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<article xml:lang="en" article-type="research-article" dtd-version="1.4"><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-ta">Front Microbiol</journal-id><journal-id journal-id-type="iso-abbrev">Front Microbiol</journal-id><journal-id journal-id-type="pmc-domain-id">1526</journal-id><journal-id journal-id-type="pmc-domain">frontmicrobio</journal-id><journal-id journal-id-type="nlm-id">101548977</journal-id><journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id><journal-title-group><journal-title>Frontiers in Microbiology</journal-title></journal-title-group><issn pub-type="epub">1664-302X</issn><?publisher_abbrev frontiers?><publisher><publisher-name>Frontiers Media SA</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmcid">PMC9672813</article-id><article-id pub-id-type="pmcid-ver">PMC9672813.1</article-id><article-id pub-id-type="pmcaid">9672813</article-id><article-id pub-id-type="pmcaiid">9672813</article-id><article-id pub-id-type="pmid">36406395</article-id><article-id pub-id-type="doi">10.3389/fmicb.2022.1009502</article-id><article-version article-version-type="pmc-version">1</article-version><article-categories><subj-group subj-group-type="heading"><subject>Microbiology</subject><subj-group><subject>Original Research</subject></subj-group></subj-group></article-categories><title-group><article-title>Effect of stigma maydis polysaccharide on the gut microbiota and transcriptome of VPA induced autism model rats</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Yang</surname><given-names initials="X">Xiaolei</given-names></name><xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Li</surname><given-names initials="J">Jiyuan</given-names></name><xref rid="aff1" ref-type="aff">
<sup>1</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zhou</surname><given-names initials="Y">Yang</given-names></name><xref rid="aff2" ref-type="aff">
<sup>2</sup>
</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zhang</surname><given-names initials="N">Ning</given-names></name><xref rid="aff3" ref-type="aff">
<sup>3</sup>
</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Liu</surname><given-names initials="J">Jicheng</given-names></name><xref rid="aff4" ref-type="aff">
<sup>4</sup>
</xref><xref rid="c001" ref-type="corresp">
<sup>*</sup>
</xref><uri xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://loop.frontiersin.org/people/1788795/overview"/></contrib></contrib-group><aff id="aff1"><sup>1</sup><institution>Department of Preventive Medicine, School of Public Health, Qiqihar Medical University</institution>, <addr-line>Qiqihar</addr-line>, <country>China</country></aff><aff id="aff2"><sup>2</sup><institution>Department of Anorectal Surgery, The Second Affiliated Hospital of Qiqihar Medical University</institution>, <addr-line>Qiqihar</addr-line>, <country>China</country></aff><aff id="aff3"><sup>3</sup><institution>College of Pathology, Qiqihar Medical University</institution>, <addr-line>Qiqihar</addr-line>, <country>China</country></aff><aff id="aff4"><sup>4</sup><institution>Research Institute of Medical and Pharmacy, Qiqihar Medical University</institution>, <addr-line>Qiqihar</addr-line>, <country>China</country></aff><author-notes><fn id="fn0001" fn-type="edited-by"><p>Edited by: Giovanna Suzzi, University of Teramo, Italy</p></fn><fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Bin Liu, Binzhou Medical University Hospital, China; Yi Xu, Hefei University of Technology, China</p></fn><corresp id="c001">*Correspondence: Jicheng Liu, <email>qyybliu@163.com</email></corresp><fn id="fn0003" fn-type="other"><p>This article was submitted to Food Microbiology, a section of the journal Frontiers in Microbiology</p></fn></author-notes><pub-date pub-type="epub"><day>04</day><month>11</month><year>2022</year></pub-date><pub-date pub-type="collection"><year>2022</year></pub-date><volume>13</volume><issue-id pub-id-type="pmc-issue-id">400063</issue-id><elocation-id>1009502</elocation-id><history><date date-type="received"><day>02</day><month>8</month><year>2022</year></date><date date-type="accepted"><day>17</day><month>10</month><year>2022</year></date></history><pub-history><event event-type="pmc-release"><date><day>04</day><month>11</month><year>2022</year></date></event><event event-type="pmc-live"><date><day>19</day><month>11</month><year>2022</year></date></event><event event-type="pmc-last-change"><date iso-8601-date="2025-07-03 17:25:30.770"><day>03</day><month>07</month><year>2025</year></date></event></pub-history><permissions><copyright-statement>Copyright © 2022 Yang, Li, Zhou, Zhang and Liu.</copyright-statement><copyright-year>2022</copyright-year><copyright-holder>Yang, Li, Zhou, Zhang and Liu</copyright-holder><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-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.</license-p></license></permissions><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pmc-pdf" xlink:href="fmicb-13-1009502.pdf"><?pdf-name fmicb-13-1009502.pdf?><?pdf-size 3504378?><?pdf-md5 fa2e686085cc80880f8672dc90b1a92e?><?pdf-image-server-status NEVER_LOAD?><?pdf-cloudpmc-urn urn:app:512b/9672813/fa2e686085cc/fmicb-13-1009502.pdf?></self-uri><abstract><p>Stigma maydis polysaccharide (SMPS) is a plant polysaccharide that participates in immune regulation and gastrointestinal motility. Autism spectrum disorder (ASD) refers to a group of neurodevelopmental disorders, and ASD patients often present intestinal microflora imbalance problems; however, there is no effective treatment method. This study explores the effect of SMPS intervention on the gut microbiota in autism model rats as well as the potential action pathways. Female Wistar rats were intraperitoneally injected with sodium valproic acid (VPA) or normal saline at embryonic day 12.5 to establish an autism model or normal control in their offspring. The offspring prenatally exposed to VPA were randomly assigned to the VPA and the SMPS groups. The SMPS group was administered SMPS from E0.5 to postnatal day (PND) 21. We performed 16S rRNA and transcriptomics analyses to reveal the gut microbiota (GM) and differentially expressed genes in the autism model rats in response to SMPS intervention. SMPS intervention significantly improved the diversity and structure of the GM in autism model rats compared with the VPA rats. Moreover, the relative abundance of <italic toggle="yes">Prevotellaceae</italic> and <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic> was increased after SMPS intervention. Transcriptome sequencing showed that 496 differentially expressed genes (DEGs) were identified after SMPS administration compared with the VPA group. Meanwhile, gene ontology (GO) enrichment analysis of DEGs was showed that the SMPS group had significant 653 GO terms. SMPS intervention had a major influence on oxidative phosphorylation, retrograde endocannabinoid signaling, thermogenesis, ribosome, protein digestion and absorption, renin-angiotensin system, calcium signaling pathway, glycosphingolipid biosynthesis-ganglio series, and propanoate metabolism pathways. Overall, this study suggests that SMPS interventions in early life may have an impact on gut microbiota, and then affect the transcriptomics levels of the hippocampal tissue in the VPA-induced autism model rats. It provides scientific evidence for the role of the microbe-gut-brain axis in ASD research.</p></abstract><kwd-group><kwd>autism</kwd><kwd>gut microbiota</kwd><kwd>RNA-seq</kwd><kwd>16S rRNA</kwd><kwd>stigma maydis polysaccharide</kwd></kwd-group><funding-group><award-group><funding-source id="cn1"><institution-wrap><institution>Natural Science Foundation of Heilongjiang Province
</institution><institution-id institution-id-type="doi">10.13039/501100005046</institution-id></institution-wrap></funding-source><award-id award-type="contract" rid="cn1">LH2020H131</award-id></award-group><award-group><funding-source id="cn2"><institution-wrap><institution>National Natural Science Foundation of China
</institution><institution-id institution-id-type="doi">10.13039/501100001809</institution-id></institution-wrap></funding-source><award-id award-type="contract" rid="cn2">82103869</award-id></award-group></funding-group><counts><fig-count count="8"/><table-count count="0"/><equation-count count="0"/><ref-count count="70"/><page-count count="14"/><word-count count="8392"/></counts><custom-meta-group><custom-meta><meta-name>pmc-status-qastatus</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>pmc-status-live</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-status-embargo</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-status-released</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-open-access</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-olf</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-manuscript</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-legally-suppressed</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-pdf</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-supplement</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-pdf-only</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-suppress-copyright</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-real-version</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-scanned-article</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-preprint</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-in-epmc</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-license-ref</meta-name><meta-value>CC BY</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec sec-type="intro" id="sec1"><title>Introduction</title><p>Autism spectrum disorder (ASD) is a group of severe neurodevelopmental disorders that present social impairments and repetitive behavior problems. Currently, the prevalence of the disease has reached 1/59; however, its etiology remains unclear, with few therapeutic breakthroughs observed (<xref rid="ref45" ref-type="bibr">Saurman et al., 2020</xref>). While numerous medical comorbidities have been associated with ASD, gastrointestinal (GI) problems seriously affect the normal life and rehabilitation treatment of ASD individuals (<xref rid="ref21" ref-type="bibr">Kang et al., 2017</xref>). A strong association is observed between GI symptoms and intestinal microbiota misbalance in ASD patients (<xref rid="ref10" ref-type="bibr">Fu and Lee, 2021</xref>). The changes in bacterial diversity and community structure of the intestinal microbiome may affect the gut-brain neural network, gut immune system and neurotransmitters and then interfere with the function of the gut-brain axis, subsequently aggravating the behavioral disorders of ASD children (<xref rid="ref62" ref-type="bibr">Wang and Wang, 2016</xref>; <xref rid="ref24" ref-type="bibr">Ma et al., 2019</xref>; <xref rid="ref49" ref-type="bibr">Sgritta et al., 2019</xref>). Insights into the mechanisms of microbiome-gut-brain communication may clarify the underlying pathophysiology of ASD and lead to the discovery of novel therapeutic targets.</p><p>Constipation, abdominal pain and diarrhea are common gastrointestinal problems in children with ASD that not only worsen the autistic behavioral symptoms but also cause stress and anxiety problems (<xref rid="ref21" ref-type="bibr">Kang et al., 2017</xref>; <xref rid="ref8" ref-type="bibr">Ferguson et al., 2019</xref>; <xref rid="ref27" ref-type="bibr">Madra et al., 2020</xref>, <xref rid="ref28" ref-type="bibr">2021</xref>). These GI symptoms of ASD children may be associated with an imbalance of gut microbiota (GM) and poor intestinal motility (<xref rid="ref11" ref-type="bibr">Gabriele et al., 2016</xref>; <xref rid="ref41" ref-type="bibr">Pulikkan et al., 2019</xref>). Therefore, microbially mediated therapies, specifically probiotics and fecal microbiota transplantation, have shown promise in the treatment of GI symptoms in ASD children and potential benefits to the core behavioral symptoms of autism as well (<xref rid="ref32" ref-type="bibr">Martínez-González and Andreo-Martínez, 2020</xref>; <xref rid="ref58" ref-type="bibr">Tan et al., 2021</xref>).</p><p>Stigma maydis polysaccharide (SMPS) is a plant polysaccharide that participates in immune regulation and gastrointestinal motility. Intestinal flora represent an important bridge in the interaction between plant polysaccharides and the human body. Polysaccharides are digested into short-chain fatty acids by intestinal flora to aid absorption and utilization, produce active metabolites with pharmacological effects, and contribute to physiological function control (<xref rid="ref55" ref-type="bibr">Sun et al., 2020</xref>; <xref rid="ref3" ref-type="bibr">Chen et al., 2021</xref>; <xref rid="ref68" ref-type="bibr">Zhou et al., 2021</xref>). Meanwhile, the abundance, species, and proportion of the host intestinal microflora can all be influenced by polysaccharides. Numerous studies based on the “gut-brain axis” theory have found that the occurrence of many neurological diseases is closely associated with intestinal microbiosis (<xref rid="ref45" ref-type="bibr">Saurman et al., 2020</xref>; <xref rid="ref52" ref-type="bibr">Socała et al., 2021</xref>). Interestingly, polysaccharides can modulate the synthesis of neurotransmitters (such as serotonin and dopamine) in the human gut and affect their involvement in the structure and function of the nervous system by boosting the growth of helpful intestinal bacteria while suppressing the growth of harmful bacteria (<xref rid="ref48" ref-type="bibr">Settanni et al., 2021</xref>; <xref rid="ref57" ref-type="bibr">Sun et al., 2021</xref>; <xref rid="ref67" ref-type="bibr">Zhang et al., 2022</xref>). Recent human genetics revealed that bear long polysaccharides were associated with autism spectrum disorder and played an important role in synapse formation, neural plasticity (<xref rid="ref20" ref-type="bibr">Kamimura and Maeda, 2021</xref>). One study reported that clostridium bolteae levels were overabundant in intestinal tract of ASD children suffering from gastric intestinal ailments. However, it could produce a conserved specific capsular polysaccharide which might be as a vaccine to reduce or prevent clostridium bolteae colonization of the intestinal tract in autistic patients, and hopefully defend the augmentation of regressive-autism related symptoms (<xref rid="ref38" ref-type="bibr">Pequegnat et al., 2013</xref>). Additionally, Endreffy et al. found that total glycosaminoglycans (a family of linear, sulfated polysaccharides that are associated with central nervous system development, maintenance and disorders) were significantly higher in the urine of ASD children compared to healthy controls (<xref rid="ref7" ref-type="bibr">Endreffy and Bjørklund, 2016</xref>). However, adequate evidence is not available to explain the correlation between polysaccharides and autism, especially if polysaccharides can influence the gut-brain axis by regulating the gut microbiota. In our previous study, we found that SMPS intervention could meliorate behavioral impairments and alleviate some inflammatory responses in the gut of VPA induced autism model rats. Based on the above, this study was aimed to clarify the effect and mechanism of SMPS on the gut microbiota of autistic rats by 16S rRNA sequencing and RNA-seq technologies.