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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1663-4365</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2025.1667448</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Aging Neuroscience</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The microbiota&#x02013;gut&#x02013;brain axis in mental and neurodegenerative disorders: opportunities for prevention and intervention</article-title>
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<name><surname>Yassin</surname> <given-names>Lidya K.</given-names></name>
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<name><surname>Skrabulyte-Barbulescu</surname> <given-names>Jurga</given-names></name>
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<name><surname>Alshamsi</surname> <given-names>Shamsa H.</given-names></name>
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<name><surname>Alkuwaiti</surname> <given-names>Shamma H.</given-names></name>
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<name><surname>Alnuaimi</surname> <given-names>Abeer</given-names></name>
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<name><surname>BaniYas</surname> <given-names>Shamsa</given-names></name>
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<name><surname>Aldhaheri</surname> <given-names>Dana</given-names></name>
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<name><surname>Alderei</surname> <given-names>Mahra</given-names></name>
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<name><surname>Shehab</surname> <given-names>Safa</given-names></name>
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<name><surname>Hamad</surname> <given-names>Mohammad I. K.</given-names></name>
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<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Anatomy, College of Medicine and Health Sciences, United Arab Emirates University</institution>, <addr-line>Al Ain</addr-line>, <country>United Arab Emirates</country></aff>
<aff id="aff2"><sup>2</sup><institution>The Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King&#x00027;s College London</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: R. M. Damian Holsinger, The University of Sydney, Australia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Muhammad Usman Munir, Jouf University, Saudi Arabia</p>
<p>Omamuyovwi Meashack Ijomone, University of Medical Sciences, Ondo, Nigeria</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Mohammad I. K. Hamad <email>m.hamad&#x00040;uaeu.ac.ae</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>17</volume>
<elocation-id>1667448</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Yassin, Skrabulyte-Barbulescu, Alshamsi, Saeed, Alkuwaiti, Almazrouei, Alnuaimi, BaniYas, Aldhaheri, Alderei, Shehab and Hamad.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yassin, Skrabulyte-Barbulescu, Alshamsi, Saeed, Alkuwaiti, Almazrouei, Alnuaimi, BaniYas, Aldhaheri, Alderei, Shehab and Hamad</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>The microbiota&#x02013;gut&#x02013;brain axis (MGBA) is increasingly recognized as a critical regulator of brain health, influencing both neurodevelopment and age-related neurological decline. Disruptions in this axis, driven by gut dysbiosis, have been implicated in the pathogenesis of a wide range of neurodegenerative and neuropsychiatric disorders. This review synthesizes current evidence linking microbiota alterations to Alzheimer&#x00027;s disease (AD), Parkinson&#x00027;s disease (PD), amyotrophic lateral sclerosis (ALS), multiple sclerosis (MS), and stroke&#x02014;including post-stroke cognitive impairment (PSCI), as well as major depressive disorder (MDD), bipolar disorder (BD), anxiety disorders, post-traumatic stress disorder (PTSD), and chronic fatigue syndrome (CFS). Common findings include reduced microbial diversity, depletion of short-chain fatty acid (SCFA)-producing genera, and enrichment of pro-inflammatory taxa. These changes contribute to neuroinflammation, blood&#x02013;brain barrier (BBB) dysfunction, microglial activation, and neurotransmitter imbalances. The review further explores the neurotoxic effects of external factors such as radiation and xenobiotics on the MGBA. Despite disorder-specific variations, shared microbial and immunological mechanisms emerge across the spectrum of conditions. Importantly, we present current and emerging strategies aimed at restoring gut&#x02013;brain communication, including dietary interventions such as fiber-rich and Mediterranean diets, SCFA supplementation, probiotics, and fecal microbiota transplantation (FMT). These approaches show promise in alleviating cognitive and emotional symptoms, modulating immune responses, and potentially slowing disease progression. By integrating mechanistic insights with therapeutic perspectives, this review underscores the gut microbiota as a modifiable factor in neuropsychiatric and neurodegenerative disease. Targeting the MGBA offers a novel, translational approach to intervention that may ultimately contribute to healthier brain aging and improved outcomes across the lifespan.</p></abstract>
<kwd-group>
<kwd>microbiota&#x02013;gut&#x02013;brain axis</kwd>
<kwd>neurodegenerative diseases</kwd>
<kwd>microplastics</kwd>
<kwd>gut dysbiosis</kwd>
<kwd>neuropsychiatric disorders</kwd>
<kwd>microbiome-based interventions</kwd>
<kwd>neuroinflammation</kwd>
</kwd-group>
<contract-sponsor id="cn001">United Arab Emirates University<named-content content-type="fundref-id">https://doi.org/10.13039/501100006013</named-content></contract-sponsor>
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<fig-count count="10"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="526"/>
<page-count count="55"/>
<word-count count="48484"/>
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<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neurocognitive Aging and Behavior</meta-value>
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</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The human gut microbiota, a vast, dynamic community of microorganisms inhabiting the gastrointestinal (GI) tract, has emerged as a key modulator of brain development, function, and health. Unlike the brain, the gut microbiota is directly accessible to external influences, including dietary changes, prebiotics, probiotics, antibiotics, and other lifestyle-related interventions. This accessibility opens a promising avenue for preventive and therapeutic strategies targeting the central nervous system (CNS). The concept of the MGBA stems from extensive evidence highlighting intricate communication between the gut and the brain (<xref ref-type="bibr" rid="B380">Rhee et al., 2009</xref>; <xref ref-type="bibr" rid="B93">Cryan and O&#x00027;Mahony, 2011</xref>; <xref ref-type="bibr" rid="B103">De Palma et al., 2014</xref>; <xref ref-type="bibr" rid="B497">Yassin et al., 2025</xref>; <xref ref-type="bibr" rid="B339">Nakhal et al., 2024</xref>). This bidirectional axis integrates neural, immune, endocrine, and metabolic pathways, enabling gut microbes to influence mood, cognition, and behavior. In turn, brain function and emotional states can modulate gut physiology and microbiota composition.</p>
<p>Compelling findings from germ-free (GF) animal studies have demonstrated that the absence of microbiota leads to substantial neurodevelopmental abnormalities and altered behavior (<xref ref-type="bibr" rid="B415">Sudo et al., 2004</xref>; <xref ref-type="bibr" rid="B144">Gareau et al., 2011</xref>; <xref ref-type="bibr" rid="B180">Heijtz et al., 2011</xref>; <xref ref-type="bibr" rid="B341">Neufeld et al., 2011</xref>; <xref ref-type="bibr" rid="B85">Clarke et al., 2013</xref>). Moreover, specific strains of bacteria have been shown to modulate behavior when administered to animals, suggesting a causal role for certain microbial populations in emotional and cognitive processes (<xref ref-type="bibr" rid="B38">Bercik et al., 2011</xref>; <xref ref-type="bibr" rid="B50">Bravo et al., 2011</xref>; <xref ref-type="bibr" rid="B390">Savignac et al., 2014</xref>; <xref ref-type="bibr" rid="B108">Desbonnet et al., 2015</xref>). In particular, microbial exposure has been shown to mitigate stress-induced behaviors and modulate immune responses, reinforcing the potential of microbial interventions in managing stress-related conditions (<xref ref-type="bibr" rid="B40">Bharwani et al., 2017</xref>). Even subclinical infections can induce behavioral changes in animal models without triggering classic immune activation, further supporting the functional sensitivity of the brain to microbial cues (<xref ref-type="bibr" rid="B301">Lyte et al., 1998</xref>). Additionally, external and iatrogenic factors such as radiation and xenobiotics are increasingly recognized as disruptors of gut&#x02013;brain homeostasis, contributing to neurotoxicity and immune dysregulation.</p>
<p>Disruption of the gut microbiota early in life, for instance via antibiotic exposure, can result in long-lasting changes to visceral pain sensitivity and stress responsiveness, as demonstrated in rodent models (<xref ref-type="bibr" rid="B352">O&#x00027;Mahony et al., 2014</xref>; <xref ref-type="bibr" rid="B10">Aleksic et al., 2023</xref>; <xref ref-type="bibr" rid="B162">Hamad et al., 2024a</xref>; <xref ref-type="bibr" rid="B338">Nakhal et al., 2025b</xref>). These findings underscore the developmental importance of early microbial signals in shaping neural circuits and behavior, processes modulated by molecules such as reelin, which controls dendritic growth and synaptic receptor function in post-natal entorhinal cortex neurons (<xref ref-type="bibr" rid="B165">Hamad et al., 2021b</xref>,<xref ref-type="bibr" rid="B164">a</xref>, <xref ref-type="bibr" rid="B166">2024b</xref>,<xref ref-type="bibr" rid="B162">a</xref>; <xref ref-type="bibr" rid="B265">Leifeld et al., 2022</xref>). Mechanistically, the MGBA operates through a network of interconnected signaling systems. These include immune-mediated cytokine release, hormonal modulation through the hypothalamic&#x02013;pituitary&#x02013;adrenal (HPA) axis, and neural pathways involving both the enteric nervous system (ENS) and the vagus nerve (<xref ref-type="bibr" rid="B160">Guzzetta et al., 2022</xref>; <xref ref-type="bibr" rid="B228">Kasarello et al., 2023</xref>). Recent evidence demonstrates that genetic disruptions such as MECP2 loss in Rett syndrome lead to distinct, cell-type-specific alterations in dendritic architecture. These include alterations in MEC II pyramidal cell projections to the hippocampal CA1 and cortical areas, as well as stellate cells targeting the dentate gyrus and CA3 regions, both of which are involved in memory and spatial navigation (<xref ref-type="bibr" rid="B247">Krishnan et al., 2025</xref>). Additionally, molecular signals such as pathogen- and damage-associated molecular patterns (PAMPs and DAMPs) can cross into the circulation, potentially impacting both the microbiota and CNS function. While vagus nerve signaling has been strongly implicated in microbiota&#x02013;brain communication, the full scope of neuronal networks involved remains incompletely understood. Moreover, diverse extracellular molecular signals, including neurotransmitters, neurotrophins, extracellular matrix proteins, contact-mediated ligands, and secreted diffusible cues, shape neural circuit development and modulate brain connectivity during early life (<xref ref-type="bibr" rid="B163">Hamad et al., 2023</xref>). These molecular signals may likewise influence gut&#x02013;brain communication in adulthood.</p>
<p>There is increasing recognition that imbalances in the gut microbial community, referred to as dysbiosis, are associated with a range of neurological disorders. These include developmental disorders, neurodegenerative diseases, neuroimmune and metabolic conditions, as well as affective and behavioral syndromes (<xref ref-type="bibr" rid="B512">Zhang et al., 2021d</xref>; <xref ref-type="bibr" rid="B150">G&#x000F3;ralczyk-Bi&#x00144;kowska et al., 2022</xref>; <xref ref-type="bibr" rid="B291">Loh et al., 2024</xref>). A balanced microbiome appears to be essential for healthy brain function, while microbial perturbations can contribute to cognitive deficits, mood disturbances, and neuroinflammation (<xref ref-type="bibr" rid="B406">Sorboni et al., 2022</xref>). Recent findings demonstrate that antibiotic-induced gut dysbiosis can also reshape dendritic architecture in adult cortical interneurons (<xref ref-type="bibr" rid="B337">Nakhal et al., 2025a</xref>) and stellate cells in the medial entorhinal cortex (<xref ref-type="bibr" rid="B334">Mydeen et al., 2025</xref>). The bidirectional nature of the MGBA further implies that not only can the brain influence gut health, but gut-targeted interventions may offer tangible neuroprotective benefits. In this review, we synthesize recent advances in our understanding of gut&#x02013;brain communication with a focus on prevention and intervention strategies. We examine how microbial, environmental, and host factors interact to influence brain health across various neurological disease categories. This review explores gut dysbiosis across a broad spectrum of conditions, including neurodegenerative diseases (e.g., AD, PD, ALS), psychiatric disorders (e.g., MDD, BD, PTSD, anxiety), autoimmune syndromes (e.g., MS), and neuroinflammatory or toxic exposures (e.g., radiation, xenobiotics). Special attention is given to the translational potential of microbiome-based approaches, including dietary modification, psychobiotics, and FMT, to prevent or mitigate CNS disorders.</p>
</sec>
<sec id="s2">
<title>2 Neurodegenerative disorders</title>
<sec>
<title>2.1 Alzheimer&#x00027;s disease (AD)</title>
<p>Evidence indicates that gut microbiota composition is altered in AD, with a trend toward reduced diversity and specific bacterial taxa linked to disease severity. The effect of MGBA arises primarily through neuroinflammatory pathways, microbial metabolites, and the modulation of systemic immune responses, influencing the brain pathology (<xref ref-type="bibr" rid="B332">Mulak, 2021</xref>; <xref ref-type="bibr" rid="B431">Thakur et al., 2023</xref>). Probiotic and dietary interventions for the restoration of microbiota balance have shown promising results in animal models and initial human trials, with some signs of cognitive improvement and reduced inflammatory markers (<xref ref-type="bibr" rid="B226">Kang and Zivkovic, 2021</xref>; <xref ref-type="bibr" rid="B235">Kesika et al., 2021</xref>). While consistent microbial alterations and mechanism pathways are emerging, evidence is preliminary; microbiome-targeted therapies are promising but require robust clinical validation.</p>
<sec>
<title>2.1.1 Background</title>
<p>AD is a progressive loss of memory, cognitive capabilities, speech, executive abilities, and language (<xref ref-type="bibr" rid="B31">Bayles et al., 2018</xref>). There are also changes in personality and behavior with the disease. AD decreases life span; the median survival rate of a person with AD is 5&#x02013;9.3 years (<xref ref-type="bibr" rid="B179">Hegde et al., 2022</xref>; <xref ref-type="bibr" rid="B227">Kao et al., 2018</xref>). Many common neuropathological factors are linked with progressive AD. Neurofibrillary tangles are pathological, entangled structures in the cytoplasm of neuron cell bodies, dendrites, and axons (<xref ref-type="bibr" rid="B320">Metaxas and Kempf, 2016</xref>). Neuritic plaques are microscopic lesions in dendrites and terminal portions of axons. Neuritic plaques are also called senile plaques. Granulovacuolar degeneration (GVD) is a state where cells create microscopic vacuoles with granulated protoplasm (<xref ref-type="bibr" rid="B140">Funk et al., 2011</xref>). GVD lesions, found in regions such as the neocortex and amygdala, align with areas involved in stress and sleep regulation (<xref ref-type="bibr" rid="B432">Thal et al., 2011</xref>). In AD, GVD increases with disease severity, correlating with neurofibrillary lesions and memory decline, similar to &#x003B2;-amyloid plaques and tangles. However, the exact mechanism and the connection to Tau remain unclear (<xref ref-type="bibr" rid="B140">Funk et al., 2011</xref>). Reduced dendritic connections hinder neuron impulse transmission. Dopamine and cholinergic neurotransmitter deficiencies are common with all types of AD. Both white and gray matter are lost, best observed in the frontal and temporal lobes of the brain (<xref ref-type="bibr" rid="B179">Hegde et al., 2022</xref>; <xref ref-type="bibr" rid="B227">Kao et al., 2018</xref>). Increased ventricles and sulcal dilatation are a consequence of neuron degeneration within the brain. Reduced cerebral metabolism is a sign of pathological changes at the neuronal level (<xref ref-type="bibr" rid="B475">Wang Z. et al., 2025</xref>). When neurofibrillary tangles, neuritic plaques, and other injury occur in neurons within the brain, metabolic function is reduced (<xref ref-type="bibr" rid="B475">Wang Z. et al., 2025</xref>). Numerous clinical trials focusing on amyloid-beta (A&#x003B2;) and Tau proteins of AD within recent decades have been ineffective (<xref ref-type="bibr" rid="B19">Asher and Priefer, 2022</xref>). Existing drugs achieve little cognitive improvement and cannot halt disease progression (<xref ref-type="bibr" rid="B32">Bazzari et al., 2019</xref>). Because of the enigma of AD molecular mechanisms, there is an urgent need for alternative therapies acting on multiple biological pathways (<xref ref-type="bibr" rid="B483">Wu et al., 2024</xref>).</p>
</sec>
<sec>
<title>2.1.2 Molecular and cellular mechanisms underlying the pathogenesis of AD</title>
<p>Amyloid plaques arise from the aggregation of A&#x003B2; peptides, particularly A&#x003B2;4<sub>2</sub>, which is harmful due to its tendency to form plaques and resist dissolving (<xref ref-type="bibr" rid="B211">Jarrett et al., 1993</xref>). The peptides are generated when the amyloid precursor protein (APP) is cleaved by BACE1 and &#x003B3;-secretase (<xref ref-type="bibr" rid="B18">Ashe, 2020</xref>). The amyloid cascade hypothesis, which came into being as a result of the work of Hardy and Higgins in 1992, has almost since then been the dominant purview in the field of AD. According to the hypothesis, accumulation of A&#x003B2; resulting from APP triggers tau hyperphosphorylation and consequent neurodegeneration (<xref ref-type="bibr" rid="B302">Ma et al., 2022</xref>). Tau, which is normally a microtubule-stabilizing protein, becomes pathogenic after being hyperphosphorylated, thereby compromising neuronal transport systems. The hypothesis has expanded to include vascular dysfunction, oxidative stress, microglial activation, and impaired proteolysis (<xref ref-type="bibr" rid="B381">Roda et al., 2022</xref>). Nevertheless, one singular hypothesis cannot fully justify the complex etiology or mechanisms underlying AD (<xref ref-type="bibr" rid="B221">Joe and Ringman, 2019</xref>). Toxic A&#x003B2; oligomers activate microglia and encourage the release of pro-inflammatory cytokines (<xref ref-type="bibr" rid="B100">De Felice et al., 2022</xref>). Moreover, the deposit of A&#x003B2; in the vascular system may lead to the development of cerebral amyloid angiopathy, which is frequently observed in AD and involves cerebrovascular pathology (<xref ref-type="bibr" rid="B147">Glenner and Wong, 1984</xref>).</p>
<p>Insulin, a hormone produced by the pancreas &#x003B2;-cells, regulates glucose metabolism. When the body&#x00027;s tissues become less responsive to insulin, a condition known as insulin resistance, it increases the risk of type 2 diabetes mellitus (T2DM), metabolic syndrome, fatty liver disease, and atherosclerosis (<xref ref-type="bibr" rid="B17">Arnold et al., 2018</xref>; <xref ref-type="bibr" rid="B262">Lee et al., 2022</xref>). Aging often worsens this resistance through chronic high insulin levels. Emerging research links insulin resistance to AD; for instance, diabetic rats induced with streptozotocin show AD-like brain changes, including A&#x003B2; and neuroinflammation (<xref ref-type="bibr" rid="B84">Clark et al., 2012</xref>). While the exact connection between AD and T2DM remains unclear, insulin resistance contributes to cognitive decline. Enhancing insulin signaling in the hippocampus has shown promise in improving memory and cognition in AD models (<xref ref-type="bibr" rid="B42">Biessels and Reagan, 2015</xref>). Tau hyperphosphorylation and A&#x003B2; accumulation are promoted by microglial and astrocytic actions. A&#x003B2; deposits give rise to microglia-mediated neuroinflammation (<xref ref-type="bibr" rid="B431">Thakur et al., 2023</xref>). While the BBB tries to limit systemic inflammation, it can be compromised by cytokines such as tumor necrosis factor (TNF-&#x003B1;) and IL-1&#x003B2;. Sustained glial activation drives neuroinflammation in a vicious cycle via reactive oxygen species (ROS), cytokines, and chemokines (<xref ref-type="bibr" rid="B431">Thakur et al., 2023</xref>). Astrocytes, key modulators of neuroinflammation, congregate around A&#x003B2; plaques, as described in both human and mouse models. They affect amyloidosis through their role in the synthesis and disposal of A&#x003B2;, as well as through interactions with other CNS cells (<xref ref-type="bibr" rid="B138">Frost and Li, 2017</xref>). In reaction to AD, astrocytes experience a shift in profile, one that is reactive and pro-inflammatory while losing homeostatic roles thus disrupting BBB integrity, ion and neurotransmitter buffering, and energy metabolism (<xref ref-type="bibr" rid="B276">Liddelow et al., 2017</xref>; <xref ref-type="bibr" rid="B130">Escartin et al., 2021</xref>). Reactive astrocytes also release neurotoxic saturated lipids through the APOJ and the C3 complement component, thus affecting neuronal network activity via C3aR signaling (<xref ref-type="bibr" rid="B274">Lian et al., 2015</xref>; <xref ref-type="bibr" rid="B276">Liddelow et al., 2017</xref>). Importantly, as the chief brain source of APOE, astrocytes, especially those expressing the APOE4 allele, promote A&#x003B2; aggregation, tau pathologies, BBB breakdown, and cerebrovascular dysfunctions (<xref ref-type="bibr" rid="B467">Wang M. et al., 2021</xref>).</p>
<p>There are still important questions concerning the role of the gut microbiome in astrocyte function in AD that have yet to be studied. Of interest are which species of microbes mediate MGBA-astrocyte signaling; which astrocytic molecular pathways are modulated by the MGBA; how the MGBA-regulated astrocytic pathways contribute to AD pathology; and whether the MGBA-astrocyte could be therapeutically targeted for our benefit. On the immune front, gut microbiota can increase systemic inflammation by releasing lipopolysaccharides (LPS) and proinflammatory cytokines, and they also produce amyloids, which may stimulate neural amyloid production via immune priming. Recognition of bacterial amyloids by toll-like receptor-2 (TLR2) activates immune cells, escalating inflammation (<xref ref-type="bibr" rid="B332">Mulak, 2021</xref>). In the gut, T cells maintain immune balance, differentiating into proinflammatory (Th1, Th17) or anti-inflammatory [Th2, regulatory T cells (Tregs)] subsets (<xref ref-type="bibr" rid="B117">Dressman and Elyaman, 2022</xref>).</p>
</sec>
<sec>
<title>2.1.3 The link between gut microbiome and AD</title>
<p>AD, based on emerging research over the past two decades, may be associated with chronic stress, where prolonged exposure to adverse life events (such as MDD and anxiety) increases the risk of developing the disease (<xref ref-type="bibr" rid="B203">Huang et al., 2024</xref>). The HPA axis plays a key role in this connection; it is the central component that regulates the stress response by stimulating the release of glucocorticoids from the adrenal cortex (<xref ref-type="bibr" rid="B332">Mulak, 2021</xref>). Elevated glucocorticoid levels, along with decreased glucocorticoid receptor (GR) function in early AD, are linked to A&#x003B2; production and abnormal tau phosphorylation (<xref ref-type="bibr" rid="B62">Canet et al., 2019</xref>). Additionally, GR dysregulation impacts dyslipidemia and insulin resistance. Therefore, chronic stress-induced dysregulation of the HPA axis, potentially mediated by imbalances in gut microbiota, might be a crucial link between dysbiosis and the progression of AD (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>The figure illustrates the bidirectional nature of liver function, altogether with brain health, in relation to AD. The liver is involved in the clearance of circulating amyloid-beta (A&#x003B2;), the regulation of systemic inflammation, and the modulation of key metabolic processes. Disruptions in liver function may interfere with A&#x003B2; metabolism and clearance, increase BBB permeability, and trigger neuroinflammatory responses; all factors that may contribute to accelerated pathology of AD. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0001.tif">
<alt-text>Diagram depicting interactions between the liver and brain in Alzheimer&#x00027;s disease. It highlights the liver&#x00027;s role in amyloid-beta clearance, systemic inflammation, and metabolic regulation. Arrows indicate processes from liver to brain, like inflammation and barrier leakage, and from brain to liver, including sympathetic responses and adrenal release. Additional elements showcase alterations in ammonia levels, enzymes, glucose metabolism, and amyloid-beta uptake. A process flow at the bottom illustrates liver dysfunction leading to amyloid-beta disruptions and Alzheimer&#x00027;s symptoms.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>2.1.4 Bile acids (BAs) as modulators in Alzheimer&#x00027;s brain-gut axis</title>
<p>A potential therapeutic approach for AD consists of the BAs, which are produced in the liver (<xref ref-type="bibr" rid="B153">Grant and DeMorrow, 2020</xref>). Although their largest involvement is in nutrient and metabolic regulation, around 10% of them might cross the BBB, as shown in animal studies with mechanistic details (<xref ref-type="bibr" rid="B330">Monteiro-Cardoso et al., 2021</xref>). A comparison of 119 patients suffering from AD with 267 controls found that alterations in serum BAs correlate with cerebrospinal fluid (CSF) A&#x003B2;1&#x02013;42, tau, and p-tau. Higher concentrations of glycochenodeoxycholic acid, glycodeoxycholic acid, hyodeoxycholic acid, and certain bile acid ratios were associated with patient CSF tau and p-tau. Higher hyodeoxycholic acid and certain ratios were associated with lower CSF A&#x003B2;1&#x02013;42. While these associations suggest a link between serum bile acids and AD pathology, a causal relationship has yet to be established (<xref ref-type="bibr" rid="B335">Nabizadeh et al., 2024</xref>). BAs act in the brain by interacting with key receptors on neurons and glial cells-Farnesoid X receptor (FXR), Takeda G protein receptor 5 (TGR5), GR, and sphingosine-1-phosphate receptor 2 (S1PR2; <xref ref-type="bibr" rid="B242">Kiriyama and Nochi, 2019</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>). BAs may modulate gut microbiota through antimicrobial properties, with deconjugated BAs produced by bacterial bile salt hydrolases being much less toxic to gut bacteria. In animal models of neurodegenerative disease, activation of TGR5 receptor was neuroprotective, decreasing neuronal death and inflammatory response (<xref ref-type="bibr" rid="B330">Monteiro-Cardoso et al., 2021</xref>). S1PR2, located both in the liver and in the brain, activates the ERK and AKT pathways that regulate cell survival, inflammation, and stress response in the CNS. In the liver, S1PR2 activates pro-insulin signaling through enhancing insulin-degrading enzyme (IDE), thereby potentially alleviating insulin resistance associated with T2DM and AD based on animal mechanistic studies (<xref ref-type="bibr" rid="B455">Vettorazzi et al., 2017</xref>; <xref ref-type="bibr" rid="B504">Zangerolamo et al., 2022</xref>). Beyond directly influencing pathological changes in the AD brain, BAs may provide neuroprotective benefits by modulating the microbiota&#x02013;gut&#x02013;brain (MGB) axis, which supports memory function. GM also regulates BA synthesis; both antibiotic use and germ-free conditions suppress the expression of CYP7A1 and CYP27A1, key enzymes involved in BA production based on animal mechanistic studies (<xref ref-type="bibr" rid="B79">Chiang and Ferrell, 2019</xref>). Deconjugated BAs, which are less toxic to gut microbes, are reduced in AD, likely due to decreased BSH-secreting bacteria like <italic>Clostridium</italic> and <italic>Bifidobacterium</italic>, as observed in human associative studies (<xref ref-type="bibr" rid="B332">Mulak, 2021</xref>). While these findings support the hypothesis that restoring BA&#x02013;microbiota interactions could influence AD symptoms, causal evidence in humans remains limited and warrants further investigation. Studies consistently show altered MGBA composition in AD patients, suggesting a possible role in disease onset and progression, as shown in <xref ref-type="table" rid="T1">Table 1</xref>. Confounding variables, such as diet and environmental exposures, complicate comparisons.</p>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>BAs provide neuroprotection through a complex system of physiological mechanisms. This figure illustrates how BAs are derived from the liver, transformed by gut microbiota, and interact with receptors such as the Farnesoid X receptor (FXR) and G protein-coupled bile acid receptor (TGR5) along the intestinal and brain axis. The modulation of microbial metabolites and secondary BAs within the gut lumen affects enteroendocrine and immune cells (e.g., dendritic cells, macrophages), leading to the secretion of gut hormones, with serotonin (5-HT) being the most prominent. These signals then travel via the vagus nerve to the CNS, where they influence processes such as synaptic plasticity, neurotransmission, inflammation, and neuroprotection. Regarding FXR, which interacts with BAs in the liver, it acts as a mediator of metabolic diseases like type 2 diabetes along the liver&#x02013;gut&#x02013;brain axis. In the brain, BA signaling through receptors like TGR5 and S1PR2 plays a role in mood regulation, cognition, anti-inflammatory responses, and neuroprotection, all of which are vital in neurodegenerative diseases such as Alzheimer&#x00027;s. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0002.tif">
<alt-text>Diagram illustrating the role of bile acids as mediators between the liver, gut, and brain. Bile acids produced by the liver are modified by gut microbiota, interacting with receptors like FXR and TGR5. These interactions affect brain health by influencing enteroendocrine and immune cells, leading to the release of gut hormones. Signals travel to the brain via the vagus nerve, affecting neurotransmission, inflammation, mood, and neuroprotection. The image includes a cross-section of the gut wall, showing various cells like enteroendocrine and goblet cells, and a blood-brain barrier illustration.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Summary of studies concerning the alterations of the gut microbiota in AD.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Experimental subject</bold></th>
<th valign="top" align="left"><bold>Main findings</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="6">APP/PS1 mice</td>
<td valign="top" align="left">&#x02191;Proteobacteria, &#x02191;Erysipelotrichaceae, and &#x02191;Firmicutes</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B30">B&#x000E4;uerl et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">Altered gut microbial diversity with &#x02191;Proteobacteria and Verrucomicrobia; and &#x02193;SCFA</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B508">Zhang et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x02193;Microbial diversity, &#x02193;spatial memory, &#x02191;<italic>Odoribacter</italic> and <italic>Helicobacter</italic> (genus level), and &#x02193;<italic>Prevotella</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B396">Shen et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x02193;A&#x003B2; plaques, &#x02193;plaque-localized glial reactivity, and significantly altered microglial morphology</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B323">Minter et al., 2016</xref>, <xref ref-type="bibr" rid="B322">2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">AD is associated with shifts of the gut microbiome toward profiles that resemble those seen in inflammatory disorders</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B30">B&#x000E4;uerl et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">Altered peripheral inflammatory mediators in antibiotic-treated Tg mice</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B323">Minter et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">C57BL/6 mice</td>
<td valign="top" align="left">Infection with the pathogenic bacteria <italic>Citrobacter rodentium</italic> resulted in stress-induced memory disturbances</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B144">Gareau et al., 2011</xref></td>
</tr>
<tr>
<td valign="top" align="left">Symptomatic Tg2576 mice</td>
<td valign="top" align="left">&#x02191;Firmicutes, &#x02191;Bacteroidetes, and &#x02191;<italic>Lactobacillus</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B187">Honarpisheh et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Post-mortem AD brains</td>
<td valign="top" align="left">LPS and <italic>Escherichia coli</italic> K99 colocalize with A&#x003B2; in plaques and perivascular aggregates</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B505">Zhan et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">LPS accumulates in neocortical neurons in AD</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B514">Zhao et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">16S rRNA sequencing shows increased bacterial populations</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B126">Emery et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="8">Living AD human participants</td>
<td valign="top" align="left">&#x02191;Pro-inflammatory <italic>Escherichia/Shigella</italic>, abundance of anti-inflammatory <italic>Eubacterium rectale</italic>; &#x02193;<italic>Bacteroides fragilis</italic> in AD</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B68">Cattaneo et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x02193;Microbial diversity; &#x02193;Firmicutes, &#x02193;<italic>Bifidobacterium</italic>; and &#x02191;Bacteroidetes in AD</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B457">Vogt et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;Actinobacteria; &#x02191;Enterococcaceae; &#x02191;Lactobacillaceae, &#x02191;Ruminococcaceae; &#x02193;Bacteroidetes, &#x02193;Lachnospiraceae, &#x02193;Veillonellaceae</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B525">Zhuang et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">Compared to controls, individuals with AD showed &#x02193;Clostridia, &#x02193;Lachnospiraceae, and &#x02193;Ruminococcaceae, along with &#x02191;Proteobacteria and &#x02191;Enterobacteriaceae</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B284">Liu et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">AD patients exhibited &#x02191;<italic>Bifidobacterium, &#x02191;Blautia, &#x02191;Dorea, &#x02191;Escherichia, &#x02191;Lactobacillus</italic>, and <italic>&#x02191;Streptococcus</italic>, while showing &#x02193;<italic>Alistipes, &#x02193;Bacteroides, &#x02193;ParaBacteroides, &#x02193;Paraprevotella</italic>, and <italic>&#x02193;Sutterella</italic> compared to controls</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B267">Li et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">AD patients showed &#x02191;<italic>Alistipes, &#x02191;Bacteroides, &#x02191;Barnesiella, &#x02191;Collinsella, &#x02191;Odoribacter</italic>; and <italic>&#x02193;Eubacterium, &#x02193;Lachnospiraceae Clostridium</italic>, and <italic>&#x02193;Roseburia</italic> compared to controls</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B169">Haran et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">CSF TMAO levels are &#x02191; in AD and positively correlate with CSF biomarkers of amyloid accumulation, tau pathology, and neuronal damage</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B458">Vogt et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">Significant difference in the gut microbial genotypes between the AD and control human populations</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B356">Paley et al., 2018</xref></td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>SCFA, short-chain fatty acids; A&#x003B2;, amyloid-beta; Tg, transgenic; LPS, lipopolysaccharide; rRNA, ribosomal RNA; CSF, cerebrospinal fluid; TMAO, trimethylamine N-oxide; &#x02191;, Increase; &#x02193;, Decrease.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>2.1.5 Therapeutic interventions</title>
