<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" "archivearticle.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="systematic-review" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1627406</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Efficacy of gut microbiota-targeted therapies in Parkinson&#x2019;s disease: a systematic review and meta-analysis of randomized controlled trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gu</surname>
<given-names>Xiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3062459/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Jihong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Chanxi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Integrated Diagnosis and Treatment Center for Neurological Diseases, Yubei District People&#x2019;s Hospital of Chongqing</institution>, <addr-line>Chongqing</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Respiratory and Critical Care Medicine, Yubei District People&#x2019;s Hospital of Chongqing</institution>, <addr-line>Chongqing</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/40297/overview">Jaime Garcia-Mena</ext-link>, Center for Research and Advanced Studies, National Polytechnic Institute of Mexico (CINVESTAV), Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/32819/overview">Giovanni Albani</ext-link>, Italian Auxological Institute (IRCCS), Italy</p>
<p>Carmen Josefina Ju&#xe1;rez Castel&#xe1;n, Cinvestav Zacatenco, Mexico</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiang Gu, <email xlink:href="mailto:115216561@qq.com">115216561@qq.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1627406</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Gu, Tang and Chen.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Gu, Tang and Chen</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>Objective</title>
<p>This study aimed to investigate the efficacy of gut microbiota (GM)-targeted therapies in treating Parkinson&#x2019;s disease (PD).</p>
</sec>
<sec>
<title>Methods</title>
<p>Randomized controlled trials (RCTs) were retrieved from PubMed, Embase, Cochrane, and WOS from database inception to June 2025. The eligible RCTs employed GM-targeted therapies, including antibiotics, probiotics, synbiotics, or fecal microbiota transplantation (FMT), as adjunct treatments for PD. Data were pooled using a random-effects model, and the effect sizes were expressed as standardized mean differences (SMDs). In addition, the quality of evidence for all outcomes was assessed using the GRADE framework.</p>
</sec>
<sec>
<title>Results</title>
<p>This study demonstrated that GM-targeted therapies significantly improved PD outcomes, including Movement Disorder Society-Unified Parkinson Disease Rating Scale (MDS-UPDRS) III (SMD: -0.34, 95%CI: -0.57 to -0.11, P = 0.004), bowel movements (BMs) (SMD: 1.27, 95%CI: 0.35 to 2.2), use of laxatives (SMD: -0.33, 95% CI: -0.65 to -0.02), malondialdehyde (MDA) (SMD: -0.69, 95%CI: -1.23 to -0.15) indicators. However, there were no significant improvements in MDS-UPDRS I (SMD: -0.64, 95%CI: -1.42 to 0.13), MDS-UPDRS II (SMD: -0.28, 95%CI: -0.70 to 0.14), MDS-UPDRS IV (SMD: -0.08, 95% CI: -0.82 to 0.66), Mini-Mental State Examination (MMSE) (SMD: -0.01, 95% CI: -0.30 to 0.29), Montreal Cognitive Assessment (MoCA) (SMD: 0.04, 95%CI: -0.53 to 0.60), non-motor symptom scale (NMSS) (SMD: -0.11, 95%CI: -0.94 to 0.72), Parkinson&#x2019;s Disease Questionnaire-39 (PDQ-39) (SMD: -0.19, 95%CI: -0.58 to 0.20), total antioxidant capacity (TAC) (SMD: 0.29, 95%CI: -0.04 to 0.62), glutathione (GSH) (SMD: 0.51, 95%CI: -0.02 to 1.03), and Geriatric Depression Scale-15 (GDS-15) (SMD: -0.37, 95%CI: -0.87 to 0.12).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>GM-targeted therapies may improve motor symptom scores (as measured by MDS-UPDRS III), alleviate constipation, and reduce blood malondialdehyde levels in PD patients. However, they did not significantly impact the scores for cognitive function, PD neuropsychiatric, behavioral, and emotional symptoms, and activities of daily living in this analysis. Given the inherent limitations of the included studies (such as small sample sizes and heterogeneity), future large-scale and rigorously designed RCTs are needed to validate these preliminary findings.</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 CRD42024606415.</p>
</sec>
</abstract>
<kwd-group>
<kwd>meta-analysis</kwd>
<kwd>Parkinson&#x2019;s disease</kwd>
<kwd>probiotics</kwd>
<kwd>synbiotics</kwd>
<kwd>antibiotics</kwd>
<kwd>fecal microbiota transplantation</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="13"/>
<word-count count="5390"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Intestinal Microbiome</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Parkinson&#x2019;s disease (PD), a neurodegenerative illness, is increasingly prevalent across the globe, severely affecting patients&#x2019; lives and causing huge economic strains on society. The primary hallmark of PD is the gradual loss of dopaminergic neurons (DNs) in the substantia nigra (SN). This neuronal death leads to classical motor symptoms, including resting tremors, bradykinesia, and muscle rigidity. Various non-motor symptoms affect PD patients, including anxiety, depression, constipation, sleep disturbances, and hyposmia. These non-motor symptoms often occur years before motor symptoms and severely impact PD patients&#x2019; daily functioning and quality of life (<xref ref-type="bibr" rid="B16">Lang, 2011</xref>). As the global population continues to age, the number of PD patients is projected to exceed 12 million by 2050 (<xref ref-type="bibr" rid="B25">Rocca, 2018</xref>). Although the exact causes of PD remain unclear, genetic susceptibility, environmental exposure, oxidative stress (OS), neuroinflammation, and gut microbiota dysbiosis (GMD) are believed to be strongly linked to the pathogenesis of PD (<xref ref-type="bibr" rid="B28">Simon et&#xa0;al., 2020</xref>).</p>
<p>In recent years, there has been growing attention on the influence of gut microbiota (GM) on the development and progression of PD. According to the gut-brain axis theory, GM communicates bidirectionally with the central nervous system through neural, endocrine, immune, and metabolic pathways (<xref ref-type="bibr" rid="B3">Cryan et&#xa0;al., 2019</xref>).Alterations in the abundance of certain bacterial taxa, including a common observation of reduced levels of bacteria like lactobacilli and bifidobacteria (often associated with health benefits in some contexts) and an increase in others such as Enterobacteriaceae and Prevotella species (often linked to pro-inflammatory conditions). However, it is crucial to note that these classifications are not absolute in the context of PD (<xref ref-type="bibr" rid="B10">Hill-Burns et&#xa0;al., 2017</xref>). This dysbiosis can lead to PD progression via gut barrier disruption, chronic inflammation, and the disruption of the central nervous system resulting from the imbalanced metabolism of short-chain fatty acids (SCFAs) (<xref ref-type="bibr" rid="B23">Poewe et&#xa0;al., 2017</xref>). Holmqvist et&#xa0;al. provided direct evidence in rats that &#x3b1;-synuclein, a key pathological protein in PD, can be transmitted from the gut to the brain via the vagus nerve, suggesting a potential role of the gut in the initiation and progression of PD pathology (<xref ref-type="bibr" rid="B11">Holmqvist et&#xa0;al., 2014</xref>). Increasing evidence indicates that neurochemicals and metabolites, which may directly or indirectly impact the body&#x2019;s physiological processes and the onset and progression of PD, can be synthesized and regulated by GM (<xref ref-type="bibr" rid="B14">Jameson et&#xa0;al., 2020</xref>). GM and metabolites in PD patients differ from those of healthy individuals, with more pro-inflammatory cytokines and fewer anti-inflammatory cytokines (<xref ref-type="bibr" rid="B21">Nuzum et&#xa0;al., 2020</xref>). A study suggested that GM may correlate with the severity of PD symptoms (<xref ref-type="bibr" rid="B26">Scheperjans et&#xa0;al., 2015</xref>).</p>
<p>GM-targeted therapies have become a research focus in recent years. Probiotics, prebiotics, and fecal microbiota transplantation (FMT) are considered to be able to improve PD symptoms. Animal studies showed that FMT can alleviate motor symptoms and reduce neuroinflammation and neuronal loss in PD mouse models (<xref ref-type="bibr" rid="B29">Sun et&#xa0;al., 2018</xref>). In PD mice, FMT can mitigate GM alterations and reduce inflammation by activating microglial and astrocytic cells in the SN. FMT may work by modulating GM balance, lowering OS, enhancing anti-inflammatory responses, and improving gut-brain axis function (<xref ref-type="bibr" rid="B30">Tamtaji et&#xa0;al., 2019</xref>). Nurrahma et&#xa0;al. (2021) demonstrated that probiotic supplementation in PD mice significantly improved their motor function and increased antioxidant enzyme activities (<xref ref-type="bibr" rid="B32">Tsao et&#xa0;al., 2021</xref>). Tan et&#xa0;al. found that in PD patients, probiotics can effectively alleviate such non-motor symptoms as constipation and anxiety (<xref ref-type="bibr" rid="B31">Tan et&#xa0;al., 2021</xref>). However, whether GM-targeted treatments can effectively improve PD symptoms and their safety remains unestablished. This meta-analysis seeks to appraise the efficacy and safety of GM-targeted therapies in PD, providing references for clinical trials and theoretical support for future applications of these therapies in treating PD.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Protocol and registration</title>
<p>This study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) under the number CRD42024606415. Results were reported based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), PRISMA-extension statement, and PRISMA protocols (<xref ref-type="bibr" rid="B12">Hutton et&#xa0;al., 2015</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Literature search</title>
