Gut microbes can help regulate bodily functions and alter behavior in their animal host through chemical interactions with the nervous system, including both “direct” and “indirect” communication (Morais et al., 2021). Microorganisms have the ability to synthesize some of the neuroactive compounds themselves as well as stimulate the production of other metabolites and neurotransmitters by the host that regulate gut-brain signaling (Poutahidis et al., 2013). The microbiota is also required for the normal maturation, activation, and development of microglia, which are innate immune cells in the brain (Zheng et al., 2020). It seems that immune programming by microglia is regulated by signals from microbial metabolism because administering bacterial-derived short-chain fatty acids (SCFAs) to germ-free (GF) mice restores microglial shape and function (Erny et al., 2015). Microbial-derived molecules signaling to the brain. Neurotransmitters such as dopamine, serotonin, norepinephrine, glycine, and gamma-aminobutyric acids are produced by the intestinal microbiota, and each has a specific impact on brain γ-aminobutyric acid (GABA). Imbalances in these neurotransmitters can lead to disorders such as AD, PD, autism spectrum disorder, anxiety disorders, and depressive disorders (Chen et al., 2021).

For example, Bifidobacterium infantis increases blood plasma tryptophan levels, which affects central serotonin transmission; GABA can be produced by Lactobacillus and Bifidobacterium; noradrenaline can be produced by Escherichia, Bacillus, and Saccharomyces species; serotonin can be produced by Streptococcus, Candida, Escherichia, and Enterococcus species; dopamine can be produced by bacteria; and acetylcholine can be produced by Lactobacillus (Lyte, 2014a). SCFAs, a type of direct signaling, are lipids generated by intestinal microbes through the fermentation of dietary fiber that have the ability to influence the immune system, epigenetics, and neuroplasticity in the CNS (Dalile et al., 2019). The brain, energy balance, and metabolism are all impacted by SCFAs, which include butyrate, propionate, and acetate and are vital metabolic byproducts of gut microbial activity (Dinan et al., 2015). Additionally, SCFAs serve as endogenous ligands for orphan G protein–coupled receptors (GPCRs), and intracellular SCFAs regulate gene expression by preventing histone deacetylases. In addition, SCFAs interact with vagal afferents, which affects inflammation and hormone regulation. The interactions of SCFAs with particular cellular systems and gut-brain signaling pathways support the idea that SCFAs can play a significant role in GMB communication (Dalile et al., 2019). Through indirect chemical communication, the microbiota also affects the neurological system and behavior, as evidenced by the microbial regulation of the neuroendocrine system (Sudo et al., 2004). Gut microbiota can affect their host’s appetite and eating patterns by changing the endocrine signals produced by enteroendocrine cells (EECs) in the gut epithelium, which involves the production of the hormone glucagon-like peptide 1 (GLP1) (Aresti Sanz and El Aidy, 2019). The microbiota in the gut can produce neurotransmitters on their own and can also stimulate the creation of these chemicals in their animal hosts. For example, a number of microbes, including Escherichia spp., Bacteroides, Bifidobacterium, and its species, are known to generate the neurotransmitter GABA (Strandwitz et al., 2019). Bacteria have been demonstrated to be essential for the production of the neurotransmitter serotonin 5-hydroxytryptamine (5-HT) in animal mouse model systems (Clarke et al., 2013). Microbial metabolites such as indole, SCFAs, secondary bile acids, α-tocopherol, p-aminobenzoate, and tyramine have an impact on the generation and secretion of 5-HT by enteroendocrine cells (EECs) (Yano et al., 2015; Morris et al., 2017). Gut microbes synthesize SCFAs, 5-HT, dopamine, butyric acid, gamma amino acids, and gamma amino acids (Forsythe et al., 2014; Lyte, 2014b), and these substances are accessible between microbial cells (Forsythe et al., 2014). The gut, particularly intestinal cells, can synthesize