<sec>
<title>2.1.5.1 Probiotics</title>
<p>Probiotics are supplements made of live, helpful bacteria, mainly <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic>, that support gut health. They are used to correct imbalances in the MGBA and may help slow disease progression (<xref ref-type="bibr" rid="B235">Kesika et al., 2021</xref>). Animal studies suggest that strains like <italic>Lactobacillus helveticus, L. plantarum</italic>, and <italic>L. fermentum</italic> can improve memory and cognitive function in AD models (<xref ref-type="bibr" rid="B235">Kesika et al., 2021</xref>), as shown in <xref ref-type="table" rid="T2">Table 2</xref>. Similarly, <italic>Bifidobacterium breve</italic> A1 has been shown to reduce brain inflammation and suppress harmful immune responses triggered by amyloid buildup in the hippocampus (<xref ref-type="bibr" rid="B245">Kobayashi et al., 2017</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Application and therapeutic effect of multiple probiotics in different animal models.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Probiotic</bold></th>
<th valign="top" align="left"><bold>Duration</bold></th>
<th valign="top" align="left"><bold>Sample size</bold></th>
<th valign="top" align="left"><bold>Results</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Akkermansia muciniphila</italic></td>
<td valign="top" align="left">6&#x02013;7 months</td>
<td valign="top" align="left">6&#x02013;7 months old wild-type zebrafish (<italic>n</italic> = 100)</td>
<td valign="top" align="left">Improving glucose levels and diabetes markers in diabetic-AD zebrafish, while also easing AD symptoms and enhancing memory, mood, and social behavior</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B376">Qu et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bifidobacterium breve</italic></td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">16-weeks old male APPswe/PS1dE 9 mice (<italic>n</italic> = 8)</td>
<td valign="top" align="left">Strengthening the gut barrier, reduced neuroinflammation and synaptic dysfunction, improved gut microbiota, and alleviated cognitive decline in APP/PS1 mice</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B522">Zhu G. et al., 2023</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bifidobacterium breve strain A1</italic></td>
<td valign="top" align="left">6 days</td>
<td valign="top" align="left">10-week-old male ddY mice (<italic>n</italic> = 11/12)</td>
<td valign="top" align="left">This probiotic reversed behavioral impairments in memory tests, and its non-living components or metabolite acetate partially improved cognitive decline in AD mice</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B245">Kobayashi et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bifidobacterium breve</italic></td>
<td valign="top" align="left">6 weeks</td>
<td valign="top" align="left">8-weeks old male C57BL/6J mice (<italic>n</italic> = 8)</td>
<td valign="top" align="left">Enhancing synaptic plasticity and increasing BDNF, thereby slowing AD progression</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B523">Zhu et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bifidobacterium longum</italic></td>
<td valign="top" align="left">4 and 8 weeks</td>
<td valign="top" align="left">6-months, 18 months old male C57BL/6 and 5 &#x000D7; FAD-Tg mice (<italic>n</italic> = 6)</td>
<td valign="top" align="left">Modifying the gut microbiota in 5 &#x000D7; FAD-Tg and aged mice reduced fecal and blood LPS, suppressed NF-&#x003BA;B and TNF-&#x003B1;, boosted colon tight junction proteins, and decreased A&#x003B2; production, related enzymes, and accumulation in the hippocampus</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B258">Lee et al., 2019b</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bifidobacterium bifidum</italic> and <italic>Bifidobacterium longum</italic></td>
<td valign="top" align="left">30 days</td>
<td valign="top" align="left">3-months old C57BI/6 and 5 &#x000D7; FAD mice (<italic>n</italic> = 10)</td>
<td valign="top" align="left">Inhibiting amyloidosis and apoptotic processes by improving neuroinflammatory responses and ameliorating cognitive and memory deficits in AD mice</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B238">Kim H. et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bifidobacterum bifidum, Lactobacillus plantarum</italic> and exercise</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">8-weeks old male Wistar rat (<italic>n</italic> = 5)</td>
<td valign="top" align="left">Improving A&#x003B2; plaque deposition and reducing brain cell death in the brains of AD mice</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B394">Shamsipour et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Bifidobacterium lactis</italic></td>
<td valign="top" align="left">45 days</td>
<td valign="top" align="left">4-months old APP/PS1 mice (<italic>n</italic> = 11/12)</td>
<td valign="top" align="left">Reducing the deposition of A&#x003B2; plaque in the whole brain, preventing the imbalance of intestinal flora, and alleviating the cognitive impairment of APP/PS1 mice</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B64">Cao et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Lactobacillus plantarum</italic></td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">8-week-old male C57BL/6J, 6-month-old male wild-type, and PrP hA&#x003B2;PPswe/PS1&#x00394; E9 transgenic mice (<italic>n</italic> = 15/30)</td>
<td valign="top" align="left">Improving cognitive deterioration, reducing the level of A&#x003B2; in the hippocampus, protecting the integrity and plasticity of neurons, and inhibiting the synthesis of TMAO</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B471">Wang Q.-J. et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left"><italic>Lactobacillus plantarum</italic></td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">6-weeks old SPF grade Wistar male rats (<italic>n</italic> = 8)</td>
<td valign="top" align="left">Improving cognitive impairment and anxiety-like behavior in AD rats, reducing neuronal degeneration and A&#x003B2; buildup, and suppressing microglial activation and neuroinflammation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B473">Wang Y. et al., 2022</xref></td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>AD, Alzheimer&#x00027;s disease; LPS, lipopolysaccharide; A&#x003B2;, amyloid-beta; BDNF, brain-derived neurotrophic factor.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>2.1.5.2 Prebiotics</title>
<p>Prebiotics are non-digestible fibers like oligosaccharides and polysaccharides that feed good gut bacteria. These compounds not only help beneficial microbes survive but also support the production of gut-derived metabolites important for brain and gut health (<xref ref-type="bibr" rid="B226">Kang and Zivkovic, 2021</xref>). For instance, lactulose encourages the growth of healthy gut bacteria and may protect brain function in AD models (<xref ref-type="bibr" rid="B259">Lee H. J. et al., 2021</xref>). Dietary fibers such as fructo-oligosaccharides (FOS) and galacto-oligosaccharides (GOS) can enhance the gut&#x00027;s production of secondary BAs and SCFAs, both of which support intestinal integrity and may reduce neuroinflammation (<xref ref-type="bibr" rid="B385">Salminen et al., 2021</xref>). FOS, found in fruits and vegetables, is especially effective in promoting <italic>Bifidobacterium</italic> and <italic>Lactobacillus</italic> growth. In AD animal models, FOS helped preserve gut microbial balance, reduced brain cell death, and decreased the buildup of harmful proteins, such as tau and A&#x003B2;1&#x02013;42 (<xref ref-type="bibr" rid="B74">Chen et al., 2017</xref>). These protective effects are thought to involve the MGBA, including modulation of the glucagon-like peptide-1 (GLP-1) receptor pathway, which influences both brain and metabolic health (<xref ref-type="bibr" rid="B417">Sun et al., 2019a</xref>). While human trials show more modest effects, prebiotic intake has been associated with subtle improvements in gut microbiota composition and immune-related gene expression, especially in older adults.</p>
</sec>
<sec>
<title>2.1.5.3 FMT</title>
<p>FMT is performed by transferring stool from healthy donors into a recipient&#x00027;s GI tract to restore microbial diversity (<xref ref-type="bibr" rid="B12">Allegretti et al., 2018</xref>). Currently, FMT is officially approved only for the treatment of recurrent <italic>Clostridium difficile</italic> infection. However, the feasibility of using it to treat metabolic disorders and neurodegenerative diseases is currently under investigation in clinical trials (<xref ref-type="bibr" rid="B289">Liu Y. et al., 2020</xref>). FMT induces cognitive improvement while lessening the accumulation of A&#x003B2; in the brain, as shown in animal models of AD, as shown in <xref ref-type="table" rid="T3">Table 3</xref>. However, there are several issues with FMT as follows: biological mechanisms remain undescribed, donor stool will not always be available, risks and side effects remain unclear, and long-term safety data are extremely limited (<xref ref-type="bibr" rid="B289">Liu Y. et al., 2020</xref>). Future research will have to focus on developing areas such as formalizing procedures, ensuring safety protocols, and establishing reliable stool banks. Therefore, recommendations for incorporating FMT into standard care for AD cannot yet be made.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Fecal microbiota transplantation (FMT) may enhance cognition and A&#x003B2; regulation, as suggested by findings from human and animal clinical studies.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>References</bold></th>
<th valign="top" align="left"><bold>Sample size</bold></th>
<th valign="top" align="left"><bold>Donor</bold></th>
<th valign="top" align="left"><bold>Recipient</bold></th>
<th valign="top" align="left"><bold>Results</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B175">Hazan (2020)</xref></td>
<td valign="top" align="left">Case study (<italic>n</italic> = 1)</td>
<td valign="top" align="left">85-year-old woman</td>
<td valign="top" align="left">82-year-old man with recurrent AD</td>
<td valign="top" align="left">&#x02191;Cognitive function<break/> &#x02191;Memory<break/> &#x02191;Mood</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B359">Park et al. (2021)</xref></td>
<td valign="top" align="left">Case study (<italic>n</italic> = 1)</td>
<td valign="top" align="left">27-year-old healthy man</td>
<td valign="top" align="left">90-year-old woman with AD</td>
<td valign="top" align="left">&#x02191;Cognitive function<break/> &#x02191;Microbiota &#x003B1; Diversity<break/> &#x02191;Microbiota &#x003B2; diversity</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B239">Kim N. et al. (2021)</xref></td>
<td valign="top" align="left">Mice (<italic>n</italic> = 8)</td>
<td valign="top" align="left">5 &#x000D7; FADmice</td>
<td valign="top" align="left">C57BL/6 mice</td>
<td valign="top" align="left">&#x02193;Adult hippocampal neurogenesis and BDNF expression<break/> &#x02191;Microglia activation</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B419">Sun et al. (2019b)</xref></td>
<td valign="top" align="left">Mice (<italic>n</italic> = 8)</td>
<td valign="top" align="left">WT mice</td>
<td valign="top" align="left">APPswe/PS1dE9 transgenic (Tg) mouse model</td>
<td valign="top" align="left">&#x02193;Amyloid brain deposition (A&#x003B2; 40 and A&#x003B2; 42)<break/> &#x02193;Tau protein phosphorylation &#x02191;Synaptic plasticity<break/> &#x02191;SCFA and microbiota composition</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B114">Dodiya et al. (2019)</xref></td>
<td valign="top" align="left">Mice (<italic>n</italic> = 9)</td>
<td valign="top" align="left">Age-matched APPPS1-21</td>
<td valign="top" align="left">ABX-treated APPPS1-21 male</td>
<td valign="top" align="left">&#x02193;A&#x003B2; pathology &#x02191;Microglial physiology</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B448">Valeri et al. (2021)</xref></td>
<td valign="top" align="left">Mice (<italic>n</italic> = 10)</td>
<td valign="top" align="left">Either 4 months old or 1 year old wild type mice</td>
<td valign="top" align="left">5 &#x000D7; FAD mice (4-month old)</td>
<td valign="top" align="left">&#x02191;Enterobacteriaceae, Lactobacillaceae, &#x02193;Firmicutes<break/> &#x02191;Plaques in the dentate gyrus and prefrontal cortex</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>AD, Alzheimer&#x00027;s disease; BDNF, brain-derived neurotrophic factor; A&#x003B2;, amyloid beta; SCFA, short-chain fatty acid; ABX, antibiotic cocktail; &#x02191;, Increase; &#x02193;, Decrease.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>2.1.5.4 Dietary intervention</title>
<p>Diet strongly influences gut microbiota composition and activity, depending primarily on the nutrients we eat. The Mediterranean diet (MeDi), rich in fruits, vegetables, legumes, and whole grains, has been shown to lower the likelihood of cognitive decline and delay the onset of AD by 1.5&#x02013;3.5 years (<xref ref-type="bibr" rid="B292">Lourida et al., 2013</xref>). This diet alters gut microbiota profiles, such as higher population levels of Clostridium cluster XIVa, Lactobacilli, and Bifidobacteria, and lower levels of Firmicutes and Proteobacteria. MeDi can further influence gut bacterial diversity and functionality, generating healthy metabolites, like SFCAs, which offer multifaceted benefits for the intestinal, metabolic, and immune health of the host organism (<xref ref-type="bibr" rid="B336">Nagpal et al., 2019</xref>). A high fiber diet further aids in better blood glucose control among T2DM and AD subjects, possibly mediated through impacts on hemoglobin A1c and gut hormone GLP-1 levels (<xref ref-type="bibr" rid="B513">Zhao et al., 2018</xref>). Omega-3 fatty acids ingested from foods like sardines, walnuts, seaweed oil, and deep-sea fish provide neuroprotective effects by supporting neuronal development and synaptic activity while reducing inflammation over the gut&#x02013;brain axis (<xref ref-type="bibr" rid="B252">Latifi et al., 2016</xref>).</p>
</sec>
<sec>
<title>2.1.5.5 Exercise</title>
<p>Research in humans shows that regular physical exercise helps protect the brain from age-related cognitive decline and reduces the risk of AD (<xref ref-type="bibr" rid="B316">Meng et al., 2020</xref>). This protection is likely due to increased growth of new neurons in the hippocampus, improved signaling of brain-derived neurotrophic factor (BDNF), better synaptic function, and reduced brain inflammation (<xref ref-type="bibr" rid="B343">Nichol et al., 2008</xref>). Emerging evidence suggests that the MGBA might also play a key role in these effects. Both human and animal studies have shown that exercise changes the diversity and composition of gut bacteria. Microbiota changes in people, however, are heterogeneous, with food intake being one major determinant of gut microbial composition that might confound the apparent exercise-related effects (<xref ref-type="bibr" rid="B518">Zhou et al., 2024</xref>). In a key study by Masumoto and colleagues, 5 weeks of exercise in mice changed their gut microbiome and increased levels of butyrate (<xref ref-type="bibr" rid="B311">Matsumoto et al., 2008</xref>). Because exercise improves brain function and gut microbiome composition, its brain-protective effects in AD may be partly mediated through the microbiome. To better understand this relationship, future studies should compare AD mice models with disrupted gut microbiomes to those with healthy microbiomes during exercise interventions (<xref ref-type="bibr" rid="B72">Chandra et al., 2023</xref>). If the microbiome is confirmed as a key link, therapies that mimic an &#x0201C;exercise-enhanced&#x0201D; gut microbiome might offer a new strategy to alleviate AD symptoms.</p>
</sec>
<sec>
<title>2.1.5.6 Sleep</title>
<p>Sleep and circadian rhythm disturbances are among the hallmark features associated with AD (<xref ref-type="bibr" rid="B333">Musiek et al., 2015</xref>). Almost all AD patients exhibit erratic sleep patterns, nocturnal staying awake, and daytime sleepiness (<xref ref-type="bibr" rid="B173">Hatfield, 2004</xref>). Notably, adults without cognitive impairment reporting a bad night&#x00027;s sleep are more likely to show signs of amyloid buildup in their brains observed by PET scans (<xref ref-type="bibr" rid="B408">Spira et al., 2013</xref>). Research has shown that A&#x003B2; levels vary with sleep-wake cycles. For example, during wakefulness, A&#x003B2; levels increase and decrease during sleep in mice, and this phenomenon is similar in humans with AD (<xref ref-type="bibr" rid="B225">Kang et al., 2009</xref>; <xref ref-type="bibr" rid="B201">Huang, 2012</xref>). Reducing A&#x003B2; plaque counts in mice elicits an improvement in sleep cycle restoration, as well as natural fluctuations in A&#x003B2; levels, thereby implying that sleep may be disturbed directly by A&#x003B2; deposition (<xref ref-type="bibr" rid="B383">Roh et al., 2012</xref>). Sleep deprivation is associated with increased brain activity, thereby leading to increased production of A&#x003B2; and subsequently worsening the already existing AD pathology (<xref ref-type="bibr" rid="B277">Lim et al., 2013</xref>). Sleep disruption changes the microbiome, as is shown in experiments where alterations in gut bacterial profiles were found in mice with circadian rhythm mutations or rats with chronic sleep deprivation (<xref ref-type="bibr" rid="B72">Chandra et al., 2023</xref>).</p>
<p>Several probiotics and prebiotics have been shown to have positive effects on sleep, which could be interpreted to mean that sleep health can be managed by supporting the MGBA (<xref ref-type="bibr" rid="B434">Thompson et al., 2020</xref>). Additionally, propionate, a known SCFA, may play a role together with other microbial metabolites, while greater levels of propionate have been correlated with promising infant sleep patterns (<xref ref-type="bibr" rid="B178">Heath et al., 2020</xref>). These empirical findings support the notion that modulating microbial communities could positively influence sleep regulation and overall health.</p>
<p>Building on these current empirical findings, future hypotheses suggest that the precise manipulation of microbial communities to boost propionate production may improve sleep patterns, decrease A&#x003B2; accumulation, and slow cognitive decline. To empirically test this future hypothesis, long-term controlled trials may need to standardize the intervention by assigning either a probiotic or prebiotic regimen aimed at propionate enhancement to subjects with mild cognitive impairment. These impending studies should incorporate objective assessments of sleep quality, utilizing polysomnography, concurrently with measurements of gut-derived metabolites, amyloid/tau biomarkers, and cognitive trajectories over time. By simultaneously targeting gut function and sleep, future research has the potential to uncover synergistic mechanisms and provide a new therapeutic strategy to slow AD progression.</p>
<p>Preclinical studies indicate that microbiota modulation via diet or probiotics can reduce neuroinflammation and amyloid burden, with some animal models showing improved cognitive outcomes. Human trials show that probiotic and dietary interventions may support GBA health, but clinical evidence remains preliminary pending further validation.</p>
</sec>
</sec>
</sec>
<sec>
<title>2.2 Parkinson&#x00027;s disease (PD)</title>
<p>PD patients show exhaustive gut microbiome dysbiosis, such as reduced Prevotella and increased Enterobacteriaceae, which can be related to GI symptoms such as constipation (<xref ref-type="bibr" rid="B172">Hashish and Salama, 2023</xref>). It seems that the direction of effect is consistently spread among studies, usually implicating early gut changes occurring prior to the manifestation of motor symptoms (<xref ref-type="bibr" rid="B5">Aho et al., 2019</xref>). The changes in the microbial metabolites, immune activation, and gut permeability constituting the pathways identified. Initial studies with probiotics, dietary modifications, and FMT have shown benefits in GI symptoms and, in some instances, motor and non-motor symptoms (<xref ref-type="bibr" rid="B145">Georgescu et al., 2016</xref>; <xref ref-type="bibr" rid="B200">Huang et al., 2019</xref>; <xref ref-type="bibr" rid="B469">Wang Q. et al., 2021</xref>). Controlled studies are ongoing, but present data do favor microbiome modulation as an adjunct therapy. Many consistent alterations in the microbiome lead toward a causative or contributory role, and early interventions of microbiota could influence the progression of the disease and the severity of its symptoms.</p>
<sec>
<title>2.2.1 Background</title>
<p>PD is the second-most common neurodegenerative disorder after AD. It acts from a lack of equilibrium between two neurotransmitters in the basal ganglia: dopamine (inhibitory) and acetylcholine (excitatory). In typical basal ganglia function, the actions of these neurotransmitters counterbalance each other to refine voluntary movement; however, in PD, the neurons producing dopamine slowly die out, causing an excess of acetylcholine to overstimulate the basal ganglia (<xref ref-type="bibr" rid="B469">Wang Q. et al., 2021</xref>). This leads to the major motor symptoms of tremor, bradykinesia, and rigidity, along with postural difficulties, which are classical for PD (<xref ref-type="bibr" rid="B347">Obeso et al., 2017</xref>). Affected individuals may show other non-motor symptoms, with some being GI-oriented and emerging years before the classical motor features (<xref ref-type="bibr" rid="B70">Cersosimo et al., 2013</xref>). Cognitive manifestations include depression, irritability, and anxiety, while GI manifestations encompass constipation, dysphagia, nausea, and prolonged intestinal transit time (<xref ref-type="bibr" rid="B368">Pfeiffer, 2003</xref>; <xref ref-type="bibr" rid="B270">Li et al., 2023</xref>). Most non-motor symptoms go unrecognized when this neurodegenerative disease begins in his prodromal form. Diagnosis and treatment usually begin after the disease shows motor symptoms. It has a complicated pathogenesis associated with environmental modifications, genetic predispositions, deregulated dopamine metabolism, neuroinflammation, oxidative stress, and mitochondrial dysfunction (<xref ref-type="bibr" rid="B149">G&#x000F6;k&#x000E7;e &#x000C7;okal et al., 2017</xref>; <xref ref-type="bibr" rid="B472">Wang T. et al., 2020</xref>). However, the leading theory behind PD pathogenesis is the accumulation of alpha-synuclein aggregates within cells, which trigger neuroinflammation and neuronal apoptosis (<xref ref-type="bibr" rid="B240">Kim et al., 2019</xref>). Gut findings of alpha-synuclein abnormalities in early-stage PD are documented in patients having PD. Imaging studies further corroborate that PD may arise from the gut and subsequently spread into the brain (<xref ref-type="bibr" rid="B190">Horsager et al., 2021</xref>, <xref ref-type="bibr" rid="B191">2022</xref>). Through the spinal cord, the brain communicates with all other body systems, including the endocrine system, which regulates body functions such as stress and mood via hormone secretion, and the immune system, which defends the body from pathogenic infection and promotes healing. These systems share signals through the vagus nerve, which carries information from the body&#x00027;s organs to the brain regions (<xref ref-type="bibr" rid="B207">Jackson et al., 2019</xref>; <xref ref-type="bibr" rid="B270">Li et al., 2023</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref>). Some epidemiological studies carried out in Denmark and Sweden have indicated that people who had undergone complete truncal vagotomies decades ago had a lower risk of developing PD later in life (<xref ref-type="bibr" rid="B421">Svensson et al., 2015</xref>; <xref ref-type="bibr" rid="B283">Liu et al., 2017</xref>). This points to the possibility of some disturbances in gut microbial position, thereby predisposing to PD.</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>The disruptions of the gut microbiota work together with the immune, endocrine, and nervous systems in PD pathogenesis as follows: <bold>(a)</bold> Disruptions of the gut microbials and their metabolites&#x00027; composition are able to induce inflammation of the gut. The metabolites can cross the compromised intestinal wall, reach the immune activation of the gut lining, stimulate pro-inflammatory cytokine secretion, and enable &#x003B1;-syn misfolding and aggregation. <bold>(b)</bold> Increased permeability of the gut wall will enable more microbial metabolites and immune signaling molecules to enter into the circulation to induce inflammation in the body. <bold>(c)</bold> The misfolded &#x003B1;-syn of the gut could then enter the brain through the vagus nerve in a cell-cell transmission-like manner that would also be reversible. <bold>(d)</bold> These pathological proteins enter the brain via BBB disruption and vagal channels, activating microglia and astrocytes and leading to neuroinflammation and dopaminergic neuronal degeneration, thus advancing PD. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0003.tif">
<alt-text>Illustration showing the connection between Parkinson&#x00027;s disease and gut microbiota. A human silhouette highlights the nervous and digestive systems. Insets detail specific pathways: (a) altered gut microbiota with increased bacteria and molecules, (b) inflammation with immune cells and cytokines, (c) circulation involving blood cells, and (d) brain effects with dopaminergic cell death and activated microglia. The image suggests how gut imbalances trigger inflammation, promoting misfolded alpha-synuclein spread to the brain, leading to neurodegeneration.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>2.2.2 Vagotomy and insights into the microbiota&#x02013;gut&#x02013;brain axis in Parkinson&#x00027;s</title>
<p>The vagus nerve is the tenth cranial nerve. It has been so named from the Latin word meaning &#x0201C;wandering,&#x0201D; because it wanders widely through the body. It originates from either side of the medulla oblongata, exits through the jugular foramen, and descends the neck, chest, and abdomen (<xref ref-type="bibr" rid="B288">Liu and Forsythe, 2021</xref>). Along the way, the vagus nerve sends off branches to innervate and regulate almost all the visceral organs. Functionally, it is vital for the control of immune responses via neural signaling. Containing both motor and sensory fibers, the vagus nerve is also the main afferent pathway from the abdominal organs, lungs, liver, stomach, pancreas, and intestines to the brain. Sensory information from the abdominal organs traverses the vagus nerve to the nucleus of the solitary tract in the brainstem, with projections to several other areas of the CNS, including the cerebral cortex and medulla oblongata (<xref ref-type="bibr" rid="B288">Liu and Forsythe, 2021</xref>). At present, vagotomy is considered only for those patients who are resistant to pharmacological treatment or who are severely ill with complications, such as perforations or gastric outlet obstruction. In the past, it has also been employed in the treatment of biliary dyskinesia and chronic abdominal pain in neurological conditions (<xref ref-type="bibr" rid="B92">Crile, 1951</xref>; <xref ref-type="bibr" rid="B288">Liu and Forsythe, 2021</xref>).</p>
<p>In PD, the spread of the pathological alpha-synuclein from the gut to the brain is mediated along the vagus nerve. There are two major forms of vagotomy: truncal vagotomy, which severs all connections, and selective vagotomy, which maintains intestinal innervation (<xref ref-type="bibr" rid="B469">Wang Q. et al., 2021</xref>). Studies have noted that vagotomy can inhibit the misfolding of alpha-synuclein in enteric neurons and reduce the appearance of PD symptoms in animal models (<xref ref-type="bibr" rid="B443">Uemura et al., 2018</xref>; <xref ref-type="bibr" rid="B240">Kim et al., 2019</xref>).</p>
<p>The total vagotomy can be beneficial in reducing the chances of developing secondary PD, according to a cohort study done in Denmark (<xref ref-type="bibr" rid="B421">Svensson et al., 2015</xref>). On the other hand, there is a separate study in Sweden that has followed patients after vagotomy and pointed out no relation between vagotomy and PD risk (<xref ref-type="bibr" rid="B283">Liu et al., 2017</xref>). However, 5 years of follow-up indicated that within that period, after vagotomy, there is a reduced risk of PD, and very similar results were obtained in the 10-year follow-up. These findings provoke interesting primary questions as to the possible origins of PD-associated alpha-synuclein misfolding from within autonomic nerve fibers of the gut.</p>
<p>Selective or highly selective vagotomy may permit &#x003B1;-synuclein pathology from elsewhere in the GI tract to still reach the vagus nerve and, thereafter, the brainstem. Vagotomy in animal studies is said to disrupt the transfer of &#x003B1;-synuclein derived from the gut to the CNS, but human observational evidence is inconsistent, with some studies indicating no change in PD incidence and others suggesting a reduced risk following truncal vagotomy (<xref ref-type="bibr" rid="B124">Elfil et al., 2020</xref>). Currently, there is too immature an understanding of PD pathophysiology to make vagotomy a potential treatment method, and clarification through research is needed regarding the vagotomy-PD relationship. Therefore, no clinical role for vagotomy exists at present.</p>
</sec>
<sec>
<title>2.2.3 Duration of disease, motor symptoms, non-motor symptoms, and associated microbiota</title>
<p>The composition of gut microbiota might vary whether PD has an early or late onset. In a study, Pasteurellaceae, Alcaligenaceae, and Fusobacteria were more common in early prodromal PD stages vs. <italic>Comamonas</italic> and <italic>Anaerotruncus</italic>, which were commonly detected in late-onset PD cases (<xref ref-type="bibr" rid="B278">Lin et al., 2018</xref>). Some gut pathogens, such as <italic>Aquabacterium, Peptococcus</italic>, and <italic>Sphingomonas</italic>, have been associated with motor complications in PD (<xref ref-type="bibr" rid="B375">Qian et al., 2018</xref>).</p>
<p><xref ref-type="bibr" rid="B476">Weis et al. (2019)</xref> examined the impact of PD medications (levodopa and entacapone) on gut microbiota, finding marked changes in <italic>Peptoniphilus, Finegoldia, Faecalibacterium, Fusicatenibacter, Anaerococcus, Bifidobacterium, Enterococcus</italic>, and <italic>Ruminococcus</italic>. For other drugs such as MAO inhibitors, amantadine, and dopamine agonists, no indication was found for an effect on taxa abundance or microbial functions (<xref ref-type="bibr" rid="B189">Horsager et al., 2020</xref>). <xref ref-type="bibr" rid="B355">Palacios et al. (2021)</xref> reported lower <italic>Clostridium</italic> group IV in PD as well as no strongly associated taxa with levodopa (L-DOPA) use, although preliminary data suggest <italic>Clostridium</italic> cluster IV may be linked to short-term motor-symptom response to L-DOPA, which deserves a thorough controlled validation. Other studies have shown that the other PD drugs acted independently to shape different microbial profiles, which strengthens the rationale for disentangling drug effects from disease signatures (<xref ref-type="bibr" rid="B172">Hashish and Salama, 2023</xref>).</p>
<p><xref ref-type="bibr" rid="B5">Aho et al. (2019)</xref> distinguished PD patients who are stable and those with rapid progression, with inconsistent taxa throughout methods and times but uniquely exiting enterotypes, accompanied by a decline in <italic>Prevotella</italic> for the rapid-progression cases. Group differences between PD and controls stayed after the removal of confounds such as deep-brain stimulation (DBS), but differed across studies. In general, replications of the PD-microbiome instances are often poorly developed, presumably as a result of confounding by usage of medication, geographical differences, sequencing methods, and analytical pipelines. Nevertheless, some microbial changes were reported consistently: decrease in Prevotellaceae, <italic>Prevotella</italic>, and <italic>P. copri</italic> (<xref ref-type="bibr" rid="B391">Scheperjans et al., 2015</xref>; <xref ref-type="bibr" rid="B446">Unger et al., 2016</xref>; <xref ref-type="bibr" rid="B188">Hopfner et al., 2017</xref>), and increase in <italic>Akkermansia</italic>/Verrucomicrobiaceae (<xref ref-type="bibr" rid="B234">Keshavarzian et al., 2015</xref>; <xref ref-type="bibr" rid="B181">Heintz-Buschart et al., 2018</xref>; <xref ref-type="bibr" rid="B278">Lin et al., 2018</xref>).</p>
<p>The most important GI symptom is constipation, which impacts almost 60% of people suffering with PD (<xref ref-type="bibr" rid="B362">Pavan et al., 2022</xref>). Research indicates that the severity of PD-related constipation helps diagnose the PD stage, with 67% sensitivity and 90% specificity (<xref ref-type="bibr" rid="B172">Hashish and Salama, 2023</xref>). References state that the dysbiosis is likely to be responsible for early stage PD GI-related problems, including constipation, with a notable increase in bacterial families that include Lactobacillaceae, Verrucomicrobiaceae, Bradyrhizobiaceae, <italic>Bifidobacterium</italic>, and <italic>Akkermansia</italic> (<xref ref-type="bibr" rid="B24">Baldini et al., 2020</xref>; <xref ref-type="bibr" rid="B172">Hashish and Salama, 2023</xref>). Among these groups, through greater severity of constipation, longer transit times, and harder stool, <italic>Akkermansia</italic> has been related to constipation (<xref ref-type="bibr" rid="B297">Lubomski et al., 2022b</xref>; <xref ref-type="bibr" rid="B172">Hashish and Salama, 2023</xref>). Patients suffering from PD and characterized by slowed transit of the intestine may consequently need to receive higher amounts of L-DOPA (<xref ref-type="bibr" rid="B134">Fasano et al., 2013</xref>; <xref ref-type="bibr" rid="B476">Weis et al., 2019</xref>). Such patients lack in terms of absorption of medicines, thus translating into efficacy problems because of the delays in transit. Constipation may also predispose bacteria to reach excessive populations, particularly <italic>Lactobacillus</italic> species that can execute tyrosine decarboxylation, L-DOPA by converting it into dopamine in the gut hence limiting its release into the bloodstream and causing motor fluctuations (<xref ref-type="bibr" rid="B317">Menozzi and Schapira, 2024</xref>). More doses of L-DOPA combined with decarboxylase inhibitors have to be repeated under this scenario, thus denoting a complicated interaction of PD medications with GI tract-related symptoms.</p>
<p>Most people who suffer from PD, may have experienced either the condition of small intestinal bacterial overgrowth (SIBO) or colonization by <italic>Helicobacter pylori</italic> (<italic>H. pylori</italic>; <xref ref-type="bibr" rid="B141">Gabrielli et al., 2011</xref>; <xref ref-type="bibr" rid="B135">Felice et al., 2016</xref>). SIBO could lead to symptoms like bloating, excessive gas, or impaired absorption of nutrients. A relationship between PD and SIBO was first established in 2021 by the symptom of constipation, indicating that aggravation in the severity of constipation might correlate with an increased risk for SIBO (<xref ref-type="bibr" rid="B97">D&#x00103;n&#x00103;u et al</xref>., <xref ref-type="bibr" rid="B97">2021</xref>). Relief from SIBO not only alleviates the GI discomfort, but it also helps in the amelioration of the motor fluctuations experienced by PD patients (<xref ref-type="bibr" rid="B141">Gabrielli et al., 2011</xref>; <xref ref-type="bibr" rid="B134">Fasano et al., 2013</xref>). Patients with PD and comorbid SIBO&#x02014;as opposed to those without it&#x02014;showed more severe dyskinesia which included prolonged rest time, delayed on-time and off-time. Another proof of this was that motor fluctuations in PD patients improved after SIBO eradication, hence providing more support of the association between SIBO and motor fluctuations (<xref ref-type="bibr" rid="B295">Lubomski et al., 2020</xref>). Interestingly, studies show multiple symptoms of PD improve with <italic>H. pylori</italic> antibiotic therapy due to increased absorption and bioavailability of L-DOPA (<xref ref-type="bibr" rid="B369">Pierantozzi et al., 2001</xref>). A trial, double-blind, placebo-controlled study pronounced that motor symptoms do improve from hypokinesia over the year since the eradication of <italic>H. pylori</italic> but worsen from flexor rigidity (<xref ref-type="bibr" rid="B112">Dobbs et al., 2010</xref>). Although the mechanisms remain unknown, researchers present their theory claiming that the thickening rigidity coexists with SIBO because of overgrowth by certain bacterial strains already present (<xref ref-type="bibr" rid="B135">Felice et al., 2016</xref>). The increasing evidence that altered gut microbiota correlate with non-motor features of PD rests on the premise of the need for more evidence to be generated for possible therapeutic strategies to be unveiled.</p>