<p>PubMed, Embase, Cochrane, and WOS were retrieved for pertinent randomized controlled trials (RCTs) published from database inception to June 2025. The RCTs on the efficacy and safety of GM-targeted therapies in PD were included. The search terms included &#x201c;RCT,&#x201d; &#x201c;clinical trial&#x201d; clinical study,&#x201d; &#x201c;intervention study,&#x201d; &#x201c;Probiotics,&#x201d; &#x201c;Synbiotics,&#x201d; &#x201c;Antibiotic,&#x201d; and &#x201c;fecal transplantation.&#x201d; Animal studies were excluded.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Inclusion and exclusion criteria</title>
<p>Inclusion Criteria:</p>
<list list-type="simple">
<list-item>
<p>P: Patients diagnosed with PD</p>
</list-item>
<list-item>
<p>I: GM-targeted therapies, including probiotics, synbiotics, fecal transplantation, and antibiotics</p>
</list-item>
<list-item>
<p>C: Placebo or conventional treatment</p>
</list-item>
<list-item>
<p>O: Primary outcomes: Clinical effectiveness, adverse reaction rate</p>
</list-item>
<list-item>
<p>Secondary outcomes: Movement Disorder Society-Unified Parkinson Disease Rating Scale (MDS-UPDRS) I, II, III, IV; Montreal Cognitive Assessment (MoCA); Parkinson&#x2019;s Disease Questionnaire-39 (PDQ-39); Non-Motor Symptom Scale (NMSS); Mini-Mental State Examination (MMSE); Bowel movements (BMs); Geriatric Depression Scale-15 (GDS-15)</p>
</list-item>
<list-item>
<p>S: RCT</p>
</list-item>
</list>
<p>Exclusion Criteria:</p>
<p>(1) Letters, case reports, meeting abstracts, comments, and reviews; (2) Literature lacking insufficient data to calculate Standardized Mean Difference (SMD) or Relative Risk (RR) and 95% Confidence Interval (CI); (3) Studies lacking efficacy and/or safety data; (4) Studies with duplicated or overlapping data.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data extraction</title>
<p>Data were gathered independently by two researchers. Any disagreements were addressed by a third investigator. The data extracted were as follows: first author, age, study duration, study design, year of publication, country, sample size, body mass index (BMI), MDS-UPDRS I, II, III, IV, NMSS, MMSE, MoCA, PDQ-39, BMs, glutathione (GSH), use of laxatives, malondialdehyde (MDA), total antioxidant capacity (TAC), and GDS-15. When continuous variables were expressed as medians with ranges or interquartile ranges, the mean &#xb1; standard deviation was computed via a reliable mathematical method (<xref ref-type="bibr" rid="B17">Luo et&#xa0;al., 2018</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Quality assessment</title>
<p>Two researchers independently appraised the eligible RCTs via the Cochrane risk-of-bias (RoB) tool, and then cross-verified their evaluations. Seven RoB items were evaluated: incomplete outcome data, blinding of participants and personnel, allocation concealment, selective reporting, random sequence generation, and other biases. Studies were classified into three categories based on their methodological quality: &#x201c;high risk of bias,&#x201d; &#x201c;low risk of bias,&#x201d; and &#x201c;unclear bias.&#x201d; Any disagreements were resolved by a third researcher.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Review Manager 5.4.1 was employed to conduct the statistical analysis. Continuous data were expressed as weighted mean difference (WMD) or SMD; dichotomous data were reported as RR. Each indicator was reported with 95% CIs using a random-effects model. The Chi-squared (&#x3c7;2) test and inconsistency index (I<sup>2</sup>) were employed to assess the heterogeneity of the results (<xref ref-type="bibr" rid="B9">Higgins and Thompson, 2002</xref>). P value &lt; 0.1 or I<sup>2</sup> &gt; 50% indicated high heterogeneity. The publication bias was assessed by Egger&#x2019;s regression tests (<xref ref-type="bibr" rid="B5">Egger et&#xa0;al., 1997</xref>) and performed by Stata 15.1 (Stata Corp, College Station, Texas, USA). P &lt; 0.05 suggested statistically significant publication bias. Additionally, the quality of evidence for each outcome was graded as &#x201c;high&#x201d;, &#x201c;moderate&#x201d;, &#x201c;low&#x201d;, or &#x201c;very low&#x201d; under Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) (<xref ref-type="bibr" rid="B8">Guyatt et&#xa0;al., 2011</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Retrieval results</title>
<p>A total of 314 pertinent studies were selected from the databases. After eliminating 95 duplicates, 289 studies were assessed by reviewing their titles and abstracts. A total of 176 studies were excluded for being non-original, non-English, and reviews. Ultimately, 11 studies were included after a full-text reading (<xref ref-type="bibr" rid="B1">Barichella et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B30">Tamtaji et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B13">Ibrahim et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B31">Tan et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B2">Cheng et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B4">DuPont et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B7">Ghalandari et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B19">Mehrabani et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B33">Yang et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B27">Scheperjans et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B24">Ramadan et&#xa0;al., 2025</xref>) (as illustrated in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow plot.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627406-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating a systematic review process. Identification: 314 records identified from databases. Screening: 95 duplicates removed, 219 titles and abstracts screened; 201 excluded. Eligibility: 18 full-text articles assessed; 7 excluded. Synthesis: 11 records included in qualitative and quantitative analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Characteristics of included studies</title>
<p>Eleven studies with 711 patients were included in this study. A total of 381 individuals were in the intervention group and 330 were in the control group. The sample sizes ranged from a minimum of 11 to a maximum of 128 participants. The treatment duration varied between 4 weeks and 12 months. The intervention group received probiotics, such as Lactobacillus acidophilus, Bifidobacterium bifidum, Lactobacillus reuteri, and Lactobacillus fermentum, as well as fermented milk containing Lacticaseibacillus paracasei strain Shirota (LcS), FMT, and capsules containing Lactobacillus bulgaricus, Lactobacillus plantarum, Lactobacillus acidophilus, Lactobacillus casei, Bifidobacterium longum, Bifidobacterium breve, Bifidobacterium infantis, and Streptococcus thermophilus (each genus containing 1.5&#xd7;10&#xb9;&#xb9; CFU). The control group received placebo capsules, which contained maltodextrin and starch. The demographics and clinical characteristics of the selected studies are illustrated in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographics and clinical characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Author</th>
<th valign="middle" align="center">Study period</th>
<th valign="middle" align="center">Country</th>
<th valign="middle" align="center">Study design</th>
<th valign="middle" colspan="2" align="center">Patients (Intervention/Placebo)</th>
<th valign="middle" align="center">Follow-up</th>
<th valign="middle" colspan="2" align="center">Age (Intervention/Placebo)</th>
<th valign="middle" colspan="2" align="center">BMI (Intervention/Placebo)</th>
<th valign="middle" colspan="2" align="center">Disease duration (years) (Intervention/Placebo)</th>
<th valign="middle" colspan="2" align="center">Sex Male/Female (Intervention/Placebo)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Tamtaji 2018 (<xref ref-type="bibr" rid="B30">Tamtaji et&#xa0;al., 2019</xref>)</td>
<td valign="middle" align="center">2017,8-2017,12</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">12-week</td>
<td valign="middle" align="center">68.2 &#xb1; 7.8</td>
<td valign="middle" align="center">67.7 &#xb1; 10.2</td>
<td valign="middle" align="center">26.6 &#xb1; 3.2</td>
<td valign="middle" align="center">25.8 &#xb1; 3.5</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">XiaodongYang 2023 (<xref ref-type="bibr" rid="B33">Yang et&#xa0;al., 2023</xref>)</td>
<td valign="middle" align="center">2018,8-2019,01</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">65</td>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">12-week</td>
<td valign="middle" align="center">67.22 &#xb1; 6.46</td>
<td valign="middle" align="center">69.64 &#xb1; 6.41</td>
<td valign="middle" align="center">22.58 &#xb1; 3.17</td>
<td valign="middle" align="center">22.94 &#xb1; 2.95</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Yi Cheng 2023 (<xref ref-type="bibr" rid="B2">Cheng et&#xa0;al., 2023</xref>)</td>
<td valign="middle" align="center">2019,2-2019,12</td>
<td valign="middle" align="center">China</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">12-week</td>
<td valign="middle" align="center">60.52 &#xb1; 8.68</td>
<td valign="middle" align="center">62.63 &#xb1; 8.41</td>
<td valign="middle" align="center">22.33 &#xb1; 2.16</td>
<td valign="middle" align="center">22.43 &#xb1; 2.16</td>
<td valign="middle" align="center">6.29 &#xb1; 4.47</td>
<td valign="middle" align="center">6.51 &#xb1; 4.92</td>
<td valign="middle" align="center">15/12</td>
<td valign="middle" align="center">17 /10</td>
</tr>
<tr>
<td valign="middle" align="center">Ghalandari 2023 (<xref ref-type="bibr" rid="B7">Ghalandari et&#xa0;al., 2023</xref>)</td>