large amounts of 5-HT, which affects the brain. Additionally, microbial enzymes can manufacture neurotoxins such D-lactic acid and ammonia (Manicassamy et al., 2010; Smith, 2015). These neuroactive metabolites, such as the neurotransmitters GABA, dopamine, noradrenaline and serotonin, amino acids (for example, tryptophan and tyramine) T lipopolysaccharide (LPS), short-chain fatty acids (SCFAs), long-chain fatty acids (LCFAs), trimethylamine-N-oxide (TAMO), and polysaccharide A (PSA), either directly or indirectly induce the migration of peripheral immune cells to the brain and are thought to cause neuroinflammation and influence CNS functions (Harms et al., 2018; Morais et al., 2021). Microbial-associated molecular patterns (MAMPs), which are released, also connect the CNS to the microbiota (Sampson and Mazmanian, 2015). MAMPs are molecules produced by gut microbes, such as double-stranded RNA, lipopolysaccharides, and lipoproteins, that are identified by a variety of receptors, especially Toll-like receptors (Akira and Hemmi, 2003; Schachtle and Rosshart, 2021). However, 5-HT and its metabolic precursor tryptophan concentrations in the hippocampus were decreased in germ-free mice, indicating a possible role for the gut microbiota in regulating 5-HT signaling pathways in the CNS (Clarke et al., 2013). In fact, it is difficult to evaluate how much microbial metabolism directly affects CNS activity, in part because we do not fully understand the average rate of transport for numerous microbial metabolites into the brain (Muller et al., 2020).

SCFAs can alter the function of the gut-brain axis by regulating the production of gut hormones. The activation of G protein-coupled receptors (GPCRs) by SCFAs in the colon is the mechanism underlying the production of these gut hormones, which enhances the release of peptide YY (PYY) and glucagon-like peptide 1 (GLP1) from enteroendocrine L cells (Tolhurst et al., 2012; Psichas et al., 2015; Larraufie et al., 2018). These hormones in turn have the power to affect mood, memory, and learning. Through the use of free fatty acid receptors (FFARs), SCFAs can signal to the brain by directly activating vagal afferents (Dalile et al., 2019). GLP1 has many receptors throughout the body and can affect brain functions via both humoral and neuronal routes, including the CNS and PNS, as well as the heart, lungs, intestines and pancreas (Alvarez et al., 2005; Katsurada and Yada, 2016). GLP1 is involved in enhanced memory and learning in mice (Isacson et al., 2011), enhanced neuroplasticity and neuroprotection in the hippocampus (McClean et al., 2011; Porter et al., 2011), in animal models of AD, and in reduced βamyloid plaques and microglia activation (McClean et al., 2011). Another anorexic neuropeptide, PYY, reduces appetite and prevents gastric motility. In addition to the distal gastrointestinal tract’s L cells secreting it (colon and ileum), the hypothalamus and pituitary gland have the highest levels of PYY expression in the human brain, which is expressed throughout the brain (Morimoto et al., 2008). The most common form of circulating PYY is PYY_3–36, a truncated form of the protein that preferentially interacts with the Y2 neuropeptide Y receptor (Murphy and Bloom, 2006). According to research conducted on animals, PYY affects both appetite and brain activity by either mechanisms that cross the blood–brain barrier (BBB) (Nonaka et al., 2003) or by activating vagal afferent pathways that connect to the gut wall’s lamina propria and myenteric plexus and transmitting to the brainstem (Koda et al., 2005; Waise et al., 2018). Other metabolic hormones that affect brain function and are influenced by SCFAs include ghrelin, leptin, and insulin; however, research on these hormones has been less focused than that on PYY and GLP1. Leptin is a hormone that induces weight loss that is mostly produced by adipose cells (Hube et al., 1996), and it is well known for regulating the body’s energy balance by activating its hypothalamic receptors to express orexigenic and anorexigenic neuropeptides such as neuropeptide Y and α melanoma-stimulating hormone, which reduces appetite (Elias et al., 1999).

