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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2024.1404995</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The role of the &#x201C;gut microbiota-mitochondria&#x201D; crosstalk in the pathogenesis of multiple sclerosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Tian</surname> <given-names>Huan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Huang</surname> <given-names>Dunbing</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Wang</surname> <given-names>Jiaqi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Huaqiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Jiaxin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Zhong</surname> <given-names>Yue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Xia</surname> <given-names>Libin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname> <given-names>Anren</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c003"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Lin</surname> <given-names>Zhonghua</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>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Ke</surname> <given-names>Xiaohua</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Rehabilitation Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Shengli Clinical Medical College of Fujian Medical University</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Rehabilitation Medicine Center, Fujian Provincial Hospital</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Fujian Provincial Center for Geriatrics, Fujian Provincia Hospital</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Ranjith Kumavath, Pondicherry University, India</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Oscar Kurt Bitzer Quintero, Centro de Investigaci&#x00F3;n Biom&#x00E9;dica de Occidente (CIBO), Mexico</p>
<p>Roberto Maria Antonio Di Marco, University of Molise, Italy</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Xiaohua Ke, <email>kxh22@tongji.edu.cn</email></corresp>
<corresp id="c002">Zhonghua Lin, <email>doctor_lzh71@163.com</email></corresp>
<corresp id="c003">Anren Zhang, <email>anren0124@tongji.edu.cn</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1404995</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Tian, Huang, Wang, Li, Gao, Zhong, Xia, Zhang, Lin and Ke.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Tian, Huang, Wang, Li, Gao, Zhong, Xia, Zhang, Lin and Ke</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Multiple Sclerosis (MS) is a neurologic autoimmune disease whose exact pathophysiologic mechanisms remain to be elucidated. Recent studies have shown that the onset and progression of MS are associated with dysbiosis of the gut microbiota. Similarly, a large body of evidence suggests that mitochondrial dysfunction may also have a significant impact on the development of MS. Endosymbiotic theory has found that human mitochondria are microbial in origin and share similar biological characteristics with the gut microbiota. Therefore, gut microbiota and mitochondrial function crosstalk are relevant in the development of MS. However, the relationship between gut microbiota and mitochondrial function in the development of MS is not fully understood. Therefore, by synthesizing previous relevant literature, this paper focuses on the changes in gut microbiota and metabolite composition in the development of MS and the possible mechanisms of the crosstalk between gut microbiota and mitochondrial function in the progression of MS, to provide new therapeutic approaches for the prevention or reduction of MS based on this crosstalk.</p>
</abstract>
<kwd-group>
<kwd>multiple sclerosis</kwd>
<kwd>gut microbiota</kwd>
<kwd>metabolites</kwd>
<kwd>mitochondria</kwd>
<kwd>prebiotics</kwd>
</kwd-group>
<contract-sponsor id="cn1">Tongji University<named-content content-type="fundref-id">10.13039/501100004204</named-content></contract-sponsor>
<contract-sponsor id="cn2">Natural Science Foundation of Fujian Province<named-content content-type="fundref-id">10.13039/501100003392</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="139"/>
<page-count count="15"/>
<word-count count="12146"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbial Physiology and Metabolism</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Multiple Sclerosis (MS) is a chronic inflammatory and demyelinating autoimmune disease of the central nervous system (CNS; <xref ref-type="bibr" rid="ref44">Filippi et al., 2018</xref>), which can result in permanent disability, cognitive impairment, and a significant detrimental impact on a patient&#x2019;s health-related quality of life (<xref ref-type="bibr" rid="ref11">Biernacki et al., 2022</xref>). The incidence of MS has continued to increase dramatically in recent years, affecting approximately 3 million patients worldwide (<xref ref-type="bibr" rid="ref41">Engelenburg et al., 2022</xref>), and it is the most common non-traumatic neurological disorder among young people (<xref ref-type="bibr" rid="ref87">McGinley et al., 2021</xref>). Multiple sclerosis disease-modifying therapies (DMT) for the treatment of MS have superior efficacy compared to placebo or active comparators, reducing the annual MS relapse rate by 29&#x2013;68% (<xref ref-type="bibr" rid="ref87">McGinley et al., 2021</xref>; <xref ref-type="bibr" rid="ref26">Charabati et al., 2023</xref>), however, DMT has a limited ability to halt disease progression or repair neurological damage. Therefore, there is an urgent need to fully elucidate its pathogenesis and explore new potential therapeutic targets for new MS patients.</p>
<p>As we know, the gut is the largest micro-ecosystem in the human body, containing a total of about 10 to the 14th power microorganisms that support various physiological functions in the body (<xref ref-type="bibr" rid="ref128">Wang et al., 2022</xref>). Relevant evidence suggests that dysbiosis of gut microbiota is closely related to the pathogenesis of MS (<xref ref-type="bibr" rid="ref84">Maglione et al., 2021</xref>; <xref ref-type="bibr" rid="ref30">Christovich and Luo, 2022</xref>) and that gut microbiota can influence the progression of MS through cell-mediated immunomodulatory pathways such as macrophages, Bregs, and Tregs (<xref ref-type="bibr" rid="ref58">Hoffman et al., 2023</xref>). In addition, the existence of bidirectional gut-brain-axis (MGB) interactions between the gut and the central nervous system plays an important role in MS disease progression (<xref ref-type="bibr" rid="ref51">Ghezzi et al., 2021</xref>). Although some beneficial or harmful gut microbiota are involved in the pathologic progression of MS, it is still difficult to reveal their contribution to MS pathogenesis.</p>
<p>Mitochondria are highly complex organelles with roles such as synthesizing Adenosine triphosphate (ATP), participating in the metabolism of key compounds, and generating reactive oxygen species (ROS; <xref ref-type="bibr" rid="ref12">Blagov et al., 2022</xref>; <xref ref-type="bibr" rid="ref136">Zhang et al., 2022</xref>).In recent years, a great deal of research has been conducted on the possible mechanisms by which mitochondrial dysfunction contributes to the onset or progression of MS (<xref ref-type="bibr" rid="ref17">Buonvicino et al., 2023a</xref>,<xref ref-type="bibr" rid="ref18">b</xref>; <xref ref-type="bibr" rid="ref127">Wang et al., 2024</xref>). Greeck et al. showed that mutations in mitochondrial DNA and reduced activity of the electron transport chain (ETC) lead to degeneration of white and gray matter, exacerbating neurodegeneration and clinical disease progression in all stages of MS (<xref ref-type="bibr" rid="ref54">Greeck et al., 2023</xref>). In contrast, in others, it was found that enhancing mitochondrial activity in neurons through activation of peroxisome proliferator-activated receptor &#x03B3; coactivator 1-alpha alpha (PGC-1alpha) prevented neurodegeneration in a mouse model of multiple sclerosis (<xref ref-type="bibr" rid="ref110">Rosenkranz et al., 2021</xref>). However, the specific mechanisms by which mitochondrial dysfunction affects MS disease are not fully known.</p>
<p>The close interaction between gut microbiota and mitochondria has been comprehensively characterized in a wide range of diseases (<xref ref-type="bibr" rid="ref59">Huang et al., 2022</xref>; <xref ref-type="bibr" rid="ref103">Peng et al., 2022</xref>; <xref ref-type="bibr" rid="ref136">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="ref65">Ju&#x00E1;rez-Fern&#x00E1;ndez et al., 2023</xref>). Metabolite products of gut microbiota play a crucial role in mitochondrial reactive oxygen species, kinetics, and autophagy. However, the specific mechanisms by which crosstalk between gut microbiota and mitochondria influences MS progression are unknown. Therefore, this paper aims to explore the possible mechanisms of gut microbiota and mitochondrial crosstalk in MS progression by analyzing the existing literature and suggesting potential therapeutic strategies that may treat MS.</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>A link between MS and gut microbiota</title>
<sec id="sec3">
<label>2.1</label>
<title>Alteration of gut microbiome in MS individuals</title>