</sec>
<sec>
<title>2.2.4 Interactions between the gut microbiome and device-assisted therapies</title>
<p>Evidence consistently points toward the role of gut microbiota in the persistent interaction upon L-DOPA treatment response. It has been seen that the efficacy of L-DOPA in antibiotic therapy was improved as gut microorganism influences drug metabolism and action (<xref ref-type="bibr" rid="B171">Hashim et al., 2014</xref>; <xref ref-type="bibr" rid="B172">Hashish and Salama, 2023</xref>; <xref ref-type="bibr" rid="B185">Hey et al., 2023</xref>). As one of the most important dopamine-replacement therapies for PD, L-DOPA is commonly given with carbidopa to improve bioavailability and avoid early conversion into dopamine before penetration into the brain (<xref ref-type="bibr" rid="B143">Gandhi and Saadabadi, 2025</xref>). Thus, an increasing amount of evidence suggested that the gut microbiome has taken a rather complex interest in influencing the response of the body to L-DOPA treatment. Such studies have shown that antibiotic administration might increase the effectiveness of L-DOPA therapy, indicating that gut microorganisms affect metabolism and the effectiveness of the drug (<xref ref-type="bibr" rid="B171">Hashim et al., 2014</xref>). Another important fact is that this L-DOPA is co-administered with carbidopa, another important dopamine-replacement therapy for PD, aiming to increase the bioavailability of the substance and prevent early conversion into dopamine prior to entering the brain (<xref ref-type="bibr" rid="B143">Gandhi and Saadabadi, 2025</xref>).</p>
<p>The research by <xref ref-type="bibr" rid="B297">Lubomski et al. (2022b)</xref> looked at how the administration of levodopa-carbidopa intestinal gel (LCIG) has effects on the gut microbiome in PD. The LCIG treatment involves a continuous infusion of a carboxymethylcellulose aqueous gel directly into the proximal jejunum via a percutaneous gastrojejunostomy tube, with delivery by a portable infusion pump (<xref ref-type="bibr" rid="B351">Olanow et al., 2014</xref>). When assessing alpha diversity (the diversity and evenness of microbial species within a single sample, representative of microbial richness and community balance), they found no marked changes attributable to LCIG. The LCIG application caused changes in the beta diversity (which assesses the differences in microbial community composition between samples, indicating how similar or dissimilar microbial communities are across individuals or time points). Changes in beta diversity reveal that while overall species richness and evenness among the individuals were stable, LCIG can redistribute the abundance of different taxa, thereby altering cohabitation structure and interrelations among microbial species. This pattern holds biological significance in PD in that it suggests that disease- or treatment-related effects may exert selective pressure on the microbial network in the gut without necessarily lowering the overall number of microbial species present, thereby exerting an influence on GBA signaling and L-DOPA metabolism. The acidic condition of LCIG may alter the chemical situation in the gut, which, finally, leads to hypergrowth of <italic>Escherichia/shigella</italic>, being acid-tolerant bacteria (<xref ref-type="bibr" rid="B297">Lubomski et al., 2022b</xref>). This observation of microbial shift may contribute to the excessive gut inflammation. Research is scarce on the effect of LCIG on the gut microbiota in PD individuals, and more studies are needed to substantiate findings on gut homeostasis.</p>
<p>Previously reported changes in the abundance of this family Prevotellaceae in advanced PD seem to have been expanded upon by Bedarf and associates, who have shown a dramatic decrease in the numbers of <italic>Prevotella copri</italic> in patients with early-stage PD (<xref ref-type="bibr" rid="B35">Bedarf et al., 2017</xref>). Since these species of <italic>Prevotella</italic> produce SCFAs like butyrate, their decrease may affect intestinal barrier function and immune health and thus be involved in the pathogenesis of PD (<xref ref-type="bibr" rid="B185">Hey et al., 2023</xref>). Notably, neither MAO inhibitors nor dopamine agonists appear to affect the composition and function of gut microbiota (<xref ref-type="bibr" rid="B35">Bedarf et al., 2017</xref>). However, emerging data suggest that different PD therapies exert differential effects on gut microbiota, as shown in <xref ref-type="table" rid="T4">Table 4</xref>. Since PD patients are frequently on multiple therapies, it will be important for future studies to determine the independent effect of these therapies on the gut microbiome and their potential roles in the progression and management of the disease.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Overview of studies investigating the effect of DBS and LCIG activation on the composition of the GM.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>References</bold></th>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="left"><bold>Sample size</bold></th>
<th valign="top" align="left"><bold>Results</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3"><xref ref-type="bibr" rid="B297">Lubomski et al. (2022b)</xref></td>
<td valign="top" align="left" rowspan="3">4 weeks DBS</td>
<td valign="top" align="left" rowspan="3">PD: 21<break/> DBS: 10<break/> LCIG: 11<break/> HC: 10</td>
<td valign="top" align="left">Notable differences in alpha and beta diversity relative to LCIG therapy</td>
</tr>
<tr>
<td valign="top" align="left">Excess <italic>ParaBacteroides</italic> and <italic>Clostridium</italic> may aid post-surgical healing by reducing inflammation</td>
</tr>
<tr>
<td valign="top" align="left">Elevated <italic>Escherichia/Shigella</italic> levels may be due to LCIG&#x00027;s acidic properties</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B296">Lubomski et al. (2022a)</xref></td>
<td valign="top" align="left">12 months DBS</td>
<td valign="top" align="left">PD: 74<break/> DBS: 9<break/> LCIG: 10<break/> HC: 74</td>
<td valign="top" align="left">Increased microbial diversity may result from time-dependent GM changes after DBS and/or LCIG</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"><xref ref-type="bibr" rid="B315">Melis et al. (2021)</xref></td>
<td valign="top" align="left">LCIG</td>
<td valign="top" align="left">PD: 107<break/> LCIG: 38<break/> Na&#x000EF;ve group: 23</td>
<td valign="top" align="left">LCIG therapy increases Enterobacteriaceae, <italic>Escherichia</italic>, and <italic>Serratia</italic> more than levodopa alone</td>
</tr>
<tr>
<td valign="top" align="left">Higher Enterobacteriaceae levels after LCIG may contribute to gut inflammation</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>2.2.5 Gut microbiota-based therapeutic interventions</title>
<sec>
<title>2.2.5.1 Probiotics</title>
<p>The results of human clinical trials (see <xref ref-type="table" rid="T5">Table 5</xref>) suggest that probiotics may be beneficial as a supportive therapy for PD. <italic>Lactobacillus casei</italic> Shirota is found in milk, which, in one randomized clinical trial, relieved abdominal discomfort while improving stool consistency and bowel movements. The improvement of gut health in patients suffering from PD may be attributable to other probiotic strains, including <italic>Lactobacillus acidophilus</italic> and <italic>Bifidobacterium infantis</italic> (<xref ref-type="bibr" rid="B145">Georgescu et al., 2016</xref>). More recently, another randomized clinical trial demonstrated that co-administering Probio-M8 (<italic>Bifidobacterium animalis</italic> subsp. <italic>lactis</italic> Probio-M8) with dopamine agonists improved non-motor symptoms such as cognitive function, bowel regularity, and overall gut health (<xref ref-type="bibr" rid="B416">Sun et al., 2021</xref>). Their findings match existing clinical data, supporting the notion that probiotics can influence the MGBA, perhaps as a complementary method of intervention against the advancing PD phenotypes.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Probiotics may offer supportive therapeutic benefits for Parkinson&#x00027;s disease (PD), as suggested by findings from human clinical trials.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>References</bold></th>
<th valign="top" align="left"><bold>Study subjects</bold></th>
<th valign="top" align="left"><bold>Probiotic</bold></th>
<th valign="top" align="left"><bold>Prebiotic</bold></th>
<th valign="top" align="left"><bold>Duration</bold></th>
<th valign="top" align="left"><bold>Results</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B66">Cassani et al. (2011)</xref></td>
<td valign="top" align="left">40 PD patients</td>
<td valign="top" align="left"><italic>Lactobacillus casei Shirota</italic></td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">5 weeks</td>
<td valign="top" align="left">Improved stool consistency, and reduction in abdominal pain, while other motor-symptoms were not tested</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B145">Georgescu et al. (2016)</xref></td>
<td valign="top" align="left">40 PD patients</td>
<td valign="top" align="left"><italic>Lactobacillus acidophilus</italic> and <italic>Bifidobacterium infantis</italic></td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">Improved abdominal pain and bloating, no changes in constipation, while other motor-symptoms were not tested</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B48">Borzabadi et al. (2018)</xref></td>
<td valign="top" align="left">50 PD patients</td>
<td valign="top" align="left"><italic>Lactobacillus acidophilus, Bifidobacterium bifidum, L. reuteri</italic>, and <italic>L. fermentum</italic></td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">Improved markers of inflammation, while constipation and motor symptoms were not tested</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B422">Tamtaji et al. (2019)</xref></td>
<td valign="top" align="left">60 PD patients</td>
<td valign="top" align="left"><italic>Lactobacillus acidophilus, Bifidobacterium bifidum, L. reuteri</italic>, and <italic>L. fermentum</italic></td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">Improved motor symptoms, and insulin-related measures, while constipation was not tested</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B205">Ibrahim et al. (2020)</xref></td>
<td valign="top" align="left">48 PD patients</td>
<td valign="top" align="left">The multi-strain probiotic Hexbio consists of <italic>Lactobacillus acidophilus, L. casei, L. lactis, Bifidobacterium infantis</italic>, and <italic>B. longum</italic></td>
<td valign="top" align="left">Yes (FOS)</td>
<td valign="top" align="left">8 weeks</td>
<td valign="top" align="left">Improved constipation and gut motility, while no changes found in motor symptoms</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B423">Tan et al. (2021)</xref></td>
<td valign="top" align="left">72 PD patients</td>
<td valign="top" align="left"><italic>Lactobacillus acidophilus, L. reuteri, L. gasseri, L. rhamnosus, Bifidobacterium bifidum, B. longum, Enterococcus faecalis</italic>, and <italic>E. faecium</italic></td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">4 weeks</td>
<td valign="top" align="left">Improved constipation, while motor symptoms were not tested</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B416">Sun et al. (2021)</xref></td>
<td valign="top" align="left">82 PD patients</td>
<td valign="top" align="left"><italic>Bifidobacterium animalis</italic> subsp. <italic>lactis</italic> Probio-M8</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">Improved constipation, motor symptoms, and cognitive functions, and increased serum acetate and dopamine</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>2.2.5.2 Prebiotics</title>
<p>Prebiotics could be helpful in the management of PD, even if only limited studies have been done on human PD patients to find out how prebiotic supplementation affects them (<xref ref-type="table" rid="T5">Table 5</xref>). According to a study conducted recently by <xref ref-type="bibr" rid="B290">Liu et al. (2022)</xref> it was identified that polymannuronic acid, when given as a prebiotic, might protect dopaminergic neurons from SCFA-mediated anti-inflammatory and anti-apoptotic pathways. A more recent study showed that butyrate levels in PD patients increased due to the production of SCFA after being treated orally with resistant starch, along with improvements in non-motor symptoms (<xref ref-type="bibr" rid="B34">Becker et al., 2022</xref>). More human trials are essential for a full understanding of the long-term impact of prebiotics in PD pathologies.</p>
</sec>
<sec>
<title>2.2.5.3 FMT</title>
<p><xref ref-type="bibr" rid="B387">Sampson et al. (2016)</xref> were the first to demonstrate that transplanting fecal matter from PD patients into mice genetically engineered to overexpress alpha-synuclein significantly worsened their motor symptoms compared to mice receiving transplants from healthy human donors. In one event where a 71-year-old PD subject was subjected to FMT, improvement in bowel regularity was noted, and tremors disappeared for 2 months after the process (<xref ref-type="bibr" rid="B200">Huang et al., 2019</xref>). Reduced striatal dopamine, serotonin levels, and their metabolites were also reported. On the contrary, studies have proven that the fecal microbiota transferred from healthy donors into PD-model mice mitigates their motor impairments and their gut microbiota changes, which were shown by <xref ref-type="bibr" rid="B512">Zhang et al. (2021d)</xref> and <xref ref-type="bibr" rid="B515">Zhao et al. (2021)</xref>.</p>
<p>Various studies have positively linked the use of FMT with a healthy gut microbiome through a decrease in pathogenic microbes like <italic>Desulfovibrio, Akkermansia</italic>, and Proteobacteria and an increase in beneficial groups like Bacteroidetes and Actinobacteria, especially including <italic>Blautia</italic> and <italic>Prevotella</italic> species (<xref ref-type="bibr" rid="B416">Sun et al., 2021</xref>). Beyond the gut, FMT provides many improvements in the brain, including reversing cognitive decline, neuroprotective mechanisms by reducing alpha-synuclein accumulation, and restoring striatal levels of dopamine and serotonin (<xref ref-type="bibr" rid="B172">Hashish and Salama, 2023</xref>).</p>
<p>Improvement in bowel function and reduction of tremor has been reported (<xref ref-type="bibr" rid="B200">Huang et al., 2019</xref>) but such studies are tentative and do not prove efficacy. The use of FMT in routine care of patients with Parkinson&#x00027;s cannot be recommended at this stage.</p>
<p>Animal models show microbiota changes prior to motor symptoms, and probiotic interventions have improved GI and non-motor symptoms in clinical trials. Different PD therapies may influence gut microbiota composition, emphasizing the need to clarify therapy-specific effects.</p>
</sec>
</sec>
</sec>
<sec>
<title>2.3 Amyotrophic lateral sclerosis (ALS)</title>
<p>Recent human studies demonstrate that ALS patients have gut dysbiosis, defined primarily by decreased microbial diversity, such as lower populations of beneficial bacteria like <italic>Faecalibacterium</italic>, and increased levels of potentially harmful species like <italic>E. coli</italic> (<xref ref-type="bibr" rid="B51">Brenner et al., 2018</xref>). These changes are associated with increased systemic inflammation markers, and some investigations have made correlations of microbial imbalance with faster disease progression (<xref ref-type="bibr" rid="B348">Obrenovich et al., 2020</xref>). However, the evidence for causality remains limited, and the findings across studies have rather conflicting outcomes. Still, gut microbiota profiles may be considered as biomarkers or therapeutic targets.</p>
<sec>
<title>2.3.1 Background</title>
<p>ALS is a serious and progressive disease that damages both the upper and lower motor neurons, which are the nerve cells that control voluntary muscle movement. It usually begins between the ages of 50 and 70 and is slightly more common in men than women, with a male-to-female ratio of about 1.5&#x02013;1 (<xref ref-type="bibr" rid="B81">Chi&#x000F2; et al., 2013</xref>). Worldwide, ALS affects about 1&#x02013;2.6 people out of every 100,000 each year, and at any given time, around 4&#x02013;8 out of every 100,000 people, especially those of Caucasian descent are living with the disease (<xref ref-type="bibr" rid="B9">Al-Chalabi and Hardiman, 2013</xref>; <xref ref-type="bibr" rid="B81">Chi&#x000F2; et al., 2013</xref>). Roughly 90% of ALS cases happen without a family history (sporadic ALS), while the remaining 10% are inherited (familial ALS). More than 50 genes have been linked to ALS, with the most common being C9ORF72, which causes up to 50% of inherited cases and 5&#x02013;10% of sporadic ones. Other key genes include SOD1, TARDBP (which codes for TDP-43), and FUS (<xref ref-type="bibr" rid="B379">Renton et al., 2011</xref>). Interestingly, ALS and frontotemporal dementia (FTD) are closely related conditions and often share both genetic and disease mechanisms, especially in people with C9ORF72 mutations suggesting they may be part of the same disease spectrum (<xref ref-type="bibr" rid="B360">Parobkova and Matej, 2021</xref>). In addition to genetics, certain environmental exposures may increase the risk of developing ALS. These include smoking, military service, pesticide exposure, and heavy metals, with smoking raising the risk by about 40% (<xref ref-type="bibr" rid="B9">Al-Chalabi and Hardiman, 2013</xref>).</p>
</sec>
<sec>
<title>2.3.2 Clinical presentation and diagnostic challenges</title>
<p>ALS can look very different from person to person in how it begins and how quickly it progresses. In about 70% of people, the first symptoms appear in the limbs usually starting with hand weakness (60%) or leg weakness (40%). Around 30% of patients start with bulbar symptoms, which affect the muscles used for speaking and swallowing, leading to problems like slurred speech (dysarthria), trouble swallowing (dysphagia), and twitching of the tongue muscles (<xref ref-type="bibr" rid="B81">Chi&#x000F2; et al., 2013</xref>). A small number (less than 5%) have respiratory-onset ALS, where breathing muscles weaken early, and these cases tend to be more severe.</p>
<p>The disease usually begins in one part of the body and spreads gradually, leading to increasing muscle weakness. On average, there&#x00027;s a delay of 10&#x02013;16 months between the first symptoms and the official diagnosis (<xref ref-type="bibr" rid="B451">van den Bos et al., 2019</xref>). Once diagnosed, median survival is between 2 and 5 years, although patients with bulbar-onset ALS tend to decline more quickly.</p>
<p>ALS is mostly diagnosed based on clinical signs, using the revised El Escorial criteria, which require signs of both upper motor neuron (e.g., spasticity, brisk reflexes) and lower motor neuron damage (e.g., muscle wasting, twitching) in multiple body regions (<xref ref-type="bibr" rid="B53">Brotman et al., 2025</xref>). Electromyography (EMG) tests are crucial to show nerve damage and muscle denervation, while nerve conduction studies are used to rule out other diseases. MRI scans are also done to make sure there isn&#x00027;t another condition, such as a structural issue in the brain or spine (<xref ref-type="bibr" rid="B249">Kwan and Vullaganti, 2022</xref>). Despite all this, about 10&#x02013;15% of ALS cases are initially misdiagnosed. Conditions that are often mistaken for ALS include multifocal motor neuropathy, cervical spine disorders, and inclusion body myositis (<xref ref-type="bibr" rid="B249">Kwan and Vullaganti, 2022</xref>).</p>
</sec>
<sec>
<title>2.3.3 Molecular pathogenesis and disease mechanisms</title>
<p>The development of ALS is driven by several overlapping biological mechanisms that together cause motor neuron degeneration. One key process is glutamate excitotoxicity, where a buildup of glutamate at the synapse due to reduced function of the transporter EAAT2 (also known as GLT-1) leads to overstimulation of N-methyl-D-aspartate (NMDA) receptors. This causes excessive calcium to enter neurons, damaging mitochondria and triggering cell death (<xref ref-type="bibr" rid="B16">Arnold et al., 2024</xref>). Another central feature is the loss of protein balance, especially involving TDP-43, a protein that is abnormally located in the cytoplasm instead of the nucleus in about 97% of ALS cases. In this mislocated state, TDP-43 forms toxic clumps that interfere with RNA processing and disrupt essential cellular functions (<xref ref-type="bibr" rid="B371">Prasad et al., 2019</xref>). In patients with mutations in the C9ORF72 gene, the production of harmful dipeptide repeat proteins further disrupts communication between the nucleus and cytoplasm, impairing cell function. Neuroinflammation also plays a major role, with microglial cells releasing inflammatory molecules such as TNF-&#x003B1;, IL-6, and IL-1&#x003B2;, along with ROS, all of which intensify neuronal damage (<xref ref-type="bibr" rid="B282">Liu and Wang, 2017</xref>). In addition, astrocytes, which normally support neurons, become dysfunctional through a process called astrogliosis, which worsens glutamate imbalance and reduces neuronal support (<xref ref-type="bibr" rid="B44">Boill&#x000E9;e et al., 2006</xref>). Other contributors include faulty axonal transport, resulting in buildup of neurofilaments and synaptic breakdown (<xref ref-type="bibr" rid="B428">Taylor et al., 2016</xref>), and genetic mutations&#x02014;such as SOD1 (causing harmful protein accumulation), FUS (interfering with RNA handling), and TBK1 or OPTN (which impair the cell&#x00027;s waste disposal system known as autophagy; <xref ref-type="bibr" rid="B151">Goutman et al., 2022</xref>; <xref ref-type="fig" rid="F4">Figure 4</xref>). Together, these processes create a toxic environment that progressively destroys motor neurons in ALS.</p>
<fig position="float" id="F4">
<label>Figure 4</label>
<caption><p><bold>(A)</bold> ALS starts in the neuromuscular system, composed of normal neurons and muscle fibers. <bold>(B)</bold> Progression of the disease includes neuronal hyperexcitability, glial dysfunction, and neurodegeneration of the lower motor neuron generated by several gene mutations (i.e., SOD1, C9orf72, FUS, OPTN). <bold>(C)</bold> Other contributory causes include defective RNA processing, protein misfolding, mitochondrial dysfunction, ER stress, and inflammation, mostly dependent on environmental and genetic factors, and perhaps gut-derived cytokines. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0004.tif">
<alt-text>Diagram illustrating various factors affecting motor neurons and muscle health. Section A shows a healthy person with muscle and neuron details, including nuclei, axons, and neuromuscular junctions. Section B highlights motor neuron dysfunction, showing interactions between astrocytes, microglia, and oligodendrocytes, along with issues like hyperexcitability and glial dysfunction labeled with associated genes such as SOD1. Section C depicts inflammatory cytokines and LPS in the gut. The bottom panel describes cellular processes affected by mutations, including impaired DNA repair, aberrant RNA metabolism, oxidative stress, and mitochondrial dysfunction.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>2.3.4 The gut microbiome in ALS pathogenesis</title>
<p>Recent studies have shown that the gut microbiome, the community of bacteria living in our digestive system may play an important role in the development and progression of ALS. People with ALS often have an imbalance in their gut bacteria, known as dysbiosis, with fewer helpful bacteria like <italic>Faecalibacterium</italic> prausnitzii and Bifidobacterium, and more potentially harmful ones such as <italic>E. coli</italic> and Dorea species (<xref ref-type="bibr" rid="B51">Brenner et al., 2018</xref>). This imbalance may speed up the disease in several ways. For example, reduced levels of SCFAs (like butyrate, which is normally made by good bacteria) can weaken the BBB, making the brain more vulnerable to harmful substances. At the same time, increased levels of inflammatory molecules, such as LPS from harmful bacteria, can lead to systemic-wide inflammation (<xref ref-type="bibr" rid="B348">Obrenovich et al., 2020</xref>). The gut microbiome also affects the immune system, with ALS patients showing increased Th17 immune cells and higher levels of IL-17, an inflammatory cytokine that may worsen the disease (<xref ref-type="bibr" rid="B503">Zang et al., 2023</xref>). Together, these findings support a strong connection between gut health and brain health in ALS.</p>
</sec>
<sec>
<title>2.3.5 Gut microbiota-based therapeutic interventions</title>
<sec>
<title>2.3.5.1 FMT</title>
<p>There is growing interest in using FMT as a possible treatment for ALS, based on encouraging early research. In one recent case report, an ALS patient showed clinical improvement after receiving FMT, with better scores on the ALS Functional Rating Scale and lower levels of inflammation-related markers like CRP and IL-6 (<xref ref-type="bibr" rid="B492">Yan et al., 2024</xref>). It is important to emphasize that evidence from these early reports is limited, and the efficacy and safety of FMT for ALS have not yet been established. Additionally, an ongoing clinical study known as the FETR-ALS trial (a phase II randomized controlled trial) has reported that around 40% of participants experienced a slowing or stabilization of their disease following FMT. Thus far, preliminary clinical observations, mostly from case reports and Phase II studies, seem to indicate that FMT causes changes in gut microbiota composition and inflammatory markers in ALS. However, these are merely early signals, and robust finding regarding efficacy cannot be made until the results of larger randomized controlled trials with determining endpoints come about. Mechanistically, alterations in gut microbial metabolites such as SCFAs could affect the integrity of the BBB, induce systemic endotoxemia, and activate microglia so as to impact disease progression; further studies are required to clarify these pathways. These mechanistic perspectives provide potential explanations for some of the clinical improvements seen and illustrate the various pathways through which FMT might exert its effects on disease processes. Scientists believe that these benefits may be due to several effects of FMT, including the restoration of healthy gut bacteria such as <italic>Faecalibacterium prausnitzii</italic>, improved gut barrier function, and reduced brain inflammation by calming overactive microglial cells in the CNS (<xref ref-type="bibr" rid="B342">Niccolai et al., 2024</xref>). Despite these promising early findings, there is insufficient evidence to support the inclusion of FMT in standard ALS treatment.</p>
</sec>
<sec>
<title>2.3.5.2 Dietary interventions</title>
<p>Nutrition plays a vital role in the care of ALS patients because the disease causes major metabolic challenges. As ALS progresses, over 80% of patients develop difficulty swallowing (dysphagia), and many also experience increased metabolism, which raises their calorie needs by about 15&#x02013;20% more normal (<xref ref-type="bibr" rid="B121">Dupuis and Chio, 2023</xref>). Losing more than 10% of body weight is linked to a worse outcome, making early and aggressive nutritional support essential. Experts recommend high-calorie diets (around 35&#x02013;40 kcal per kilogram of body weight per day), often with a high-fat content, which might offer some protective effects on nerve cells (<xref ref-type="bibr" rid="B157">Guillemin et al., 2022</xref>). Ketogenic diets which are low in carbs and high in fats have shown potential benefits in small studies, possibly by lowering oxidative stress and improving energy use in cells. However, more research is needed. For patients who can&#x00027;t eat enough due to swallowing or breathing problems, a feeding tube (PEG tube) is usually advised while their lung function is still fairly good (when their forced vital capacity is above 50%). Studies suggest that using a PEG tube at the right time may extend life by 3&#x02013;6 months (<xref ref-type="bibr" rid="B157">Guillemin et al., 2022</xref>). Even with these strategies, it can still be difficult to ensure ALS patients get enough nutrition, especially as their condition worsens and metabolism continues to change.</p>
<p>Preclinical models indicate microbiota manipulation could modulate inflammation, but human data are scarce. Interventions targeting microbiota are a prospective avenue for slowing disease progression.</p>
</sec>
</sec>
</sec>
<sec>
<title>2.4 Multiple sclerosis (MS)</title>
<p>Gut dysbiosis is seen in MS patients as marked by decreased microbial diversity and shifts among specific taxa, like increased <italic>Akkermansia</italic> and reduced SCFA-producers (<xref ref-type="bibr" rid="B210">Jangi et al., 2016</xref>). The changes are rather inconsistent but trend toward correlation with disease activity and relapse risk (<xref ref-type="bibr" rid="B439">Tremlett et al., 2016</xref>). Regulation on the responses of the immune system is the way through which gut microbiota influence MS. It also modulates the permeability of gut which may facilitate neuroinflammation. The approaches of FMT and probiotics are in their early stages; some case reports and preliminary studies indicate promise in reducing inflammation and relapse rates (<xref ref-type="bibr" rid="B47">Borody et al., 2014</xref>; <xref ref-type="bibr" rid="B254">Lavasani et al., 2010</xref>). There are clinical trials ongoing to evaluate the efficacy of microbiota-targeted therapies. Evidence supports the role of dysbiosis in MS, particularly on immune regulatory pathways; interventions to restore microbiota are promising but require more definitive trials.</p>
<sec>
<title>2.4.1 Background</title>
<p>MS is an autoimmune disease of the CNS, whose hallmark is the demyelination and consequent damage to the demyelinated axons. Demyelination causes a multitude of neurological symptoms, including loss of coordination of movement, ataxia, visual impairments, psychiatric abnormalities such as depression, and cognitive decline (<xref ref-type="bibr" rid="B372">Preiningerova et al., 2022</xref>). MS likely results from a combination of genetic and environmental factors (<xref ref-type="bibr" rid="B372">Preiningerova et al., 2022</xref>). It is normally diagnosed based on clinical symptomatology complemented by MRI with lesions of various stages, combined with biomarkers of immunologic activity in CSF, namely oligoclonal bands and elevated IgG index (<xref ref-type="bibr" rid="B433">Thompson et al., 2018</xref>). The experimental autoimmune encephalomyelitis (EAE) animal model of MS has proven the pathogenic function of myelin-reactive T cells in MS pathogenesis (<xref ref-type="bibr" rid="B250">Laaker et al., 2021</xref>). The triggers of activating self-reactive clones are still to be determined, but may be common infections, molecular mimicry, or inflammation signals from gut microbiota (<xref ref-type="bibr" rid="B478">Westall, 2006</xref>). Histological evidence has shown that the activated T cells cross the BBB, invade the CNS, and congregate around small venules to trigger localized inflammation (<xref ref-type="bibr" rid="B248">Kuhlmann et al., 2017</xref>). Over the decades, the EAE model, focused primarily on T cells, has been the model for MS pathogenesis and treatment studies (<xref ref-type="bibr" rid="B372">Preiningerova et al., 2022</xref>). Current treatments are largely the primary application of disease-modifying treatments, immunosuppressants, immunomodulators, and immune-reconstitution therapies, in addition to symptomatic treatments such as anticholinergics for urinary incontinence and pain medication for neuropathic pain (<xref ref-type="bibr" rid="B113">Dobson and Giovannoni, 2019</xref>). Patient-dependent conditions affecting the effectiveness of treatment or, quite possibly, affecting outcomes through the gut microbiota, however, are still to be established.</p>
</sec>
<sec>
<title>2.4.2 Dysbiosis of gut microbiota in MS</title>
<p>In patients with MS, it was found that the composition of their microbiota was relatively reduced from that of healthy individuals. Studies are not entirely consistent, but they mostly report an increase in Akkermansiaceae and Methanobacteriaceae, and a decrease in SCFA-producing Bacteroidetes and Clostridia clusters (<xref ref-type="bibr" rid="B20">Atarashi et al., 2011</xref>; <xref ref-type="bibr" rid="B357">Palm et al., 2015</xref>; <xref ref-type="bibr" rid="B474">Wang et al., 2019</xref>). While EAE models have offered valuable insight into adaptive immune responses, demyelination, and axonal damage in MS, they fall short in replicating the full spectrum of human MS pathology, particularly the disease&#x00027;s onset and heterogeneity (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig position="float" id="F5">
<label>Figure 5</label>
<caption><p>The figure shows how gut microbes and diet impact the course of multiple sclerosis (MS). Whereas, pathogenic microbes and a Western diet trigger gut inflammation, both of which are detrimental in MS, while beneficial microbes, anti-inflammatory metabolites, and a MeDi are all gut-healthy and alleviate symptoms. In the left panel (Red&#x02014;Worse MS), the pro-inflammatory microbes like <italic>Akkermansia muciniphila</italic> and their toxins activate immune pathways (e.g., NF-&#x003BA;B), trigger autoimmune responses, and damage gut integrity. Poor diet further increases inflammation and disease risk. In the right panel (Green&#x02014;alleviation of MS), the beneficial metabolites (e.g., SCFAs, tryptophan ligands), as well as polysaccharides from <italic>Bacteroides fragilis</italic>, activate the immune system. Fecal transplants combined with healthy diets reduce inflammation, improve gut barrier function, and ease MS symptoms. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0005.tif">
<alt-text>Diagram titled &#x0201C;Multiple Sclerosis and Gut Microbiome&#x0201D; illustrating the effects of gut microbiota on MS symptoms. The left side shows pro-inflammatory actions and negative dietary impacts, like a Western diet. The right side highlights anti-inflammatory actions, FMT benefits, and positive effects of a Mediterranean diet. Arrows indicate the progression from disease to health through gut microbiome interventions.</alt-text>
</graphic>
</fig>
<p>GI symptoms, including anorectal dysfunction such as constipation and fecal incontinence, are commonly reported in MS, affecting approximately 40% of patients (<xref ref-type="bibr" rid="B346">Nusrat et al., 2012</xref>). Additionally, <xref ref-type="bibr" rid="B324">Minuk and Lewkonia (1986)</xref> have even reported familial clustering of Inflammatory Bowel Disease (IBD) and MS, suggesting that they have genetic or environmental risk factors in common. In the past few years, several studies have explored the differences in fecal gut microbiota between MS patients and healthy controls, revealing that gut microbial dysbiosis with both depletion and enrichment of certain gut microbiota in MS patients, as shown in <xref ref-type="table" rid="T6">Table 6</xref>. For example, <xref ref-type="bibr" rid="B75">Chen et al. (2016)</xref> reported increased levels of <italic>Pseudomonas, Mycoplasma, Haemophilus, Blautia</italic>, and <italic>Dorea</italic>, and reductions in <italic>ParaBacteroides, Adlercreutzia</italic>, and <italic>Prevotella</italic> in RRMS patients. Whether these changes are a cause or a consequence of the disease remains unclear. Increased levels of <italic>Methanobrevibacter</italic> and <italic>Akkermansia</italic> are increased, whereas those of <italic>Butyricimonas</italic> decreased in RRMS patients (<xref ref-type="bibr" rid="B210">Jangi et al., 2016</xref>).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Alterations in gut microbiota and associated functions in MS patients.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Sample size</bold></th>