The immune system is influenced and directly affected by both the CNS and the gut microbiome. The gut microbiota has a significant impact on the development and function of the peripheral immune system (Zheng et al., 2020). The microbiota is necessary for the development and activation of innate immune cells in the brain (Abdel-Haq et al., 2019). The pathophysiology of psychiatric disorders may involve immune responses and inflammation (Miller and Raison, 2016). CNS-cytokine interactions affect brain functions and have an effect on neurocircuits that regulate motivation, motor activity, and mood (Capuron and Miller, 2011). Additionally, through the systemic immune system and circulating cytokines, the gut microbiota and the brain communicate (Hsiao et al., 2013). Immune cells directly penetrate the BBB and reach the CNS, or they can produce cytokines and chemokines in the brain (Morais et al., 2021). Cytokines are substances made in the intestine that can travel through the bloodstream and, under certain conditions, have an effect on the hypothalamus and other areas of the brain (El Aidy et al., 2014). The BBB is a physical barrier that separates the brain microenvironment from the rest of the body. It is made of tight junction proteins that connect the mural and microvascular endothelial cells (Morais et al., 2021). The BBB regulates the movement of molecules between the bloodstream and the cerebrospinal fluid of the CNS. Permeability of the BBB is influenced by the gut microbiota, as some reports show that GF mice have increased BBB permeability relative to control mice, partially due to reduced expression of tight-junction proteins such as occludin and claudin 5 (Braniste et al., 2014). The BBB allows it to effectively control the flow of chemicals, ions, and cells between the body’s environment and the brain (Engelhardt and Liebner, 2014). The BBB is important because it protects the brain against pathogens and unfavorable immune responses that could harm the neurons and the connections between them (Daneman and Prat, 2015). Many psychiatric disorders, such as major depression, schizophrenia, autism spectrum disorder, and obsessive–compulsive disorder, have been linked to microglial dysregulation (Frick et al., 2013). SCFAs have a direct impact on immune cells and immunological modulators to maintain homeostasis. The influence of SCFAs on intestinal mucosal immunity is well described by Corrêa-Oliveira et al. (2016). However, SCFAs may also have an impact on the peripheral immune system, modulating brain activity. By increasing the intestinal barrier and inhibiting the transfer of bacteria and bacterial metabolites or by direct contact between SCFAs and immune cells, which could decrease neuroinflammation in the brain, systemic inflammation may be reduced (Dalile et al., 2019). SCFAs regulate the maturation and activation of T lymphocytes, macrophages, dendritic cells (DCs), and neutrophils (Corrêa-Oliveira et al., 2016). Neutrophils, the most prevalent granulocyte type, are an essential part of the innate immune system and are produced in the bone marrow. They are the first to appear at the site of inflammation, and they exploit the production of cytokines to draw in other cells, such macrophages (Rodrigues et al., 2016). SCFAs have an immediate effect on neutrophils by regulating the production of proinflammatory cytokines such as tumor necrosis factor (TNF), possibly through histone deacetylase (HDAC) inhibition. By regulating the synthesis of chemokines such as CXC motif chemokine ligand 1 (CXCL1) and CXC motif ligand 8 (CXCL8), they also function as neutrophil chemoattractants. SCFAs affect neutrophil chemotaxis by causing free fatty acid receptor 2 (FFAR2) in these cells to become active (Rodrigues et al., 2016). SCFAs can affect adaptive immune responses by directly or indirectly affecting T-cell development and proliferation (Kim et al., 2014).

