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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2022.1064657</article-id>
<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>Radix paeoniae alba polysaccharide attenuates lipopolysaccharide-induced intestinal injury by regulating gut microbiota</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Aoyun</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="fn0003" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/995809/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ding</surname>
<given-names>Jinxue</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="fn0003" ref-type="author-notes"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shen</surname>
<given-names>Ting</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Ying</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Fan</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Yi</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1586319/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Iqbal</surname>
<given-names>Mudassar</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kulyar</surname>
<given-names>Muhammad Fakhar-e-Alam</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1410889/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Kun</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/940497/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wei</surname>
<given-names>Kunhua</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/849114/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Veterinary Medicine, Institute of Traditional Chinese Veterinary Medicine, Nanjing Agricultural University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Veterinary Medicine, Huazhong Agricultural University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Guangxi Key Laboratory of Medicinal Resources Protection and Genetic Improvement, Guangxi Engineering Research Center of TCM Resource Intelligent Creation, Guangxi Botanical Garden of Medicinal Plants</institution>, <addr-line>Nanning</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur</institution>, <addr-line>Bahawalpur</addr-line>, <country>Pakistan</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Karolina Skonieczna-&#x017B;ydecka, Pomeranian Medical University, Poland</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Karolina Jakubczyk, Pomeranian Medical University, Poland; Prerona Boruah, DY Patil Deemed to be University, India</p></fn>
<corresp id="c001">&#x002A;Correspondence: Kunhua Wei, <email>divinekh@163.com</email></corresp>
<corresp id="c002">Kun Li, <email>lik2014@sina.com</email></corresp>
<fn id="fn0003" fn-type="equal"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn id="fn0004" fn-type="other"><p>This article was submitted to Microorganisms in Vertebrate Digestive Systems, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>1064657</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Li, Ding, Shen, Liang, Wei, Wu, Iqbal, Kulyar, Li and Wei.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Li, Ding, Shen, Liang, Wei, Wu, Iqbal, Kulyar, Li and Wei</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Accumulating evidence indicated that oxidative stress is closely related to inflammation and the progression of multiple chronic diseases, which seriously threaten the host health. Currently, multiple plant-derived polysaccharides have been demonstrated to ameliorate the negative effects of oxidative stress on the host, but the potential protective effect of radix paeoniae alba polysaccharide (RPAP) on host have not been well characterized. Here, we investigated whether different doses of RPAP administration could alleviate lipopolysaccharide (LPS)-induced intestinal injury and gut microbial dysbiosis in mice. Results indicated that RPAP administration effectively alleviated LPS-induced intestinal damage in dose dependent. Additionally, amplicon sequencing showed that RPAP administration reversed the significant decrease in gut microbial diversity caused by LPS exposure and restored the alpha-diversity indices to normal levels. Microbial taxonomic investigation also indicated that LPS exposure