<p>Many studies have discussed the altered gut microbiota regarding abundance and structural composition, and sequencing-based analyses have revealed a different composition of the gut microbiota in MS patients (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of intestinal flora in MS patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Study ID</th>
<th align="left" valign="top">Participants</th>
<th align="left" valign="top">Intestinal flora diversity</th>
<th align="left" valign="top">Upregulated microbiota</th>
<th align="left" valign="top">Downregulated microbiota</th>
<th align="left" valign="top">Sequencing method</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref20">Cantarel et al. (2015)</xref>
</td>
<td align="left" valign="top">Patient:15<break/>Healthy Patient:8</td>
<td align="left" valign="top">&#x2013;</td>
<td align="left" valign="top"><italic>Bacteroidaceae</italic>, <italic>Faecalibacterium</italic></td>
<td align="left" valign="top">
<italic>Ruminococcus</italic>
</td>
<td align="left" valign="top">16S rRNA</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref90">Miyake et al. (2015)</xref>
</td>
<td align="left" valign="top">Patient:20<break/>Healthy Patient:40</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Anaerostipes</italic> sp., <italic>Faecalibacterium</italic>, <italic>Bacteroides</italic>, <italic>Prevotella</italic></td>
<td align="left" valign="top"><italic>Bifidobacterium</italic>, <italic>Streptococcus</italic></td>
<td align="left" valign="top">16S rRNA (V1-V2 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref27">Chen et al. (2016)</xref>
</td>
<td align="left" valign="top">Patient:31<break/>Healthy Patient:36</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Adlercreutzia</italic>, <italic>Prevotella</italic>, <italic>Parabacteroides</italic></td>
<td align="left" valign="top"><italic>Psuedomonas</italic>, <italic>Mycoplana</italic>, <italic>Haemophilus</italic>, <italic>Blautia</italic>, <italic>Dorea</italic></td>
<td align="left" valign="top">16S rRNA (V3-V5 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref63">Jangi et al. (2016)</xref>
</td>
<td align="left" valign="top">Patient:60<break/>Healthy Patient:43</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top">
<italic>Butyricimonas</italic>
</td>
<td align="left" valign="top"><italic>Akkermansia</italic>, <italic>Methanobrevibacter</italic></td>
<td align="left" valign="top">16S rRNA (V3-V5 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref119">Tremlett et al. (2016)</xref>
</td>
<td align="left" valign="top">Patient:18<break/>Healthy Patient:17</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Lachnospiraceae</italic>, <italic>Ruminococcaceae</italic></td>
<td align="left" valign="top"><italic>Bifidobacterium</italic>, <italic>Desulfovibrionales</italic>, <italic>Christensenellaceae</italic></td>
<td align="left" valign="top">16S rRNA (V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref25">Cekanaviciute et al. (2017)</xref>
</td>
<td align="left" valign="top">Patient:71<break/>Healthy Patient:71</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top">
<italic>Parabacteroides</italic>
</td>
<td align="left" valign="top"><italic>Acinetobacter</italic>, <italic>Akkermansia</italic></td>
<td align="left" valign="top">16S rRNA (V3-V5 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref33">Cosorich et al. (2017)</xref>
</td>
<td align="left" valign="top">Patient:19<break/>Healthy Patient:17</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top">
<italic>Prevotella</italic>
</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref46">Forbes et al. (2018)</xref>
</td>
<td align="left" valign="top">Patient:19<break/>Healthy Patient:23</td>
<td align="left" valign="top">&#x03B1; diversity index was statistically significant</td>
<td align="left" valign="top"><italic>Lachnospiraceae</italic>, <italic>Gemmiger</italic> sp.<italic>, Sporobacter</italic></td>
<td align="left" valign="top"><italic>Actinomyces</italic>, <italic>Clostridium III</italic>, <italic>Eggerthella</italic>, <italic>Faecalicoccus</italic>, <italic>Streptococcus</italic></td>
<td align="left" valign="top">16S rRNA (V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref69">Kozhieva et al. (2019)</xref>
</td>
<td align="left" valign="top">Patient:15<break/>Healthy Patient:15</td>
<td align="left" valign="top">&#x03B1; diversity index was statistically significant</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top"><italic>Actinomycetales</italic>, <italic>Desulfovibrionales</italic>, <italic>Ruminococcaceae</italic>, <italic>Verrucomicrobiales</italic>, <italic>Gemmiger sp</italic></td>
<td align="left" valign="top">16S rRNA (V3-V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref97">Oezguen et al. (2019)</xref>
</td>
<td align="left" valign="top">Patient:13<break/>Healthy Patient:14</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top">
<italic>Succinivibrio</italic>
</td>
<td align="left" valign="top"><italic>Butyricicoccus</italic>, <italic>Clostridium III</italic>, <italic>Coprococcus</italic>, <italic>Escherichia</italic>/<italic>Shigella</italic>, <italic>Ruminococcus</italic>, <italic>Dorea</italic>, <italic>Parabacteroides</italic>, <italic>unclassified Coriobacteriaceae</italic></td>
<td align="left" valign="top">16S rRNA (V3-V5 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref114">Storm-Larsen et al. (2019)</xref>
</td>
<td align="left" valign="top">Patient:36<break/>Healthy Patient:165</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top">
<italic>Faecalibacterium</italic>
</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">16S rRNA (V3-V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref126">Ventura et al. (2019)</xref>
</td>
<td align="left" valign="top">Patient:45<break/>Healthy Patient:44</td>
<td align="left" valign="top">&#x03B1; Diversity index was not statistically significant</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">
<italic>Akkermansia</italic>
</td>
<td align="left" valign="top">16S rRNA (V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref134">Zeng et al. (2019)</xref>
</td>
<td align="left" valign="top">Patient:34<break/>Healthy Patient:34</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top">
<italic>Prevotella</italic>
</td>
<td align="left" valign="top">
<italic>Streptococcus</italic>
</td>
<td align="left" valign="top">16S rRNA (V3-V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref79">Ling et al. (2020)</xref>
</td>
<td align="left" valign="top">Patient:22<break/>Healthy Patient:33</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Bilophila</italic>, <italic>Butyricicoccus</italic>, <italic>Clostridium III</italic>, <italic>Faecalibacterium</italic>, <italic>Haemophilus</italic>, <italic>Dorea</italic>, <italic>Roseburia</italic>, <italic>Gemella</italic>, <italic>Granulicatella</italic></td>
<td align="left" valign="top"><italic>Flavonifractor</italic>, <italic>Blautia</italic></td>
<td align="left" valign="top">16S rRNA (V3-V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref29">Choile&#x00E1;in et al. (2020)</xref>
</td>
<td align="left" valign="top">Patient:26<break/>Healthy Patient:39</td>
<td align="left" valign="top">The Shannon index was significantly reduced in MS patients</td>
<td align="left" valign="top"><italic>Clostridium III</italic>, <italic>Coprococcus</italic>, <italic>Paraprevotella</italic>, <italic>Methanobrevibacter</italic></td>
<td align="left" valign="top">
<italic>Ruminococcaceae</italic>
</td>
<td align="left" valign="top">16S rRNA (V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref109">Reynders et al. (2020)</xref>
</td>
<td align="left" valign="top">Patient:98<break/>Healthy Patient:120</td>
<td align="left" valign="top">&#x03B1; diversity index decreased</td>
<td align="left" valign="top">
<italic>Butyricicoccus</italic>
</td>
<td align="left" valign="top"><italic>Akkermansia</italic>, <italic>Clostridium III</italic>, <italic>Parabacteroides</italic>, <italic>Gemmiger</italic> sp.<italic>, Sporobacter</italic></td>
<td align="left" valign="top">16S rRNA (V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref112">Saresella et al. (2020)</xref>
</td>
<td align="left" valign="top">Patient:38<break/>Healthy Patient:38</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Coprococcus</italic>, <italic>Blautia</italic>, <italic>Parabacteroides</italic>, <italic>Roseburia</italic></td>
<td align="left" valign="top"><italic>Collinsella</italic>, <italic>Eubacterium</italic></td>
<td align="left" valign="top">16S rRNA (V3-V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref23">Castillo-&#x00C1;lvarez et al. (2021)</xref>
</td>
<td align="left" valign="top">Patient:15<break/>Healthy Patient:14</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Eubacterium</italic>, <italic>Prevotella</italic>, <italic>Uncultured Bacteroides</italic>, <italic>Uncultured alpha Proteobacterium</italic>, <italic>Uncultured Pseudomonas sp</italic></td>
<td align="left" valign="top"><italic>Alistipes onderdonkii</italic>, <italic>Anaerostipes</italic> sp. <italic>Clostridium III</italic>, <italic>Coriobacterium</italic> sp., <italic>Faecalibacterium</italic>, <italic>Ruminococcus</italic>, <italic>Bifidobacterium</italic>, <italic>Uncultured Oscillospiraceae bacterium</italic>, <italic>Uncultured Blautia</italic> sp.<italic>, Uncultured Sinorhizobium</italic> sp., <italic>Uncultured Dialister sp</italic></td>