The gut and brain are physically linked through neurological connections. The most significant of these neural networks is the vagus nerve, which emerges from the brainstem and innervates the gastrointestinal tract and ENS (Yoo and Mazmanian, 2017). The most direct and well-studied link between the gut and the CNS, the vagus nerve, is another pathway through which gut microbes communicate with the brain (Fülling et al., 2019). Almost the whole digestive system is innervated by the vagus nerve, which has 80% afferent and 20% efferent fibers. The vagal afferent nerve terminals innervate multiple layers of the digestive wall, while the mucosal afferents end within the lamina propria of the intestinal mucosa (Waise et al., 2018). Vagal receptors sense inflammatory chemicals, dietary elements, bacterial metabolites, and regulatory gut peptides to transfer signals to the central nervous system (De Lartigue et al., 2011). However, there is some evidence that the bacteria in the gut can directly activate neurons. Toll-like receptors 3 and 7, which detect viral RNA, as well as Toll-like receptors 2 and 4, which detect peptidoglycan and lipopolysaccharide, are present in the enteric nervous systems of both mice and humans (Brun et al., 2013; Martin et al., 2018). Bacteroides fragilis, Lactobacillus rhamnosus (JB-1), and isolated polysaccharide A of B. fragilis have all been demonstrated to stimulate intestine afferent neurons ex vivo (Mao et al., 2013). Chronic treatment with Bifidobacterium longum NCC3001 reduced the symptoms of anxiety induced by persistent gut inflammation (Bercik et al., 2011b). The effects seen in these trials were eliminated when the vagus nerve’s integrity was compromised through vagotomy (Bravo et al., 2011; Bercik et al., 2011b). Additionally, microbial metabolites have the capacity to directly activate neurons. The receptors FXR and TGR5 are expressed in brain neurons, although healthy individuals have low or undetectable bile acid concentrations in these organs (Huang et al., 2016). Various studies have identified the superior cervical ganglion as the location of G protein-coupled receptor 41 (GPR41) and free fatty acid receptor 3 (FFAR3) receptors (Kimura et al., 2011), prevertebral ganglia (Won et al., 2013), submucosal and myenteric ganglia neurons (Nohr et al., 2013), sympathetic ganglia of the thoracic and lumbar sympathetic trunks, and vagal ganglion (Nohr et al., 2015), suggesting neuronal activation by microbially derived SCFAs. Neuronal innervation of the colonic epithelium is reduced in GF mice and restored by microbial colonization (De Vadder et al., 2018). Gut bacteria also aid in the development of enteric glial cells in mice, which are essential for maintaining neuronal networks and controlling gut homeostasis (Kabouridis et al., 2015; Aktar et al., 2020). The activity of enteric neurons can be influenced by the gut microbiota through chemical communication, according to a recent study showing that activating aryl hydrocarbon receptors in adult mice can affect gut motility by affecting the ENS (Obata et al., 2020).

Alzheimer’s disease (AD) affects approximately 50 million people globally and is the most frequent cause of progressive chronic and irreversible neurological disease and the most common type of dementia in elderly individuals. As the condition progresses, symptoms that impair thinking and memory can seriously compromise even the most basic daily activities (Scheltens et al., 2016; Rutsch et al., 2020). Loss of neurons and progressively worsening synaptic dysfunction are symptoms of AD (Tiraboschi et al., 2004; Alzheimer's, 2016). AD is caused by the formation of aggregates of polymerized forms of β-amyloid precursor protein (Aβ) in soluble multimeric and/or insoluble amyloid deposits in the brain that trigger a cascade of pathological events leading to neurofibrillary tangles, aggregates of hyperphosphorylated tau proteins, formation of neurofibrillary lesions, and ultimately dementia (Scheltens et al., 2016). The inflammasome and its products have been connected to the pathogenesis of AD since a greater expression of IL-1β and IL-18 has been observed in the microglia, astrocytes, and neurons that surround Ab plaques or in the plasma of AD patients (Malaguarnera et al., 2006; Ojala et al., 2009). Peripheral blood mononuclear cells (PBMCs) from AD patients also showed greater expression of NLRP3, ASC, caspase-1, caspase-5, IL-1β, and IL-18 (Saresella et al., 2016). Patients with tauopathies, which are neurodegenerative diseases characterized by the accumulation of aberrant tau protein in the brain, typically exhibit increased levels of cleaved caspase-1 and ASC as well as mature IL-1β in the cortex (Ising et al., 2019). Important evidence links neuroinflammation caused by the NLRP3 inflammasome to the development and progression of AD. AD pathogenesis has been associated with a number of microbiological causes (Atarashi et al., 2011; Geuking et al., 2011). Compared to controls, AD