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<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2025.1648800</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Microbiota-gut-brain axis in vascular cognitive impairment: unraveling the mysterious link and therapeutic prospects</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Tingting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Xiong</surname>
<given-names>Xuejiao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lai</surname>
<given-names>Xinxing</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xu</surname>
<given-names>Xiangqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine</institution>, <addr-line>Jinan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine</institution>, <addr-line>Jinan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute for Brain Disorders, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Neurology, Dongzhimen Hospital, Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Beijing University of Chinese Medicine</institution>, <addr-line>Beijing</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Am&#xe9;lia M. Sarmento, Fernando Pessoa University, Portugal</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/430301/overview">Wencan He</ext-link>, Sun Yat-Sen University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3138244/overview">David Kaulmann</ext-link>, Weizmann Institute of Science, Israel</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiangqing Xu, <email xlink:href="mailto:happyxiangqing@163.com">happyxiangqing@163.com</email>; Xinxing Lai, <email xlink:href="mailto:new-star@163.com">new-star@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1648800</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liu, Li, Xiong, Lai and Xu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Li, Xiong, Lai and Xu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Vascular cognitive impairment (VCI) exhibits particularly high prevalence in East Asian populations. However, its pathogenesis remains elusive due to its multifactorial and complex nature. Emerging evidence highlights the microbiota-gut-brain axis as a novel and promising paradigm for elucidating VCI mechanisms and developing therapeutic interventions. This systematic review aims to synthesize recent advances in this field, offering critical perspectives to guide future research on VCI through the lens of gut-brain interactions. Notably, given Traditional Chinese Medicine&#x2019;s (TCM) holistic and multi-target therapeutic advantages, we incorporate TCM studies to complement conventional approaches.</p>
</sec>
<sec>
<title>Methods</title>
<p>We systematically searched PubMed, EMBASE, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database for relevant studies from their inception to March 31, 2025, and conducted a comprehensive review.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 22 relevant studies were included in the final review. Current research primarily focused on analyzing the altered gut microbiota in VCI patients, with findings indicating significant changes in both the structure and abundance of gut microbiota. <italic>Enterobacteriaceae</italic> exhibited potential as a diagnostic biomarker for post-stroke cognitive impairment (PSCI) (AUC=0.629), while distinct microbial signatures involving <italic>Bifidobacterium</italic>, <italic>Lactobacillus gasseri</italic>, and <italic>Anaerostipes hadrus</italic> may effectively differentiated PSCI patients from stroke survivors without cognitive deficits (AUC values of 0.785, 0.792, and 0.750, respectively). Furthermore, multiple interventional studies from both basic and clinical research systematically explored the microbiota-gut-brain axis as a promising therapeutic target for VCI. They evaluated the efficacy of diverse approaches&#x2014;such as fecal microbiota transplantation, aerobic exercise, pharmacological interventions, and acupuncture&#x2014;on key outcome including gut microbiota composition, cognitive function, hippocampal integrity, and inflammatory markers. Basic experimental studies revealed that <italic>Prevotella histicola</italic>, <italic>Clostridium butyricum</italic>, aerobic exercise, and TCM improved cognitive function, whereas trimethylamine N-oxide exacerbated cognitive impairment. The efficacy of TCM was further confirmed by clinical studies.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Research is in its early stages, but the microbiota-gut-brain axis already offers promising prospects for a deeper understanding and discovery of potential new therapeutic targets for VCI.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/prospero">https://www.crd.york.ac.uk/prospero</uri>, identifier CRD42024560293.</p>
</sec>
</abstract>
<kwd-group>
<kwd>vascular cognitive impairment</kwd>
<kwd>microbiota-gut-brain axis</kwd>
<kwd>pathogenesis</kwd>
<kwd>treatment</kwd>
<kwd>systematic review</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="13"/>
<word-count count="5471"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Microbial Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Vascular cognitive impairment (VCI) refers to cognitive dysfunction caused by cerebrovascular pathologies and their risk factors, encompassing the full disease spectrum from mild cognitive impairment to dementia (<xref ref-type="bibr" rid="B1">1</xref>). The disorder is typically characterized by impairments in reasoning, planning, judgment and other cognitive functions, with particularly notable executive dysfunction, and may be accompanied by gait abnormalities (<xref ref-type="bibr" rid="B2">2</xref>). Although the exact prevalence of VCI remains undetermined, epidemiological studies show its subtype vascular dementia (VaD) ranks as the second leading cause of dementia worldwide, accounting for approximately 20-40% of all dementia cases, and appears to be the predominant dementia subtype in Southeast Asian populations (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Despite its significant clinical burden, effective therapies for VCI remain limited.</p>
<p>Chronic cerebral hypoperfusion serves as a primary driver of VCI. Numerous risk factors for VCI have been identified, particularly vascular risk factors including hypertension, obesity, diabetes mellitus, dyslipidemia, hyperhomocysteinemia, and smoking (<xref ref-type="bibr" rid="B5">5</xref>). However, the precise pathogenesis of VCI remains incompletely understood and may involve multiple interrelated mechanisms: neurovascular dysfunction, blood-brain barrier disruption, white matter damage, oxidative stress, neuroinflammation, and alterations in the gut microbiota (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Among these factors, the gut microbiota has recently emerged as a crucial research focus in VCI. The gut microbiota refers to the microorganisms residing in the gastrointestinal tract, including bacteria, archaea, and eukaryotes (<xref ref-type="bibr" rid="B7">7</xref>). It may influence physiological, behavioral, and cognitive brain functions through the gut-brain axis via neural, immune, endocrine, and metabolic pathways (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>The gut microbiota, as a key component of the gastrointestinal tract, and emerging research suggests that the classic bidirectional interaction between the gut and the brain (brain-gut axis) should be expanded to include the gut microbiota, forming what is now termed the microbiota-gut-brain axis (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). On