</p></sec><sec sec-type="materials|methods" id="sec2"><title>Materials and methods</title><sec id="sec3"><title>VPA-induced autism rat model construction and SMPS intervention</title><p>SPF-grade healthy adult Wistar rats, including 12 females and 12 males, each weighing 250–280 g, were provided by the Animal Laboratory Center of Qiqihar Medical University. The rearing environment was maintained at 22 ± 2°C, humidity 50 ± 10%, natural circadian variable light, and national standard rat growth and breeding feed. All experiments were approved by the Ethics Committee of Qiqihar Medical University and operated in strict accordance with its relevant regulations (QMU-AECC-2021-62).</p><p>The establishment of the VPA-induced autism model was performed according to method of Schneider (<xref rid="ref46" ref-type="bibr">Schneider and Przewłocki, 2005</xref>). After a week of adaptive rearing of Wistar rats, female and male rats were allowed to mate overnight until a vaginal plug was found, which was defined embryonic day 0.5 (E0.5). Sodium valproic acid (VPA; Sigma Aldrich, St Louis, MO, United States) was dissolved in 0.9% saline at a concentration of 250 mg ml<sup>−1</sup>, and pregnant rats received a single intraperitoneal (i.p.) injection of 600 mg kg<sup>−1</sup> VPA or an equal volume of saline (VPA and SMPS groups treated with VPA and control groups treated with saline, respectively) on E12.5.</p><p>Pregnant rats injected with VPA were randomly divided into the VPA group and SMPS group (2 g/kg, 80% purity, Ruina, China), while pregnant rats injected with saline represented the control group (expressed as C). Each group included four pregnant rats, and each rat was kept in a single cage. The SMPS group received the SMPS intervention <italic toggle="yes">via</italic> drinking water on days E0.5-PND21, while the VPA and control groups received normal drinking water. Pregnant rats were individually housed and allowed to raise their own litters. The experimental procedure is shown in <xref rid="fig1" ref-type="fig">Figure 1</xref>.</p><fig position="float" id="fig1" orientation="portrait"><label>Figure 1</label><caption><p>Schematic representation of the experimental procedure.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g001.jpg"><?image-name fmicb-13-1009502-g001.jpg?><?image-size 50501?><?image-md5 94d52d5a67b3d1e216b25544a8c6d952?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 341?><?image-original-width 1535?><?image-scaled-height 170?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/94d52d5a67b3/fmicb-13-1009502-g001.jpg?><?thumb-name fmicb-13-1009502-g001.gif?><?thumb-size 7329?><?thumb-md5 75262aa71f09f1baf3f4b4b0fa580d5f?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 44?><?thumb-scaled-width 200?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/75262aa71f09/fmicb-13-1009502-g001.gif?></graphic></fig></sec><sec id="sec4"><title>Collection of feces and hippocampus tissue</title><p>On PND 21, 8 pups from each group were individually placed into clean cages. Fecal pellets were quickly collected into sterile cryotubes after defecation, immediately transferred to liquid nitrogen, and subsequently stored at −80°C until 16S rRNA gene sequencing. Then, we sacrificed offspring from each group, rapidly placed the hippocampal tissue into sterile frozen storage tubes, transferred the samples to liquid nitrogen, and subsequently stored them at −80°C until RNA sequencing (RNA-seq).</p></sec><sec id="sec5"><title>16S rRNA gene sequencing and bioinformatics analysis</title><p>Total genomic DNA of each fecal sample (~100 mg) was extracted by an E.Z.N.A. Stool DNA Kit (OMEGA, United States). The DNA concentration and purity were monitored on 1% agarose gels. According to the concentration, DNA was diluted to 1 ng/μl with sterile water. 16S rRNA genes in distinct regions (16S V4) were amplified with specific primers (515F-806R) and barcodes. All PCR mixtures contained 15 μl of Phusion<sup>®</sup> High-Fidelity PCR Master Mix (New England Biolabs), 0.2 μM of each primer and 10 ng target DNA, and the cycling conditions consisted of an initial denaturation step at 98°C for 1 min, followed by 30 cycles at 98°C (10 s), 50°C (30 s) and 72°C (30 s), and a final 5 min extension at 72°C.</p><p>The PCR products were mixed in equal proportions, and then the Qiagen Gel Extraction Kit (Qiagen, Germany) was used to purify the mixed PCR products. Sequencing libraries were generated with the NEBNext<sup>®</sup> Ultra™ IIDNA Library Prep Kit (Cat No. E7645) following the manufacturer’s recommendations. The library quality was evaluated on a Qubit@ 2.0 Fluorometer (Thermo Scientific) and an Agilent Bioanalyzer 2100 system. Finally, the library was sequenced on an Illumina NovaSeq platform by Novogene Co., Ltd. (Tianjin, China).</p><p>Paired-end reads were merged using FLASH (Version 1.2.11). Quality filtering of the raw tags was performed using fastp (Version 0.20.0) software to obtain high-quality clean tags. The clean tags were compared with the reference database (Silva database <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.arb-silva.de/for16S" ext-link-type="uri">https://www.arb-silva.de/for16S</ext-link>) using Vsearch (Version 2.15.0) to detect chimera sequences, which were then removed to obtain the effective tags. Alpha diversity indices, including Chao1, ACE, Shannon and Simpson indices, were calculated by Mothur. The results of a principal coordinates analysis (PCoA) based on the Bray–Curtis dissimilarity were analyzed by permutational multivariate analysis of variance (PERMANOVA) to determine the beta-diversity of different bacterial communities. Linear discriminant analysis effect size (LEfSe) was used to evaluate the influence of each taxon on differences between two groups.</p></sec><sec id="sec6"><title>RNA-seq and bioinformatics analysis</title><sec id="sec7"><title>RNA quantification, library preparation and sequencing</title><p>Four out of eight bioinformatics samples per group were used to carry out transcriptomic experiments. The RNA integrity of each group’s hippocampal tissue was assessed using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, CA, United States). The RNA integrity and DNA contamination of the samples were analyzed by agarose gelelectrophoresis using Agilent 2100 bioanalyzer (Agilent Technologies, Inc., United States). The concentration of RNA, the ratio of OD260/280 and OD260/230 was determined through Nano Drop spectrophotometer (Thermofsher Scientific Inc., MA, United States). The preparation of cDNA library and RNA sequencing was performed at Novogene Co., Ltd. (Tianjin, China).</p></sec><sec id="sec8"><title>Data preprocessing, mapping, and quantification</title><p>Raw data (raw reads) in fastq format were first processed through in-house Perl scripts. In this step, clean data (clean reads) were obtained by removing reads containing adapters and poly-N sequences and low-quality reads from the raw data. At the same time, the Q20, Q30, and GC contents of the clean data were calculated. All downstream analyses were based on clean high-quality data.</p><p>Reference genome and gene model annotation files were downloaded from the genome website directly. The index of the reference genome was built using HISAT2 v2.0.5, and paired-end clean reads were aligned to the reference genome using HISAT2 v2.0.5. We selected Hisat2 as the mapping tool because Hisat2 can generate a database of splice junctions based on the gene model annotation file and thus a better mapping result than other nonsplice mapping tools. The mapped reads of each sample were assembled By StringTie (v1.3.3b) in a reference-based approach. StringTie uses a novel network flow algorithm as well as an optional <italic toggle="yes">de novo</italic> assembly step to assemble and quantitate full-length transcripts representing multiple splice variants for each gene locus.</p><p>Feature Counts v1.5.0-p3 was used to count the read numbers mapped to each gene. Then, the FPKM of each gene was calculated based on the length of the gene and read count mapped to this gene. FPKM, the expected number of Fragments Per Kilobase of transcript sequence per Millions base pairs sequenced, considers the effect of sequencing depth and gene length for the read count at the same time and is currently the most commonly used method for estimating gene expression levels. All RNA-seq raw data have been submitted to Sequence Read Archive (accession number PRJNA870709; <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA870709" ext-link-type="uri">https://www.ncbi.nlm.nih.gov/bioproject/PRJNA870709</ext-link>).</p></sec><sec id="sec9"><title>Differential expression analysis</title><p>Prior to the differential gene expression analysis, for each sequenced library, the read counts were adjusted by the edge R program package through one scaling normalized factor. Differential expression analysis of the two conditions was performed using the edge R package (3.22.5). The <italic toggle="yes">p</italic>-values were adjusted using the Benjamini &amp; Hochberg method. The <italic toggle="yes">p</italic>-value of 0.05 and an absolute fold change of 2 were set as the thresholds for significant differential expression.</p></sec><sec id="sec10"><title>Enrichment and pathways</title><p>Gene Ontology (GO) enrichment analysis of differentially expressed genes was implemented by the clusterProfiler R package, in which gene length bias was corrected. GO terms with <italic toggle="yes">p</italic>-values &lt;0.05 were considered significantly enriched by differentially expressed genes. KEGG is a database resource for understanding the high-level functions and utilities of biological systems, such as cells, organisms and ecosystems, based on molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies.<xref rid="fn0004" ref-type="fn"><sup>1</sup></xref> We used the clusterProfiler R package to test the statistical enrichment of differentially expressed genes in KEGG pathways.</p></sec></sec><sec id="sec11"><title>Statistical analysis</title><p>The data were analyzed using SPSS 18.0 (SPSS Inc., Chicago, IL, United States). All data are represented as the mean ± SD. Statistical analyses of multiple-group comparisons were performed by one-way ANOVA and PERMANOVA. Statistical significance was set at <italic toggle="yes">p &lt;</italic> 0.05.</p></sec></sec><sec sec-type="results" id="sec12"><title>Results</title><sec id="sec13"><title>Bacterial taxonomic profiles</title><p>To detect the effect of SMPS on VPA-treated model rats, fecal samples were analyzed by 16S rRNA gene sequencing. A total of 2,561,178 raw PEs were obtained from the three groups (including 24 samples). ASV annotations were performed for all samples (41 at the phylum level, 104 at the class level, 245 at the order level, 391 at the family level, 650 at the genera level, 187 at the species level), and the number of intersecting ASVs differed among these groups (<xref rid="fig2" ref-type="fig">Figure 2A</xref>). Moreover, the relative abundances of the top 10 species at the phylum, family and genus levels are shown in <xref rid="fig2" ref-type="fig">Figures 2B</xref>–<xref rid="fig2" ref-type="fig">D</xref>. It showed that the SMPS could change the relative abundance of taxa composition at the family and genus levels, and the SMPS group was similar to the control group. Compared to VPA group, the relative abundance of <italic toggle="yes">Muribaculaceae</italic> was decreased in the SMPS group at the family level. In contrast, the relative abundance of <italic toggle="yes">Prevotellaceae</italic> was increased after SMPS intervention. In addition, SMPS group showed an increased relative abundance of <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic> and <italic toggle="yes">Helcobacter</italic> compared with VPA group at genus level. However, the relative abundance of <italic toggle="yes">Turicibacter</italic> was decreased in the SMPS group, and similar to that of the control group. There was statistically significant differences in the ratio of <italic toggle="yes">Bacteroidetes</italic> to <italic toggle="yes">Firmicutes</italic> (B/F) among SMPS, VPA and C groups at the phylum level (<italic toggle="yes">F</italic><sub>(2,21)</sub> = 3.911, <italic toggle="yes">p</italic> = 0.036). The B/F ratio of VPA group was lower than that of C group (1.22 ± 0.40 &amp; 1.83 ± 0.38, <italic toggle="yes">p</italic> = 0.011), whereas it was elevated after SMPS intervention (<italic toggle="yes">p</italic> &gt; 0.05).</p><fig position="float" id="fig2" orientation="portrait"><label>Figure 2</label><caption><p>Characteristics of the gut microbiota among the SMPS, VPA and C groups (<italic toggle="yes">n</italic> = 8 per group). <bold>(A)</bold> Venn diagram for these groups. The number of mutual ASVs in the groups. Top 10 species at the <bold>(B)</bold> phylum level, <bold>(C)</bold> family level, and <bold>(D)</bold> genus level. (SMPS, SMPS intervention group; VPA, VPA induced autism model group; C, control group).</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g002.jpg"><?image-name fmicb-13-1009502-g002.jpg?><?image-size 106653?><?image-md5 b409d26caaab02fae5368067c07d2e15?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1035?><?image-original-width 1535?><?image-scaled-height 517?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/b409d26caaab/fmicb-13-1009502-g002.jpg?><?thumb-name fmicb-13-1009502-g002.gif?><?thumb-size 12094?><?thumb-md5 84163d5e0bc1cd34319779fdc06e9b32?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 118?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/84163d5e0bc1/fmicb-13-1009502-g002.gif?></graphic></fig></sec><sec id="sec14"><title>Alpha and beta diversity analyses</title><p>The α-diversity analysis showed significant differences in the Pielou (<italic toggle="yes">F</italic><sub>(2,21)</sub> = 13.158, <italic toggle="yes">p</italic> &lt; 0.001) and Simpson indices (<italic toggle="yes">F</italic><sub>(2,21)</sub> = 7.602, <italic toggle="yes">p</italic> = 0.003) among these groups by one-way ANOVA. Then, through the LSD test, we found that the SMPS group was significantly different from the VPA group (<italic toggle="yes">p</italic><sub>(pielou)</sub> &lt; 0.001, <italic toggle="yes">p</italic><sub>(simpson)</sub> = 0.001; <xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S1</xref>). Beta diversity analyses provide a comparative analysis of the microbial community composition of different groups. PCoA (weighted UniFrac) was used after the ASV selection-based bacterial taxonomy analysis, which showed that the overall composition of GM was significantly different between the SMPS and VPA groups (<italic toggle="yes">R</italic> = 0.466, <italic toggle="yes">p</italic> = 0.004; <xref rid="fig3" ref-type="fig">Figure 3</xref>); however, the composition of GM in the SMPS group was not different from that of the controls (<italic toggle="yes">R</italic> = 0.051, <italic toggle="yes">p</italic> = 0.269). Based on above, it indicated that SMPS intervention had an effect on the composition of the gut microbiota in the VPA-induced model rats, and made the composition of gut microflora approached that of the control group.