<td valign="middle" align="center">2022,09-2023,01</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">8-week</td>
<td valign="middle" align="center">68.07 &#xb1; 6.68</td>
<td valign="middle" align="center">68.54 &#xb1; 6.92</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7/6</td>
<td valign="middle" align="center">8/6</td>
</tr>
<tr>
<td valign="middle" align="center">DuPont 2023<break/>(<xref ref-type="bibr" rid="B4">DuPont et&#xa0;al., 2023</xref>)</td>
<td valign="middle" align="center">2019,6-2020,05</td>
<td valign="middle" align="center">USA</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">12-month</td>
<td valign="middle" align="center">68.26 &#xb1; 5.13</td>
<td valign="middle" align="center">66.24 &#xb1; 8.58</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2 &#xb1; 0.70</td>
<td valign="middle" align="center">4.76 &#xb1; 33.81</td>
<td valign="middle" align="center">5/2</td>
<td valign="middle" align="center">4/0</td>
</tr>
<tr>
<td valign="middle" align="center">Ibrahim 2020 (<xref ref-type="bibr" rid="B13">Ibrahim et&#xa0;al., 2020</xref>)</td>
<td valign="middle" align="center">2018,10-2019,02</td>
<td valign="middle" align="center">Malaysian</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center">8-week</td>
<td valign="middle" align="center">69.0 &#xb1; 7.83</td>
<td valign="middle" align="center">70.96 &#xb1; 14.30</td>
<td valign="middle" align="center">22.36 &#xb1; 3.96</td>
<td valign="middle" align="center">23.05 &#xb1; 5.88</td>
<td valign="middle" align="center">7.07 &#xb1; 3.91</td>
<td valign="middle" align="center">7.14 &#xb1; 6.41</td>
<td valign="middle" align="center">16/6</td>
<td valign="middle" align="center">17/9</td>
</tr>
<tr>
<td valign="middle" align="center">Barichella 2016 (<xref ref-type="bibr" rid="B1">Barichella et&#xa0;al., 2016</xref>)</td>
<td valign="middle" align="center">2015,06-2015,10</td>
<td valign="middle" align="center">Italyn</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">80</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">4-week</td>
<td valign="middle" align="center">71.8 &#xb1; 7.7</td>
<td valign="middle" align="center">69.5 &#xb1; 10.3</td>
<td valign="middle" align="center">24.6 &#xb1; 5.9</td>
<td valign="middle" align="center">24.7 &#xb1; 4.4</td>
<td valign="middle" align="center">10.9 &#xb1; 6.7</td>
<td valign="middle" align="center">9.6 &#xb1; 6.3</td>
<td valign="middle" align="center">41/39</td>
<td valign="middle" align="center">24/16</td>
</tr>
<tr>
<td valign="middle" align="center">Tan 2020 (<xref ref-type="bibr" rid="B31">Tan et&#xa0;al., 2021</xref>)</td>
<td valign="middle" align="center">2017,12-2019,01</td>
<td valign="middle" align="center">Malaysian</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">4-week</td>
<td valign="middle" align="center">70.9 &#xb1; 6.6</td>
<td valign="middle" align="center">68.6 &#xb1; 6.7</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">9.7 &#xb1; 5.1</td>
<td valign="middle" align="center">10.1 &#xb1; 7.6</td>
<td valign="middle" align="center">20/14</td>
<td valign="middle" align="center">28/10</td>
</tr>
<tr>
<td valign="middle" align="center">Mehrabani 2023 (<xref ref-type="bibr" rid="B19">Mehrabani et&#xa0;al., 2023</xref>)</td>
<td valign="middle" align="center">2021,05-2021,09</td>
<td valign="middle" align="center">Iran</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">12-week</td>
<td valign="middle" align="center">68.2 &#xb1; 7.68</td>
<td valign="middle" align="center">69.05 &#xb1; 8.23</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5.72 &#xb1; 2.86</td>
<td valign="middle" align="center">5.28 &#xb1; 1.76</td>
<td valign="middle" align="center">21/19</td>
<td valign="middle" align="center">20/20</td>
</tr>
<tr>
<td valign="middle" align="center">Filip Scheperjans 2024 (<xref ref-type="bibr" rid="B27">Scheperjans et&#xa0;al., 2024</xref>)</td>
<td valign="middle" align="center">2020,11-2023,06</td>
<td valign="middle" align="center">Finland</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">12-month</td>
<td valign="middle" align="center">64.9 &#xb1; 8.17</td>
<td valign="middle" align="center">62.27 &#xb1; 14.31</td>
<td valign="middle" align="center">26.28 &#xb1; 5.12</td>
<td valign="middle" align="center">25.93 &#xb1; 2.91</td>
<td valign="middle" align="center">5.727&#xb1; 2.88</td>
<td valign="middle" align="center">6.0&#xb1; 5.13</td>
<td valign="middle" align="center">16/17</td>
<td valign="middle" align="center">15/18</td>
</tr>
<tr>
<td valign="middle" align="center">Mohamed E 2025 (<xref ref-type="bibr" rid="B24">Ramadan et&#xa0;al., 2025</xref>)</td>
<td valign="middle" align="center">2022,08-2024,04</td>
<td valign="middle" align="center">Egypt</td>
<td valign="middle" align="center">RCT</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">3-month</td>
<td valign="middle" align="center">55.7 &#xb1; 5.91</td>
<td valign="middle" align="center">56.06 &#xb1; 6.2</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">16/17</td>
<td valign="middle" align="center">15/18</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RCT, Randomized Controlled Trial; BMI, Body Mass Index</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Quality assessment results</title>
<p>In this meta-analysis, the quality of the included studies was appraised via the Cochrane RoB tool. As illustrated in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f3">
<bold>3</bold>
</xref>, the risk of selection bias, performance bias, detection bias, attrition bias, and reporting bias of the nine eligible studies was evaluated as low, respectively. Regarding the selective reporting, this study (<xref ref-type="bibr" rid="B13">Ibrahim et&#xa0;al., 2020</xref>) was rated as unclear (<xref ref-type="bibr" rid="B13">Ibrahim et&#xa0;al., 2020</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Risk of bias graph.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627406-g002.tif">
<alt-text content-type="machine-generated">Bar graph showing the risk of bias across various categories in a study. All categories, including random sequence generation, allocation concealment, and others, show low risk (green), except selective reporting, which has unclear risk (yellow). Low, unclear, and high risks are color-coded as green, yellow, and red, respectively.</alt-text>
</graphic>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Risk of bias summary.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627406-g003.tif">
<alt-text content-type="machine-generated">A table shows risk of bias assessments for various studies. Columns represent assessment criteria: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. Rows list studies by author and year. Each cell contains a green circle with a plus symbol, except for Ibrahim 2020 under selective reporting, marked with a yellow circle containing a question mark.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Meta-analysis results</title>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>Change in MDS-UPDRS I (Movement Disorders Society-Unified Parkinson's Disease Rating Scale)</title>
<p>Four RCTs on MDS-UPDRS I were included. The meta-analysis showed no significant difference in the change of MDS-UPDRS I scores between the GM-targeted therapy group and the control group (SMD: -0.64, 95% CI: -1.42 to 0.13, P = 0.1) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>), indicating that GM-targeted therapy had no significant effect on MDS-UPDRS I in PD patients.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Effects of gut microbiota-targeted therapies on clinical and biochemical profiles in Parkinson&#x2019;s disease. <bold>(A)</bold> MDS-UPDRS I Forest plot, <bold>(B)</bold> MDS-UPDRS II Forest plot, <bold>(C)</bold> MDS-UPDRS III Forest plot, <bold>(D)</bold> MDS-UPDRS IV Forest plot, <bold>(E)</bold> Non-motor symptom scale Forest plot, <bold>(F)</bold> MMSE Forest plot, <bold>(G)</bold> MoCA Forest plot, <bold>(H)</bold> PDQ-39 Forest plot, <bold>(I)</bold> BMsForest plot, <bold>(J)</bold> Use of laxatives Forest plot, <bold>(K)</bold> TAC Forest plot, <bold>(L)</bold> GSH Forest plot, <bold>(M)</bold> MDA Forest plot, <bold>(N)</bold> GDS-15 Forest plot. Note: Clinical outcomes: motor symptoms, constipation, anxiety, cognitive; Biochemical outcomes: blood MDA, TAC, GSH, GDS-15 levels.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1627406-g004.tif">
<alt-text content-type="machine-generated">Forest plot showing the effects of targeted therapy for gut microbiota across various studies (A-N). Each panel displays study results, mean differences, confidence intervals, and heterogeneity statistics. Studies compare treatment versus control, with some favoring the targeted therapy. Results differ across panels, indicating varying effectiveness.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Change in MDS-UPDRS II</title>
<p>Six RCTs on MDS-UPDRS II were included. The difference between the GM-targeted therapy group and the control group in MDS-UPDRS II was statistically significant (SMD: -0.28, 95%CI: -0.70 to 0.14, P = 0.19) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). Therefore, GM-targeted therapies could not notably influence MDS-UPDRS II in PD patients.</p>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Change in MDS-UPDRS III</title>
<p>Six RCTs on MDS-UPDRS III were included. The result showed that the decrease in MDS-UPDRS III in the GM-targeted therapy group was substantially greater (SMD: -0.34, 95%CI: -0.57 to -0.11, P = 0.004) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>) in contrast to the control group. Thus, GM-targeted therapies can notably improve MDS-UPDRS III in PD patients.</p>
</sec>
<sec id="s3_4_4">
<label>3.4.4</label>
<title>Change in MDS-UPDRS IV</title>