patients’ stool samples showed higher levels of Bacteroidetes and lower levels of Firmicutes and Actinobacteria. Ruminococcaceae, Turicibacteraceae, and Clostridiaceae were all Firmicutes families where AD patients had lower abundances (Vogt et al., 2017). According to several studies, there may be mechanistic links between the pathophysiology of AD and other microbes, such spirochaetes, fungi, and Chlamydia pneumoniae (Lim et al., 2014; Stojkovi et al., 2020). In recent studies, the gut microbiota has also been connected to the etiology of AD. A metabolite microbiota-derived protein found in the cerebral fluid of AD patients and connected to two disease-related biomarkers (phosphorylated tau and phosphorylated tau/A-42) raises the possibility that the gut microbiome plays a role in the etiology of AD (Vogt et al., 2018). When comparing fecal microbiomes and fecal SCFAs between AD-affected mice and wild-type mice at various ages, dramatic increases in Proteobacteria and Verrucomicrobia and marked decreases in Butyricicoccus and Ruminococcus were observed in AD mice, indicating altered microbiota composition and diversity. The decreased level of SCFAs further indicates alterations in many metabolic pathways (Zhang et al., 2017). It was demonstrated that, compared to non-transgenic wild-type mice, the gut microbiota diversity of the commonly utilized APP/PS1 double transgenic mice—which produce a chimeric mouse/human amyloid precursor protein (APP) and a mutant human presenilin 1 (PS1)—was markedly changed. Additionally, compared to healthy control mice with gut microbiota, germ-free APP/PS1 transgenic animals show a striking reduction in the degree of cerebral β-amyloid pathology (Harach et al., 2017). Bäuerl et al. (2018) reported similar findings about the shift in microbiota composition in the transgenic APP/PS1 mouse model, which shows increased numbers of the closely related inflammatory Erysipelotrichaceae family. Furthermore, germ-free APP/PS1 mice showed decreased amyloid pathology compared to conventional mice (Radde et al., 2006).

Parkinson’s disease (PD), which affects more than 1% of the elderly population and 0.3% of the general population worldwide, is the second most prevalent neurodegenerative condition after AD (Tysnes and Storstein, 2017). PD is a progressive neurodegenerative disorder characterized by the inability to control voluntary movements as a result of severe alterations in the function of the substantia nigra and striatum. The degradation of dopaminergic neurons, the accumulation of phosphorylated versions of the neuronal protein α-synuclein (αSyn), mitochondrial malfunction, an excess of reactive oxygen species, and a rise in microglia activation are some of these alterations (Blandini et al., 2000). Inflammation and α-synuclein misfolding are both key pathological mechanisms underlying α-synucleinopathies such as PD (Lema Tom et al., 2013). The pathogenesis of PD largely depends on the accumulation of α-synuclein. The gene for α-synuclein has five exons and is located on chromosome 4q21.3-q22. -synuclein is a protein with 140 amino acids (Mehra et al., 2019). PD symptoms include tremors, trouble walking, a hunched posture, and muscle rigidity. Gastrointestinal issues, most frequently constipation, may affect up to 80% of patients with Parkinson’s disease (Chen et al., 2015) and can precede PD diagnoses by many years (Cersosimo et al., 2013). Growing evidence suggests that gut dysbiosis contributes to the onset, development, and progression of PD (Zhu et al., 2022). Comparing patients with prodromal and/or clinically diagnosed PD to subjects under control, we found that these patients had dysbiosis of the gut microbiota. The general organization and composition of the gut microbiota associated with PD have been examined using culture-independent high-throughput sequencing techniques, and features of the altered microbiota profiles in PD patients have been found (Zhu et al., 2022). Numerous earlier studies found that PD patients had higher α-diversity but lower bacterial diversity than healthy people (Qian et al., 2018; Barichella et al., 2019). Additionally, one study revealed that there were differences in β-diversity (between samples) between PD patients and controls (Boertien et al., 2019). There has been a connection between the clinical characteristics of PD and the decline in bacterial diversity, which is primarily assessed using α-diversity indexes such as Shannon and Simpson. According to a recent study by Heinzel et al. (2021), certain symptoms of PD may be particularly related to the prodromal microbiome, including constipation, possible rapid eye movement sleep behavior disorder (RBD), physical inactivity, smoking, urate levels, and subthreshold parkinsonism. Contrary to sex, inactivity, suspected RBD, constipation, and smoking, which were all connected to β-diversity, were constipation, occupational solvent exposure, and the three previously mentioned variables. Age and medications that