<th valign="top" align="left"><bold>Sample sources</bold></th>
<th valign="top" align="left"><bold>Changes of gut microbiota</bold></th>
<th valign="top" align="left"><bold>Associated functions and pathways</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MS group: <italic>n</italic> = 31; HC group: <italic>n</italic> = 36</td>
<td valign="top" align="left">Stool samples from RRMS patients (active/remission) vs. HCs</td>
<td valign="top" align="left"><italic>&#x02191;Pseudomonas, &#x02191;Pedobacter, &#x02191;Blautia, &#x02191;Dorea, &#x02191;Mycoplana, &#x02193;Adlercreutzia, &#x02193;Collinsella, &#x02193;Lactobacillus, &#x02193;ParaBacteroides</italic></td>
<td valign="top" align="left">Signal transduction Lipid transport and metabolism Immune defense mechanisms Fatty acid biosynthesis Membrane transport systems</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B75">Chen et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS group: <italic>n</italic> = 60; HC group: <italic>n</italic> = 43</td>
<td valign="top" align="left">Stool samples from RRMS patients (remission) vs. HCs</td>
<td valign="top" align="left"><italic>&#x02191;Methanobrevibacter, &#x02191;Akkermansia, &#x02193;Butyricimonas</italic></td>
<td valign="top" align="left">Inflammatory cells recruitment Barrier function disruption</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B210">Jangi et al., 2016</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS group: <italic>n</italic> = 7; HC group: <italic>n</italic> = 8</td>
<td valign="top" align="left">Stool samples from RRMS patients (remission) vs. HCs</td>
<td valign="top" align="left"><italic>&#x02191;Akkermansia, &#x02191;Faecalibacterium, &#x02191;Coprococcus, &#x02193;</italic>Moraxellaceae</td>
<td valign="top" align="left">Not addressed</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B63">Cantarel et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS group: <italic>n</italic> = 20; HC group: <italic>n</italic> = 40</td>
<td valign="top" align="left">Stool samples from RRMS patients (remission) vs. HCs</td>
<td valign="top" align="left"><italic>&#x02191;Bifidobacterium, &#x02191;Streptococcus, &#x02193;Bacteroides, &#x02193;Faecalibacterium, &#x02193;Prevotella, &#x02193;Anaerostipes</italic></td>
<td valign="top" align="left">Systemic inflammation</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B328">Miyake et al., 2015</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS group: <italic>n</italic> = 19; HC group: <italic>n</italic> = 17</td>
<td valign="top" align="left">Small intestinal mucosa from active RRMS vs. HCs and inactive MS</td>
<td valign="top" align="left">&#x02191;Firmicutes<italic>/</italic>Bacteroidetes <italic>ratio, &#x02191;Streptococcus, &#x02193;Prevotella</italic></td>
<td valign="top" align="left">Differentiation and an increase in the Th17 cell population</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B89">Cosorich et al., 2017</xref></td>
</tr>
<tr>
<td valign="top" align="left">MS group: <italic>n</italic> = 71; HC group: <italic>n</italic> = 71</td>
<td valign="top" align="left">Stool samples from RRMS patients (remission) vs. HCs</td>
<td valign="top" align="left"><italic>&#x02191;Acinetobacter, &#x02191;Akkermansia, &#x02193;ParaBacteroides</italic></td>
<td valign="top" align="left">The differentiation of Treg cells and Th1 cells</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B69">Cekanaviciute et al., 2017</xref></td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>&#x02191;, Increase; &#x02193;, Decrease.</p>
</table-wrap-foot>
</table-wrap>
<p>In addition, differences in corresponding changes in expression levels of genes associated with dendritic cell maturation, interferon signaling, and NF-&#x003BA;B signaling pathways in circulating T cells and monocytes have been noted (<xref ref-type="bibr" rid="B210">Jangi et al., 2016</xref>). The relation between the variation in gut microbiota diversity and relapse risk in children with MS was found with testing by <xref ref-type="bibr" rid="B439">Tremlett et al. (2016)</xref>; thus, the depletion of <italic>Fusobacteria</italic> correlated with the relapse risk of pediatric MS. Nevertheless, all those discoveries were performed on gut microbiota obtained from stool samples of MS patients in remission. A recent study has been done on changes in microbiota within small intestinal tissues from MS patients in the active phase. The authors reported an increased Firmicutes/Bacteroidetes ratio and <italic>Streptococcus</italic> abundance, with a reduction in <italic>Prevotella</italic> strains in patients with active MS when compared with healthy controls and patients with MS in remission (<xref ref-type="bibr" rid="B89">Cosorich et al., 2017</xref>). Moreover, the relative presence of <italic>Prevotella</italic> strains was inversely associated with Th17 cells in the small intestine, while positively related to disease activity (<xref ref-type="bibr" rid="B89">Cosorich et al., 2017</xref>). Although changes in gut microbiota have been reported, it remains uncertain whether these changes are a cause or a consequence of the disease.</p>
</sec>
<sec>
<title>2.4.3 Treatment strategies</title>
<sec>
<title>2.4.3.1 Probiotics</title>
<p>Synergistic therapeutic effects may be exerted by the different strains in probiotic cocktails; therefore, three strains of <italic>Lactobacillus</italic>, each shown alone to have a protective effect against the development of EAE when administered before disease onset, were shown to inhibit established disease when administered as a therapeutic mixture. In MS patients, administering a mixture of probiotics (enriched with <italic>Lactobacillus, Streptococcus</italic>, and <italic>Bifidobacterium</italic>) switched the peripheral immune response to an anti-inflammatory one and reversed the microbiota composition changes associated with MS (<xref ref-type="bibr" rid="B254">Lavasani et al., 2010</xref>). In this short-term study, it was not assessed whether these changes were associated with clinical improvement; however, data from randomized double-blind placebo-controlled clinical trials lasting 3&#x02013;4 months with a similar probiotic mixture (<italic>Lactobacilli</italic> and <italic>Bifidobacteria</italic>) suggest that a daily probiotic may improve clinical symptoms in MS (<xref ref-type="bibr" rid="B427">Tankou et al., 2018b</xref>).</p>
<p>Despite some studies suggesting a positive impact of probiotics, recent meta-analyses on EAE have been quite disappointing (<xref ref-type="bibr" rid="B449">Valizadeh et al., 2021</xref>). One of the outcomes observed from meta-analysis prescribed administration of probiotics to be associated with a considerable decline in risk of mortality, although this observation holds only for female animals. Furthermore, the meta-analysis confirmed promising effects of probiotics on the prevention as well as management of EAE (lower incidence, delayed expression of symptoms, and less severe symptoms). Using <italic>Enterococci</italic> bacteria rendered the most hopeful results. Hence, the authors are concluding that it&#x00027;s worth it to conduct trials in humans (<xref ref-type="bibr" rid="B449">Valizadeh et al., 2021</xref>). A recent meta-analysis in relapsing-remitting MS patients stated four trials that included 213 patients (106 under intervention) and summarized that there was improvement in disability and depression, as well as general health in patients to whom probiotics were administered (<xref ref-type="bibr" rid="B326">Mirashrafi et al., 2021</xref>). Such results should be interpreted with caution. Another study of nine MS patients reveals some correlation with microbiome composition changes and an inflammatory cytokine shift in the blood during the weeks of treatment via probiotics (<xref ref-type="bibr" rid="B426">Tankou et al., 2018a</xref>).</p>
</sec>
<sec>
<title>2.4.3.2 Antibiotics</title>
<p>According to observations, a combination of broad-spectrum antibiotics inhibited the development of EAE and altered the clinical course during the progressive phase of EAE (<xref ref-type="bibr" rid="B349">Ochoa-Rep&#x000E1;raz et al., 2009</xref>; <xref ref-type="bibr" rid="B86">Colpitts et al., 2017</xref>). Human trials showed that in people with high-risk features, treatment with minocycline reduced in 6 months the risk of conversion to MS, decreased lesion volume, and showed the absence of new enhancing lesions, but this effect did not last beyond 24 months of study (<xref ref-type="bibr" rid="B372">Preiningerova et al., 2022</xref>). In SJL mice with EAE, a 7-day oral antibiotic regimen (ampicillin, vancomycin, neomycin, metronidazole) before disease induction led to amelioration of the disease through an accumulation of Tregs in the peripheral lymph nodes (<xref ref-type="bibr" rid="B349">Ochoa-Rep&#x000E1;raz et al., 2009</xref>). Antibiotic mixture administered in NOD/ShiLt mice pre-EAE improved the disease course, correlated with enhanced Tregs and altered gut microbiota in Peyer&#x00027;s patches (<xref ref-type="bibr" rid="B86">Colpitts et al., 2017</xref>). Following this pattern, TMEV-infected SJL/J mice treated orally with this same antibiotic mixture showed protection against motor dysfunction, axonal damage, and CNS immune infiltration, likely through enhanced CD4<sup>&#x0002B;</sup>CD39<sup>&#x0002B;</sup> T cells, CD5<sup>&#x0002B;</sup>CD1d<sup>&#x0002B;</sup> B cells, and downregulated IL-17 in the periphery (<xref ref-type="bibr" rid="B319">Mestre et al., 2019</xref>).</p>
</sec>
<sec>
<title>2.4.3.3 FMT</title>
<p>The striking effects of FMT in MS patients have always found their way into case reports in scientific literature. One fortunate report is that of 3 patients diagnosed with MS who were dependent on wheelchairs yet improved neurologically after FMT for constipation to the point that they could walk without assistance (<xref ref-type="bibr" rid="B47">Borody et al., 2014</xref>; <xref ref-type="bibr" rid="B453">Vendrik et al., 2020</xref>). Rebuilding the gut microbiota represents an exciting new approach to the management of MS, but it will need well-constructed controlled studies to be scientifically validated. FMT in animal models has been found to reduce the abundance of the <italic>Akkermansia</italic> genus (in phylum Verrucomicrobia) and increase the abundance of the <italic>Prevotella</italic> genus (in phylum Bacteroidetes) in gut microbiota (<xref ref-type="bibr" rid="B427">Tankou et al., 2018b</xref>), which is in line with findings of decreased gut <italic>Akkermansia</italic> after probiotic interventions and increased gut <italic>Prevotella</italic> after first-line disease-modifying treatments and time-restricted eating in MS patients (<xref ref-type="bibr" rid="B210">Jangi et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Barati et al., 2023</xref>). An in-depth investigation including metagenomics in a single MS patient following FMT not only showed altered composition of gut microbiome with a highly sustained production of SCFAs, improved gait, and no relapse during a year of follow up, but also showed a sustained increase in serum levels of BDNF known to be low in MS (<xref ref-type="bibr" rid="B127">Engen et al., 2020</xref>).</p>
<p>A recent proof-of-concept single-subject longitudinal study investigating the putative impact of FMT on relapsing-remitting MS was conducted. The patient underwent FMT infusion with material from five healthy donors and was followed for 12 months for clinical assessments, detailed descriptions of fecal microbiome composition, fecal SCFA concentration measures, and serum levels of inflammatory and neuroprotective biomarkers (<xref ref-type="bibr" rid="B127">Engen et al., 2020</xref>). The treatment given to this patient resulted in an improved microbiome with an increase in bacterial diversity, partly due to an increase in the relative abundance of butyrate-producing bacterial species, which were paralleled by an increase in butyrate concentration, an anti-inflammatory SCFA (<xref ref-type="bibr" rid="B127">Engen et al., 2020</xref>). The microbiota-altered state correlated with lower levels of inflammatory cytokines associated with increased serum levels of the neuroprotective factor, brain-derived growth factor. The patient improved clinically in gait, and throughout the study, improvements were seen in walking and balancing metrics. However, it is important to note that these findings are preliminary, and the evidence supporting FMT as a treatment for MS remains limited. In like fashion, a case report suggested that FMT treatment of a patient with secondary progressive MS for <italic>Clostridium difficile</italic> enterocolitis correlated with disease stabilization (<xref ref-type="bibr" rid="B304">Makkawi et al., 2018</xref>). More rigorous, controlled trials are needed to confirm the potential benefits and safety of FMT as a strategy for MS. These observations call for renewed clinical efforts to investigate the merits of restoring the microbiota through FMT as a complementary strategy to MS treatment, and clinical trials are ongoing.</p>
<p>While detailed human studies are limited, MS involves gut dysbiosis that influences immune regulation, with preclinical data suggesting certain bacterial taxa may modulate neuroinflammatory responses. Microbiome-targeted interventions like probiotics and diet have shown potential to modulate immune activity and may reduce disease activity, though more robust clinical evidence is needed.</p>
</sec>
</sec>
</sec>
</sec>
<sec id="s3">
<title>3 Mood and anxiety disorders</title>
<sec>
<title>3.1 Major depressive disorder (MDD)</title>
<p>The microbiota of patients suffering from MDD represents much less diversity and altered abundances of taxonomies involved in neurotransmitter synthesis and immune modulation, both mainly consistent in terms of pointing toward dysbiosis (<xref ref-type="bibr" rid="B27">Barandouzi et al., 2020</xref>; <xref ref-type="bibr" rid="B450">Valles-Colomer et al., 2019</xref>). The GBA effects its influence on depression through neuroinflammatory pathways alteration of neurotransmitter precursors and the secondary dysregulation of HPA axis. Probiotics have been used in connection with dietary interventions leading to improvements in mood and inflammation in human trials (<xref ref-type="bibr" rid="B230">Kazemi et al., 2019</xref>). Even though the application of FMT remains experimental, some studies show small benefits toward lowering depressive symptoms (<xref ref-type="bibr" rid="B154">Green et al., 2023</xref>). Studies continue to accumulate evidence that correlate microbiome alterations with depression, promising microbiota-based approaches pending further validation.</p>
<sec>
<title>3.1.1 Background</title>
<p>MDD is characterized by constant depressed mood, anhedonia, altered sleep and appetite, fatigue, guilt, hopelessness, and suicidal tendencies (<xref ref-type="bibr" rid="B15">Arnaud et al., 2022</xref>). Over the years, a rising trend has been seen in the prevalence of depression since the time of observation (<xref ref-type="bibr" rid="B94">Cui et al., 2024</xref>). In 2018, MDD disease burden ranked third in the world according to the WHO, and by 2030, it is supposed to rise to the first (<xref ref-type="bibr" rid="B306">Malhi and Mann, 2018</xref>). A psychiatric disorder is formed due to the complex interplay of environmental factors and genetic vulnerability (<xref ref-type="bibr" rid="B407">Souza et al., 2023</xref>). The risks of developing several physical comorbidities like cardiovascular diseases, stroke, diabetes, and obesity along with social stigma are quite higher for MDD persons (<xref ref-type="bibr" rid="B365">Penninx et al., 2013</xref>). Some of these revolve around education, work, and relationships (<xref ref-type="bibr" rid="B61">Campbell et al., 2022</xref>). In case antidepressants are used in conjunction with psychotherapy, some patients can get better. Unfortunately, not all respond to treatment. As many as 30&#x02013;50% of depressed patients respond only partially to antidepressants, leaving them with substantial residual symptoms (<xref ref-type="bibr" rid="B99">Davis et al., 2021</xref>). Additionally, 10&#x02013;30% of patients of those who are resistant to the effects of antidepressants and thus non-responders to treatment. Differences in treatment response may be indicative of differences in etiologies and mechanisms, like neuroinflammation, changes in the neuroendocrine system, or alterations in the gut microbiome (<xref ref-type="bibr" rid="B331">Mousten et al., 2022</xref>). This greatly simplifies a complex process, but a map of the human microbiome may offer new opportunities for tracking therapeutic responses in depression.</p>
<p>Another study showed that both psychosocial as well as physical stressors influence the body&#x00027;s response through the HPA axis (<xref ref-type="bibr" rid="B148">Godoy et al., 2018</xref>). The HPA axis initiates a response in times of stress, stopping the activity through negative feedback, engaging the hippocampus and the paraventricular nucleus of the hypothalamus. A properly perceived stress situation calls for a rapid and vigorous response, along with a timely cessation of that response (<xref ref-type="bibr" rid="B312">McEwen and Akil, 2020</xref>). Dysfunction of the HPA axis is common in individuals with MDD and is capable of activating the axis that would alter gut microbiota and increase gut permeability (<xref ref-type="bibr" rid="B104">De Punder and Pruimboom, 2015</xref>).</p>
<p>MDD is also marked by systemic inflammation with high cytokines IL-6, TNF-&#x003B1;, and IL-1&#x003B2; (<xref ref-type="bibr" rid="B440">Troubat et al., 2021</xref>). The increased level of inflammatory cytokines is perhaps a result of dysbiosis of the gut microbiota, which may further weaken the integrity of the gut barrier. These stimuli will also stimulate brain microglia and trigger the NLRP3 inflammasome to release IL-1&#x003B2; and IL-18 (<xref ref-type="bibr" rid="B440">Troubat et al., 2021</xref>). The released mediators would also support neuroinflammation. Inflammation also shifts tryptophan metabolism away from serotonin to neurotoxic kynurenine pathway metabolites, like quinolinic acid, and disturbs neurotransmission and thus plays a role in depressive symptoms (<xref ref-type="bibr" rid="B78">Chen et al., 2021</xref>; <xref ref-type="bibr" rid="B275">Liang et al., 2024</xref>). Major depression is treated by various pharmacological and non-pharmacological interventions. Exercise and lifestyle modification exert substantial antidepressant effects, especially for mild MDD (<xref ref-type="bibr" rid="B309">Marx et al., 2023</xref>). Therefore, modulation of gut microbiota mechanisms might be the key to symptom relief of MDD.</p>
</sec>
<sec>
<title>3.1.2 Microbiota dysbiosis and depressive behaviors</title>
<p><italic>Escherichia</italic> and <italic>Enterococcus</italic> produce serotonin, while <italic>Bifidobacterium</italic> and <italic>Lactobacillus</italic> synthesize GABA (<xref ref-type="bibr" rid="B404">Soca&#x00142;a et al., 2021</xref>). Microbes like <italic>Coprococcus</italic> and <italic>Faecalibacterium</italic> also produce acetate, butyrate, and propionate, which are known to affect the immune, endocrine, and nervous systems (<xref ref-type="bibr" rid="B450">Valles-Colomer et al., 2019</xref>). Gut SCFAs promote serotonin synthesis in the gut and further communicate with the brain via the vagus nerve. Although SCFAs can cross the BBB, serotonin and GABA generally do not, unless barrier integrity is compromised, as seen in stress and depression models (<xref ref-type="bibr" rid="B308">Margolis et al., 2021</xref>). A translation from gut microbiota research to clinical settings is undermined by the complexity surrounding individual microbial profiles (<xref ref-type="bibr" rid="B142">Galland, 2014</xref>). Investigative efforts so far concerning enterotypes, such as alpha diversity, the Firmicutes-to-Bacteroidetes ratio, aim at the identification of an MDD-specific fecal signature (<xref ref-type="bibr" rid="B450">Valles-Colomer et al., 2019</xref>). Reduced Firmicutes proportion in MDD patients, as a suggestion for the establishment of an MDD biomarker, was reported by <xref ref-type="bibr" rid="B216">Jiang et al. (2015)</xref>. This, however, was followed by systematic reviews showing inconsistent results and hence raised questions on replicability (<xref ref-type="bibr" rid="B27">Barandouzi et al., 2020</xref>). Most studies have shown that the GM of MDD patients differs from that of controls at the phylum, class, order, family, and genus levels, but with a particular emphasis on differences at the phylum, family, and genus levels (<xref ref-type="table" rid="T7">Table 7</xref>).</p>
<table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Alterations in the gut microbiota abundance in patients with MDD.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Sample</bold></th>
<th valign="top" align="left"><bold>Age</bold></th>
<th valign="top" align="left"><bold>Phylum</bold></th>
<th valign="top" align="left"><bold>Family</bold></th>
<th valign="top" align="left"><bold>Genus</bold></th>
<th valign="top" align="left"><bold>References</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MDD (<italic>N</italic> = 63) <break/>HC (<italic>N</italic> = 30)</td>
<td valign="top" align="left">MDD: 28 years, <break/>HC: 29 years</td>
<td valign="top" align="left">Actinobacteria&#x02191;</td>
<td valign="top" align="left">Bifidobacteriaceae&#x02191;, Lactobacillaceae&#x02193;</td>
<td valign="top" align="left"><italic>Agathobacter&#x02191;, Bifidobacterium&#x02191;, Blautia&#x02191;</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B116">Dong et al., 2022</xref></td>
</tr>
<tr>
<td valign="top" align="left">MDD (<italic>N</italic> = 43) <break/>HC (<italic>N</italic> = 47)</td>
<td valign="top" align="left">MDD: 21 years, <break/>HC: 22 years</td>
<td valign="top" align="left">Bacteroidetes&#x02191;, Firmicutes&#x02193;</td>
<td valign="top" align="left">Ruminococcaceae&#x02193;</td>
<td valign="top" align="left"><italic>Flavonifractor&#x02191;, Ruminococcus&#x02193;, Faecalibacterium&#x02193;</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B285">Liu R. T. et al., 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">MDD (<italic>N</italic> = 62) <break/>HC (<italic>N</italic> = 46)</td>
<td valign="top" align="left">MDD: 39 years, <break/>HC: 36 years</td>
<td valign="top" align="left">Bacteroidetes&#x02191;, Proteobaeteria&#x02191;, Fusobacteria&#x02191;, Firmicutes&#x02193;, Actinobacteria&#x02193;</td>
<td valign="top" align="left">Rikenellaceae&#x02191;, Porphyromonadaceae&#x02191;, Oscillospiraceae&#x02191;, Corynebacteriaceae&#x02191;, Ruminococcaceae&#x02193;, Lachnospiraceae&#x02193;, Eubacteriaceae&#x02193;, Lactobacillaceae&#x02193;</td>
<td valign="top" align="left"><italic>Eggerthella&#x02191;, Streptococcus&#x02191;, Oscillibacter&#x02191;, Bacteroides&#x02193;</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B78">Chen et al., 2021</xref></td>
</tr>
<tr>
<td valign="top" align="left">MDD (<italic>N</italic> = 36) <break/>HC (<italic>N</italic> = 37)</td>
<td valign="top" align="left">MDD: 45 years, <break/>HC: 41 years</td>
<td valign="top" align="left">Actinobacteria&#x02191;, Firmicutes&#x02191;, Bacteroidetes&#x02193;</td>
<td valign="top" align="left">Bifidobacteriaceae&#x02191;, Lachnospiraceae&#x02191;, Prevotellaceae&#x02193;</td>
<td valign="top" align="left"><italic>Bifidobacterium&#x02191;, Blautia&#x02191;, Eggerthella&#x02191;, ParaBacteroides&#x02191;, Streptococcus&#x02191;, Prevotella&#x02193;</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B82">Chung et al., 2019</xref></td>
</tr>
<tr>
<td valign="top" align="left">MDD (<italic>N</italic> = 27) <break/>HC (N =27)</td>
<td valign="top" align="left">MDD: 48 years, <break/>HC: 42 years</td>
<td valign="top" align="left">Firmicutes&#x02193;</td>
<td valign="top" align="left">Lachnospiraceae&#x02193;, Ruminococcaceae&#x02193;</td>
<td valign="top" align="left"><italic>Prevotella&#x02193;, Faecalibacterium&#x02193;</italic></td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B202">Huang et al., 2018</xref></td>
</tr>
<tr>
<td valign="top" align="left">MDD (<italic>N</italic> = 37) <break/>HC (<italic>N</italic> = 18)</td>
<td valign="top" align="left">MDD: 42 years, <break/>HC 46 years</td>
<td valign="top" align="left">Bacteroidetes&#x02193;</td>
<td valign="top" align="left">Lachnospiraceae&#x02193;</td>
<td valign="top" align="left"><italic>Alistipes&#x02191;, Oscillibactergenus</italic>&#x02191;</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B340">Naseribafrouei et al., 2014</xref></td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>&#x02191;, Increase; &#x02193;, Decrease.</p>
</table-wrap-foot>
</table-wrap>
<p>Higher relative abundance of proinflammatory bacteria like <italic>Eggerthella, Atopobium</italic> was found to be increased, and decreased relative abundance of <italic>Faecalibacterium</italic> in the subjects with MDD (<xref ref-type="bibr" rid="B244">Knudsen et al., 2021</xref>). Similarly, patients with MDD also had decreased relative abundance of the genera <italic>Coprococcus</italic> and <italic>Faecalibacterium</italic> compared to non-depressed individuals in a meta-analysis by <xref ref-type="bibr" rid="B388">Sanada et al. (2020)</xref>. The meta-analytical study shows decreased abundance in the MDD patients when compared to controls in the bacterial families Veillonellaceae, Prevotellaceae, and Sutterellaceae, genera <italic>Coprococcus, Faecalibacterium, Ruminococcus, Bifidobacterium, Escherichia</italic>, and shows an increase in abundance in Actinomycetaceae family and <italic>Paraprevotella</italic> genus (<xref ref-type="bibr" rid="B388">Sanada et al., 2020</xref>). Interestingly, <italic>Faecalibacterium</italic> served as a primary butyrate-producing bacterium in the gut, being crucial for gut homeostasis and possibly alleviating depressive symptoms at least in animal models (<xref ref-type="bibr" rid="B412">Stilling et al., 2016</xref>).</p>
</sec>
<sec>
<title>3.1.3 Gut microbiota-based therapeutic interventions</title>
<sec>
<title>3.1.3.1 Probiotics</title>
<p>A double-blind study showed the results of <italic>Lactobacillus rhamnosus</italic> HN001 from mid-pregnancy to 6 months postpartum, which decreased the signs of postpartum depression and anxiety symptoms (<xref ref-type="bibr" rid="B403">Slykerman et al., 2017</xref>). They saw improved psycho-emotional scoring in patients receiving a probiotic as compared to those on placebo. However, clinically significant anxiety seemed to have been reduced; the findings, however, were not statistically conclusive for the effects of this clinical trial on the incidence of postpartum depression (<xref ref-type="bibr" rid="B403">Slykerman et al., 2017</xref>). In an 8-week open-label trial, a group of researchers evaluated the effect of <italic>Clostridium butyricum</italic> MIYAIRI 588 (CBM588) in patients with treatment-resistant MMD in an open-label study (<xref ref-type="bibr" rid="B329">Miyaoka et al., 2018</xref>). Improvements were seen in clinician&#x02014;and self-rate measures of depression and anxiety. It was well-tolerated, with only mild and short-lived effects being reported. The findings imply that there could be possible therapeutic benefits from CBM588, although confirmation is needed from larger, placebo-controlled trials (<xref ref-type="bibr" rid="B329">Miyaoka et al., 2018</xref>).</p>
<p>According to <xref ref-type="bibr" rid="B436">Tian et al. (2019b)</xref>, increased BDNF levels, greater populations of butyrate-producing bacteria, and modulation of the HPA-axis were noticed in mice administered the <italic>Bifidobacterium longum</italic> subspecies <italic>infantis</italic> strain CCFM687 and developing depressive-like behavior as a consequence of stress. In fact, treatment with the bacterium <italic>Akkermansia muciniphila</italic> diminished the inducement of a depression-like behavior caused by chronic stress, where the regulation of this metabolic profile stands on such variables as acute corticosterone, dopamine, and BDNF (<xref ref-type="bibr" rid="B111">Ding et al., 2021</xref>). During another clinical trial, a probiotic/magnesium spirulina complex with <italic>Lactobacillus acidophilus, Bifidobacterium bifidum</italic>, and <italic>Streptococcus thermophilus</italic> was used with an adjunctive effect on current SSRIs for drug-resistant MDD patients. Overall, remarkable improvements in depressive symptoms and quality of life were observed; unfortunately, when the supplemental probiotics were taken away, relapsed into depression followed (<xref ref-type="bibr" rid="B25">Bambling et al., 2017</xref>). Those findings suggest that probiotics also may provide a further powerful adjunctive agent in improving resistance to antidepressant drugs and in averting the recurrence of depression, besides improving depressive symptoms through multiple means.</p>
</sec>
<sec>
<title>3.1.3.2 Prebiotics</title>
<p>Among the long-term supplementation with prebiotics, FOS, GOS, or their combination, promising results appear in demonstrating significant antidepressant and anxiolytic activities in mice (<xref ref-type="bibr" rid="B56">Burokas et al., 2017</xref>). Indeed, these behavioral improvements are clear indicators of gut microbiota modulation in which <italic>Akkermansia</italic> may increase along with beneficial SCFAs such as acetate and propionate, and the decrease of isobutyrate and stable n-butyrate levels in the gut. The most prominent effects of this combination, FOS&#x0002B;GOS, include diminished baseline and stress-induced corticosterone and a decrease in splenic IL-6 and TNF-&#x003B1; levels under chronic stress (<xref ref-type="bibr" rid="B56">Burokas et al., 2017</xref>). Evidencing changes indicate the possibility of prebiotics having neuroprotective, stress-buffering effects through the modulation of the MGBA by restoring microbial homeostasis, changing neuroendocrine responses, or affecting gene expression in stress-related brain regions (<xref ref-type="bibr" rid="B56">Burokas et al., 2017</xref>).</p>
</sec>
<sec>
<title>3.1.3.3 FMT</title>
<p>According to <xref ref-type="bibr" rid="B115">Doll et al. (2022)</xref>, the clinical trial with oral administration of FMT capsules in depressed irritable bowel syndrome (IBS) patients enhanced bacterial alpha diversity and increased the abundance of bacterial communities predominantly <italic>Bacteroides immitis</italic> and <italic>Bacteroides thicketi</italic>, as well as an attestation to significant improvement in depressive symptoms.</p>
<p>A pilot 8-week double-blind trial delved into the feasibility and safety of FMT in adults with moderate to severe MDD (<xref ref-type="bibr" rid="B154">Green et al., 2023</xref>). Participants were assigned to active or placebo groups receiving enemas prepared with donor stool and saline. No serious adverse events were reported, and mild-to-moderate effects occurred similarly across groups. An effective blinding procedure was utilized. Initial outcomes improve GI symptoms along with possible improvements in quality of life (<xref ref-type="bibr" rid="B154">Green et al., 2023</xref>). These findings point toward the possibility of providing FMT as an acceptable intervention requiring further investigation in larger controlled trials. However, FMT&#x00027;s mechanism of action in psychiatric disorders remains uncertain, donor screening and long-term safety require further clarification, and at present, no recommendations can be made for its routine use outside of clinical research.</p>
<p>Animal studies show that probiotics can reduce depressive-like behaviors through anti-inflammatory pathways. Human trials with psychobiotics demonstrate improvements in mood and stress markers, supporting microbiota modulation as a promising adjunct therapy.</p>
</sec>
</sec>
</sec>
<sec>
<title>3.2 Bipolar disorder (BD)</title>
<p>Research has shown that people suffering from BD have an altered gut microbiome with much reduced amounts of useful organisms, such as <italic>Faecalibacterium</italic>, and increased amounts of potentially harmful taxa, such as Actinobacteria, which is featured as one of the alterations (<xref ref-type="bibr" rid="B354">Painold et al., 2019</xref>). More relevant, microbiota profiles are related to the illness phase, severity of the condition, and with some inflammatory markers such as IL-6; this means that the changes in microbiota shifts may affect neuroinflammatory pathways that are involved in mood regulation. While these associations are robust, interventional evidence remains preliminary, mainly from small-scale probiotic or dietary modification studies.</p>
<sec>
<title>3.2.1 Background</title>
<p>BD is a chronic psychiatric condition characterized by alternating episodes of depression and elevated mood states, which may manifest as mania or hypomania. These episodes often alternate with periods of euthymia but can also occur in rapid succession or with mixed features. The disorder is classified into two main subtypes: bipolar I disorder (BP-I), defined by the presence of at least one full manic episode, and bipolar II disorder (BP-II), characterized by hypomanic episodes without progression to full mania (<xref ref-type="bibr" rid="B152">Grande et al., 2016</xref>). Longitudinal studies highlight the persistent and fluctuating nature of BD. Research indicates that individuals with BP-I remain symptomatic for nearly half of their illness course, with depressive symptoms being the most frequent and persistent, significantly outweighing manic/hypomanic and mixed episodes (<xref ref-type="bibr" rid="B344">Nierenberg et al., 2023</xref>). Subsyndromal symptoms are more prevalent than full-threshold episodes, while psychotic features occur infrequently and primarily during manic states. The illness trajectory is highly variable, marked by frequent shifts in symptom polarity, underscoring the chronic and recurrent nature of BD (<xref ref-type="bibr" rid="B152">Grande et al., 2016</xref>). Epidemiological data further demonstrate that over 90% of individuals with BD experience recurrent episodes, which contribute to progressive neurobiological changes, cognitive decline, and increased medical and psychiatric comorbidities (<xref ref-type="bibr" rid="B344">Nierenberg et al., 2023</xref>). Manic episodes are defined by at least 1 week of persistently elevated, expansive, or irritable mood accompanied by increased activity or energy, whereas hypomanic episodes present similar features without marked functional impairment or hospitalization. The presence of psychotic features necessitates classification as mania. The global burden of BD is substantial. The World Mental Health (WMH) survey, using the WHO Composite International Diagnostic Interview (CIDI 3.0), identified BD as one of the most disabling psychiatric conditions, with affected individuals averaging 41.2 days of role impairment per year 36.5 of which were directly attributed to BD (<xref ref-type="bibr" rid="B13">Alonso et al., 2011</xref>). These findings emphasize the critical need for early intervention, personalized treatment strategies, and ongoing research into the disorder&#x00027;s pathophysiology and long-term management (<xref ref-type="bibr" rid="B152">Grande et al., 2016</xref>; <xref ref-type="bibr" rid="B344">Nierenberg et al., 2023</xref>).</p>
</sec>
<sec>
<title>3.2.2 Gut microbiota alterations in BD</title>
<p>Biologically, people with BD, especially those who haven&#x00027;t started treatment, show noticeable changes in their gut microbiome. A study by <xref ref-type="bibr" rid="B197">Hu et al. (2019)</xref> found that these untreated patients had significantly less diverse gut bacteria (lower &#x003B1;-diversity) compared to healthy individuals. They also had unique bacterial compositions (<xref ref-type="bibr" rid="B197">Hu et al., 2019</xref>). These changes were found not only in untreated individuals but also in those who were being treated with the medication quetiapine. The study also looked closely at quetiapine, which was used to treat depressive episodes in BD. It was given on its own (monotherapy) at a dose of 200&#x02013;300 mg daily for 4 weeks. All participants were confirmed to be experiencing a depressive episode using structured psychiatric interviews and rating scales like the HDRS-17 and MADRS. After treatment, there was a clear improvement in symptoms. Although quetiapine is not directly labeled as an antipsychotic in this study, the effects it had both metabolically and on gut bacteria are consistent with what is known about that class of drugs. Importantly, the study only explored quetiapine&#x00027;s use in bipolar depression and did not extend its findings to other mental health conditions (<xref ref-type="bibr" rid="B197">Hu et al., 2019</xref>).</p>