the one hand, the brain regulates various physiological processes in the intestine through the hypothalamus-pituitary-adrenal (HPA) axis and the autonomic nervous system; on the other hand, the intestine regulates brain function through various microorganisms and their derived metabolites and products, as well as neuroactive substances. These metabolites and products pass through the enteric nervous system, vagus nerve, circulatory system and immune system to reach the brain (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Gut microbiota-derived components such as microbial antigens, cytokines, and prostaglandins can traverse the blood-brain barrier to activate the HPA axis, whereas certain microbial metabolites like short-chain fatty acids demonstrate the capacity to attenuate HPA axis responses; moreover, bacterial-derived neurotransmitters can directly interact with vagal afferent nerves (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). The hepatic and celiac branches of the vagus nerve exhibit particular susceptibility to stimulation by gut microbiota-derived molecules (including nitric oxide and bile acids), metabolites (such as short-chain fatty acids and trimethylamine N-oxide), and enteroendocrine hormones, which upon entering systemic circulation can exert central nervous system effects either by crossing the blood-brain barrier or via neural pathways (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Through these concerted mechanisms, the gut microbiota collectively regulates neuronal activity, astrocytic function, microglial polarization states, and blood-brain barrier integrity, thereby contributing to neuroinflammatory processes, cerebrovascular dysfunction, and neuronal injury.</p>
<p>In recent years, a series of studies on the relationship between the microbiota-gut-brain axis and VCI have been conducted, including investigations into the characteristics of gut microbiota in VCI and the mechanisms by which the microbiota and its metabolites influence VCI progression (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). The microbiota-gut-brain axis offers a promising framework for understanding and potentially treating VCI. This framework not only facilitates a deeper understanding of VCI pathogenesis but may also identify novel therapeutic targets to delay disease progression and reduce VCI risk, which is critical for advancing drug development.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The microbiota-gut-brain axis in vascular cognitive impairment. The black arrow (&#x2191;) represents the elevated gut microbiota expressed in vascular cognitive impairment, and the black arrow (&#x2193;) represents the declining expression of the gut microbiota expressed in vascular cognitive impairment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1648800-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating the interaction between gut microbiota and brain functions. The left panel lists different gut bacteria like Bifidobacterium increasing and Ruminococcus decreasing. The central part shows connections via the HPA axis, immune system, vagus nerve, enteric nervous system, and microbial metabolites. Influences include fecal microbiota transplantation, aerobic exercise, and traditional Chinese medicine. Arrows indicate pathways between the gut and brain.</alt-text>
</graphic>
</fig>
<p>Recognizing the current lack of systematic reviews addressing the relationship between the microbiota-gut-brain axis and VCI, we conducted the first systematic review to summarize recent progress and highlight the challenges that must be addressed. Furthermore, given the multifaceted pathological mechanisms underlying VCI&#x2014;where conventional single-target therapies frequently demonstrate restricted clinical efficacy&#x2014;our investigation intentionally incorporated TCM research due to its distinctive holistic approach and multi-target therapeutic potential. This systematic review aims to provide important insights for future research on VCI through the lens of the microbiota-gut-brain axis.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Search strategy and selection criteria</title>
<p>The study protocol was registered on PROSPERO (CRD42024560293) on June 20, 2024, and this systematic review strictly adhered to the registered protocol. Seven electronic databases were searched without language limitation (from their inception to March 31, 2025), including PubMed, EMBASE, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and Wanfang database. All searches were performed by combining free-text and MESH terms, containing vascular cognitive impairment, vascular dementia, multiinfarct dementia, post stroke cognitive impairment, cerebral small vessel disease, brain-gut axis, gut microbiome, and intestine flora.</p>
<p>Two reviewers (Y.L. and X.X.) independently screened titles, abstracts and selected potential full-texts for further analysis. Those studies fulfilling our pre-defined eligibility criteria were included in the review. Any disagreements were resolved by discussion or consultation with a third reviewer (X.X.). The detailed inclusion criteria were: (a) VCI patients or VCI animals, (b) application of microbiota-gut-brain axis to study VCI, and (c) experimental or observational studies. Exclusion criteria included abstracts, editorials, letters, reviews, case reports, and review papers.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data extraction</title>
<p>Data were independently extracted by 2 reviewers (Y.L. and X.X.) using a preformulated data collection form. A narrative summary of the results was produced according to specific data subjects, basically including: (a) the article&#x2019;s author and publication year; (b) study characteristics, involving study location, VCI type, sample size, differential gut microbiota (or metabolites) and their effects, intervention methods and their effects on gut microbiota and cognitive function. For each study, all relevant data were extracted from tables, figures, text, and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Quality assessment</title>
<p>The risk of bias assessment for included studies was conducted independently by two reviewers (Y.L. and X.X.): randomized controlled trials were evaluated using the Cochrane Risk of Bias Tool version 2.0, while other clinical studies were assessed with the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies developed by the National Heart, Lung, and Blood Institute of the National Institutes of Health, with quality thresholds defined as &#x2265; 75% (good), 50-74% (fair), and &lt; 50% (poor) (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Animal studies were evaluated using the SYRCLE&#x2019;s Risk of Bias Tool (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>A total of 260 studies were retrieved through seven electronic database systems, with 59 excluded due to duplication. After screening titles and abstracts, 85 potentially relevant full-text articles were identified. Ultimately, 22 studies (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>) were included in the final analysis (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Flow diagram of study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1648800-g002.tif">
<alt-text content-type="machine-generated">Flowchart of a systematic review process. Databases searched include PubMed (39), EMBASE (65), WOSCC (16), Cochrane Library (18), CNKI (58), Wanfang (36), and VIP (28). From 201 records, 116 are excluded: 91 reviews, 1 case report, and 21 others. 85 full-text articles are assessed, and 63 are excluded: 17 not related to vascular cognitive impairment, 20 reviews, and 26 others. Final synthesis includes 22 articles.</alt-text>