<td align="left" valign="top">16S rRNA (V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref49">Galluzzo et al. (2021)</xref>
</td>
<td align="left" valign="top">Patient:15<break/>Healthy Patient:15</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Bacteroidaceae</italic>, <italic>Lachnospiraceae</italic>, <italic>Tannerellaceae</italic>, <italic>Rikenellaceae</italic></td>
<td align="left" valign="top"><italic>Akkermansiaceae</italic>, <italic>Clostridiales</italic>, <italic>Desulfovibrionaceae</italic>, <italic>Family XIII</italic>, <italic>Christensenellaceae</italic>, <italic>Ruminococcaceae</italic></td>
<td align="left" valign="top">16S rRNA (V3-V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref115">Takewaki et al. (2020)</xref>
</td>
<td align="left" valign="top">Patient:118<break/>Healthy Patient:55</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Alistipes onderdonkii</italic>, <italic>Megamonas</italic>, <italic>Roseburia</italic></td>
<td align="left" valign="top"><italic>Bifidobacterium</italic>, <italic>Streptococcus</italic></td>
<td align="left" valign="top">16S rRNA (V1-V2 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref34">Cox et al. (2021)</xref>
</td>
<td align="left" valign="top">Patient:243<break/>Healthy Patient:40</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Anaerococcus</italic>, <italic>Blautia</italic>, <italic>Dorea</italic></td>
<td align="left" valign="top"><italic>Akkermansia</italic>, <italic>Clostridaceae</italic>, <italic>Clostridium III</italic>, <italic>Enterobacteriaceae</italic>, <italic>Ruminococcaceae</italic></td>
<td align="left" valign="top">16S rRNA (V4 region)</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref21">Cantoni et al. (2022)</xref>
</td>
<td align="left" valign="top">Patient:24<break/>Healthy Patient:25</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Anaerostipes</italic> sp., <italic>Faecalibacterium</italic>, <italic>Prevotella</italic>, <italic>Lachnospiraceae</italic></td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">16S rRNA (V1-V3 region), Metagenomic whole-genome shotgun approach</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref88">Mekky et al. (2022)</xref>
</td>
<td align="left" valign="top">Patient:30<break/>Healthy Patient:20</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">
<italic>Prevotella</italic>
</td>
<td align="left" valign="top"><bold>
<italic>B. fragilis</italic>
</bold>, <italic>C. perfringes</italic></td>
<td align="left" valign="top">16S rRNA</td>
</tr>
<tr>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref124">Vacaras et al. (2023)</xref>
</td>
<td align="left" valign="top">Patient:50<break/>Healthy Patient:21</td>
<td align="left" valign="top">&#x03B1; diversity index was not statistically significant</td>
<td align="left" valign="top"><italic>Faecalibacterium</italic>, <italic>Prevotella</italic>, <italic>Bifidobacterium</italic></td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">16S rRNA (V3-V4 region)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>This paper summarizes 24 studies on MS involving a total of 1,075 MS patients and 947 healthy controls (HC; <xref ref-type="bibr" rid="ref20">Cantarel et al., 2015</xref>; <xref ref-type="bibr" rid="ref90">Miyake et al., 2015</xref>; <xref ref-type="bibr" rid="ref27">Chen et al., 2016</xref>; <xref ref-type="bibr" rid="ref63">Jangi et al., 2016</xref>; <xref ref-type="bibr" rid="ref119">Tremlett et al., 2016</xref>; <xref ref-type="bibr" rid="ref25">Cekanaviciute et al., 2017</xref>; <xref ref-type="bibr" rid="ref33">Cosorich et al., 2017</xref>; <xref ref-type="bibr" rid="ref46">Forbes et al., 2018</xref>; <xref ref-type="bibr" rid="ref69">Kozhieva et al., 2019</xref>; <xref ref-type="bibr" rid="ref97">Oezguen et al., 2019</xref>; <xref ref-type="bibr" rid="ref114">Storm-Larsen et al., 2019</xref>; <xref ref-type="bibr" rid="ref126">Ventura et al., 2019</xref>; <xref ref-type="bibr" rid="ref134">Zeng et al., 2019</xref>; <xref ref-type="bibr" rid="ref29">Choile&#x00E1;in et al., 2020</xref>; <xref ref-type="bibr" rid="ref79">Ling et al., 2020</xref>; <xref ref-type="bibr" rid="ref109">Reynders et al., 2020</xref>; <xref ref-type="bibr" rid="ref112">Saresella et al., 2020</xref>; <xref ref-type="bibr" rid="ref115">Takewaki et al., 2020</xref>; <xref ref-type="bibr" rid="ref23">Castillo-&#x00C1;lvarez et al., 2021</xref>; <xref ref-type="bibr" rid="ref34">Cox et al., 2021</xref>; <xref ref-type="bibr" rid="ref49">Galluzzo et al., 2021</xref>; <xref ref-type="bibr" rid="ref21">Cantoni et al., 2022</xref>; <xref ref-type="bibr" rid="ref88">Mekky et al., 2022</xref>; <xref ref-type="bibr" rid="ref124">Vacaras et al., 2023</xref>). Although the differences in gut microbiota properties between the MS and HC groups were not found to be statistically significant in animal and human studies on MS. However, the relative abundance of <italic>Akkermansia</italic>, <italic>Christensenellaceae</italic>, <italic>Desulfovibrionales</italic>, <italic>Ruminococcus</italic>, and <italic>Streptococcus</italic> in the MS group was significantly higher than in (HC) group. One study found that <italic>Akkermansia</italic> isolated from MS patients reduced ROR&#x03B3;t<sup>+</sup> and IL-17 &#x03B3;&#x03B4;T cells to improve experimental autoimmune encephalomyelitis (EAE; <xref ref-type="bibr" rid="ref34">Cox et al., 2021</xref>) Conversely, <italic>Akkermansia muciniphila</italic> may contribute to exacerbation of chronic inflammation and exacerbation of MS symptoms either directly by shifting the immune response to the Th1 phenotype or indirectly by interacting with other bacteria and reducing the ability to differentiate against Treg (<xref ref-type="bibr" rid="ref24">Cekanaviciute et al., 2018</xref>). <italic>Christensenellaceae</italic> is influenced by the genetic composition of the host in the gut microbiome (<xref ref-type="bibr" rid="ref52">Goodrich et al., 2014</xref>) and is a potential indicator of the risk of mortality in neurocritical care patients (<xref ref-type="bibr" rid="ref130">Xu et al., 2019</xref>). <italic>Ruminococcus</italic> is a genus that produces abundant propionic and butyric acids and can participate in the digestion of food and the reduction of inflammatory factors with the maintenance of intestinal barrier function (<xref ref-type="bibr" rid="ref35">Crost et al., 2023</xref>). Both <italic>Clostridium butyricum</italic> and norfloxacin treatment reduced the abundance of <italic>Desulfovibrionales</italic> and <italic>Ruminococcus</italic>, which inhibited the Th17 cell response promoted Treg differentiation, and attenuated the severity of EAE in mice through mitogen-activated kinase (MAPK) signaling (<xref ref-type="bibr" rid="ref28">Chen et al., 2019</xref>). <italic>Streptococcus</italic> abundance has been shown to positively correlate with the proportion of Th17 cells and negatively correlate with Tregs and is therefore hypothesized to be a potential key factor in the development and/or relapse of MS disease (<xref ref-type="bibr" rid="ref134">Zeng et al., 2019</xref>).</p>
<p>In contrast, the relative abundance of <italic>Bacteroidaceae</italic>, <italic>Lachnospiraceae</italic>, <italic>Prevotella,</italic> and <italic>Roseburia</italic> was significantly lower in the MS group than in the HC group. Studies on the diet of EAE mice found that intermittent fasting (IF) increased intestinal <italic>Bacteroidaceae</italic> abundance, decreased IL-17 cell production, increased Tregs differentiation, and ameliorated the clinical course and pathology of EAE (<xref ref-type="bibr" rid="ref31">Cignarella et al., 2018</xref>). <italic>Lachnospiraceae</italic> were shown to impair oligodendrocyte differentiation in cultured cells and were associated with impaired myelin formation in mice (<xref ref-type="bibr" rid="ref67">Katz Sand et al., 2019</xref>). Iljazovic et al. found that <italic>Prevotella</italic> colonization led to changes in the metabolism of the gut microbiota, which reduced the production of IL-18, thereby exacerbating intestinal inflammation and leading to systemic autoimmunity (<xref ref-type="bibr" rid="ref61">Iljazovic et al., 2021</xref>). In a mouse model, <italic>Prevotella histicola</italic> reduces pro-inflammatory Th1 and Th17 cells in the CNS by inducing the number of CD4<sup>+</sup>FoxP3<sup>+</sup> regulatory T-cells thereby reducing the severity of EAE (<xref ref-type="bibr" rid="ref113">Shahi et al., 2019</xref>). <italic>Roseburia</italic> spp. plays an important role in the regulation of barrier homeostasis, immune cells, and cytokine release through its metabolite, butyrate. Thus, <italic>Roseburia</italic> also plays an important role in alleviating inflammation in autoimmune diseases (<xref ref-type="bibr" rid="ref95">Nie et al., 2021</xref>).</p>
<p>The controversy over the abundance of <italic>Blautia</italic>, <italic>Dorea</italic>, <italic>Faecalibacterium, Methanobrevibacter, Parabacteroides</italic>, and <italic>Ruminococcaceae</italic> in MS and HC groups is consistent with the findings of a systematic review and review, probably due to significant differences in disease severity and duration, as well as differences in changes in gut microbiota (<xref ref-type="bibr" rid="ref99">Ordo&#x00F1;ez-Rodriguez et al., 2023</xref>).</p>