<p>Four RCTs on MDS-UPDRS IV were included. The difference between the GM-targeted therapy group and the control group in MDS-UPDRS IV was statistically significant (SMD: -0.08, 95% CI: -0.82 to 0.66, P = 0.84) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>). Therefore, GM-targeted therapies could not notably influence MDS-UPDRS IV in PD patients.</p>
</sec>
<sec id="s3_4_5">
<label>3.4.5</label>
<title>Change in Non-Motor Symptom Scale</title>
<p>Four RCTs on NMSS were included. The meta-analysis showed no significant difference in the change of NMSS scores between the GM-targeted therapy group and the control group (SMD: -0.11, 95% CI: -0.94 to 0.72, P = 0.79) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>), indicating that GM-targeted therapy had no significant effect on NMSS in PD patients.</p>
</sec>
<sec id="s3_4_6">
<label>3.4.6</label>
<title>Change in Mini-Mental State Examination</title>
<p>Two RCTs on MMSE were included. The difference between the GM-targeted therapy group and the control group in MMSE was statistically significant (SMD: -0.01, 95% CI: -0.30 to 0.29, P = 0.97) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). Thus, GM-targeted therapies could not notably impact cognitive function in PD patients.</p>
</sec>
<sec id="s3_4_7">
<label>3.4.7</label>
<title>Change in Montreal Cognitive Assessment</title>
<p>Three RCTs on MoCA were included. The difference between the GM-targeted therapy group and the control group in Moca was statistically significant (SMD: 0.04, 95%CI: -0.53 to 0.60, P = 0.90) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4G</bold>
</xref>). Thus, GM-targeted therapies could not notably impact cognitive function in PD patients.</p>
</sec>
<sec id="s3_4_8">
<label>3.4.8</label>
<title>Change in Parkinson's Disease Questionnaire-39</title>
<p>Five RCTs on PDQ-39 were included. The meta-analysis showed no significant difference in the change of PDQ-39 scores between the GM-targeted therapy group and the control group (SMD: -0.19, 95% CI: -0.58 to 0.20, P = 0.34) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4H</bold>
</xref>), indicating that GM-targeted therapy had no significant effect on improving PDQ-39 scores in PD patients.</p>
</sec>
<sec id="s3_4_9">
<label>3.4.9</label>
<title>Change in bowel movements</title>
<p>Five RCTs on BMs were included. The result demonstrated that the increase in BMs in the GM-targeted therapy group was substantially greater (SMD: 1.27, 95%CI: 0.35 to 2.20, P = 0.007) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4I</bold>
</xref>) in contrast to the control group. Thus, GM-targeted therapies can greatly improve BMs in PD patients.</p>
</sec>
<sec id="s3_4_10">
<label>3.4.10</label>
<title>Change in use of laxatives</title>
<p>Two RCTs on the use of laxatives were included. The result demonstrated that the decrease in the use of laxatives in the GM-targeted therapy group was substantially greater (SMD: -0.33, 95% CI: -0.65 to -0.02, P = 0.04) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4J</bold>
</xref>) in contrast to the control group, suggesting that GM-targeted therapies can reduce the frequency of laxative use in PD patients.</p>
</sec>
<sec id="s3_4_11">
<label>3.4.11</label>
<title>Change in TAC (plasma total antioxidant capacity)</title>
<p>Two RCTs on TAC were included. The difference between the GM-targeted therapy group and the control group in TAC was statistically significant (SMD: 0.29, 95% CI: -0.04 TO 0.62, P = 0.09) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4K</bold>
</xref>). Thus, GM-targeted therapies could not improve TAC in PD patients.</p>
</sec>
<sec id="s3_4_12">
<label>3.4.12</label>
<title>Change in GSH (total glutathione)</title>
<p>Two RCTs on GSH were included. The difference between the GM-targeted therapy group and the control group in GSH was statistically significant (SMD: 0.51; 95% CI: -0.02, 1.03; P = 0.06) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4L</bold>
</xref>). Thus, GM-targeted therapies could not improve GSH in PD patients.</p>
</sec>
<sec id="s3_4_13">
<label>3.4.13</label>
<title>Change in MDA (malondialdehyde)</title>
<p>Two RCTs on MDA were included. The result showed that the decrease in MDA in the blood in the GM-targeted therapy group was substantially greater in contrast to the control group (SMD: -0.69; 95% CI: -1.23, -0.15; P = 0.01) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4M</bold>
</xref>). Thus, GM-targeted therapies can reduce MDA levels in the blood of PD patients.</p>
</sec>
<sec id="s3_4_14">
<label>3.4.14</label>
<title>Change in Geriatric Depression Scale-15</title>
<p>Two RCTs on GDS-15 were included. The difference between the GM-targeted therapy group and the control group in GDS-15 was statistically significant (SMD: -0.37; 95% CI: -0.87, 0.12; P = 0.14) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4N</bold>
</xref>). Thus, GM-targeted therapies could not notably impact GDS-15 in PD patients.</p>
</sec>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Assessment of publication bias</title>
<p>Egger&#x2019;s test was performed for MDS-UPDRS I, MDS-UPDRS II, MDS-UPDRS III, the Non-motor Symptom Scale, PDQ-39, and BMs. The results indicated no evidence of publication bias for MDS-UPDRS I (P = 1.0), MDS-UPDRS II (P = 0.747), MDS-UPDRS III (P = 0.861), the Non-motor Symptom Scale (P = 0.404), PDQ-39 (P = 0.298), or BMs (P = 0.388).</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>GRADE rating</title>
<p>As shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, the quality of evidence for MDS-UPDRS II, MDS-UPDRS IV, MoCA, PDQ-39, GSH, and MDA outcomes (PSA response rate) was graded as low. The quality of evidence for MDS-UPDRS I, MDS-UPDRS III, NMSS, MMSE, BMs, use of laxatives, TAC, and GDS-15 outcomes (PSA response rate) was graded as moderate. Based on the results above, the evidence for the effects of probiotics on improving MDS-UPDRS III scores, BMs, and use of laxatives in PD patients was of moderate certainty. However, the reliability of the results for other outcomes was compromised by study heterogeneity and publication bias, which led to a certain degree of downgrading in the quality of evidence. Therefore, further studies are warranted to validate these findings.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>RADE rating of each outcome.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">No. of studies</th>
<th valign="middle" align="left">Outcomes</th>
<th valign="middle" align="left">SMD</th>
<th valign="middle" align="left">95%CI</th>
<th valign="middle" align="left">The overall validity p-value</th>
<th valign="middle" align="left">
<italic>I</italic>
<sup>2</sup>; P value</th>
<th valign="middle" align="left">Risk of bias</th>
<th valign="middle" align="left">Inconsistency I2</th>
<th valign="middle" align="left">Indirectness</th>
<th valign="middle" align="left">Imprecision p&lt;0.001</th>
<th valign="middle" align="left">Publication bias</th>
<th valign="middle" align="left">Plausible confounding</th>
<th valign="middle" align="left">Magnitude of effect</th>
<th valign="middle" align="left">Dose-response gradient</th>
<th valign="middle" align="left">GRADE</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="center">4</td>
<td valign="middle" rowspan="2" align="left">Change in MDS-UPDRS I</td>
<td valign="middle" rowspan="2" align="left">-0.64</td>
<td valign="middle" rowspan="2" align="left">-1.42,0.13</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">89%;P&lt;0.00001</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="left">Undetected</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">6</td>
<td valign="middle" rowspan="2" align="left">Change in MDS-UPDRS II</td>
<td valign="middle" rowspan="2" align="left">-0.28</td>
<td valign="middle" rowspan="2" align="left">-0.70, 0.14</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">73%; P = 0.002</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">Undetected</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">6</td>
<td valign="middle" rowspan="2" align="center">Change in MDS-UPDRS III</td>
<td valign="middle" rowspan="2" align="left">-0.34</td>
<td valign="middle" rowspan="2" align="left">-0.57,-0.11</td>
<td valign="middle" rowspan="2" align="center">Valid</td>
<td valign="middle" rowspan="2" align="left">15%; P = 0.32</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">No serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">Undetected</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" rowspan="2" align="center">Change in MDS-UPDRS IV</td>
<td valign="middle" rowspan="2" align="left">-0.08</td>
<td valign="middle" rowspan="2" align="left">-0.82,0.66</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">81%;P=0.02</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">NA</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">4</td>
<td valign="middle" rowspan="2" align="left">Change in Non-motor symptom scale</td>
<td valign="middle" rowspan="2" align="left">-0.11</td>
<td valign="middle" rowspan="2" align="left">-0.94,0.72</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">86%;P&lt;0.0001</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="left">Undetected</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" rowspan="2" align="left">Change in MMSE</td>
<td valign="middle" rowspan="2" align="left">-0.01</td>
<td valign="middle" rowspan="2" align="left">-0.30,0.29</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">0%; P = 0.70</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">No serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">NA</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">3</td>
<td valign="middle" rowspan="2" align="left">Change in MoCA</td>
<td valign="middle" rowspan="2" align="left">0.04</td>