reduce urate were linked to both α and β-diversity (Heinzel et al., 2021). However, research by Plassais et al. (2021) revealed that the gut microbiome’s α-diversity is not a biomarker of PD. The intestinal permeability and inflammation caused by the gut dysbiosis associated with PD, such as increased Akkermansia and decreased SCFA-producing bacteria, can facilitate the exposure of the intestinal neural plexus to toxins such as lipopolysaccharide (LPS) and pesticides, which can cause abnormal α-synuclein fibril aggregation and the development of Lewy bodies (Hirayama and Ohno, 2021). Despite people with other diseases, people with PD have a different microbiome composition from people who are healthy or have other neurological disorders (Hasegawa et al., 2015; Keshavarzian et al., 2015; Scheperjans et al., 2015). The intestinal flora in PD patients is lacking in bacteria that produce SCFAs (mostly butyrate), such as taxa from the Lachnospiraceae family (Hill-Burns et al., 2017; Petrov et al., 2017; Barichella et al., 2019) and Faecalibacterium prausnitzii (Keshavarzian et al., 2015; Unger et al., 2016), which have known anti-inflammatory properties. Additionally, certain bacterial species, such as Proteus mirabilis, which causes mice to develop motor impairments, may be the cause of PD-like disease (Choi et al., 2018). Prospective long-term longitudinal microbiome investigations are required to track the development of the disease and characterize changes in the microbiome’s taxonomic composition that contributed to or may potentially have defined the disease state. Uncertainty persists regarding the precise way in which the gut microbiome may affect PD-related symptoms.

Multiple sclerosis (MS) is a neurological and inflammatory condition that affects over two million individuals worldwide. The main symptoms of this condition include demyelination, axonal loss, lymphocyte infiltration into the CNS, and neuroinflammation. Some of the clinical signs of MS include ataxia, poor coordination, hyperreflexia, stiffness, visual and sensory impairment, fatigue, and cognitive deficits. The majority of patients suffer a kind of disease known as relapsing–remitting, which is characterized by a gradual but significant deterioration in neurological function and a progressive reappearance of symptoms (McFarland and Martin, 2007). Most patients have brain lesions or lesions in the brain and spinal cord; however, some people only have lesions in the spinal cord (McFarland and Martin, 2007; Rutsch et al., 2020). Microbes (and the substances they secrete or toxins they produce) are a significant contributor to the pathophysiology of MS among environmental variables (Ronchi et al., 2016; Rutsch et al., 2020). MS patients have a different microbiome composition than healthy individuals (Oleskin and Shenderov, 2016). It is interesting to note that even MS patients with active disease have a different microbiome from those who are in remission, whose microbiota is more comparable to that of healthy controls (Bhargava and Mowry, 2014; Chen et al., 2016; Jangi et al., 2016; Pröbstel and Baranzini, 2018). Greater Firmicutes abundance and the absence of Fusobacteria in pediatric MS patients were associated with a shorter time to relapse (Tremlett et al., 2017). Compared to healthy people, fecal samples from people with MS show alterations in the richness of Mycoplana, Dorea, Pseudomonas, Blautia, and Akkermansia species (Mangalam et al., 2017). Attenuated multiple sclerosis-like disease appears in preclinical models in GF mice (Lee et al., 2011), and mice receiving the intestinal microbiota of MS patients experienced more severe experimental autoimmune encephalomyelitis and had lower proportions of anti-inflammatory regulatory T cells than mice receiving the microbiome of healthy individuals (Berer et al., 2017; Cekanaviciute et al., 2017). The remarkable finding was that transplanting the intestinal microbes of the MS twins into GF animals, which are genetically predisposed to developing experimental autoimmune encephalomyelitis (EAE), was sufficient to promote the illness in vivo with a significantly higher incidence than transplanting the microbes of the healthy twins (Berer et al., 2017). Interestingly, immune cells from mice that received MS-derived samples produced less IL-10 than cells from animals that had their microbiota from healthy twins colonize (Berer et al., 2017). In mice inoculated with healthy fecal samples, the neutralization of IL-10, one of the main regulatory cytokines, increased the incidence of disease (Berer et al., 2017). This important finding demonstrated how the human microbiome may produce particular immune system changes that may be the cause or consequence of the onset of MS. Uncertainty persists regarding whether this role plays a crucial part in the beginning and development of the disease. In light of this, there is considerable interest in the variations in the microbiota of MS patients compared to healthy controls.