resulted in significant changes in the gut microbial composition, characterized by a decrease in the abundances of beneficial bacteria (<italic>Lactobacillus</italic>, <italic>Alistipes</italic>, <italic>Bacillus</italic>, <italic>Rikenellaceae_RC9_gut_group</italic>, etc.) and an increase in the contents of pathogenic bacteria (<italic>Klebsiella</italic>, <italic>Helicobacter</italic>, <italic>Enterococcus</italic>, etc.). However, RPAP administration, especially in high doses, could improve the composition of the gut microbiota by altering the abundance of some bacteria. Taken together, this study demonstrated that RPAP administration could ameliorate LPS-induced intestinal injury by regulating gut microbiota. Meanwhile, this also provides the basis for the popularization and application of RPAP and alleviating oxidative stress from the perspective of gut microbiota.</p>
</abstract>
<kwd-group>
<kwd>oxidative stress</kwd>
<kwd>radix paeoniae alba polysaccharide</kwd>
<kwd>amplicon sequencing</kwd>
<kwd>gut microbiota</kwd>
<kwd>LPS</kwd>
</kwd-group>
<contract-num rid="cn1">804131</contract-num>
<contract-num rid="cn2">GuiKeAD22080012</contract-num>
<contract-num rid="cn2">GuiKeAA18242040</contract-num>
<contract-num rid="cn2">GuiKeZY20198018</contract-num>
<contract-sponsor id="cn1">Start-up fund of Nanjing Agricultural University</contract-sponsor>
<contract-sponsor id="cn2">Guangxi Science and Technology Project</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="13"/>
<word-count count="7196"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Oxidative stress is a state of imbalance between oxidation and antioxidant defense system in the body, which may cause multiple organ damage and dysfunction (<xref ref-type="bibr" rid="ref15">Garcia-Mesa et al., 2016</xref>; <xref ref-type="bibr" rid="ref40">Liu et al., 2019</xref>). Previous studies indicated that enzymatic and non-enzymatic antioxidant systems could eliminate accumulated reactive oxygen species (ROS) to decrease oxidative stress and ensure host health (<xref ref-type="bibr" rid="ref50">Singh and Vinayak, 2017</xref>; <xref ref-type="bibr" rid="ref31">Li B. et al., 2019</xref>). However, multiple factors such as drinking, smoking, weaning, environmental change, heavy metal and endotoxin could result in the massive production and accumulation of ROS and thus causing oxidative stress (<xref ref-type="bibr" rid="ref60">Xu J. et al., 2020</xref>; <xref ref-type="bibr" rid="ref3">Caliri et al., 2021</xref>). Studies demonstrated that oxidative stress caused by ROS can cause many chronic diseases in humans and animals such as aging, inflammation, atherosclerosis and even cancer (<xref ref-type="bibr" rid="ref56">Wigner et al., 2021</xref>; <xref ref-type="bibr" rid="ref24">Kalinina et al., 2022</xref>). Consequently, reducing oxidative stress is essential to ensure human and animal health. Recently, research about gut microbiota has attracted increasing attention due to its important roles in oxidative stress and oxidative stress-related diseases (<xref ref-type="bibr" rid="ref17">Han et al., 2021</xref>; <xref ref-type="bibr" rid="ref18">Hao et al., 2021</xref>).</p>
<p>Gut microbiome interacts with the host and plays a key role in host health (<xref ref-type="bibr" rid="ref43">Maslowski et al., 2009</xref>; <xref ref-type="bibr" rid="ref11">Das et al., 2021</xref>). Statistically, the normal intestine harbors over 100 trillion of microorganisms including bacteria (98%), fungi (0.1%), viruses, protists and archaea, approximately ten times the total amount of host cells (<xref ref-type="bibr" rid="ref34">Li et al., 2021a</xref>). Increasing evidence demonstrated that gut microbiota not only aid in nutritional acquisition of host, such as amino acids/vitamins synthesis and food digestion and absorption, but also make significant contributions in intestinal epithelium differentiation, mucosal immunity and intestinal homeostasis (<xref ref-type="bibr" rid="ref7">Chen H. L. et al., 2021</xref>; <xref ref-type="bibr" rid="ref57">Wozniak et al., 2021</xref>). Importantly, gut microbiota also involved in intestinal mucosal barrier maintenance and immune defense system