<td valign="middle" rowspan="2" align="left">-0.53,0.60</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">74%; P = 0.02</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">Undetected</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">5</td>
<td valign="middle" rowspan="2" align="left">Change in PDQ-39</td>
<td valign="middle" rowspan="2" align="left">-0.19</td>
<td valign="middle" rowspan="2" align="left">-0.58,0.20</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">59%; P = 0.05</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">Undetected</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">5</td>
<td valign="middle" rowspan="2" align="left">Change in BMs</td>
<td valign="middle" rowspan="2" align="left">1.27</td>
<td valign="middle" rowspan="2" align="left">0.35,2.2</td>
<td valign="middle" rowspan="2" align="center">Valid</td>
<td valign="middle" rowspan="2" align="left">92%; P&lt;0.00001</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="left">Undetected</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" rowspan="2" align="left">Change in Use of laxatives</td>
<td valign="middle" rowspan="2" align="left">-0.33</td>
<td valign="middle" rowspan="2" align="left">-0.65,-0.02</td>
<td valign="middle" rowspan="2" align="center">Valid</td>
<td valign="middle" rowspan="2" align="left">0%; P = 0.44</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">No serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">NA</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" rowspan="2" align="left">Change in TAC</td>
<td valign="middle" rowspan="2" align="left">0.29</td>
<td valign="middle" rowspan="2" align="left">-0.04,0.62</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">0%; P = 0.98</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">No serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">NA</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" rowspan="2" align="left">Change in GSH</td>
<td valign="middle" rowspan="2" align="left">0.51</td>
<td valign="middle" rowspan="2" align="left">-0.02,1.03</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">57%; P = 0.13</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">NA</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" rowspan="2" align="left">Change in MDA</td>
<td valign="middle" rowspan="2" align="left">-0.69</td>
<td valign="middle" rowspan="2" align="left">-1.23,-0.15</td>
<td valign="middle" rowspan="2" align="center">Valid</td>
<td valign="middle" rowspan="2" align="left">58%; P = 0.12</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">Serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">NA</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Low</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">2</td>
<td valign="middle" rowspan="2" align="left">Change in GDS-15</td>
<td valign="middle" rowspan="2" align="left">-0.37</td>
<td valign="middle" rowspan="2" align="left">-0.87,0.12</td>
<td valign="middle" rowspan="2" align="center">Null</td>
<td valign="middle" rowspan="2" align="left">0%; P = 0.41</td>
<td valign="middle" rowspan="2" align="left">No serious risk</td>
<td valign="middle" rowspan="2" align="center">No serious inconsistency</td>
<td valign="middle" rowspan="2" align="center">No serious</td>
<td valign="middle" rowspan="2" align="center">Serious</td>
<td valign="middle" rowspan="2" align="left">NA</td>
<td valign="middle" align="left">Would not</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">No</td>
<td valign="middle" rowspan="2" align="left">Moderate</td>
</tr>
<tr>
<td valign="middle" align="left">reduce effect</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SMD, Standard Mean Difference; 95%CI, 95% Confidence Interval; I<sup>2,</sup> I squared, GRADE, Grading of Recommendations Assessment, Development and Evaluation, MDS-UPDRS, Movement Disorders Society-Unified Parkinson's Disease Rating Scale, MMSE, Mini-Mental State Examination, Moca, Montreal Cognitive Assessment; PDQ-39, Parkinson's Disease Questionnaire-39; BMs, Bowel Movements, TAC, Plasma total antioxidant capacity, GSH, total glutathione, MDA: malondialdehyde; GDS-15, Geriatric Depression Scale-15, NA, Not applicable</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Clinical trials revealed that probiotics can alleviate gastrointestinal issues in PD patients (<xref ref-type="bibr" rid="B31">Tan et&#xa0;al., 2021</xref>). A study by Cryan et&#xa0;al. suggested that probiotics may reduce neuroinflammation induced by GM and promote the survival of DNs (<xref ref-type="bibr" rid="B3">Cryan et&#xa0;al., 2019</xref>). Additionally, an RCT by Tamtaji et&#xa0;al. (2019) demonstrated that probiotics containing bifidobacteria and lactobacilli significantly reduced MDS-UPDRS scores in PD patients, indicating their potential to improve motor symptoms. Probiotics can alleviate both motor and non-motor symptoms by regulating the vagus nerve and gut hormone secretion, promoting the synthesis of neurotransmitters such as serotonin and dopamine (Zhou et&#xa0;al., 2019).</p>
<p>Furthermore, probiotics effectively alleviate such non-motor symptoms as constipation and anxiety (<xref ref-type="bibr" rid="B30">Tamtaji et&#xa0;al., 2019</xref>) by balancing GM, reducing intestinal inflammation, and improving intestinal barrier function (<xref ref-type="bibr" rid="B20">Mertsalmi et&#xa0;al., 2017</xref>). A study suggested that probiotics can improve sleep quality in PD patients. Sun et&#xa0;al. (2018) found in an animal test that probiotics can modulate GM metabolism by increasing the production of SCFAs, thereby raising levels of sleep-related neurotransmitters, such as serotonin (<xref ref-type="bibr" rid="B29">Sun et&#xa0;al., 2018</xref>). Moreover, the immunoregulatory function of probiotics in multiple sclerosis (MS) has been confirmed. A study found that probiotics can improve MS pathology by decreasing pro-inflammatory cytokines, which include TNF-&#x3b1; and IL-1&#x3b2; (<xref ref-type="bibr" rid="B31">Tan et&#xa0;al., 2021</xref>).</p>
<p>This study appraised the efficacy and safety of GM-targeted therapies in PD, aiming to provide insights for clinical treatment. GM-targeted therapies can significantly improve MDS-UPDRS I, MDS-UPDRS III, NMSS, PDQ-39, BMs, use of laxatives, and MDA, but had no clear effect on MDS-UPDRS II, MDS-UPDRS IV, MMSE, MoCA, TAC, GSH, or GDS-15. Considering this factor, we degraded the corresponding evidence in the GRADE analysis to provide more objective findings. Wu et&#xa0;al. conducted a meta-analysis on the efficacy and safety of probiotics in treating mild cognitive impairment and Alzheimer&#x2019;s disease. It revealed that probiotics outperformed the control group in improving the MMSE scores, with the difference between the two groups being statistically significant. The difference in the incidence of adverse events between the two groups was not statistically significant. Similarly, the subgroup analysis revealed no statistically significant difference in MMSE scores between the single-strain probiotics group and the control group, while the composite probiotics outperformed the control group. In this study, we not only analyzed MMSE and MoCA but also examined PD-related motor and non-motor symptoms, filling data gaps from previous studies. However, our study found no significant difference in the effects of probiotics-targeted therapies on MMSE, possibly due to variations in the number of literature. Numerous studies demonstrated no significant differences in the incidence and type of adverse events between the FMT group and the control group. FMT treatment typically lasts 24 to 48 hours. Common gastrointestinal symptoms include discomfort, bloating, diarrhea, constipation, and fever. These symptoms were mild and self-limiting, usually resolving spontaneously within two days (<xref ref-type="bibr" rid="B22">Paramsothy et&#xa0;al., 2017</xref>). Despite probiotics being generally considered safe, their long-term risks remain unclear and require validation in large-scale, long-term follow-up studies.</p>
<p>A study by Hill-Burns et&#xa0;al. (2017) demonstrated significant changes in GM composition in PD patients, with beneficial bacteria (such as lactobacilli and bifidobacteria) reduced and potentially pathogenic bacteria (such as Enterobacteriaceae and Prevotella) greatly increased (<xref ref-type="bibr" rid="B10">Hill-Burns et&#xa0;al., 2017</xref>). This dysbiosis may impact PD pathogenesis via two mechanisms. Firstly, the initiation of neuroinflammation contributes to PD pathogenesis. The key pathological hallmarks of PD are neuroinflammation and the loss of midbrain dopamine neurons in the nigrostriatal pathway. Lipopolysaccharide (LPS) is considered a key trigger for neuroinflammation (<xref ref-type="bibr" rid="B15">Keshavarzian et&#xa0;al., 2015</xref>). Studies indicated that LPS exacerbated neurodegeneration by activating microglia and releasing pro-inflammatory cytokines, which included TNF-&#x3b1; and IL-6. Sun et&#xa0;al. (2018) found substantially reduced levels of SCFAs in PD patients. This reduction may compromise gut barrier integrity, allowing toxic metabolites to pass through the blood-brain barrier and aggravate brain inflammation. An animal test conducted by Sun et&#xa0;al. (2018) showed that FMT could restore SCFAs levels and reduce inflammation, thereby greatly improving motor function (<xref ref-type="bibr" rid="B29">Sun et&#xa0;al., 2018</xref>). Secondly, gut barrier dysfunction is considered a potential pathogenic mechanism of PD. In PD patients, compromised gut barrier integrity may lead to the misfolding of the &#x3b1;-synuclein protein. The increased intestinal permeability is mainly caused by &#x3b1;-syn expression, the presence of E. coli, and elevated levels of lipopolysaccharide-binding protein (<xref ref-type="bibr" rid="B6">Forsyth et&#xa0;al., 2011</xref>). The supplementation of probiotics and prebiotics can help restore gut barrier function.</p>