Autism spectrum disorder (ASDs) are a set of neurological development changes marked by difficulties with social interaction and communication as well as stereotyped and repetitive conduct (Maiuolo et al., 2021). Constipation, diarrhea, abdominal pain, flatulence, and intestinal gas are common among people with ASD problems (23–70%) and are frequently comorbid with gastrointestinal diseases (Mulle et al., 2013). The gut microbiota mediates the levels of chemical transmitters such as GABA, glutamate, oxytocin and serotonin 5-HT complex in ASD. Due to the low-grade inflammation that ASD patients experience, microbial influences on the immune system may also be very important in determining neuroimmune responses in ASD. New technologies are being applied in this rapidly expanding field of research as it becomes obvious how much microbial metabolites, including taurine, bile acid metabolites, SCFAs, and 5-aminovaleric acid, affect ASD symptoms (Morais et al., 2021). There are few and generally inconsistent ASD studies that highlight the role of the microbiome in pathogenesis. However, there are a few that highlight the differences in bacteria such as Firmicutes, Clostridiales, Prevotella, Bifidobacterium, and Clostridium perfringens, species that are seen between ASD patients and controls (Ho et al., 2020). This results in a change in the composition of the gut microbiota, a reduction in dietary quality, and a deficiency in nutrients (Berding and Donovan, 2016). The scientific literature data generally show a reduction of Bacteroides with a ratio (% ASD child/% control children) equal to 0.71; a reduction of Bifidobacterium with a ratio (% ASD child/% control children) equal to 0.52; a reduction of Escherichia coli with a ratio (%) equal to 0.3; an increase in Faecalibacterium with a ratio (%) equal to 1.32; and an increase in Lactobacillus Clostridium is still present in a largely unchanged amount (Tomova et al., 2015). It is evident that these neurological disorders are accompanied by reduced amounts of beneficial bacteria and larger levels of deadly bacteria, even though it cannot be said that certain bacteria are compatible and connected with the start of ASD (Iglesias-Vázquez et al., 2020). The gut microbiota and its metabolites may be crucially significant in the pathophysiology of ASD (Xu et al., 2019).