</graphic>
</fig>
<p>Of the 22 studies on VCI, 11 were basic research experiments (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B42">42</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>), and 11 were clinical trials (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>). A total of 527 rats and 129 mice were included in the basic research experiment, and a total of 787 human subjects were included in the clinical trial. In the clinical trial, there were 252 women except for two studies that did not report gender-specific data. Seven studies focused on the gut microbial characteristics of VCI, and 15 examined interventions targeting the microbiota-gut-brain axis in the context of VCI.</p>
<sec id="s3_1">
<label>3.1</label>
<title>The close relationship between gut microbiota and VCI</title>
<p>This section included a total of seven studies, six of which analyzed the gut microbiota characteristics of VCI patients (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>), and one study explored the relationship between gut proteins and VCI (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B19">19</xref>). All studies demonstrated fair methodological quality (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The close relationship between gut microbiota and VCI.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Source</th>
<th valign="middle" align="left">Origin</th>
<th valign="middle" align="left">Diseases</th>
<th valign="middle" align="left">Population</th>
<th valign="middle" align="left">Sample size</th>
<th valign="middle" align="left">Sex (M/F)</th>
<th valign="middle" align="left">Microbiome method</th>
<th valign="middle" align="left">Gut microbiota (or metabolites) changes</th>
<th valign="middle" align="left">Correlation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Li et&#xa0;al, 2022<break/>(<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">PSCI: 29; stroke: 18; HC: 20</td>
<td valign="middle" align="left">34/33</td>
<td valign="middle" align="left">16S rRNA</td>
<td valign="middle" align="left">&#x2191;: <italic>Faecalibacterium</italic>, <italic>Bacteroides</italic>, <italic>Pseudomonas</italic>
<break/>&#x2193;: <italic>Ruminococcus</italic>
</td>
<td valign="middle" align="left">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Li et&#xa0;al, 2022<break/>(<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">PSCI: 12; PSNCI: 12; HC: 12</td>
<td valign="middle" align="left">20/16</td>
<td valign="middle" align="left">16S rRNA</td>
<td valign="middle" align="left">&#x2191;: <italic>Bifidobacterium</italic> genus, <italic>Alloscardovia</italic> genus, <italic>Alloscardovia omnilens</italic> bacteria, <italic>Lactobacillus gasseri</italic> bacteria, <italic>Anaerostipes hadrus</italic> bacteria</td>
<td valign="middle" align="left">
<italic>Anaerostipes hadrus</italic> was negatively correlated with the MoCA scores;<break/>
<italic>Bifidobacterium, Lactobacillus gasseri</italic>, and <italic>Anaerostipes hadrus</italic> could be used to distinguish PSCI from PSNCI patients.</td>
</tr>
<tr>
<td valign="middle" align="left">Boschetti et&#xa0;al, 2023<break/>(<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">VaD: 18;<break/>LOAD: 40;<break/>MD: 42;<break/>aMCI: 36;<break/>HC: 23</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">ELISA</td>
<td valign="middle" align="left">Zonulin was not increased in VaD</td>
<td valign="middle" align="left">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Ling et&#xa0;al, 2020<break/>(<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">stroke: 93 (PSCI: 53; PSNCI: 40)</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">16S rRNA</td>
<td valign="middle" align="left">&#x2191;:<italic>Gammaproteobacteria, Enterobacteriales, Enterobacteriaceae, Klebsiella, Prevotella</italic>
<break/>&#x2193;: <italic>Firmicutes</italic>, and its members, including <italic>Clostridia</italic>, <italic>Clostridiales</italic>, <italic>Lachnospiraceae</italic>, and <italic>Lachnospiraceae_other</italic>
</td>
<td valign="middle" align="left">
<italic>f_Lachnospiraceae_other</italic>, <italic>Fusicatenibacter</italic>, <italic>Parasutterella</italic>, <italic>Phascolarctobacterium</italic>, <italic>Clostridium_XVIII</italic>, and <italic>Butyricicoccus</italic> were positively associated with the MoCA scores;<break/>
<italic>Klebsiella</italic>, <italic>Enterococcus, Enterobacteriaceae_other</italic>, <italic>Clostridium_sensu_stricto</italic>, <italic>Olsenella</italic>, <italic>Prevotella</italic>, <italic>Dialister</italic>, and <italic>Alloprevotella</italic> were negatively associated with the MoCA score;<break/>
<italic>Enterobacteriaceae</italic> may be used as clinical biomarkers of PSCI.</td>
</tr>
<tr>
<td valign="middle" align="left">Tian et&#xa0;al, 2023<break/>(<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">PSCI: 19; HC: 19</td>
<td valign="middle" align="left">19/19</td>
<td valign="middle" align="left">16S rRNA</td>
<td valign="middle" align="left">&#x2191;: <italic>Lactobacillus</italic>
</td>
<td valign="middle" align="left">
<italic>Romboutsia</italic> and <italic>Peptostreptococcaceae</italic> was negatively correlated with the MoCA scores.</td>
</tr>
<tr>
<td valign="middle" align="left">Xu et&#xa0;al, 2023<break/>(<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">VaD: 30; HC: 30</td>
<td valign="middle" align="left">31/29</td>
<td valign="middle" align="left">16S rRNA</td>
<td valign="middle" align="left">&#x2191;: <italic>Bacteroides</italic>, <italic>Lactobacillus</italic>, <italic>Escherichia-Shigella</italic>, <italic>Klebsiella</italic>, <italic>Prevotella</italic>&#x332;9, <italic>Succinivibrionaceae</italic>, <italic>Enterobacteriaceae</italic>, <italic>Proteobacteria</italic>
</td>
<td valign="middle" align="left">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Li et&#xa0;al, 2024<break/>(<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VCI</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">VCI: 16; HC: 18</td>
<td valign="middle" align="left">12/22</td>
<td valign="middle" align="left">16S rRNA</td>
<td valign="middle" align="left">&#x2191;: <italic>Bifidobacterium, Veillonella</italic>, <italic>Ruminococcus gnavus</italic>, <italic>Fusobacterium</italic>, <italic>Erysipelatoclostridium</italic>
<break/>&#x2193;: <italic>Collinsella</italic>
</td>
<td valign="middle" align="left">