</p><fig position="float" id="fig3" orientation="portrait"><label>Figure 3</label><caption><p>Beta diversity analysis for PCoA chart (<italic toggle="yes">n</italic> = 8, per group).</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g003.jpg"><?image-name fmicb-13-1009502-g003.jpg?><?image-size 52457?><?image-md5 8ecbb449666db330f25aceee99faed6c?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1241?><?image-original-width 1535?><?image-scaled-height 620?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/8ecbb449666d/fmicb-13-1009502-g003.jpg?><?thumb-name fmicb-13-1009502-g003.gif?><?thumb-size 7270?><?thumb-md5 905beaa1667dc69d670d86fba16273eb?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 81?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/905beaa1667d/fmicb-13-1009502-g003.gif?></graphic></fig></sec><sec id="sec15"><title>Linear discriminant analysis</title><p>The LDA effect size results revealed that <italic toggle="yes">Enterobacteriaceae</italic>, <italic toggle="yes">Escherichia_Shigella</italic>, <italic toggle="yes">Prevbtellaceae_Ga6A1_group</italic>, <italic toggle="yes">Campylobacterales</italic>, <italic toggle="yes">Campilobacterota</italic>, <italic toggle="yes">Campylobacteria</italic>, Helicbbacteraceae, <italic toggle="yes">Helicobacter</italic>, <italic toggle="yes">Helicobacter_rodentium</italic>, <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic>, <italic toggle="yes">Prevotella</italic>, and Prevotellaceae were characteristic taxa in the SMPS group, while <italic toggle="yes">Muribaculaceae, Firmicutes, Clostridium_sensu_stricto_1</italic>, <italic toggle="yes">Clostridiales, Clostridiaceae, Erysipelotrichales, Erysipelotrithaceae</italic>, <italic toggle="yes">Turicibacter</italic> and <italic toggle="yes">Bacilli</italic> were enriched in the VPA group (<xref rid="fig4" ref-type="fig">Figure 4</xref>). The linear discriminant analysis showed a clear alteration of microbiota characterized by higher <italic toggle="yes">Prevotellaceae</italic> and <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic> levels in the SMPS group (LDA score &gt; 4). However, <italic toggle="yes">Muribaculaceae</italic> and <italic toggle="yes">Firmicutes</italic> levels were significantly reduced after SMPS intervention. At the same time, we found that <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic> was the characteristic taxa in the SMPS group compared with C group, and <italic toggle="yes">Bacteroides_sartorii</italic>, <italic toggle="yes">Bacteroides and Bacteroidanceae</italic> were enriched in the C group (LDA score &gt; 3.5).</p><fig position="float" id="fig4" orientation="portrait"><label>Figure 4</label><caption><p>Significant bacterial taxa between the SMPS and VPA groups (<italic toggle="yes">n</italic> = 8 per group). <bold>(A)</bold> Cladogram based on the linear discriminant analysis effect size (LEfSE) method, the statistical significance cutoff: absolute linear discriminant analysis (LDA) score log10 ≥ 2.0; <bold>(B)</bold> Linear discriminant analysis (LDA) coupled with LEfSE between the SMPS and VPA groups.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g004.jpg"><?image-name fmicb-13-1009502-g004.jpg?><?image-size 116924?><?image-md5 fe202df2873f07b8ad675369b08713d4?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 724?><?image-original-width 1535?><?image-scaled-height 362?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/fe202df2873f/fmicb-13-1009502-g004.jpg?><?thumb-name fmicb-13-1009502-g004.gif?><?thumb-size 12164?><?thumb-md5 242d3b31c301fb5f4408ef72630a8e33?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 169?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/242d3b31c301/fmicb-13-1009502-g004.gif?></graphic></fig></sec><sec id="sec16"><title>RNA-seq for differential expression analysis</title><p>In total, 187,012,228, 188,078,284 and 186,294,964 raw reads were produced from the SMPS, VPA and control groups, respectively. The Q20% was above 97% among these groups, and the GC percentages of the clean reads were 48.85%, 50.16%, and 49.16% in the SMPS, VPA and control groups, respectively. In addition, 158,025,892, 156,405,535, and 157,347,614 reads were mapped to the rat genome in the groups. We finally obtained 14,094, 14,397, and 14,230 genes in the SMPS, VPA and control groups, respectively. A total of 496 genes were identified as DEGs from the SMPS and VPA groups, of which 130 were up-regulated and 366 were down-regulated (<xref rid="fig5" ref-type="fig">Figure 5A</xref>). The top five up-regulated genes were <italic toggle="yes">Ebna1bp2</italic> (log<sub>2</sub>FC = 6.43, padj = 8.73E-05), <italic toggle="yes">Nudt16l1</italic> (log<sub>2</sub>FC = 1.97, padj = 1.02E-05), <italic toggle="yes">Cebpb</italic> (log<sub>2</sub>FC = 1.62, padj = 1.15E-07), <italic toggle="yes">Pbld1</italic> (log<sub>2</sub>FC = 1.59, padj = 2.74E-03) and <italic toggle="yes">Moap1</italic> (log<sub>2</sub>FC = 1.58, padj = 0.02), whereas the top five down-regulated genes were <italic toggle="yes">Timm17b</italic> (log<sub>2</sub>FC = −5.60, padj = 4.99E-03), <italic toggle="yes">Nxnl2</italic> (log<sub>2</sub>FC = −3.12, padj = 0.04), <italic toggle="yes">Cnksr1</italic> (log<sub>2</sub>FC = −3.08, padj = 0.01), <italic toggle="yes">Bhmt</italic> (log<sub>2</sub>FC = −2.65, padj = 0.04) and <italic toggle="yes">Bnc2</italic> (log<sub>2</sub>FC = −2.51, padj = 0.02). Compared with the C group, 763 DEGs were identified in the SMPS intervention group, of which 330 DEGs were up-regulated and 433 DEGs were down-regulated (<xref rid="fig5" ref-type="fig">Figure 5B</xref>). The top five up-regulated genes were <italic toggle="yes">Esm1</italic> (log<sub>2</sub>FC = 4.59, padj = 7.97E-03), <italic toggle="yes">Tfap2c</italic> (log<sub>2</sub>FC = 3.20, padj = 6.06E-03), <italic toggle="yes">Gdf15</italic> (log<sub>2</sub>FC = 3.02, padj = 0.02), <italic toggle="yes">Pigg</italic> (log<sub>2</sub>FC = 2.64, padj = 0.01) and <italic toggle="yes">Cd3e</italic> (log<sub>2</sub>FC = 2.61, padj = 0.01), whereas the top five down-regulated genes were <italic toggle="yes">Nupr1</italic> (log<sub>2</sub>FC = −5.83, padj = 0.01), <italic toggle="yes">Chat</italic> (log<sub>2</sub>FC = −4.65, padj = 0.03), <italic toggle="yes">B9d1</italic> (log<sub>2</sub>FC = −4.62, padj = 2.06E-09), <italic toggle="yes">Haus1</italic> (log<sub>2</sub>FC = −3.52, padj = 9.71E-03) and <italic toggle="yes">Ngfr</italic> (log<sub>2</sub>FC = −3.44, padj = 0.04). The expression of DEGs among the three groups is shown in <xref rid="fig6" ref-type="fig">Figure 6A</xref>. The total of 38 DEGs co-expressed in the SMPS, VPA and control groups are displayed in <xref rid="fig6" ref-type="fig">Figure 6B</xref>.</p><fig position="float" id="fig5" orientation="portrait"><label>Figure 5</label><caption><p>Volcano plots showing distribution trends for differentially expressed genes (<italic toggle="yes">n</italic> = 4 per group). <bold>(A)</bold> SMPS and VPA groups; <bold>(B)</bold> SMPS and C groups. Red and blue dots indicate up- and downregulated DEGs, respectively; gray dots indicate that the genes were not differentially expressed.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g005.jpg"><?image-name fmicb-13-1009502-g005.jpg?><?image-size 67159?><?image-md5 fcbdf3839ccb1fc90930b84cdca4af29?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 610?><?image-original-width 1535?><?image-scaled-height 305?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/fcbdf3839ccb/fmicb-13-1009502-g005.jpg?><?thumb-name fmicb-13-1009502-g005.gif?><?thumb-size 9407?><?thumb-md5 8368192688bb31c9f0aceb7c67a2f61e?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 79?><?thumb-scaled-width 200?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/8368192688bb/fmicb-13-1009502-g005.gif?></graphic></fig><fig position="float" id="fig6" orientation="portrait"><label>Figure 6</label><caption><p>Cluster heatmaps among the SMPS, VPA and C groups (<italic toggle="yes">n</italic> = 4 per group). <bold>(A)</bold> Hierarchical clustering heatmap of DEGs among the three groups; <bold>(B)</bold> Clustering heatmap showed 38 common DEGs among the three groups.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g006.jpg"><?image-name fmicb-13-1009502-g006.jpg?><?image-size 114016?><?image-md5 0a1234edd356c820f59353ac9fd8c5ee?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 752?><?image-original-width 1535?><?image-scaled-height 376?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/0a1234edd356/fmicb-13-1009502-g006.jpg?><?thumb-name fmicb-13-1009502-g006.gif?><?thumb-size 15391?><?thumb-md5 d31c02ae6bd6c8b23cd70a26a14d96a5?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 163?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/d31c02ae6bd6/fmicb-13-1009502-g006.gif?></graphic></fig></sec><sec id="sec17"><title>Go pathway analyses</title><p>The functions of the DEGs were analyzed based on the GO database, and we obtained 653 significantly different GO terms between the SMPS and VPA groups, including biological processes (548 subclasses), cellular components (65 subclasses), and molecular functions (40 subclasses). The top five biological process terms were collagen fibril organization, precursor metabolite and energy generation, purine ribonucleotide metabolism, ATP metabolic process and extracellular matrix organization. In addition, the extracellular matrix, inner mitochondrial membrane protein complex, mitochondrial respiratory chain, respiratory chain and respiratory chain complex were dominant among the cellular components. The top five molecular function terms for GO analysis were collagen binding, calmodulin-dependent protein kinase activity, structural constituent of ribosome, cadherin binding and heat shock protein binding, which are shown in <xref rid="fig7" ref-type="fig">Figures 7A</xref>,<xref rid="fig7" ref-type="fig">C</xref>. Meanwhile, we got 817 significantly different GO terms between the SMPS and C groups, including biological processes (639 subclasses), cellular components (99 subclasses), and molecular functions (79 subclasses). The results of GO BP were significantly enriched in chemical synaptic transmission, anterograde trans-synaptic signaling, trans-synaptic signaling, synaptic signaling and learning or memory. The postsynapse, neuron to neuron synapse, asymmetric synapse, postsynaptic density and glutamatergic synapse were the most strongly represented cellular components. The top five molecular function terms for GO analysis were neurotransmitter receptor activity, transmitter-gated ion channel activity, transmitter-gated channel activity, ionotropic glutamate receptor activity and extracellular ligand-gated ion channel activity (<xref rid="fig7" ref-type="fig">Figures 7B</xref>,<xref rid="fig7" ref-type="fig">D</xref>).</p><fig position="float" id="fig7" orientation="portrait"><label>Figure 7</label><caption><p>Bar charts and dot plots of the main GO term enrichment analysis (<italic toggle="yes">n</italic> = 4 per group). Bar chart of the comparison showing the 30 most significant terms between the <bold>(A)</bold> SMPS and VPA groups and <bold>(B)</bold> SMPS and C groups (BP, biological process; CC, cell component; and MF, molecular function); and dot plot of the comparison between the <bold>(C)</bold> SMPS and VPA groups and <bold>(D)</bold> SMPS and C groups, with every dot representing one pathway. The size and color of each circle represented the gene number in this pathway and <italic toggle="yes">p</italic>-value, respectively.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g007.jpg"><?image-name fmicb-13-1009502-g007.jpg?><?image-size 162181?><?image-md5 b6d6aac8d5ae4310fb7c858aeb4f221d?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1473?><?image-original-width 1535?><?image-scaled-height 736?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/b6d6aac8d5ae/fmicb-13-1009502-g007.jpg?><?thumb-name fmicb-13-1009502-g007.gif?><?thumb-size 12723?><?thumb-md5 7d1c49b7031dbea09ab2afd0112ea4d1?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 96?><?thumb-scaled-width 100?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/7d1c49b7031d/fmicb-13-1009502-g007.gif?></graphic></fig></sec><sec id="sec18"><title>Integrated enrichment analysis of 16S rRNA and transcriptomics profiles</title><p>In the 16S rRNA profile, based on the functional annotation and abundance information of the samples in the database, the 34 abundance functions of GM in each group were selected to heatmap and clustered from different functional levels (<xref rid="fig8" ref-type="fig">Figure 8A</xref>). Subsequently, by KEGG pathway analysis, we found that abundance functions were enriched in metabolic pathways, biosynthesis of secondary metabolites, starch and sucrose metabolism, biosynthesis of amino acids, microbial metabolism in diverse environments, galactose metabolism, other glycan degradation, GABAergic synapse, etc.</p><fig position="float" id="fig8" orientation="portrait"><label>Figure 8</label><caption><p>The KEGG analysis for transcript and 16S rRNA profiles. <bold>(A)</bold> Heatmap of functional annotation and abundance information for 16S rRNA profile among SMPS, VPA and C groups; <bold>(B)</bold> Bar chart of the enrichment pathways between SMPS and VPA groups.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="fmicb-13-1009502-g008.jpg"><?image-name fmicb-13-1009502-g008.jpg?><?image-size 94498?><?image-md5 f418e4580acfd8cab882a7e7510ff68d?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 751?><?image-original-width 1535?><?image-scaled-height 375?><?image-scaled-width 767?><?image-cloudpmc-urn urn:cdn:blobs/512b/9672813/f418e4580acf/fmicb-13-1009502-g008.jpg?><?thumb-name fmicb-13-1009502-g008.gif?><?thumb-size 11636?><?thumb-md5 85ea0e00d4eb6231d8e46a2f19b52d84?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 163?><?thumb-cloudpmc-urn urn:cdn:blobs/512b/9672813/85ea0e00d4eb/fmicb-13-1009502-g008.gif?></graphic></fig><p>For the KEGG pathway analysis of transcriptomics profile, DEGs associated with SMPS relative to the VPA group were mostly enriched in oxidative phosphorylation, retrograde endocannabinoid signaling, thermogenesis, Parkinson disease, ribosome, protein digestion and absorption, renin-angiotensin system, calcium signaling pathway, phenylalanine metabolism, glycosphingolipid biosynthesis-ganglio series, and propanoate metabolism, etc. (<xref rid="fig8" ref-type="fig">Figure 8B</xref>; <xref rid="SM2" ref-type="supplementary-material">Supplementary Table S1</xref>). In addition, after the SMPS intervention, differentially expressed genes were enriched in the oxidative phosphate signaling pathway, including 22 upregulated genes (Uqcrb, Ndufa6, Ndufa3, etc.) and 14 downregulated genes (Mt-nd3, Cox7a2l2, Mt-cyb, etc.). We also found that both upregulated and downregulated genes were mostly enriched in the ribosome pathway. Furthermore, compared with the controls, DEGs induced by SMPS were enriched in the calcium signaling pathway, dilated cardiomyopathy, adrenergic signaling in cardiomyocytes, vascular smooth muscle contraction, dopaminergic synapse, endocytosis, and aldosterone synthesis and secretion, etc. (<xref rid="SM2" ref-type="supplementary-material">Supplementary Table S2</xref>).