<p>On the genetic side, research by <xref ref-type="bibr" rid="B184">Heun and Maier (1993)</xref> showed that BP-II may be genetically different from BP-I and unipolar depression. In their family-based study, relatives of people with BP-II had a higher risk of also having BP-II, suggesting it tends to run specifically in families (<xref ref-type="bibr" rid="B184">Heun and Maier, 1993</xref>). In contrast, less severe mood disorders did not show this familial pattern, supporting the idea that BP-II is a distinct and genetically separate condition. Moreover, the pilot study by <xref ref-type="bibr" rid="B313">McIntyre et al. (2021)</xref> observed that patients with BD had lower gut microbial &#x003B1;-diversity compared to healthy individuals, indicating a less varied gut microbiome. They also found a higher presence of <italic>Clostridiaceae</italic> bacteria in BD patients, with Collinsella specifically enriched in individuals with BD-II compared to those with BD-I, suggesting that different BD subtypes may have distinct microbiome patterns (<xref ref-type="bibr" rid="B313">McIntyre et al., 2021</xref>). However, due to the study&#x00027;s small sample size and lack of consistent grouping based on diagnosis or diet, the results need further investigation. Similarly, <xref ref-type="bibr" rid="B354">Painold et al. (2019)</xref> reported notable changes in gut microbiota among BD patients. They found that microbial &#x003B1;-diversity decreased as the duration of illness increased, meaning that the variety of gut bacteria reduced over time in individuals with BD (<xref ref-type="bibr" rid="B354">Painold et al., 2019</xref>). Compared to healthy controls, BD patients had higher levels of Actinobacteria and <italic>Coriobacteria</italic>, while healthy individuals had more <italic>Ruminococcaceae</italic> and <italic>Faecalibacterium</italic>, which are generally considered beneficial. Among BD patients with elevated levels of the inflammatory marker IL-6, there were increases in <italic>Lactobacillales</italic> and <italic>Streptococcaceae</italic>, suggesting a connection between inflammation and gut microbiota changes. The study also linked specific bacterial groups to metabolic issues in BD. For instance, <italic>Clostridiaceae</italic> were more abundant in patients with high cholesterol, and <italic>Eubacterium</italic> was associated with markers of oxidative stress. Additionally, more severe depressive symptoms were correlated with an increased presence of <italic>Enterobacteriaceae</italic>, while comparatively healthier BD patients had more <italic>Clostridiaceae</italic> and <italic>Roseburia</italic>. These findings support the relevance of MGBA mechanisms in BD pathophysiology, implicating both immune and metabolic pathways as shown in <xref ref-type="table" rid="T8">Table 8</xref>, and are conceptually illustrated through the microbiota&#x02013;immune&#x02013;metabolic&#x02013;brain axis model (<xref ref-type="fig" rid="F6">Figure 6</xref>; <xref ref-type="bibr" rid="B354">Painold et al., 2019</xref>).</p>
<table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>Summary of microbiota&#x02013;immune&#x02013;metabolic findings in BD.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Study</bold></th>
<th valign="top" align="left"><bold>Observation</bold></th>
<th valign="top" align="left"><bold>Microbial taxa</bold></th>
<th valign="top" align="left"><bold>Implication</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3"><xref ref-type="bibr" rid="B313">McIntyre et al. (2021)</xref></td>
<td valign="top" align="left">&#x02193;Alpha-diversity in BD vs. healthy controls</td>
<td valign="top" align="left">&#x02013;</td>
<td valign="top" align="left">Indicates reduced microbial diversity in BD</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;Abundance in BD (overall)</td>
<td valign="top" align="left">Clostridiaceae</td>
<td valign="top" align="left">Potential microbial signature of BD</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;Abundance in BD-II vs. BD-I</td>
<td valign="top" align="left"><italic>Collinsella</italic></td>
<td valign="top" align="left">Suggests subtype-specific microbiome differences</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="11"><xref ref-type="bibr" rid="B354">Painold et al. (2019)</xref></td>
<td valign="top" align="left">&#x02193;Alpha-diversity with increasing illness duration</td>
<td valign="top" align="left">&#x02013;</td>
<td valign="top" align="left">Suggests progressive gut dysbiosis in BD</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;Abundance in BD</td>
<td valign="top" align="left">Actinobacteria</td>
<td valign="top" align="left">Reflects altered gut microbial composition</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;Abundance in BD</td>
<td valign="top" align="left">Coriobacteria</td>
<td valign="top" align="left">Reflects altered gut microbial composition</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;Abundance in healthy controls</td>
<td valign="top" align="left">Ruminococcaceae</td>
<td valign="top" align="left">Indicates reduction of beneficial taxa in BD</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;Abundance in healthy controls</td>
<td valign="top" align="left">Faecalibacterium</td>
<td valign="top" align="left">Indicates reduction of beneficial taxa in BD</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;In BD with elevated IL-6</td>
<td valign="top" align="left">Lactobacillales</td>
<td valign="top" align="left">Suggests link between microbiota changes and inflammation</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;In BD with elevated IL-6</td>
<td valign="top" align="left">Streptococcaceae</td>
<td valign="top" align="left">Suggests link between microbiota changes and inflammation</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;In BD with high cholesterol</td>
<td valign="top" align="left">Clostridiaceae</td>
<td valign="top" align="left">Associated with metabolic disturbance in BD</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;In BD with oxidative stress markers</td>
<td valign="top" align="left"><italic>Eubacterium</italic></td>
<td valign="top" align="left">Associated with oxidative stress in BD</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;In BD with depressive symptoms</td>
<td valign="top" align="left">Enterobacteriaceae</td>
<td valign="top" align="left">Linked to greater symptom severity</td>
</tr>
<tr>
<td valign="top" align="left">&#x02191;In comparatively healthier BD patients</td>
<td valign="top" align="left">Clostridiaceae, Roseburia</td>
<td valign="top" align="left">May reflect relative microbial resilience</td>
</tr></tbody>
</table>
</table-wrap>
<fig position="float" id="F6">
<label>Figure 6</label>
<caption><p>This schematic illustrates the microbiota&#x02013;immune&#x02013;metabolic&#x02013;brain axis in BD. Gut dysbiosis, characterized by reduced microbial &#x003B1;-diversity and increased Clostridiaceae, is associated with immune activation. Elevated pro-inflammatory cytokines, particularly IL-6 and TNF-&#x003B1;, contribute to neuroinflammation, which is implicated in mood symptoms such as depression and mania. IL-6 also drives metabolic disturbances, including increased cholesterol and oxidative stress. These metabolic changes may, in turn, influence gut microbial composition, suggesting a bidirectional feedback loop. Together, these pathways highlight the integrated role of the gut&#x02013;immune&#x02013;metabolic axis in BD pathophysiology. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0006.tif">
<alt-text>Diagram illustrating the microbiota-immune-metabolic-brain axis in bipolar disorder. It shows gut microbiota affecting the immune system, which influences metabolic changes, leading to neuroinflammation in the brain. Key elements include decreased alpha-diversity and increased Clostridiaceae in gut microbiota, elevated IL-6 and TNF-alpha in the immune system, and heightened cholesterol and oxidative stress due to metabolic changes. Neuroinflammation is linked to depression and mania in the brain. Arrows depict the directional flow of these interactions.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>3.2.3 Microbial markers and therapeutic correlates</title>
<p>A cross-sectional study has found that taking atypical antipsychotics (AAPs) led to an increase in a group of gut bacteria called <italic>Lachnospiraceae</italic> and a decrease in Akkermansia, which is often linked to gut health (<xref ref-type="bibr" rid="B136">Flowers et al., 2017</xref>). While there was also an initial drop in Sutterella, this result was no longer significant after adjusting for age, body mass index (BMI), and gender. AAP use was also linked to a general decrease in gut microbial diversity, especially in women. In a related finding, A related study reported that people with BD had lower levels of <italic>Faecalibacterium</italic>, a beneficial bacterium known for producing butyrate a short-chain fatty acid important for gut health. Higher levels of this bacterium were associated with better physical wellbeing, mood, sleep quality, and lower anxiety (<xref ref-type="bibr" rid="B132">Evans et al., 2017</xref>). Moreover, another study also highlighted the important role of <italic>Faecalibacterium</italic> in producing butyrate (<xref ref-type="bibr" rid="B424">Tanca et al., 2017</xref>). Independently, <xref ref-type="bibr" rid="B389">Sasaki et al. (2018)</xref> tested the effects of small amounts of prebiotic fibers like indigestible dextrin, &#x003B1;-cyclodextrin, and dextran using a lab-based colon model and a small human trial. They found that these supplements increased the production of beneficial SCFAs like acetate and propionate without changing the overall diversity or makeup of gut bacteria. This suggests that low-dose prebiotics can boost gut health without disrupting the balance of the microbiome. Another study found that patients hospitalized for acute mania were 5.5 times more likely to have used systemic antibiotics in the preceding 3 days than controls (<xref ref-type="bibr" rid="B502">Yolken et al., 2016</xref>). This association suggests that bacterial infections, as evidenced by antibiotic use, may contribute to manic episodes through immune activation, highlighting infection prevention and treatment as potential targets. Complementary findings demonstrated that systemic immune activation via LPS in mice produced sustained reductions in novel object exploration for up to 24 h (<xref ref-type="bibr" rid="B161">Haba et al., 2012</xref>). These effects were independent of acute sickness and linked to impaired cognition and motivation, particularly continuous attention and curiosity, through prolonged central amygdala activation. Although not directly tied to BD prevention, the study illustrates how transient inflammation may result in lasting behavioral changes.</p>
</sec>
<sec>
<title>3.2.4 Developmental and drug-induced microbiome disruption</title>
<p>Disruptions to the gut microbiome during early development or the initial phases of psychiatric illness may influence the trajectory of mental disorders (<xref ref-type="bibr" rid="B255">Lavebratt et al., 2019</xref>) reported that early-life antibiotic exposure is linked to modestly increased risks for several childhood psychiatric disorders, including mood disorders, suggesting sensitive developmental windows for microbiome perturbations (<xref ref-type="bibr" rid="B255">Lavebratt et al., 2019</xref>). In first-episode psychosis, <xref ref-type="bibr" rid="B392">Schwarz et al. (2018)</xref> identified a distinct microbial signature with elevated <italic>Lactobacillus</italic> and decreased <italic>Veillonellaceae</italic>, correlating with greater symptom severity and poorer 12-month remission. These findings support the use of microbiome-targeted interventions early in life or illness to potentially mitigate progression of severe psychiatric conditions. Changes in the gut microbiome caused by antipsychotic medications particularly risperidone have been linked to weight gain and metabolic effects. In children receiving long-term risperidone, the ratio of Bacteroidetes to Firmicutes (two major bacterial groups in the gut) dropped significantly from 1.24 in psychiatric controls to just 0.20 in those who gained a lot of weight. This shift came with an increase in certain Firmicutes bacteria, especially <italic>Clostridium</italic> species and <italic>Erysipelotrichaceae</italic>. On the other hand, children whose weight stayed stable had higher levels of Collinsella aerofaciens (<xref ref-type="bibr" rid="B21">Bahr et al., 2015</xref>). Supporting this, <xref ref-type="bibr" rid="B21">Bahr et al. (2015)</xref> found that risperidone causes weight gain not only by affecting appetite but also by altering the gut microbiome in ways that reduce the body&#x00027;s ability to burn energy. In mice, risperidone treatment led to gut bacterial changes similar to those seen in obesity more Firmicutes, fewer Bacteroidetes and a 16% drop in resting energy expenditure, especially from anaerobic (non-oxygen-requiring) metabolism. Remarkably, this effect was transferable: when gut microbes or even just viral particles (phages) from risperidone-treated mice were transplanted into healthy mice, the recipients also experienced slower metabolism and weight gain. This suggests that risperidone&#x00027;s metabolic side effects are largely driven by changes in gut microbes, opening up the possibility of targeting the microbiome to prevent or reduce weight gain in patients taking this medication.</p>
</sec>
<sec>
<title>3.2.5 Gut microbiota-based therapeutic interventions</title>
<sec>
<title>3.2.5.1 Probiotics</title>
<p>In a randomized trial, <xref ref-type="bibr" rid="B109">Dickerson et al. (2018)</xref> randomized 66 patients following hospitalization for acute mania to receive 24 weeks of adjunct treatment with <italic>Lactobacillus rhamnosus</italic> GG plus <italic>Bifidobacterium animalis</italic> subsp. <italic>lactis</italic> Bb12 or placebo after discharge from hospital for acute mania. Fewer rehospitalizations for psychiatric illness over the balance of the year were reported by the probiotic group than were reported by the placebo group, as well as a longer time elapsed before rehospitalization. This protective benefit was strongest among participants whose baseline systemic inflammation was at or above the fiftieth percentile. In sharp contrast, <xref ref-type="bibr" rid="B131">Eslami Shahrbabaki et al. (2020)</xref> carried out an 8-week double-blind trial in which patients were administered a multi-strain probiotic (<italic>B. bifidum, B. lactis, B. longum, L. acidophilus</italic>) with a diagnosis of bipolar I disorder and no significant differences on mania or depression rating scales were found, emphasizing that pinpointing strains and duration for treatments needs refinement. As a whole, these studies underpin further inquiry into the use of probiotic strategies as preventative and adjunctive dependent modalities for bipolar disorder, whereas further studies in humans are required to ascertain efficacy and achieve protocol optimization.</p>
</sec>
<sec>
<title>3.2.5.2 Prebiotics</title>
<p>According to a preclinical study, <xref ref-type="bibr" rid="B227">Kao et al. (2018)</xref>, on whether the prebiotic (B-GOS<sup>&#x000AE;</sup>) could ameliorate olanzapine-evoked weight gain while sustaining the antispychotic effects of the drug, B-GOS<sup>&#x000AE;</sup> was found to prevent the typical olanzapine-induced weight gain in female rats. The specific metabolic benefit appears to result from gut bacteria modifications, increased Bifidobacterium and decreased Firmicutes species. B-GOS<sup>&#x000AE;</sup> alone raised blood acetate levels (a short-chain fatty acid), but when it was combined with olanzapine, acetate levels returned to normal, while fat tissue metabolism improved through restored GPR43 receptor expression. Besides, B-GOS<sup>&#x000AE;</sup> supplementations elevated NMDA receptor components (GluN1 protein and GluN2A mRNA) of the brain essential for cognitive functions besides raising the inflammatory marker TNF&#x003B1; in combination with olanzapine as a factor toward weight gain reduction. B-GOS<sup>&#x000AE;</sup> did not, however, compromise the main olanzapine antipsychotic mechanism, which is mediated through blockage of serotonin 5-HT2A receptors. The results seem to show that B-GOS<sup>&#x000AE;</sup> may be an effective adjunct treatment aimed at preventing metabolic side effects of antipsychotics; however, the precise role attributed to acetate in this regard still remains to be clarified.</p>
<p>Limited but emerging evidence suggests gut microbiota alterations in BD may affect immune and neuroinflammatory pathways influencing mood swings. Preliminary human studies associate specific microbial signatures with mood states, and probiotic interventions are under investigation for mood stabilization by reducing systemic inflammation.</p>
</sec>
</sec>
</sec>
<sec>
<title>3.3 Anxiety disorders</title>
<p>Gut microbiota alterations in anxiety disorders are increasingly evident in human studies, with beta-diversity consistently shifted, while alpha-diversity and taxa level changes remain heterogeneous across disorder subtypes and sex (<xref ref-type="bibr" rid="B217">Jiang et al., 2018</xref>; <xref ref-type="bibr" rid="B58">Butler et al., 2023</xref>; <xref ref-type="bibr" rid="B241">Kim et al., 2023</xref>). Preclinical models converge on immune&#x02013;inflammatory signaling, HPA axis dysregulation and neurotransmitter alterations as recurrent mechanistic pathways (<xref ref-type="bibr" rid="B378">Ravi et al., 2021</xref>; <xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>; <xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>), with probiotic and prebiotic supplementation showing anxiolytic effects in randomized controlled trials via MGBA modulation (<xref ref-type="bibr" rid="B222">Johnstone et al., 2021</xref>; <xref ref-type="bibr" rid="B524">Zhu R. et al., 2023</xref>).</p>
<sec>
<title>3.3.1 Background</title>
<p>Anxiety disorders represent a group of persistent neuropsychiatric conditions affecting approximately 4.05% of the global population, with prevalence rising by over 55% since 1990 (<xref ref-type="bibr" rid="B212">Javaid et al., 2023</xref>). Despite the widespread use of serotonergic medications, benzodiazepines and cognitive behavioral therapy (CBT), therapeutic outcomes remain limited with less than 50% of patients reaching full remission and nearly one-third do not respond to conventional treatments (<xref ref-type="bibr" rid="B105">De Vries et al., 2016</xref>). Clinically, anxiety disorders encompass disorders such as generalized anxiety disorder (GAD), panic disorder, specific phobias, and social anxiety disorder (SAD), all marked by fear responses, behavioral avoidance, and heightened nervous arousal in perceived threatening situations (<xref ref-type="bibr" rid="B485">Wu et al., 2025</xref>). Yet, symptomatology is highly variable across individuals, shaped by underlying neurobiological factors. Evidence suggests a widely distributed neural circuit underpinning anxiety disorders, involving interconnected regions such as the amygdala, hippocampus, bed nucleus of the stria terminalis, insula, hypothalamus, anterior cingulate cortex and prefrontal cortex (<xref ref-type="bibr" rid="B118">Drzewiecki and Fox, 2024</xref>). Not all individuals exposed to stress or adversity go on to develop anxiety disorders (<xref ref-type="bibr" rid="B73">Charney, 2003</xref>). Vulnerability factors include early life trauma, poor social support, co-existing medical conditions, genetic predisposition and sex-based differences (<xref ref-type="bibr" rid="B251">Lai and Xiong, 2025</xref>).</p>
<p>Women are nearly twice as likely to develop anxiety disorders, potentially due to enhanced HPA axis activation under stress and modulatory effects of sex hormones on GABAergic and glucocorticoid signaling (<xref ref-type="bibr" rid="B208">Jaggar et al., 2020</xref>). There is a high comorbidity between the anxiety disorders and MDD (<xref ref-type="bibr" rid="B43">Bobo et al., 2022</xref>). Heritability estimates range between 30 and 50%, although genome-wide study results have been inconclusive (<xref ref-type="bibr" rid="B314">Meier et al., 2019</xref>). From a systems perspective, anxiety disorders is characterized by abnormalities in neurotransmitter functions, neurotrophic signaling, the endocannabinoid system and HPA axis function and these alterations are further compounded by chronic inflammation and maladaptive immune responses (<xref ref-type="bibr" rid="B60">Cai et al., 2025</xref>). Interestingly, elevated baseline levels of inflammatory markers such as CRP and IL-6 have been linked to both increased risk and severity of anxiety (<xref ref-type="bibr" rid="B303">Mac Giollabhui et al., 2025</xref>), while epidemiological data show that individuals with inflammatory autoimmune diseases like psoriasis have increased risks of experiencing developing anxiety disorders (<xref ref-type="bibr" rid="B257">Lee et al., 2025</xref>).</p>
</sec>
<sec>
<title>3.3.2 MGBA and anxiety disorders</title>
<p>Emerging evidence highlights the MGBA as a critical contributor to anxiety pathophysiology (<xref ref-type="bibr" rid="B1">Abautret-Daly et al., 2018</xref>). Genetic studies further showed that several loci associated with GI disorder such as IBS, namely <italic>NCAM1, CADM2</italic>, and <italic>PHF2/FAM120A</italic> also correlate with anxiety and mood disorders (<xref ref-type="bibr" rid="B122">Eijsbouts et al., 2021</xref>). Moreover, Mendelian randomization analyses support a causal role for specific gut microbes: Actinobacteria and <italic>Bifidobacterium</italic> taxa appear protective, while <italic>Lactobacillaceae</italic> increase anxiety risk (<xref ref-type="bibr" rid="B251">Lai and Xiong, 2025</xref>). Animal research and scarce human studies confirm these findings, showing that disruptions in microbiota composition or metabolite profiles can induce anxiety-like behaviors via MGBA (<xref ref-type="bibr" rid="B60">Cai et al., 2025</xref>).</p>
<p>Gut microbiota alterations are constantly found in individuals with anxiety disorders (<xref ref-type="bibr" rid="B77">Chen et al., 2019</xref>). For instance, whilst beta diversity (reflecting differences in microbial community composition) is consistently altered across anxiety disorders, alpha diversity patterns show disorder type and sex-specific patterns (<xref ref-type="bibr" rid="B217">Jiang et al., 2018</xref>; <xref ref-type="bibr" rid="B58">Butler et al., 2023</xref>; <xref ref-type="bibr" rid="B241">Kim et al., 2023</xref>). Sex-dependent effects emerged specifically in a large Korean study with anxious population, where men exhibited reduced alpha diversity while women showed no changes (<xref ref-type="bibr" rid="B241">Kim et al., 2023</xref>). However, self-reported anxiety symptoms may limit the generalizability of the findings. Furthermore, a small study with GAD diagnosed patients showed reduced microbial richness among males and females (<xref ref-type="bibr" rid="B217">Jiang et al., 2018</xref>) while SAD patients maintained normal diversity (<xref ref-type="bibr" rid="B58">Butler et al., 2023</xref>). One hypothesis for these observed differences is that biological sex influences gut microbial composition through hormone-regulated immune and metabolic pathways, with sex steroid hormones and sex-linked genetic factors shaping the immune environment and selectively supporting the growth of certain microbial taxa (<xref ref-type="bibr" rid="B208">Jaggar et al., 2020</xref>).</p>
</sec>
<sec>
<title>3.3.3 MGBA mechanisms in anxiety</title>
<p>SCFA producing taxa is depleted in anxiety disorders (<xref ref-type="bibr" rid="B57">Burton et al., 2023</xref>), mirroring patterns observed in other psychiatric conditions (<xref ref-type="bibr" rid="B54">Bruun et al., 2024</xref>). Anxious men showed reduced abundance of butyrate-producing <italic>Lachnospiraceae_NK4A136</italic> (<xref ref-type="bibr" rid="B241">Kim et al., 2023</xref>), which is essential for epithelial barrier integrity and microglial regulation (<xref ref-type="bibr" rid="B129">Erny et al., 2015</xref>). GAD patients demonstrated broader SCFA depletion, with decreased levels of <italic>Faecalibacterium, Eubacterium rectale, Butyricicoccus</italic>, and <italic>Lachnospira</italic>, bacteria integral to maintaining mucosal homeostasis and modulating host-microbiota immune interactions. Interestingly, in the remission state, increased levels of <italic>Faecalibacterium</italic> and <italic>Eubacterium rectale</italic> were observed (<xref ref-type="bibr" rid="B217">Jiang et al., 2018</xref>). Similarly, SAD control group showed an abundance of <italic>Parasutterella</italic>&#x02014;a symbiont that supports intestinal mucosal stability with a potential protective role in anxiety (<xref ref-type="bibr" rid="B58">Butler et al., 2023</xref>; <xref ref-type="bibr" rid="B496">Yao et al., 2023</xref>).</p>
<p>Pro-inflammatory and pathobiont taxa showed disorder-specific enrichment patterns. GAD patients exhibited increased <italic>Bacteroides, Ruminococcus gnavus</italic>, and <italic>Fusobacterium</italic> (<xref ref-type="bibr" rid="B217">Jiang et al., 2018</xref>), with the latter linked to epithelial disruption, gut inflammation and IBS pathogenesis (<xref ref-type="bibr" rid="B521">Zhou, 2016</xref>). Interestingly, about one third of people with IBS have anxiety symptoms, suggesting a potential shared gut&#x02013;brain inflammatory axis between GAD and IBS (<xref ref-type="bibr" rid="B155">Grover et al., 2021</xref>). SAD patients showed enrichment of novel genera <italic>Anaeromassilibacillus</italic> and <italic>Gordonibacter</italic>, whereas <italic>Anaeromassilibacillus</italic> was linked to autism spectrum disorder&#x02014;a condition with high SAD comorbidity (<xref ref-type="bibr" rid="B58">Butler et al., 2023</xref>). Interestingly, the gut metabolic module aspartate degradation I, which converts L-aspartate to oxaloacetate by aspartate aminotransferase, was elevated in SAD patients and the authors hypothesized that bacterial aspartate aminotransferase enzyme activity may represent a link between gut microbiome function and the tryptophan-kynurenine pathway, a key physiological system in psychiatric disorders (<xref ref-type="bibr" rid="B58">Butler et al., 2023</xref>). The tryptophan-kynurenine pathway functions as a stress-activated metabolic system that diverts tryptophan from serotonin synthesis toward kynurenic acid production, which acts as a glutamate receptor antagonist and may contribute to anxiety pathophysiology through altered glutamatergic neurotransmission (<xref ref-type="bibr" rid="B59">Butler et al., 2022</xref>). Despite consistent patterns of SCFA depletion, the heterogeneity in microbial signatures across anxiety subtypes suggests disorder-specific pathophysiological mechanisms. Small sample sizes and different anxiety types limit clinical translation. Future studies should standardize methodological approaches across populations and increase sample sizes.</p>
</sec>
<sec>
<title>3.3.4 MGBA alterations and pathophysiological mechanisms in anxiety</title>
<p>Rodent models of anxiety disorders provide causal evidence that stress exposure disrupts the MGBA, leading to microbiota alterations, compromised gut barrier integrity, immune activation and neurotransmitter imbalance (<xref ref-type="bibr" rid="B33">Bear et al., 2021</xref>). Alterations in the Firmicutes and Bacteroidetes (F/B) ratio&#x02014;a key marker of gut dysbiosis&#x02014;have been reported in male mice exposed to chronic mild stress (CMS; <xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>) and humid heat environment stress models (<xref ref-type="bibr" rid="B477">Weng et al., 2024</xref>) Enrichment of the phylum Proteobacteria was observed across multiple stress paradigms (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>; <xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>). Proteobacteria enrichment in the gut serves as a dysbiosis marker (<xref ref-type="bibr" rid="B399">Shin et al., 2015</xref>). Moreover, 6 weeks of chronic stress also revealed decreased relative abundance of Bacteroidetes and <italic>Deferribacteres</italic> (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>).</p>
<p>Across preclinical anxiety models, there was a consistent enrichment of pathogenic or dysbiosis-associated bacteria. Male mice exposed to CMS for 2 weeks showed increased pathogenic bacteria including <italic>Acinetobacter, Proteus</italic>, and <italic>Enterococcus</italic> (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>). Similarly, chronic stress elevated <italic>Kineothrix alysoides</italic> and <italic>Helicobacter bilis</italic> compared to controls (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>). Similarly, a systematic depletion of beneficial and anti-inflammatory taxa, many of which are involved in SCFA production, was observed in stress-exposed animals. <italic>Lactobacillus murinus, L. intestinalis, L. reuteri</italic>, and <italic>Akkermansia muciniphila</italic> (<xref ref-type="bibr" rid="B477">Weng et al., 2024</xref>). <italic>Oscillibacter, Muribaculum, Roseburia</italic>, and <italic>Alistipes</italic> (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>) as well as <italic>Muribaculum intestinale, Ligilactobacillus murinus, Duncaniella</italic>, and <italic>Prevotella</italic> (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>). These losses occurred irrespective of stress model or duration. These microbial alterations were accompanied by functional impairments, with CMS significantly reducing SCFA production, particularly acetic and propionic acid concentrations (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>).</p>
<p>Anxiety involves MGBA alterations that create cascading pathophysiological changes (<xref ref-type="bibr" rid="B382">Rogers et al., 2016</xref>). Chronic stress activates the HPA axis, resulting in increased cortisol production (<xref ref-type="bibr" rid="B133">Faravelli, 2012</xref>). Mice exposed to chronic unpredictable mild stress (CUMS) for 6 weeks showed increased hypothalamic corticotropin-releasing hormone concentrations, elevated corticosterone levels and increased blood ammonia, which corresponded with anxiety-like behaviors, demonstrating HPA axis involvement in anxiety pathogenesis (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>). Interestingly, Ammonia (a neurotoxic by-product) can impair the nervous system even at low levels and it has been associated with anxiety disorders&#x02014;potentially serving as a biomarker (<xref ref-type="bibr" rid="B120">Duan et al., 2015</xref>). Furthermore, chronic stress impairs inhibitory neurotransmitter systems. Both GABA and serotonin availability declined with reduced receptor expression for GABA<sub>A</sub>&#x003B1;2 and GABAB1&#x003B2; in prefrontal cortex in the 2 week CMS (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>). Dysregulation in these receptors is linked to anxiety behaviors and it may be considered as a potential therapeutic pathway in anxiety treatment (<xref ref-type="bibr" rid="B405">Solati et al., 2013</xref>). Moreover, 6 week exposure to CUMS showed further GABA level reductions in tissues such as hippocampus, blood and feces, suggesting that more widespread neurotransmitter depletion may be stress type and duration dependant (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>). Furthemore, an increased serotonin metabolism was demonstrated by diminished hypothalamic serotonin levels, lowered 5-hydroxytryptamine (5-HT)/tryptophan ratios and elevated 5-hydroxyindoleacetic acid/5-HT ratios, indicating dysregulated serotonergic system (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>). Altered serotonergic signaling is considered a hallmark neurochemical feature of anxiety disorders (<xref ref-type="bibr" rid="B501">Yohn et al., 2017</xref>).</p>
<p>Moreover, chronic stress exposure triggers systemic inflammatory activation through upregulation of pro-inflammatory cytokine cascades (<xref ref-type="bibr" rid="B378">Ravi et al., 2021</xref>). Elevated IL-6 and TNF-&#x003B1; concentrations in CMS exposed mice demonstrate stress-induced inflammatory signaling contribution toward anxiety-like behaviors (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>). Similarly, mice exposed to CUMS for 6 weeks showed an increased interferon-gamma (IFN-&#x003B3;) and decreased anti-inflammatory IL-10 levels, demonstrating anti-inflammatory suppression with further pro-inflammatory activation (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>). Intriguingly, correlation analyses linked microbiota changes to alterations in stress hormones, neurotransmitters, inflammatory markers and anxiety-like behaviors, suggesting a gut&#x02013;brain contribution to the observed behavioral manifestations in anxiety pathology (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>; <xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>; <xref ref-type="fig" rid="F7">Figure 7</xref>).</p>
<fig position="float" id="F7">
<label>Figure 7</label>
<caption><p>Summarizes the known risk factors in anxiety disorders. It demonstrates the various microbiome&#x02013;gut&#x02013;brain signaling pathways that encompass those physiological systems involved in the pathogenesis of anxiety and stress-related conditions (5-HT, 5-hydroxytryptamine; GABA, gamma-aminobutyric acid; SCFA, short-chain fatty acids; HPA, hypothalamic&#x02013;pituitary&#x02013;adrenal axis; FMT, fecal microbiota transplantation; SSRIs, selective serotonin reuptake inhibitors; SNRIs, serotonin and norepinephrine reuptake inhibitors). Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0007.tif">
<alt-text>Illustration showing protective effects and risk factors for anxiety disorders. Protective factors include medication, social support, family communication, reducing sugar intake, and exercise. Risk factors include early trauma, poor social support, medical conditions, genetic predisposition, and mental disorders. The image contrasts healthy (eubiosis) and unhealthy (dysbiosis) gastrointestinal tracts, showing links between gut health and mental health. Labels indicate effects such as improved cognitive function, reduced stress, and changes in HPA function. It suggests interventions like a healthy diet, SSRIs, SNRIs, and psychobiotics.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>3.3.5 Microbiota-based interventions</title>
<sec>
<title>3.3.5.1 Psychobiotics</title>
<p>Psychobiotic interventions targeting the MGBA show promise for reversing stress-induced behavioral and physiological dysfunctions. A 4 week treatment with GABA-producing psychobiotic <italic>Limosilactobacillus reuteri</italic> reversed anxiety-like behaviors and MGBA disruption in male mice (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>). The treatment normalized serum corticosterone levels, enhanced central GABA and serotonin concentrations and reduced peripheral inflammation and gut microbiota profiling revealed a reduction in potentially pathogenic genera (<italic>Acinetobacter, Enterococcus, Bacillus</italic>) and increased abundance of beneficial taxa (<italic>Muribaculum, Alistipes, Lactobacillus</italic>), indicating the therapeutic potential of targeted psychobiotic intervention for stress-related disorders (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>). Interestingly, the treatment demonstrated dose-dependent therapeutic effects, with moderate dosages proving more effective than high doses (1,000 mg/kg), possibly due to pharmacodynamic principles, where excessive concentrations saturate biological pathways and diminish therapeutic outcomes (<xref ref-type="bibr" rid="B442">Tyagi et al., 2025</xref>; <xref ref-type="fig" rid="F7">Figure 7</xref>). However, it is not clear whether the effects were long lasting. In a randomized trial, psychobiotic <italic>Lactobacillus plantarum JYLP-326</italic> administered for 3 weeks reduced anxiety, depression and insomnia symptoms in test-stressed college students (<xref ref-type="bibr" rid="B524">Zhu R. et al., 2023</xref>). 16S rRNA profiling revealed enrichment of SCFA-producing genera <italic>Bifidobacterium</italic> and <italic>Prevotella</italic>, supporting microbiota-mediated MGBA modulation (<xref ref-type="bibr" rid="B524">Zhu R. et al., 2023</xref>). However, the short intervention period and reliance on self-reported outcomes limit translational strength.</p>