<italic>Ruminococcus gnavus</italic> was negatively associated with MoCA score, which was mediated by CBF in the bilateral hypothalamus and left amygdala.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>(&#x2191;) increased; (&#x2193;) decreased; aMCI, amnestic mild cognitive impairment; AD, Alzheimer&#x2019;s disease; HC, healthy control; LOAD, late-onset Alzheimer&#x2019;s disease; MD, mixed dementia; MoCA, montreal cognitive assessment; NA, not applicable; PSCI, post stroke cognitive impairment; PSNCI, post stroke non cognitive impairment; VaD, vascular dementia; VCI, vascular cognitive impairment. NA, not applicable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Four studies focused on the characteristics of gut microbiota in Chinese patients with post-stroke cognitive impairment (PSCI) and its relationship with cognitive function (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Through 16S rRNA sequencing of fecal samples, these studies consistently demonstrated significant structural alterations in the gut microbiome of PSCI patients. The timing of assessment varied across studies, with Li et&#xa0;al. and Tian et&#xa0;al. evaluating patients within one month post-stroke (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B39">39</xref>), while Ling et&#xa0;al. extended the observation window to three months post-stroke (<xref ref-type="bibr" rid="B22">22</xref>). Notably, Li et&#xa0;al.&#x2019;s study of 12 PSCI patients (5 females; mean age 60.75 &#xb1; 12.45 years) revealed increased abundance of <italic>Actinobacteria</italic> (<italic>Bifidobacterium</italic>, <italic>Alloscardovia</italic>, <italic>Alloscardovia omnilens</italic>) and <italic>Firmicutes</italic> (<italic>Lactobacillus gasseri</italic>, <italic>Anaerostipes hadrus</italic>) compared to post-stroke non-cognitive impairment (PSNCI) and control groups, with <italic>Anaerostipes hadrus</italic> showing a negative correlation with Montreal Cognitive Assessment (MoCA) scores (<xref ref-type="bibr" rid="B35">35</xref>). Tian et&#xa0;al.&#x2019;s study of 19 PSCI patients (7 females; mean age 58.16 &#xb1; 7.81 years) demonstrated elevated <italic>Lactobacillus</italic> levels versus healthy controls, while <italic>Romboutsia</italic> and <italic>Peptostreptococcaceae</italic> were negatively associated with MoCA performance (<xref ref-type="bibr" rid="B39">39</xref>). Another study by Li et&#xa0;al. involving 29 PSCI patients (15 females; mean age 68.5 &#xb1; 9.9 years) observed increased conditional pathogens (<italic>Faecalibacterium</italic>, <italic>Bacteroides</italic>, <italic>Pseudomonas</italic>) alongside decreased beneficial bacteria like <italic>Ruminococcus</italic> when compared to stroke patients without cognitive impairment and healthy controls (<xref ref-type="bibr" rid="B36">36</xref>). Interestingly, Ling et&#xa0;al.&#x2019;s longitudinal study of 135 ischemic stroke patients (with 93 analyzable at 3 months: 53 PSCI vs 40 PSNCI) found significantly reduced <italic>Firmicutes</italic> (<italic>Clostridia</italic>, <italic>Clostridiales</italic>, <italic>Lachnospiraceae</italic>, and <italic>Lachnospiraceae_other</italic>) and markedly increased <italic>Enterobacteriaceae</italic> abundance in the PSCI group (<xref ref-type="bibr" rid="B22">22</xref>). These distinct microbial patterns show promise as potential diagnostic biomarkers for PSCI monitoring and clinical management.</p>
<p>Similar gut microbiota alterations were observed in both VaD and VCI patients. The VaD study included 30 patients (12 females; mean age 68.17 &#xb1; 10.249 years) showing significantly increased abundances of <italic>Bacteroides</italic>, <italic>Lactobacillus</italic>, and <italic>Escherichia-Shigella</italic> compared to healthy controls (<xref ref-type="bibr" rid="B33">33</xref>). In parallel, the VCI investigation of 16 patients (9 females; mean age 69.75 &#xb1; 6.44 years) revealed elevated levels of <italic>Bifidobacterium</italic>, <italic>Veillonella</italic>, <italic>Ruminococcus gnavus</italic>, <italic>Fusobacterium</italic>, and <italic>Erysipelatoclostridium</italic>, alongside significantly reduced <italic>Collinsella</italic> abundance versus controls (<xref ref-type="bibr" rid="B28">28</xref>). Of particular clinical significance, <italic>Ruminococcus gnavus</italic> levels demonstrated a negative correlation with MoCA scores. Neuroimaging analyses further identified markedly diminished cerebral blood flow in bilateral hypothalamic and left amygdalar regions, suggesting these nutrient-sensitive brain areas may critically contribute to VCI pathogenesis through gut-brain axis interactions.</p>
<p>Current understanding indicated that serum zonulin plays a crucial regulatory role in maintaining intestinal and blood-brain barrier function through its modulation of tight junction proteins (<xref ref-type="bibr" rid="B45">45</xref>). However, emerging clinical evidence failed to demonstrate elevated zonulin levels in patients with vascular dementia (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Microbiota-gut-brain axis as a potential therapeutic target for VCI</title>
<p>Currently, there are no effective and therapeutic approaches for VCI. Given the well-established brain-gut connection and particularly the crucial role of gut microbiota in VCI pathogenesis, growing research attention has been directed toward targeting the microbiota-gut-brain axis as a potential treatment strategy (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>). This section includes 15 studies, comprising four clinical trials and 11 experimental research. The overall risk of bias for clinical trials was rated as moderate (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>). With the exception of one animal study that was judged to have an unclear risk of bias, all others were assessed as high risk (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>). These studies explored diverse intervention approaches, including gut microbiota manipulation, exercise interventions, and traditional Chinese medicine (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Microbiota-gut-brain axis as a potential therapeutic target for VCI.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Source</th>
<th valign="middle" align="left">Origin</th>
<th valign="middle" align="left">Diseases</th>
<th valign="middle" align="left">Type of study</th>
<th valign="middle" align="left">Population</th>
<th valign="middle" align="left">Sample size</th>
<th valign="middle" align="left">Sex (M/F)</th>
<th valign="middle" align="left">Intervention</th>
<th valign="middle" align="left">Impact on gut microbiota (or metabolites)</th>
<th valign="middle" align="left">Impact on brain</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="10" align="left">Gut microbiota and its metabolites</th>
</tr>
<tr>
<td valign="middle" align="left">Duan et&#xa0;al, 2023 (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + <italic>Prevotella histicola</italic>: 30; 2VO: 30;<break/>Sham: 30</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">
<italic>Prevotella histicola</italic>
</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">Increased CF, synapse-associated protein expression, neurotrophic factors;<break/>Decreased the pro-inflammatory factors and glial cell-associated inflammation.</td>
</tr>
<tr>
<td valign="middle" align="left">Liu et&#xa0;al, 2023 (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Mouse</td>
<td valign="middle" align="left">VO + CB<sub>1</sub>: 15; VO + CB<sub>2</sub>: 15; VO + CB<sub>3</sub>: 15; VO: 12; Sham: 12</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">
<italic>Clostridium butyricum</italic>
</td>
<td valign="middle" align="left">Regulated the intestinal flora;<break/>Restored butyrate levels in feces and brain.</td>
<td valign="middle" align="left">Improved the CF;<break/>Increased the levels of BDNF and Bcl-2;<break/>Reduced the levels of Bax, neuronal apoptosis, and tissue pathological changes.</td>
</tr>
<tr>
<td valign="middle" align="left">Deng et&#xa0;al, 2022 (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + TMAO: 6; 2VO + TMAO + LV-NC: 6; 2VO + TMAO + SIRT1: 6; 2VO: 6; Sham: 6; TMAO: 6</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">TMAO</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">Aggravated cognitive and synaptic plasticity impairment;<break/>Increased oxidative stress, apoptosis and neuroinflammation;<break/>Reduced the expression of SIRT1 protein in the hippocampu.</td>