<p>Based on these results, it is suggested that interventions or changes in gut microbiota can alter susceptibility to inflammatory demyelination in MS in humans or animals and that gut microbiota can be an important hub for regulating and synchronizing many of the changes associated with the pathophysiology of MS.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Potential mechanisms of gut microbiota metabolites in MS</title>
<p>Bidirectional interactions involving endocrine, neuroimmune, and chemical interactions between the gut microbiota and the central nervous system form the MGB (<xref ref-type="bibr" rid="ref122">Ullah et al., 2023</xref>). Gut microbiota metabolites are involved in the maintenance of homeostasis in the body and influence the development of MS through the MGB (<xref ref-type="table" rid="tab2">Table 2</xref>), and the following description highlights the most important metabolites of the gut microbiota that have recently been involved in the progression of MS.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>A summary of current studies about the impact of gut microbial metabolites in MS <italic>in vivo</italic> and <italic>in vitro</italic>.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Metabolites</th>
<th align="left" valign="top">Human/animal/cell type species</th>
<th align="left" valign="top">Conclusions</th>
<th align="left" valign="top">Reference and year</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">bile</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">a decrease in the abundance of microbes involved in fatty acid metabolism (bile metabolism)</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref27">Chen et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Trp</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">The QA/KA ratio was higher in MS groups compared to controls</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref77">Lim et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Trp</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">each 1 mcg/mL increase in serum Trp level was associated with a 20 and 32% decrease in adjusted odds of having MS.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref96">Nourbakhsh et al. (2018)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (acetate, propionate, and butyrate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">A depletion of acetate, propionate, and butyrate was observed in MS. SCFA level was positively correlated with pTreg frequency.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref134">Zeng et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (butyrate)</td>
<td align="left" valign="top">C57BL/6&#x2009;J (B6) mice</td>
<td align="left" valign="top">butyrate treatment suppressed demyelination and enhanced remyelination</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref28">Chen et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">butyricum</td>
<td align="left" valign="top">C57BL/6&#x2009;J WT mice</td>
<td align="left" valign="top"><italic>C. butyricum</italic> treatment reduced Th17 response and increased Treg response in the gastrointestinal tract and extra-gastrointestinal organ systems in EAE mice.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref28">Chen et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (acetate, butyrate, and valerate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">In MS patients, butyrate was higher and acetate lower. Acetate levels are associated negatively with IFNG. IFNG and TNF were favorably linked with butyrate and valerate.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref98">Olsson et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (acetate, propionate, and butyrate)</td>
<td align="left" valign="top">MS patients, IL-10&#x2212;/&#x2212; mice</td>
<td align="left" valign="top">SCFAs (acetate, propionate, and butyrate) are significantly decreased in MS.<break/>SCFAs increase IL-10&#x2009;T cells, Th17 and Th1 effector cells</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref100">Park et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (propionate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">MS exhibited reduced PA amounts. T cells increased, whereas Th1 and Th17 cells decreased after PA intake.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref39">Duscha et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (acetate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">acetate levels were higher in patients, and an inverse correlation exists between acetate levels and na&#x00EF;ve CD4+ T lymphocytes, while a direct correlation exists with IL-17-producing CD8+ T cells.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref104">P&#x00E9;rez-P&#x00E9;rez et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFA (butyric acid (BA), Caproic acid (CA))</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">In MS, the concentration of BA was reduced and that of CA was increased. The higher plasma concentrations of lipopolysaccharide and intestinal fatty acid-binding protein. CA was positively associated with CD4+/IFN&#x03B3;+ T lymphocytes, and the BA/CA ratio correlated positively with CD4+/CD25high/Foxp3+ and negatively with CD4+/IFN&#x03B3;+ T lymphocytes.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref112">Saresella et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFA (butyrate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">The microorganisms that produce butyric acid are reduced in MS. The abundance of butyrate correlated positively with the levels of chemokines such as IL-8 and MIP-1a, while it correlated negatively with those of inflammatory cytokines such as TNF-&#x03B1;.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref79">Ling et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Trp</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">MS patients had a significantly lower urine concentration of kynurenine than healthy controls.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref48">Gaetani et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Bile acids (TUDCA)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">Multiple bile acid metabolites were found in smaller amounts in MS, and TUDCA supplementation ameliorated neuroinflammation in EAE through its effects on GPBAR1.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref9">Bhargava et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (propionate acid)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">An increase of functionally competent regulatory T (Treg) cells in MS, whereas Th1 and Th17 cells decreased significantly after PA intake.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref39">Duscha et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (butyrate and propionate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">A reduction in butyrate and propionate biosynthesis and corresponding metabolic changes in MS.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref115">Takewaki et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">AAA metabolites</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">AAA metabolism results in the reduced production of immunomodulatory metabolites and increased production of metabotoxins in MS.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref45">Fitzgerald et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (butyrate, valerate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">MS patients had increased butyrate levels, and butyrate and valerate correlated positively with proinflammatory cytokines (IFNG and TNF). SCFAs were inversely connected with clinical impairment.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref98">Olsson et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (butyrate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">MS has reduced indolelactate and its producing bacteria and lower levels of species and genes involved in butyrate production.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref9001">Levi et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (butyrate)</td>
<td align="left" valign="top">C57BL/6JOlaHsd mice</td>
<td align="left" valign="top">the butyrate was increased and ameliorated the Clinical Signs and Reduced CNS Autoimmunity in EAE Mice</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref19">Calvo-Barreiro et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs (propionate)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">the propionate was reduced in MS patients</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref120">Trend et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">LPS</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">MS participants had higher breakdown of LPS molecules, but lower resistant starch metabolism.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref89">Mirza et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">SCFAs</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">MS patients had decreased SCFAs levels</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref21">Cantoni et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">tryptophan metabolism</td>