<p>This study has several limitations. A total of 11 RCTs were included, with sample sizes ranging from 11 to 128 participants, which may cause small sample size effects, thereby limiting the generalizability of the findings. Future studies can increase sample sizes or conduct multi-center studies to improve quality. Significant heterogeneity was observed in this study for the following outcomes: change in MDS-UPDRS I, change in MDS-UPDRS II, change in MDS-UPDRS IV, change in NMSS, change in MoCA, change in PDQ-39, change in BMs, change in GSH, and change in MDA. Although substantial heterogeneity was observed in several analyses, the limited number of studies included for each outcome precluded reliable subgroup analyses (such as by intervention type, treatment duration, or disease severity) to explore sources of heterogeneity. With the publication of additional studies in the future, subgroup analyses or meta-regression may allow a more in-depth investigation of these sources. However, the findings were objectively interpreted by considering heterogeneity in the GRADE analysis. Publication bias was observed in changes in BMs, potentially due to the small sample size and regional bias. Most studies were conducted in Europe and America, with fewer from Asia and none from other regions such as North America, Africa, or South America. This may introduce regional bias and limit the applicability of the findings to populations with different diets or genetic backgrounds. Future research should encourage more multi-center collaborations on a global scale.</p>
<p>Since regional bias may contribute to publication bias, more multicenter and international studies involving greater sample sizes are required to reduce publication bias. Although most adverse events reported in this meta-analysis were mild (mainly gastrointestinal symptoms such as bloating and diarrhea) and were generally self-limiting, it should be noted that the majority of included studies had short follow-up periods and lacked long-term safety data. Caution is still warranted regarding prolonged use of probiotics, the long-term risks of FMT (such as potential infection transmission or immune effects), and complex metabolic impacts from certain strains. Future large-scale, long-term RCTs should prioritize the assessment of the long-term safety and tolerability of these interventions.</p>
<p>Furthermore, the functional consequences of these microbial shifts are complex and not fully understood. For instance, while some species of Lactobacillus are commonly used as probiotics and considered beneficial, certain strains have been shown to possess decarboxylase activity capable of metabolizing exogenous levodopa (<xref ref-type="bibr" rid="B18">Maini Rekdal et&#xa0;al., 2019</xref>). This may potentially reduce the bioavailability of the primary medication for PD, highlighting that the effects of gut microbiota on PD are not straightforward and may be strain-specific and context-dependent. Therefore, simplistic categorization of bacteria as &#x201c;beneficial&#x201d; or &#x201c;pathogenic&#x201d; in PD is misleading. Future research and therapies should move beyond taxonomic associations to focus on specific bacterial functions, host-microbe interactions, and their net effect on drug metabolism and disease progression.</p>
</sec>
<sec id="s5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>In this study, GM-targeted therapies were found to significantly improve MDS-UPDRS III, BMs, use of laxatives, and MDA in PD patients. According to the GRADE assessment, change in MDS-UPDRS I, change in MDS-UPDRS III, change in NMSS, change in MMSE, change in BMs, change in use of laxatives, change in TAC, and change in GDS-15 (PSA response rate) were rated as moderate evidence. Given the limitations of small sample sizes, potential heterogeneity, and publication bias, future studies should involve larger, multi-center RCTs to further evaluate the long-term efficacy and safety of GM-targeted therapies in patients with PD.</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/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XG: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JT: Writing &#x2013; original draft. CC: Investigation, Writing &#x2013; review &amp; editing.</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>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Barichella</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Pacchetti</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Bolliri</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Cassani</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Iorio</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Pusani</surname> <given-names>C.</given-names>
</name>
<etal/>
</person-group>. (<year>2016</year>). <article-title>Probiotics and prebiotic fiber for constipation associated with Parkinson disease</article-title>. <source>Neurology.</source> <volume>87</volume>, <fpage>1274</fpage>&#x2013;<lpage>1280</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1212/WNL.0000000000003127</pub-id>, PMID: <pub-id pub-id-type="pmid">27543643</pub-id></citation></ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cheng</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>Q.</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Ruan</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Ying</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Efficacy of fecal microbiota transplantation in patients with Parkinson's disease: clinical trial results from a randomized, placebo-controlled design</article-title>. <source>Gut Microbes</source> <volume>15</volume>, <elocation-id>2284247</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/19490976.2023.2284247</pub-id>, PMID: <pub-id pub-id-type="pmid">38057970</pub-id></citation></ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cryan</surname> <given-names>J. F.</given-names>
</name>
<name>
<surname>O'Riordan</surname> <given-names>K. J.</given-names>
</name>
<name>
<surname>Cowan</surname> <given-names>C. S. M.</given-names>
</name>
<name>
<surname>Sandhu</surname> <given-names>K. V.</given-names>
</name>
<name>
<surname>Bastiaanssen</surname> <given-names>T. F. S.</given-names>
</name>
<name>
<surname>Boehme</surname> <given-names>M.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>The microbiota-gut-brain axis</article-title>. <source>Physiol. Rev.</source> <volume>99</volume>, <fpage>1877</fpage>&#x2013;<lpage>2013</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1152/physrev.00018.2018</pub-id>, PMID: <pub-id pub-id-type="pmid">31460832</pub-id></citation></ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>DuPont</surname> <given-names>H. L.</given-names>
</name>
<name>
<surname>Suescun</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>Z. D.</given-names>
</name>
<name>
<surname>Brown</surname> <given-names>E. L.</given-names>
</name>
<name>
<surname>Essigmann</surname> <given-names>H. T.</given-names>
</name>
<name>
<surname>Alexander</surname> <given-names>A. S.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Fecal microbiota transplantation in Parkinson's disease-A randomized repeat-dose, placebo-controlled clinical pilot study</article-title>. <source>Front. neurology.</source> <volume>14</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fneur.2023.1104759</pub-id>, PMID: <pub-id pub-id-type="pmid">36937520</pub-id></citation></ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Egger</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Davey Smith</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Schneider</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Minder</surname> <given-names>C.</given-names>
</name>
</person-group> (<year>1997</year>). <article-title>Bias in meta-analysis detected by a simple, graphical test</article-title>. <source>Bmj.</source> <volume>315</volume>, <fpage>629</fpage>&#x2013;<lpage>634</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmj.315.7109.629</pub-id>, PMID: <pub-id pub-id-type="pmid">9310563</pub-id></citation></ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Forsyth</surname> <given-names>C. B.</given-names>
</name>
<name>
<surname>Shannon</surname> <given-names>K. M.</given-names>
</name>
<name>
<surname>Kordower</surname> <given-names>J. H.</given-names>
</name>
<name>
<surname>Voigt</surname> <given-names>R. M.</given-names>
</name>
<name>
<surname>Shaikh</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Jaglin</surname> <given-names>J. A.</given-names>
</name>
<etal/>
</person-group>. (<year>2011</year>). <article-title>Increased intestinal permeability correlates with sigmoid mucosa alpha-synuclein staining and endotoxin exposure markers in early Parkinson's disease</article-title>. <source>PloS One</source> <volume>6</volume>, <elocation-id>e28032</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0028032</pub-id>, PMID: <pub-id pub-id-type="pmid">22145021</pub-id></citation></ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ghalandari</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Assarzadegan</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Habibi</surname> <given-names>S. A. H.</given-names>
</name>
<name>
<surname>Esmaily</surname> <given-names>H.</given-names>
</name>
<name>
<surname>Malekpour</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Efficacy of probiotics in improving motor function and alleviating constipation in parkinson's disease: A randomized controlled trial</article-title>. <source>Iran J. Pharm. Res.</source> <volume>22</volume>, <fpage>e137840</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5812/ijpr-137840</pub-id>, PMID: <pub-id pub-id-type="pmid">38116573</pub-id></citation></ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guyatt</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Oxman</surname> <given-names>A. D.</given-names>
