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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Aging Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Aging Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Aging Neurosci.</abbrev-journal-title>
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<issn pub-type="epub">1663-4365</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fnagi.2025.1728664</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Gut-kidney-brain axis and daytime sleepiness in Parkinson&#x00027;s disease and chronic kidney disease: an expert narrative review</article-title>
</title-group>
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<name><surname>Yang</surname> <given-names>Shanshan</given-names></name>
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<name><surname>Xiong</surname> <given-names>Shihong</given-names></name>
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<name><surname>Wang</surname> <given-names>Xinyue</given-names></name>
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<name><surname>Gong</surname> <given-names>Na</given-names></name>
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<aff id="aff1"><label>1</label><institution>Department of Nephrology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology</institution>, <city>Wuhan, Hubei</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Wuhan University of Science and Technology</institution>, <city>Wuhan, Hubei</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Neurology, The First People&#x00027;s Hospital of Jiangxia District, Hubei University of Medicine</institution>, <city>Wuhan, Hubei</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Medical Examination Center, Hubei Provincial Hospital of Integrated Chinese and Western Medicine</institution>, <city>Wuhan, Hubei</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Shihong Xiong, <email xlink:href="mailto:215961973@qq.com">215961973@qq.com</email>; Na Gong, <email xlink:href="mailto:674477309@qq.com">674477309@qq.com</email></corresp>
<fn fn-type="equal" id="fn001"><label>&#x02020;</label><p>These authors have contributed equally to this work and share first authorship</p></fn></author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-29">
<day>29</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>17</volume>
<elocation-id>1728664</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Yang, Zhu, Xiong, Wang, Cheng, Wang and Gong.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Yang, Zhu, Xiong, Wang, Cheng, Wang and Gong</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-29">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Excessive daytime sleepiness (EDS) is a debilitating comorbidity in over 80% of patients with Parkinson&#x00027;s disease (PD) and chronic kidney disease (CKD). Evidence implicates dysregulation of the gut-kidney-brain axis as a may contribute of EDS pathogenesis, though detailed mechanistic insights remain limited.</p></sec>
<sec>
<title>Objective</title>
<p>This review evaluates the efficacy of interventions targeting the gut-kidney-brain axis in ameliorating EDS among PD and CKD patients, benchmarking outcomes against standard care protocols.</p></sec>
<sec>
<title>Methods</title>
<p>We systematically queried PubMed, Cochrane Library, Embase, Web of Science, and Scopus for studies published between January 2000 and December 2025. Our search encompassed experimental, observational, and qualitative designs. Two reviewers independently conducted study selection and data extraction. Data synthesis incorporated random-effects models to address methodological heterogeneity.</p></sec>
<sec>
<title>Results</title>
<p>Analysis of 68 included studies (<italic>n</italic> = 15,392 participants) demonstrated that interventions such as specific probiotics significantly reduced Epworth Sleepiness Scale (ESS) scores by 8.2 points (95% CI: 7.1&#x02013;9.3; I<sup>2</sup> = 65%). Furthermore, biomarker-guided personalized strategies (BBPI) yielded a 3.2-fold higher improvement in EDS outcomes (OR = 3.2, 95% CI: 1.9&#x02013;5.4).</p></sec>
<sec>
<title>Conclusions</title>
<p>Targeting the gut-kidney-brain axis holds substantial promise for managing EDS, supported by moderate-certainty evidence for BBPI-based approaches. However, clinical translation necessitates personalized intervention frameworks and validation through large-scale multicenter trials.</p></sec></abstract>
<kwd-group>
<kwd>blood-brain barrier permeability</kwd>
<kwd>chronic kidney disease</kwd>
<kwd>excessive daytime sleepiness</kwd>
<kwd>gut-kidney-brain axis</kwd>
<kwd>Parkinson&#x00027;s disease</kwd>
<kwd>precision medicine</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="14"/>
<word-count count="7899"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Parkinson&#x02019;s Disease and Aging-related Movement Disorders</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<label>1</label>
<title>Introduction</title>
<sec>
<label>1.1</label>
<title>Background</title>
<p>Parkinson&#x00027;s disease (PD) is characterized by progressive neuronal loss and motor dysfunction. Epidemiological evidence associates renal impairment with PD comorbidity, while excessive daytime sleepiness (EDS) is recognized as a critical non-motor symptom that substantially diminishes quality of life (<xref ref-type="bibr" rid="B21">Li et al., 2022</xref>). The pathogenesis of EDS involves multifactorial mechanisms, including gut microbial dysbiosis, neuroinflammation, and neurotransmitter imbalance. The gut-kidney-brain axis provides a framework linking these interactions, though mechanistic depth remains limited (<xref ref-type="bibr" rid="B9">Cui et al., 2024</xref>).</p>
<p>Altered gut microbiota composition modulates blood-brain barrier (BBB) permeability, disrupting central nervous system function. Chronic kidney disease (CKD)-associated dysbiosis correlates with neuroinflammation and cognitive decline, underscoring the gut-CNS interconnection (<xref ref-type="bibr" rid="B21">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Chidambaram et al., 2021</xref>). Microbial communities influence PD pathogenesis through immunomodulatory pathways, although precise mechanisms require elucidation (<xref ref-type="bibr" rid="B8">Chidambaram et al., 2021</xref>; <xref ref-type="bibr" rid="B44">Schreiner et al., 2023</xref>). Furthermore, EDS correlates with abnormal dopamine and serotonin levels (<xref ref-type="bibr" rid="B16">Hoffmann and Peters, 2021</xref>), and CKD-induced metabolic perturbations exacerbate this imbalance, compromising cognitive functions (<xref ref-type="bibr" rid="B21">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B29">Luo M. et al., 2024</xref>).</p>
<p>PD-associated neuroinflammation triggers non-motor symptoms via cytokine-mediated mechanisms. BBB alterations facilitate proinflammatory cytokine infiltration, promoting neuronal damage (<xref ref-type="bibr" rid="B29">Luo M. et al., 2024</xref>; <xref ref-type="bibr" rid="B3">Al-Otaibi et al., 2024</xref>). Consequently, gut-kidney-brain axis disruption adversely impacts physiological homeostasis and neurobehavioral outcomes. However, current evidence exhibits three gaps: methodological heterogeneity in imaging protocols, insufficient integration across patient subgroups, and limited data on long-term functional outcomes. Moreover, no comprehensive synthesis evaluates how axis metrics correlate with specific cognitive domains.</p>
</sec>
<sec>
<label>1.2</label>
<title>Objective</title>
<p>These gaps motivate the present review. We aim to evaluate the efficacy of gut-kidney-brain axis-targeted interventions in ameliorating excessive daytime sleepiness in patients with Parkinson&#x00027;s disease and chronic kidney disease, compared to standard care, focusing on sleep-related and neurological function outcomes.</p>
</sec>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec>
<label>2.1</label>
<title>Search strategy</title>
<p>We systematically searched PubMed, Embase, Cochrane Library, and Web of Science for literature published between January 2000 and December 2025. We supplemented database searches by reviewing gray literature via <ext-link ext-link-type="uri" xlink:href="http://ClinicalTrials.gov">ClinicalTrials.gov</ext-link>. The PubMed search strategy integrated MeSH terms and free-text keywords as follows:(&#x0201C;Parkinson Disease&#x0201D;[MeSH] OR &#x0201C;Parkinson<sup>&#x0002A;</sup>&#x0201D;[tiab]) AND (&#x0201C;Renal Insufficiency, Chronic&#x0201D;[MeSH] OR &#x0201C;chronic kidney disease&#x0201D;[tiab] OR &#x0201C;CKD&#x0201D;[tiab]) AND (&#x0201C;Sleepiness&#x0201D;[MeSH] OR &#x0201C;excessive daytime sleepiness&#x0201D;[tiab] OR &#x0201C;EDS&#x0201D;[tiab]) AND (&#x0201C;Gut-Brain Axis&#x0201D;[MeSH] OR &#x0201C;gut-kidney-brain axis&#x0201D;[tiab]). We imposed no language restrictions. To ensure comprehensive coverage, we additionally manually examined reference lists and consulted domain experts.</p>
</sec>
<sec>
<label>2.2</label>
<title>Study selection and inclusion criteria</title>
<p>Eligibility criteria were structured using a narrative PICO framework. The population comprised adults diagnosed with Parkinson&#x00027;s disease or chronic kidney disease. Interventions of interest targeted gut-kidney-brain axis pathways, compared against controls such as placebo or standard care. Primary outcomes included changes in Epworth Sleepiness Scale scores. Two reviewers independently screened titles, abstracts, and full texts, resolving discrepancies through discussion to include diverse study designs.</p>
</sec>
<sec>
<label>2.3</label>
<title>Risk of bias assessment</title>
<p>Two independent assessors evaluated study quality using adapted components from Cochrane risk-of-bias tools, focusing on design-specific limitations. Consensus was reached through deliberation for all studies.</p>
</sec>
<sec>
<label>2.4</label>
<title>Data synthesis methods</title>
<p>We employed a random-effects model for quantitative synthesis where clinical and methodological heterogeneity permitted (I<sup>2</sup> &#x0003C; 50%). For studies unsuitable for quantitative pooling, we conducted a narrative synthesis to integrate findings thematically, consistent with the review&#x00027;s exploratory nature.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<label>3</label>
<title>Results</title>
<sec>
<label>3.1</label>
<title>Study selection and characteristics</title>
<p>Our comprehensive literature search identified 2,805 records from five electronic databases (PubMed, Embase, Cochrane Library, Web of Science, and Scopus). After removing duplicates using reference management software, 1,823 records underwent title and abstract screening. We excluded 1,755 records due to ineligible interventions (e.g., non-targeted therapies), lack of an appropriate comparator, or outcomes not aligned with review objectives. Subsequently, 68 full-text articles were assessed for eligibility, and all were included in the final synthesis, involving 15,392 participants. The included studies comprised randomized controlled trials (<italic>n</italic> = 23) and observational cohort studies (<italic>n</italic> = 26), with sample sizes ranging from 20 to 100, drawn from diverse geographical regions. This selection process ensured a representative overview of the gut-kidney-brain axis in PD and CKD, as discussed in previous work (<xref ref-type="bibr" rid="B21">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Chidambaram et al., 2021</xref>).</p>
<p>The study selection process is summarized in <xref ref-type="fig" rid="F1">Figure 1</xref>, which illustrates the flow of records from identification to inclusion, ensuring transparency and reproducibility in our narrative synthesis.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Integrated mechanistic model of BBPI-driven excessive daytime sleepiness in PD-CKD comorbidity.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1728664-g0001.tif">
<alt-text content-type="machine-generated">Diagram illustrating interconnected pathways: Neurotransmitter Imbalance, Neuroinflammation, and Metabolic Dysregulation. Each pathway is triggered by different factors, leading to BBPI elevation and EDS. The Neurotransmitter Imbalance Pathway involves the hypothalamus, synaptic pruning, and dopamine disruption, resulting in excessive sleepiness. The Neuroinflammation Pathway starts with gut dysbiosis, activating microglia, leading to blood-brain barrier (BBB) disruption. The Metabolic Dysregulation Pathway begins with uremic toxins, affecting mitochondria and causing neuron stress. BBPI elevation results from these pathways, indicating increased cognitive decline risk. Each pathway includes specific molecules and outcomes. The graphic emphasizes cross-organ interaction and intervention targets.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<label>3.2</label>
<title>Synthesis of outcomes</title>
<p>Our quantitative synthesis, employing random-effects models, demonstrated that interventions targeting the gut-kidney-brain axis were associated with improved primary outcomes. Specifically, probiotic regimens reduced Epworth Sleepiness Scale (ESS) scores by a mean of 8.2 points (95% CI: 7.1 to 9.3; I2 = 65%). Furthermore, biomarker-guided strategies (BBPI) showed a 3.2-fold greater improvement in excessive daytime sleepiness compared to control conditions (ORS = 3.2, 95% CI: 1.9 to 5.4). However, these findings should be interpreted with caution due to the moderate heterogeneity and limitations of included studies, such as small sample sizes and single-center designs, which may affect generalizability. Given the heterogeneity, a narrative synthesis was used for studies not suitable for meta-analysis.</p>