Anxiety and depression are mental and neurological disorders that affect 25% of the global population. These two pathological conditions appear to be intimately related: in fact, 85% of people with depression and 90% of people with anxiety disorders both experience considerable anxiety (Bui and Fava, 2017; Maiuolo et al., 2021). Early and late stages of these pathologies have significantly different clinical signs (Groeneweg-Koolhoven et al., 2017). Teenage suicide deaths have increased in recent decades as a result of the rise in depressed symptoms (Jorm et al., 2017; Matsumoto et al., 2017; Weinberger et al., 2018; Twenge et al., 2019). The relationship between anxiety and depression and changes in the stability and composition of the gut microbiota has been thoroughly investigated (Tognini, 2016; Zhao et al., 2018; Bastiaanssen et al., 2019). Numerous studies have recently focused on the relationship between the intestinal microbiota and people who suffer from anxiety and mood disorders. In particular, evidence from human research has demonstrated that when taking into account microbial diversity and taxonomic compositions, there is frequently some variation in the fecal microbiota between patients and healthy controls. Additionally, it was revealed that certain bacteria were linked to clinical traits and metabolic or inflammatory profiles (Huang et al., 2019). There have been some studies on human microbial diversity, but the majority of them have been unable to show a connection between low microbial diversity and depressive disorders (Chen et al., 2014; Naseribafrouei et al., 2014; Zheng et al., 2016). Despite the fact that only one study found that individuals with major depressive disorder (MDD) had a higher alpha diversity of the gut microbiota than healthy subjects, alpha diversity is the number of species that can be detected in a microbial ecosystem (Jiang et al., 2015). Comparing patients with MDD to drug-responders with healthy controls, patients with MDD showed higher fecal a-diversity (higher levels of Enterobacteriaceae and Alistipes but lower levels of Faecalibacterium). Because of this, the authors reported a link between Faecalibacterium and the intensity of depression symptoms that was negative (Jiang et al., 2015). Interesting changes in the fecal microbiota have also been found in patients with anxiety disorders. They observed that patients with generalized anxiety disorder (GAD) had lower levels of microbial diversity and richness, which was correlated with lower levels of short-chain fatty acid producers such as Eubacterium rectale and Fecalibacterium and higher levels of Ruminococcus, Escherichia, Shigella, and Fusobacterium (Jiang et al., 2018). According to another study, probiotics (Bifidobacterium bifidum, Lactobacillus acidophilus, and Lactobacillus casei) administered to MDD patients dramatically reduced depression symptoms when compared to a placebo (Akkasheh et al., 2016). The potential of bacteria to produce 3,4-dihydroxyphenylacetic acid, a metabolite of dopamine, correlates favorably with mental health according to fecal metagenomic data, which raises the possibility that microbes play a role in the production of different neuroactive molecules during depression than under normal conditions (Valles-Colomer et al., 2019). Lactobacillus rhamnosus releases GABA and activates GABA receptors in the brain (that is, GABA _Aα2 and GABA _B1b receptors) and has been revealed to attenuate depression and anxiety-like behaviors in mice (Bravo et al., 2011).

Stroke is the second leading cause of death worldwide. The morbidity and mortality of stroke grow in many countries, contributing to financial burden and loss of life quality and thus diminishing the national happiness index. Approximately 15 million people around the world are victims of a stroke every year (Feigin et al., 2017). They may occur due to modifications in various diseases, such as cerebrovascular disease, atherosclerosis, dyslipidemia, diabetes, and arterial hypertension (Goldman et al., 2022). However, to date, few studies have focused on exploring the correlation between hemorrhagic stroke and the gut microbiota. GM microflora may be involved in the development of stroke and/or brain injuries (Singh et al., 2016). Studies have reported that ischemic stroke accounts for ~80% of all strokes (Sadler et al., 2020), and the gut microbiota plays an essential role in the pathogenesis and prognosis of ischemic stroke. Multiple studies have shown that ischemic stroke significantly changes the gut microbiota composition (Ling et al., 2020; Xiang et al., 2020; Xu et al., 2021). Patients suffering from transient ischemic attack or stroke have been found to have opportunistic pathogens such as Desulfovibrio, Enterobacter, Megasphaera, and Osicillibacter, as well as fewer beneficial or commensal pathogens such as Bacteroides, Fecalibacterium, and Prevotella (Yin et al., 2015). The abundance of Peptococcaceae and Prevotellaceae is linked to stroke severity (Tiwari et al., 2023). Recently, a preclinical study also suggested that alterations in the gut microbiota were associated with hemorrhagic transformation (HT). The relative abundance of Proteobacteria and Actinobacteria was significantly increased in HT rats after experimental stroke, indicating that the gut microbiota is involved in the progression of ischemic stroke (Huang et al., 2022). The precise role and mechanism of GM in the onset and progression of stroke and brain injury remain unknown. Although animal models have yielded fascinating results, more clinical research is needed to fully elucidate the potential of such microbial therapeutic modalities.