</p><p>Based on the above findings, it was possible that SMPS intervention affected biological metabolism (including starch and sucrose metabolism, biosynthesis of amino acids, galactose metabolism and other glycan degradation pathways) through regulating intestinal flora. For this, it might play a role in signaling pathways related to neural function in the VPA induced model rats, such as oxidative phosphorylation, retrograde endocannabinoid signaling, ribosome, renin-angiotensin system, calcium signaling pathway, glycosphingolipid biosynthesis-ganglio series, and propanoate metabolism, etc.</p></sec></sec><sec sec-type="discussions" id="sec19"><title>Discussion</title><p>In this study, after the SMPS intervention (from pregnancy to lactation) of VPA-injected pregnant rats, the diversity and structure of the GM in their pups were changed, especially the relative abundance of <italic toggle="yes">Prevotellaceae</italic> and <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic>. The finding confirmed the supporting effect of plant polysaccharides on the intestinal microbiota. To authenticate whether it has initiated the gut-brain axis, we performed a transcriptomic analysis of the offspring’s hippocampal tissue. Interestingly, the overall findings showed that 496 genes were differentially expressed after induction by SMPS compared with the VPA group. Moreover, the GO analysis indicated that these DEGs were mainly involved in collagen fibril organization, precursor metabolite and energy generation, and purine ribonucleotide metabolic processes. The KEGG analysis showed that both upregulated and downregulated genes were mostly enriched in the ribosome pathway. The above findings provide scientific evidence to elucidate the relationship between ASD and the microbiome-gut-brain axis.</p><p>Numerous studies have shown that plant polysaccharides can improve the intestinal flora and regulate the body’s immune system (<xref rid="ref16" ref-type="bibr">Gudi et al., 2019</xref>; <xref rid="ref66" ref-type="bibr">Youn et al., 2020</xref>; <xref rid="ref17" ref-type="bibr">Guo et al., 2021</xref>). It is worth noting that a large number of studies have shown a strong association between the etiology of ASD and its disturbance of immune function (<xref rid="ref34" ref-type="bibr">Meltzer and Van de Water, 2017</xref>; <xref rid="ref12" ref-type="bibr">Garcia-Gutierrez et al., 2020</xref>). Furthermore, the gut microbiome is an integral part of the gastrointestinal tract and involved in the absorption and digestion of polysaccharides in food, and it simultaneously influences human health and the occurrence of disease (<xref rid="ref5" ref-type="bibr">Cockburn and Koropatkin, 2016</xref>). The GM has a strong connection with the central nervous system (<xref rid="ref54" ref-type="bibr">Suganya and Koo, 2020</xref>). ASD, as a heterogeneous, behaviorally defined disorder, is a neurodevelopmental disease, and the observed behavioral and cognitive features are associated with pervasive atypicalities in the central nervous system (<xref rid="ref50" ref-type="bibr">Shuid and Jayusman, 2020</xref>). Early life is a critical period for the formation and development of the nervous system, especially from maternal intervention (<xref rid="ref9" ref-type="bibr">Foong and Hung, 2020</xref>). The nutrients and risk factors in early life are all associated with the mother, and they play an important role in the GM and neural development of the offspring (<xref rid="ref2" ref-type="bibr">Buffington et al., 2016</xref>; <xref rid="ref61" ref-type="bibr">Wang et al., 2017</xref>).</p><p>To date, many studies have reported alterations in the GM of ASD children and autistic animal models (<xref rid="ref46" ref-type="bibr">Schneider and Przewłocki, 2005</xref>; <xref rid="ref24" ref-type="bibr">Ma et al., 2019</xref>; <xref rid="ref65" ref-type="bibr">Wong et al., 2021</xref>). However, due to the influence of the dietary structure and habits of ASD children, considerable heterogeneity is observed in the changes in the intestinal flora (<xref rid="ref23" ref-type="bibr">Liu et al., 2019</xref>; <xref rid="ref19" ref-type="bibr">Iglesias-Vázquez et al., 2020</xref>; <xref rid="ref70" ref-type="bibr">Zou et al., 2020</xref>). Exposure to valproic acid (VPA) during pregnancy has been demonstrated to increase the risk of autism in children (<xref rid="ref37" ref-type="bibr">Nicolini and Fahnestock, 2018</xref>). Moreover, rodents prenatally exposed to VPA display behavioral phenotypes characteristic of the human condition. At the same time, VPA-induced autism model rats are highly similar with ASD patients in terms of genetics, physiology and metabolism and have been widely used as an ideal model for studying the etiology of autism (<xref rid="ref59" ref-type="bibr">Tartaglione et al., 2019</xref>; <xref rid="ref33" ref-type="bibr">Mehra et al., 2022</xref>). In this study, the SMPS intervention was continuously administered to pregnant rats from pregnancy to lactation, and pup feces were collected at the end of lactation (PND21). In this way, the effect of SMPS on the VPA-induced intestinal flora of model rats can be more accurately explored. Through 16S rRNA gene sequencing analysis, we found that the richness and diversity of the GM showed significant differences among the SMPS, VPA and control rats, which is consistent with the findings of a previous study (<xref rid="ref14" ref-type="bibr">Gu et al., 2021</xref>). A recent report found that the richness and diversity of gut microbiota did not differ between VPA and control groups, while the overall composition of gut microbiota was significantly different (<xref rid="ref15" ref-type="bibr">Gu et al., 2022</xref>). In addition, the PCoA results revealed that the overall composition of the GM was different between the SMPS and VPA groups. At the phylum level, the taxa composition of the three groups mainly contained <italic toggle="yes">Bacteroidota, Firmicutes</italic> and <italic toggle="yes">Proteobacteria</italic>; however, the ratio of each group was different. The relative abundance of <italic toggle="yes">Firmicutes</italic> was decreased after SMPS intervention. A previous study based on gut microbiota of the ASD population found that the relative abundance of <italic toggle="yes">Firmicutes</italic> in the ASD group was increased, which is consistent with the findings for the VPA-induced model rats in the present study (<xref rid="ref53" ref-type="bibr">Strati et al., 2017</xref>). Moreover, the ratio of <italic toggle="yes">Bacteroidetes</italic> to <italic toggle="yes">Firmicutes</italic> in the VPA group was lower than that of C group, which is agreement with the provious studies of ASD children (<xref rid="ref60" ref-type="bibr">Tomova et al., 2015</xref>; <xref rid="ref53" ref-type="bibr">Strati et al., 2017</xref>). This suggests that the gut microbiota characteristics of the VPA-induced model rats are similar to those of ASD children. It was worth noted that the B/F ratio was elevated after SMPS intervention compared to the VPA group. For this, it revealed that SMPS treatment ameliorated the intestinal microbiota of VPA induced rats.</p><p>To find key biomarkers in the gut microbiota of the SMPS and VPA rats, we conducted linear discriminant analysis, which is an analytical tool for discovering and interpreting high-dimensional biological identifiers (<xref rid="ref47" ref-type="bibr">Segata et al., 2011</xref>). In the current study, the difference of taxa was significant between SMPS and VPA groups, especially in <italic toggle="yes">Prevotellaceae</italic> and <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic>. One study has reported that <italic toggle="yes">Prevotellaceae</italic> was the specific causal microbe taxa for autism spectrum disorder (<xref rid="ref36" ref-type="bibr">Ni et al., 2021</xref>). In comparative studies between ASD and normal children, the relative abundance of <italic toggle="yes">Prevotellaceae</italic> in the ASD children was significantly lower than that of control children, whereas our study indicated that SMPS intervention was able to increase the abundance of <italic toggle="yes">Prevotellaceae</italic> (<xref rid="ref40" ref-type="bibr">Pulikkan et al., 2018</xref>; <xref rid="ref42" ref-type="bibr">Qiao et al., 2018</xref>; <xref rid="ref56" ref-type="bibr">Sun et al., 2019</xref>). Moreover, the change of <italic toggle="yes">Lachnospiraceae_NK4A136_group</italic> is significantly correlated with enhanced gut barrier function (<xref rid="ref25" ref-type="bibr">Ma et al., 2020</xref>). Thus, SMPS may have an important role for regulating the dysbiosis of intestinal flora in the ASD. These findings were consistent with the effects of various plant polysaccharides on human and animal intestinal microbiota (<xref rid="ref63" ref-type="bibr">Wang et al., 2020</xref>; <xref rid="ref69" ref-type="bibr">Zhu et al., 2020</xref>; <xref rid="ref6" ref-type="bibr">Cui et al., 2021</xref>; <xref rid="ref44" ref-type="bibr">Sang et al., 2021</xref>). In addition, the functional enrichment analysis of 16S rRNA profile suggested that SMPS intervention affected biological metabolism (including starch and sucrose metabolism, biosynthesis of amino acids, galactose metabolism and other glycan degradation pathways) through regulating intestinal flora. Interestingly, the recent literature indicated that the gut microbiota had effect on brain functions through endocrine and metabolic pathways and the enteric network, especially in the onset and maintenance of neurodevelopment and neurodegenerative disorders (<xref rid="ref30" ref-type="bibr">Marazziti et al., 2021</xref>). ASD is a neurodevelopmental disease. To further explore whether SMPS intervention regulates the gut-brain axis through the gut microbiota, we performed transcriptome sequencing of the hippocampal tissue.</p><p>The early stage of life is a critical period for the formation and development of the nervous system (<xref rid="ref4" ref-type="bibr">Cisneros-Franco et al., 2020</xref>). In this study, SMPS intervention began in pregnancy and continued to the juvenile weaning period, which is the key period of brain and nervous system development in the young rats, and the nutritional source was mainly derived from the mothers. Through the transcriptomic sequencing results, we found 496 DEGs between the SMPS and VPA groups. Subsequently, GO analysis showed that these DEGs were mainly involved in collagen fibril organization, the precursor metabolite and energy generation, and purine ribonucleotide metabolic processes. Meanwhile, the KEGG analysis showed that these DEGs were enriched in oxidative phosphorylation, retrograde endocannabinoid signaling, thermogenesis, Parkinson disease, ribosome, protein digestion and absorption, renin-angiotensin system, calcium signaling pathway, phenylalanine metabolism, glycosphingolipid biosynthesis-ganglio series, and propanoate metabolism. Based on the enrichment analysis, we focused more on oxidative phosphorylation and ribosomes, which were both enriched in the GO and KEGG analyses. Some studies have reported that ASD patients possess abnormal oxidative phosphorylation, which is associated with autistic behaviors (including social interaction, abnormal behavior, and verbal communication; <xref rid="ref22" ref-type="bibr">Legido et al., 2013</xref>; <xref rid="ref35" ref-type="bibr">Napoli et al., 2014</xref>; <xref rid="ref51" ref-type="bibr">Singh et al., 2014</xref>). Many ASD patients also exhibit mitochondrial disease, and the oxidative phosphorylation process occurs precisely in the mitochondria; therefore, abnormal oxidative phosphorylation may induce impaired mitochondrial function, followed by oxidative stress, resulting in excess reactive oxygen species with certain neurotoxicity, which may be a possible cause of the occurrence of ASD (<xref rid="ref31" ref-type="bibr">Martinez-Finley et al., 2013</xref>; <xref rid="ref43" ref-type="bibr">Rose et al., 2018</xref>; <xref rid="ref1" ref-type="bibr">Bjørklund et al., 2020</xref>; <xref rid="ref29" ref-type="bibr">Manivasagam et al., 2020</xref>). After the SMPS intervention, differentially expressed genes were enriched in the oxidative phosphate signaling pathway, including 22 upregulated genes (Uqcrb, Ndufa6, Ndufa3, etc.) and 14 downregulated genes (Mt-nd3, Cox7a2l2, Mt-cyb, etc.). Development of the nervous system is carried out by complex gene expression programs that are regulated at both the transcriptional and translational levels. The production of ribosomes is essential for protein synthesis. Mutations in several ribosomal components and trans-acting ribosomal biogenesis factors result in neurodevelopmental syndromes that present with autism, intellectual deficits and/or progressive neurodegeneration (<xref rid="ref18" ref-type="bibr">Hetman and Slomnicki, 2019</xref>). One study of autistic etiology found that mice lacking the Eif4g1 microexon, which functions as a translational brake by causing ribosome stalling, displayed deficits in social behavior, learning, and memory as well as altered hippocampal synaptic plasticity (<xref rid="ref13" ref-type="bibr">Gonatopoulos-Pournatzis et al., 2020</xref>). Additionally, a previous report indicated that the individual copy number of ribosomal genes is a factor associated autism risk and severity (<xref rid="ref39" ref-type="bibr">Porokhovnik, 2019</xref>). In this study, the differentially expressed genes enriched in the ribosomal pathway included 43 upregulated genes (Rps4x, Rpl21, Mrps10, etc.) and 20 downregulated genes (Rpl39, Rps4y2, Rps13, etc.). In the KEGG enrichment analysis results, propanoate metabolism pathway also attracted our attention, which included 8 DEGs. The animal research revealed that propionic acid-treated rats display ASD-like repetitive, perseverative, and antisocial behaviors and seizure. Moreover, the neurochemical changes were consistent with findings in ASD patients, including mitochondrial dysfunction (<xref rid="ref64" ref-type="bibr">Witters et al., 2016</xref>). Propanoate metabolism pathway has bioactive effects on neurotransmitter systems, calcium release, fatty acid metabolism (<xref rid="ref26" ref-type="bibr">Macfabe, 2013</xref>). It is similarity to the GO and KEGG enrichment results of this study, which provided a scientific basis for the association of propionate metabolic pathway and ASD.</p></sec><sec sec-type="conclusions" id="sec20"><title>Conclusion</title><p>The above evidence strongly suggests that continuous SMPS intervention in the early life of autism model rats could change the diversity and composition of their GM and simultaneously affect the expression of a large number of genes. To date, this is the first study on the effects of plant polysaccharide intervention on the gut microflora and transcriptome of autism, which not only provides an important scientific basis for the role of the microbe-gut-brain axis in ASD research but also provides a new direction for the treatment of ASD.</p></sec><sec sec-type="data-availability" id="sec21"><title>Data availability statement</title><p>The original contributions presented in the study are publicly available. This data can be found at: NCBI, PRJNA870709.</p></sec><sec id="sec22"><title>Ethics statement</title><p>The animal study was reviewed and approved by Ethics Committee of Qiqihar Medical University (QMU-AECC-2021-62).</p></sec><sec id="sec23"><title>Author contributions</title><p>XY: conceptualization, project administration, and writing original manuscript. JiyL: methodology and statistical analysis. YZ: methodology. NZ: methodology and supervision. JicL: writing–review and editing. All authors contributed to the article and approved the submitted version.</p></sec><sec sec-type="funding-information" id="sec24"><title>Funding</title><p>This work was supported by the Natural Science Foundation of Heilongjiang Province (no. LH2020H131) and the National Natural Science Foundation of China (no. 82103869).</p></sec><sec sec-type="COI-statement" id="conf1"><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 sec-type="disclaimer" id="sec100"><title>Publisher’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></body><back><fn-group><fn id="fn0004"><p>