</sec>
<sec>
<title>3.3.5.2 Probiotics</title>
<p>In mice model of humid heat&#x02013;induced anxiety, oral administration of probiotic <italic>Lactobacillus murinus</italic> for 14 days significantly reduced anxiety-like behaviors by restoring gut microbiota composition, which further downregulated neuroinflammatory markers (<xref ref-type="bibr" rid="B477">Weng et al., 2024</xref>). Similarly, mice treated with probiotic <italic>Lactiplantibacillus plantarum</italic> D-9 for 14 days showed reversed anxiety-like behaviors (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>). The probiotic restored gut microbial diversity, increasing <italic>L. murinus, L. johnsonii</italic> and OTU richness. It has also regulated tryptophan&#x02013;serotonin metabolism, modulated the HPA axis and shifted inflammatory markers (reduced IL-6, IFN-&#x003B3; and increased IL-10), supporting the effect of probiotic on reducing anxiety-like behavior via MGBA regulation (<xref ref-type="bibr" rid="B215">Jia et al., 2024</xref>).</p>
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<title>3.3.5.3 Dietary interventions</title>
<p>Dietary strategies such as tryptophan supplementation may exert anxiolytic effects through gut brain axis. A tryptophan-rich diet for 35 days reduced anxiety-like behaviors in CUMS through gut&#x02013;brain axis modulation (<xref ref-type="bibr" rid="B477">Weng et al., 2024</xref>). Tryptophan is an essential amino acid obtained solely from the diet and serves as a precursor for serotonin synthesis and it can produce seratonin via tryptophan hydroxylase 1 activity in the intestinal enterochromaffin cells (<xref ref-type="bibr" rid="B213">Jenkins et al., 2016</xref>). Treatment restructured gut microbiota by increasing beneficial <italic>Lachnospiracea, Clostridium, Lactobacillus</italic>, and <italic>Bifidobacterium</italic> while reducing pathogenic <italic>Escherichia</italic>. Tryptophan increased serum 5-HT levels, enhanced brain BDNF expression, reduced neuroinflammation, improved mitochondrial energy metabolism and restored gut barrier integrity by upregulating tight junction proteins (<xref ref-type="bibr" rid="B477">Weng et al., 2024</xref>; <xref ref-type="fig" rid="F7">Figure 7</xref>). Evidence for gut microbiota involvement in anxiety disorders is consistent across human studies and strongly supported by preclinical mechanistic data, with therapeutic interventions showing early promise in randomized controlled trials, yet still requiring a large-scale validation.</p>
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<title>3.4 Post-traumatic stress disorder (PTSD)</title>
<p>Gut microbiota alterations in PTSD are increasingly evident in human cohorts, with consistent depletion of SCFA-producing taxa and enrichment of inflammatory pathobionts, while taxa level signatures vary across geography and trauma type (<xref ref-type="bibr" rid="B23">Bajaj et al., 2019</xref>; <xref ref-type="bibr" rid="B231">Ke et al., 2023</xref>; <xref ref-type="bibr" rid="B500">Yirmiya et al., 2024</xref>; <xref ref-type="bibr" rid="B272">Li Y. I. et al., 2025</xref>). Preclinical PTSD models consistently implicate gut barrier dysfunction, immune&#x02013;inflammatory activation, HPA axis dysregulation and neurotransmitter imbalance as key mechanistic through-lines (<xref ref-type="bibr" rid="B397">Sherin and Nemeroff, 2011</xref>; <xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>; <xref ref-type="bibr" rid="B491">Yadav et al., 2023</xref>). Prebiotic supplementation has shown sex-specific improvement in PTSD symptoms, linked to enhanced SCFA production and gut microbiota modulation in males (<xref ref-type="bibr" rid="B459">Voigt et al., 2025</xref>).</p>
<sec>
<title>3.4.1 Background</title>
<p>PTSD is a chronic neuropsychiatric condition affecting 1.3&#x02013;12.2% of the global population (<xref ref-type="bibr" rid="B196">Hu et al., 2024</xref>). PTSD is triggered by exposure to a traumatic event involving actual or threatened death, injury or sexual violence (<xref ref-type="bibr" rid="B8">Al Jowf et al., 2023</xref>). Remission is achieved by less than 30% of patients and pharmacological interventions remain slow-acting and lack effectiveness (<xref ref-type="bibr" rid="B232">Kelmendi et al., 2016</xref>). Core symptoms span intrusive memories, hyperarousal, avoidance and negative shifts in mood and cognition (<xref ref-type="bibr" rid="B367">Petakh et al., 2024</xref>), yet clinical presentation is highly heterogeneous&#x02014;shaped by trauma type and individual neurobiology (<xref ref-type="bibr" rid="B204">Huckins et al., 2020</xref>). Structural and functional abnormalities in the amygdala, hippocampus and medial prefrontal cortex underlie persistent, overgeneralized fear responses (<xref ref-type="bibr" rid="B170">Harnett et al., 2020</xref>). Not everyone exposed to trauma would develop PTSD. Risk of developing PTSD is influenced by adverse childhood experiences, younger age and socioeconomic disadvantage (<xref ref-type="bibr" rid="B490">Xue et al., 2015</xref>) with prevalence rates twice as high in females than in males (<xref ref-type="bibr" rid="B366">Perrin et al., 2014</xref>). Furthermore, heritability estimates range from 30 to 40% (<xref ref-type="bibr" rid="B146">Girgenti et al., 2021</xref>) with genome-wide studies implicating immune-linked loci such as <italic>ANKRD55</italic> among others (<xref ref-type="bibr" rid="B411">Stein et al., 2016</xref>; <xref ref-type="bibr" rid="B444">Ugidos et al., 2019</xref>). At the systems level, PTSD is characterized by heightened peripheral inflammation, impaired regulatory T cell function (<xref ref-type="bibr" rid="B214">Jergovi&#x00107; et al., 2014</xref>), dysregulation of the HPA axis, neurotransmitter systems and neuroinflammation (<xref ref-type="bibr" rid="B321">Michopoulos et al., 2015</xref>; <xref ref-type="bibr" rid="B11">Aliev et al., 2020</xref>). Elevated pre-existing inflammation has emerged as a predictive factor for PTSD onset. Individuals with high baseline CRP are more likely to develop PTSD symptoms following trauma exposure (<xref ref-type="bibr" rid="B128">Eraly et al., 2014</xref>).</p>
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<title>3.4.2 Microbiome alterations in PTSD patients</title>
<p>A growing body of evidence implicates the MGBA as a key modulator of PTSD vulnerability. Given that gut microbiota regulate immune function and inflammation, both key features of PTSD pathophysiology, this axis represents a promising therapeutic target. Early-life gut microbiota imbalances may predispose individuals to PTSD susceptibility after trauma exposure (<xref ref-type="bibr" rid="B256">Leclercq et al., 2016</xref>). Supporting this hypothesis, PTSD is more prevalent in individuals with GI inflammatory disorders including, IBD and Crohn&#x00027;s disease (<xref ref-type="bibr" rid="B229">Katrinli et al., 2022</xref>; <xref ref-type="bibr" rid="B233">Kent, 2024</xref>). Recent Mendelian randomization findings further validate this framework: <italic>Dorea</italic> and <italic>Sellimonas</italic> appear protective, whereas <italic>Phascolarctobacterium</italic> and <italic>Ruminococcaceae UCG-004</italic> are associated with increased PTSD risk (<xref ref-type="bibr" rid="B177">He et al., 2024</xref>). Multiple clinical studies have characterized the gut microbiome in PTSD patients, revealing patterns of microbial dysbiosis (<xref ref-type="bibr" rid="B182">Hemmings et al., 2017</xref>; <xref ref-type="bibr" rid="B23">Bajaj et al., 2019</xref>; <xref ref-type="bibr" rid="B350">O&#x00027;Hare et al., 2024</xref>; <xref ref-type="bibr" rid="B500">Yirmiya et al., 2024</xref>; <xref ref-type="bibr" rid="B272">Li Y. I. et al., 2025</xref>). An early study found decreased abundance of Actinobacteria<italic>, Lentisphaerae</italic> and Verrucomicrobia in PTSD patients vs. trauma-exposed controls (<xref ref-type="bibr" rid="B182">Hemmings et al., 2017</xref>). Decreased Verrucomicrobia (which includes the beneficial bacterium <italic>Akkermansia muciniphila</italic>, important for gut barrier function) correlated with greater PTSD symptom severity in 26 Iraq/Afghanistan War Veterans from different ethnic backgrounds, though findings were based on self-reported behavioral symptoms (<xref ref-type="bibr" rid="B272">Li Y. I. et al., 2025</xref>).</p>
<p>SCFA-producing bacteria are consistently depleted among PTSD patients along with increased pathobionts indicate a shift toward inflammatory environment. SCFA producing <italic>Lachnospiraceae</italic> and <italic>Ruminococcaceae</italic> were reduced in US combat veterans with cirrhosis and PTSD compared to those without PTSD, together with increased pathobionts <italic>Enterococcus</italic> and <italic>Escherichia/Shigella</italic> (<xref ref-type="bibr" rid="B23">Bajaj et al., 2019</xref>), suggesting these microbial changes may reflect or even exacerbate inflammation-driven psychiatric vulnerability. Moreover, a longitudinal study following war-exposed Israeli children for over 15 years found that clinically diagnosed PTSD youth exhibited significantly lower &#x003B1;-diversity, decreased SCFA-producing bacteria (<italic>Dialister, Eubacterium</italic>) and increased pro-inflammatory pathobionts (<italic>Collinsella, Veillonella</italic>) compared to controls, along with increased nitrate reductase-associated metabolites linked to nitrogen metabolism pathways. Fecal microbiome transplantation from PTSD adolescents into germ-free mice induced significant anxiety behaviors, confirming functional contribution of gut microbiota to psychiatric symptomatology (<xref ref-type="bibr" rid="B500">Yirmiya et al., 2024</xref>). However, the study used only one behavioral test (Elevated Plus Maze). Future studies should employ multiple paradigms to capture the broader spectrum of PTSD-related phenotypes. These findings collectively highlight that PTSD is associated with reproducible patterns of gut dysbiosis, characterized by reduced SCFA-producing taxa and increased inflammatory pathobionts, supporting a functional link between microbial imbalance and psychiatric vulnerability.</p>
<p>Bacteria changes may be linked to geographic location where the study was carried. PTSD-diagnosed South African individuals showed higher levels of <italic>Mitsuokella, Odoribacter, Olsenella</italic>, and <italic>Catenibacterium</italic> compared to controls, positively correlating with childhood trauma severity. Intriguingly, these four genera are found in oral microbiota of patients with periodontitis. The authors hypothesized that early life adversity may alter oral microbiome composition, which can shift to gut via saliva, potentially creating a pro-inflammatory state that increases vulnerability to PTSD following subsequent trauma exposure (<xref ref-type="bibr" rid="B305">Malan-Muller et al., 2022</xref>). <italic>Catenibacterium</italic> was also identified in another South African study with self-assessed PTSD symptoms (<xref ref-type="bibr" rid="B350">O&#x00027;Hare et al., 2024</xref>), indicating potential geographic location-specific associations (<xref ref-type="bibr" rid="B358">Parizadeh and Arrieta, 2023</xref>). Higher levels of <italic>Catenibacterium, Collinsella</italic>, and <italic>Holdemanella</italic> also correlated with higher symptom severity (<xref ref-type="bibr" rid="B350">O&#x00027;Hare et al., 2024</xref>). These bacteria produce lactic acid. Lactate (the ionized active form of lactic acid) has been linked to PTSD through unclear mechanisms. One proposed mechanism is that lactate enhances hippocampal neuronal firing, potentially contributing to panic symptoms (<xref ref-type="bibr" rid="B39">Bergold et al., 2009</xref>). Moreover, elevated <italic>Holdemanella</italic> has been associated with reduced right amygdala and hippocampal volumes (<xref ref-type="bibr" rid="B460">Wanapaisan et al., 2022</xref>) brain regions consistently reduced in PTSD individuals (<xref ref-type="bibr" rid="B37">Ben-Zion et al., 2023</xref>). Future functional studies should assess whether associations between these bacteria concentrations and brain volumes reflect causal relationships. Together, these findings suggest that microbiome shifts associated with trauma exposure and geography may influence PTSD risk by modulating brain structure and neuroinflammatory signaling.</p>
<p>Additional population studies have expanded these findings. Whole-genome sequencing of 191 American nurses identified specific bacterial alterations in self-reported PTSD: increased <italic>ParaBacteroides goldsteinii, Barnesiella intestinihominis</italic>, and <italic>Paraprevotella</italic> unclassified, decreased <italic>Eubacterium eligens</italic> and <italic>Akkermansia muciniphila</italic> (<xref ref-type="bibr" rid="B231">Ke et al., 2023</xref>).</p>
<p>Differences in findings could be attributed to the fact that participants were from different geographic locations, which are known to influence gut microbiota composition through factors such as diet, environment, and lifestyle-potentially contributing to the observed variation. Furthermore, small sample sizes, different trauma types and symptom assessment methods limit clinical translation. Future studies should standardize methodological approaches across populations and increase sample sizes in order to distinguish between geographic and pathological microbiome variations.</p>
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<sec>
<title>3.4.3 Mechanistic insights from preclinical models&#x02014;barrier, immune, and neurotransmitter changes</title>
<p>Rodent models of PTSD provide causal evidence that psychological trauma disrupts the MGBA, leading to microbiota alterations, compromised gut barrier integrity, immune activation and neurotransmitter imbalance. Alterations in the Firmicutes and Bacteroidetes (F/B) ratio&#x02014;a key marker of gut dysbiosis, have been reported in PTSD model rodents, exposed to psychological trauma using Repeated Social Defeat Stress and Single Prolonged Stress (SPS; <xref ref-type="bibr" rid="B519">Zhou et al., 2020</xref>; <xref ref-type="bibr" rid="B491">Yadav et al., 2023</xref>).</p>
<p>Across preclinical PTSD models, there is consistent enrichment of pathogenic or dysbiosis-associated bacteria. For instance, <xref ref-type="bibr" rid="B519">Zhou et al. (2020)</xref> reported elevated levels of <italic>Cyanobacteria</italic> and Proteobacteria in SPS exposed male rats. Similarly, female rats exposed to trauma exhibited increased abundance of <italic>Anaerovorax</italic> and <italic>Flavonifractor</italic>, latter being associated with GABA disruption (<xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>). In male mice, <xref ref-type="bibr" rid="B253">Laudani et al. (2023)</xref> observed elevated <italic>Ruminococcaceae</italic> and <italic>Lachnospiraceae</italic> families&#x02014;taxa known to influence dopaminergic signaling and myelination via production of the neurotoxic metabolite <italic>p</italic>-cresol, a compound implicated in PTSD related neuropathology (<xref ref-type="bibr" rid="B437">Torrisi et al., 2019</xref>; <xref ref-type="bibr" rid="B209">Jak et al., 2020</xref>). Similarly, a systematic depletion of beneficial and anti-inflammatory taxa was observed in trauma exposed animals. In female rats, trauma led to reduced abundance of <italic>Bifidobacterium, Clostridium sensu stricto, Turicibacter</italic>, and <italic>Barnesiella</italic>&#x02014;genera some of which are involved in short-chain fatty acid (SCFA) production and serotonergic (<italic>Turicibacter</italic>) regulation (<xref ref-type="bibr" rid="B253">Laudani et al., 2023</xref>; <xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>) reported reduced levels of Actinobacteria, Proteobacteria, Verrucomicrobia and <italic>Bacteroides</italic> in male mice with PTSD-like behaviors, consistent with findings from human studies linking similar depletions to PTSD symptomatology (<xref ref-type="bibr" rid="B182">Hemmings et al., 2017</xref>). Interestingly, protective baseline microbiome signatures were identified in stress-resilient rodents. Females resilient to trauma exhibited higher pre-trauma levels of <italic>Roseburia, Oscillibacter</italic>, and <italic>Lachnospiraceae</italic>, suggesting that baseline enrichment of SCFA-producing bacteria may confer resistance to PTSD onset (<xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>).</p>
<p>PTSD involves gut&#x02013;brain axis alterations that create cascading pathophysiological effects. Altered regulation of the HPA axis has been observed in PTSD pathology. Female rats exposed to predator-based psychosocial stress exhibited significantly reduced baseline corticosterone levels and enhanced dexamethasone suppression compared to controls, demonstrating that PTSD is characterized by altered HPA axis function (<xref ref-type="bibr" rid="B526">Zoladz et al., 2021</xref>). Furthermore, gut microbiota regulates HPA axis responsiveness. Germ-free mice exhibited exaggerated plasma corticosterone responses compared to specific pathogen-free controls, demonstrating that microbiota regulates HPA axis function (<xref ref-type="bibr" rid="B447">Vagnerov&#x000E1; et al., 2019</xref>). Moreover, psychological trauma compromises gut barrier function and increases inflammation through stress hormone signaling (<xref ref-type="bibr" rid="B397">Sherin and Nemeroff, 2011</xref>). In PTSD mice models, trauma exposure increased tyrosine hydroxylase expression (the rate-limiting enzyme in catecholamine biosynthesis), elevating stress hormones epinephrine and norepinephrine in serum and colon, which upregulated claudin-2 expression, confirming gut barrier dysfunction (<xref ref-type="bibr" rid="B491">Yadav et al., 2023</xref>). Trauma exposure also induces intestinal inflammation (increased CD45<sup>&#x0002B;</sup> leukocytes, CD68<sup>&#x0002B;</sup> macrophages, and CD3<sup>&#x0002B;</sup> T cells and upregulated phosphorylated Stat3 and NF-&#x003BA;B) signaling. This shows the causal pathway whereby psychological trauma compromises gut barrier function and intestinal inflammation through stress hormone signaling. The study hypothesized that pro-inflammatory gut environment further promotes changes in microbiota (<xref ref-type="bibr" rid="B491">Yadav et al., 2023</xref>). Furthermore, significantly elevated branch-chain fatty acids (BCFA), which are metabolic products of protein breakdown have been hypothesized to induce epithelium inflammation (<xref ref-type="bibr" rid="B2">Aguirre et al., 2016</xref>).</p>
<p>These microbial alterations coincided with PTSD symptomatology, BBB dysfunction and hippocampal neuroinflammation, which was confirmed by increased proinflammatory cytokine levels IL-1&#x003B2; and IL-6 (<xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>). Collectively, these studies confirm that PTSD involves gut&#x02013;brain axis disruption.</p>
<p>Alterations in gut microbiota can disrupt neurotransmitter homeostasis, particularly affecting serotonin (5-HT), norepinephrine (NE), and dopamine (DA) systems that are dysregulated in PTSD (<xref ref-type="bibr" rid="B519">Zhou et al., 2020</xref>). Microbial shifts in a PTSD male rat study coincided with a significant decrease in brain 5-HT and increases in DA and NE, indicating a potential hyperaroused state. Spearman correlation analysis linked the microbiota changes to fear- and anxiety-like behaviors, suggesting a gut&#x02013;brain contribution to the observed neurotransmitter imbalance in PTSD rat models (<xref ref-type="bibr" rid="B519">Zhou et al., 2020</xref>). Intriguingly, serotonin regulation may be particular sensitive to the decreased levels of <italic>Turicibacter</italic> (particularly <italic>T. sanguinis</italic>) as this genus influences gut-derived serotonin (<xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>), which is partly controlled by the microbiota (<xref ref-type="bibr" rid="B139">Fung et al., 2017</xref>) and is known contributor to PTSD symptoms (<xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>). Similarly, trauma induced increased <italic>Flavonifractor</italic> may potentially compromise GABA availability, since these bacteria primarily utilize GABA for metabolism (<xref ref-type="bibr" rid="B425">Tanelian et al., 2023</xref>) potentially affecting this key inhibitory neurotransmitter and contributing to anxiety symptoms observed in PTSD (<xref ref-type="bibr" rid="B414">Strandwitz et al., 2018</xref>). Similarly, dopaminergic dysfunction was observed. Male rats with PTSD-like behaviors showed elevated <italic>p</italic>-cresol (a neurotoxic metabolite linked to overgrowth of <italic>Ruminococcaceae</italic> and <italic>Lachnospiraceae</italic>) in prefrontal cortex, leading to dopaminergic dysfunction with increased DA, increased dopamine metabolite 3,4-dihydroxyphenylacetic acid (DOPAC), and significantly elevated DA D3 receptor expression compared to controls (<xref ref-type="bibr" rid="B253">Laudani et al., 2023</xref>). The prefrontal cortex is highly sensitive to DA and even minor fluctuations can impair prefrontal cortex-dependent functions, making it particularly relevant in PTSD, as it plays a central role in suppressing fear responses, regulating stress reactivity, and enabling emotional control (<xref ref-type="bibr" rid="B88">Cools and D&#x00027;Esposito, 2011</xref>). Collectively, these findings demonstrate that psychological trauma initiates a cascade of interconnected MGBA disruptions in PTSD, encompassing HPA axis dysregulation, microbial dysbiosis, compromised gut barrier integrity, chronic inflammation and neurotransmitter imbalances across serotonergic, dopaminergic, and GABAergic systems. Collectively, these findings demonstrate that PTSD arises through a complex interplay of gut dysbiosis, neuroendocrine disruption, immune activation, and altered neurotransmission, firmly implicating the microbiota&#x02013;MGBA in the pathophysiology of trauma-related disorders.</p>
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<title>3.4.4 Gut microbiota-based therapeutic interventions</title>
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<title>3.4.4.1 Probiotics</title>
<p>Therapeutic targeting of the gut&#x02013;brain axis shows promise for PTSD treatment across multiple intervention modalities. A multi-strain probiotic formulation containing <italic>Streptococcus faecalis, Clostridium butyricum, Bacillus mesentericus</italic>, and <italic>Lactobacillus sporogenes</italic>, administered for 14 days reversed PTSD-like behaviors via MGBA restoration in mice (<xref ref-type="bibr" rid="B236">Khan et al., 2025</xref>). Treatment increased beneficial <italic>Bacteroides acidifaciens</italic> and reduced pathogenic <italic>Clostridiales bacterium</italic> and Proteobacteria. It also normalized intestinal permeability, restored cortical BDNF to control levels and significantly improved behavioral parameters in PTSD-model male mice, confirming probiotic efficacy via MGBA modulation. However, the durability of these neuroprotective effects remains unclear, as the study did not evaluate whether benefits persisted after probiotic discontinuation. Future work should adopt longitudinal designs to assess therapeutic effects across temporal windows. Furthermore, an anti-inflammatory probiotic <italic>Lactobacillus reuteri</italic>, administered over 8 weeks reduced CRP and stress-induced heart rate in Veterans with PTSD and mild traumatic brain injury compared to placebo (<xref ref-type="bibr" rid="B52">Brenner et al., 2020</xref>). Given that elevated CRP is a putative predictor of PTSD development (<xref ref-type="bibr" rid="B128">Eraly et al., 2014</xref>) reductions observed may reflect therapeutic potential. However, no significant changes in gut microbiota composition were detected (<xref ref-type="bibr" rid="B52">Brenner et al., 2020</xref>).</p>
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<title>3.4.4.2 Prebiotics</title>
<p>In a male rat model of PTSD-like symptoms induced via amygdala hyperactivation (a key pathophysiological mechanism of PTSD)&#x02212;3 weeks of treatment with the prebiotic GOS restored microbial homeostasis by enriching beneficial <italic>Bifidobacterium animalis</italic> and <italic>Limosilactobacillus reuteri</italic>, while eliminating harmful <italic>Enterococcus casseliflavus</italic> (<xref ref-type="bibr" rid="B384">Ruci&#x00144;ski et al., 2025</xref>). This was accompanied by reduced TNF-&#x003B1; and elevated IL-10, indicating suppressed inflammation and corresponding reductions in anxiety-like behavior. Intriguingly, GOS upregulated IL-10 more effectively than Citalopram, a selective serotonin reuptake inhibitor (<xref ref-type="bibr" rid="B325">Miranda et al., 2025</xref>) highlighting its therapeutic promise via the MGBA pathway. However, sex differences were not assessed, and prebiotic efficacy may vary by sex. Such gender differences were observed in a 12-week clinical trial combining prebiotic supplementation (20 g/day fiber) with CBT, where only men PTSD veterans exhibited increased abundance of SCFA-producing taxa such as <italic>Bifidobacterium</italic> and <italic>Faecalibacterium</italic>, with no microbiota changes observed in female participants (<xref ref-type="bibr" rid="B459">Voigt et al., 2025</xref>). Notably, symptom improvements in prebiotic-treated males persisted at weeks 2 and 12, contrasting with transient effects in placebo-treated males (<xref ref-type="bibr" rid="B459">Voigt et al., 2025</xref>). This sustained benefit aligned with <italic>Bifidobacterium</italic> enrichment in prebiotic recipients, vs. reductions in the placebo group, suggesting that prebiotics may serve as a sex-specific adjunct therapy in PTSD, particularly for males (<xref ref-type="bibr" rid="B459">Voigt et al., 2025</xref>).</p>
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<title>3.4.4.3 Dietary interventions</title>
<p>MeDi interventions also demonstrate efficacy in PTSD management (<xref ref-type="fig" rid="F8">Figure 8</xref>). A 10-week MeDi intervention in World Trade Center responders with PTSD significantly reduced inflammatory markers such as CRP and lessened PTSD symptom severity compared to standard nutritional advice (<xref ref-type="bibr" rid="B14">Arcan et al., 2024</xref>). Similarly, women with higher adherence to the MeDi exhibited greater abundance of the PTSD-protective bacterium <italic>Eubacterium eligens</italic>, a short-chain fatty acid producer from dietary fiber, coinciding with lower PTSD severity, indicating that Mediterranean dietary patterns may support gut-mediated neuroprotection (<xref ref-type="bibr" rid="B231">Ke et al., 2023</xref>). Collectively, evidence for MGBA involvement in PTSD is consistent across human and preclinical studies, with strong mechanistic convergence, while interventional findings, despite early promise, remain preliminary and require validation in larger, controlled trials.</p>
<fig position="float" id="F8">
<label>Figure 8</label>
<caption><p>PTSD severity is linked to gut microbiota imbalances, with increased harmful bacteria and reduced beneficial SCFA producers, influenced by dietary patterns. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0008.tif">
<alt-text>Illustration highlighting the role of gut microbiome in PTSD. It shows symptoms like intrusive thoughts and nightmares, and mentions mainstream treatments such as medication and cognitive behavioral therapy. Harmful gut bacteria species increase in PTSD, while beneficial ones like Eubacterium decrease. A Western diet worsens this, shown with decreased SCFA-producing bacteria, whereas a Mediterranean diet, depicted with diverse foods, increases these beneficial bacteria. The gut-brain axis is illustrated, linking PTSD symptoms with gut bacteria changes.</alt-text>
</graphic>
</fig>
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<title>3.5 Chronic fatigue syndrome (CFS)</title>
<p>A growing body of clinical evidence shows that the gut microbiota plays a critical role in CFS, with consistently observed reductions in butyrate-producing bacteria and enrichment of <italic>Enterobacteriaceae</italic>, together with frequent depletion of anti-inflammatory taxa such as <italic>Faecalibacterium</italic> (<xref ref-type="bibr" rid="B246">K&#x000F6;nig et al., 2021</xref>; <xref ref-type="bibr" rid="B488">Xiong R. et al., 2023</xref>).</p>
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<title>3.5.1 Background</title>
<p>CFS, also known as Myalgic Encephalomyelitis (CFS/ME), is a complex disorder marked by persistent fatigue, cognitive impairment, and a range of physical symptoms that are not alleviated by rest (<xref ref-type="bibr" rid="B246">K&#x000F6;nig et al., 2021</xref>; <xref ref-type="bibr" rid="B465">Wang J.-H. et al., 2024</xref>). The underlying mechanisms are multifactorial and not fully understood, but increasing evidence highlights the gut&#x02013;brain axis and the intestinal microbiome as critical contributors to disease onset and progression (<xref ref-type="bibr" rid="B176">He et al., 2023</xref>; <xref ref-type="bibr" rid="B125">El-Sehrawy et al., 2025</xref>). Recent advances in microbiome research have opened new avenues for prevention and intervention, focusing on how gut microbial communities influence immune, metabolic, and neural pathways relevant to CFS/ME. Taken together, these studies underscore the potential of gut-targeted therapies in managing the multi-systemic symptoms of CFS/ME.</p>
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<sec>
<title>3.5.2 Microbiome alterations and the gut&#x02013;brain axis in CFS/ME</title>
<p>Multiple studies have established that individuals with CFS/ME exhibit significant alterations in their gut microbiome composition compared to healthy controls. Dysbiosis in CFS/ME is characterized by reduced microbial diversity and a shift in the abundance of specific bacterial taxa. For example, patients often have lower levels of anti-inflammatory bacteria such as <italic>Faecalibacterium</italic> and higher proportions of pro-inflammatory species, which may contribute to systemic inflammation and symptom severity (<xref ref-type="bibr" rid="B246">K&#x000F6;nig et al., 2021</xref>; <xref ref-type="bibr" rid="B488">Xiong R. et al., 2023</xref>). A recent meta-analysis confirmed that CFS/ME is associated with distinct gut microbial signatures, including reduced levels of butyrate-producing bacteria and increased abundance of <italic>Enterobacteriaceae</italic> (<xref ref-type="bibr" rid="B224">Jurek and Castro-Marrero, 2024</xref>). These alterations are thought to impact gut barrier integrity and immune function, both of which are implicated in CFS/ME pathophysiology. In CFS/ME, disruptions in this axis are believed to play a central role in the manifestation of fatigue, cognitive dysfunction, and mood disturbances (<xref ref-type="bibr" rid="B246">K&#x000F6;nig et al., 2021</xref>). Microbial metabolites such as SCFAs and tryptophan catabolites can influence brain function directly or via modulation of systemic inflammation. For instance, butyrate, an SCFA produced by certain gut bacteria, supports the integrity of the intestinal barrier and exerts anti-inflammatory effects (<xref ref-type="bibr" rid="B158">Guo et al., 2023</xref>; <xref ref-type="bibr" rid="B224">Jurek and Castro-Marrero, 2024</xref>). Reduced butyrate levels in CFS/ME patients may contribute to increased gut permeability (&#x0201C;leaky gut&#x0201D;), allowing microbial products like LPS to enter the circulation and trigger systemic immune activation (<xref ref-type="bibr" rid="B465">Wang J.-H. et al., 2024</xref>). This immune activation may, in turn, affect the CNS, exacerbating fatigue and cognitive symptoms. This highlights the complexity of host&#x02013;microbe interactions in CFS/ME and underscores the importance of personalized medicine approaches.</p>
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<sec>
<title>3.5.3 Microbial metabolites, immune modulation, and disease progression</title>
<p>Altered microbial metabolism in CFS/ME extends beyond SCFAs. Dysbiosis can affect the kynurenine pathway of tryptophan metabolism, leading to an imbalance in neuroactive metabolites that influence mood, cognition, and pain perception (<xref ref-type="bibr" rid="B176">He et al., 2023</xref>). The gut microbiome modulates the balance of pro- and anti-inflammatory immune responses, which is crucial in light of the chronic low-grade inflammation observed in many CFS/ME patients (<xref ref-type="bibr" rid="B393">Seton et al., 2023</xref>). Recent multi-omics studies have revealed that patients with CFS/ME, especially in early disease stages, display pronounced disruptions in both gut microbial composition and metabolic profiles (<xref ref-type="bibr" rid="B465">Wang J.-H. et al., 2024</xref>). These disruptions include a reduction in SCFA producers and an increase in bacteria associated with inflammation and metabolic endotoxemia, which may serve as potential biomarkers for disease progression and severity. As the disease progresses, some patients may experience a partial restoration of microbial balance (eubiosis); however, this restoration does not consistently correlate with clinical improvement, highlighting the importance of early intervention (<xref ref-type="bibr" rid="B393">Seton et al., 2023</xref>). Moreover, GI comorbidities such as IBS are frequently observed in CFS/ME, further supporting the hypothesis that gut microbiota imbalances are not merely a consequence of illness but may actively contribute to its pathogenesis (<xref ref-type="bibr" rid="B176">He et al., 2023</xref>). In addition, emerging data suggest that specific microbial taxa may be causally linked to CFS/ME risk. For example, reductions in <italic>Ruminococcaceae</italic> and increases in <italic>Paraprevotella</italic> have been associated with greater disease severity (<xref ref-type="bibr" rid="B158">Guo et al., 2023</xref>). Notably, animal models have demonstrated that transferring dysbiotic microbiota from CFS/ME patients to germ-free mice can induce fatigue-like behaviors, supporting a causal role for the microbiome in disease pathogenesis (<xref ref-type="bibr" rid="B26">Bansal et al., 2025</xref>). Taken together, these studies demonstrate that alterations in the gut microbiome and its metabolic products are consistently associated with immune dysregulation and symptom severity in CFS/ME, suggesting that targeting the microbiome may offer promising new avenues for diagnosis and treatment.</p>
</sec>
<sec>
<title>3.5.4 Gut microbiota-based therapeutic interventions</title>
<sec>
<title>3.5.4.1 Probiotics</title>
<p>Given these findings, probiotic supplementation, particularly with strains of <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic>, has shown potential to restore microbial balance, enhance SCFA production, and reduce inflammation in CFS/ME patients (<xref ref-type="bibr" rid="B65">Carrasco-Querol et al., 2024</xref>; <xref ref-type="bibr" rid="B402">Skjevling et al., 2024</xref>). Furthermore, multistrain protocols, including <italic>Saccharomyces boulardii</italic> and <italic>Lactobacillus acidophilus</italic>, have demonstrated reductions in fatigue and improvements in cognition and mood (<xref ref-type="bibr" rid="B49">Bourgonje et al., 2024</xref>; <xref ref-type="bibr" rid="B409">Stallmach et al., 2024</xref>). Synbiotics, combinations of probiotics and prebiotics, are also promising. For instance, randomized controlled trial using a synbiotic formulation containing <italic>Lacticaseibacillus rhamnosus, Lactiplantibacillus plantarum, Bifidobacterium lactis, Bifidobacterium longum</italic>, fructo-oligosaccharides, and zinc showed significant reductions in post-exertional malaise and increased brain metabolites in post-COVID-19 CFS patients (<xref ref-type="bibr" rid="B452">Varesi et al., 2021</xref>; <xref ref-type="bibr" rid="B194">Hsu et al., 2025</xref>).</p>
</sec>
<sec>
<title>3.5.4.2 Dietary intervention</title>
<p>Dietary patterns rich in plant-based fibers, polyphenols, and fermented foods support a diverse and resilient microbiome. Several studies have reported symptomatic improvements in CFS/ME patients who adopt Mediterranean-style diets or increase their intake of prebiotic-rich foods (<xref ref-type="bibr" rid="B243">Kitami et al., 2020</xref>; <xref ref-type="bibr" rid="B300">Lupo et al., 2021</xref>). Conversely, high-fat, low-fiber diets are associated with worsened dysbiosis and increased inflammation.</p>