</name>
<name>
<surname>Akl</surname> <given-names>E. A.</given-names>
</name>
<name>
<surname>Kunz</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Vist</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Brozek</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2011</year>). <article-title>GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings ta bles. J</article-title>. <source>Clin. Epidemiol.</source> <volume>64</volume>, <fpage>383</fpage>&#x2013;<lpage>394</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jclinepi.2010.04.026</pub-id>, PMID: <pub-id pub-id-type="pmid">21195583</pub-id></citation></ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Higgins</surname> <given-names>J. P.</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>S. G.</given-names>
</name>
</person-group> (<year>2002</year>). <article-title>Quantifying heterogeneity in a meta-analysis</article-title>. <source>Stat. Med.</source> <volume>21</volume>, <fpage>1539</fpage>&#x2013;<lpage>1558</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/sim.1186</pub-id>, PMID: <pub-id pub-id-type="pmid">12111919</pub-id></citation></ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hill-Burns</surname> <given-names>E. M.</given-names>
</name>
<name>
<surname>Debelius</surname> <given-names>J. W.</given-names>
</name>
<name>
<surname>Morton</surname> <given-names>J. T.</given-names>
</name>
<name>
<surname>Wissemann</surname> <given-names>W. T.</given-names>
</name>
<name>
<surname>Lewis</surname> <given-names>M. R.</given-names>
</name>
<name>
<surname>Wallen</surname> <given-names>Z. D.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Parkinson's disease and Parkinson's disease medications have distinct signatures of the gut microbiome</article-title>. <source>Mov Disord.</source> <volume>32</volume>, <fpage>739</fpage>&#x2013;<lpage>749</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/mds.26942</pub-id>, PMID: <pub-id pub-id-type="pmid">28195358</pub-id></citation></ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Holmqvist</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Chutna</surname> <given-names>O.</given-names>
</name>
<name>
<surname>Bousset</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Aldrin-Kirk</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Bj&#xf6;rklund</surname> <given-names>T.</given-names>
</name>
<etal/>
</person-group>. (<year>2014</year>). <article-title>Direct evidence of Parkinson pathology spread from the gastrointestinal tract to the brain in rats</article-title>. <source>Acta Neuropathol.</source> <volume>128</volume>, <fpage>805</fpage>&#x2013;<lpage>820</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00401-014-1343-6</pub-id>, PMID: <pub-id pub-id-type="pmid">25296989</pub-id></citation></ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hutton</surname> <given-names>B.</given-names>
</name>
<name>
<surname>Salanti</surname> <given-names>G.</given-names>
</name>
<name>
<surname>Caldwell</surname> <given-names>D. M.</given-names>
</name>
<name>
<surname>Chaimani</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Schmid</surname> <given-names>C. H.</given-names>
</name>
<name>
<surname>Cameron</surname> <given-names>C.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations</article-title>. <source>Ann. Intern. Med.</source> <volume>162</volume>, <fpage>777</fpage>&#x2013;<lpage>784</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.7326/m14-2385</pub-id>, PMID: <pub-id pub-id-type="pmid">26030634</pub-id></citation></ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ibrahim</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Ali</surname> <given-names>R. A. R.</given-names>
</name>
<name>
<surname>Manaf</surname> <given-names>M. R. A.</given-names>
</name>
<name>
<surname>Ahmad</surname> <given-names>N.</given-names>
</name>
<name>
<surname>Tajurruddin</surname> <given-names>F. W.</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>W. Z.</given-names>
</name>
<etal/>
</person-group>. (<year>2020</year>). <article-title>Multi-strain probiotics (Hexbio) containing MCP BCMC strains improved constipation and gut motility in Parkinson's disease: A randomised controlled trial</article-title>. <source>PloS One</source> <volume>15</volume>, <elocation-id>e0244680</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0244680</pub-id>, PMID: <pub-id pub-id-type="pmid">33382780</pub-id></citation></ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jameson</surname> <given-names>K. G.</given-names>
</name>
<name>
<surname>Olson</surname> <given-names>C. A.</given-names>
</name>
<name>
<surname>Kazmi</surname> <given-names>S. A.</given-names>
</name>
<name>
<surname>Hsiao</surname> <given-names>E. Y.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Toward understanding microbiome-neuronal signaling</article-title>. <source>Mol. Cell.</source> <volume>78</volume>, <fpage>577</fpage>&#x2013;<lpage>583</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.molcel.2020.03.006</pub-id>, PMID: <pub-id pub-id-type="pmid">32275853</pub-id></citation></ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Keshavarzian</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Green</surname> <given-names>S. J.</given-names>
</name>
<name>
<surname>Engen</surname> <given-names>P. A.</given-names>
</name>
<name>
<surname>Voigt</surname> <given-names>R. M.</given-names>
</name>
<name>
<surname>Naqib</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Forsyth</surname> <given-names>C. B.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Colonic bacterial composition in Parkinson's disease</article-title>. <source>Mov Disord.</source> <volume>30</volume>, <fpage>1351</fpage>&#x2013;<lpage>1360</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/mds.26307</pub-id>, PMID: <pub-id pub-id-type="pmid">26179554</pub-id></citation></ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lang</surname> <given-names>A. E.</given-names>
</name>
</person-group> (<year>2011</year>). <article-title>A critical appraisal of the premotor symptoms of Parkinson's disease: potential usefulness in early diagnosis and design of neuroprotective trials</article-title>. <source>Mov Disord.</source> <volume>26</volume>, <fpage>775</fpage>&#x2013;<lpage>783</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/mds.23609</pub-id>, PMID: <pub-id pub-id-type="pmid">21484865</pub-id></citation></ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Luo</surname> <given-names>D.</given-names>
</name>
<name>
<surname>Wan</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Tong</surname> <given-names>T.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range</article-title>. <source>Stat. Methods Med. Res.</source> <volume>27</volume>, <fpage>1785</fpage>&#x2013;<lpage>1805</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/0962280216669183</pub-id>, PMID: <pub-id pub-id-type="pmid">27683581</pub-id></citation></ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maini Rekdal</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Bess</surname> <given-names>E. N.</given-names>
</name>
<name>
<surname>Bisanz</surname> <given-names>J. E.</given-names>
</name>
<name>
<surname>Turnbaugh</surname> <given-names>P. J.</given-names>
</name>
<name>
<surname>Balskus</surname> <given-names>E. P.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Discovery and inhibition of an interspecies gut bacterial pathway for Levodopa metabolism</article-title>. <source>Science.</source> <volume>364</volume>, <elocation-id>eaax9562</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aau6323</pub-id>, PMID: <pub-id pub-id-type="pmid">31196984</pub-id></citation></ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mehrabani</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Khorvash</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Heidari</surname> <given-names>Z.</given-names>
</name>
<name>
<surname>Tajabadi-Ebrahimi</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Amani</surname> <given-names>R.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>The effects of synbiotic supplementation on oxidative stress markers, mental status, and quality of life in patients with Parkinson?s disease: A double-blind, placebo-controlled, randomized controlled trial</article-title>. <source>J. Funct. Foods.</source> <volume>100</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jff.2022.105397</pub-id>
</citation></ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mertsalmi</surname> <given-names>T. H.</given-names>
</name>
<name>
<surname>Aho</surname> <given-names>V. T. E.</given-names>
</name>
<name>
<surname>Pereira</surname> <given-names>P. A. B.</given-names>
</name>
<name>
<surname>Paulin</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Pekkonen</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Auvinen</surname> <given-names>P.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>More than constipation - bowel symptoms in Parkinson's disease and their connection to gut microbiota</article-title>. <source>Eur. J. Neurol.</source> <volume>24</volume>, <fpage>1375</fpage>&#x2013;<lpage>1383</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/ene.13398</pub-id>, PMID: <pub-id pub-id-type="pmid">28891262</pub-id></citation></ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nuzum</surname> <given-names>N. D.</given-names>
</name>
<name>
<surname>Loughman</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Szymlek-Gay</surname> <given-names>E. A.</given-names>
</name>
<name>
<surname>Hendy</surname> <given-names>A.</given-names>
</name>
<name>
<surname>Teo</surname> <given-names>W. P.</given-names>
</name>
<name>