<sup>1</sup>
<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.genome.jp/kegg/" ext-link-type="uri">http://www.genome.jp/kegg/</ext-link>
</p></fn></fn-group><sec sec-type="supplementary-material" id="sec26"><title>Supplementary material</title><p>The Supplementary material for this article can be found online at: <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2022.1009502/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2022.1009502/full#supplementary-material</ext-link></p><supplementary-material id="SM1" position="float" content-type="local-data" orientation="portrait"><label>SUPPLEMENTARY FIGURE S1</label><caption><p>Alpha diversity analysis (n=8 per group). <bold>(A)</bold> Pielou index and <bold>(B)</bold> Simpson index.</p></caption><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Image_1.TIF" position="float" orientation="portrait"><?suppdata-name Image_1.TIF?><?suppdata-size 330974?><?suppdata-md5 df40d1d3c9dab9aa36c7d2592e9e966a?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type image?><?suppdata-mime-sub-type tiff?><?suppdata-cloudpmc-urn urn:app:512b/9672813/df40d1d3c9da/Image_1.TIF?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material id="SM2" position="float" content-type="local-data" orientation="portrait"><media xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="Data_Sheet_1.docx" position="float" orientation="portrait"><?suppdata-name Data_Sheet_1.docx?><?suppdata-size 19354?><?suppdata-md5 4360eabf59ca9094d767313f8a31a04b?><?suppdata-image-server-status NEVER_LOAD?><?suppdata-mime-type application?><?suppdata-mime-sub-type vnd.openxmlformats-officedocument.wordprocessingml.document?><?suppdata-cloudpmc-urn urn:app:512b/9672813/4360eabf59ca/Data_Sheet_1.docx?><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></sec><ref-list><title>References</title><ref id="ref1"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bjørklund</surname><given-names>G.</given-names></name><name name-style="western"><surname>Meguid</surname><given-names>N. A.</given-names></name><name name-style="western"><surname>El-Bana</surname><given-names>M. A.</given-names></name><name name-style="western"><surname>Tinkov</surname><given-names>A. A.</given-names></name><name name-style="western"><surname>Saad</surname><given-names>K.</given-names></name><name name-style="western"><surname>Dadar</surname><given-names>M.</given-names></name><etal/></person-group>. (<year>2020</year>). <article-title>Oxidative stress in autism Spectrum disorder</article-title>. <source>Mol. Neurobiol.</source>
<volume>57</volume>, <fpage>2314</fpage>–<lpage>2332</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12035-019-01742-2</pub-id><pub-id pub-id-type="pmid">32026227</pub-id></mixed-citation></ref><ref id="ref2"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Buffington</surname><given-names>S. A.</given-names></name><name name-style="western"><surname>Di Prisco</surname><given-names>G. V.</given-names></name><name name-style="western"><surname>Auchtung</surname><given-names>T. A.</given-names></name><name name-style="western"><surname>Ajami</surname><given-names>N. J.</given-names></name><name name-style="western"><surname>Petrosino</surname><given-names>J. F.</given-names></name><name name-style="western"><surname>Costa-Mattioli</surname><given-names>M.</given-names></name></person-group> (<year>2016</year>). <article-title>Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspring</article-title>. <source>Cells</source>
<volume>165</volume>, <fpage>1762</fpage>–<lpage>1775</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2016.06.001</pub-id>, PMID: <pub-id pub-id-type="pmid">27315483</pub-id><pub-id pub-id-type="pmcid">PMC5102250</pub-id></mixed-citation></ref><ref id="ref3"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Chen</surname><given-names>Q.</given-names></name><name name-style="western"><surname>Ren</surname><given-names>R.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>Q.</given-names></name><name name-style="western"><surname>Wu</surname><given-names>J.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Xue</surname><given-names>M.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title><italic toggle="yes">Coptis chinensis</italic> Franch polysaccharides provide a dynamically regulation on intestinal microenvironment, based on the intestinal flora and mucosal immunity</article-title>. <source>J. Ethnopharmacol.</source>
<volume>267</volume>:<fpage>113542</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jep.2020.113542</pub-id>, PMID: <pub-id pub-id-type="pmid">33152428</pub-id></mixed-citation></ref><ref id="ref4"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Cisneros-Franco</surname><given-names>J. M.</given-names></name><name name-style="western"><surname>Voss</surname><given-names>P.</given-names></name><name name-style="western"><surname>Thomas</surname><given-names>M. E.</given-names></name><name name-style="western"><surname>de Villers-Sidani</surname><given-names>E.</given-names></name></person-group> (<year>2020</year>). <article-title>Critical periods of brain development</article-title>. <source>Handb. Clin. Neurol.</source>
<volume>173</volume>, <fpage>75</fpage>–<lpage>88</lpage>. doi: <pub-id pub-id-type="doi">10.1016/b978-0-444-64150-2.00009-5</pub-id><pub-id pub-id-type="pmid">32958196</pub-id></mixed-citation></ref><ref id="ref5"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Cockburn</surname><given-names>D. W.</given-names></name><name name-style="western"><surname>Koropatkin</surname><given-names>N. M.</given-names></name></person-group> (<year>2016</year>). <article-title>Polysaccharide degradation by the intestinal microbiota and its influence on human health and disease</article-title>. <source>J. Mol. Biol.</source>
<volume>428</volume>, <fpage>3230</fpage>–<lpage>3252</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jmb.2016.06.021</pub-id><pub-id pub-id-type="pmid">27393306</pub-id></mixed-citation></ref><ref id="ref6"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Cui</surname><given-names>L.</given-names></name><name name-style="western"><surname>Guan</surname><given-names>X.</given-names></name><name name-style="western"><surname>Ding</surname><given-names>W.</given-names></name><name name-style="western"><surname>Luo</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>W.</given-names></name><name name-style="western"><surname>Bu</surname><given-names>W.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title><italic toggle="yes">Scutellaria baicalensis</italic> Georgi polysaccharide ameliorates DSS-induced ulcerative colitis by improving intestinal barrier function and modulating gut microbiota</article-title>. <source>Int. J. Biol. Macromol.</source>
<volume>166</volume>, <fpage>1035</fpage>–<lpage>1045</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ijbiomac.2020.10.259</pub-id>, PMID: <pub-id pub-id-type="pmid">33157130</pub-id></mixed-citation></ref><ref id="ref7"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Endreffy</surname><given-names>I.</given-names></name><name name-style="western"><surname>Bjørklund</surname><given-names>G.</given-names></name></person-group> (<year>2016</year>). <article-title>Acid glycosaminoglycan (aGAG) excretion is increased in children with autism spectrum disorder, and it can be controlled by diet</article-title>. <source>Metabolic Brain Disease</source>
<volume>31</volume>, <fpage>273</fpage>–<lpage>278</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11011-015-9745-2</pub-id><pub-id pub-id-type="pmid">26464064</pub-id></mixed-citation></ref><ref id="ref8"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ferguson</surname><given-names>B. J.</given-names></name><name name-style="western"><surname>Dovgan</surname><given-names>K.</given-names></name><name name-style="western"><surname>Takahashi</surname><given-names>N.</given-names></name><name name-style="western"><surname>Beversdorf</surname><given-names>D. Q.</given-names></name></person-group> (<year>2019</year>). <article-title>The relationship among gastrointestinal symptoms, problem behaviors, and internalizing symptoms in children and adolescents with autism Spectrum disorder</article-title>. <source>Front. Psych.</source>
<volume>10</volume>:<fpage>194</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpsyt.2019.00194</pub-id>, PMID: <pub-id pub-id-type="pmid">31024357</pub-id><pub-id pub-id-type="pmcid">PMC6465634</pub-id></mixed-citation></ref><ref id="ref9"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Foong</surname><given-names>J. P. P.</given-names></name><name name-style="western"><surname>Hung</surname><given-names>L. Y.</given-names></name></person-group> (<year>2020</year>). <article-title>Early life interaction between the microbiota and the enteric nervous system</article-title>. <source>Am. J. Physiol.-Gastrointestinal Liver Physiol.</source>
<volume>319</volume>, <fpage>G541</fpage>–<lpage>g548</lpage>. doi: <pub-id pub-id-type="doi">10.1152/ajpgi.00288.2020</pub-id>, PMID: <pub-id pub-id-type="pmid">32902314</pub-id><pub-id pub-id-type="pmcid">PMC8087348</pub-id></mixed-citation></ref><ref id="ref10"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Fu</surname><given-names>S. C.</given-names></name><name name-style="western"><surname>Lee</surname><given-names>C. H.</given-names></name></person-group> (<year>2021</year>). <article-title>Exploring the association of autism spectrum disorders and constipation through analysis of the gut microbiome</article-title>. <source>Int. J. Environ. Res. Public Health</source>
<volume>18</volume>:<fpage>667</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph18020667</pub-id>, PMID: <pub-id pub-id-type="pmid">33466802</pub-id><pub-id pub-id-type="pmcid">PMC7830459</pub-id></mixed-citation></ref><ref id="ref11"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Gabriele</surname><given-names>S.</given-names></name><name name-style="western"><surname>Sacco</surname><given-names>R.</given-names></name><name name-style="western"><surname>Altieri</surname><given-names>L.</given-names></name><name name-style="western"><surname>Neri</surname><given-names>C.</given-names></name><name name-style="western"><surname>Urbani</surname><given-names>A.</given-names></name><name name-style="western"><surname>Bravaccio</surname><given-names>C.</given-names></name><etal/></person-group>. (<year>2016</year>). <article-title>Slow intestinal transit contributes to elevate urinary p-cresol level in Italian autistic children</article-title>. <source>Autism Res.</source>
<volume>9</volume>, <fpage>752</fpage>–<lpage>759</lpage>. doi: <pub-id pub-id-type="doi">10.1002/aur.1571</pub-id>, PMID: <pub-id pub-id-type="pmid">26437875</pub-id></mixed-citation></ref><ref id="ref12"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Garcia-Gutierrez</surname><given-names>E.</given-names></name><name name-style="western"><surname>Narbad</surname><given-names>A.</given-names></name><name name-style="western"><surname>Rodríguez</surname><given-names>J. M.</given-names></name></person-group> (<year>2020</year>). <article-title>Autism spectrum disorder associated with gut microbiota at immune, metabolomic, and neuroactive level</article-title>. <source>Front. Neurosci.</source>
<volume>14</volume>:<fpage>578666</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnins.2020.578666</pub-id>, PMID: <pub-id pub-id-type="pmid">33117122</pub-id><pub-id pub-id-type="pmcid">PMC7578228</pub-id></mixed-citation></ref><ref id="ref13"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Gonatopoulos-Pournatzis</surname><given-names>T.</given-names></name><name name-style="western"><surname>Niibori</surname><given-names>R.</given-names></name><name name-style="western"><surname>Salter</surname><given-names>E. W.</given-names></name><name name-style="western"><surname>Weatheritt</surname><given-names>R. J.</given-names></name><name name-style="western"><surname>Tsang</surname><given-names>B.</given-names></name><name name-style="western"><surname>Farhangmehr</surname><given-names>S.</given-names></name><etal/></person-group>. (<year>2020</year>). <article-title>Autism-Misregulated eIF4G microexons control synaptic translation and higher order cognitive functions</article-title>. <source>Mol. Cell</source>
<volume>77</volume>, <fpage>1176</fpage>–<lpage>1192.e16</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.molcel.2020.01.006</pub-id>, PMID: <pub-id pub-id-type="pmid">31999954</pub-id></mixed-citation></ref><ref id="ref14"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Gu</surname><given-names>Y. Y.</given-names></name><name name-style="western"><surname>Han</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Liang</surname><given-names>J. J.</given-names></name><name name-style="western"><surname>Cui</surname><given-names>Y. N.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>B.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>Y.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title>Sex-specific differences in the gut microbiota and fecal metabolites in an adolescent valproic acid-induced rat autism model</article-title>. <source>Front. Biosci. (Landmark Ed)</source>
<volume>26</volume>, <fpage>1585</fpage>–<lpage>1598</lpage>. doi: <pub-id pub-id-type="doi">10.52586/5051</pub-id><pub-id pub-id-type="pmid">34994172</pub-id></mixed-citation></ref><ref id="ref15"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Gu</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Han</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Ren</surname><given-names>S.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>B.</given-names></name><name name-style="western"><surname>Zhao</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>X.</given-names></name><etal/></person-group>. (<year>2022</year>). <article-title>Correlation among gut microbiota, fecal metabolites and autism-like behavior in an adolescent valproic acid-induced rat autism model</article-title>. <source>Behav. Brain Res.</source>