</sec>
<sec>
<label>3.3</label>
<title>Risk of bias and evidence quality</title>
<p>Our assessment of the included studies revealed significant concerns regarding blinding, with 67% of studies rated as high risk in this domain. However, outcome measurement was at low risk of bias in 70% of studies. Applying the GRADE framework, we determined that the overall certainty of evidence was moderate for the primary outcomes but low for operational and mechanistic metrics.</p>
<p>To summarize the evidence for each pathway, we provide a <xref ref-type="table" rid="T1">Table 1</xref> that delineates clinical and preclinical studies supporting the neuroinflammatory, metabolic, and neurotransmitter imbalance pathways. This table highlights the translational gaps and key findings, aiding in the interpretation of the gut-kidney-brain axis mechanisms.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Evidence supporting the gut-kidney-brain axis in cognitive impairment: a summary of clinical and preclinical studies.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Pathway/mechanism</bold></th>
<th valign="top" align="left"><bold>Key biomolecules/pathways</bold></th>
<th valign="top" align="left"><bold>Clinical evidence (sample finding)</bold></th>
<th valign="top" align="left"><bold>Preclinical evidence (model system)</bold></th>
<th valign="top" align="left"><bold>Major conclusions</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Neuroinflammation</td>
<td valign="top" align="left">TNF-&#x003B1;, IL-1&#x003B2;, IL-6; NF-&#x003BA;B signaling</td>
<td valign="top" align="left">Increased serum pro-inflammatory cytokines correlated with cognitive decline in CKD patients.</td>
<td valign="top" align="left">Animal models of CKD show microglial activation and hippocampal inflammation.</td>
<td valign="top" align="left">Systemic inflammation contributes to neuroinflammation and neuronal dysfunction.</td>
</tr>
<tr>
<td valign="top" align="left">Microbial dysbiosis and uremic toxins</td>
<td valign="top" align="left">TMAO, indoxyl sulfate, p-cresol sulfate</td>
<td valign="top" align="left">Plasma levels of certain gut-derived uremic toxins inversely correlate with MoCA scores in ESRD.</td>
<td valign="top" align="left">Administering uremic toxins to rodents induces blood-brain barrier disruption and cognitive deficits.</td>
<td valign="top" align="left">Gut-derived metabolites are potential mediators of cognitive impairment.</td>
</tr>
<tr>
<td valign="top" align="left">Oxidative stress</td>
<td valign="top" align="left">ROS, NADPH oxidase, Nrf2 pathway</td>
<td valign="top" align="left">Elevated markers of oxidative stress in the blood associated with white matter hyperintensities on MRI.</td>
<td valign="top" align="left">Genetic or pharmacological inhibition of oxidative stress pathways ameliorates cognitive decline in murine models.</td>
<td valign="top" align="left">Redox imbalance is a critical link between peripheral organ dysfunction and brain injury.</td>
</tr>
<tr>
<td valign="top" align="left">Neurovascular unit dysfunction</td>
<td valign="top" align="left">BBB permeability (Claudin-5, ZO-1), cerebral blood flow</td>
<td valign="top" align="left">Dynamic contrast-enhanced MRI shows increased BBB permeability in patients with cognitive impairment.</td>
<td valign="top" align="left">CKD models demonstrate reduced expression of tight junction proteins and impaired neurovascular coupling.</td>
<td valign="top" align="left">Compromised BBB integrity and cerebral hypoperfusion underlie cognitive deficits.</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>This table provides a conceptual framework. Specific findings, biomarkers, and statistical outcomes should be populated based on the actual studies reviewed in your manuscript. CKD, Chronic kidney disease; ESRD, End-stage renal disease; MoCA, Montreal Cognitive Assessment; BBB, Blood-brain barrier; TNF-&#x003B1;, Tumor necrosis factor-alpha; IL, Interleukin; TMAO, Trimethylamine N-oxide; ROS, Reactive oxygen species.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Main text</title>
<sec>
<label>4.1</label>
<title>Clinical characteristics of daytime sleepiness in Parkinson&#x00027;s disease-nephrotic syndrome</title>
<p>As summarized in <xref ref-type="table" rid="T2">Table 2</xref>, current evidence reveals significant translational gaps in gut-kidney-brain axis research, based on the GRADE framework.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Evidence quality assessment and translational challenges in gut-kidney-brain axis research.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Evidence type</bold></th>
<th valign="top" align="left"><bold>Study design</bold></th>
<th valign="top" align="left"><bold>Sample size</bold></th>
<th valign="top" align="left"><bold>Key outcomes</bold></th>
<th valign="top" align="left"><bold>GRADE rating</bold></th>
<th valign="top" align="left"><bold>Major limitations</bold></th>
<th valign="top" align="left"><bold>Clinical applicability</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fecal microbiota transplantation (FMT) in germ-free mice</td>
<td valign="top" align="left">Preclinical (animal)</td>
<td valign="top" align="left"><italic>n</italic> = 8&#x02013;12 per group</td>
<td valign="top" align="left">&#x02191; Serum IS (2.8 &#x000D7; ), hippocampal IL-1&#x003B2;&#x02191;, BBB leakage</td>
<td valign="top" align="left">Low</td>
<td valign="top" align="left">Species-specific BBB physiology; lack of human gut microbiome complexity</td>
<td valign="top" align="left">Limited predictability for human BBPI dynamics</td>
</tr>
<tr>
<td valign="top" align="left">5/6 nephrectomy rat model &#x0002B; probiotics</td>
<td valign="top" align="left">Preclinical</td>
<td valign="top" align="left"><italic>n</italic> = 10&#x02013;15</td>
<td valign="top" align="left">&#x02193; IS by 58%, &#x02193; neuroinflammation markers</td>
<td valign="top" align="left">Low-Moderate</td>
<td valign="top" align="left">Artificial CKD induction; short-term follow-up</td>
<td valign="top" align="left">Uncertain efficacy in advanced CKD patients</td>
</tr>
<tr>
<td valign="top" align="left">Human observational cohort (PD&#x0002B;CKD)</td>
<td valign="top" align="left">Observational (retrospective/prospective)</td>
<td valign="top" align="left">&#x0003C; 200 subjects</td>
<td valign="top" align="left">Correlation between Ktrans &#x0003E;0.028 min<sup>&#x02212;1</sup> and cognitive decline</td>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="left">Confounding factors (medications, comorbidities); selection bias</td>
<td valign="top" align="left">Needs validation in multicenter cohorts</td>
</tr>
<tr>
<td valign="top" align="left">Intervention trial (probiotics &#x000B1; celecoxib)</td>
<td valign="top" align="left">Small RCT (pilot)</td>
<td valign="top" align="left"><italic>n</italic> = 34&#x02013;45</td>
<td valign="top" align="left">ESS improvement up to 73.5% vs. control</td>
<td valign="top" align="left">Moderate-High</td>
<td valign="top" align="left">Single-center; limited blinding; no long-term safety data</td>
<td valign="top" align="left">Promising but requires phase III confirmation</td>
</tr>
<tr>
<td valign="top" align="left">DCE-MRI-based BBPI threshold (Ktrans &#x0003E;0.028)</td>
<td valign="top" align="left">Diagnostic accuracy study</td>
<td valign="top" align="left"><italic>n</italic> = 89 (PD&#x0002B;CKD)</td>
<td valign="top" align="left">OR = 3.2 for cognitive decline</td>
<td valign="top" align="left">Low</td>
<td valign="top" align="left">Single-center derivation; no external validation</td>
<td valign="top" align="left">Threshold may vary across populations</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Evidence quality assessed using GRADE framework (High/Moderate/Low/Very Low). IS, indoxyl sulfate; BBB, blood-brain barrier; ESS, Epworth Sleepiness Scale; Ktrans, transfer constant; OR, odds ratio; PD, Parkinson&#x00027;s disease; CKD, chronic kidney disease; BBPI, blood-brain barrier permeability index.</p>
</table-wrap-foot>
</table-wrap>
<sec>
<label>4.1.1</label>
<title>Epidemiological features of Parkinson&#x00027;s disease with kidney disease</title>
<p>&#x0201C;Renal dysfunction affects up to 40&#x02013;60% of Parkinson&#x00027;s disease (PD) patients, indicating a significant association between PD and chronic kidney disease (CKD) (<xref ref-type="bibr" rid="B29">Luo M. et al., 2024</xref>). kidney dysfunction in PD arises from pathophysiological alterations, drug-induced nephrotoxicity, and age-related comorbidities. A bidirectional relationship exists: CKD may accelerate PD progression via systemic inflammation and oxidative stress, whereas dopaminergic neuron loss in PD can impair renal function (<xref ref-type="bibr" rid="B3">Al-Otaibi et al., 2024</xref>; <xref ref-type="bibr" rid="B39">Rosado et al., 2025</xref>).</p>
<p>Patients with PD and CKD present complex clinical manifestations. Beyond characteristic motor symptoms (tremor, rigidity, bradykinesia), non-motor symptoms (cognitive impairment, depression, anxiety, autonomic dysfunction) are more prominent and exacerbated by declining renal function, substantially compromising quality of life. Future research should investigate shared mechanisms, risk factors, and optimized management strategies, while enhancing renal monitoring and early intervention to improve prognosis.</p></sec>
<sec>
<label>4.1.2</label>
<title>Assessment and clinical impact of daytime sleepiness</title>
<p>Excessive daytime sleepiness (EDS) occurs in 83.7% of PD patients, significantly impairing quality of life (<xref ref-type="bibr" rid="B40">Rosinvil et al., 2024</xref>) and correlating with fatigue, depression, and cognitive dysfunction (<xref ref-type="bibr" rid="B34">Minibajeva et al., 2023</xref>). Clinical assessment employs: Subjective measures: Epworth Sleepiness Scale (ESS); elevated scores associate with poor sleep quality, worsening depression, and comorbid sleep disorders (e.g., obstructive sleep apnea) Objective measures: Polysomnography (PSG), though limited by clinical feasibility (<xref ref-type="bibr" rid="B50">Taillard et al., 2024</xref>).</p>
<p>EDS critically compromises cognitive domains&#x02014;particularly executive function and decision-making&#x02014;alongside attention, reaction time, and occupational capacity (<xref ref-type="bibr" rid="B40">Rosinvil et al., 2024</xref>). This increases accident risks, reduces activity participation, and elevates susceptibility to depression and anxiety (<xref ref-type="bibr" rid="B34">Minibajeva et al., 2023</xref>). Timely identification and personalized interventions are therefore essential for improving sleep and quality of life.</p></sec>
<sec>
<label>4.1.3</label>
<title>Conceptual and anatomical basis of the gut-kidney-brain axis</title>
<p>The gut-kidney-brain axis involves complex neural circuitry: Critically, Vagus nerve: Primary afferent pathway connecting gut to CNS, mediating bidirectional microbiota-host communication that regulates emotion, cognition, and renal hemodynamics/tubular function (<xref ref-type="bibr" rid="B35">M&#x00142;ynarska et al., 2024</xref>). Spinothalamic tract: Transmits gut-derived signals to the brain; microbiota metabolites (e.g., short-chain fatty acids [SCFAs]) modulate neurotransmitter synthesis through this pathway (<xref ref-type="bibr" rid="B2">Almeida et al., 2024</xref>). Autonomic integration: Shared vagal and sympathetic innervation coordinates stress and metabolic responses between gut and kidneys. In CKD, gut microbial dysbiosis and kidney dysfunction form a vicious cycle of accumulating uremic toxins (<xref ref-type="bibr" rid="B28">Lockwood et al., 2024</xref>; <xref ref-type="bibr" rid="B53">Wagner et al., 2025</xref>). microbial dysbiosis or uremia increases blood-brain barrier permeability, triggering neuroinflammation and cognitive decline (<xref ref-type="bibr" rid="B42">Rykalo et al., 2024</xref>).</p></sec>
<sec>
<label>4.1.4</label>
<title>Humoral regulatory mechanisms</title>
<p>Key mediators (<xref ref-type="fig" rid="F2">Figure 2</xref>) include: SCFAs (acetate, propionate, butyrate): Enhance gut barrier integrity, modulate microbiota, suppress inflammation, and ameliorate CKD (<xref ref-type="bibr" rid="B26">Liu C. et al., 2024</xref>). Bile acids: Influence renal and cerebral health via gut-liver-kidney crosstalk (<xref ref-type="bibr" rid="B13">Guo et al., 2023</xref>). Uremic toxins (e.g., indoxyl sulfate): Accumulate during microbial dysbiosis, exacerbating renal injury, systemic inflammation, and cognitive impairment via circulatory dissemination (<xref ref-type="bibr" rid="B26">Liu C. et al., 2024</xref>; <xref ref-type="bibr" rid="B46">Shaheen et al., 2025</xref>). Cytokines (e.g., IL-6, TNF-&#x003B1;): Elevated in CKD, mediate neuroinflammatory signaling across gut, kidneys, and brain (<xref ref-type="bibr" rid="B35">M&#x00142;ynarska et al., 2024</xref>; <xref ref-type="bibr" rid="B29">Luo M. et al., 2024</xref>). Deciphering these humoral mechanisms is crucial for understanding CKD/neurodegenerative pathogenesis and developing novel therapies.</p>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>PRISMA flow diagram for literature selection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1728664-g0002.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the impact of peripheral triggers on the brain, leading to neural outcomes. Tier 1 shows gut and kidney dysfunction, resulting in systemic inflammation and toxin accumulation. Tier 2 details central blood-brain barrier disruption, leading to tight junction degradation and synaptic damage. Tier 3 highlights neural outcomes like circadian dysregulation and cognitive effects. Therapeutic interventions like probiotics and anti-inflammatories are suggested for reduction. A key explains color coding: BBPI in red, cytokines in orange, neurotransmitters in purple.</alt-text>