<td align="left" valign="top">PWD/PhJ (PWD) mice</td>
<td align="left" valign="top">The number of IL-17 and IFN&#x03B3;-producing CD4+ T cells was also reduced with low tryptophan, <italic>L. reuteri</italic> colonization elevated the number and frequency of TCR&#x03B3;&#x03B4; cells and their production of IL-17, in the presence of high dietary tryptophan.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref91">Montgomery et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Bile acids (TUDCA)</td>
<td align="left" valign="top">C57BL/6 mice</td>
<td align="left" valign="top">TUDCA suppressed excessive activation of astrocytes and inhibited inflammatory responses in the cerebral cortex of EAE mice via TGR5/AKT/NF&#x03BA;B signaling pathway.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref129">Xu et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="top">Bile acids (TUDCA)</td>
<td align="left" valign="top">MS patients</td>
<td align="left" valign="top">Central memory CD4+ and Th1/17 cells decreased, while CD4+ na&#x00EF;ve cells increased in the TUDCA arm compared to placebo.</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref70">Ladakis et al. (2024)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Trp, altered tryptophan; SCFAs, short-chain fatty acids; AAA, aromatic amino acid; LSP, lipopolysaccharide; TUDCA, effects of a secondary bile acid; GPBAR1, G protein-coupled bile acid receptor.</p>
</table-wrap-foot>
</table-wrap>
<p>EAE and cuprizone (CPZ) is a commonly used animal model for MS (<xref ref-type="bibr" rid="ref64">Ji et al., 2024</xref>). Regulatory T cells (Tregs) interacting with B cells and CNS glial cells are key factors in MS and EAE neurodegeneration (<xref ref-type="bibr" rid="ref16">Brummer et al., 2022</xref>). Among them, helper T cells (Th)1 and Th17 cells are the main coordinators of pathogenic inflammatory processes in MS (<xref ref-type="bibr" rid="ref66">Kamali et al., 2019</xref>). During pro-inflammatory cytokine production, self-antigen presentation to T cells acts as a pathogenic B-cell effector in MS. In EAE, antigen presentation by B cells is sufficient to cause disease by predominantly reactivating Th1 and Th17 cells (<xref ref-type="bibr" rid="ref117">Thomann et al., 2023</xref>).</p>
<p>Altered gut microbiota in MS patients can be attributed to T-cell dysfunction (<xref ref-type="bibr" rid="ref60">Hussman et al., 2016</xref>). Recent studies have shown that gut microbiota metabolites such as short-chain fatty acids (SCFAs), secondary bile acids, and tryptophan (Trp) can act as immunomodulators of regulatory T cells and T helper cells (<xref ref-type="bibr" rid="ref19">Calvo-Barreiro et al., 2023</xref>), Important regulators of brain and neuronal activity that can influence MS progression (<xref ref-type="bibr" rid="ref116">Tan et al., 2023</xref>).</p>
<p>SCFAs composed of acetic acid, propionic acid, and butyric acid act as a link between the gut microbiota and the immune system and can protect against many autoimmune diseases by regulating T cell differentiation (<xref ref-type="bibr" rid="ref80">Liu et al., 2024</xref>). Reinforcement of the blood&#x2013;brain barrier (BBB) by SCFAs suppresses experimental CNS inflammation (<xref ref-type="bibr" rid="ref68">Kim, 2023</xref>). Previous studies have shown lower levels of SCFAs in the feces of MS patients (<xref ref-type="bibr" rid="ref21">Cantoni et al., 2022</xref>), SCFAs positively correlate with Treg levels (<xref ref-type="bibr" rid="ref134">Zeng et al., 2019</xref>). SCFAs increase the number of regulatory T cells (<xref ref-type="bibr" rid="ref100">Park et al., 2019</xref>), and decrease clinical activity in MS patients (<xref ref-type="bibr" rid="ref100">Park et al., 2019</xref>). Lower levels of acetic acid in feces and plasma were observed in MS patients in <xref ref-type="bibr" rid="ref100">Park et al. (2019)</xref> and <xref ref-type="bibr" rid="ref134">Zeng et al. (2019)</xref>. In a study by P&#x00E9;rez et al. acetate levels were found to be negatively correlated with CD4+ Treg cells and positively correlated with CD8+ Treg cells (<xref ref-type="bibr" rid="ref104">P&#x00E9;rez-P&#x00E9;rez et al., 2020</xref>). Not only that, MS patients had lower levels of propionic acid in feces and plasma (<xref ref-type="bibr" rid="ref100">Park et al., 2019</xref>; <xref ref-type="bibr" rid="ref134">Zeng et al., 2019</xref>; <xref ref-type="bibr" rid="ref39">Duscha et al., 2020</xref>; <xref ref-type="bibr" rid="ref115">Takewaki et al., 2020</xref>; <xref ref-type="bibr" rid="ref120">Trend et al., 2021</xref>), but MS patients continued to have a significant increase in T-cell counts and a decrease in Th1 and Th17 cell counts after 2&#x2009;weeks of propionic acid ingestion. Propionic acid ingestion for 3&#x2009;years reduced MS annual relapses and stabilized the disease (<xref ref-type="bibr" rid="ref39">Duscha et al., 2020</xref>). Similarly, fecal and plasma levels of butyric acid have been found to be reduced in MS patients in several studies (<xref ref-type="bibr" rid="ref100">Park et al., 2019</xref>; <xref ref-type="bibr" rid="ref134">Zeng et al., 2019</xref>; <xref ref-type="bibr" rid="ref79">Ling et al., 2020</xref>; <xref ref-type="bibr" rid="ref112">Saresella et al., 2020</xref>; <xref ref-type="bibr" rid="ref115">Takewaki et al., 2020</xref>), and <italic>Clostridium butyricum</italic> treatment decreased Th17 responses and increased Treg responses in EAE mice (<xref ref-type="bibr" rid="ref28">Chen et al., 2019</xref>). And elevated fecal and plasma caproic acid (<xref ref-type="bibr" rid="ref112">Saresella et al., 2020</xref>). Caproic acid was positively correlated with CD4+/ nterferon-&#x03B3; (IFN&#x03B3;)&#x2009;+&#x2009;T cells, and the butyric acid/caproic acid ratio was positively correlated with CD4+/CD25high/Foxp3+ and negatively correlated with CD4+/IFN&#x03B3;+ T lymphocytes (<xref ref-type="bibr" rid="ref112">Saresella et al., 2020</xref>). However, there is disagreement about acetic and butyric acid levels in MS, and P&#x00E9;rez et al. examined SCFA levels in plasma from Spanish patients and found a significant increase in acetic acid levels (<xref ref-type="bibr" rid="ref104">P&#x00E9;rez-P&#x00E9;rez et al., 2020</xref>). Olsson et al. studied 58 patients and found a significant elevation of butyric acid in their plasma (<xref ref-type="bibr" rid="ref98">Olsson et al., 2021</xref>).</p>
<p>The results of recent animal studies have shown that the gut metabolite bile acids, taurine deoxycholic acid (TUDCA), has a good therapeutic advantage in neurological disorders due to its neuroprotective properties, nontoxic nature, and ability to cross the blood&#x2013;brain barrier (<xref ref-type="bibr" rid="ref53">Grant and DeMorrow, 2020</xref>). Bhargava et al. performed cellular experiments and found that bile acid receptor expression was enhanced in immune and neuroglial cells from MS patients, and supplementation of cells and mice with TUDCA revealed that TUDCA alleviated symptoms in MS patients by modulating the bile acid receptor G protein-coupled bile acid receptor 1 (GPBAR1; <xref ref-type="bibr" rid="ref9">Bhargava et al., 2020</xref>). TUDCA was found to inhibit inflammatory responses in C57BL/6 mice by suppressing astrocyte hyperactivation in the cerebral cortex of EAE mice through the G-protein coupled bile acid receptor Gpbar1/ threonine kinase/ I (TGR5/AKT/NF-KB) signaling pathway (<xref ref-type="bibr" rid="ref129">Xu et al., 2023</xref>). Another study also found that TUDCA supplementation increased circulating levels of several bile acids, affected peripheral immune phenotypes, and altered gut microbiota (<xref ref-type="bibr" rid="ref70">Ladakis et al., 2024</xref>). In a mouse model of EAE, agonism of GPBAR1 was found to reduce the number of monocytes and T cells in the CNS and to reduce monocyte and microglia activation in the CNS as well as monocyte activation in the periphery, and a reduction in the severity of the disease in EAE was found to be detected by clinical scores (<xref ref-type="bibr" rid="ref72">Lewis et al., 2014</xref>).</p>
<p>In addition to SCFA and bile acids, elevated gut metabolite Trp is associated with multiple sclerosis compared to healthy controls (<xref ref-type="bibr" rid="ref96">Nourbakhsh et al., 2018</xref>). EAE animal studies found that the number of IL-17- and IFN&#x03B3;-producing CD4+ T cells was reduced at low tryptophan levels, whereas colonization of <italic>Lactobacillus reueri</italic>at high tryptophan levels increased the number and frequency of TCR&#x03B3;&#x03B4; cells and increased IL-17 production, suggesting that <italic>Lactobacillus reueri</italic>tryptophan metabolism promotes host susceptibility to CNS autoimmunity (<xref ref-type="bibr" rid="ref91">Montgomery et al., 2022</xref>). Metabolism of the canine uridine pathway is an important pathway for Trp involvement in the regulation of immunity, neurological function, and intestinal homeostasis (<xref ref-type="bibr" rid="ref107">Platten et al., 2019</xref>), Includes kynurenine (KA) and quinolinic acid (QA) as neuroactive kynurenine pathway metabolites with neuroprotective and neurotoxic properties respectively (<xref ref-type="bibr" rid="ref137">Zheng et al., 2022</xref>). A study in Italy found that urinary kynurenine concentrations in <italic>MS</italic> patients were significantly lower than in the HC group (<xref ref-type="bibr" rid="ref48">Gaetani et al., 2020</xref>). T-cell suppression mediated by IDO-1 in MS patients leads to MS progression through the production of excitotoxic QA (and increased QA/KA ratio) by infiltrating macrophages (<xref ref-type="bibr" rid="ref77">Lim et al., 2017</xref>).</p>