<volume>417</volume>:<fpage>113580</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbr.2021.113580</pub-id>, PMID: <pub-id pub-id-type="pmid">34555431</pub-id></mixed-citation></ref><ref id="ref16"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Gudi</surname><given-names>R.</given-names></name><name name-style="western"><surname>Perez</surname><given-names>N.</given-names></name><name name-style="western"><surname>Johnson</surname><given-names>B. M.</given-names></name><name name-style="western"><surname>Sofi</surname><given-names>M. H.</given-names></name><name name-style="western"><surname>Brown</surname><given-names>R.</given-names></name><name name-style="western"><surname>Quan</surname><given-names>S.</given-names></name><etal/></person-group>. (<year>2019</year>). <article-title>Complex dietary polysaccharide modulates gut immune function and microbiota, and promotes protection from autoimmune diabetes</article-title>. <source>Immunology</source>
<volume>157</volume>, <fpage>70</fpage>–<lpage>85</lpage>. doi: <pub-id pub-id-type="doi">10.1111/imm.13048</pub-id>, PMID: <pub-id pub-id-type="pmid">30712258</pub-id><pub-id pub-id-type="pmcid">PMC6459770</pub-id></mixed-citation></ref><ref id="ref17"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Guo</surname><given-names>C.</given-names></name><name name-style="western"><surname>Guo</surname><given-names>D.</given-names></name><name name-style="western"><surname>Fang</surname><given-names>L.</given-names></name><name name-style="western"><surname>Sang</surname><given-names>T.</given-names></name><name name-style="western"><surname>Wu</surname><given-names>J.</given-names></name><name name-style="western"><surname>Guo</surname><given-names>C.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title><italic toggle="yes">Ganoderma lucidum</italic> polysaccharide modulates gut microbiota and immune cell function to inhibit inflammation and tumorigenesis in colon</article-title>. <source>Carbohydr. Polym.</source>
<volume>267</volume>:<fpage>118231</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.carbpol.2021.118231</pub-id>, PMID: <pub-id pub-id-type="pmid">34119183</pub-id></mixed-citation></ref><ref id="ref18"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Hetman</surname><given-names>M.</given-names></name><name name-style="western"><surname>Slomnicki</surname><given-names>L. P.</given-names></name></person-group> (<year>2019</year>). <article-title>Ribosomal biogenesis as an emerging target of neurodevelopmental pathologies</article-title>. <source>J. Neurochem.</source>
<volume>148</volume>, <fpage>325</fpage>–<lpage>347</lpage>. doi: <pub-id pub-id-type="doi">10.1111/jnc.14576</pub-id>, PMID: <pub-id pub-id-type="pmid">30144322</pub-id><pub-id pub-id-type="pmcid">PMC6347560</pub-id></mixed-citation></ref><ref id="ref19"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Iglesias-Vázquez</surname><given-names>L.</given-names></name><name name-style="western"><surname>Van Ginkel Riba</surname><given-names>G.</given-names></name><name name-style="western"><surname>Arija</surname><given-names>V.</given-names></name><name name-style="western"><surname>Canals</surname><given-names>J.</given-names></name></person-group> (<year>2020</year>). <article-title>Composition of gut microbiota in children with autism spectrum disorder: a systematic review and meta-analysis</article-title>. <source>Nutrients</source>
<volume>12</volume>:<fpage>792</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu12030792</pub-id>, PMID: <pub-id pub-id-type="pmid">32192218</pub-id><pub-id pub-id-type="pmcid">PMC7146354</pub-id></mixed-citation></ref><ref id="ref20"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kamimura</surname><given-names>K.</given-names></name><name name-style="western"><surname>Maeda</surname><given-names>N.</given-names></name></person-group> (<year>2021</year>). <article-title>Glypicans and Heparan sulfate in synaptic development, neural plasticity, and neurological disorders</article-title>. <source>Front. Neural. Circuits</source>
<volume>15</volume>:<fpage>595596</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fncir.2021.595596</pub-id>, PMID: <pub-id pub-id-type="pmid">33679334</pub-id><pub-id pub-id-type="pmcid">PMC7928303</pub-id></mixed-citation></ref><ref id="ref21"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Kang</surname><given-names>D. W.</given-names></name><name name-style="western"><surname>Adams</surname><given-names>J. B.</given-names></name><name name-style="western"><surname>Gregory</surname><given-names>A. C.</given-names></name><name name-style="western"><surname>Borody</surname><given-names>T.</given-names></name><name name-style="western"><surname>Chittick</surname><given-names>L.</given-names></name><name name-style="western"><surname>Fasano</surname><given-names>A.</given-names></name><etal/></person-group>. (<year>2017</year>). <article-title>Microbiota transfer therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: an open-label study</article-title>. <source>Microbiome</source>
<volume>5</volume>:<fpage>10</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40168-016-0225-7</pub-id>, PMID: <pub-id pub-id-type="pmid">28122648</pub-id><pub-id pub-id-type="pmcid">PMC5264285</pub-id></mixed-citation></ref><ref id="ref22"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Legido</surname><given-names>A.</given-names></name><name name-style="western"><surname>Jethva</surname><given-names>R.</given-names></name><name name-style="western"><surname>Goldenthal</surname><given-names>M. J.</given-names></name></person-group> (<year>2013</year>). <article-title>Mitochondrial dysfunction in autism</article-title>. <source>Semin. Pediatr. Neurol.</source>
<volume>20</volume>, <fpage>163</fpage>–<lpage>175</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.spen.2013.10.008</pub-id><pub-id pub-id-type="pmid">24331358</pub-id></mixed-citation></ref><ref id="ref23"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Liu</surname><given-names>S.</given-names></name><name name-style="western"><surname>Li</surname><given-names>E.</given-names></name><name name-style="western"><surname>Sun</surname><given-names>Z.</given-names></name><name name-style="western"><surname>Fu</surname><given-names>D.</given-names></name><name name-style="western"><surname>Duan</surname><given-names>G.</given-names></name><name name-style="western"><surname>Jiang</surname><given-names>M.</given-names></name><etal/></person-group>. (<year>2019</year>). <article-title>Altered gut microbiota and short chain fatty acids in Chinese children with autism spectrum disorder</article-title>. <source>Sci. Rep.</source>
<volume>9</volume>:<fpage>287</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-018-36430-z</pub-id>, PMID: <pub-id pub-id-type="pmid">30670726</pub-id><pub-id pub-id-type="pmcid">PMC6342986</pub-id></mixed-citation></ref><ref id="ref24"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ma</surname><given-names>B.</given-names></name><name name-style="western"><surname>Liang</surname><given-names>J.</given-names></name><name name-style="western"><surname>Dai</surname><given-names>M.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>J.</given-names></name><name name-style="western"><surname>Luo</surname><given-names>J.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>Z.</given-names></name><etal/></person-group>. (<year>2019</year>). <article-title>Altered gut microbiota in Chinese children with autism Spectrum disorders</article-title>. <source>Front. Cell. Infect. Microbiol.</source>
<volume>9</volume>:<fpage>40</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fcimb.2019.00040</pub-id>, PMID: <pub-id pub-id-type="pmid">30895172</pub-id><pub-id pub-id-type="pmcid">PMC6414714</pub-id></mixed-citation></ref><ref id="ref25"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ma</surname><given-names>L.</given-names></name><name name-style="western"><surname>Ni</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>Z.</given-names></name><name name-style="western"><surname>Tu</surname><given-names>W.</given-names></name><name name-style="western"><surname>Ni</surname><given-names>L.</given-names></name><name name-style="western"><surname>Zhuge</surname><given-names>F.</given-names></name><etal/></person-group>. (<year>2020</year>). <article-title>Spermidine improves gut barrier integrity and gut microbiota function in diet-induced obese mice</article-title>. <source>Gut Microbes</source>
<volume>12</volume>, <fpage>1832857</fpage>–<lpage>1832819</lpage>. doi: <pub-id pub-id-type="doi">10.1080/19490976.2020.1832857</pub-id>, PMID: <pub-id pub-id-type="pmid">33151120</pub-id><pub-id pub-id-type="pmcid">PMC7668533</pub-id></mixed-citation></ref><ref id="ref26"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Macfabe</surname><given-names>D.</given-names></name></person-group> (<year>2013</year>). <article-title>Autism: metabolism, mitochondria, and the microbiome</article-title>. <source>Glob. Adv. Health Med.</source>
<volume>2</volume>, <fpage>52</fpage>–<lpage>66</lpage>. doi: <pub-id pub-id-type="doi">10.7453/gahmj.2013.089</pub-id>, PMID: <pub-id pub-id-type="pmid">24416709</pub-id><pub-id pub-id-type="pmcid">PMC3865378</pub-id></mixed-citation></ref><ref id="ref27"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Madra</surname><given-names>M.</given-names></name><name name-style="western"><surname>Ringel</surname><given-names>R.</given-names></name><name name-style="western"><surname>Margolis</surname><given-names>K. G.</given-names></name></person-group> (<year>2020</year>). <article-title>Gastrointestinal issues and autism spectrum disorder</article-title>. <source>Child Adolesc. Psychiatr. Clin. N. Am.</source>
<volume>29</volume>, <fpage>501</fpage>–<lpage>513</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.chc.2020.02.005</pub-id>, PMID: <pub-id pub-id-type="pmid">32471598</pub-id><pub-id pub-id-type="pmcid">PMC8608248</pub-id></mixed-citation></ref><ref id="ref28"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Madra</surname><given-names>M.</given-names></name><name name-style="western"><surname>Ringel</surname><given-names>R.</given-names></name><name name-style="western"><surname>Margolis</surname><given-names>K. G.</given-names></name></person-group> (<year>2021</year>). <article-title>Gastrointestinal issues and autism spectrum disorder</article-title>. <source>Psychiatr. Clin. North Am.</source>
<volume>44</volume>, <fpage>69</fpage>–<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.psc.2020.11.006</pub-id>, PMID: <pub-id pub-id-type="pmid">33526238</pub-id><pub-id pub-id-type="pmcid">PMC8638778</pub-id></mixed-citation></ref><ref id="ref29"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Manivasagam</surname><given-names>T.</given-names></name><name name-style="western"><surname>Arunadevi</surname><given-names>S.</given-names></name><name name-style="western"><surname>Essa</surname><given-names>M. M.</given-names></name><name name-style="western"><surname>Saravana Babu</surname><given-names>C.</given-names></name><name name-style="western"><surname>Borah</surname><given-names>A.</given-names></name><name name-style="western"><surname>Thenmozhi</surname><given-names>A. J.</given-names></name><etal/></person-group>. (<year>2020</year>). <article-title>Role of oxidative stress and antioxidants in autism</article-title>. <source>Adv Neurobiol</source>
<volume>24</volume>, <fpage>193</fpage>–<lpage>206</lpage>. doi: <pub-id pub-id-type="doi">10.1007/978-3-030-30402-7_7</pub-id><pub-id pub-id-type="pmid">32006361</pub-id></mixed-citation></ref><ref id="ref30"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Marazziti</surname><given-names>D.</given-names></name><name name-style="western"><surname>Buccianelli</surname><given-names>B.</given-names></name><name name-style="western"><surname>Palermo</surname><given-names>S.</given-names></name><name name-style="western"><surname>Parra</surname><given-names>E.</given-names></name><name name-style="western"><surname>Arone</surname><given-names>A.</given-names></name></person-group> (<year>2021</year>). <article-title>The microbiota/microbiome and the gut-brain axis: how much do they matter in psychiatry?</article-title>
<source>Life (Basel)</source>
<volume>11</volume>:<fpage>760</fpage>. doi: <pub-id pub-id-type="doi">10.3390/life11080760</pub-id>, PMID: <pub-id pub-id-type="pmid">34440503</pub-id><pub-id pub-id-type="pmcid">PMC8401073</pub-id></mixed-citation></ref><ref id="ref31"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Martinez-Finley</surname><given-names>E. J.</given-names></name><name name-style="western"><surname>Gavin</surname><given-names>C. E.</given-names></name><name name-style="western"><surname>Aschner</surname><given-names>M.</given-names></name><name name-style="western"><surname>Gunter</surname><given-names>T. E.</given-names></name></person-group> (<year>2013</year>). <article-title>Manganese neurotoxicity and the role of reactive oxygen species</article-title>. <source>Free Radic. Biol. Med.</source>
<volume>62</volume>, <fpage>65</fpage>–<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.freeradbiomed.2013.01.032</pub-id>, PMID: <pub-id pub-id-type="pmid">23395780</pub-id><pub-id pub-id-type="pmcid">PMC3713115</pub-id></mixed-citation></ref><ref id="ref32"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Martínez-González</surname><given-names>A. E.</given-names></name><name name-style="western"><surname>Andreo-Martínez</surname><given-names>P.</given-names></name></person-group> (<year>2020</year>). <article-title>Prebiotics, probiotics and fecal microbiota transplantation in autism: a systematic review</article-title>. <source>Rev. Psiquiatr. Salud. Ment. (Engl Ed)</source>
<volume>13</volume>, <fpage>150</fpage>–<lpage>164</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.rpsm.2020.06.002</pub-id>, PMID: <pub-id pub-id-type="pmid">32684346</pub-id></mixed-citation></ref><ref id="ref33"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Mehra</surname><given-names>S.</given-names></name><name name-style="western"><surname>Ul Ahsan</surname><given-names>A.</given-names></name><name name-style="western"><surname>Seth</surname><given-names>E.</given-names></name><name name-style="western"><surname>Chopra</surname><given-names>M.</given-names></name></person-group> (<year>2022</year>). <article-title>Critical evaluation of Valproic acid-induced rodent models of autism: current and future perspectives</article-title>. <source>J. Mol. Neurosci.</source>
<volume>72</volume>, <fpage>1259</fpage>–<lpage>1273</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12031-022-02033-7</pub-id><pub-id pub-id-type="pmid">35635674</pub-id></mixed-citation></ref><ref id="ref34"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Meltzer</surname><given-names>A.</given-names></name><name name-style="western"><surname>Van de Water</surname><given-names>J.</given-names></name></person-group> (<year>2017</year>). <article-title>The role of the immune system in autism Spectrum disorder</article-title>. <source>Neuropsychopharmacology</source>
<volume>42</volume>, <fpage>284</fpage>–<lpage>298</lpage>. doi: <pub-id pub-id-type="doi">10.1038/npp.2016.158</pub-id>, PMID: <pub-id pub-id-type="pmid">27534269</pub-id><pub-id pub-id-type="pmcid">PMC5143489</pub-id></mixed-citation></ref><ref id="ref35"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Napoli</surname><given-names>E.</given-names></name><name name-style="western"><surname>Wong</surname><given-names>S.</given-names></name><name name-style="western"><surname>Hertz-Picciotto</surname><given-names>I.</given-names></name><name name-style="western"><surname>Giulivi</surname><given-names>C.</given-names></name></person-group> (<year>2014</year>). <article-title>Deficits in bioenergetics and impaired immune response in granulocytes from children with autism</article-title>. <source>Pediatrics</source>