</sec>
<sec>
<title>3.5.4.3 Prevention and intervention</title>
<p>A key consideration is that overuse of antibiotics, particularly in childhood, can disrupt the developing microbiome and may increase susceptibility to CFS/ME later in life. Preventive strategies should emphasize prudent antibiotic use (<xref ref-type="bibr" rid="B377">Ranisavljev et al., 2024</xref>). Additionally, therapeutic approaches targeting microbial metabolites, such as SCFA supplementation or modulation of tryptophan metabolism, are under investigation and may offer novel preventive or therapeutic options (<xref ref-type="bibr" rid="B49">Bourgonje et al., 2024</xref>; <xref ref-type="bibr" rid="B409">Stallmach et al., 2024</xref>). Thus, harnessing these microbial interventions could significantly shift the paradigm of CFS/ME prevention and management. Despite robust associations between the microbiome and CFS/ME, causality is difficult to establish due to confounding factors such as diet, medication use, and reduced physical activity. The heterogeneity of CFS/ME, encompassing genetic, environmental, and microbial influences, necessitates a multidisciplinary and individualized approach to therapy (<xref ref-type="bibr" rid="B386">Sampson, 2023</xref>; <xref ref-type="bibr" rid="B445">Uhde et al., 2023</xref>). There is a pressing need for standardized diagnostics and longitudinal studies to clarify the temporal relationship between microbiome changes and disease onset, as well as to identify reliable microbial or metabolic biomarkers for early detection and targeted intervention (<xref ref-type="bibr" rid="B98">Dai et al., 2024</xref>; <xref ref-type="bibr" rid="B286">Liu T. et al., 2024</xref>). Looking ahead, the MGBA represents a promising frontier in both the prevention and management of CFS/ME. Ongoing research into the specific microbial and metabolic pathways involved will be crucial for developing effective, evidence-based interventions that can improve the quality of life for individuals affected by this challenging disorder (<xref ref-type="bibr" rid="B456">Vogl et al., 2022</xref>; <xref ref-type="bibr" rid="B125">El-Sehrawy et al., 2025</xref>; <xref ref-type="bibr" rid="B206">Iqbal et al., 2025</xref>).</p>
</sec>
</sec>
</sec>
<sec>
<title>3.6 Stroke and post-stroke cognitive impairment (PSCI)</title>
<p>Post-stroke patients show gut dysbiosis with reduced microbial diversity, increased pro-inflammatory bacteria, and decreased levels of SCFA-producing bacteria such as <italic>Faecalibacterium</italic> (<xref ref-type="bibr" rid="B499">Yin et al., 2015</xref>). Changes are quite likely more related to increased systemic inflammation, BBB disruption, and cognitive outcome deterioration (<xref ref-type="bibr" rid="B400">Silva et al., 2020</xref>). Gut microbiota changes are linked to stroke outcomes, with mechanisms involving immune and inflammatory pathways; though interventions are in early stages, they represent a promising future direction.</p>
<sec>
<title>3.6.1 Background</title>
<p>Stroke is a leading cause of adult-onset neuropsychiatric and neurodegenerative disability, with substantial global prevalence and profound long-term consequences (<xref ref-type="bibr" rid="B123">Elendu et al., 2023</xref>). PSCI affects a significant proportion of survivors, manifesting as deficits in memory, executive function, and attention that markedly diminish quality of life and functional independence. In addition to well-established cerebrovascular and inflammatory mechanisms, emerging research highlights the gut microbiota&#x00027;s role in shaping stroke outcomes through the MGBA, influencing neuroinflammation, BBB integrity, and neuronal recovery (<xref ref-type="bibr" rid="B462">Wang et al., 2023a</xref>). This chapter will examine how stroke and PSCI are increasingly understood within the context of gut&#x02013;brain interactions, and explore potential opportunities for intervention by targeting gut dysbiosis to improve neurological recovery and cognitive health.</p>
</sec>
<sec>
<title>3.6.2 Gut&#x02013;brain axis alterations in stroke</title>
<p>Growing evidence reveals that stroke not only disrupts CNS homeostasis but also profoundly alters the MGBA, leading to bidirectional interactions that can exacerbate neuroinflammation and hinder recovery. A systematic review of 18 studies highlighted the critical role of aging, inflammation, and shifts in gut microbiota, particularly involving Firmicutes, Bacteroidetes, SCFAs, and TMAO, in the pathogenesis and outcomes of ischemic stroke. This underscores how microbiome alterations may both predispose individuals to stroke and influence recovery (<xref ref-type="bibr" rid="B263">Lee Y. T. et al., 2021</xref>). These findings collectively suggest that restoring gut microbial balance could become an integral component of stroke prevention and recovery strategies. In a mouse model of ischemic stroke, <xref ref-type="bibr" rid="B36">Benakis et al. (2016)</xref> demonstrated that antibiotic-induced alterations of the gut microbiota significantly reduced brain infarct size. This neuroprotection was associated with increased intestinal regulatory T cells and reduced IL-17&#x02013;producing &#x003B3;&#x003B4; T cells, ultimately suppressing the trafficking of pro-inflammatory T cells from the gut to the leptomeninges after stroke. Their findings highlight a crucial MGBA in which intestinal immune modulation directly influences the severity of ischemic brain injury (<xref ref-type="bibr" rid="B36">Benakis et al., 2016</xref>). <xref ref-type="bibr" rid="B401">Singh et al. (2016)</xref> demonstrated in mouse models of middle cerebral artery occlusion that large ischemic strokes induce gut dysbiosis characterized by reduced diversity and Bacteroidetes overgrowth, leading to intestinal barrier dysfunction. Transplanting this dysbiotic microbiota into germ-free mice worsened stroke outcomes by driving proinflammatory T-cell responses and promoting lymphocyte migration to the injured brain. These findings underscore a bidirectional brain&#x02013;gut&#x02013;immune axis in stroke pathology (<xref ref-type="bibr" rid="B401">Singh et al., 2016</xref>). These mechanistic studies emphasize that targeting gut-driven immune responses could modulate neuroinflammation and improve stroke outcomes. Dysbiosis-driven disruptions of the MGBA have been implicated in both the development of common stroke risk factors, such as obesity, diabetes, and atherosclerosis, and in poorer recovery post-stroke, with age-related changes further compounding MGBA dysfunction (<xref ref-type="bibr" rid="B186">Honarpisheh et al., 2022</xref>). Recent research underscores that stroke-induced gut dysbiosis not only increases intestinal permeability and triggers systemic inflammation, but also facilitates translocation of microbes and immune cells across a compromised BBB, exacerbating neural injury; paradoxically, certain gut-derived metabolites may help limit post-stroke inflammation and support neurorepair (<xref ref-type="bibr" rid="B198">Hu et al., 2022</xref>). This highlights the complex bidirectional relationship between the gut microbiota and stroke pathology. Gut microbiota-derived metabolites, particularly SCFAs like butyrate and acetate, play critical roles in maintaining metabolic and immune homeostasis, with dysbiosis-linked alterations implicated in the pathophysiology of numerous neurological disorders including stroke, AD, and PD (<xref ref-type="bibr" rid="B327">Mirzaei et al., 2021</xref>). Emerging evidence suggests that modulation of SCFA production may offer therapeutic avenues for neuroinflammatory and neurodegenerative conditions. Together, these insights point toward microbiota-centered interventions&#x02014;including strategies to enhance SCFA production&#x02014;as promising approaches to mitigate neuroinflammation and promote brain recovery. In summary, growing evidence underscores that gut microbiota dysbiosis plays a pivotal role in both the development and outcome of ischemic stroke through immune, barrier, and metabolic pathways, suggesting that restoring gut microbial balance could become an essential strategy for stroke prevention and recovery.</p>
</sec>
<sec>
<title>3.6.3 Mechanisms linking gut dysbiosis to PSCI</title>
<sec>
<title>3.6.3.1 Neuroinflammation</title>
<p>Gut dysbiosis and increased intestinal permeability following ischemic stroke (IS) have been linked to systemic endotoxemia and altered microbial metabolite signaling, potentially exacerbating neuroinflammation and injury (<xref ref-type="bibr" rid="B509">Zhang W. et al., 2023</xref>). <xref ref-type="bibr" rid="B499">Yin et al. (2015)</xref> demonstrated that patients with large-artery atherosclerotic ischemic stroke and transient ischemic attack (TIA) exhibited significant gut dysbiosis, characterized by increased opportunistic pathogens (e.g., <italic>Enterobacter, Megasphaera, Desulfovibrio</italic>) and reduced beneficial genera like <italic>Bacteroides</italic> and <italic>Faecalibacterium</italic>. Despite clear microbial shifts correlating with disease severity, these patients had lower plasma TMAO levels than asymptomatic controls, suggesting a complex interplay between gut microbiota composition and metabolic risk pathways. These findings highlight that gut microbial alterations, beyond just TMAO elevation, may contribute to cerebrovascular disease progression (<xref ref-type="bibr" rid="B499">Yin et al., 2015</xref>). Recent insights into the gut&#x02013;brain and lung&#x02013;brain axes highlight how abnormal intestinal microbiota, altered mucosal immunity, and even lung complications can exacerbate neuroinflammation and worsen outcomes after ischemic stroke (<xref ref-type="bibr" rid="B487">Xie et al., 2024</xref>). This underscores the complex bidirectional interplay between peripheral organs and the brain following stroke, mediated through immune and barrier mechanisms. For instance, it has been demonstrated in a mouse model of ischemic stroke that gut-derived bacteria can translocate to the lungs, leading to post-stroke infections. Using high-throughput 16S rRNA sequencing, <xref ref-type="bibr" rid="B410">Stanley et al. (2016)</xref> showed that stroke-induced gut barrier dysfunction preceded the dissemination of specific intestinal bacteria to peripheral tissues, highlighting a novel gut&#x02013;lung axis in stroke pathology. These findings collectively emphasize that gut dysbiosis, increased intestinal permeability, and even gut&#x02013;lung microbial translocation can amplify neuroinflammation and worsen ischemic stroke outcomes, underscoring the need to consider the gut&#x02013;brain&#x02013;lung axis as a potential target for improving stroke prognosis.</p>
</sec>
<sec>
<title>3.6.3.2 Microbial metabolites</title>
<p>A substantial body of research highlights the role of gut microbiota and their metabolites, particularly SCFAs, in regulating metabolic, endocrine, and immune functions, with emerging evidence pointing to their involvement in neuro-immunoendocrine pathways through the MGBA (<xref ref-type="bibr" rid="B400">Silva et al., 2020</xref>). However, the precise mechanisms by which SCFAs influence brain physiology and behavior remain to be fully clarified, underscoring a promising avenue for developing novel CNS therapies. Longitudinal studies in spontaneously hypertensive stroke-prone have demonstrated that gut dysbiosis precedes the onset of hypertension and is marked by shifts in bacterial community structure and altered tryptophan-kynurenine metabolism, implicating microbial pathways in the early development of hypertension and related neurovascular complications (<xref ref-type="bibr" rid="B398">Shi et al., 2022</xref>). These findings suggest a potential mechanistic link between gut microbiota, systemic inflammation, and BBB vulnerability in stroke models.</p>
</sec>
<sec>
<title>3.6.3.3 Immune modulation</title>
<p>Long-term use of proton pump inhibitors (PPI), while effective for acid-related disorders, has been shown to alter gut microbiota composition and increase the risk of infections such as SIBO and C. difficile, with emerging evidence suggesting that probiotic supplementation may help mitigate these adverse effects (<xref ref-type="bibr" rid="B237">Kiecka and Szczepanik, 2023</xref>). Emerging evidence suggests that microglia, as key neuroimmune modulators within the CNS, influence the incidence and progression of cardiovascular diseases, including hypertension, myocardial infarction, and ischemia/reperfusion injury, through mechanisms potentially linked to altered autonomic nervous system activity (<xref ref-type="bibr" rid="B468">Wang M. et al., 2022</xref>). These findings highlight microglia as promising therapeutic targets at the intersection of neuroinflammation and cardiovascular pathology. This highlights the need to consider gut microbial balance when evaluating prolonged PPI therapy. Recent experimental studies demonstrate that stabilizing mast cells with cromolyn after ischemic stroke reduces peripheral and central inflammation, preserves gut barrier integrity, mitigates dysbiosis, and improves functional outcomes, underscoring the pivotal role of gut-derived mast cells and histamine in post-stroke neuroinflammation (<xref ref-type="bibr" rid="B87">Conesa et al., 2023</xref>). These findings highlight an emerging gut&#x02013;immune&#x02013;brain pathway that may be targeted to improve stroke recovery.</p>
</sec>
</sec>
<sec>
<title>3.6.4 Interventions</title>
<sec>
<title>3.6.4.1 Probiotics</title>
<p>Gut dysbiosis has been increasingly recognized as a contributor to cardiovascular disease (CVD) pathogenesis through mechanisms involving systemic inflammation and metabolic disruption, with probiotics and prebiotics emerging as promising strategies to restore microbiota balance and improve cardiovascular markers such as LDL cholesterol and high-sensitivity C-reactive protein (hs-CRP; <xref ref-type="bibr" rid="B481">Wu and Chiou, 2021</xref>). This highlights the potential of microbiota-targeted interventions to mitigate CVD risk by maintaining immune and metabolic homeostasis. In a randomized, double-blind, placebo-controlled trial, daily supplementation with <italic>Lactobacillus plantarum</italic> ECGC 13110402 for 12 weeks in adults with moderate hypercholesterolemia resulted in a significant reduction in LDL cholesterol and hs-CRP compared to placebo, suggesting a direct benefit of probiotics on cardiovascular risk markers in humans (<xref ref-type="bibr" rid="B90">Costabile et al., 2017</xref>). Additionally, in a mouse model of ischemic stroke, administration of the prebiotic Puerariae Lobatae Radix-resistant starch (PLR-RS) improved neurological outcomes by restoring gut microbiota balance, enhancing gut barrier function, and increasing melatonin production. FMT from PLR-RS&#x02013;treated mice to stroke mice reproduced these protective effects, highlighting a gut microbiota&#x02013;melatonin axis as a therapeutic mechanism (<xref ref-type="bibr" rid="B520">Zhou et al., 2023</xref>). The gut microbiome, shaped by genetic, environmental, and lifestyle factors, plays a crucial role in immune, metabolic, and neural development, with dysbiosis increasingly implicated in the pathogenesis of neurological disorders such as stroke, PD, and AD (<xref ref-type="bibr" rid="B406">Sorboni et al., 2022</xref>). In a mouse model of AD, probiotic treatment with Lactobacillus and Bifidobacterium strains improved cognitive function and reduced amyloid-beta deposition, supporting a neuroprotective role of gut microbiota modulation (<xref ref-type="bibr" rid="B45">Bonfili et al., 2020</xref>). Growing evidence also supports microbiota-targeted interventions&#x02014;including probiotics, prebiotics, synbiotics, and FMT&#x02014;as promising therapeutic and diagnostic avenues in these conditions.</p>
</sec>
<sec>
<title>3.6.4.2 Dietary interventions</title>
<p>Stroke not only causes direct brain injury but also induces systemic changes including gut dysbiosis and impaired intestinal barrier function, which can contribute to infection risk and influence stroke severity and recovery. Clinical and experimental studies reveal altered gut microbial diversity and metabolite profiles&#x02014;such as elevated trimethylamine N-oxide and reduced short-chain fatty acids&#x02014;highlighting the gut microbiota as a promising therapeutic target in stroke prevention and treatment (<xref ref-type="bibr" rid="B363">Peh et al., 2022</xref>). A cross-sectional analysis found that MeDi adherence was associated with increased gut microbial diversity and higher levels of short-chain fatty acids, metabolites linked to reduced inflammation and improved vascular health (<xref ref-type="bibr" rid="B101">De Filippis et al., 2016</xref>). Numerous studies have demonstrated that adherence to a MeDi, rich in diverse nutrients and phytochemicals, exerts anti-inflammatory, antioxidant, and anti-atherosclerotic effects, thereby lowering cardiovascular and cerebrovascular risk (<xref ref-type="bibr" rid="B441">Tuttolomondo et al., 2019</xref>). Growing evidence indicates that dietary herbs can modulate gut microbiota composition and generate bioactive metabolites that mitigate inflammation, oxidative stress, and apoptosis following stroke, underscoring a promising gut-mediated mechanism for herbal interventions (<xref ref-type="bibr" rid="B271">Li X. et al., 2025</xref>). This highlights the potential of gut microbiota&#x02013;herb interactions in developing novel therapeutic and preventive strategies for stroke. In a rat model of ischemic stroke, administration of the herbal compound Salvia miltiorrhiza extract modulated gut microbiota composition, reduced infarct size, and decreased markers of inflammation and oxidative stress, indicating a gut-mediated neuroprotective effect (<xref ref-type="bibr" rid="B482">Wu J. et al., 2022</xref>). Polyphenols, widely consumed plant-derived compounds, have demonstrated protective effects on the cardiovascular and cerebrovascular systems, with emerging evidence from preclinical stroke models highlighting their neuroprotective potential, even when administered post-stroke (<xref ref-type="bibr" rid="B361">Parrella et al., 2020</xref>). These findings support the exploration of polyphenols not only in stroke prevention but also as adjuncts to enhance post-stroke recovery.</p>
<p>Animal models show microbiota modulation improves neuroinflammatory responses and functional outcomes. Human data are exploratory, but microbiota-targeted therapies like probiotics or dietary interventions could potentially support post-stroke recovery and cognitive health.</p>
</sec>
</sec>
</sec>
<sec>
<title>3.7 Radiation-induced neurotoxicity and MGBA disruption</title>
<sec>
<title>3.7.1 Background</title>
<p>Radiation therapy (RT) has redefined the management principles of several types of cancer at various stages, whether a primary neoplasm or metastatic lesion. Although it is effective in targeting cancer cells, it can alter many other tissues like CNS and GI tissue (<xref ref-type="bibr" rid="B22">Bai et al., 2021</xref>). The MGBA represents the mutual communication system between the GI tract and the CNS, using various mediators like neural and endocrine signals (<xref ref-type="bibr" rid="B495">Yang Q. et al., 2023</xref>). Recent evidence shows that gut microbiota plays a significant role in maintaining homeostasis and regulating the MGBA, which influences the neural and GI responses to RT (<xref ref-type="bibr" rid="B22">Bai et al., 2021</xref>). This review focuses on the relationship between gut microbiota, MGBA, and RT, highlighting the microbiota&#x00027;s potential to influence RT-induced neural and intestinal side effects.</p>
</sec>
<sec>
<title>3.7.2 MGBA disruption by RT</title>
<p>Using RT in the abdomino-pelvic region can cause gut dysbiosis, due to the reduction of Firmicutes and Bacteroidetes species accompanied by the surge in Proteobacteria species. This imbalance is strongly linked to the breakdown of the mucosal barrier and high systemic LPS levels (<xref ref-type="bibr" rid="B466">Wang L. et al., 2021</xref>). The microbial translocation through the disrupted tight junctions of GI cells promotes systemic inflammation and can alter the BBB or cause other direct CNS effects via the Vagus nerve. Clinically, RT patients often report neuropsychological symptoms such as depression and fatigue, which may be mediated by microbiota-induced BBB dysfunction (<xref ref-type="bibr" rid="B287">Liu X. et al., 2024</xref>).</p>
<p><xref ref-type="bibr" rid="B454">Venkidesh et al. (2023)</xref> did a pivotal experiment on rats using a 6 Gy pelvic irradiation causing a significant decrease in the microbiota&#x00027;s diversity, impaired GI morphology, neuroinflammation, and neuronal cell death. Moreover, they documented reduced hippocampal plasticity genes&#x02014;alongside a change in the rodents behavior (<xref ref-type="bibr" rid="B454">Venkidesh et al., 2023</xref>). This study showed that pelvic irradiation can substantially promote pyknosis in the neurons of DG and CA2 regions of the hippocampus, which strongly supports that pelvic irradiation can cause memory and cognitive effects indirectly. Similarly, another study conducted by suggest that the use of antibiotics before cranial irradiation can be a contraindication. The study shows that applying cranial RT to mice after the administration of antibiotics reduced cytokine expression, especially IL-1&#x003B2; and TNF-&#x003B1; in the hippocampus and preserved cognitive functions (<xref ref-type="bibr" rid="B299">Luo et al., 2022</xref>). The authors believe that the transmigration of some of the SCFA bacteria, like the Firmicutes and Bacteroidetes species across the damaged tight junctions may exacerbate radiation-induced neurotoxicity (<xref ref-type="bibr" rid="B299">Luo et al., 2022</xref>).</p>
</sec>
<sec>
<title>3.7.3 The role of microbiota in gut&#x02013;brain communication</title>
<p>The gut microbiota produces key metabolites, such as SCFAs, neurotransmitter precursors, and tryptophan catabolites, which all influence the CNS. Butyrate and propionate, subtypes of SCFAs, are produced by anabolic commensals, such as <italic>Faecelibacterium</italic> and <italic>Roseburia</italic>, when they ferment dietary fiber (<xref ref-type="bibr" rid="B466">Wang L. et al., 2021</xref>). Butyrate has anti-inflammatory properties and serves as an epigenetic regulator by activating G-protein coupled receptors (GPR41 and GPR43) and inhibiting histone deacetylase activity (<xref ref-type="bibr" rid="B119">Du et al., 2024</xref>). Moreover, an experiment on rodents found that providing Butyrate supplementation effectively reduced hippocampus inflammation and preserved hippocampal neurogenesis following RT exposure (<xref ref-type="bibr" rid="B260">Lee et al., 2019a</xref>). Furthermore, species like <italic>Bifidobacterium longum</italic> have been shown to produce tryptophan metabolites that influence serotonergic signaling (<xref ref-type="bibr" rid="B435">Tian et al., 2019a</xref>), whereas <italic>Lactobacillus</italic> Spp. synthesize Gamma-aminobutyric acid (GABA), a crucial inhibitory neurotransmitter (<xref ref-type="bibr" rid="B516">Zheng et al., 2023</xref>). This suggests that any disruption of the microbial functions following RT may contribute to some neuropsychological symptoms like fatigue, depression, and cognitive dysfunction (<xref ref-type="bibr" rid="B511">Zhang Y. et al., 2023</xref>).</p>
<p>The MGBA can be influenced by many other microbial-derived metabolites, not only SCFAs (<xref ref-type="bibr" rid="B107">Deng et al., 2024</xref>). One example is indole-3-propionic acid (IPA), which is one of the iodole derivatives produced by the gut bacteria during tryptophan catabolism. IPA exhibits neuroprotective effects via activation of the aryl hydrocarbon receptor (AhR; <xref ref-type="bibr" rid="B486">Xiao et al., 2020</xref>). In preclinical models, IPA has been shown to enhance the expression of tight junction proteins in the BBB, reduce the severity of neuroinflammation, and preserve cognitive performance after CNS injury (<xref ref-type="bibr" rid="B107">Deng et al., 2024</xref>). In the radiation setting, any depletion in the IPA-producing species (e.g., <italic>Clostridium</italic> Spp. and <italic>Peptostreptococcus</italic>) strongly links to behavioral defects and the rise in pro-inflammatory cytokines in the CNS (<xref ref-type="bibr" rid="B479">Wlodarska et al., 2017</xref>; <xref ref-type="bibr" rid="B486">Xiao et al., 2020</xref>). Other microbial metabolites, like lactate and secondary bile, have the ability to modulate the neuroinflammatory response and influence synaptic plasticity, even though their roles in the post-radiation pathologies are still unspecified. Overall, microbially produced metabolites act as potent CNS regulators, either by modulating the vagus signaling and systemic immunity or by directly crossing the BBB (<xref ref-type="bibr" rid="B107">Deng et al., 2024</xref>). Understanding these complex interactions will open the gates to more promising therapeutic venues to enhance the overall quality of life of patients undergoing RT.</p>
</sec>
<sec>
<title>3.7.4 Radiation-induced injuries and microbial mediation</title>
<p>Radiation-induced injuries initiate local and systemic responses, which are closely related to the gut microbiome&#x00027;s integrity. <xref ref-type="bibr" rid="B470">Wang Q. et al. (2025)</xref> found that the relation between gut microbiota and radiation-induced injuries could be direct and indirect. Direct interactions are related primarily to gut radiation and microbiota homeostasis, while indirect interactions are more related to other axes, like the MGBA. Pre-clinical studies done on C57BL/6J mice using total body irradiation (9 Gy) found that radiation reduced &#x003B1;-diversity of gut microbiota, while urolithin A (UroA), a gut microbial metabolite, helps in alleviating radiation-induced apoptosis in intestinal cells by suppressing P53 signaling pathway (<xref ref-type="bibr" rid="B510">Zhang et al., 2021c</xref>; <xref ref-type="bibr" rid="B470">Wang Q. et al., 2025</xref>). This explains that the direct relationship between the gut microbiota and radiation-induced injuries is based on microbial homeostasis (<xref ref-type="fig" rid="F9">Figure 9</xref>). Also, clinical studies done on patients with cervical cancer using pelvic radiation explained that Firmicutes-Proteobacteria ratio (F/P) reflects the severity of radiation toxicity, where it showed that patients with chronic radiation enteritis exhibited a reduction in Firmicutes and an increase in Proteobacteria. Moreover, the same study found that patients with severe enteritis showed high abundance of <italic>Shigella</italic> and <italic>Lachnospiraceae Clostridium</italic>. This supports a direct interaction, although their underlying mechanisms are still in the early stages of investigation and further studies with larger sample sizes or validation are required (<xref ref-type="bibr" rid="B470">Wang Q. et al., 2025</xref>).</p>
<fig position="float" id="F9">
<label>Figure 9</label>
<caption><p>Ionizing radiation disrupts gut microbiota balance by decreasing beneficial bacteria and increasing harmful species, which damages the gut barrier and triggers inflammation and immune activation. This disturbance in the gut&#x02013;brain axis leads to neural cell death and cognitive impairments. Interventions such as probiotics and FMT can help restore microbial balance and support gut and brain health. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0009.tif">
<alt-text>Diagram illustrating the effects of ionizing radiation on the gut and brain. Ionizing radiation leads to gastrointestinal dysbiosis, altering bacteria levels and impairing the gut barrier. This results in inflammation, increased harmful bacteria, and decreased beneficial bacteria. In the gut, short-chain fatty acids, lipopolysaccharides, and immune cells such as macrophages, neutrophils, and natural killer cells respond. In the brain, radiation causes blood-brain barrier disruption, cognitive impairments, astrocyte senescence, and neural cell death. Targeted treatments like antibiotics and microbiota transplantation are potential interventions. The process involves various cytokines and immune responses indicated by arrows.</alt-text>
</graphic>
</fig>
<p>Several pre-clinical studies illustrated the indirect interactions between gut microbiota and radiation injuries, especially brain injuries via the MGBA. A preclinical study used C57BL/6 J mice exposed to head radiation found that the predominet components of the subjects&#x00027; gut microbiota following radiation were <italic>Bacteroidales, Muribaculaceae, Erysipelotrichales</italic>, and <italic>Ruminococcus</italic>. Gut microbiota-derived metabolites, like SCFAs, were shown to play a pivotal role in the MGBA by elevating pro-inflammatory cytokines in the subjects&#x00027; blood, worsening radiation-induced brain injury (<xref ref-type="bibr" rid="B299">Luo et al., 2022</xref>; <xref ref-type="bibr" rid="B195">Hu et al., 2023</xref>; <xref ref-type="bibr" rid="B470">Wang Q. et al., 2025</xref>). Another pre-clinical study done on C57BL/6J mice using abdominal irradiation (10 Gy) found that the expression level of miR-34a-5p in the small intestine tissue and peripheral blood significantly increased, which mediated distant cognition impairment. Cognitive functions can be maintained by intravenous administration of miR-34a-5p antagomic immediately post-radiation, which blocks miR-34a-5p upregulation in peripheral blood, resulting in restoring the hippocampal expression of BDNF (<xref ref-type="bibr" rid="B95">Cui et al., 2017a</xref>; <xref ref-type="bibr" rid="B470">Wang Q. et al., 2025</xref>).</p>
</sec>
<sec>
<title>3.7.5 Host-microbiota immune crosstalk during radiation exposure</title>
<p>The communication between microbial dynamics and the host&#x00027;s immune system play a major role in determining the strength of the systemic inflammation during RT. Ionizing radiation has been proven to increase the expression of TLR on intestinal epithelial and immune cells, making them more sensitive to microbial ligands like LPS ad flagellins. In radiation settings, upregulated expression of TLR4 enhances the sensitivity and response to Proteobacteria-derived ligands, amplifying downstream NF-&#x003BA;B signaling and cytokine secretion (<xref ref-type="bibr" rid="B294">Lu et al., 2020</xref>). Recent experiments showed a surge in IL-6, IL-1&#x003B2;, and TNF-&#x003B1; levels within irradiated mice serum, which is revoked in MyD88-deficient animals. This highlights the importance of the innate immune system responses in driving systemic inflammation following RT. Simultaneously, the upregulation of co-stimulatory molecules (CD80/86) of dendritic cells conditioned in the irradiated gut mucosa suggests a pro-inflammatory antigen-presenting phenotype. The previous interactions contribute to the activation of the peripheral immune system and primes CNS microglia, creating a neuroinflammatory environment that aggravate behavioral deficits (<xref ref-type="bibr" rid="B307">Manda et al., 2012</xref>; <xref ref-type="bibr" rid="B480">Wolff et al., 2021</xref>). Notably, certain commensals, like <italic>Clostridium</italic> cluster XIVa and segmented filamentous bacteria, have the ability to push the host immune system toward regulatory responses via regulatory Treg expansion and IL-10 production (<xref ref-type="bibr" rid="B20">Atarashi et al., 2011</xref>). Deficiency in these taxa following RT is significantly connected with prolong tissue injury and impaired mucosal tolerance (<xref ref-type="bibr" rid="B438">Touchefeu et al., 2014</xref>). These findings show that microbial-immune interactions have dual role, mediators and potential modulators of radiation toxicity, along the MGBA.</p>
</sec>
<sec>
<title>3.7.6 Preventive measures and microbiota-preserving strategies</title>
<p>Given the importance of gut microbiota and its mitigate radiation-induced toxicity., implementing preventative strategies focusing on preserving the microbial diversity and barrier quality is crucial. In murine models, FMT has shown therapeutic benefits by restoring Firmicutes species and attenuating systemic inflammation post-RT. Timing is pivotal; administering FMT pre-RT has been shown to provide more benefits compared to post-RT (<xref ref-type="bibr" rid="B96">Cui et al., 2017b</xref>). FMT is beginning to move toward clinical application. Pilot clinical trials found that FMT might be a safe and effective approach for patients that suffer from post-RT enteritis, although it can alter the patients&#x00027; gut microbiota composition (<xref ref-type="bibr" rid="B110">Ding et al., 2020</xref>). Dietary interventions enrich with microbial substrates, such as polyphenols and dietary fiber, may enhance endogenous synthesis of beneficial metabolites like SCFAs and IPA. Recent studies done on animals found that high fiber diets helped in mitigating hippocampal inflammation following abdominal radiation, while preserving goblet cell integrity and tight junction protein expression (<xref ref-type="bibr" rid="B83">Church et al., 2023</xref>; <xref ref-type="bibr" rid="B293">Lu et al., 2024</xref>). Stress management techniques and exercising regularly have been shown to promote microbial diversity and cognitive resilience, potentially leading to improved neurocognitive outcomes following RT (<xref ref-type="bibr" rid="B310">Matei et al., 2023</xref>). Limiting non-indicated use of antibiotics during RT is crucial to prevent excessive loss of microbiota (<xref ref-type="bibr" rid="B370">Poonacha et al., 2022</xref>). Personalized multimodal strategies&#x02014;integrating lifestyle, nutrition, and targeted therapies&#x02014;require further development and validation in clinical trials.</p>
</sec>
<sec>
<title>3.7.7 Scientific gaps</title>
<p>Although pre-clinical studies are promising, several gaps remain in understanding the exact microbial species and metabolites responsible for reducing RT side effects on the gut and brain. Many clinical studies fail to incorporate longitudinal assessments of both microbiome and neurocognitive data. The limited incorporation of advanced &#x02018;omics platforms, like metabolomics and metatranscriptomics has yet to reliably identify biomarkers of RT response and toxicity (<xref ref-type="bibr" rid="B280">Liu et al., 2021</xref>). Fourth industrial revolution tools, such as artificial intelligence and machine learning, are crucial in linking all the variables and further understand their mechanism of action. This is accomplished by developing generalized robust models, that minimize bias, along with explained machine learning techniques for multifactorial longitudinal data to analyze in more accurate manner and ensure future research success. Using these tools will aid the precision of radiation therapy, minimizing the risks of radiation-induced toxicities and injuries, and making medical care more personalized (<xref ref-type="bibr" rid="B183">Herrera-Quintana et al., 2024</xref>). Moreover, most of the existing preclinical studies have relied on male rodents, neglecting sex-specific variants in gut microbiota compositions and neuroinflammatory responses (<xref ref-type="bibr" rid="B71">Chakraborty et al., 2025</xref>). The field currently lacks the application of standardized approaches for microbiota modulation, like FMT and precision nutrition, which further hinder reproducibility and clinical application (<xref ref-type="bibr" rid="B293">Lu et al., 2024</xref>). Subsequent research must further clarify the role of the MGBA axis across varying malignancies, radiation site, and dose parameters (<xref ref-type="bibr" rid="B273">Li et al., 2022</xref>). Cross-disciplinary collaboration will be the key in achieving applicable realistic progress in personalized radiation oncology intervention (<xref ref-type="bibr" rid="B498">Yi et al., 2023</xref>).</p>
<p>The MGBA represents a dynamic modulator, where microbiota can influence the host&#x00027;s pathophysiological responses to RT. Preclinical evidence shows the significance of microbial metabolites and immune signaling in driving these effects, and recent clinical studies further supports these findings (<xref ref-type="bibr" rid="B438">Touchefeu et al., 2014</xref>; <xref ref-type="bibr" rid="B461">Wang et al., 2015</xref>). Implementing strategies that targets the MGBA axis can significantly reduce RT-associated morbidities. A clear Interdisciplinary approach containing microbiology, neuroimmunology, and behavioral sciences is needed to turn these theoretical data into realistic therapies. As we refine our knowledge about microbiota-RT interactions, microbiome modulation strategies are poised to play a key role in personalized oncology radiation treatments.</p>