development, indicating its crucial roles in immunity and disease resistance (<xref ref-type="bibr" rid="ref29">Lau et al., 2016</xref>; <xref ref-type="bibr" rid="ref64">Yun et al., 2022</xref>). However, gut microbial composition, diversity and abundance continuously shifts under the influence of host- and environmental-related factors including age, diet, weather and oxidative stress (<xref ref-type="bibr" rid="ref41">Makki et al., 2018</xref>; <xref ref-type="bibr" rid="ref35">Li et al., 2022</xref>). Earlier studies demonstrated that stabilized gut microbiota could ensure intestinal functions to function properly, whereas significant changes in gut microbial composition and diversity namely gut microbial dysbiosis may result in etiopathology consequences (<xref ref-type="bibr" rid="ref48">Qin et al., 2012</xref>; <xref ref-type="bibr" rid="ref9">Chi et al., 2019</xref>). Besides the common gastrointestinal diseases including diarrhea and colitis, disordered gut microbial community and its related metabolites can also affect both near and far organ systems through blood circulation, causing systemic effects (<xref ref-type="bibr" rid="ref5">Chassaing et al., 2015</xref>; <xref ref-type="bibr" rid="ref32">Li Y. et al., 2019</xref>). Notably, gut microbial community or microbial signals can also activate intestinal epithelial cell and other cell types to produce physiological ROS that participate in multiple cellular signaling (<xref ref-type="bibr" rid="ref58">Wu et al., 2022</xref>). However, gut microbial dysbiosis causes over-accumulation of ROS and oxidative stress. Consequently, maintaining gut microbial homeostasis is critical for alleviating oxidative stress and decreasing oxidative stress-related diseases.</p>
<p>Exogenous antioxidants administration has long been considered as an effective way to relieve oxidative stress and prevent oxidant-related diseases (<xref ref-type="bibr" rid="ref8">Chen L. et al., 2021</xref>). As an important source of functional dietary antioxidant ingredients, polysaccharides derived from plants, animals and microorganisms have been demonstrated to be essential candidates for developing the promising non-toxic antioxidants (<xref ref-type="bibr" rid="ref6">Chen et al., 2022</xref>). Among plant polysaccharides, radix paeoniae alba polysaccharide (RPAP) has attracted increasing attention because of its multiple health benefits to the host. RPAP is one of the important active components of radix paeoniae alba, which showed multiple important biological activities such as anti-depression, immunological regulation, whitening and alleviating hepatic injury (<xref ref-type="bibr" rid="ref65">Zhang et al., 2020</xref>). Moreover, recent reports on RPAP also revealed its key roles in the gastrointestinal disease and relieve oxidative stress. For instance, <xref ref-type="bibr" rid="ref65">Zhang et al. (2020)</xref> demonstrated that RPAP not only possessed DPPH scavenging activity and reducing power but also could alleviate H<sub>2</sub>O<sub>2</sub>-induced oxidative damage in PC12 cells. Although numerous investigations indicated the positive regulatory effects of RPAP on the host health, it remains unclear whether RPAP could ameliorate intestinal injury and gut microbial dysbiosis caused by LPS. Here, we explored the protective effect of RPAP on LPS induced oxidative damages of intestine.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec3">
<title>Animal experiments and sample collection</title>
<p>A group of 100 28-day-old healthy Kunming mice (initial weight 25&#x2009;&#x00B1;&#x2009;2&#x2009;g) were purchased and maintained under the standard ambient temperature, sanitary condition and illumination as previously described. Prior to the experiment, all the subjects were performed physical examinations to avoid deformity and other congenital diseases. After acclimatization for 3&#x2009;days, an equal number of mice (<italic>n</italic>&#x2009;=&#x2009;20, 10 male and 10 female) were divided into control group, LPS-induced group (LPS), low dose RPAP administration group (75&#x2009;mg/Kg, RL), medium dose RPAP administration group (150&#x2009;mg/Kg, RM) and high dose RPAP administration group (300&#x2009;mg/Kg, RH). Mice in RPAP administration groups were compulsively gavaged with 0.2&#x2009;ml of RPAP with different dose, whereas the mice in control and LPS group received same dose of normal saline by the same way from day 1 to 21. Throughout the trial, all the mice were provided sufficient feed and water. Mice in the LPS, RH, RM and RL groups were intraperitoneally injected with LPS (10&#x2009;mg/kg) but controls were injected with the same dose of normal saline on days 22 of the experimental study. After 12&#x2009;h, all mice were dissected and jejunum, ileum, colon and cecum were collected. Subsequently, the sterile fecal samplers were applied to collect rectal feces of each subjects. The achieved samples were immediately sub-sampled from the intermediate region to maximally decrease pollution by bedding and flooring and then snap-frozen utilizing liquid nitrogen and stored at &#x2013;80&#x00B0;C for further study.</p>
</sec>
<sec id="sec4">
<title>Histological observations</title>
<p>The specific procedures and processes for tissue section preparation and H&#x0026;E staining were based on previous studies. Briefly, fresh tissues acquired from dissected mice such as jejunum, ileum, cecum and colon were fixed in 4% paraformaldehyde, dehydrated in gradient ethanol and xylene, embedded in paraffin and prepared 4&#x2013;5&#x2009;&#x03BC;m sections. The tissue sections were subsequently subjected to stain with hematoxylin. Representative micrographs of histological sections were taken using inverted microscope.</p>
</sec>
<sec id="sec5">
<title>DNA extraction and illumina MiSeq sequencing</title>
<p>All frozen colonic contents were thawed and homogenized and then subjected to genomic DNA extraction using QIAamp DNA Mini Kit (QIAGEN, Hilden, Germany) following suggested instructions of manufacturer. Subsequently, the extracts were performed electrophoresis and quantification to evaluate their concentration and integrity. To characterize gut microbial composition and changes, we amplified the V3/V4 region using specific primers (338F: ACTCCTACGGGAGGCAGCA and 806R: GGACTACHVGGGTWTCTAAT) synthesized based on conserved regions. The specific procedures of the PCR amplification was determined based on previous study (<xref ref-type="bibr" rid="ref19">Hu et al., 2016</xref>). Purification and fluorescent quantitation of amplified products were conducted to prepare sequencing library. The initial libraries need to be properly modified including sequence end repair, sequencing libraries enrichment and purification. Qualified libraries with a concentration greater than 2 and only one peak were performed paired-end sequencing using MiSeq sequencing machine. To obtain more accurate data, we performed further processing on the initial data from sequencing. The short (less than 200&#x2009;bp), mismatched, unqualified and chimera sequences were abandoned to acquire effective sequence. According to 97% sequence similarity, the qualified sequences were clustered and OTUs partitioned. Alpha diversity indices were calculated based on the quantity of OTUs in each sample to explore the changes in gut microbial diversity and abundance. Meanwhile, PCoA plots were also generated to visualize the differences in gut microbial principal components. Metastats analysis and LEfSe were used to recognize differential taxon. Statistical analysis of data was performed using R (v3.0.3) and GraphPad Prism (version 8.0c). <italic>p</italic>-values (means&#x2009;&#x00B1;&#x2009;SD) &#x003C;&#x2009;0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec id="sec6" sec-type="results">
<title>Results</title>
<sec id="sec7">
<title>Histological observations</title>
<p>The histopathological alterations in jejunum, ileum, cecum and colon are presented in <xref rid="fig1" ref-type="fig">Figure 1</xref>. H&#x0026;E staining revealed that the intestines in control group were integrated with clear borders, whereas those in LPS-induced mice were arranged loosely, irregularly and disorderly, accompanied by mucosal edema and infiltration of inflammatory cells in some tissues. However, RPAP administration can alleviate the damage of intestinal villi caused by LPS, indicating that RPAP has a protective effect on LPS-induced intestinal oxidative damage.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Radix paeoniae alba polysaccharide (RPAP) administration ameliorated LPS-induced intestinal injury in mice. Histological examination of the jejunum, ileum, caecum, and colon.</p>