</tr>
<tr>
<td valign="middle" align="left">Zhu et&#xa0;al, 2021 (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Mouse</td>
<td valign="middle" align="left">TMAO: 8; Control: 11;<break/>Choline:11</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">TMAO</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">Increased cerebral infarction volume;<break/>Aggravated cognitive impairment.</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">Exercise intervention</th>
</tr>
<tr>
<td valign="middle" align="left">Deng et&#xa0;al, 2022 (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + Swim: 12; 2VO: 12; Sham: 30</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">Swim</td>
<td valign="middle" align="left">&#x2191;: <italic>Lactobacillus</italic>
<break/>&#x2193;: <italic>Ruminococcus</italic>
<break/>Normalized the diversity of gut microbiota and adjusted the differences between microbiota communities.</td>
<td valign="middle" align="left">Improved the learning and memory function.</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">Traditional Chinese medicine</th>
</tr>
<tr>
<td valign="middle" align="left">Chen et&#xa0;al, 2022 (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + EA<sub>1</sub>: 10; 2VO + A<sub>2</sub>: 10; 2VO +EA<sub>3</sub>: 10; 2VO: 10; Sham: 10</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">Electroacupuncture</td>
<td valign="middle" align="left">&#x2191;: <italic>Clostridiales&#x332;unclassified</italic>
<break/>&#x2193;: <italic>Catabacter</italic>, <italic>Ruminococcus</italic>, <italic>Desulfovibrio</italic>
</td>
<td valign="middle" align="left">Improved the CF;<break/>Decreased the contents of IL-1&#x3b2; and IL-18 in serum;<break/>Alleviated the damage to intestinal mucosa and hippocampal neurons.</td>
</tr>
<tr>
<td valign="middle" align="left">Xiao et&#xa0;al, (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">CR</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">PSCI + Acupuncture: 26; PSCI: 26</td>
<td valign="middle" align="center">30/22</td>
<td valign="middle" align="left">Acupuncture</td>
<td valign="middle" align="left">&#x2191;: <italic>Bifidobacterium, Lactobacillus</italic>
<break/>&#x2193;: <italic>Escherichia coli</italic>
</td>
<td valign="middle" align="left">Improved CF.</td>
</tr>
<tr>
<td valign="middle" align="left">Jing et&#xa0;al, 2024 (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">CR</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">PSCI + Tongdu Tiaoshen acupuncture: 62; PSCI: 62</td>
<td valign="middle" align="center">72/52</td>
<td valign="middle" align="left">Tongdu Tiaoshen acupuncture</td>
<td valign="middle" align="left">&#x2191;: <italic>Bifidobacterium</italic>, <italic>Lactobacillus</italic>
<break/>&#x2193;: <italic>Escherichia coli</italic>, <italic>Enterococcus.</italic>
</td>
<td valign="middle" align="left">Improved CF;<break/>Improved patients&#x2019; ability to perform activities of daily living;<break/>Increased neurotransmitter level (Ach,DA,NE,5-HT).</td>
</tr>
<tr>
<td valign="middle" align="left">Xiao et&#xa0;al, 2024 (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">PSCI</td>
<td valign="middle" align="left">CR</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">PSCI + Warm acupuncture: 30; PSCI + Acupuncture:30</td>
<td valign="middle" align="center">34/26</td>
<td valign="middle" align="left">Warm acupuncture</td>
<td valign="middle" align="left">&#x2191;: <italic>Bifidobacterium</italic>, <italic>Lactic acid</italic> bacteria</td>
<td valign="middle" align="left">Increased the level of GABA;<break/>Promoted brain tissue repair;<break/>Improved CF.</td>
</tr>
<tr>
<td valign="middle" align="left">Jia et&#xa0;al, 2023 (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + Curcumin: 15; 2VO: 15;<break/>Sham: 15</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">Curcumin</td>
<td valign="middle" align="left">&#x2191;: <italic>Robinsoniella</italic>
</td>
<td valign="middle" align="left">Improved CF;<break/>Reduced the excessive expressions of iNOS and free radicals.</td>
</tr>
<tr>
<td valign="middle" align="left">Song et&#xa0;al, 2023 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + Baicalein-L: 10; 2VO + Baicalein-H: 10; 2VO: 10; Sham: 10</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">Baicalein</td>
<td valign="middle" align="left">&#x2193;: <italic>Lactobacillus</italic>, <italic>Clostridium</italic>
<break/>Modulated the diversity and composition of the intestinal microbiota;<break/>Suppressed the abundance of inflammation-associated microbiota.</td>
<td valign="middle" align="left">Improved CF;<break/>Improved chronic cerebral hypoperfusion induced inflammation in the hippocampus;<break/>Inhibited the activation of the TLR4/MyD88/NF-&#x3ba;B signaling pathway.</td>
</tr>
<tr>
<td valign="middle" align="left">Liu et&#xa0;al, 2022 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VCI</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + Tongnao Yizhi granules: 10; 2VO + Tongnao Yizhi granules + fecal bacteria: 10; 2VO + Donepezil: 10; 2VO + fecal bacteria: 10; 2VO: 10; Sham: 10</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">Tongnao Yizhi granules + fecal bacteria</td>
<td valign="middle" align="left">&#x2191;: <italic>Bacteroides</italic>, <italic>Actinomycetes</italic>, the ratio of <italic>Bacteroides</italic>/<italic>Firmicutes</italic>
<break/>&#x2193;: <italic>Firmicutes</italic>, <italic>Cyanobacteria</italic>
</td>
<td valign="middle" align="left">Improved the spatial learning and memory ability.</td>
</tr>
<tr>
<td valign="middle" align="left">Lu et&#xa0;al, 2023 (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + Wuzang Wenyang Huayu decoction: 13; 2VO + piracetam: 13; 2VO + Wuzang Wenyang Huayu decoction + piracetam: 13; 2VO: 13; Sham: 10; Control: 10</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">Wuzang Wenyang Huayu decoction</td>
<td valign="middle" align="left">27 different metabolites related to VaD.</td>
<td valign="middle" align="left">Improved the learning and memory ability;<break/>Increased the number of hippocampal cells;<break/>Regulated whole-brain cell autophagy.</td>
</tr>
<tr>
<td valign="middle" align="left">Yang et&#xa0;al, 2021 (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">CR</td>
<td valign="middle" align="left">Human</td>
<td valign="middle" align="left">VaD + Tiaoshen Yizhi acupuncture combined with Dingzhi Yicong decoction: 32; VaD: 32</td>
<td valign="middle" align="center">31/33</td>
<td valign="middle" align="left">Tiaoshen Yizhi acupuncture combined with Dingzhi Yicong decoction</td>
<td valign="middle" align="left">&#x2191;: <italic>Bifidobacterium</italic>, <italic>Lactobacillus</italic>, <italic>Peptococcus</italic>, <italic>Saccharomycetes</italic>, <italic>Bacteroides</italic>
<break/>&#x2193;: <italic>Enterococcus</italic>, <italic>Bacillus coli</italic>, <italic>Clostridium parvum</italic>
</td>
<td valign="middle" align="left">Improved the mental state, CF, social capability, daily life function.</td>
</tr>
<tr>
<td valign="middle" align="left">Duan et&#xa0;al, 2024 (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">VaD</td>
<td valign="middle" align="left">AR</td>
<td valign="middle" align="left">Rat</td>
<td valign="middle" align="left">2VO + Shibing Xingnao granule: 10; 2VO + Tongdu Tiaoshen acupuncture: 10; 2VO + Shibing Xingnao + Tongdu Tiaoshen: 10; 2VO: 10; Sham: 10</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="left">Shibing Xingnao granule combined with Tongdu Tiaoshen acupuncture</td>