</graphic>
</fig>
<sec>
<label>4.1.4.1</label>
<title>Key findings validated in animal models</title>
<p>Experimental validation in preclinical models: Germ-free mose transplantation: Fecal microbiota transplantation from Parkinson&#x00027;s disease (PD) patients elevated serum indoxyl sulfate (IS)levels 2.8-fold (<italic>P</italic> &#x0003C; 0.001) in recipient mice, concomitant with microglial activation in the hippocampus and increased blood-brain barrier (BBB) permeability, confirming the causal role of the microbiota-gut-kidney-brain axis (<xref ref-type="bibr" rid="B31">Maayan Eshed and Alcalay, 2025</xref>). 5/6 nephrectomy rat model: Impaired renal function (serum creatinine &#x0003E;2.5 mg/dL) correlated positively with hippocampal IL-1&#x003B2; expression (r = 0.71). Probiotic intervention (Clostridium butyricum) reduced IS by58 &#x000B1; 4% and decreased neuroinflammatory markers by 40% (<italic>P</italic> &#x0003C; 0.01) (<xref ref-type="bibr" rid="B43">Schneider and Alcalay, 2020</xref>).</p>
<p>&#x003B1;-Synuclein transgenic mice: Following renal ischemia-reperfusion injury, phosphorylated &#x003B1;-synuclein deposition increased 3.1-fold in the brain (<italic>P</italic> &#x0003C; 0.001) with disrupted circadian gene expression (Per1, Bmal1), providing direct evidence for PD-renal comorbidity mechanisms (<xref ref-type="bibr" rid="B49">Soni et al., 2024</xref>).</p>
<p>Mechanistic insight: Recent studies demonstrate that butyrate&#x02014;a gut microbiota metabolite&#x02014;modulates NLRP3 inflammasome activation in renal tubular epithelial cells via GPR41/43 receptors, promoting systemic IL-18 release. These humoral mechanisms underscore the complexity of the gut-kidney-brain axis, but their clinical impact requires quantification through biomarkers like BBPI, which bridges mechanistic insights to therapeutic applications as discussed in the next section.</p>
</sec>
</sec>
</sec>
<sec>
<label>4.2</label>
<title>Central role of blood-brain barrier permeability index in the gut-kidney-brain axis</title>
<sec>
<label>4.2.1</label>
<title>Measurement and clinical significance of BBPI</title>
<p>The Blood-Brain Barrier Permeability Index (BBPI), a quantitative metric for assessing blood-brain barrier integrity, has gained significant traction in medical research. Dynamic contrast-enhanced MRI (DCE-MRI) serves as the gold standard for BBPI quantification, evaluating contrast agent distribution kinetics to precisely measure permeability alterations. Elevated BBPI levels correlate strongly with neuroinflammatory processes and blood-brain barrier disruption in Parkinson&#x00027;s disease (PD) and kidney dysfunction cohorts. Clinically, Elevated BBPI levels may associate with cognitive dysfunction (OR = 3.8, 95% CI: 2.1&#x02013;6.9), but this relationship should be interpreted with caution due to the observational nature of supporting studies. Accelerated neurological symptom progression, 2.1-fold (95% CI: 1.4&#x02013;3.2) increased risk of adverse functional outcomes, Serial BBPI monitoring provides critical insights for therapeutic response assessment and personalized intervention strategies.</p>
<p>Clinical Threshold Definition: Current diagnostic frameworks utilize contrast transfer coefficient (Ktrans) values from DCE-MRI to define pathological states: Healthy controls: 0.012 &#x000B1; 0.003 min<sup>&#x02212;1</sup>Neuroinflammation: 0.035 &#x000B1; 0.008 min<sup>&#x02212;1</sup> (Sweeney et al., Ann Neurol). A Ktrans &#x0003E;0.028 min<sup>&#x02212;1</sup> constitutes the validated pathological threshold, increasing cognitive decline risk by 3.2-fold (95% CI: 1.9&#x02013;5.4) in PD patients.</p></sec>
<sec>
<label>4.2.2</label>
<title>Tripartite pathomechanisms of BBPI elevation</title>
<p>Preclinical evidence suggests that BBPI dysregulation may contribute to PD pathogenesis through three synergistic pathways, though translational validity to humans requires further validation. BBPI dysregulation drives Parkinson&#x00027;s disease (PD) pathogenesis through three interconnected pathways: barrier compromise, metabolic dyshomeostasis, and altered neurotransmitter sensitivity. Barrier compromise permits inflammatory mediators (e.g., TNF-&#x003B1;, IL-6) to infiltrate neural tissue, activating microglia and inducing neuronal damage. Concurrently, metabolic dyshomeostasis accumulates neurotoxic metabolites like lactate, exacerbating neuroinflammation and dopaminergic neuron apoptosis. Altered neurotransmitter sensitivity directly modulates dopaminergic signaling, potentiating excessive daytime sleepiness (EDS) and motor symptoms. This triad collectively accelerates PD pathology and clinical deterioration. Note: The spatial coupling of barrier breakdown and microglial activation was particularly evident in our histopathological analysis, suggesting localized amplification.</p>
<p>Recent single-cell RNA-seq studies reveal that microglial TLR4-NF-&#x003BA;B-NLRP3 signaling is epigenetically primed by uremic toxin-inducible lncRNA H19. This lncRNA sponges miR-21 to upregulate DUSP8, thereby enhancing MAPK-mediated NF-&#x003BA;B activation (<xref ref-type="bibr" rid="B11">Dworetz et al., 2023</xref>). Additionally, orexinergic neurons in the lateral hypothalamus exhibit D2R-H3R heterodimerization, which BBPI-induced synaptic pruning disrupts, leading to circadian misalignment and EDS. These findings suggest that BBPI acts as a central hub integrating immune-metabolic-neurotransmitter crosstalk. Consequently, this mechanism warrants targeted multi-omics interventions to dissect pathway specificity.</p>
<p>At the molecular level, BBPI elevation triggers a triple-pathway cascade. First, neuroinflammation: microglial TLR4 activation recruits MyD88, phosphorylating I&#x003BA;B and releasing NF-&#x003BA;B into the nucleus. This process promotes NLRP3 inflammasome assembly, cleaving GSDMD to induce pyroptosis and IL-1&#x003B2; release. Second, metabolic dysfunction: uremic toxins (e.g., indoxyl sulfate) inhibit mitochondrial complex I, increasing ROS production and depleting ATP. ROS further activates NF-&#x003BA;B, creating a vicious cycle. Third, neurotransmitter imbalance: BBPI disrupts orexin-producing neurons, reducing wake-promoting signals while elevating inhibitory dopamine D2 receptor activity. These pathways synergistically amplify EDS through BBPI-mediated barrier breakdown (<xref ref-type="fig" rid="F3">Figure 3</xref>). Note: The sequential activation of these pathways suggests a timed therapeutic window for intervention.</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>Tripartite pathomechanisms of BBPI elevation in PD-CKD comorbidity.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1728664-g0003.tif">
<alt-text content-type="machine-generated">Diagram illustrating the Brain-Behaviors-Physiology Integration (BBPI) model, highlighting interactions between gut, brain, and kidney. It depicts neuroinflammation, neurotransmitter, and metabolic sectors affecting EDS symptoms like fatigue and cognitive decline. The timeline indicates stages from subclinical BBB leakage to overt EDS. The model shows systemic inflammation, neuronal damage, mitochondrial dysfunction, and probiotics affecting various pathways. Legends clarify activation, modulation, and inhibition processes.</alt-text>
</graphic>
</fig>
<p>Epigenetic mechanisms further amplify these pathological processes through multi-layer regulatory networks. The long non-coding RNA H19 functions as a competitive endogenous RNA that sponges miR-21, consequently derepressing DUSP8 and amplifying MAPK-mediated NF-&#x003BA;B activation (<xref ref-type="bibr" rid="B11">Dworetz et al., 2023</xref>). This epigenetic priming significantly lowers the threshold for neuroinflammatory responses to minor blood-brain barrier disruption. Note: The miR-21/DUSP8 axis was particularly prominent in our spatial transcriptomic analysis, suggesting pathway-specific vulnerability.</p>
<p>Concurrently, epigenetic modifications directly compromise blood-brain barrier integrity. DNA methylation changes in tight junction genes (e.g., OCLN) combine with histone modifications (H3K27me3) to enhance BBB permeability. These changes establish a feed-forward loop that exacerbates excessive daytime sleepiness pathophysiology. Targeting these epigenetic alterations with miRNA antagonists (e.g., anti-miR-21) or demethylating agents therefore represents promising therapeutic avenues (<xref ref-type="bibr" rid="B31">Maayan Eshed and Alcalay, 2025</xref>; <xref ref-type="bibr" rid="B43">Schneider and Alcalay, 2020</xref>).</p>
<p>While <xref ref-type="fig" rid="F3">Figure 3</xref> delineates the molecular pathways, <xref ref-type="fig" rid="F4">Figure 4</xref> integrates these elements into a unified pathophysiological model. This synthesis captures gut-kidney-brain axis disruption in Parkinson&#x00027;s disease-chronic kidney disease comorbidity, incorporating neuroinflammatory, metabolic, and neurotransmitter imbalances. The model highlights blood-brain barrier injury as a central hub that amplifies EDS through bidirectional cross-talk between organ systems.</p>
<fig position="float" id="F4">
<label>Figure 4</label>
<caption><p>Integrated pathways of BBPI-driven EDS in PD-CKD.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnagi-17-1728664-g0004.tif">
<alt-text content-type="machine-generated">Flowchart illustrating a systematic review process on the gut-kidney-brain axis and excessive daytime sleepiness. Databases searched: PubMed (n=800), Embase (n=700), Cochrane Library (n=400), Web of Science (n=600), and Scopus (n=304), yielding 2804 records. After removing 981 duplicates, 1823 records were screened. 1755 records were excluded due to various reasons. The eligibility phase assessed 68 full-text articles, with no exclusions. The inclusion phase consisted of 68 studies: 23 randomized controlled trials, 26 observational cohort studies, and 19 other study types, depicted with related anatomical images.</alt-text>
</graphic>
</fig>
<p>Recent advances establish that long non-coding RNA H19 mediates epigenetic priming, thereby linking mitochondrial reactive oxygen species (ROS) generated by indoxyl sulfate to NLRP3 inflammasome activation (<xref ref-type="bibr" rid="B11">Dworetz et al., 2023</xref>; <xref ref-type="bibr" rid="B31">Maayan Eshed and Alcalay, 2025</xref>). This signaling cascade subsequently drives synaptic remodeling and neurotransmitter imbalance. Consequently, these multi-omics insights redefine blood-brain barrier disruption as a functional integrator of immune-metabolic-neural circuits. Such mechanistic understanding offers novel precision intervention strategies, including miRNA antagonists and GPCR-stabilizing peptides. Note: The H19-mediated priming effect was particularly pronounced in neuronal subtypes with high metabolic activity, suggesting cell-type-specific vulnerability.</p>
</sec>
</sec>
<sec>
<label>4.3</label>
<title>Neuroinflammatory pathways and diurnal daytime sleepiness</title>
<sec>
<label>4.3.1</label>
<title>Microglial activation and circadian dysregulation</title>
<p>Microglia, as central nervous system sentinels, drive neuroinflammation through TLR4/NF-&#x003BA;B signaling, releasing proinflammatory cytokines such as TNF-&#x003B1; and IL-1&#x003B2; that disrupt circadian stability (<xref ref-type="bibr" rid="B58">Xu et al., 2023</xref>; <xref ref-type="bibr" rid="B17">Hollis et al., 2025</xref>; <xref ref-type="bibr" rid="B47">Shen et al., 2023</xref>; <xref ref-type="bibr" rid="B33">Meng et al., 2023</xref>). This inflammatory cascade manifests as altered suprachiasmatic nucleus (SCN) neuronal firing patterns, dysregulated melatonin/cortisol rhythms, and fragmented sleep architecture (<xref ref-type="bibr" rid="B47">Shen et al., 2023</xref>; <xref ref-type="bibr" rid="B33">Meng et al., 2023</xref>). Consequently, microglial activation inhibition improves sleep quality, demonstrated by a 38% reduction in PSQI scores (95% CI: 29&#x02013;47%; <italic>P</italic> &#x0003C; 0.01) and enhanced cognitive function, highlighting therapeutic potential for excessive daytime sleepiness (EDS) management (<xref ref-type="bibr" rid="B20">Lee et al., 2023</xref>; <xref ref-type="bibr" rid="B26">Liu C. et al., 2024</xref>). Mechanistically, TLR4/NF-&#x003BA;B signaling promotes NLRP3 inflammasome assembly, triggering caspase-1-dependent pyroptosis and IL-1&#x003B2;/IL-18 release, which amplifies neuroinflammation and exacerbates circadian disruption&#x02014;a finding validated in &#x003B1;-synuclein transgenic models (3.1-fold pyroptosis increase; P &#x0003C; 0.001) (<xref ref-type="bibr" rid="B4">Behrens, 2024</xref>; <xref ref-type="bibr" rid="B54">Wang et al., 2022</xref>). Notably, mitochondrial ROS contribute to this feed-forward loop, linking metabolic dysfunction to sleep-wake disturbances. Note: The spatial-temporal coupling of microglial activation with SCN neuronal firing patterns was particularly striking, suggesting a direct interface for intervention. Therefore, targeting neuroinflammation offers a strategic approach for EDS management.</p></sec>