</caption>
<graphic xlink:href="fmicb-13-1064657-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<title>Data acquisition and analysis</title>
<p>In this study, 30 samples from five groups were performed amplicon sequencing to explore the protective effect of RPAP on the gut microbiota. Amplicon sequencing results showed that a total of 44,362 (C&#x2009;=&#x2009;428,534, LPS&#x2009;=&#x2009;315,828, RH&#x2009;=&#x2009;428,534, RM&#x2009;=&#x2009;428,534 and RL&#x2009;=&#x2009;428,534) raw sequences were generated (<xref rid="tab1" ref-type="table">Table 1</xref>). Moreover, 428,534 (C&#x2009;=&#x2009;428,534, LPS&#x2009;=&#x2009;315,828, RH&#x2009;=&#x2009;428,534, RM&#x2009;=&#x2009;428,534 and RL&#x2009;=&#x2009;428,534) valid sequences were totally acquired after quality evaluation, with an effective rate of more than 60%. The multi samples rarefaction and Shannon curves of all samples showed the sufficient species coverage (<xref rid="fig2" ref-type="fig">Figures 2A</xref>,<xref rid="fig2" ref-type="fig">B</xref>). Meanwhile, the species rank curve in each sample was wide and decreased slowly, showing the satisfactory sequencing evenness and richness (<xref rid="fig2" ref-type="fig">Figure 2C</xref>). The effective sequences were subsequently clustered into 100 OTUs, ranging from 200 to 330 OTUs per sample, based on 97% nucleotide-sequence similarity (<xref rid="fig2" ref-type="fig">Figures 2D</xref>,<xref rid="fig2" ref-type="fig">E</xref>). Moreover, the amount of unique OTUs in the C, LPS, RH, RM and RL groups were 100, 200, 300, 104, and 22, respectively and 169 OTUs were in common, accounting for 93.02% of the overall OTUs.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The bacterial sequence information of each sample.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Sample</th>
<th align="center" valign="top">Raw reads</th>
<th align="center" valign="top">Clean reads</th>
<th align="center" valign="top">Denoised reads</th>
<th align="center" valign="top">Merged reads</th>
<th align="center" valign="top">Effective reads</th>
<th align="center" valign="top">Effective (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">C1</td>
<td align="center" valign="top">68,036</td>
<td align="center" valign="top">52,257</td>
<td align="center" valign="top">52,087</td>
<td align="center" valign="top">48,704</td>
<td align="center" valign="top">40,403</td>
<td align="char" valign="top" char=".">59.38</td>
</tr>
<tr>
<td align="left" valign="top">C2</td>
<td align="center" valign="top">77,432</td>
<td align="center" valign="top">58,282</td>
<td align="center" valign="top">57,999</td>
<td align="center" valign="top">53,401</td>
<td align="center" valign="top">43,243</td>
<td align="char" valign="top" char=".">55.84</td>
</tr>
<tr>
<td align="left" valign="top">C3</td>
<td align="center" valign="top">56,284</td>
<td align="center" valign="top">42,172</td>
<td align="center" valign="top">42,148</td>
<td align="center" valign="top">41,602</td>
<td align="center" valign="top">41,351</td>
<td align="char" valign="top" char=".">73.46</td>
</tr>
<tr>
<td align="left" valign="top">C4</td>
<td align="center" valign="top">58,947</td>
<td align="center" valign="top">46,044</td>
<td align="center" valign="top">45,966</td>
<td align="center" valign="top">44,992</td>
<td align="center" valign="top">42,555</td>
<td align="char" valign="top" char=".">72.19</td>
</tr>
<tr>
<td align="left" valign="top">C5</td>
<td align="center" valign="top">69,729</td>
<td align="center" valign="top">53,398</td>
<td align="center" valign="top">53,284</td>
<td align="center" valign="top">51,678</td>
<td align="center" valign="top">48,621</td>
<td align="char" valign="top" char=".">69.72</td>
</tr>
<tr>
<td align="left" valign="top">LPS1</td>
<td align="center" valign="top">64,636</td>
<td align="center" valign="top">49,059</td>
<td align="center" valign="top">49,015</td>