</sec>
</sec>
<sec>
<title>3.8 Xenobiotics and neurotoxicity</title>
<sec>
<title>3.8.1 Background</title>
<p>Xenobiotics are chemical substances foreign to the human body, commonly found in pharmaceuticals, food additives, pesticides and environmental pollutants&#x02014;making exposure unavoidable (<xref ref-type="bibr" rid="B220">Jin et al., 2023</xref>). These compounds enter via ingestion, inhalation or dermal absorption and primarily accumulate in the GI tract (<xref ref-type="bibr" rid="B174">Hawkins et al., 2020</xref>). The gut microbiota, comprising diverse bacterial species, plays a central role in metabolizing xenobiotics through detoxification, bio activation or conversion into excretable forms (<xref ref-type="bibr" rid="B67">Catron et al., 2019</xref>). Given the vast number and variety of xenobiotics encountered by the gut microbiota&#x02014;over 25,000 compounds, understanding these interactions is critical (<xref ref-type="bibr" rid="B279">Lindell et al., 2022</xref>). Xenobiotics can reshape microbial communities, alter spatial organization, and disrupt host&#x02013;microbiota signaling (<xref ref-type="bibr" rid="B420">Sutherland et al., 2020</xref>; <xref ref-type="fig" rid="F10">Figure 10</xref>). These disruptions have been found to impair communication in the MGBA, a pathway increasingly linked to psychiatric symptoms (<xref ref-type="bibr" rid="B102">De Filippis et al., 2024</xref>).</p>
<fig position="float" id="F10">
<label>Figure 10</label>
<caption><p>A diagram showing how xenobiotics may disrupt gut microbiota and contribute to adverse health outcomes. Created with <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender.com</ext-link>.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1667448-g0010.tif">
<alt-text>Diagram showing the impact of chemicals like antibiotics, pesticides, food additives, and environmental pollutants on gut microbiota and their metabolic products. Effects include energy provision, inflammation, pathogen resistance, gut homeostasis disruption, and neurotoxicity. Various metabolites such as SCFAs, bile acids, tryptophan metabolites, lactate, and glyphosate influence these outcomes.</alt-text>
</graphic>
</fig>
<p>Although emerging evidence links xenobiotics, such as antibiotics (most commonly prescribed pharmaceuticals), glyphosate (most widely used herbicide), and microplastics (MPs)&#x02014;(ubiquitous emerging environmental contaminant) with anxiety and depression, studies remain limited and mechanisms of action are poorly understood (<xref ref-type="bibr" rid="B506">Zhang et al., 2021a</xref>; <xref ref-type="bibr" rid="B193">Hsiao et al., 2023</xref>; <xref ref-type="bibr" rid="B298">Luo and Lin, 2025</xref>). Given that these mental health conditions are projected to become the leading contributor to the global disease burden by 2030 (<xref ref-type="bibr" rid="B281">Liu J. et al., 2024</xref>), understanding how xenobiotics disrupt gut&#x02013;brain communication is urgently needed. This review examines how these three major xenobiotic classes disrupt gut&#x02013;brain axis communication, potentially contributing to anxiety and depression-like symptoms.</p>
</sec>
<sec>
<title>3.8.2 Microplastics</title>
<p>Plastic manufacturing has undergone a rapid expansion since 1950. In 2022, global production reached 400 million tons, and it is expected to double by 2050 (<xref ref-type="bibr" rid="B192">Houssini et al., 2025</xref>). These materials degrade slowly, fragmenting into MPs (&#x0003C;5 mm) and nanoplastics (NPs; 1&#x02013;100 nm), which have emerged as widespread environmental pollutants and a potential threat to human health (<xref ref-type="bibr" rid="B517">Zheng et al., 2024</xref>). MPs/NPs are either directly used in cosmetics, detergents, lotions, shampoos, synthetic textiles, and industrial processes, or formed secondarily through the degradation of larger plastic items such as packaging or tire (<xref ref-type="bibr" rid="B517">Zheng et al., 2024</xref>). Common polymers include polyethylene (PE), polypropylene (PP), polystyrene (PS), and polyvinyl chloride, often combined with additives such as plasticisers or flame retardants (<xref ref-type="bibr" rid="B517">Zheng et al., 2024</xref>). MPs/NPs have been detected across aquatic species including molluscs, fish, and crustaceans, raising concern about bioaccumulation in humans, with estimated intake ranging from 0.1 to 5 g/week via contaminated food, water and air (<xref ref-type="bibr" rid="B268">Li G. et al., 2024</xref>; <xref ref-type="bibr" rid="B517">Zheng et al., 2024</xref>). This exposure concern has been validated by direct tissue analysis. Postmortem human study demonstrated MPs/NPs were 7&#x02013;30 times higher in frontal cortex than kidney or liver, with 75% of particles identified as PE (<xref ref-type="bibr" rid="B345">Nihart et al., 2025</xref>). Frontal cortex concentrations increased by 50% from 2016 to 2024, with dementia cases exhibiting higher accumulation than controls (<xref ref-type="bibr" rid="B345">Nihart et al., 2025</xref>).</p>
<p>Furthermore, a preclinical study demonstrated that circulating MPs may impair brain function via immune-mediated vascular occlusion (<xref ref-type="bibr" rid="B199">Huang et al., 2025</xref>). Following MP phagocytosis, immune cells obstructed cortical capillaries, producing neurological deficits that persisted for 4 weeks (<xref ref-type="bibr" rid="B199">Huang et al., 2025</xref>). The authors demonstrated that larger particles (5 &#x003BC;m) caused more severe obstruction than smaller ones (2 &#x003BC;m, 80 nm), suggesting size-dependent neurovascular toxicity. Interestingly, while maternal PE MPs/NPs exposure increased umbilical flow by 43% in mice, it did not affect fetal growth or brain circulation&#x02014;suggesting effective compensatory mechanisms (<xref ref-type="bibr" rid="B167">Hanrahan et al., 2024</xref>). Collectively, these studies suggest MPs/NPs potentially exhibiting neurotoxic effects on cerebral tissue and vascular integrity, while negative effects during fetal exposure may be mitigated by placental adaptation.</p>
<p>Human exposure to microplastics can occur via respiratory inhalation, transdermal absorption and oral ingestion via food and plastic packaging (<xref ref-type="bibr" rid="B484">Wu P. et al., 2022</xref>) with the gut being a primary site of accumulation (<xref ref-type="bibr" rid="B418">Sun et al., 2025</xref>). MPs were found in every stomach examined at autopsy, averaging 9.4 particles per person, with an estimated daily intake of 32.2 particles (<xref ref-type="bibr" rid="B353">&#x000D6;zsoy et al., 2024</xref>). Recent preclinical studies found that gut microbiota participates in MPs and NPs induced anxiety and depression-like behaviors by modulating the gut&#x02013;brain axis. MPs disrupt the Firmicutes/Bacteroidetes (F/B) ratio&#x02014;a key marker of microbial balance in mice (<xref ref-type="bibr" rid="B76">Chen et al., 2023</xref>; <xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>; <xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>) and zebrafish (<xref ref-type="bibr" rid="B374">Qian et al., 2025</xref>) suggesting a conserved disruption of dominant phyla across species in response to MPs exposure. This was often accompanied by enrichment of pro-inflammatory Proteobacteria and depletion of protective phyla such as Verrucomicrobia, indicating a shift toward inflammation and barrier dysfunction (<xref ref-type="bibr" rid="B413">Stolfi et al., 2022</xref>). Furthermore, MPs induce gut dysbiosis by decreasing probiotic bacteria and increasing pro-inflammatory. In male mice even low-dose exposure to PS-MPs and PS-NPs (0.5 mg/day for 60 days) reduced <italic>Lactobacillus</italic>, a genus important for epithelial maintenance (<xref ref-type="bibr" rid="B76">Chen et al., 2023</xref>). Similar reductions followed in male mice study exposed to low-density polyethylene MPs (LDPE-MPs) and oxidized low-density polyethylene MPs (Ox-LDPE-MPs) for 28 days (<xref ref-type="bibr" rid="B463">Wang et al., 2023b</xref>; <xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>) suggesting microbial vulnerability across polymer types. Similarly, SCFA-producing genera were consistently depleted in male rodent models exposed to PS-MPs and PS-NPs including <italic>Faecalibaculum</italic> and <italic>Akkermansia</italic> (<xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>)<italic>, Oscillibacter</italic> and <italic>Ruminococcus</italic> (<xref ref-type="bibr" rid="B218">Jiang et al., 2023</xref>), and <italic>Lachno Clostridium</italic> (<xref ref-type="bibr" rid="B76">Chen et al., 2023</xref>). These losses occurred irrespective of dose, duration, or particle size. Moreover, an overgrowth of pro-inflammatory gut bacteria was shown across rodent models and doses. This included <italic>Desulfovibrio</italic> (<xref ref-type="bibr" rid="B76">Chen et al., 2023</xref>), <italic>Mucispirillum, Helicobacter, Paraprevotella</italic>, and <italic>Tuzzerella</italic> (<xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>). Moreover, gut barrier dysfunction was consistently observed in rodent models following microplastics exposure, marked by reduced expression of tight junction proteins&#x02014;ZO-1, Occludin, Claudin-1, and Claudin-5 (<xref ref-type="bibr" rid="B218">Jiang et al., 2023</xref>; <xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>; <xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>). This epithelial disruption was linked to elevated serum LPS, confirming increased intestinal permeability and microbial translocation. Increased levels of IL-1&#x003B2;, IL-6, and TNF-&#x003B1; further demonstrated systemic immune activation (<xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>; <xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>). Interestingly, Ox-LDPE-MPs showed greater inflammatory responses and intestinal damage compared to LDPE-MPs which was hypothesized to result from their easier cellular accumulation (<xref ref-type="bibr" rid="B463">Wang et al., 2023b</xref>).</p>
<p>Furthermore, peripheral immune changes were associated with neuroinflammatory responses in mood-related brain regions. Hippocampal TLR4/MyD88/NF-&#x003BA;B signaling was activated (<xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>) the cAMP/PKA/p-CREB pathway was altered in the amygdala alongside neuronal apoptosis (<xref ref-type="bibr" rid="B218">Jiang et al., 2023</xref>), and cortical cytokines&#x02014;including IL-1&#x003B2;, IL-6, and TNF-&#x003B1; were elevated (<xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>), each coinciding with anxiety- and depression-like behaviors. Exposure to MPs consistently disrupted monoaminergic and cholinergic signaling. In rats, long-term low-dose PS-NPs exposure reduced amygdalar metabolites-N-acetylserotonin, N-acetyl-L-tyrosine, and 4-aminobutyric acid, suggesting impaired neurotransmitter metabolism (<xref ref-type="bibr" rid="B218">Jiang et al., 2023</xref>). In mice, 28-day exposure to LDPE and Ox-LDPE MPs reduced acetylcholine levels in the cortex and hippocampus (<xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>). In zebrafish, 90-day exposure to Polyactic Acid (PLA) and Aged Polyactic Acid (APLA) MPs (1&#x02013;20 mg/L) suppressed 5-HT and DA, decreased acetylcholinesterase activity in the brain and gut and downregulated BDNF/TrkB signaling, coinciding with neuronal apoptosis. Interestingly, these effects were more pronounced in the high-dose APLA group compared to PLA, suggesting dose- and type-dependent neurotoxicity (<xref ref-type="bibr" rid="B374">Qian et al., 2025</xref>). Behavioral alterations from MPs exposure demonstrated clear dose-response and particle-specific patterns (<xref ref-type="bibr" rid="B218">Jiang et al., 2023</xref>) reported no alteration in neuropsychiatric symptoms at 12 weeks but observed clear effects after 24 weeks of exposure, supporting cumulative neurotoxicity. There were greater impairments with higher-dose APLA vs. PLA, suggesting dose- and polymer-specific toxic effects on neuropsychiatric symptoms (<xref ref-type="bibr" rid="B374">Qian et al., 2025</xref>). Furthermore, Ox-LDPE caused more pronounced anxiety-like behaviors compared to LDPE, with oxidized particles producing more severe behavioral impairments (<xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>). MPs caused more pronounced anxiety-like behaviors compared to NPs after 30 days of exposure, hypothesizing that NPs are more easily absorbed and removed due to their smaller size, resulting in less neurotoxicity than MPs (<xref ref-type="bibr" rid="B76">Chen et al., 2023</xref>). The behavioral toxicity threshold of MPs remains to be defined. Future studies should investigate the effects across polymer types, doses and exposure durations. Several interventions have reversed MPs-induced neurotoxicity by targeting the gut microbiota, supporting a causal role of the MGBA (<xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>). A treatment with epigallocatechin gallate (EGCG), a polyphenol from green tea, restored microbial composition, preserved tight junction expression, and reduced systemic inflammation (<xref ref-type="bibr" rid="B494">Yang J.-Z. et al., 2023</xref>). Moreover, rats treated with 1% neohesperidin dihydrochalcone for 1 month showed reduced amygdala neuroinflammation via suppression of cAMP/PKA pathway activity, restoration of cortical 5-HT, DA, and NE levels, and reversal of anxiety- and depression-like behaviors (<xref ref-type="bibr" rid="B218">Jiang et al., 2023</xref>). Similarly, bile acid treatment rescued microbial diversity and restored 5-HT, DA, acetylcholine, BDNF, and tropomyosin receptor kinase B levels in both brain and gut of zebrafish, alleviating behavioral symptoms (<xref ref-type="bibr" rid="B374">Qian et al., 2025</xref>). Moreover, supplementation with <italic>Lactobacillus plantarum</italic> (DP189) and GOS restored gut microbial composition, improved gut and BBB integrity, reduced cortical inflammation and elevated acetylcholinesterase activity, reversing anxiety and depression-like behaviors in mice (<xref ref-type="bibr" rid="B464">Wang J. et al., 2024</xref>).</p>
<p>While human studies remain scarce, emerging <italic>in vitro</italic> models simulating human gut conditions reveal variable microbiota responses to MPs, ranging from dysbiosis and inflammatory metabolite production to probiotic enrichment and metabolic adaptation (<xref ref-type="bibr" rid="B137">Fournier et al., 2023</xref>; <xref ref-type="bibr" rid="B219">Jim&#x000E9;nez-Arroyo et al., 2023</xref>). In the M-ARCOL model (Mucosal Artificial Colon, an advanced <italic>in vitro</italic> system using microbiota from healthy donors), daily exposure to PE&#x02014;MPs for 14 days increased pathobiont <italic>Desulfovibrionaceae</italic> (<xref ref-type="bibr" rid="B137">Fournier et al., 2023</xref>). Elevated levels may contribute to the development of depression by promoting hydrogen sulfide&#x02013;mediated inflammation (<xref ref-type="bibr" rid="B493">Yang et al., 2017</xref>). Furthermore, donor-dependent rises in <italic>Enterobacteriaceae</italic>, alongside reductions in protective taxa <italic>Christensenellaceae</italic> and <italic>Akkermansiaceae</italic> were found (<xref ref-type="bibr" rid="B137">Fournier et al., 2023</xref>). <italic>Christensenellaceae</italic> exhibits a capacity to influence the HPA axis, a central regulator of the body&#x00027;s stress response (<xref ref-type="bibr" rid="B3">Agusti et al., 2024</xref>) and depleted levels have been found in individuals with MDD, supporting their proposed role as protective taxa within the MGBA (<xref ref-type="bibr" rid="B285">Liu R. T. et al., 2020</xref>).</p>
<p>Moreover, skatole, a tryptophan-derived metabolite typically low in healthy individuals, was also elevated, suggesting disruption of gut homeostasis (<xref ref-type="bibr" rid="B137">Fournier et al., 2023</xref>). However, biodegradable plastics show contrasting effects. Interestingly, certain MPs may be metabolically processed by the human gut microbiota without causing detrimental alterations. In the SIMGI<sup>&#x000AE;</sup> model (an <italic>in vitro</italic> simulator of human digestion), a single dose of 0.166 g of PLA&#x02014;a widely used biodegradable plastic was followed by 72-h colonic fermentation. An increase in probiotic <italic>Bifidobacterium</italic> was detected in all donors (<xref ref-type="bibr" rid="B219">Jim&#x000E9;nez-Arroyo et al., 2023</xref>). During this process, PLA particles were colonized by gut microbes, forming surface biofilms and increasing pullulanase activity&#x02014;an enzyme that degrades branched polysaccharides&#x02014;the authors suggested this may have broken down PLA into smaller carbon-rich molecules, potentially supporting <italic>Bifidobacterium</italic> growth, without triggering pathogenic overgrowth or inflammatory responses (<xref ref-type="bibr" rid="B219">Jim&#x000E9;nez-Arroyo et al., 2023</xref>). These findings were challenged by a more recent <italic>in vitro</italic> study, using fecal microbiota from healthy donors (<xref ref-type="bibr" rid="B364">Peng et al., 2024</xref>). Biodegradable MPs such as PLA and Poly(&#x003B5;-caprolactone) underwent degradation and oligomerization while significantly depleting beneficial bacteria including <italic>Bifidobacterium, Lactobacillus, Faecalibacterium, Blautia</italic>, and <italic>Ruminococcus</italic> (<xref ref-type="bibr" rid="B364">Peng et al., 2024</xref>). These play a significant role in neurotransmitter production, inflammation control and barrier regulation and their depletion is frequently observed in individuals with depression and anxiety further suggesting their relevance to mental health (<xref ref-type="bibr" rid="B46">Borkent et al., 2022</xref>; <xref ref-type="bibr" rid="B489">Xiong R.-G. et al., 2023</xref>). Moreover, biodegradable MPs increased potentially harmful <italic>Megamonas</italic> and <italic>Prevotella</italic> with SCFA production impairment, authors hypothesizing that biodegradable plastics may cause greater harm than conventional plastics because their degradation creates oligomers&#x02014;smaller breakdown products that can more easily penetrate biological barriers and further exhibit detrimental effects on gut microbiota (<xref ref-type="bibr" rid="B364">Peng et al., 2024</xref>). However, small donor sample sizes limit generalizability, as they may not capture donor-dependent shifts or reflect broader diversity in age, diet, or health. Moreover, these models used adult microbiota, despite evidence that infants are found to contain higher levels of MPs in fecal samples (<xref ref-type="bibr" rid="B507">Zhang et al., 2021b</xref>). Future studies should include larger, diverse cohorts and age-relevant microbiota.</p>
</sec>
<sec>
<title>3.8.3 Glyphosate</title>
<p>Glyphosate is a widely used herbicide acting via inhibition of the enzyme 5-enolpyruvylshikimate-3-phosphate synthase, which blocks the shikimate pathway responsible for synthesizing aromatic amino acids including phenylalanine, tyrosine and tryptophan (<xref ref-type="bibr" rid="B80">Chiantia et al., 2025</xref>). These are known precursors to neurotransmitters that modulate mood, behavior and cognition. The shikimate pathway is absent in mammals; therefore, glyphosate has been considered safe for human health, however, this pathway is present in plants and many microorganisms, including members of the gut microbiota (<xref ref-type="bibr" rid="B318">Mesnage et al., 2021</xref>). As some gut bacteria rely on the shikimate pathway for nutrient synthesis or metabolic cross-feeding, glyphosate exposure may alter microbial composition, as 12&#x02013;26% of human gut bacterial species may be sensitive to glyphosate (<xref ref-type="bibr" rid="B266">Leino et al., 2021</xref>; <xref ref-type="bibr" rid="B373">Puigb&#x000F2; et al., 2022</xref>). Therefore, GBA may be proposed as a potential mediator of glyphosate-associated neuropsychiatric effects in humans (<xref ref-type="bibr" rid="B264">Lehman et al., 2023</xref>). Although glyphosate has been classified as a potentially carcinogenic substance (<xref ref-type="bibr" rid="B159">Guyton et al., 2015</xref>) and has been linked to psychiatric symptoms and neurotoxicity (<xref ref-type="bibr" rid="B91">Costas-Ferreira et al., 2022</xref>) the debate on glyphosate&#x00027;s detrimental effects on human health continuously persists in the scientific community with scarce number of studies and inconsistent findings.</p>
<p>Preclinical studies found that glyphosate exposure can induce anxiety and depression-like behaviors by disrupting gut microbiome composition, impairing neurotransmitter levels and increasing neuroinflammation (<xref ref-type="bibr" rid="B6">Aitbali et al., 2018</xref>). Adult mice exposed to low-dose glyphosate exposure at environmentally relevant levels (10 &#x003BC;g/ml) for 90 days showed reduced levels of beneficial bacteria <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic> (<xref ref-type="bibr" rid="B264">Lehman et al., 2023</xref>). These bacteria are found to exhibit a greater sensitivity to glyphosate exposure (<xref ref-type="bibr" rid="B395">Shehata et al., 2013</xref>) and are often found at reduced levels in individuals with MDD and may play a role in the development of mood disorders (<xref ref-type="bibr" rid="B7">Aizawa et al., 2019</xref>). Moreover, detrimental effects of glyphosate on gut&#x02013;brain axis exhibit transgenerational effects. Reduced beneficial bacteria <italic>Akkermansia</italic> and <italic>ParaBacteroides</italic> and overgrowth of Alistipes and Blautia were found in offspring of mice exposed to glyphosate during pregnancy and lactation (<xref ref-type="bibr" rid="B55">Buchenauer et al., 2023</xref>). This microbial shift disrupts multiple gut&#x02013;brain pathways simultaneously: these shifts coincided with gut barrier disruption (elevated serum endotoxin), triggering elevated hippocampal cytokines (IL-6, TNF-&#x003B1;), which in turn suppress Tph2 expression and induce Tph2 hypermethylation (suggesting neuroinflammation and serotonergic suppression), ultimately manifesting as anxiety and depression-like behaviors (<xref ref-type="bibr" rid="B55">Buchenauer et al., 2023</xref>). These effects were dose-dependent, emerging only at 50 mg/kg/day&#x02014;a level still classified as safe in animals by regulatory standards. Furthermore, the effects were sex-dependant&#x02014;recorded in female offspring only. The selective vulnerability in females led the authors to hypothesize a role for estrogen-linked mechanisms, although this was not tested. Future studies should determine whether hormonal factors mediate this sex-specific sensitivity (<xref ref-type="bibr" rid="B55">Buchenauer et al., 2023</xref>). Moreover, exposing mice to a low dose which reflects a typical American diet (0.01 mg/kg/day), caused gut microbiota alterations across two generations-consistent with earlier findings, <italic>Akkermansia muciniphila</italic> was depleted, while <italic>ParaBacteroides distasonis</italic> and <italic>Christensenellaceae</italic> were elevated in the second generation (<xref ref-type="bibr" rid="B29">Barnett et al., 2024</xref>). Interestingly, <italic>ParaBacteroides</italic> responses appear to vary between studies, as <xref ref-type="bibr" rid="B55">Buchenauer et al. (2023)</xref> observed <italic>ParaBacteroides</italic> depletion rather than enrichment, suggesting exposure timing or generation-dependent effects. Whilst these microbial shifts coincided with gut barrier disruption (loss of ZO-2 tight junction protein and goblet cell depletion), colonic immune activation (elevated pro-inflammatory cytokines), and altered levels of gut-derived metabolites relevant to neuropsychiatric function (reduced GLP-1 and serum kynurenine), affective symptoms were not detected at the time of testing (<xref ref-type="bibr" rid="B29">Barnett et al., 2024</xref>), possibly due to delayed onset of behavioral abnormalities (<xref ref-type="bibr" rid="B106">Del Castilo et al., 2022</xref>). Future studies should employ longitudinal study designs to clarify the delayed effects of glyphosate on gut&#x02013;brain interactions.</p>
</sec>
<sec>
<title>3.8.4 Antibiotics</title>
<p>Antibiotics are commonly prescribed medications in clinical settings and may represent one of the most powerful disruptors of the MGBA (<xref ref-type="bibr" rid="B168">Hao et al., 2021</xref>). Antibiotic-induced depression followed by an attempt to suicide was first reported in 2010 (<xref ref-type="bibr" rid="B4">Ahmed et al., 2011</xref>). Since then, large human cohort studies have linked antibiotic exposure to increased risk of depression and anxiety, with disruption of the MGBA proposed as a key mechanism (<xref ref-type="bibr" rid="B156">Gudnadottir et al., 2024</xref>; <xref ref-type="bibr" rid="B261">Lee et al., 2024</xref>). This proposed mechanism has been directly validated in animal models where the surgically severed vagus nerve attenuated anxiety- and depression-like behaviors in mice after oral antibiotic administration, providing direct evidence for neuropsychiatric effects induced by antibiotics through the gut&#x02013;brain axis (<xref ref-type="bibr" rid="B223">Joo et al., 2023</xref>). Preclinical studies have demonstrated that antibiotic treatment induces gut dysbiosis-marked by reduced alpha diversity, a decreased Firmicutes/Bacteroidetes ratio, depletion of beneficial genera, and enrichment of pro-inflammatory taxa (<xref ref-type="bibr" rid="B429">Tejkalov&#x000E1; et al., 2023</xref>; <xref ref-type="bibr" rid="B430">Thabet et al., 2024</xref>). These microbial shifts trigger cascading gut&#x02013;brain disruption by impairing neurotransmitter signaling, suppressing SCFA production, weakening epithelial barrier integrity, and activating neuroimmune pathways, ultimately resulting in anxiety- and depression-like behaviors in rodent models (<xref ref-type="bibr" rid="B429">Tejkalov&#x000E1; et al., 2023</xref>; <xref ref-type="bibr" rid="B269">Li N. et al., 2024</xref>; <xref ref-type="bibr" rid="B41">Bibi et al., 2025</xref>). In mice treated with amoxicillin or ciprofloxacin, depletion of <italic>Lactobacillus reuteri</italic> (Firmicutes) led to reduced brain and serum GABA, downregulation of GABA-A receptors, and diminished 5-HT and DA, neurochemical changes that coincided with anxiety- and depression-like behaviors (<xref ref-type="bibr" rid="B41">Bibi et al., 2025</xref>). Intergenerational exposure to vancomycin and streptomycin resulted in progressive microbial loss, with the most pronounced shifts observed in third-generation offspring (<xref ref-type="bibr" rid="B269">Li N. et al., 2024</xref>). Depletion of beneficial taxa such as <italic>Odoribacter</italic> (Bacteroidetes) and <italic>Lachno Clostridium</italic> (Firmicutes), along with increased abundance of pro-inflammatory taxa including <italic>Ileibacterium</italic> and <italic>Olsenella</italic>, was associated with reduced SCFA gene expression, downregulation of tight junction proteins (occludin and claudin-1), and microglial activation in the amygdala and arcuate nucleus, indicating gut barrier disruption and neuroinflammation that coincided with anxiety-like behavior. Soil microbiota restoration reversed anxiety-like behavior, attenuated microgliosis, and restored gut microbial composition in affected mice (<xref ref-type="bibr" rid="B269">Li N. et al., 2024</xref>). However, findings remain inconsistent across studies. A recent two-hit rat model study found that antibiotic-induced dysbiosis, including increased <italic>Proteobacteria</italic> and reduced <italic>Bacteroidetes</italic>, failed to amplify anxiety-like behaviors in immune-primed rodents, contradicting prior evidence and highlighting the complexity of gut&#x02013;brain interactions (<xref ref-type="bibr" rid="B429">Tejkalov&#x000E1; et al., 2023</xref>). Future studies should clarify the role of immune priming in modulating behavioral responses to antibiotic-induced gut&#x02013;brain effects.</p>
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</sec>
</sec>
<sec id="s4">
<title>4 Conclusion and future perspectives</title>
<p>Increasing information has pointed out the importance of MGBA in all stages of neurodevelopment and progression in a wide variety of neuropsychotic diseases and neurodegenerative disorders, as well as their treatment. Dysbiosis is common among conditions like AD, PD, MS, MDD, BD, anxiety, PTSD, and stroke. Gut microbiota disruption has the potential to provoke a number of processes, including neuroinflammation, BBB dysfunction, dysregulation in immunity, and new patterns in neurotransmitter metabolism. These pathologies are mediated by microbial metabolites, such as SCFAs, microbial endotoxins, and others, that neurologically act on human brain health directly and indirectly. This review demonstrates various roles of MGBA in different disease process mechanisms. For example, in both neurodegenerative diseases like Alzheimer&#x00027;s and Parkinson&#x00027;s, the presence of fewer bacteria generating SCFA and the increased density of proinflammatory microbes lead to neuroinflammation and cognitive decline. In affective disorders such as depression, BD, and PTSD, alterations in serotonergic, dopaminergic, and GABAergic signaling often regulated by microbial misbalanced signaling render gut microbiome as strongly connected to emotional and behavioral aptness. Gut-derived immune activation exacerbates central pathology in stroke and in autoimmune diseases like MS, while there is evidence that dietary interventions and probiotics can also attenuate disease severity and improve functional outcome. While pre- and probiotics are currently limited to being functional foods for promoting health, the future of live biotherapeutic products (LBPs) holds much promise for the prevention and management of neuropsychiatric and neurodegenerative disorders. The rigorous characterization, safety evaluation, and standardization of pre- and probiotics are instrumental in developing them as LBPs such that therapeutic effects can be reliably obtained. This approach could offer precision in modulating the specific microbial taxa or metabolic activities involved in the disease processes, paving the way for personalized therapeutic strategies. However, these are some of the converging themes despite the nuances posed by each specific disease. First, it would appear that gut dysbiosis is a cause and consequence of CNS pathology and hence creates self-propelling loops among inflammation, immune activation, and barrier dysfunction. Second, the MGBA is bidirectional and the gut highly modulates, as much as the brain influences, state of gut physiology. Thirdly, among interventions that target the microbiome are probiotics, prebiotics, SCFA supplementation, dietary modifications (e.g., Mediterranean diets or those rich in fibers), FMT, and emerging LBPs, all of which combine toward what could be considered a promising frontier in therapeutic potential. Still in its infancy, preclinical and clinical investigations have indicated that these therapies can change the course of diseases, relieve or ameliorate symptoms, or even change treatment response to a certain extent. Going forward, future research should address the following gaps that need to be filled. First, they need to be well-detailed mechanistic studies that disentangle causal relationships between specific microbes and neurological outcomes rather than mere correlational evidence that would lead to therapeutic targets. Additionally, appropriate human longitudinal studies and standardized protocols for measuring durability and safety of microbiota-based interventions among different patient populations will be important. Finally, it is envisaged that personalized approaches integrating individual microbiome profiles, genetic background, and lifestyle factors will be critical in using this knowledge to develop effective, tailored therapies. Such LBPs may also help transform microbiome-targeted therapies from adjuncts to scientifically validated, medical-grade modalities in preventing or slowing neurodegenerative and neuropsychiatric disease progression. The gut microbiota is, thus, modifiable as well as a clinically actionable component. In moving toward a systems level understanding of the MGBA and leveraging advances in microbiome science-the LBPs-it is all possible to usher in a new era of preventive and therapeutic agendas toward complex neuropsychiatric and neurodegenerative disorders.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s5">
<title>Author contributions</title>
<p>LY: Software, Data curation, Investigation, Resources, Writing &#x02013; review &#x00026; editing, Validation, Writing &#x02013; original draft, Visualization, Methodology. JS-B: Software, Writing &#x02013; original draft, Formal analysis, Resources, Data curation, Visualization, Investigation. SAls: Data curation, Writing &#x02013; review &#x00026; editing, Validation, Writing &#x02013; original draft, Visualization, Conceptualization, Software. SSa: Software, Data curation, Writing &#x02013; original draft, Formal analysis, Visualization, Resources, Conceptualization, Validation, Writing &#x02013; review &#x00026; editing. SAlk: Writing &#x02013; original draft, Investigation, Resources, Formal analysis, Visualization, Conceptualization, Data curation, Validation, Writing &#x02013; review &#x00026; editing. SAlm: Software, Data curation, Investigation, Resources, Writing &#x02013; original draft, Visualization, Validation, Writing &#x02013; review &#x00026; editing. AA: Investigation, Resources, Conceptualization, Validation, Writing &#x02013; review &#x00026; editing, Visualization, Data curation, Writing &#x02013; original draft. SB: Data curation, Validation, Writing &#x02013; review &#x00026; editing, Investigation, Writing &#x02013; original draft, Visualization. DA: Visualization, Resources, Data curation, Validation, Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft, Investigation. MA: Validation, Investigation, Data curation, Conceptualization, Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft, Resources, Visualization. SSh: Validation, Data curation, Conceptualization, Investigation, Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft, Resources. MH: Conceptualization, Software, Investigation, Resources, Funding acquisition, Writing &#x02013; review &#x00026; editing, Project administration, Writing &#x02013; original draft, Data curation, Validation, Supervision, Visualization, Formal analysis.</p>
</sec>
<sec sec-type="funding-information" id="s6">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the United Arab Emirates University UPAR grant number 12M159 to MH.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec sec-type="ai-statement" id="s7">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>AAP, atypical antipsychotic; AD, Alzheimer&#x00027;s disease; APLA, aged polyactic acid; ALS, amyotrophic lateral sclerosis; BBB, blood&#x02013;brain barrier; BD, bipolar disorder; BDNF, brain-derived neurotrophic factor; BA, bile acids; CBT, cognitive behavioral therapy; CVD, cardiovascular disease; CFS, chronic fatigue syndrome; CMS, chronic mild stress; CNS, central nervous system; CRP, C-reactive protein; CUMS, chronic unpredictable mild stress; DA, dopamine; FMT, fecal microbiota transplantation; FOS, fructo-oligosaccharides; GABA, gamma-aminobutyric acid; GAD, generalized anxiety disorder; GOS, galacto-oligosaccharides; GI, gastrointestinal; GLP-1, lucagon-like peptide-1; GR, glucocorticoid receptor; HPA, hypothalamic&#x02013;pituitary&#x02013;adrenal; IBD, inflammatory bowel disease; IBS, irritable bowel syndrome; IL, interleukin; IFN-&#x003B3;, interferon-gamma; LDPE, low-density polyethylene; LPS, lipopolysaccharide; LCA, lithocholic acid levels; MDD, major depressive disorder; MGBA, microbiota&#x02013;gut&#x02013;brain axis; MP, microplastic; MS, multiple sclerosis; NP, nanoplastic; NE, norepinephrine; Ox-LDPE, oxidized low-density polyethylene; PD, Parkinson&#x00027;s disease; PE, polyethylene; PLA, polylactic acid; PP, polypropylene; PSCI, post-stroke cognitive impairment; PS, polystyrene; PTSD, post-traumatic stress disorder; SAD, social anxiety disorder; SCFA, short-chain fatty acids; SPS, single prolonged stress; S1PR2, sphingosine-1-phosphate receptor 2; TGR5, Takeda G protein receptor 5; TLR, toll-like receptors; TNF-&#x003B1;, tumor necrosis factor-&#x003B1;; Tregs, regulatory T cells; T2DM, type 2 diabetes mellitus; 5-HT, 5-hydroxytryptamine.</p></fn></fn-group>
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