<td valign="middle" align="left">Increased the relative abundance of probiotic bacteria in the intestine.</td>
<td valign="middle" align="left">Improved the CF;<break/>Reduced the expression of Caspase-3, Bax and Bcl-2 proteins in hippocampus.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>(&#x2191;) increased; (&#x2193;) decreased; Ach, acetyl choline; AR, Animal research; BNDF, brain-derived neurotrophic factor; CB, <italic>Clostridium butyricum</italic>; CF, cognitive function; CR, clinical research; DA, dopamine; EA, Electroacupuncture; GABA, &#x3b3;-aminobutyric acid; 5-HT, 5-hydroxytryptamine; iNOS, inducible nitric oxide synthase; LV, lentivirus; NC, negative control; NE, noradrenaline; PSCI, post stroke cognitive impairment; SIRT1, silent information regulator 1; TMAO, Trimethylamine N-Oxide; VCI, vascular cognitive impairment; VaD, vascular dementia; VO, carotid artery occlusion. NA, not applicable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Gut microbiota and its metabolites</title>
<p>
<italic>Prevotella histicola</italic>, an obligate anaerobic species within the <italic>Prevotella</italic> genus, demonstrated significant neuroprotective effects in a rat model of vascular dementia induced by bilateral common carotid artery ligation. Thirty 8-week-old rats receiving six-week oral administration of <italic>Prevotella histicola</italic> showed improved cognitive performance compared to the VaD model group, as evidenced by reduced escape latency and increased target quadrant duration in Morris water maze tests. Additionally, the treatment modulated multiple molecular markers, including upregulated synaptic proteins (MAP2, SYP, PSD-95) and downregulated pro-inflammatory cytokines (IL-1&#x3b2;, TNF-&#x3b1;, IL-6) (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>
<italic>Clostridium butyricum</italic>, a natural commensal organism in the gastrointestinal tracts of healthy humans and animals, has well-documented gastrointestinal benefits supported by extensive <italic>in vivo</italic> and <italic>in vitro</italic> studies (<xref ref-type="bibr" rid="B46">46</xref>). In a study using a murine vascular dementia model established by unilateral carotid artery occlusion, six-week administration of <italic>Clostridium butyricum</italic> induced multidimensional neuroprotective effects in 15 six-week-old mice compared to the VaD model group. Specifically, the treated mice exhibited enhanced spatial learning ability in behavioral tests alongside alleviated cognitive impairment. At the histological and molecular levels, the treatment improved hippocampal morphology and regulated apoptotic signaling pathways&#x2014;evidenced by increased BDNF and Bcl-2 expression, decreased Bax levels, and enhanced Akt phosphorylation&#x2014;thereby attenuating neuronal apoptosis. Furthermore, the therapy restored gut microbial homeostasis and normalized butyrate concentrations in both fecal samples and brain tissue brain tissue (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Furthermore, two independent studies investigated the role of trimethylamine N-oxide (TMAO), a gut microbiota-derived metabolite generated from dietary choline, betaine, and carnitine (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>). The first study demonstrated that compared to normal diet controls, three-week choline supplementation prior to stroke induction in mice significantly elevated plasma TMAO levels, exacerbating both cerebral infarct volume and cognitive impairment as evidenced by impaired performance in Y-maze and Barnes maze tests (<xref ref-type="bibr" rid="B23">23</xref>). In the second study, rats received TMAO administration beginning four weeks prior to VaD model induction and continuing for four weeks post-surgery, starting from the second postoperative day. Compared to the VaD model group, TMAO-treated animals exhibited more severe cognitive deficits as demonstrated by Morris water maze testing, along with aggravated oxidative stress markers, neuroinflammation (NLRP3 inflammasome activation), and neuronal apoptosis (<xref ref-type="bibr" rid="B27">27</xref>). Mechanistically, TMAO treatment activated the NLRP3 inflammasome while suppressing hippocampal expression of silent information regulator 1 (SIRT1).</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Exercise intervention</title>
<p>Aerobic exercise training has demonstrated efficacy in enhancing aerobic endurance, promoting vascular health, and improving quality of life, while simultaneously repairing neurovascular damage induced by ischemia and modulating synaptic plasticity (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). Emerging evidence further indicates that exercise exerts beneficial effects on gut microbiota metabolic function, augmenting microbial diversity and reinforcing the microbiota-gut-brain axis (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>In a VaD rat model induced by permanent bilateral common carotid artery occlusion, a four-week aerobic exercise intervention consisting of daily 20-minute non-loaded swimming sessions was implemented post-model establishment (<xref ref-type="bibr" rid="B43">43</xref>). Exercise intervention induced a substantial remodeling of gut microbial composition, characterized by a significant reduction in <italic>Ruminococcus</italic> abundance concomitant with increased <italic>Lactobacillus</italic> colonization. These microbial changes were paralleled by marked enhancements in cognitive function, as evidenced by improved learning and memory performance in behavioral assessments. Furthermore, the aerobic exercise effectively restored gut microbial diversity and induced significant modifications in inter-community microbiota structure, suggesting a comprehensive exercise-mediated modulation of the gut ecosystem in the vascular dementia model.</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Traditional Chinese medicine</title>
<p>Given the complex pathological mechanisms underlying VCI, conventional single-target therapeutic strategies often demonstrate limited clinical efficacy. In contrast, TCM employs a holistic, multi-target approach, positioning it as a potentially valuable intervention for VCI prevention and management (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Current TCM research on VCI primarily focuses on acupuncture and herbal therapies. This section systematically reviews 10 studies evaluating various TCM modalities, including acupuncture, moxibustion, herbal formulations, and combined acupuncture-herbal regimens.</p>
<p>(i)Acupuncture</p>
<p>Acupuncture, a well-established external therapy in TCM, demonstrates notable safety, reliability, and clinical efficacy. By stimulating specific acupoints, this intervention achieves therapeutic effects while exhibiting significantly fewer adverse reactions compared to conventional pharmaceutical treatments (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>Experimental studies utilizing a vascular dementia rat model demonstrated that electroacupuncture stimulation at key acupoints (Baihui [GV20], Dazhui [GV14], Shenshu [BL23], and Zusanli [ST36]) produced significant therapeutic effects (<xref ref-type="bibr" rid="B44">44</xref>). The treatment modulated gut microbiota composition by increasing <italic>Clostridiales&#x332;unclassified</italic> abundance while reducing <italic>Catabacter</italic>, <italic>Ruminococcus</italic>, and <italic>Desulfovibrio</italic> populations. Furthermore, electroacupuncture intervention decreased serum levels of pro-inflammatory cytokines IL-1&#x3b2; and IL-18, protected against intestinal mucosal and hippocampal neuronal damage, and ameliorated cognitive dysfunction in the animal model.</p>