<p>Other gut metabolites such as changes in the metabolism of aromatic amino acids (AAA) in MS patients, the AAA-derived lactate metabolite ILA reduces pro-inflammatory cytokine interleukin-6(IL-6) and IL-1&#x03B2; production and ameliorates worsening MS severity (<xref ref-type="bibr" rid="ref45">Fitzgerald et al., 2021</xref>). Lipopolysaccharide (LPS) catabolism was higher in MS participants compared to HC group (<xref ref-type="bibr" rid="ref89">Mirza et al., 2022</xref>). In EAE mice, LPS-induced dendritic cell (DC) apoptosis inhibits Th17 and IFN-&#x03B3; cell activity and blocks myelin oligodendrocyte glycoprotein (MOG)-triggered CD4+ T-cell activation <italic>in vivo</italic>, thereby inhibiting the development of EAE (<xref ref-type="bibr" rid="ref138">Zhou et al., 2014</xref>).</p>
<p>In summary, there is growing evidence that gut microbiota and their metabolites can communicate with the host via T cells and that T cell-mediated immune pathways play a large role in controlling the host immune system and inflammation. We believe that changes in metabolites from gut microbiota may be a key way to understand how gut microbiota and MS &#x201C;talk to each other.&#x201D; However, there is still much uncertainty about this issue.</p>
<sec id="sec5">
<label>2.2.1</label>
<title>Effect of mitochondria on MS</title>
<p>The occurrence of mitochondrial abnormalities has been demonstrated in studies of MS patients as well as in various animal models of MS. These abnormalities include accumulation of reactive ROS, altered mitochondrial dynamics, and mitochondrial autophagy (<xref ref-type="bibr" rid="ref2">Alshial et al., 2023</xref>).</p>
<p>Specific neuronal cells in the CNS of MS patients (e.g., astrocytes, activated macrophages, and microglia) produce reactive ROS, and mitochondrial dysfunction increases the level of ROS, which leads to neuronal and glial cell damage (<xref ref-type="bibr" rid="ref47">Friese et al., 2014</xref>). Peripheral Blood Nucleated Cells Obtained from MS Patients Show Lower Reductive Activity and Increased ROS Production (<xref ref-type="bibr" rid="ref106">Pistono et al., 2020</xref>). Yang et al. found that PGC-1&#x03B1; interacted with transcription factor silencing information regulator 2 homolog 1 to maintain the deacetylated state of PGC-1&#x03B1;, which not only inhibited the production of reactive ROS but also inhibited the activation of microglia and astrocytes, resulting in anti-inflammatory effects in EAEs (<xref ref-type="bibr" rid="ref131">Yang et al., 2024</xref>). Alissafi et al. found that inhibition of ROS in regulatory T cells of EAE mice by MitoTEMPO attenuates the DNA damage response and avoids Treg cell death, thereby inhibiting the development of Th1 and Th17 cells (<xref ref-type="bibr" rid="ref1">Alissafi et al., 2020</xref>), Inhibition of Th1 and Th17 cells which is protective in against EAE (<xref ref-type="bibr" rid="ref74">Li Y. et al., 2022</xref>; <xref ref-type="bibr" rid="ref4">Angelini et al., 2023</xref>).</p>
<p>Mitochondrial dynamics for mitochondrial fission and fusion can regulate changes in number, morphology, and localization within cells (<xref ref-type="bibr" rid="ref118">Tilokani et al., 2018</xref>). Disturbances in mitochondrial dynamics may affect many cellular and molecular pathways such as calcium-dependent immune activation, transcription factor phosphorylation cytokine secretion, and even cell death (<xref ref-type="bibr" rid="ref37">de Oliveira et al., 2021</xref>). Ion channel blockers found in animal models of EAE block voltage-gated Ca<sup>2+</sup> channels can alleviate MS symptoms (<xref ref-type="bibr" rid="ref123">Ulsh&#x00F6;fer et al., 2022</xref>). DE et al. found that increased mitochondrial DNA damage in MS, which in turn caused upregulation of mitochondrial reverse transcriptase activity, led to excessive release of inflammatory mediators and neuronal damage. In addition, progesterone treatment improved mitochondrial ultrastructure and increased fission/fusion protein mRNA, enhancing neuroprotective and anti-inflammatory effects in EAE mice (<xref ref-type="bibr" rid="ref36">De Nicola et al., 2018</xref>). Activation of Drp1 (a mitochondrial fission protein) in oligodendrocytes by tumor necrosis factor-&#x03B1; (TNF&#x03B1;) or ROS treatment in oligodendrocytes in EAE versus CPZ animal models, and inhibition of Drp1 activation by P110 (an inhibitor that prevents Drp1 from binding to mitochondrial fission proteins) attenuates mitochondrial fragmentation and cell death in oligodendrocytes, alleviates disease severity in EAE mice, oligodendrocyte loss and myelin sheath injury can also reduce oligodendrocyte loss and myelin damage in CPZ models (<xref ref-type="bibr" rid="ref71">Lei and Lin, 2024</xref>).</p>
<p>Autophagy is a conserved intracellular degradation pathway, and the conclusion that mitochondrial dysregulation is the determinant of MS autophagy in animal models of MS has also been demonstrated <italic>in vivo</italic> (<xref ref-type="bibr" rid="ref73">Li et al., 2019</xref>). The study found the presence of excess mitophagy markers in the cerebrospinal fluid (CSF) and serum of patients with MS (<xref ref-type="bibr" rid="ref102">Patergnani et al., 2018</xref>). Direct activation of the mitochondrial autophagy mechanism has been demonstrated in an <italic>in vivo</italic> demyelinating mouse model. Studies have shown that antipsychotic compounds haloperidol and clozapine (identified as potential autophagy inhibitors) block aberrant mitophagy and reduce TNF-&#x03B1; and IL-1-&#x03B2; production, prevent demyelination in CPZ models, induce remyelination, and restore MS behavioral deficits (<xref ref-type="bibr" rid="ref101">Patergnani et al., 2021</xref>).</p>
<p>It has been found that enhancing mitochondrial autophagic clearance and inducing autophagosome formation can play a protective role in MS animal models (<xref ref-type="bibr" rid="ref131">Yang et al., 2024</xref>). Moreover, the deletion of autophagy-related gene 7 (Atg7) in DCs can reduce the <italic>in vivo</italic> activation of T cells, which in turn improves EAE (<xref ref-type="bibr" rid="ref10">Bhattacharya et al., 2014</xref>).</p>
</sec>
</sec>
<sec id="sec6">
<label>2.3</label>
<title>Gut microbiota and mitochondrial interactions</title>
<p>Recent evidence from microbiology suggests that mitochondria originate with the phylum &#x03B1;-Ascomycetes and that there is a close connection between gut microbiota and mitochondria, despite the different roles of mitochondria and gut microbiota (<xref ref-type="bibr" rid="ref7">Bajpai et al., 2018</xref>; <xref ref-type="bibr" rid="ref94">Murphy and O&#x2019;Neill, 2024</xref>). Bidirectional communication exists between gut microbiota and mitochondria, and gut microbiota has become a dynamic central regulator of mitochondrial function whereas mitochondria are the most responsive organelles to microbial signaling (<xref ref-type="bibr" rid="ref62">Jackson and Theiss, 2020</xref>).</p>
<p>Gut microbiota and their metabolites can regulate mitochondrial energy metabolism, ROS production, and immune-inflammatory responses by participating in the <xref ref-type="bibr" rid="ref13">Borbolis et al. (2023)</xref> and <xref ref-type="bibr" rid="ref40">Endres and Friedland (2023)</xref>. Li et al. found that butyrate can induce mitochondrial autophagy through the activation of adenylate-activated protein kinase (AMPK), thereby attenuating hydrogen peroxide- (H<sub>2</sub>O<sub>2</sub>-)induced oxidative stress, intestinal epithelial barrier damage, and mitochondrial dysfunction (<xref ref-type="bibr" rid="ref75">Li X. et al., 2022</xref>). Alterations in butyrate may affect glial cells, leading to mitochondrial dysfunction in microglia and oligodendrocytes, which up-regulates oxidants and reduces their ability to cope with oxidants, thereby inhibiting myelin synthesis in MS disease (<xref ref-type="bibr" rid="ref3">Anderson et al., 2019</xref>). MS patients ingesting propionic acid for 2&#x2009;weeks showed a significant increase in Treg cells and a significant decrease in Th1 and Th17 cells, restoring mitochondrial respiration in MS (<xref ref-type="bibr" rid="ref39">Duscha et al., 2020</xref>). Therefore, it is hypothesized that propionic acid may ameliorate MS symptoms by modulating mitochondrial function in T cells. In studies of atherosclerotic disease, it has been found that short-chain fatty acids, trimethylamine, and bile acids can affect mitochondrial DNA (mtDNA) mutations, oxidative stress, and alterations in mitochondrial autophagy, thereby increasing inflammation, further disrupting intracellular homeostasis and innate immune homeostasis, and exacerbating atherosclerosis (<xref ref-type="bibr" rid="ref76">Li et al., 2023</xref>). Dysbiosis of gut microbiota causes translocation of molecular patterns associated with pathogens of bacterial origin (bacterial metabolites, bacterial vesicles, and even bacteria) into neurons of the central nervous system, which affects neuronal function through mitochondrial autophagy and ultimately contributes to the development of Parkinson&#x2019;s disease (<xref ref-type="bibr" rid="ref83">Magalh&#x00E3;es et al., 2023</xref>). Gut microbiota metabolism may lead to altered mitochondrial function or disturbances in mitochondrial quality control, which may alleviate or accelerate the progression of diabetic nephropathy (<xref ref-type="bibr" rid="ref82">Ma et al., 2023</xref>).</p>