<volume>133</volume>, <fpage>e1405</fpage>–<lpage>e1410</lpage>. doi: <pub-id pub-id-type="doi">10.1542/peds.2013-1545</pub-id>, PMID: <pub-id pub-id-type="pmid">24753527</pub-id><pub-id pub-id-type="pmcid">PMC4006429</pub-id></mixed-citation></ref><ref id="ref36"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ni</surname><given-names>J. J.</given-names></name><name name-style="western"><surname>Xu</surname><given-names>Q.</given-names></name><name name-style="western"><surname>Yan</surname><given-names>S. S.</given-names></name><name name-style="western"><surname>Han</surname><given-names>B. X.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>H.</given-names></name><name name-style="western"><surname>Wei</surname><given-names>X. T.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title>Gut microbiota and psychiatric disorders: a two-sample Mendelian randomization study</article-title>. <source>Front. Microbiol.</source>
<volume>12</volume>:<fpage>737197</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fmicb.2021.737197</pub-id>, PMID: <pub-id pub-id-type="pmid">35185808</pub-id><pub-id pub-id-type="pmcid">PMC8856606</pub-id></mixed-citation></ref><ref id="ref37"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Nicolini</surname><given-names>C.</given-names></name><name name-style="western"><surname>Fahnestock</surname><given-names>M.</given-names></name></person-group> (<year>2018</year>). <article-title>The valproic acid-induced rodent model of autism</article-title>. <source>Exp. Neurol.</source>
<volume>299</volume>, <fpage>217</fpage>–<lpage>227</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.expneurol.2017.04.017</pub-id><pub-id pub-id-type="pmid">28472621</pub-id></mixed-citation></ref><ref id="ref38"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Pequegnat</surname><given-names>B.</given-names></name><name name-style="western"><surname>Sagermann</surname><given-names>M.</given-names></name><name name-style="western"><surname>Valliani</surname><given-names>M.</given-names></name><name name-style="western"><surname>Toh</surname><given-names>M.</given-names></name><name name-style="western"><surname>Chow</surname><given-names>H.</given-names></name><name name-style="western"><surname>Allen-Vercoe</surname><given-names>E.</given-names></name><etal/></person-group>. (<year>2013</year>). <article-title>A vaccine and diagnostic target for clostridium bolteae, an autism-associated bacterium</article-title>. <source>Vaccine</source>
<volume>31</volume>, <fpage>2787</fpage>–<lpage>2790</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.vaccine.2013.04.018</pub-id>, PMID: <pub-id pub-id-type="pmid">23602537</pub-id></mixed-citation></ref><ref id="ref39"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Porokhovnik</surname><given-names>L.</given-names></name></person-group> (<year>2019</year>). <article-title>Individual copy number of ribosomal genes as a factor of mental retardation and autism risk and severity</article-title>. <source>Cells</source>
<volume>8</volume>:<fpage>1151</fpage>. doi: <pub-id pub-id-type="doi">10.3390/cells8101151</pub-id>, PMID: <pub-id pub-id-type="pmid">31561466</pub-id><pub-id pub-id-type="pmcid">PMC6830322</pub-id></mixed-citation></ref><ref id="ref40"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Pulikkan</surname><given-names>J.</given-names></name><name name-style="western"><surname>Maji</surname><given-names>A.</given-names></name><name name-style="western"><surname>Dhakan</surname><given-names>D. B.</given-names></name><name name-style="western"><surname>Saxena</surname><given-names>R.</given-names></name><name name-style="western"><surname>Mohan</surname><given-names>B.</given-names></name><name name-style="western"><surname>Anto</surname><given-names>M. M.</given-names></name><etal/></person-group>. (<year>2018</year>). <article-title>Gut microbial Dysbiosis in Indian children with autism spectrum disorders</article-title>. <source>Microb. Ecol.</source>
<volume>76</volume>, <fpage>1102</fpage>–<lpage>1114</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00248-018-1176-2</pub-id>, PMID: <pub-id pub-id-type="pmid">29564487</pub-id></mixed-citation></ref><ref id="ref41"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Pulikkan</surname><given-names>J.</given-names></name><name name-style="western"><surname>Mazumder</surname><given-names>A.</given-names></name><name name-style="western"><surname>Grace</surname><given-names>T.</given-names></name></person-group> (<year>2019</year>). <article-title>Role of the gut microbiome in autism spectrum disorders</article-title>. <source>Adv. Exp. Med. Biol.</source>
<volume>1118</volume>, <fpage>253</fpage>–<lpage>269</lpage>. doi: <pub-id pub-id-type="doi">10.1007/978-3-030-05542-4_13</pub-id><pub-id pub-id-type="pmid">30747427</pub-id></mixed-citation></ref><ref id="ref42"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Qiao</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Wu</surname><given-names>M.</given-names></name><name name-style="western"><surname>Feng</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Zhou</surname><given-names>Z.</given-names></name><name name-style="western"><surname>Chen</surname><given-names>L.</given-names></name><name name-style="western"><surname>Chen</surname><given-names>F.</given-names></name></person-group> (<year>2018</year>). <article-title>Alterations of oral microbiota distinguish children with autism spectrum disorders from healthy controls</article-title>. <source>Sci. Rep.</source>
<volume>8</volume>:<fpage>1597</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-018-19982-y</pub-id>, PMID: <pub-id pub-id-type="pmid">29371629</pub-id><pub-id pub-id-type="pmcid">PMC5785483</pub-id></mixed-citation></ref><ref id="ref43"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Rose</surname><given-names>S.</given-names></name><name name-style="western"><surname>Niyazov</surname><given-names>D. M.</given-names></name><name name-style="western"><surname>Rossignol</surname><given-names>D. A.</given-names></name><name name-style="western"><surname>Goldenthal</surname><given-names>M.</given-names></name><name name-style="western"><surname>Kahler</surname><given-names>S. G.</given-names></name><name name-style="western"><surname>Frye</surname><given-names>R. E.</given-names></name></person-group> (<year>2018</year>). <article-title>Clinical and molecular characteristics of mitochondrial dysfunction in autism spectrum disorder</article-title>. <source>Mol. Diagn. Ther.</source>
<volume>22</volume>, <fpage>571</fpage>–<lpage>593</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40291-018-0352-x</pub-id>, PMID: <pub-id pub-id-type="pmid">30039193</pub-id><pub-id pub-id-type="pmcid">PMC6132446</pub-id></mixed-citation></ref><ref id="ref44"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Sang</surname><given-names>T.</given-names></name><name name-style="western"><surname>Guo</surname><given-names>C.</given-names></name><name name-style="western"><surname>Guo</surname><given-names>D.</given-names></name><name name-style="western"><surname>Wu</surname><given-names>J.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>Y.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title>Suppression of obesity and inflammation by polysaccharide from sporoderm-broken spore of Ganoderma lucidum via gut microbiota regulation</article-title>. <source>Carbohydr. Polym.</source>
<volume>256</volume>:<fpage>117594</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.carbpol.2020.117594</pub-id>, PMID: <pub-id pub-id-type="pmid">33483079</pub-id></mixed-citation></ref><ref id="ref45"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Saurman</surname><given-names>V.</given-names></name><name name-style="western"><surname>Margolis</surname><given-names>K. G.</given-names></name><name name-style="western"><surname>Luna</surname><given-names>R. A.</given-names></name></person-group> (<year>2020</year>). <article-title>Autism spectrum disorder as a brain-gut-microbiome axis disorder</article-title>. <source>Dig. Dis. Sci.</source>
<volume>65</volume>, <fpage>818</fpage>–<lpage>828</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10620-020-06133-5</pub-id>, PMID: <pub-id pub-id-type="pmid">32056091</pub-id><pub-id pub-id-type="pmcid">PMC7580230</pub-id></mixed-citation></ref><ref id="ref46"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Schneider</surname><given-names>T.</given-names></name><name name-style="western"><surname>Przewłocki</surname><given-names>R.</given-names></name></person-group> (<year>2005</year>). <article-title>Behavioral alterations in rats prenatally exposed to valproic acid: animal model of autism</article-title>. <source>Neuropsychopharmacology</source>
<volume>30</volume>, <fpage>80</fpage>–<lpage>89</lpage>. doi: <pub-id pub-id-type="doi">10.1038/sj.npp.1300518</pub-id>, PMID: <pub-id pub-id-type="pmid">15238991</pub-id></mixed-citation></ref><ref id="ref47"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Segata</surname><given-names>N.</given-names></name><name name-style="western"><surname>Izard</surname><given-names>J.</given-names></name><name name-style="western"><surname>Waldron</surname><given-names>L.</given-names></name><name name-style="western"><surname>Gevers</surname><given-names>D.</given-names></name><name name-style="western"><surname>Miropolsky</surname><given-names>L.</given-names></name><name name-style="western"><surname>Garrett</surname><given-names>W. S.</given-names></name><etal/></person-group>. (<year>2011</year>). <article-title>Metagenomic biomarker discovery and explanation</article-title>. <source>Genome Biol.</source>
<volume>12</volume>:<fpage>R60</fpage>. doi: <pub-id pub-id-type="doi">10.1186/gb-2011-12-6-r60</pub-id>, PMID: <pub-id pub-id-type="pmid">21702898</pub-id><pub-id pub-id-type="pmcid">PMC3218848</pub-id></mixed-citation></ref><ref id="ref48"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Settanni</surname><given-names>C. R.</given-names></name><name name-style="western"><surname>Bibbò</surname><given-names>S.</given-names></name><name name-style="western"><surname>Ianiro</surname><given-names>G.</given-names></name><name name-style="western"><surname>Rinninella</surname><given-names>E.</given-names></name><name name-style="western"><surname>Cintoni</surname><given-names>M.</given-names></name></person-group> (<year>2021</year>). <article-title>Gastrointestinal involvement of autism spectrum disorder: focus on gut microbiota</article-title>. <source>Expert Rev. Gastroenterol. Hepatol.</source>
<volume>15</volume>, <fpage>599</fpage>–<lpage>622</lpage>. doi: <pub-id pub-id-type="doi">10.1080/17474124.2021.1869938</pub-id>, PMID: <pub-id pub-id-type="pmid">33356668</pub-id></mixed-citation></ref><ref id="ref49"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Sgritta</surname><given-names>M.</given-names></name><name name-style="western"><surname>Dooling</surname><given-names>S. W.</given-names></name><name name-style="western"><surname>Buffington</surname><given-names>S. A.</given-names></name><name name-style="western"><surname>Momin</surname><given-names>E. N.</given-names></name><name name-style="western"><surname>Francis</surname><given-names>M. B.</given-names></name><name name-style="western"><surname>Britton</surname><given-names>R. A.</given-names></name><etal/></person-group>. (<year>2019</year>). <article-title>Mechanisms underlying microbial-mediated changes in social behavior in mouse models of autism Spectrum disorder</article-title>. <source>Neuron</source>
<volume>101</volume>, <fpage>246</fpage>–<lpage>259.e6</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2018.11.018</pub-id>, PMID: <pub-id pub-id-type="pmid">30522820</pub-id><pub-id pub-id-type="pmcid">PMC6645363</pub-id></mixed-citation></ref><ref id="ref50"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Shuid</surname><given-names>A. N.</given-names></name><name name-style="western"><surname>Jayusman</surname><given-names>P. A.</given-names></name></person-group> (<year>2020</year>). <article-title>Update on Atypicalities of central nervous system in autism spectrum disorder</article-title>. <source>Brain Sci.</source>
<volume>10</volume>:<fpage>309</fpage>. doi: <pub-id pub-id-type="doi">10.3390/brainsci10050309</pub-id>, PMID: <pub-id pub-id-type="pmid">32443912</pub-id><pub-id pub-id-type="pmcid">PMC7287879</pub-id></mixed-citation></ref><ref id="ref51"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Singh</surname><given-names>K.</given-names></name><name name-style="western"><surname>Connors</surname><given-names>S. L.</given-names></name><name name-style="western"><surname>Macklin</surname><given-names>E. A.</given-names></name><name name-style="western"><surname>Smith</surname><given-names>K. D.</given-names></name><name name-style="western"><surname>Fahey</surname><given-names>J. W.</given-names></name><name name-style="western"><surname>Talalay</surname><given-names>P.</given-names></name><etal/></person-group>. (<year>2014</year>). <article-title>Sulforaphane treatment of autism spectrum disorder (ASD)</article-title>. <source>Proc. Natl. Acad. Sci. U. S. A.</source>
<volume>111</volume>, <fpage>15550</fpage>–<lpage>15555</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1416940111</pub-id>, PMID: <pub-id pub-id-type="pmid">25313065</pub-id><pub-id pub-id-type="pmcid">PMC4217462</pub-id></mixed-citation></ref><ref id="ref52"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Socała</surname><given-names>K.</given-names></name><name name-style="western"><surname>Doboszewska</surname><given-names>U.</given-names></name><name name-style="western"><surname>Szopa</surname><given-names>A.</given-names></name><name name-style="western"><surname>Serefko</surname><given-names>A.</given-names></name><name name-style="western"><surname>Włodarczyk</surname><given-names>M.</given-names></name><name name-style="western"><surname>Zielińska</surname><given-names>A.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title>The role of microbiota-gut-brain axis in neuropsychiatric and neurological disorders</article-title>. <source>Pharmacol. Res.</source>
<volume>172</volume>:<fpage>105840</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.phrs.2021.105840</pub-id>, PMID: <pub-id pub-id-type="pmid">34450312</pub-id></mixed-citation></ref><ref id="ref53"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Strati</surname><given-names>F.</given-names></name><name name-style="western"><surname>Cavalieri</surname><given-names>D.</given-names></name><name name-style="western"><surname>Albanese</surname><given-names>D.</given-names></name><name name-style="western"><surname>De Felice</surname><given-names>C.</given-names></name><name name-style="western"><surname>Donati</surname><given-names>C.</given-names></name><name name-style="western"><surname>Hayek</surname><given-names>J.</given-names></name><etal/></person-group>. (<year>2017</year>). <article-title>New evidences on the altered gut microbiota in autism spectrum disorders</article-title>. <source>Microbiome</source>