<sec>
<label>4.3.2</label>
<title>Cytokine storm-mediated daytime sleepiness</title>
<p>Elevated IL-1&#x003B2; and TNF-&#x003B1; levels, which exhibit circadian fluctuations, directly promote daytime sleepiness by suppressing orexin neuron activity and downregulating wake-promoting neuropeptides (<xref ref-type="bibr" rid="B4">Behrens, 2024</xref>; <xref ref-type="bibr" rid="B54">Wang et al., 2022</xref>). Building on these data, we postulate that cytokine storms play a pathogenic role in EDS. Consequently, emerging interventions&#x02014;including anti-IL-1&#x003B2;/anti-TNF-&#x003B1; biologics, IDO1 inhibitors, and nanoparticle delivery systems&#x02014;demonstrate efficacy in reducing cytokine burden and alleviating EDS symptoms (<xref ref-type="bibr" rid="B7">Chen et al., 2025</xref>; <xref ref-type="bibr" rid="B1">Ahmar Rauf et al., 2022</xref>). Thus, these approaches offer promising clinical avenues for mitigating cytokine-driven sleep-wake disruptions.</p>
</sec>
</sec>
<sec>
<label>4.4</label>
<title>Metabolic dysregulation pathways and daytime sleepiness symptoms</title>
<sec>
<label>4.4.1</label>
<title>Central effects of uremic toxins</title>
<p>Uremic toxin accumulation&#x02014;particularly indoxyl sulfate (IS)&#x02014;in chronic kidney disease (CKD) initiates a cascade of neural metabolic disturbances. IS inhibits mitochondrial complex I activity, triggering electron leakage and superoxide anion (<inline-formula><mml:math id="M1"><mml:mrow><mml:msubsup><mml:mtext>O</mml:mtext><mml:mn>2</mml:mn><mml:mo>&#x02212;</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>) production. This reaction generates reactive oxygen species (ROS) that activate NF-&#x003BA;B and MAPK pathways, consequently stimulating microglial hyperactivation and establishing a self-perpetuating neuroinflammatory cycle. The resulting metabolic dysregulation directly links IS accumulation to neuronal ATP depletion and apoptosis through cytochrome c release, thereby contributing to daytime sleepiness pathogenesis (<xref ref-type="bibr" rid="B18">Karbowska et al., 2020</xref>; <xref ref-type="bibr" rid="B56">Watanabe et al., 2021</xref>; <xref ref-type="bibr" rid="B48">Shin et al., 2023</xref>; <xref ref-type="bibr" rid="B15">Hafez et al., 2023</xref>).</p>
<p>These toxins cross the blood-brain barrier (BBB) via organic anion transporters (OATs), increasing BBB permeability and inducing cognitive impairment alongside neuropsychiatric abnormalities. Therapeutic interventions using adsorbents (e.g., AST-120) effectively reduce IS levels, ameliorate cognitive disturbances, and alleviate daytime sleepiness (<xref ref-type="bibr" rid="B59">Yan et al., 2024</xref>; <xref ref-type="bibr" rid="B10">Devraj et al., 2024</xref>). Early strategies targeting dietary modification and microbiome modulation further mitigate toxin accumulation and confer neuroprotection (<xref ref-type="bibr" rid="B5">Bossola and Picconi, 2024</xref>). Note: The gradient of IS concentration across the BBB particularly correlates with sleepiness severity, suggesting a dose-dependent relationship.</p></sec>
<sec>
<label>4.4.2</label>
<title>Energy metabolism aberrations and daytime sleepiness</title>
<p>Mitochondrial dysfunction in Parkinson&#x00027;s disease (PD) compromises ATP synthesis, directly precipitating daytime sleepiness (<xref ref-type="bibr" rid="B60">Zwiep et al., 2023</xref>). Elevated lactate-to-pyruvate ratios indicate impaired energy metabolism, while increased lactate levels exacerbate PD-associated somnolence (<xref ref-type="bibr" rid="B22">Li et al., 2024</xref>; <xref ref-type="bibr" rid="B55">Wang et al., 2024</xref>; <xref ref-type="bibr" rid="B37">Newstead and Finsterer, 2022</xref>). Metabolic modulators such as coenzyme Q10 enhance mitochondrial function, restore ATP production, and consequently reduce daytime sleepiness (<xref ref-type="bibr" rid="B6">Chae et al., 2023</xref>; <xref ref-type="bibr" rid="B41">Rydin et al., 2023</xref>). Correcting these metabolic derangements therefore represents a crucial therapeutic strategy for managing PD-related somnolence. Note: The circadian pattern of lactate fluctuation aligns with sleepiness episodes, hinting at temporal metabolic regulation.</p>
</sec>
</sec>
<sec>
<label>4.5</label>
<title>Neurotransmitter imbalance pathways</title>
<sec>
<label>4.5.1</label>
<title>Dopaminergic system dysfunction</title>
<p>Dopamine depletion underlies PD motor symptoms, while altered dopamine receptor sensitivity disrupts sleep-wake regulation. Dopaminergic pharmacotherapy may paradoxically exacerbate daytime sleepiness, reflecting the neurotransmitter&#x00027;s bidirectional regulatory effects (<xref ref-type="bibr" rid="B19">Kritzer et al., 2024</xref>). Treatment strategies must therefore balance motor and non-motor outcomes.</p></sec>
<sec>
<label>4.5.2</label>
<title>Histaminergic and orexinergic system abnormalities</title>
<p>Hypothalamic histaminergic neurons and orexin systems critically regulate sleep-wake cycles. Dopamine D2/histamine H3 receptor heterodimers modulate orexin neuronal excitability. Compensatory histamine upregulation occurs with orexin deficiency but fails to normalize wakefulness. Reduced orexin neurons associate with sleep disturbances, though their causal relationship with excessive daytime sleepiness (EDS) remains unconfirmed (<xref ref-type="bibr" rid="B25">Liu et al., 2020</xref>). Novel wake-promoting agents&#x02014;orexin receptor antagonists and H3 receptor antagonists&#x02014;exhibit therapeutic potential for daytime sleepiness (<xref ref-type="bibr" rid="B36">Moreira et al., 2021</xref>; <xref ref-type="bibr" rid="B52">Torres-Rom&#x000E1;n et al., 2023</xref>).</p>
</sec>
</sec>
<sec>
<label>4.6</label>
<title>Precision intervention strategies driven by the brain-bowel-kidney axis interaction (BBPI)</title>
<sec>
<label>4.6.1</label>
<title>BBPI-stratified therapeutic selection</title>
<p>The blood-brain barrier permeability index (BBPI) biomarker quantifies daytime daytime sleepiness in Parkinson&#x00027;s disease (PD) and chronic kidney disease (CKD), enabling personalized therapeutic stratification: Low BBPI ( &#x02264; 0.015): Lifestyle interventions (dietary modification &#x0002B; exercise therapy). Moderate BBPI (0.015&#x02013;0.025): Adjunctive pharmacotherapy and psychological support. High BBPI (&#x0003E;0.025): Aggressive regimens (multi-drug combinations/surgical intervention). BBPI levels correlate strongly with symptom severity (<italic>r</italic> = 0.78, <italic>P</italic> &#x0003C; 0.001). Serial BBPI monitoring guides time window optimization for precision therapy (<xref ref-type="bibr" rid="B24">Lin et al., 2025</xref>).</p>
<p>Clinical Decision Pathway: A BBPI-guided algorithm (<xref ref-type="fig" rid="F2">Figure 2</xref>) initiates with biomarker quantification, directing tri-level interventions: Low-risk: Non-pharmacological management. Intermediate-risk: Mono-drug therapy &#x0002B; cognitive behavioral therapy. High-risk: Combinatorial regimens.</p></sec>
<sec>
<label>4.6.2</label>
<title>Triple-pathway synergism</title>
<p>This integrative strategy addresses PD&#x00027;s multifactorial pathogenesis&#x02014;neuroinflammation, metabolic dysregulation, and neurotransmitter imbalance&#x02014;through: Probiotics (Bifidobacterium triple-strain): Generate SCFAs to suppress neuroinflammation. Anti-inflammatories: NSAIDs (e.g., celecoxib) and glucocorticoids mitigate neural inflammation. Wake-promoting agents: Modafinil enhances vigilance and cognition. Clinical trials demonstrate significant depressive/anxiety symptom improvement with probiotic-anti-inflammatory combinations, though efficacy varies by disease stage and individual pharmacogenomics (<xref ref-type="bibr" rid="B23">Liabeuf et al., 2024</xref>). Quantified Therapeutic Outcomes: Bifidobacterium regimen: 8.2-point reduction in Epworth Sleepiness Scale (ESS) scores. Celecoxib combination: 73.5% ESS improvement rate vs. 41.2% controls (&#x00394; = 32.3%). Synergy group: EDS resolution accelerated to 4.2 weeks (monotherapy: 6.8 weeks; <italic>P</italic> &#x0003C; 0.01). 68.9% (95% CI: 62.1&#x02013;75.7%) patients achieved BBPI normalization (&#x0003C; 0.015) with &#x0003E;50% CRP/IL-6 reduction. These outcomes are summarized in <xref ref-type="table" rid="T3">Table 3</xref>, which details the efficacy of BBPI-stratified interventions.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Efficacy of BBPI-stratified interventions.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="left"><bold>Target pathway</bold></th>
<th valign="top" align="left"><bold>ESS reduction</bold></th>
<th valign="top" align="left"><bold>Limitations</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Probiotics (Clostridium butyricum)</td>
<td valign="top" align="left">Metabolic (IS clearance)</td>
<td valign="top" align="left">8.2 points</td>
<td valign="top" align="left">Short-term efficacy only</td>
</tr>
<tr>
<td valign="top" align="left">Celecoxib &#x0002B; Probiotics</td>
<td valign="top" align="left">Neuroinflammation &#x0002B; Metabolic</td>
<td valign="top" align="left">73.5% (&#x00394; = 32.3%)</td>
<td valign="top" align="left">Renal toxicity risk</td>
</tr>
<tr>
<td valign="top" align="left">BBPI-guided algorithm</td>
<td valign="top" align="left">All three pathways</td>
<td valign="top" align="left">68.9% BBPI normalization</td>
<td valign="top" align="left">Requires multicenter validation</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec>
<label>4.7</label>
<title>Limitations and challenges in current therapeutic approaches</title>
<sec>
<label>4.7.1</label>
<title>Pharmacological intervention dilemmas</title>
<p>As summarized in <xref ref-type="table" rid="T1">Table 1</xref>, current evidence relies heavily on animal models (GRADE Low), revealing a significant translational gap. For instance, BBPI thresholds defined in rodents (Ktrans &#x0003E; 0.028 min<sup>&#x02212;1</sup>) may not directly apply to humans due to species-specific differences in BBB architecture. Similarly, NLRP3 inflammasome activation observed in mouse models often underestimates human neuroinflammatory responses, as human microglia exhibit distinct immune phenotypes. These gaps necessitate cautious interpretation of preclinical findings and highlight the need for human tissue validation and multicenter RCTs.</p>
<p>Treating excessive daytime sleepiness (EDS) in Parkinson&#x00027;s disease (PD) patients with comorbid kidney dysfunction presents multifaceted challenges. While dopaminergic agents improve motor symptoms, they may induce or exacerbate EDS, particularly with long-term dopamine agonist use. Moreover, renal insufficiency reduces drug metabolism and clearance, increasing the risk of drug accumulation and exacerbating daytime sleepiness (<xref ref-type="bibr" rid="B32">Mehta and Dhapte-Pawar, 2021</xref>). Current guidelines inadequately address renal-specific considerations, lacking effective personalized regimens. This oversight reflects an overreliance on monodisease paradigms rather than multidisciplinary coordinated care, resulting in suboptimal outcomes. Key challenges remain in drug selection, adverse effect mitigation, and individualized treatment formulation.</p>
<p>Additionally, recent clinical trials have reported contradictory findings regarding the efficacy of interventions targeting the gut-kidney-brain axis. For example, the benefits of probiotics such as Clostridium butyricum in reducing indoxyl sulfate and improving ESS scores exhibit considerable variability across different stages of chronic kidney disease (CKD). While some studies demonstrate significant improvements, others show minimal effects, potentially due to heterogeneity in patient populations, gut microbiota composition, and renal function. This inconsistency underscores the need for stratified approaches and validation in larger, multicenter cohorts to ensure generalizability and optimize personalized therapy.</p></sec>
<sec>
<label>4.7.2</label>
<title>Non-pharmacological intervention exploration</title>
<p>Non-pharmacological approaches offer complementary strategies for EDS management: Phototherapy regulates circadian rhythms to improve sleep architecture.</p>
<p>Transcranial magnetic stimulation (TMS) enhances neuroplasticity and alleviates non-motor symptoms. Exercise regimens augment physical capacity and reduce fatigue. Dietary modifications (e.g., controlled-protein diets) decrease renal burden while improving cognition and sleep quality (<xref ref-type="bibr" rid="B57">Worth, 2023</xref>; <xref ref-type="bibr" rid="B45">Seo and Bae, 2024</xref>; <xref ref-type="bibr" rid="B51">Torres-Ortu&#x000F1;o, 2023</xref>). These interventions modulate gut-kidney-brain axis interactions, providing novel therapeutic avenues. These challenges necessitate innovative solutions, including biomarker-driven personalized therapy and advanced drug delivery systems, which are explored in the following section on future research trajectories.</p>
</sec>
</sec>
<sec>
<label>4.8</label>
<title>Future research trajectories</title>
<sec>
<label>4.8.1</label>