<td align="center" valign="top">48,549</td>
<td align="center" valign="top">46,717</td>
<td align="char" valign="top" char=".">72.27</td>
</tr>
<tr>
<td align="left" valign="top">LPS2</td>
<td align="center" valign="top">64,194</td>
<td align="center" valign="top">51,745</td>
<td align="center" valign="top">51,715</td>
<td align="center" valign="top">51,426</td>
<td align="center" valign="top">50,804</td>
<td align="char" valign="top" char=".">79.14</td>
</tr>
<tr>
<td align="left" valign="top">LPS3</td>
<td align="center" valign="top">62,440</td>
<td align="center" valign="top">48,954</td>
<td align="center" valign="top">48,915</td>
<td align="center" valign="top">48,498</td>
<td align="center" valign="top">47,596</td>
<td align="char" valign="top" char=".">76.22</td>
</tr>
<tr>
<td align="left" valign="top">LPS4</td>
<td align="center" valign="top">76,382</td>
<td align="center" valign="top">57,735</td>
<td align="center" valign="top">57,695</td>
<td align="center" valign="top">56,859</td>
<td align="center" valign="top">52,419</td>
<td align="char" valign="top" char=".">68.62</td>
</tr>
<tr>
<td align="left" valign="top">LPS5</td>
<td align="center" valign="top">34,165</td>
<td align="center" valign="top">25,663</td>
<td align="center" valign="top">25,603</td>
<td align="center" valign="top">24,842</td>
<td align="center" valign="top">23,775</td>
<td align="char" valign="top" char=".">69.58</td>
</tr>
<tr>
<td align="left" valign="top">RL1</td>
<td align="center" valign="top">81,274</td>
<td align="center" valign="top">52,405</td>
<td align="center" valign="top">52,232</td>
<td align="center" valign="top">48,378</td>
<td align="center" valign="top">43,312</td>
<td align="char" valign="top" char=".">53.29</td>
</tr>
<tr>
<td align="left" valign="top">RL2</td>
<td align="center" valign="top">63,440</td>
<td align="center" valign="top">50,110</td>
<td align="center" valign="top">50,090</td>
<td align="center" valign="top">49,780</td>
<td align="center" valign="top">49,504</td>
<td align="char" valign="top" char=".">78.03</td>
</tr>
<tr>
<td align="left" valign="top">RL3</td>
<td align="center" valign="top">75,268</td>
<td align="center" valign="top">54,901</td>
<td align="center" valign="top">54,741</td>
<td align="center" valign="top">50,820</td>
<td align="center" valign="top">43,270</td>
<td align="char" valign="top" char=".">57.48</td>
</tr>
<tr>
<td align="left" valign="top">RL4</td>
<td align="center" valign="top">69,318</td>
<td align="center" valign="top">53,425</td>
<td align="center" valign="top">53,320</td>
<td align="center" valign="top">51,681</td>
<td align="center" valign="top">48,231</td>
<td align="char" valign="top" char=".">69.57</td>
</tr>
<tr>
<td align="left" valign="top">RL5</td>
<td align="center" valign="top">75,682</td>
<td align="center" valign="top">50,548</td>
<td align="center" valign="top">50,495</td>
<td align="center" valign="top">49,256</td>
<td align="center" valign="top">46,207</td>
<td align="char" valign="top" char=".">61.05</td>
</tr>
<tr>
<td align="left" valign="top">RM1</td>
<td align="center" valign="top">75,582</td>
<td align="center" valign="top">56,909</td>
<td align="center" valign="top">56,864</td>
<td align="center" valign="top">54,392</td>
<td align="center" valign="top">41,475</td>
<td align="char" valign="top" char=".">54.87</td>
</tr>
<tr>
<td align="left" valign="top">RM2</td>
<td align="center" valign="top">46,053</td>
<td align="center" valign="top">34,584</td>
<td align="center" valign="top">34,505</td>
<td align="center" valign="top">32,764</td>
<td align="center" valign="top">27,850</td>
<td align="char" valign="top" char=".">60.47</td>
</tr>
<tr>
<td align="left" valign="top">RM3</td>
<td align="center" valign="top">71,199</td>
<td align="center" valign="top">53,963</td>
<td align="center" valign="top">53,704</td>
<td align="center" valign="top">50,390</td>
<td align="center" valign="top">43,309</td>
<td align="char" valign="top" char=".">60.82</td>
</tr>
<tr>
<td align="left" valign="top">RM4</td>
<td align="center" valign="top">54,813</td>
<td align="center" valign="top">42,196</td>
<td align="center" valign="top">42,082</td>
<td align="center" valign="top">40,011</td>