<p>Clinical investigations involving PSCI patients across three studies consistently demonstrated the therapeutic benefits of acupuncture interventions (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). The first trial employed a combined approach of acupuncture (targeting Fengfu [DU16], Dazhui [GV14], Shendao [DU11], Baihui [GV20], and Shenting [DU24]) with cognitive training, resulting in enhanced cognitive scale performance, elevated serum neurotransmitter levels (acetylcholine, dopamine, norepinephrine, and 5-hydroxytryptamine), and favorable gut microbiota alterations characterized by increased <italic>Bifidobacterium</italic> and <italic>Lactobacillus</italic> populations alongside decreased <italic>Escherichia coli</italic> and <italic>Enterococcus</italic> abundance (<xref ref-type="bibr" rid="B34">34</xref>). A second study incorporating warm needle therapy at Zhongwan (RN12), Tianshu (ST25), Zusanli (ST36), and Shangjuxu (ST37) with cognitive rehabilitation showed increased <italic>Bifidobacteria</italic> and <italic>Lactobacilli</italic> counts, elevated plasma &#x3b3;-aminobutyric acid (GABA) concentrations, and associated cognitive improvements. A third study applied scalp acupuncture combined with body acupuncture to treat PSCI patients using the same acupoints: Zhongwan (RN12), Tianshu (ST25), Zusanli (ST36), and Shangjuxu (ST37). The results indicated that after treatment, the number of <italic>Bifidobacteria</italic> and <italic>Lactobacilli</italic> increased significantly, cognitive function improved, and the abundance of <italic>Escherichia coli</italic> decreased (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>(ii)Chinese herbs</p>
<p>Both curcumin, a bioactive phenolic compound from <italic>Curcuma longa</italic> (turmeric), and baicalein, a key flavonoid in <italic>Scutellaria baicalensis</italic> roots, demonstrate potent anti-inflammatory, antioxidant, and free radical-scavenging properties (<xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>). Experimental studies in vascular dementia models revealed distinct neuroprotective mechanisms: curcumin administration significantly increased <italic>Robinsoniella</italic> abundance while reducing inducible nitric oxide synthase (iNOS) expression and oxidative stress markers (free radicals and hydroxyl radicals), ultimately improving memory function (<xref ref-type="bibr" rid="B42">42</xref>); whereas baicalein treatment modulated gut microbiota by decreasing <italic>Lactobacillus</italic> and <italic>Clostridium</italic> populations, while concurrently attenuating neuroinflammation through reduced glial activation, suppressed proinflammatory cytokine release, and inhibition of the TLR4/MyD88/NF-&#x3ba;B pathway, accompanied by preserved CA1 hippocampal neuronal integrity and enhanced cognitive performance (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>(iii)Chinese herbal compound</p>
<p>Wuzang Wenyang Huayu decoction, composed of Ganjiang (<italic>Zingiberis rhizoma</italic>), Fuzi (<italic>Aconiti radix lateralis praeparata</italic>), Guizhi (<italic>Cinnamomi ramulus</italic>), Bajitian (<italic>Morindae officinalis radix</italic>), Yinyanghuo (<italic>Epimedii herba</italic>), Banxia (<italic>Pinelliae rhizoma</italic>), Sanqi (<italic>Notoginseng radix et rhizoma</italic>), Shichangpu (<italic>Acori tatarinowii rhizoma</italic>), and Dahuang (<italic>Rhei radix et rhizoma</italic>), was found to improve learning and memory abilities in rats with vascular dementia (<xref ref-type="bibr" rid="B30">30</xref>). Mechanistic studies revealed this formulation promoted hippocampal neurogenesis, suppressed Caspase-3-mediated apoptosis, and enhanced autophagic activity through upregulation of APG5L/ATG5, Beclin-1, and LC3A/B protein expression. Fecal metabolomic analysis identified 27 dementia-associated metabolites, with pathway enrichment analysis implicating vitamin B metabolism, purine metabolism, pyrimidine metabolism, and histidine metabolic pathways.</p>
<p>Tongnao Yizhi granules, composed of Dahuang (<italic>Rhei radix et rhizoma</italic>), Yujin (<italic>Curcumae radix</italic>), Huangqi (<italic>Astragali radix</italic>), Chuanxiong (<italic>Chuanxiong rhizoma</italic>), Shichangpu (<italic>Acori tatarinowii rhizoma</italic>), Gouqi (<italic>Lycii fructus</italic>), Shuizhi (<italic>Hirudo</italic>), Yizhiren (<italic>Alpiniae oxyphyllae fructus</italic>), and Xianhecao (<italic>Agrimoniae herba</italic>), were combined with fecal bacteria capsules prepared from the fresh feces of healthy rats (<xref ref-type="bibr" rid="B32">32</xref>). This treatment significantly altered gut microbial ecology, characterized by increased of <italic>Bacteroides</italic> abundance, elevated <italic>Bacteroides/Firmicutes</italic> ratio, and enriched <italic>Actinomycetes</italic> populations in VCI rats, while reducing the abundance of <italic>Firmicutes</italic> and <italic>Cyanobacteria</italic>. The intervention improved spatial learning and memory abilities in behavioral tests.</p>
<p>(iv)Combination of acupuncture and Chinese medicine</p>
<p>The Tongdu Tiaoshen acupuncture protocol involved acupoints such as Shenting (DU24), Baihui (GV20), Dazhui (DU14), Zhiyang (DU9), and Yaoyangguan (DU3). Shibing Xingnao granules, composed of Huangqi (<italic>Astragali radix</italic>), Shichangpu (<italic>Acori tatarinowii rhizoma</italic>), Yuanzhi (<italic>Polygalae radix</italic>), Chuanxiong (<italic>Chuanxiong rhizoma</italic>), and Bingpian (<italic>Borneolum Syntheticum</italic>), were combined with acupuncture in vascular dementia rats (<xref ref-type="bibr" rid="B38">38</xref>). This integrated treatment demonstrated behavioral improvements through reduced escape latency and enhanced cognitive function, while also exerting neuroprotective effects via increased Bcl-2 expression and decreased Caspase-3/Bax protein levels. Furthermore, the intervention modulated gut microbiota composition by promoting beneficial bacterial populations.</p>
<p>The Tiaoshen Yizhi acupuncture method targeted acupoints including Shenting (DU24), Sishencong (EX-HN1), Renzhong (DU26), Neiguan (PC6), Daling (PC7), Rangu (KI2), Xuehai (SP10), and Taichong (LR03). Dingzhi Yicong formula was composed of Dangshen (<italic>Codonopsis radix</italic>), Shichangpu (<italic>Acori tatarinowii rhizoma</italic>), Yuanzhi (<italic>Polygalae radix</italic>), Yizhiren (<italic>Alpiniae oxyphyllae fructus</italic>), Danggui (<italic>Angelicae sinensis radix</italic>), Shudihuang (<italic>Rehmanniae radix</italic>), Chishao (<italic>Paeoniae radix rubra</italic>), Fuling (<italic>Poria</italic>), Gouqi (<italic>Lycii fructus</italic>), Chuanxiong (<italic>Chuanxiong rhizoma</italic>), Taoren (<italic>Persicae semen</italic>), and Honghua (<italic>Carthami flos</italic>). These two methods were combined to treat vascular dementia patients (<xref ref-type="bibr" rid="B37">37</xref>). The combined therapy improved cognitive performance and restored gut microbial balance, as evidenced by increased abundance of B<italic>Bifidobacterium</italic>, <italic>Lactobacillus</italic>, <italic>Peptococcus</italic>, <italic>Saccharomycetes</italic>, and <italic>Bacteroides</italic>, alongside decreased levels of <italic>Enterococcus</italic>, <italic>Escherichia coli</italic>, and <italic>Clostridium parvum</italic>.</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This systematic review provides the first comprehensive synthesis of the microbiota-gut-brain axis in VCI, encompassing both pathophysiological mechanisms and therapeutic interventions. Our analysis of 22 studies reveal several key findings that advance our understanding of VCI pathogenesis and highlight promising treatment approaches targeting gut-brain interactions.</p>