<p>Mitochondrial ROS production, kinetic disorganization, and respiration play important roles in the composition of the gut microbiota (<xref ref-type="bibr" rid="ref111">Saint-Georges-Chaumet and Edeas, 2016</xref>). Cao et al. used <italic>Lactobacillus plantarum</italic> ZJUIDS14 to intervene in a Non-alcoholic Fatty Liver Disease (NAFLD) model mouse and found that the increase in the relative abundance of Roseburia in the feces of the model mice also increased Drp 1 and decreased the mitochondrial oxidative phosphorylation (OXPHOS) thereby improving mitochondrial function and ultimately attenuating high-fat diet-associated hepatic steatosis, and liver injury (<xref ref-type="bibr" rid="ref22">Cao et al., 2022</xref>). Drp1 induces ROS accumulation in IECs potentially leading to aberrant composition of the anaplastic bacillus population and reduced production of SCFAs (<xref ref-type="bibr" rid="ref38">Duan et al., 2020</xref>). In contrast, inhibition of Drp1 by P110 treatment reduced TNF-&#x03B1; or H2O2-induced mitochondrial damage and prevented demyelination in EAE-immunized mice (<xref ref-type="bibr" rid="ref81">Luo et al., 2017</xref>). It was found that mtDNA defects as well as changes in mitochondrial structure and function can modulate gut microbiota to influence MS progression (<xref ref-type="bibr" rid="ref85">Mahad et al., 2008</xref>). For example, other mouse strains carrying different mtDNA variants such as C57BL/6, ND6 P25L/(C57BL/6&#x2009;J), and mt-129(C57BL/6&#x2009;J) regulate the composition of the gut microbiota by altering the mitochondrial redox state and the associated ROS production (<xref ref-type="bibr" rid="ref132">Yardeni et al., 2019</xref>). Similarly, mitochondria can produce ROS during OXPHOS respiration, and studies using mice carrying different mtDNA variants have found differences in the composition of gut microbiota due to reduced OXPHOS respiration and increased glycolysis (<xref ref-type="bibr" rid="ref57">Hirose et al., 2017</xref>).</p>
<p>Thus, these results suggest that establishing the crosstalk between gut microbiota and mitochondria is critical to understanding the complex and evolving interactions between gut microbiota and mitochondria and the host. By targeting the crosstalk between gut microbiota and mitochondria, a range of diseases associated with disorders of gut microbiota and mitochondria can be treated more precisely (e.g., <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Interactions between gut microbiota, their metabolites, and mitochondria. With the dysregulation of gut microbiota and mitochondrial dysfunction, intestinal occurrences can undergo changes such as leaky gut syndrome, increased intestinal permeability, and intestinal barrier dysfunction thereby causing human diseases. SCFAs, short-chain fatty acids; Bile, bile acids; Trp, tryptophan; TMAO, trimethylamine N-oxide; AMPK, adenylate-activated protein kinase; OXPHOS, oxidative phosphorylation; Drp1, dynamin-associated protein 1; MS, multiple sclerosis; PD, Parkinson&#x2019;s disease; CVD, atherosclerosis; NAFLD, non-alcoholic fatty liver disease; DKD, diabetic kidney disease; IBD, inflammatory bowel disease.</p>
</caption>
<graphic xlink:href="fmicb-15-1404995-g001.tif"/>
</fig>
</sec>
<sec id="sec7">
<label>2.4</label>
<title>Gut microbiota and mitochondrial crosstalk in MS</title>
<p>As mentioned previously, although both mitochondrial dysfunction and alterations in gut microbiota have been associated with the pathogenesis of MS, it is uncertain whether the gut microbiota transmits signals to the mitochondria to contribute to the development of MS. Therefore, based on the current findings, we propose a potential mechanism by which gut microbiota-mitochondrial crosstalk plays an important role in the pathogenesis of MS (<xref ref-type="fig" rid="fig2">Figure 2</xref>). In this crosstalk with the degradation, digestion, and absorption of food by the gut microbiota, the use of probiotics, and fecal transplants, a variety of gut microbiota metabolites are produced in response to the gut microbiota and then enter the circulatory system. These gut microbiota metabolites, such as SCFAs cross the blood&#x2013;brain barrier to reach the brain and interact with the brain&#x2019;s mitochondria. Metabolites of gut microbiota may lead to altered mitochondrial function, which may alleviate or accelerate the progression of MS.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Potential mechanisms for gut microbiota-mitochondrial crosstalk in MS pathogenesis. In this hypothetical crosstalk, the diversity and abundance of gut microbiota change as food is digested, degraded, and absorbed. Subsequently, various gut metabolites, such as SCFAS, bile acids, and Trp, are produced by the gut microbiota, which are transported to the brain via the MGB and interact with mitochondria in the brain. The metabolites of gut microbiota may cause mitochondrial dysfunction, which may attenuate or accelerate the progression of MS. MGB, gut-brain-axis; SCFAs, short-chain fatty acids; Bile, bile acids; Trp, tryptophan; AAA, aromatic amino acids; LSP, lipopolysaccharides; AMPK, adenylate-activated protein kinase; OXPHOS, oxidative phosphorylation; Drp1, dynamin-associated protein 1; DC, dendritic cells; ROS, reactive oxygen species; PGC-1&#x03B1;, peroxisome proliferator-activated receptor &#x03B3; coactivator; BBB, blood&#x2013;brain barrier.</p>
</caption>
<graphic xlink:href="fmicb-15-1404995-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="sec8">
<label>3</label>
<title>Treatment strategies and future prospects</title>
<p>The etiology of MS involves multiple factors and pathways. In this review, we emphasize the potential mechanisms of gut microbiota and mitochondrial crosstalk in MS progression. To date, several therapeutic strategies, including probiotics, dietary interventions, fecal transplants, and administration of medications, have been used to slow MS progression (<xref ref-type="bibr" rid="ref121">Tsogka et al., 2023</xref>).</p>
<p>Probiotic and prebiotic supplementation is beneficial in reducing inflammation and modulating immune cytokines (<xref ref-type="bibr" rid="ref15">Bronzini et al., 2023</xref>). Rahimlou et al. conducted a six-month clinical study on MS patients using probiotic supplements. The results showed a significant increase in brain-derived neurotrophic factor levels and a significant decrease in inflammatory factor IL-6 levels in the probiotic group compared to the placebo group, as well as significant improvements in the General Health Questionnaire (GHQ)-28, Beck Depression Inventory-II, Fatigue Severity Scale and Pain Rating Index (<xref ref-type="bibr" rid="ref108">Rahimlou et al., 2022</xref>). An intervention study of the probiotic <italic>Saccharomyces boulardii</italic> in 40 MS patients found significant reductions in levels of the inflammatory marker high-sensitivity C-reactive protein along with pain intensity and fatigue, as well as significant improvements in terms of the Quality of Life Scale, and the GHQ Somatic and Social Dysfunction subscales in the probiotic group compared to the placebo group (<xref ref-type="bibr" rid="ref5">Asghari et al., 2023</xref>). <italic>Palmaria palmata</italic> Alga probiotic intervention in mice in a CPZ model increased Firmicutes/Bacteroidetes ratio, increased the abundance of beneficial Lactobacillus, Proteobacteria, and Bactriodia communities, and prevented CPZ-induced grip strength loss and open field test anxiety, as compared to the control group (<xref ref-type="bibr" rid="ref133">Yousof et al., 2023</xref>). Anti-inflammatory-antioxidant-rich diet and co-supplemented synbiotics intervention in 69 patients with MS significantly reduced Faecal calprotectin levels at 6&#x2009;months, reduced intestinal inflammation, and improved clinical manifestations in progressive forms of MS compared with the control group (<xref ref-type="bibr" rid="ref92">Moravejolahkami et al., 2023</xref>).</p>
<p>The beneficial effects of fasting and ketogenic diets have been demonstrated in several studies in mouse models of EAE by altering the gut microbiota of MS patients through dietary habits (<xref ref-type="bibr" rid="ref6">Bai et al., 2021</xref>; <xref ref-type="bibr" rid="ref14">Brenton et al., 2022</xref>; <xref ref-type="bibr" rid="ref78">Lin et al., 2023</xref>), These dietary interventions delayed the onset of the disease, reducing or even reversing its motor and cognitive symptoms (<xref ref-type="bibr" rid="ref55">Guo et al., 2023</xref>). Lin et al. found that IF may exert neuroprotective effects on MS patients through several mechanisms, including (1) regulation of blood glucose levels and enhancement of insulin sensitivity; (2) inhibition of inflammatory responses; (3) autophagy activation; and (4) reduction of oxidative stress (<xref ref-type="bibr" rid="ref78">Lin et al., 2023</xref>). A clinical trial of an anti-inflammatory dietary intervention was conducted in 100 MS patients, and the results of the study showed significant improvements in the Modified Fatigue Impact Scale and the Multiple Sclerosis Quality of Life Scale (mSQoL-54) in the intervention group compared to the control group, while elevated IL-4 levels were observed (<xref ref-type="bibr" rid="ref93">Mousavi-Shirazi-Fard et al., 2021</xref>).</p>