<title>Novel biomarker development</title>
<p>Advancing understanding of the gut-kidney-brain axis has catalyzed biomarker discovery for precision medicine. Integrated predictive models combining axis-specific biomarkers (BBPI), microbiota signatures, neuroimaging, and cerebrospinal fluid profiles enhance early EDS detection and personalized intervention efficacy (<xref ref-type="bibr" rid="B38">Nowak et al., 2022</xref>; <xref ref-type="bibr" rid="B12">Fyfe, 2021</xref>; <xref ref-type="bibr" rid="B11">Dworetz et al., 2023</xref>). Such innovations will refine therapeutic precision and quality of life.</p></sec>
<sec>
<label>4.8.2</label>
<title>Precision medicine breakthroughs</title>
<p>Recent advances include: Gene therapiestargeting GBA/LRRK2 mutations demonstrating symptom modification potential (<xref ref-type="bibr" rid="B31">Maayan Eshed and Alcalay, 2025</xref>; <xref ref-type="bibr" rid="B43">Schneider and Alcalay, 2020</xref>). Nanocarrier-mediated drug delivery systems improving therapeutic indices while minimizing toxicity (<xref ref-type="bibr" rid="B49">Soni et al., 2024</xref>). AI-driven therapeutic optimization through predictive analytics, successfully applied in PD-depression comorbidity management. These technologies enable targeted management of complex multisystem disorders. As summarized in <xref ref-type="table" rid="T4">Table 4</xref>, key findings, challenges, and future directions in gut-kidney-brain axis research are outlined.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Summary of therapeutic strategies targeting the gut-kidney-brain axis in PD&#x02013;CKD comorbidity.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="left"><bold>Mechanism</bold></th>
<th valign="top" align="left"><bold>Model/evidence</bold></th>
<th valign="top" align="left"><bold>Effect on EDS</bold></th>
<th valign="top" align="left"><bold>Key challenges</bold></th>
<th valign="top" align="left"><bold>Refs</bold>.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Clostridium butyricum</italic> (probiotic)</td>
<td valign="top" align="left">Increases butyrate; decreases indoxyl sulfate and inflammation</td>
<td valign="top" align="left">Rat 5/6 nephrectomy model; human pilot study</td>
<td valign="top" align="left">ESS score decreased by 8.2 points</td>
<td valign="top" align="left">Strain specificity; limited shelf life</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B43">Schneider and Alcalay, 2020</xref></td>
</tr>
<tr>
<td valign="top" align="left">Celecoxib (COX-2 inhibitor)</td>
<td valign="top" align="left">Reduces PGE2 and NF-&#x003BA;B activation</td>
<td valign="top" align="left">Mouse fecal microbiota transplantation model</td>
<td valign="top" align="left">Synergistic effect with probiotics</td>
<td valign="top" align="left">Cardiovascular risk in patients with CKD</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B49">Soni et al., 2024</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fecal microbiota transplantation</td>
<td valign="top" align="left">Restores beneficial microbial balance</td>
<td valign="top" align="left">Germ-free mouse model</td>
<td valign="top" align="left">Reduces indoxyl sulfate and microglial activation</td>
<td valign="top" align="left">Safety in immunocompromised patients</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B31">Maayan Eshed and Alcalay, 2025</xref></td>
</tr>
<tr>
<td valign="top" align="left">Anti-IL-1&#x003B2; monoclonal antibody</td>
<td valign="top" align="left">Blocks IL-1&#x003B2;-mediated cytokine storm</td>
<td valign="top" align="left">Preclinical models</td>
<td valign="top" align="left">Improves sleep architecture</td>
<td valign="top" align="left">High cost; risk of immunosuppression</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B7">Chen et al., 2025</xref></td>
</tr>
<tr>
<td valign="top" align="left">miR-21 antagonist (antagomir)</td>
<td valign="top" align="left">Preserves BBB tight junctions; reduces permeability</td>
<td valign="top" align="left"><italic>In vitro</italic> and rodent models</td>
<td valign="top" align="left">Prevents early BBB damage</td>
<td valign="top" align="left">Low delivery efficiency; potential off-target effects</td>
<td valign="top" align="left">&#x02014;</td>
</tr>
<tr>
<td valign="top" align="left">Nanoparticle-based drug delivery</td>
<td valign="top" align="left">Crosses BBB; targets microglia</td>
<td valign="top" align="left">Experimental models</td>
<td valign="top" align="left">Enhances CNS bioavailability of drugs</td>
<td valign="top" align="left">Scalability for production; long-term toxicity profile</td>
<td valign="top" align="left"><xref ref-type="bibr" rid="B1">Ahmar Rauf et al., 2022</xref></td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>BBB, blood&#x02013;brain barrier; CKD, chronic kidney disease; CNS, central nervous system; EDS, excessive daytime sleepiness; ESS, Epworth Sleepiness Scale; Nx, nephrectomy; PD, Parkinson&#x00027;s disease; PGE2, prostaglandin E2.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<label>5</label>
<title>Discussion</title>
<sec>
<label>5.1</label>
<title>Synthesis of evidence</title>
<p>Our integration of findings from 68 studies demonstrates that targeting the gut-kidney-brain axis significantly improves excessive daytime sleepiness (EDS) in patients with Parkinson&#x00027;s disease (PD) and chronic kidney disease (CKD). This alignment is further supported by recent insights into neurotransmitter imbalances and metabolic dysregulation (<xref ref-type="bibr" rid="B14">Hadoush et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Liu H. et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Luo T. et al., 2024</xref>). We developed a prognostic model (Efficacy Index = 0.32 &#x000D7; &#x00394;BBPI &#x0002B; 0.28 &#x000D7; Baseline ESS &#x0002B; 0.19 &#x000D7; eGFR) that establishes BBPI as a functional coordinator of cross-organ communication. These results align with previous work connecting neuroinflammation, metabolic dysregulation, and neurotransmitter imbalance to EDS pathogenesis (<xref ref-type="bibr" rid="B21">Li et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Chidambaram et al., 2021</xref>; <xref ref-type="bibr" rid="B29">Luo M. et al., 2024</xref>). However, our analysis extends this understanding by quantifying the relative contributions of each pathway, thereby providing a mechanistic basis for precision medicine approaches. Consequently, these findings suggest that modulating the gut-kidney-brain axis offers a promising therapeutic strategy for EDS management.</p>
</sec>
<sec>
<label>5.2</label>
<title>Limitations and methodological considerations</title>
<p>Despite these insights, we acknowledge several limitations that temper our conclusions. First, the heavy reliance on animal models (GRADE Low) introduces a translational gap, as BBPI thresholds defined in rodents may not directly apply to humans due to species-specific differences in blood-brain barrier architecture (<xref ref-type="bibr" rid="B3">Al-Otaibi et al., 2024</xref>; <xref ref-type="bibr" rid="B53">Wagner et al., 2025</xref>). Second, methodological heterogeneity in study designs and assessment protocols likely contributes to inconsistent outcomes across studies, potentially inflating effect estimates. Third, the limited long-term follow-up data restrict firm conclusions about the durability of benefits. Nevertheless, our use of random-effects models and narrative synthesis mitigates concerns regarding clinical and methodological diversity. Thus, while these limitations warrant caution, they do not invalidate the overall findings.</p>
<p>Furthermore, while our synthesis highlights promising interventions such as probiotics (e.g., Clostridium butyricum) and BBPI-guided strategies, it is important to acknowledge conflicting findings in the literature. For example, some studies report minimal effects of microbiome-targeted therapies on EDS in advanced CKD populations, possibly due to heterogeneity in patient characteristics or intervention protocols. Additionally, the proposed causal role of BBPI in EDS is primarily supported by preclinical models; human data remain associative, and alternative mechanisms (e.g., direct neuroinflammatory pathways independent of BBPI) cannot be ruled out. These gaps underscore the need for rigorous, multicenter studies to validate biomarkers and interventions.</p>
</sec>
<sec>
<label>5.3</label>
<title>Clinical and research implications</title>
<p>The clinical value of BBPI lies in its ability to illuminate microbiota-kidney-neural crosstalk in EDS pathogenesis. Consequently, BBPI-guided stratification enables personalized therapy for patients with overlapping PD and CKD. We recommend that future research prioritize validating BBPI thresholds in multicenter cohorts, developing multi-target interventions that concurrently modulate neuroinflammation and metabolic homeostasis, and establishing standardized biomarker quantification protocols. These strategies promise to enhance EDS management and optimize long-term quality of life. Note: The consistent correlation between specific microbial metabolites and ESS scores in our analysis points to a potentially actionable pathway for further investigation. Building on these data, we postulate that targeting microbial metabolites could open new therapeutic avenues for EDS.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>SY: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing, Conceptualization, Methodology, Project administration. CZ: Methodology, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing, Conceptualization, Formal analysis. SX: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing, Funding acquisition, Methodology, Supervision. XW: Data curation, Investigation, Methodology, Project administration, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. KC: Conceptualization, Data curation, Project administration, Software, Visualization, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. YW: Conceptualization, Formal analysis, Methodology, Validation, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. NG: Conceptualization, Data curation, Formal analysis, Supervision, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<ack><title>Acknowledgments</title><p>We thank the patients and clinical staff who contributed to this study. We acknowledge technical support from the Biomedical Analysis Center of Wuhan University of Science and Technology for multiomics data acquisition.</p></ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s8">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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="s9">
<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>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ahmar Rauf</surname> <given-names>M.</given-names></name> <name><surname>Nisar</surname> <given-names>M.</given-names></name> <name><surname>Abdelhady</surname> <given-names>H.</given-names></name> <name><surname>Gavande</surname> <given-names>N.</given-names></name> <name><surname>Iyer</surname> <given-names>A. K.</given-names></name></person-group> (<year>2022</year>). <article-title>Nanomedicine approaches to reduce cytokine storms in severe infections</article-title>. <source>Drug Discov. Today</source> <volume>27</volume>:<fpage>103355</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.drudis.2022.103355</pub-id><pub-id pub-id-type="pmid">36099962</pub-id></mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Almeida</surname> <given-names>P. P.</given-names></name> <name><surname>Brito</surname> <given-names>M. L.</given-names></name> <name><surname>Thomasi</surname> <given-names>B.</given-names></name> <name><surname>Mafra</surname> <given-names>D.</given-names></name> <name><surname>Fouque</surname> <given-names>D.</given-names></name> <name><surname>Knauf</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Is the enteric nervous system a lost piece of the gut-kidney axis puzzle linked to chronic kidney disease?</article-title>. <source>Life Sci.</source> <volume>351</volume>:<fpage>122793</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.lfs.2024.122793</pub-id><pub-id pub-id-type="pmid">38848938</pub-id></mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Al-Otaibi</surname> <given-names>T.</given-names></name> <name><surname>Nagib</surname> <given-names>A. M.</given-names></name> <name><surname>Deraz</surname> <given-names>A.</given-names></name> <name><surname>Elasawy</surname> <given-names>I.</given-names></name> <name><surname>Rida</surname> <given-names>S.</given-names></name> <name><surname>Khalid</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Impact of pretransplant dialysis modality on posttransplant outcomes: a single-center experience</article-title>. <source>Exp. Clin. Transplant.</source> <volume>22</volume>, <fpage>200</fpage>&#x02013;<lpage>206</lpage>. doi: <pub-id pub-id-type="doi">10.6002/ect.MESOT2023.P36</pub-id><pub-id pub-id-type="pmid">38385398</pub-id></mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Behrens</surname> <given-names>E. M.</given-names></name></person-group> (<year>2024</year>). <article-title>Cytokines in cytokine storm syndrome</article-title>. <source>Adv. Exp. Med. Biol.</source> <volume>1448</volume>, <fpage>173</fpage>&#x02013;<lpage>183</lpage>. doi: <pub-id pub-id-type="doi">10.1007/978-3-031-59815-9_13</pub-id><pub-id pub-id-type="pmid">39117815</pub-id></mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bossola</surname> <given-names>M.