<td align="center" valign="top">35,407</td>
<td align="char" valign="top" char=".">64.59</td>
</tr>
<tr>
<td align="left" valign="top">RM5</td>
<td align="center" valign="top">79,187</td>
<td align="center" valign="top">57,186</td>
<td align="center" valign="top">56,923</td>
<td align="center" valign="top">52,672</td>
<td align="center" valign="top">46,506</td>
<td align="char" valign="top" char=".">58.72</td>
</tr>
<tr>
<td align="left" valign="top">RH1</td>
<td align="center" valign="top">82,728</td>
<td align="center" valign="top">63,680</td>
<td align="center" valign="top">63,241</td>
<td align="center" valign="top">54,383</td>
<td align="center" valign="top">42,392</td>
<td align="char" valign="top" char=".">51.24</td>
</tr>
<tr>
<td align="left" valign="top">RH2</td>
<td align="center" valign="top">66,431</td>
<td align="center" valign="top">51,130</td>
<td align="center" valign="top">50,986</td>
<td align="center" valign="top">48,987</td>
<td align="center" valign="top">46,180</td>
<td align="char" valign="top" char=".">69.51</td>
</tr>
<tr>
<td align="left" valign="top">RH3</td>
<td align="center" valign="top">57,919</td>
<td align="center" valign="top">41,715</td>
<td align="center" valign="top">41,559</td>
<td align="center" valign="top">40,869</td>
<td align="center" valign="top">40,432</td>
<td align="char" valign="top" char=".">69.8</td>
</tr>
<tr>
<td align="left" valign="top">RH4</td>
<td align="center" valign="top">77,139</td>
<td align="center" valign="top">57,122</td>
<td align="center" valign="top">57,077</td>
<td align="center" valign="top">56,330</td>
<td align="center" valign="top">55,834</td>
<td align="char" valign="top" char=".">72.38</td>
</tr>
<tr>
<td align="left" valign="top">RH5</td>
<td align="center" valign="top">37,160</td>
<td align="center" valign="top">29,324</td>
<td align="center" valign="top">29,309</td>
<td align="center" valign="top">28,959</td>
<td align="center" valign="top">28,907</td>
<td align="char" valign="top" char=".">77.79</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Operational taxonomic units (OTUs) distribution and feasibility analysis of data. Rarefaction <bold>(A,B)</bold> and rank abundance curves <bold>(C)</bold> were applied for assessing the depth of amplicon sequencing. <bold>(D)</bold> The numbers in the different colored areas represent the quantity of OTUs. <bold>(E)</bold> Histogram shows the number of OTUs in each sample.</p>
</caption>
<graphic xlink:href="fmicb-13-1064657-g002.tif"/>
</fig>
</sec>
<sec id="sec9">
<title>Radix paeoniae alba polysaccharide administration significantly altered the gut microbial diversity</title>
<p>To further assess the regulating effect of RPAP in gut microbiota, we comparatively analyzed changes in gut microbial diversities between different groups. Good&#x2019;s coverage estimations of each group ranged from 99.85 to 99.93%, demonstrating almost all bacterial phenotypes were identified (<xref rid="fig3" ref-type="fig">Figure 3A</xref>). Statistical analysis of alpha diversity showed that there were statistically distinct differences in the Chao1 (288.04&#x2009;&#x00B1;&#x2009;49.86 vs. 190.54&#x2009;&#x00B1;&#x2009;24.21, <italic>p</italic> &#x003C;&#x2009;0.01), ACE (287.89&#x2009;&#x00B1;&#x2009;49.89 vs. 190.34&#x2009;&#x00B1;&#x2009;24.11, <italic>p</italic> &#x003C;&#x2009;0.01) and Shannon (6.33&#x2009;&#x00B1;&#x2009;0.70 vs. 5.43&#x2009;&#x00B1;&#x2009;0.75, <italic>p</italic> &#x003C;&#x2009;0.05) indices between the C and LPS groups, indicating that LPS administration dramatically decrease gut microbial diversity and abundance (<xref rid="fig3" ref-type="fig">Figures 3B</xref>&#x2013;<xref rid="fig3" ref-type="fig">D</xref>). However, RPAP administration could reverse LPS-induced gut microbial dysbiosis and its effect was proportional to the RPAP concentration. Specifically, high-dose RPAP administration could restore the gut microbial diversity and abundance to normal levels and significantly higher than those in the LPS group. Moreover, beta diversity analysis revealed that the dots in C and LPS groups were separated but closer together with the RPAP-treated groups, suggesting that LPS