<p>Fecal microbiota transplantation (FMT) is the most effective gut microbiota intervention currently available (<xref ref-type="bibr" rid="ref125">Vendrik et al., 2020</xref>). Introducing FMT from MS patients into healthy mice results in reduced Sutterella abundance, decreased anti-inflammatory signaling, and increased EAE inflammation (<xref ref-type="bibr" rid="ref8">Berer et al., 2017</xref>). Animal studies of mice transplanted with FMT (from normal healthy donors) resulted in slowing the development of EAE, relieving symptoms, improving BBB integrity, and restoring microbiota diversity. Transplantation of FMT from a healthy donor into MS patients improved intestinal motility and motility in patients for at least 2 to 15&#x2009;years (<xref ref-type="bibr" rid="ref135">Zhanel et al., 2023</xref>).</p>
<p>Development of drugs targeting mitochondrial dysfunction, e.g., antioxidants targeting mitochondria, including SKQ1 and MitoQ have been tested in preclinical studies (<xref ref-type="bibr" rid="ref43">Fields et al., 2023</xref>). For example, <italic>in vitro</italic> experiments have shown that SkQ1 was found to accumulate in the mitochondria of oligodendrocytes and microglia and was also found to prevent lipopolysaccharide-induced myelin production in oligodendrocytes could improve MS (<xref ref-type="bibr" rid="ref42">Fetisova et al., 2019</xref>). Pretreatment and treatment of EAE mice with MitoQ reduces axonal loss and decreases neurological deficits associated with EAE, suggesting that MitoQ has a realized neuroprotective effect (<xref ref-type="bibr" rid="ref86">Mao et al., 2013</xref>). Mitochondrial transplantation in animal models of MS has recently emerged as a potential therapeutic approach to restore mitochondrial function in diseased cells (<xref ref-type="bibr" rid="ref32">Clemente-Su&#x00E1;rez et al., 2023</xref>). However, methods involving the use of mitochondrial transplants to slow or block axonal degeneration require additional <italic>in vitro</italic> or <italic>in vivo</italic> studies for validation (<xref ref-type="bibr" rid="ref105">Picone and Nuzzo, 2022</xref>).</p>
<p>As mentioned previously, mtDNA variants would be potential co-regulators of mitochondrial function and gut microbiota. Therefore, regulating pathology-associated mtDNA variants may be a potential approach to control MS. Currently, there are several methods to manipulate mtDNA, including transcription activator-like effector nucleases (TALENs) and zinc finger nucleases (mtZFN; <xref ref-type="bibr" rid="ref50">Gammage et al., 2018</xref>). mitoTALENs have been designed to specifically cleave certain sequences in mtDNA in order to remove mtDNA containing deleterious point mutations (<xref ref-type="bibr" rid="ref56">Hashimoto et al., 2015</xref>). Correcting mtDNA heterogeneity through the use of mtZFN may be useful as a treatment for a variety of genetically caused heterogeneous mitochondrial diseases (<xref ref-type="bibr" rid="ref50">Gammage et al., 2018</xref>).</p>
<p>Probiotic use, dietary interventions, fecal transplants, mtDNA variant modulation, drug administration, and mitochondrial transplants would be potential co-regulators of mitochondrial function and gut microbiota. Thus, modulation of these factors associated with pathology may be a potential approach to treating MS based on gut microbiota-mitochondrial crosstalk. In summary, intestinal flora and mitochondrial crosstalk are important in the development of MS, and therefore, we propose a potential therapeutic approach based on the presence of this crosstalk in MS. Unfortunately, however, no specific targeted drugs that can modulate this crosstalk have been identified in clinical studies. It is hypothesized that supplementation with probiotics, prebiotics, dietary fibers (SCFAs), and an anti-inflammatory diet can be beneficial in the treatment of MS and correlate with gut flora-mitochondrial crosstalk. And in order to assess the importance of gut flora-mitochondrial crosstalk as a biomarker of MS and the efficacy of flora interventions, translational approaches and relevant clinical trials are necessary. These are needed to better understand the temporal and causal relationships between gut flora-mitochondrial crosstalk and the development of MS.</p>
</sec>
<sec sec-type="conclusions" id="sec9">
<label>4</label>
<title>Conclusion</title>
<p>This paper reviews the close relationship between gut flora and mitochondria during MS by modulating gut flora composition, metabolites produced by gut flora and mitochondrial dysfunction to reduce ROS-related inflammation and attenuate neural demyelination changes in MS patients. Although much progress has been made so far in exploring the effects of gut flora and mitochondrial function on MS, we still do not have enough information to fully elucidate the impact of the gut flora-mitochondrial crosstalk on the regulatory function of MS. In the future, we will conduct more studies to elucidate the mechanism of gut flora-mitochondrial crosstalk in MS, which will provide important evidence to ameliorate or delay the symptoms of MS.</p>
</sec>
<sec sec-type="author-contributions" id="sec10">
<title>Author contributions</title>
<p>HT: Conceptualization, Methodology, Writing &#x2013; original draft. DH: Conceptualization, Methodology, Writing &#x2013; original draft. JW: Investigation, Validation, Writing &#x2013; review &#x0026; editing. HL: Investigation, Validation, Writing &#x2013; review &#x0026; editing. JG: Investigation, Validation, Writing &#x2013; review &#x0026; editing. YZ: Investigation, Validation, Writing &#x2013; review &#x0026; editing. LX: Investigation, Validation, Writing &#x2013; review &#x0026; editing. AZ: Supervision, Writing &#x2013; review &#x0026; editing. XK: Supervision, Writing &#x2013; review &#x0026; editing. ZL: Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec12">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Research Launch Project of the Fourth People&#x2019;s Hospital Affiliated with Tongji University (grant number: sykyqd02001), Guiding Projects of Fujian Science and Technology Department (grant number: 2023Y0101), and Natural Science Foundation of Fujian Province (grant number: 2020J05268).</p>
</sec>
<sec sec-type="COI-statement" id="sec13">
<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="sec100" 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 sec-type="supplementary-material" id="sec14">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2024.1404995/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2024.1404995/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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</ref-list>
<glossary>
<title>Glossary</title>
<def-list>
<def-item><term>MS</term>
<def><p>multiple sclerosis</p></def>
</def-item>
<def-item><term>CNS</term>
<def><p>central nervous system</p></def>
</def-item>
<def-item><term>DMT</term>
<def><p>disease-modifying therapies</p></def>
</def-item>
<def-item><term>MGB</term>
<def><p>gut-brain-axis</p></def>
</def-item>
<def-item><term>ATP</term>
<def><p>Adenosine triphosphate</p></def>
</def-item>
<def-item><term>ROS</term>
<def><p>reactive oxygen species</p></def>
</def-item>
<def-item><term>ETC</term>
<def><p>electron transport chain</p></def>
</def-item>
<def-item><term>PGC-1alpha</term>
<def><p>peroxisome proliferator-activated receptor &#x03B3; coactivator 1-alpha alpha</p></def>
</def-item>
<def-item><term>EAE</term>
<def><p>autoimmune encephalomyelitis</p></def>
</def-item>
<def-item><term>MARK</term>
<def><p>mitogen-activated kinase</p></def>
</def-item>
<def-item><term>IF</term>
<def><p>intermittent fasting</p></def>
</def-item>
<def-item><term>CPZ</term>
<def><p>cuprizone</p></def>
</def-item>
<def-item><term>Tregs</term>
<def><p>regulatory T cells</p></def>
</def-item>
<def-item><term>SCFAs</term>
<def><p>short-chain fatty acids</p></def>
</def-item>
<def-item><term>Trp</term>
<def><p>tryptophan</p></def>
</def-item>
<def-item><term>BBB</term>
<def><p>blood&#x2013;brain barrier</p></def>
</def-item>
<def-item><term>TUDCA</term>
<def><p>taurine deoxycholic acid</p></def>
</def-item>
<def-item><term>GPBAR1</term>
<def><p>G protein-coupled bile acid receptor 1</p></def>
</def-item>
<def-item><term>TGR5/AKT/NF-KB</term>
<def><p>G-protein coupled bile acid receptor Gpbar1/ threonine kinase/ nuclear factor &#x03BA;B</p></def>
</def-item>
<def-item><term>AAA</term>
<def><p>aromatic amino acids</p></def>
</def-item>
<def-item><term>Drp1</term>
<def><p>dynein-associated protein 1</p></def>
</def-item>
<def-item><term>TNF&#x03B1;</term>
<def><p>tumor necrosis factor-&#x03B1;</p></def>
</def-item>
<def-item><term>OXPHOS</term>
<def><p>mitochondrial oxidative phosphorylation</p></def>
</def-item>
</def-list>
</glossary>
</back>
</article>