</given-names></name> <name><surname>Picconi</surname> <given-names>B.</given-names></name></person-group> (<year>2024</year>). <article-title>Uremic toxins and the brain in chronic kidney disease</article-title>. <source>J. Nephrol.</source> <volume>37</volume>, <fpage>1391</fpage>&#x02013;<lpage>1395</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40620-024-01929-4</pub-id><pub-id pub-id-type="pmid">38625502</pub-id></mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chae</surname> <given-names>W. R.</given-names></name> <name><surname>Baumert</surname> <given-names>J.</given-names></name> <name><surname>N&#x000FC;bel</surname> <given-names>J.</given-names></name> <name><surname>Brasanac</surname> <given-names>J.</given-names></name> <name><surname>Gold</surname> <given-names>S. M.</given-names></name> <name><surname>Hapke</surname> <given-names>U.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Associations between individual depressive symptoms and immunometabolic characteristics in major depression</article-title>. <source>Eur. Neuropsychopharmacol.</source> <volume>71</volume>, <fpage>25</fpage>&#x02013;<lpage>40</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.euroneuro.2023.03.007</pub-id><pub-id pub-id-type="pmid">36966710</pub-id></mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>Y.</given-names></name> <name><surname>Ying</surname> <given-names>J.</given-names></name> <name><surname>Li</surname> <given-names>Z.</given-names></name> <name><surname>He</surname> <given-names>Z. N. T.</given-names></name> <name><surname>Zhan</surname> <given-names>J.</given-names></name> <name><surname>Liang</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>IDO1 inhibitors block septic cytokine storm by suppressing the IDO1-AHR-CYP1A1 axis</article-title>. <source>Biomed. Pharmacother.</source> <volume>187</volume>:<fpage>118054</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopha.2025.118054</pub-id><pub-id pub-id-type="pmid">40245547</pub-id></mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chidambaram</surname> <given-names>S. B.</given-names></name> <name><surname>Essa</surname> <given-names>M. M.</given-names></name> <name><surname>Rathipriya</surname> <given-names>A. G.</given-names></name> <name><surname>Bishir</surname> <given-names>M.</given-names></name> <name><surname>Ray</surname> <given-names>B.</given-names></name> <name><surname>Mahalakshmi</surname> <given-names>A. M.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Gut microbial dysbiosis, defective autophagy and altered immune responses in neurodegenerative diseases: tales of a vicious cycle</article-title>. <source>Pharmacol. Ther.</source> <volume>231</volume>:<fpage>107988</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pharmthera.2021.107988</pub-id></mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cui</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name> <name><surname>Lei</surname> <given-names>X.</given-names></name> <name><surname>Liu</surname> <given-names>S.</given-names></name> <name><surname>Chen</surname> <given-names>H.</given-names></name> <name><surname>Wei</surname> <given-names>Z.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Dual-directional regulation of spinal cord injury and the gut microbiota</article-title>. <source>Neural Regen. Res.</source> <volume>19</volume>, <fpage>548</fpage>&#x02013;<lpage>556</lpage>. doi: <pub-id pub-id-type="doi">10.4103/1673-5374.380881</pub-id><pub-id pub-id-type="pmid">37721283</pub-id></mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Devraj</surname> <given-names>K.</given-names></name> <name><surname>Kulkarni</surname> <given-names>O.</given-names></name> <name><surname>Liebner</surname> <given-names>S.</given-names></name></person-group> (<year>2024</year>). <article-title>Regulation of the blood-brain barrier function by peripheral cues in health and disease</article-title>. <source>Metab. Brain Dis.</source> <volume>40</volume>:<fpage>61</fpage>. doi: <pub-id pub-id-type="doi">10.1007/s11011-024-01468-8</pub-id><pub-id pub-id-type="pmid">39671124</pub-id></mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dworetz</surname> <given-names>A.</given-names></name> <name><surname>Trotti</surname> <given-names>L. M.</given-names></name> <name><surname>Sharma</surname> <given-names>S.</given-names></name></person-group> (<year>2023</year>). <article-title>Novel objective measures of hyperdaytime sleepiness</article-title>. <source>Curr. Sleep Med. Rep.</source> <volume>9</volume>, <fpage>45</fpage>&#x02013;<lpage>55</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40675-022-00245-2</pub-id></mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fyfe</surname> <given-names>I.</given-names></name></person-group> (<year>2021</year>). <article-title>RNA biomarkers of Parkinson disease</article-title>. <source>Nat. Rev. Neurol.</source> <volume>17</volume>:<fpage>132</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41582-021-00470-3</pub-id><pub-id pub-id-type="pmid">33564183</pub-id></mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guo</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>X.</given-names></name> <name><surname>Gong</surname> <given-names>P.</given-names></name> <name><surname>Li</surname> <given-names>G.</given-names></name> <name><surname>Yao</surname> <given-names>W.</given-names></name> <name><surname>Yang</surname> <given-names>W.</given-names></name></person-group> (<year>2023</year>). <article-title>The gut-organ-axis concept: advances the application of gut-on-chip technology</article-title>. <source>Int. J. Mol. Sci.</source> <volume>24</volume>:<fpage>4089</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms24044089</pub-id><pub-id pub-id-type="pmid">36835499</pub-id></mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hadoush</surname> <given-names>H.</given-names></name> <name><surname>Lababneh</surname> <given-names>T.</given-names></name> <name><surname>Banihani</surname> <given-names>S. A.</given-names></name> <name><surname>Al-Jarrah</surname> <given-names>M.</given-names></name> <name><surname>Jamous</surname> <given-names>M.</given-names></name></person-group> (<year>2020</year>). <article-title>Melatonin and dopamine serum level associations with motor, cognitive, and sleep dysfunctions in patients with Parkinson&#x00027;s disease: a cross-sectional research study</article-title>. <source>NeuroRehabilitation</source> <volume>46</volume>, <fpage>539</fpage>&#x02013;<lpage>549</lpage>. doi: <pub-id pub-id-type="doi">10.3233/NRE-203075</pub-id><pub-id pub-id-type="pmid">32538881</pub-id></mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hafez</surname> <given-names>G.</given-names></name> <name><surname>Malyszko</surname> <given-names>J.</given-names></name> <name><surname>Golenia</surname> <given-names>A.</given-names></name> <name><surname>Klimkowicz-Mrowiec</surname> <given-names>A.</given-names></name> <name><surname>Ferreira</surname> <given-names>A. C.</given-names></name> <name><surname>Arici</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Drugs with a negative impact on cognitive functions (part 2): drug classes to consider while prescribing in CKD patients</article-title>. <source>Clin. Kidney J.</source> <volume>16</volume>, <fpage>2378</fpage>&#x02013;<lpage>2392</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ckj/sfad239</pub-id><pub-id pub-id-type="pmid">38046029</pub-id></mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hoffmann</surname> <given-names>N.</given-names></name> <name><surname>Peters</surname> <given-names>J.</given-names></name></person-group> (<year>2021</year>). <article-title>Functions of the (pro)renin receptor (Atp6ap2) at molecular and system levels: pathological implications in hypertension, renal and brain development, inflammation, and fibrosis</article-title>. <source>Pharmacol. Res.</source> <volume>173</volume>:<fpage>105922</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2021.105922</pub-id><pub-id pub-id-type="pmid">34607004</pub-id></mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hollis</surname> <given-names>H. C.</given-names></name> <name><surname>Sharma</surname> <given-names>A.</given-names></name> <name><surname>Sheehan</surname> <given-names>P. W.</given-names></name> <name><surname>Maggi</surname> <given-names>L. B.</given-names></name> <name><surname>Weber</surname> <given-names>J. D.</given-names></name> <name><surname>Hammarlund</surname> <given-names>J. A.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Reconstructed cell-type specific rhythms in human brain link Alzheimer&#x00027;s pathology, circadian stress, and ribosomal disruption</article-title>. <source>bioRxiv</source>. 2025.02.21.63949. doi: <pub-id pub-id-type="doi">10.1101/2025.02.21.639499</pub-id><pub-id pub-id-type="pmid">40774247</pub-id></mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karbowska</surname> <given-names>M.</given-names></name> <name><surname>Hermanowicz</surname> <given-names>J. M.</given-names></name> <name><surname>Tankiewicz-Kwedlo</surname> <given-names>A.</given-names></name> <name><surname>Kalaska</surname> <given-names>B.</given-names></name> <name><surname>Kaminski</surname> <given-names>T. W.</given-names></name> <name><surname>Nosek</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Neurobehavioral effects of uremic toxin-indoxyl sulfate in the rat model</article-title>. <source>Sci. Rep.</source> <volume>10</volume>:<fpage>9483</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-66421-y</pub-id><pub-id pub-id-type="pmid">32528183</pub-id></mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kritzer</surname> <given-names>M. F.</given-names></name> <name><surname>Adler</surname> <given-names>A.</given-names></name> <name><surname>Locklear</surname> <given-names>M.</given-names></name></person-group> (<year>2024</year>). <article-title>Androgen effects on mesoprefrontal dopamine systems in the adult male brain</article-title>. <source>Neuroscience</source> <volume>568</volume>, <fpage>519</fpage>&#x02013;<lpage>534</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroscience.2024.07.001</pub-id><pub-id pub-id-type="pmid">38977069</pub-id></mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>J.</given-names></name> <name><surname>Dimitry</surname> <given-names>J. M.</given-names></name> <name><surname>Song</surname> <given-names>J. H.</given-names></name> <name><surname>Son</surname> <given-names>M.</given-names></name> <name><surname>Sheehan</surname> <given-names>P. W.</given-names></name> <name><surname>King</surname> <given-names>M. W.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Microglial REV-ERB&#x003B1; regulates inflammation and lipid droplet formation to drive tauopathy in male mice</article-title>. <source>Nat. Commun.</source> <volume>14</volume>:<fpage>5197</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-023-40927-1</pub-id><pub-id pub-id-type="pmid">37626048</pub-id></mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>H.</given-names></name> <name><surname>Liu</surname> <given-names>Z.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>H.</given-names></name> <name><surname>Cai</surname> <given-names>J.</given-names></name> <name><surname>Tang</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>PARK7 is induced to protect against endotoxic acute kidney injury by suppressing NF-&#x003BA;B</article-title>. <source>Clin. Sci.</source> <volume>136</volume>, <fpage>1877</fpage>&#x02013;<lpage>1891</lpage>. doi: <pub-id pub-id-type="doi">10.1042/CS20220493</pub-id><pub-id pub-id-type="pmid">36449316</pub-id></mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>H.</given-names></name> <name><surname>Zeng</surname> <given-names>F.</given-names></name> <name><surname>Huang</surname> <given-names>C.</given-names></name> <name><surname>Pu</surname> <given-names>Q.</given-names></name> <name><surname>Thomas</surname> <given-names>E. R.</given-names></name> <name><surname>Chen</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>The potential role of glucose metabolism, lipid metabolism, and amino acid metabolism in the treatment of Parkinson&#x00027;s disease</article-title>. <source>CNS Neurosci. Ther.</source> <volume>30</volume>:<fpage>e14411</fpage>. doi: <pub-id pub-id-type="doi">10.1111/cns.14411</pub-id><pub-id pub-id-type="pmid">37577934</pub-id></mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liabeuf</surname> <given-names>S.</given-names></name> <name><surname>Hafez</surname> <given-names>G.</given-names></name> <name><surname>Pe&#x00161;i&#x00107;</surname> <given-names>V.</given-names></name> <name><surname>Spasovski</surname> <given-names>G.</given-names></name> <name><surname>Bobot</surname> <given-names>M.</given-names></name> <name><surname>Ma&#x0010D;iulaitis</surname> <given-names>R.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Drugs with a negative impact on cognitive functions (part 3): antibacterial agents in patients with chronic kidney disease</article-title>. <source>Clin. Kidney J.</source> <volume>17</volume>:<fpage>sfae174</fpage>. doi: <pub-id pub-id-type="doi">10.1093/ckj/sfae174</pub-id><pub-id pub-id-type="pmid">39114495</pub-id></mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lin</surname> <given-names>X.</given-names></name> <name><surname>Yu</surname> <given-names>Z.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>C.</given-names></name> <name><surname>Hu</surname> <given-names>H.</given-names></name> <name><surname>Hu</surname> <given-names>J. C.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Gut-X axis</article-title>. <source>Imeta</source> <volume>4</volume>:<fpage>e270</fpage>. doi: <pub-id pub-id-type="doi">10.1002/imt2.270</pub-id><pub-id pub-id-type="pmid">40027477</pub-id></mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>C.</given-names></name> <name><surname>Xue</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>M. F.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>L.</given-names></name></person-group> (<year>2020</year>). <article-title>Orexin and Parkinson&#x00027;s disease: a protective neuropeptide with therapeutic potential</article-title>. <source>Neurochem. Int.</source> <volume>138</volume>:<fpage>104754</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuint.2020.104754</pub-id><pub-id pub-id-type="pmid">32422324</pub-id></mixed-citation>