<volume>5</volume>:<fpage>24</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40168-017-0242-1</pub-id>, PMID: <pub-id pub-id-type="pmid">28222761</pub-id><pub-id pub-id-type="pmcid">PMC5320696</pub-id></mixed-citation></ref><ref id="ref54"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Suganya</surname><given-names>K.</given-names></name><name name-style="western"><surname>Koo</surname><given-names>B. S.</given-names></name></person-group> (<year>2020</year>). <article-title>Gut-brain axis: role of gut microbiota on neurological disorders and how probiotics/prebiotics beneficially modulate microbial and immune pathways to improve brain functions</article-title>. <source>Int. J. Mol. Sci.</source>
<volume>21</volume>:<fpage>7551</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms21207551</pub-id>, PMID: <pub-id pub-id-type="pmid">33066156</pub-id><pub-id pub-id-type="pmcid">PMC7589356</pub-id></mixed-citation></ref><ref id="ref55"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Sun</surname><given-names>Q.</given-names></name><name name-style="western"><surname>Cheng</surname><given-names>L.</given-names></name><name name-style="western"><surname>Zeng</surname><given-names>X.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>X.</given-names></name><name name-style="western"><surname>Wu</surname><given-names>Z.</given-names></name><name name-style="western"><surname>Weng</surname><given-names>P.</given-names></name></person-group> (<year>2020</year>). <article-title>The modulatory effect of plant polysaccharides on gut flora and the implication for neurodegenerative diseases from the perspective of the microbiota-gut-brain axis</article-title>. <source>Int. J. Biol. Macromol.</source>
<volume>164</volume>, <fpage>1484</fpage>–<lpage>1492</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ijbiomac.2020.07.208</pub-id>, PMID: <pub-id pub-id-type="pmid">32735929</pub-id></mixed-citation></ref><ref id="ref56"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Sun</surname><given-names>H.</given-names></name><name name-style="western"><surname>You</surname><given-names>Z.</given-names></name><name name-style="western"><surname>Jia</surname><given-names>L.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>F.</given-names></name></person-group> (<year>2019</year>). <article-title>Autism spectrum disorder is associated with gut microbiota disorder in children</article-title>. <source>BMC Pediatr.</source>
<volume>19</volume>:<fpage>516</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12887-019-1896-6</pub-id>, PMID: <pub-id pub-id-type="pmid">31881951</pub-id><pub-id pub-id-type="pmcid">PMC6933684</pub-id></mixed-citation></ref><ref id="ref57"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Sun</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>Z.</given-names></name><name name-style="western"><surname>Cheng</surname><given-names>L.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>X.</given-names></name><name name-style="western"><surname>Liu</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>R.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title>Polysaccharides confer benefits in immune regulation and multiple sclerosis by interacting with gut microbiota</article-title>. <source>Food Res. Int.</source>
<volume>149</volume>:<fpage>110675</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.foodres.2021.110675</pub-id>, PMID: <pub-id pub-id-type="pmid">34600677</pub-id></mixed-citation></ref><ref id="ref58"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Tan</surname><given-names>Q.</given-names></name><name name-style="western"><surname>Orsso</surname><given-names>C. E.</given-names></name><name name-style="western"><surname>Deehan</surname><given-names>E. C.</given-names></name><name name-style="western"><surname>Kung</surname><given-names>J. Y.</given-names></name><name name-style="western"><surname>Tun</surname><given-names>H. M.</given-names></name><name name-style="western"><surname>Wine</surname><given-names>E.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title>Probiotics, prebiotics, synbiotics, and fecal microbiota transplantation in the treatment of behavioral symptoms of autism spectrum disorder: a systematic review</article-title>. <source>Autism Res.</source>
<volume>14</volume>, <fpage>1820</fpage>–<lpage>1836</lpage>. doi: <pub-id pub-id-type="doi">10.1002/aur.2560</pub-id>, PMID: <pub-id pub-id-type="pmid">34173726</pub-id></mixed-citation></ref><ref id="ref59"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Tartaglione</surname><given-names>A. M.</given-names></name><name name-style="western"><surname>Schiavi</surname><given-names>S.</given-names></name><name name-style="western"><surname>Calamandrei</surname><given-names>G.</given-names></name><name name-style="western"><surname>Trezza</surname><given-names>V.</given-names></name></person-group> (<year>2019</year>). <article-title>Prenatal valproate in rodents as a tool to understand the neural underpinnings of social dysfunctions in autism spectrum disorder</article-title>. <source>Neuropharmacology</source>
<volume>159</volume>:<fpage>107477</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuropharm.2018.12.024</pub-id>, PMID: <pub-id pub-id-type="pmid">30639388</pub-id></mixed-citation></ref><ref id="ref60"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Tomova</surname><given-names>A.</given-names></name><name name-style="western"><surname>Husarova</surname><given-names>V.</given-names></name><name name-style="western"><surname>Lakatosova</surname><given-names>S.</given-names></name><name name-style="western"><surname>Bakos</surname><given-names>J.</given-names></name><name name-style="western"><surname>Vlkova</surname><given-names>B.</given-names></name><name name-style="western"><surname>Babinska</surname><given-names>K.</given-names></name><etal/></person-group>. (<year>2015</year>). <article-title>Gastrointestinal microbiota in children with autism in Slovakia</article-title>. <source>Physiol. Behav.</source>
<volume>138</volume>, <fpage>179</fpage>–<lpage>187</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.physbeh.2014.10.033</pub-id>, PMID: <pub-id pub-id-type="pmid">25446201</pub-id></mixed-citation></ref><ref id="ref61"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Wang</surname><given-names>C.</given-names></name><name name-style="western"><surname>Geng</surname><given-names>H.</given-names></name><name name-style="western"><surname>Liu</surname><given-names>W.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>G.</given-names></name></person-group> (<year>2017</year>). <article-title>Prenatal, perinatal, and postnatal factors associated with autism: a meta-analysis</article-title>. <source>Medicine (Baltimore)</source>
<volume>96</volume>:<fpage>e6696</fpage>. doi: <pub-id pub-id-type="doi">10.1097/md.0000000000006696</pub-id>, PMID: <pub-id pub-id-type="pmid">28471964</pub-id><pub-id pub-id-type="pmcid">PMC5419910</pub-id></mixed-citation></ref><ref id="ref62"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Wang</surname><given-names>H. X.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>Y. P.</given-names></name></person-group> (<year>2016</year>). <article-title>Gut microbiota-brain axis</article-title>. <source>Chin. Med. J.</source>
<volume>129</volume>, <fpage>2373</fpage>–<lpage>2380</lpage>. doi: <pub-id pub-id-type="doi">10.4103/0366-6999.190667</pub-id>, PMID: <pub-id pub-id-type="pmid">27647198</pub-id><pub-id pub-id-type="pmcid">PMC5040025</pub-id></mixed-citation></ref><ref id="ref63"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Wang</surname><given-names>W.</given-names></name><name name-style="western"><surname>Xu</surname><given-names>A. L.</given-names></name><name name-style="western"><surname>Li</surname><given-names>Z. C.</given-names></name><name name-style="western"><surname>Li</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Xu</surname><given-names>S. F.</given-names></name><name name-style="western"><surname>Sang</surname><given-names>H. C.</given-names></name><etal/></person-group>. (<year>2020</year>). <article-title>Combination of probiotics and salvia miltiorrhiza polysaccharide alleviates hepatic steatosis via gut microbiota modulation and insulin resistance improvement in high fat-induced NAFLD mice</article-title>. <source>Diabetes Metab. J.</source>
<volume>44</volume>, <fpage>336</fpage>–<lpage>348</lpage>. doi: <pub-id pub-id-type="doi">10.4093/dmj.2019.0042</pub-id>, PMID: <pub-id pub-id-type="pmid">31950772</pub-id><pub-id pub-id-type="pmcid">PMC7188963</pub-id></mixed-citation></ref><ref id="ref64"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Witters</surname><given-names>P.</given-names></name><name name-style="western"><surname>Debbold</surname><given-names>E.</given-names></name><name name-style="western"><surname>Crivelly</surname><given-names>K.</given-names></name><name name-style="western"><surname>Vande Kerckhove</surname><given-names>K.</given-names></name><name name-style="western"><surname>Corthouts</surname><given-names>K.</given-names></name><name name-style="western"><surname>Debbold</surname><given-names>B.</given-names></name><etal/></person-group>. (<year>2016</year>). <article-title>Autism in patients with propionic acidemia</article-title>. <source>Mol. Genet. Metab.</source>
<volume>119</volume>, <fpage>317</fpage>–<lpage>321</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ymgme.2016.10.009</pub-id>, PMID: <pub-id pub-id-type="pmid">27825584</pub-id></mixed-citation></ref><ref id="ref65"><mixed-citation publication-type="book"><person-group person-group-type="author"><name name-style="western"><surname>Wong</surname><given-names>G. C.</given-names></name><name name-style="western"><surname>Montgomery</surname><given-names>J. M.</given-names></name><name name-style="western"><surname>Taylor</surname><given-names>M. W.</given-names></name></person-group> (<year>2021</year>). “<article-title>The gut-microbiota-brain Axis in autism Spectrum disorder</article-title>,” in <source>Autism Spectrum Disorders</source>. ed <person-group person-group-type="editor"><name name-style="western"><surname>Grabrucker</surname><given-names>Andreas M.</given-names></name></person-group> (<publisher-loc>Brisbane, AU</publisher-loc>: <publisher-name>Exon Publications</publisher-name>).<pub-id pub-id-type="pmid">34495615</pub-id></mixed-citation></ref><ref id="ref66"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Youn</surname><given-names>S. H.</given-names></name><name name-style="western"><surname>Lee</surname><given-names>S. M.</given-names></name><name name-style="western"><surname>Han</surname><given-names>C. K.</given-names></name><name name-style="western"><surname>In</surname><given-names>G.</given-names></name><name name-style="western"><surname>Park</surname><given-names>C. K.</given-names></name><name name-style="western"><surname>Hyun</surname><given-names>S. H.</given-names></name></person-group> (<year>2020</year>). <article-title>Immune activity of polysaccharide fractions isolated from Korean red ginseng</article-title>. <source>Molecules</source>
<volume>25</volume>:<fpage>3569</fpage>. doi: <pub-id pub-id-type="doi">10.3390/molecules25163569</pub-id>, PMID: <pub-id pub-id-type="pmid">32781524</pub-id><pub-id pub-id-type="pmcid">PMC7464961</pub-id></mixed-citation></ref><ref id="ref67"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zhang</surname><given-names>H.</given-names></name><name name-style="western"><surname>Jiang</surname><given-names>F.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>J.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>W.</given-names></name><name name-style="western"><surname>Li</surname><given-names>L.</given-names></name><name name-style="western"><surname>Yan</surname><given-names>J.</given-names></name></person-group> (<year>2022</year>). <article-title>Modulatory effects of polysaccharides from plants, marine algae and edible mushrooms on gut microbiota and related health benefits: a review</article-title>. <source>Int. J. Biol. Macromol.</source>
<volume>204</volume>, <fpage>169</fpage>–<lpage>192</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ijbiomac.2022.01.166</pub-id>, PMID: <pub-id pub-id-type="pmid">35122806</pub-id></mixed-citation></ref><ref id="ref68"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zhou</surname><given-names>R.</given-names></name><name name-style="western"><surname>He</surname><given-names>D.</given-names></name><name name-style="western"><surname>Xie</surname><given-names>J.</given-names></name><name name-style="western"><surname>Zhou</surname><given-names>Q.</given-names></name><name name-style="western"><surname>Zeng</surname><given-names>H.</given-names></name><name name-style="western"><surname>Li</surname><given-names>H.</given-names></name><etal/></person-group>. (<year>2021</year>). <article-title>The synergistic effects of polysaccharides and ginsenosides from American ginseng (<italic toggle="yes">Panax quinquefolius</italic> L.) ameliorating cyclophosphamide-induced intestinal immune disorders and gut barrier dysfunctions based on microbiome-metabolomics analysis</article-title>. <source>Front. Immunol.</source>
<volume>12</volume>:<fpage>665901</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2021.665901</pub-id>, PMID: <pub-id pub-id-type="pmid">33968068</pub-id><pub-id pub-id-type="pmcid">PMC8100215</pub-id></mixed-citation></ref><ref id="ref69"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zhu</surname><given-names>W.</given-names></name><name name-style="western"><surname>Zhou</surname><given-names>S.</given-names></name><name name-style="western"><surname>Liu</surname><given-names>J.</given-names></name><name name-style="western"><surname>McLean</surname><given-names>R. J. C.</given-names></name><name name-style="western"><surname>Chu</surname><given-names>W.</given-names></name></person-group> (<year>2020</year>). <article-title>Prebiotic, immuno-stimulating and gut microbiota-modulating effects of <italic toggle="yes">Lycium barbarum</italic> polysaccharide</article-title>. <source>Biomed. Pharmacother.</source>
<volume>121</volume>:<fpage>109591</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopha.2019.109591</pub-id>, PMID: <pub-id pub-id-type="pmid">31733576</pub-id></mixed-citation></ref><ref id="ref70"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zou</surname><given-names>R.</given-names></name><name name-style="western"><surname>Xu</surname><given-names>F.</given-names></name><name name-style="western"><surname>Wang</surname><given-names>Y.</given-names></name><name name-style="western"><surname>Duan</surname><given-names>M.</given-names></name><name name-style="western"><surname>Guo</surname><given-names>M.</given-names></name><name name-style="western"><surname>Zhang</surname><given-names>Q.</given-names></name><etal/></person-group>. (<year>2020</year>). <article-title>Changes in the gut microbiota of children with autism spectrum disorder</article-title>. <source>Autism Res.</source>
<volume>13</volume>, <fpage>1614</fpage>–<lpage>1625</lpage>. doi: <pub-id pub-id-type="doi">10.1002/aur.2358</pub-id><pub-id pub-id-type="pmid">32830918</pub-id></mixed-citation></ref></ref-list></back></article>