<p>The observed gut microbiota dysbiosis across VCI subtypes provides robust evidence for the involvement of the microbiota-gut-brain axis in disease pathogenesis. The identification of specific microbial signatures, particularly the increased abundance of <italic>Enterobacteriaceae</italic> in PSCI, suggests its potential as diagnostic biomarkers. Furthermore, the negative correlations observed between certain bacterial taxa (e.g., <italic>Anaerostipes hadrus</italic> and <italic>Ruminococcus gnavus</italic>) and cognitive performance underscore the functional significance of these microbial alterations.</p>
<p>The reviewed studies primarily focus on three principal intervention strategies targeting the gut-brain axis in VCI management. First, direct modulation of gut microbiota through probiotic administration or fecal microbiota transplantation has demonstrated significant neuroprotective effects, including cognitive improvement, neuroinflammation reduction, and synaptic plasticity enhancement. Second, aerobic exercise has emerged as an effective modulator of gut-brain interactions, demonstrating the capacity to restore microbial diversity, mitigate pro-inflammatory cytokines, and enhance cognitive outcomes. Third, TCM approaches, incorporating both acupuncture and herbal formulations, exhibit multi-target effects on gut microbiota composition, inflammatory markers, and neuronal protection, reflecting the potential advantages of holistic interventions for addressing VCI&#x2019;s complex pathophysiology. The consistent observations of improved gut barrier function and reduced inflammation across various intervention modalities further substantiate the critical role of gut-brain communication in VCI.</p>
<p>The current evidence also reveals important gaps and limitations in the field. Although differential gut microbiota and their metabolites have been preliminarily identified, the research remains exploratory and requires large-scale validation. More importantly, the precise mechanistic relationships between specific microbial alterations and VCI pathogenesis need further elucidation, as only by clarifying these specific mechanisms can more targeted therapeutic strategies be developed. Furthermore, existing studies exhibit significant heterogeneity in study design, including variations in cognitive impairment severity and methodological differences in microbial analysis, which complicate direct comparisons across studies.</p>
<p>In future studies, first, it is essential to implement a well-designed study framework and adopt standardized inclusion and exclusion criteria as much as possible to facilitate the integration and analysis of results across different studies. For studies with relatively small sample sizes, strict matching of variables such as age, gender, and underlying diseases is essential to minimize the influence of confounding factors. Alternatively, consideration should be given to conducting large-scale prospective cohort studies similar to the &#x201c;Determinants of Incident Stroke Cognitive Outcomes and Vascular Effects on RecoverY (DISCOVERY) study&#x201d; (<xref ref-type="bibr" rid="B59">59</xref>). Currently, a multicenter cohort study evaluating the predictive value of gut microbiota and serum biomarkers for cognitive impairment and poor prognosis after ischemic stroke is underway (NCT:04688138, ClinicalTrials.gov). Second, all differential gut microbiota identified must undergo external validation before clinical applications, which will help objectively identify VCI and simplify diagnostic procedures. Third, more in-depth mechanistic research on the discovered differential gut microbiota is necessary to lay the foundation for developing effective VCI treatment strategies. Fourth, therapeutic interventions such as aerobic exercise, microbiota transplantation, and TCM still need to be further evaluated in standardized, well-designed clinical trials. Probiotics also represent a treatment approach targeting, with an ongoing clinical trial evaluating the efficacy of Bifidobacterium lactis Probio-M8 for post-stroke cognitive impairment (ChiCTR2400079870, Chinese Clinical Trial Registry). Fifth, to ensure data quality, strict standard operating procedures must be established for sample collection, preservation, processing, and testing (<xref ref-type="bibr" rid="B60">60</xref>). The standardization of these procedures is crucial for maintaining consistency and accuracy across studies. Additionally, future research should incorporate neuroimaging assessments. As an indispensable tool in VCI research, neuroimaging not only reveals pathophysiological mechanisms but also evaluates intervention effects, demonstrating increasingly prominent value in both clinical and research applications (<xref ref-type="bibr" rid="B61">61</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This systematic review establishes the microbiota-gut-brain axis as a critical framework for understanding VCI pathogenesis and developing novel treatment strategies. Although characteristic alterations in gut microbiota composition and abundance have been consistently documented in VCI patients, these findings require further validation. Furthermore, the mechanistic interplay between gut microbial dysbiosis, microbial-derived metabolites, and VCI pathobiology remains to be fully delineated, representing a crucial knowledge gap that demands systematic investigation through integrated multi-omics approaches and longitudinal study designs.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XQX: Writing &#x2013; review &amp; editing, Project administration, Data curation, Conceptualization, Supervision. TL: Resources, Investigation, Writing &#x2013; original draft, Software, Funding acquisition, Visualization, Validation, Formal Analysis, Conceptualization, Data curation, Methodology, Project administration, Supervision. YL: Supervision, Visualization, Project administration, Data curation, Writing &#x2013; original draft, Investigation, Validation, Methodology. XJX: Validation, Methodology, Data curation, Writing &#x2013; original draft, Software, Investigation. XL: Supervision, Investigation, Conceptualization, Writing &#x2013; review &amp; editing, Project administration, Resources.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;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>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2025.1648800/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1648800/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>BDNF, brain-derived neurotrophic factor; CNKI, China National Knowledge Infrastructure; GABA, &#x3b3;-aminobutyric acid; HPA, hypothalamus-pituitary-adrenal; iNOS, inducible nitric oxide synthase; MoCA, montreal cognitive assessment; PSCI, post-stroke cognitive impairment; PSNCI, post-stroke non-cognitive impairment; SIRT1, silent information regulator 1; TCM, traditional Chinese medicine; TMAO, trimethylamine N-oxide; VaD, vascular dementia; VCI, vascular cognitive impairment; VIP, Chinese Science and Technology Periodical Database.</p>
</fn>
</fn-group>
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