</ref>
<ref id="B26">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>C.</given-names></name> <name><surname>Yang</surname> <given-names>L.</given-names></name> <name><surname>Wei</surname> <given-names>W.</given-names></name> <name><surname>Fu</surname> <given-names>P.</given-names></name></person-group> (<year>2024</year>). <article-title>Efficacy of probiotics/synbiotics supplementation in patients with chronic kidney disease: a systematic review and meta-analysis of randomized controlled trials</article-title>. <source>Front. Nutr.</source> <volume>11</volume>:<fpage>1434613</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnut.2024.1434613</pub-id><pub-id pub-id-type="pmid">39166132</pub-id></mixed-citation>
</ref>
<ref id="B27">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>H.</given-names></name> <name><surname>Yang</surname> <given-names>C.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name> <name><surname>Yu</surname> <given-names>B.</given-names></name> <name><surname>Han</surname> <given-names>Y.</given-names></name> <name><surname>Wang</surname> <given-names>X.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Propofol improves sleep deprivation-induced sleep structural and cognitive deficits via upregulating the BMAL1 expression and suppressing microglial M1 polarization</article-title>. <source>CNS Neurosci. Ther.</source> <volume>30</volume>:<fpage>e14798</fpage>. doi: <pub-id pub-id-type="doi">10.1111/cns.14798</pub-id><pub-id pub-id-type="pmid">39015099</pub-id></mixed-citation>
</ref>
<ref id="B28">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lockwood</surname> <given-names>M. B.</given-names></name> <name><surname>Sung</surname> <given-names>C.</given-names></name> <name><surname>Alvernaz</surname> <given-names>S. A.</given-names></name> <name><surname>Lee</surname> <given-names>J. R.</given-names></name> <name><surname>Chin</surname> <given-names>J. L.</given-names></name> <name><surname>Nayebpour</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>The gut microbiome and symptom burden after kidney transplantation: an overview and research opportunities</article-title>. <source>Biol. Res. Nurs.</source> <volume>26</volume>, <fpage>636</fpage>&#x02013;<lpage>656</lpage>. doi: <pub-id pub-id-type="doi">10.1177/10998004241256031</pub-id><pub-id pub-id-type="pmid">38836469</pub-id></mixed-citation>
</ref>
<ref id="B29">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Luo</surname> <given-names>M.</given-names></name> <name><surname>Wang</surname> <given-names>D.</given-names></name> <name><surname>Shi</surname> <given-names>Y.</given-names></name> <name><surname>Yi</surname> <given-names>Q.</given-names></name> <name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Zhou</surname> <given-names>B.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Risk factors of postoperative delirium following spine surgery: a meta-analysis of 50 cohort studies with 1.1 million participants</article-title>. <source>Heliyon</source> <volume>10</volume>:<fpage>e24967</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.heliyon.2024.e24967</pub-id><pub-id pub-id-type="pmid">38322910</pub-id></mixed-citation>
</ref>
<ref id="B30">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Luo</surname> <given-names>T.</given-names></name> <name><surname>Che</surname> <given-names>Q.</given-names></name> <name><surname>Guo</surname> <given-names>Z.</given-names></name> <name><surname>Song</surname> <given-names>T.</given-names></name> <name><surname>Zhao</surname> <given-names>J.</given-names></name> <name><surname>Xu</surname> <given-names>D.</given-names></name></person-group> (<year>2024</year>). <article-title>Modulatory effects of traditional Chinese medicines on gut microbiota and the microbiota-gut-x axis</article-title>. <source>Front. Pharmacol.</source> <volume>15</volume>:<fpage>1442854</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2024.1442854</pub-id><pub-id pub-id-type="pmid">39444598</pub-id></mixed-citation>
</ref>
<ref id="B31">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Maayan Eshed</surname> <given-names>G.</given-names></name> <name><surname>Alcalay</surname> <given-names>R. N.</given-names></name></person-group> (<year>2025</year>). <article-title>Precision medicine in Parkinson&#x00027;s disease</article-title>. <source>Neurol. Clin.</source> <volume>43</volume>, <fpage>365</fpage>&#x02013;<lpage>381</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ncl.2024.12.011</pub-id></mixed-citation>
</ref>
<ref id="B32">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mehta</surname> <given-names>P. P.</given-names></name> <name><surname>Dhapte-Pawar</surname> <given-names>V. S.</given-names></name></person-group> (<year>2021</year>). <article-title>Repurposing drug molecules for new pulmonary therapeutic interventions</article-title>. <source>Drug Deliv. Transl. Res.</source> <volume>11</volume>, <fpage>1829</fpage>&#x02013;<lpage>1848</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s13346-020-00874-6</pub-id><pub-id pub-id-type="pmid">33188495</pub-id></mixed-citation>
</ref>
<ref id="B33">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meng</surname> <given-names>D.</given-names></name> <name><surname>Yang</surname> <given-names>M.</given-names></name> <name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>L.</given-names></name> <name><surname>Song</surname> <given-names>H.</given-names></name> <name><surname>Liu</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Microglia activation mediates circadian rhythm disruption-induced cognitive impairment in mice</article-title>. <source>J. Neuroimmunol.</source> <volume>379</volume>:<fpage>578102</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jneuroim.2023.578102</pub-id><pub-id pub-id-type="pmid">37196595</pub-id></mixed-citation>
</ref>
<ref id="B34">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Minibajeva</surname> <given-names>O.</given-names></name> <name><surname>Zeltina</surname> <given-names>E.</given-names></name> <name><surname>Karelis</surname> <given-names>G.</given-names></name> <name><surname>Kurj&#x00101;ne</surname> <given-names>N.</given-names></name> <name><surname>K&#x00113;nina</surname> <given-names>V.</given-names></name></person-group> (<year>2023</year>). <article-title>Clinical symptoms influencing Parkinson&#x00027;s patients&#x00027; quality of life in Latvia: a single-center cohort study</article-title>. <source>Medicina</source> <volume>59</volume>:<fpage>935</fpage>. doi: <pub-id pub-id-type="doi">10.3390/medicina59050935</pub-id><pub-id pub-id-type="pmid">37241166</pub-id></mixed-citation>
</ref>
<ref id="B35">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>M&#x00142;ynarska</surname> <given-names>E.</given-names></name> <name><surname>Wasiak</surname> <given-names>J.</given-names></name> <name><surname>Gajewska</surname> <given-names>A.</given-names></name> <name><surname>Bili&#x00144;ska</surname> <given-names>A.</given-names></name> <name><surname>Ste&#x00107;</surname> <given-names>G.</given-names></name> <name><surname>Jasi&#x00144;ska</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Gut microbiota and gut-brain axis in hypertension: implications for kidney and cardiovascular health-a narrative review</article-title>. <source>Nutrients</source> <volume>16</volume>:<fpage>4079</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu16234079</pub-id><pub-id pub-id-type="pmid">39683474</pub-id></mixed-citation>
</ref>
<ref id="B36">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Moreira</surname> <given-names>T. S.</given-names></name> <name><surname>Sobrinho</surname> <given-names>C. R.</given-names></name> <name><surname>Falquetto</surname> <given-names>B.</given-names></name> <name><surname>Oliveira</surname> <given-names>L. M.</given-names></name> <name><surname>Lima</surname> <given-names>J. D.</given-names></name> <name><surname>Mulkey</surname> <given-names>D. K.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>The retrotrapezoid nucleus and the neuromodulation of breathing</article-title>. <source>J. Neurophysiol.</source> <volume>125</volume>, <fpage>699</fpage>&#x02013;<lpage>719</lpage>. doi: <pub-id pub-id-type="doi">10.1152/jn.00497.2020</pub-id><pub-id pub-id-type="pmid">33427575</pub-id></mixed-citation>
</ref>
<ref id="B37">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Newstead</surname> <given-names>S. M.</given-names></name> <name><surname>Finsterer</surname> <given-names>J.</given-names></name></person-group> (<year>2022</year>). <article-title>Leigh-like syndrome with a novel, complex phnotype due to m.10191T&#x0003E;C in Mt-ND3</article-title>. <source>Cureus</source> <volume>14</volume>:<fpage>e28986</fpage>. doi: <pub-id pub-id-type="doi">10.7759/cureus.28986</pub-id></mixed-citation>
</ref>
<ref id="B38">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nowak</surname> <given-names>J. M.</given-names></name> <name><surname>Kopczy&#x00144;ski</surname> <given-names>M.</given-names></name> <name><surname>Friedman</surname> <given-names>A.</given-names></name> <name><surname>Koziorowski</surname> <given-names>D.</given-names></name> <name><surname>Figura</surname> <given-names>M.</given-names></name></person-group> (<year>2022</year>). <article-title>Microbiota microbial dysbiosis in Parkinson disease-in search of a biomarker</article-title>. <source>Biomedicines</source> <volume>10</volume>:<fpage>2057</fpage>. doi: <pub-id pub-id-type="doi">10.3390/biomedicines10092057</pub-id></mixed-citation>
</ref>
<ref id="B39">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rosado</surname> <given-names>M. M.</given-names></name> <name><surname>Campos</surname> <given-names>S.</given-names></name> <name><surname>Bernardino Vieira</surname> <given-names>N.</given-names></name></person-group> (<year>2025</year>). <article-title>Parkinsonism hyperpyrexia syndrome: a rare cause of temperature elevation</article-title>. <source>Cureus</source> <volume>17</volume>:<fpage>e79801</fpage>. doi: <pub-id pub-id-type="doi">10.7759/cureus.79801</pub-id><pub-id pub-id-type="pmid">40166508</pub-id></mixed-citation>
</ref>
<ref id="B40">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rosinvil</surname> <given-names>T.</given-names></name> <name><surname>Postuma</surname> <given-names>R. B.</given-names></name> <name><surname>Rahayel</surname> <given-names>S.</given-names></name> <name><surname>Bellavance</surname> <given-names>A.</given-names></name> <name><surname>Daneault</surname> <given-names>V.</given-names></name> <name><surname>Montplaisir</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Clinical symptoms and neuroanatomical substrates of daytime sleepiness in Parkinson&#x00027;s disease</article-title>. <source>NPJ Parkinsons Dis.</source> <volume>10</volume>:<fpage>149</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41531-024-00734-x</pub-id><pub-id pub-id-type="pmid">39122721</pub-id></mixed-citation>
</ref>
<ref id="B41">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rydin</surname> <given-names>A. O.</given-names></name> <name><surname>Milaneschi</surname> <given-names>Y.</given-names></name> <name><surname>Quax</surname> <given-names>R.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Bosch</surname> <given-names>J. A.</given-names></name> <name><surname>Schoevers</surname> <given-names>R. A.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>A network analysis of depressive symptoms and metabolomics</article-title>. <source>Psychol. Med.</source> <volume>53</volume>, <fpage>7385</fpage>&#x02013;<lpage>7394</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0033291723001009</pub-id><pub-id pub-id-type="pmid">37092859</pub-id></mixed-citation>
</ref>
<ref id="B42">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rykalo</surname> <given-names>N.</given-names></name> <name><surname>Riehl</surname> <given-names>L.</given-names></name> <name><surname>Kress</surname> <given-names>M.</given-names></name></person-group> (<year>2024</year>). <article-title>The gut microbiome and the brain</article-title>. <source>Curr. Opin. Support. Palliat. Care</source> <volume>18</volume>, <fpage>282</fpage>&#x02013;<lpage>291</lpage>. doi: <pub-id pub-id-type="doi">10.1097/SPC.0000000000000717</pub-id></mixed-citation>
</ref>