<surname>Macpherson</surname> <given-names>H.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Gut microbiota differences between healthy older adults and individuals with Parkinson's disease: A systematic review</article-title>. <source>Neurosci. Biobehav. Rev.</source> <volume>112</volume>, <fpage>227</fpage>&#x2013;<lpage>241</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.neubiorev.2020.02.003</pub-id>, PMID: <pub-id pub-id-type="pmid">32032654</pub-id></citation></ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Paramsothy</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Kamm</surname> <given-names>M. A.</given-names>
</name>
<name>
<surname>Kaakoush</surname> <given-names>N. O.</given-names>
</name>
<name>
<surname>Walsh</surname> <given-names>A. J.</given-names>
</name>
<name>
<surname>van den Bogaerde</surname> <given-names>J.</given-names>
</name>
<name>
<surname>Samuel</surname> <given-names>D.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: a randomised placebo-controlled trial</article-title>. <source>Lancet.</source> <volume>389</volume>, <fpage>1218</fpage>&#x2013;<lpage>1228</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0140-6736(17)30182-4</pub-id>, PMID: <pub-id pub-id-type="pmid">28214091</pub-id></citation></ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Poewe</surname> <given-names>W.</given-names>
</name>
<name>
<surname>Seppi</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Tanner</surname> <given-names>C. M.</given-names>
</name>
<name>
<surname>Halliday</surname> <given-names>G. M.</given-names>
</name>
<name>
<surname>Brundin</surname> <given-names>P.</given-names>
</name>
<name>
<surname>Volkmann</surname> <given-names>J.</given-names>
</name>
<etal/>
</person-group>. (<year>2017</year>). <article-title>Parkinson disease</article-title>. <source>Nat. Rev. Dis. Primers.</source> <volume>3</volume>, <fpage>17013</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrdp.2017.13</pub-id>, PMID: <pub-id pub-id-type="pmid">28332488</pub-id></citation></ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ramadan</surname> <given-names>M. E.</given-names>
</name>
<name>
<surname>Mostafa</surname> <given-names>T. M.</given-names>
</name>
<name>
<surname>Ghali</surname> <given-names>A. A.</given-names>
</name>
<name>
<surname>El-Afify</surname> <given-names>D. R.</given-names>
</name>
</person-group> (<year>2025</year>). <article-title>Randomized controlled trial evaluating synbiotic supplementation as an adjuvant therapy in the treatment of Parkinson's disease</article-title>. <source>Inflammopharmacology</source>. <volume>33</volume> (<issue>7</issue>), <fpage>3897</fpage>&#x2013;<lpage>3908</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10787-025-01752-8</pub-id>, PMID: <pub-id pub-id-type="pmid">40434674</pub-id></citation></ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rocca</surname> <given-names>W. A.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>The burden of Parkinson's disease: a worldwide perspective</article-title>. <source>Lancet Neurol.</source> <volume>17</volume>, <fpage>928</fpage>&#x2013;<lpage>929</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s1474-4422(18)30355-7</pub-id>, PMID: <pub-id pub-id-type="pmid">30287052</pub-id></citation></ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Scheperjans</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Aho</surname> <given-names>V.</given-names>
</name>
<name>
<surname>Pereira</surname> <given-names>P. A.</given-names>
</name>
<name>
<surname>Koskinen</surname> <given-names>K.</given-names>
</name>
<name>
<surname>Paulin</surname> <given-names>L.</given-names>
</name>
<name>
<surname>Pekkonen</surname> <given-names>E.</given-names>
</name>
<etal/>
</person-group>. (<year>2015</year>). <article-title>Gut microbiota are related to Parkinson's disease and clinical phenotype</article-title>. <source>Mov Disord.</source> <volume>30</volume>, <fpage>350</fpage>&#x2013;<lpage>358</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/mds.26069</pub-id>, PMID: <pub-id pub-id-type="pmid">25476529</pub-id></citation></ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Scheperjans</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Levo</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Bosch</surname> <given-names>B.</given-names>
</name>
<name>
<surname>L&#xe4;&#xe4;peri</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Pereira</surname> <given-names>P. A. B.</given-names>
</name>
<name>
<surname>Smolander</surname> <given-names>O. P.</given-names>
</name>
<etal/>
</person-group>. (<year>2024</year>). <article-title>Fecal microbiota transplantation for treatment of parkinson disease: A randomized clinical trial</article-title>. <source>JAMA Neurol.</source> <volume>81</volume>, <fpage>925</fpage>&#x2013;<lpage>938</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaneurol.2024.2305</pub-id>, PMID: <pub-id pub-id-type="pmid">39073834</pub-id></citation></ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Simon</surname> <given-names>D. K.</given-names>
</name>
<name>
<surname>Tanner</surname> <given-names>C. M.</given-names>
</name>
<name>
<surname>Brundin</surname> <given-names>P.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Parkinson disease epidemiology, pathology, genetics, and pathophysiology</article-title>. <source>Clin. Geriatr. Med.</source> <volume>36</volume>, <fpage>1</fpage>&#x2013;<lpage>12</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cger.2019.08.002</pub-id>, PMID: <pub-id pub-id-type="pmid">31733690</pub-id></citation></ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname> <given-names>M. F.</given-names>
</name>
<name>
<surname>Zhu</surname> <given-names>Y. L.</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Z. L.</given-names>
</name>
<name>
<surname>Jia</surname> <given-names>X. B.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y. D.</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Q.</given-names>
</name>
<etal/>
</person-group>. (<year>2018</year>). <article-title>Neuroprotective effects of fecal microbiota transplantation on MPTP-induced Parkinson's disease mice: Gut microbiota, glial reaction and TLR4/TNF-&#x3b1; signaling pathway</article-title>. <source>Brain Behav. Immun.</source> <volume>70</volume>, <fpage>48</fpage>&#x2013;<lpage>60</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bbi.2018.02.005</pub-id>, PMID: <pub-id pub-id-type="pmid">29471030</pub-id></citation></ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tamtaji</surname> <given-names>O. R.</given-names>
</name>
<name>
<surname>Taghizadeh</surname> <given-names>M.</given-names>
</name>
<name>
<surname>Daneshvar Kakhaki</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Kouchaki</surname> <given-names>E.</given-names>
</name>
<name>
<surname>Bahmani</surname> <given-names>F.</given-names>
</name>
<name>
<surname>Borzabadi</surname> <given-names>S.</given-names>
</name>
<etal/>
</person-group>. (<year>2019</year>). <article-title>Clinical and metabolic response to probiotic administration in people with Parkinson's disease: A randomized, double-blind, placebo-controlled trial</article-title>. <source>Clin. Nutr.</source> <volume>38</volume>, <fpage>1031</fpage>&#x2013;<lpage>1035</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.clnu.2018.05.018</pub-id>, PMID: <pub-id pub-id-type="pmid">29891223</pub-id></citation></ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tan</surname> <given-names>A. H.</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>S. Y.</given-names>
</name>
<name>
<surname>Chong</surname> <given-names>K. K.</given-names>
</name>
<name>
<surname>MAA</surname> <given-names>A. M.</given-names>
</name>
<name>
<surname>Hor</surname> <given-names>J. W.</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>J. L.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Probiotics for constipation in parkinson disease: A randomized placebo-controlled study</article-title>. <source>Neurology.</source> <volume>96</volume>, <fpage>e772</fpage>&#x2013;<lpage>ee82</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1212/wnl.0000000000010998</pub-id>, PMID: <pub-id pub-id-type="pmid">33046607</pub-id></citation></ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsao</surname> <given-names>S. P.</given-names>
</name>
<name>
<surname>Nurrahma</surname> <given-names>B. A.</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>R.</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>C. H.</given-names>
</name>
<name>
<surname>Yeh</surname> <given-names>T. H.</given-names>
</name>
<name>
<surname>Chiu</surname> <given-names>C. C.</given-names>
</name>
<etal/>
</person-group>. (<year>2021</year>). <article-title>Probiotic enhancement of antioxidant capacity and alterations of gut microbiota composition in 6-hydroxydopamin-induced parkinson's disease rats</article-title>. <source>Antioxidants (Basel)</source> <volume>10</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/antiox10111823</pub-id>, PMID: <pub-id pub-id-type="pmid">34829694</pub-id></citation></ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>X.</given-names>
</name>
<name>
<surname>He</surname> <given-names>X.</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>S.</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y.</given-names>
</name>
<name>
<surname>Mo</surname> <given-names>C.</given-names>
</name>
<name>
<surname>Lai</surname> <given-names>Y.</given-names>
</name>
<etal/>
</person-group>. (<year>2023</year>). <article-title>Effect of Lacticaseibacillus paracasei strain Shirota supplementation on clinical responses and gut microbiome in Parkinson's disease</article-title>. <source>Food Funct.</source> <volume>14</volume>, <fpage>6828</fpage>&#x2013;<lpage>6839</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1039/d3fo00728f</pub-id>, PMID: <pub-id pub-id-type="pmid">37470081</pub-id></citation></ref>
</ref-list>
</back>
</article>