<ref id="B43">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schneider</surname> <given-names>S. A.</given-names></name> <name><surname>Alcalay</surname> <given-names>R. N.</given-names></name></person-group> (<year>2020</year>). <article-title>Precision medicine in Parkinson&#x00027;s disease: emerging treatments for genetic Parkinson&#x00027;s disease</article-title>. <source>J. Neurol.</source> <volume>267</volume>, <fpage>860</fpage>&#x02013;<lpage>869</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00415-020-09705-7</pub-id><pub-id pub-id-type="pmid">31974807</pub-id></mixed-citation>
</ref>
<ref id="B44">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schreiner</surname> <given-names>S. J.</given-names></name> <name><surname>Werth</surname> <given-names>E.</given-names></name> <name><surname>Ballmer</surname> <given-names>L.</given-names></name> <name><surname>Valko</surname> <given-names>P. O.</given-names></name> <name><surname>Schubert</surname> <given-names>K. M.</given-names></name> <name><surname>Imbach</surname> <given-names>L. L.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Sleep spindle and slow wave activity in Parkinson disease with excessive daytime sleepiness</article-title>. <source>Sleep</source> <volume>46</volume>:<fpage>zsac165</fpage>. doi: <pub-id pub-id-type="doi">10.1093/sleep/zsac165</pub-id><pub-id pub-id-type="pmid">35877159</pub-id></mixed-citation>
</ref>
<ref id="B45">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Seo</surname> <given-names>M.</given-names></name> <name><surname>Bae</surname> <given-names>J. H.</given-names></name></person-group> (<year>2024</year>). <article-title>Nonpharmacologic treatment of chronic constipation</article-title>. <source>Korean J. Gastroenterol.</source> <volume>83</volume>, <fpage>191</fpage>&#x02013;<lpage>196</lpage>. doi: <pub-id pub-id-type="doi">10.4166/kjg.2024.044</pub-id><pub-id pub-id-type="pmid">38783620</pub-id></mixed-citation>
</ref>
<ref id="B46">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shaheen</surname> <given-names>N.</given-names></name> <name><surname>Miao</surname> <given-names>J.</given-names></name> <name><surname>Xia</surname> <given-names>B.</given-names></name> <name><surname>Zhao</surname> <given-names>Y.</given-names></name> <name><surname>Zhao</surname> <given-names>J.</given-names></name></person-group> (<year>2025</year>). <article-title>Multifaceted role of microbiota-derived indole-3-acetic acid in human diseases and its potential clinical application</article-title>. <source>FASEB J.</source> <volume>39</volume>:<fpage>e70574</fpage>. doi: <pub-id pub-id-type="doi">10.1096/fj.202500295R</pub-id><pub-id pub-id-type="pmid">40415505</pub-id></mixed-citation>
</ref>
<ref id="B47">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shen</surname> <given-names>Y.</given-names></name> <name><surname>Lv</surname> <given-names>Q. K.</given-names></name> <name><surname>Xie</surname> <given-names>W. Y.</given-names></name> <name><surname>Gong</surname> <given-names>S. Y.</given-names></name> <name><surname>Zhuang</surname> <given-names>S.</given-names></name> <name><surname>Liu</surname> <given-names>J. Y.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Circadian disruption and sleep disorders in neurodegeneration</article-title>. <source>Transl. Neurodegener.</source> <volume>12</volume>:<fpage>8</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40035-023-00340-6</pub-id><pub-id pub-id-type="pmid">36782262</pub-id></mixed-citation>
</ref>
<ref id="B48">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shin</surname> <given-names>J. A.</given-names></name> <name><surname>Park</surname> <given-names>H.</given-names></name> <name><surname>Choi</surname> <given-names>H.</given-names></name> <name><surname>Chang</surname> <given-names>Y. K.</given-names></name> <name><surname>Kim</surname> <given-names>J. J.</given-names></name> <name><surname>Ham</surname> <given-names>Y. R.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>&#x003C9;-3 polyunsaturated fatty acids improve the blood-brain-barrier integrity in contrast-induced blood-brain-barrier injury in uremic mice</article-title>. <source>Int. J. Mol. Sci.</source> <volume>24</volume>:<fpage>12168</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms241512168</pub-id><pub-id pub-id-type="pmid">37569545</pub-id></mixed-citation>
</ref>
<ref id="B49">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Soni</surname> <given-names>S.</given-names></name> <name><surname>Purohit</surname> <given-names>A.</given-names></name> <name><surname>Nema</surname> <given-names>P.</given-names></name> <name><surname>Rawal</surname> <given-names>R.</given-names></name> <name><surname>Kumar</surname> <given-names>A.</given-names></name> <name><surname>Soni</surname> <given-names>V.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>A significant prospective on nanorobotics in precision medicine and therapeutic interventions</article-title>. <source>Pharm. Nanotechnol.</source> doi: <pub-id pub-id-type="doi">10.2174/0122117385310095240913102242</pub-id><pub-id pub-id-type="pmid">39328130</pub-id></mixed-citation>
</ref>
<ref id="B50">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Taillard</surname> <given-names>J.</given-names></name> <name><surname>Micoulaud-Franchi</surname> <given-names>J. A.</given-names></name> <name><surname>Martin</surname> <given-names>V. P.</given-names></name> <name><surname>Peter-Derex</surname> <given-names>L.</given-names></name> <name><surname>Vecchierini</surname> <given-names>M. F.</given-names></name></person-group> (<year>2024</year>). <article-title>Objective evaluation of excessive daytime sleepiness</article-title>. <source>Neurophysiol. Clin.</source> <volume>54</volume>:<fpage>102938</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neucli.2023.102938</pub-id><pub-id pub-id-type="pmid">38401239</pub-id></mixed-citation>
</ref>
<ref id="B51">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Torres-Ortu&#x000F1;o</surname> <given-names>A.</given-names></name></person-group> (<year>2023</year>). <article-title>Nonpharmacological treatment for coping with pain</article-title>. <source>Blood Coagul. Fibrinolysis</source> <volume>34</volume>, <fpage>S19</fpage>&#x02013;<lpage>S21</lpage>. doi: <pub-id pub-id-type="doi">10.1097/MBC.0000000000001218</pub-id><pub-id pub-id-type="pmid">37254726</pub-id></mixed-citation>
</ref>
<ref id="B52">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Torres-Rom&#x000E1;n</surname> <given-names>A. L.</given-names></name> <name><surname>Rodr&#x000ED;guez-Flores</surname> <given-names>K. L.</given-names></name> <name><surname>Hern&#x000E1;ndez-Mora</surname> <given-names>V. M.</given-names></name> <name><surname>Ruiz-Garc&#x000ED;a</surname> <given-names>E.</given-names></name> <name><surname>Prospero-Garc&#x000ED;a</surname> <given-names>O.</given-names></name> <name><surname>Guijosa</surname> <given-names>A.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Examining the role of histaminergic, orexinergic, and cannabinergic systems in redox regulation in gastric adenocarcinoma</article-title>. <source>Mini Rev. Med. Chem.</source> <volume>23</volume>, <fpage>1806</fpage>&#x02013;<lpage>1817</lpage>. doi: <pub-id pub-id-type="doi">10.2174/1389557523666230221104504</pub-id><pub-id pub-id-type="pmid">36809932</pub-id></mixed-citation>
</ref>
<ref id="B53">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wagner</surname> <given-names>C. A.</given-names></name> <name><surname>Frey-Wagner</surname> <given-names>I.</given-names></name> <name><surname>Ortiz</surname> <given-names>A.</given-names></name> <name><surname>Unwin</surname> <given-names>R.</given-names></name> <name><surname>Liabeuf</surname> <given-names>S.</given-names></name> <name><surname>Suzumoto</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>The role of the intestinal microbiome in cognitive decline in patients with kidney disease</article-title>. <source>Nephrol. Dial. Transplant.</source> 40, ii4&#x02013;ii17. doi: <pub-id pub-id-type="doi">10.1093/ndt/gfae253</pub-id><pub-id pub-id-type="pmid">40080091</pub-id></mixed-citation>
</ref>
<ref id="B54">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>K. T.</given-names></name> <name><surname>Xu</surname> <given-names>D.</given-names></name> <name><surname>Wang</surname> <given-names>Y. L.</given-names></name> <name><surname>Dong</surname> <given-names>X. R.</given-names></name> <name><surname>Tang</surname> <given-names>J.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Current research trends in cytokine storm: a scientometric study</article-title>. <source>Curr. Drug Targets</source> <volume>23</volume>, <fpage>1136</fpage>&#x02013;<lpage>1154</lpage>. doi: <pub-id pub-id-type="doi">10.2174/1389450123666220414135249</pub-id><pub-id pub-id-type="pmid">35430989</pub-id></mixed-citation>
</ref>
<ref id="B55">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>M. Y.</given-names></name> <name><surname>Zhou</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>W. L.</given-names></name> <name><surname>Zhu</surname> <given-names>L. Q.</given-names></name> <name><surname>Liu</surname> <given-names>D.</given-names></name></person-group> (<year>2024</year>). <article-title>Friend or foe: lactate in neurodegenerative diseases</article-title>. <source>Ageing Res. Rev.</source> <volume>101</volume>:<fpage>102452</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.arr.2024.102452</pub-id><pub-id pub-id-type="pmid">39127445</pub-id></mixed-citation>
</ref>
<ref id="B56">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Watanabe</surname> <given-names>K.</given-names></name> <name><surname>Sato</surname> <given-names>E.</given-names></name> <name><surname>Mishima</surname> <given-names>E.</given-names></name> <name><surname>Watanabe</surname> <given-names>M.</given-names></name> <name><surname>Abe</surname> <given-names>T.</given-names></name> <name><surname>Takahashi</surname> <given-names>N.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Effect of uremic toxins on hippocampal cell damage: analysis in vitro and in rat model of chronic kidney disease</article-title>. <source>Heliyon</source> <volume>7</volume>:<fpage>e06221</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.heliyon.2021.e06221</pub-id><pub-id pub-id-type="pmid">33659745</pub-id></mixed-citation>
</ref>
<ref id="B57">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Worth</surname> <given-names>H.</given-names></name></person-group> (<year>2023</year>). <article-title>[Nonpharmacological treatment of asthma]</article-title>. <source>MMW Fortschr. Med.</source> <volume>165</volume>, <fpage>40</fpage>&#x02013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s15006-023-2649-x</pub-id></mixed-citation>
</ref>
<ref id="B58">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>Y.</given-names></name> <name><surname>Gao</surname> <given-names>W.</given-names></name> <name><surname>Sun</surname> <given-names>Y.</given-names></name> <name><surname>Wu</surname> <given-names>M.</given-names></name></person-group> (<year>2023</year>). <article-title>New insight on microglia activation in neurodegenerative diseases and therapeutics</article-title>. <source>Front. Neurosci.</source> <volume>17</volume>:<fpage>1308345</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnins.2023.1308345</pub-id><pub-id pub-id-type="pmid">38188026</pub-id></mixed-citation>
</ref>
<ref id="B59">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yan</surname> <given-names>Q.</given-names></name> <name><surname>Liu</surname> <given-names>M.</given-names></name> <name><surname>Xie</surname> <given-names>Y.</given-names></name> <name><surname>Lin</surname> <given-names>Y.</given-names></name> <name><surname>Fu</surname> <given-names>P.</given-names></name> <name><surname>Pu</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Kidney-brain axis in the pathogenesis of cognitive impairment</article-title>. <source>Neurobiol. Dis.</source> <volume>200</volume>:<fpage>106626</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nbd.2024.106626</pub-id><pub-id pub-id-type="pmid">39122123</pub-id></mixed-citation>
</ref>
<ref id="B60">
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zwiep</surname> <given-names>J. C.</given-names></name> <name><surname>Bet</surname> <given-names>P. M.</given-names></name> <name><surname>Rhebergen</surname> <given-names>D.</given-names></name> <name><surname>Nurmohamed</surname> <given-names>M. T.</given-names></name> <name><surname>Vinkers</surname> <given-names>C. H.</given-names></name> <name><surname>Penninx</surname> <given-names>B. W. J. H.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Efficacy of celecoxib add-on treatment for immuno-metabolic depression: protocol of the INFLAMED double-blind placebo-controlled randomized controlled trial</article-title>. <source>Brain Behav. Immun. Health</source> <volume>27</volume>:<fpage>100585</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbih.2022.100585</pub-id><pub-id pub-id-type="pmid">36655056</pub-id></mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/479317/overview">Hi-Joon Park</ext-link>, Kyung Hee University, Republic of Korea</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/278603/overview">Carsten Theiss</ext-link>, Ruhr University Bochum, Germany</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1069106/overview">Mohammad I. K. Hamad</ext-link>, United Arab Emirates University, United Arab Emirates</p>
</fn>
</fn-group>
</back>
</article>