significantly affect the gut microbial structure, whereas RPAP administration could alleviate the present phenomenon (<xref rid="fig3" ref-type="fig">Figures 3E</xref>,<xref rid="fig3" ref-type="fig">F</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Radix paeoniae alba polysaccharide (RPAP) administration restored significant decrease in gut microbial diversity caused by LPS exposure. The differences of gut microbial alpha-diversity among C, LPS, RH, RM, and RL groups were computed by the Good&#x2019;s coverage <bold>(A)</bold>, Chao1 <bold>(B)</bold>, ACE <bold>(C)</bold> and Shannon <bold>(D)</bold> indices. <bold>(E,F)</bold> PCoA plots based on the weighted and unweighted UniFrac distance. All data was represented as mean&#x2009;&#x00B1;&#x2009;SD. <sup>&#x002A;</sup><italic>p</italic> &#x003C;&#x2009;0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C;&#x2009;0.01.</p>
</caption>
<graphic xlink:href="fmicb-13-1064657-g003.tif"/>
</fig>
</sec>
<sec id="sec10">
<title>Comparative analysis of the gut microbial composition between different groups</title>
<p>We also investigated the composition and abundance of dominant intestinal bacteria in different taxonomical levels and observed considerable variability. Specifically, there were 9 phyla and 119 genera found in 30 samples, ranging from 5 to 7 phyla per sample. The phyla <italic>Firmicutes</italic> (67.32, 28.02%) and <italic>Bacteroidota</italic> (25.48, 28.00%) were abundantly present in the C and RH groups, whereas the dominant phyla observed in the RM and RL groups were <italic>Firmicutes</italic> (25.47, 29.03%) and <italic>Proteobacteria</italic> (40.44, 30.55%; <xref rid="fig4" ref-type="fig">Figure 4A</xref>). Moreover, the gut microbiota in LPS group was predominated by <italic>Proteobacteria</italic> (36.59%), <italic>Campylobacterota</italic> (32.55%) and <italic>Firmicutes</italic> (17.91%) in descending order. Other phyla such as <italic>Deferribacterota</italic> (0.032, 1.53%, 0.34, 2.46, 0.70%), <italic>Verrucomicrobiota</italic> (0.0075, 0.33, 0.88, 1.08, and 0.32%) and <italic>Patescibacteria</italic> (1.09, 0.066, 0.92, 0.075, and 0.10%) in the C, LPS, RH, RM and RL groups were identified in low abundances. Among recognized genera, <italic>Escherichia_Shigella</italic> (13.96, 16.95, and 24.38%), <italic>Helicobacter</italic> (32.54, 14.03, and 21.62%) and <italic>Ligilactobacillus</italic> (10.72, 14.34, and 11.32%) were the most predominant genus in the LPS, RH and RL groups, accounting for over 45% of the total composition (<xref rid="fig4" ref-type="fig">Figure 4B</xref>). Moreover, the preponderant bacterial genus found in gut microbiota in the C group were <italic>Ligilactobacillus</italic> (20.61%), <italic>Lactobacillus</italic> (20.60%) and <italic>unclassified_Muribaculaceae</italic> (13.98%), whereas <italic>Escherichia_Shigella</italic> (24.72%) was the most dominant genus in the RM group, followed by <italic>Ligilactobacillus</italic> (14.84%) and <italic>Klebsiella</italic> (13.95%). Moreover, gut microbial distribution and variability between the C, LPS, RH, RM, and RL groups could also be observed by the visualized clustering heatmap (<xref rid="fig4" ref-type="fig">Figure 4C</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Effects of RPAP administration on gut microbial composition in LPS-induced mice. Composition and relative proportion of dominant bacteria at the phylum <bold>(A)</bold> and genus levels <bold>(B)</bold>. <bold>(C)</bold> Heatmap of the 50 most abundant bacterial genera in the C, LPS, RH, RM, and RL groups.</p>
</caption>
<graphic xlink:href="fmicb-13-1064657-g004.tif"/>
</fig>
<p>To further explore the influence of RPAP on gut microbial composition, Metastats analysis was performed for different classification levels. At the phylum level, the LPS group showed dramatically higher abundance of <italic>Proteobacteria</italic> and <italic>Campylobacterota</italic>, whereas the C group enriched for <italic>Firmicutes</italic>, <italic>Patescibacteria</italic>, <italic>Bacteroidota</italic>, and <italic>Actinobacteriota</italic> (<xref rid="fig5" ref-type="fig">Figure 5</xref>). Compared with the C group, the gut microbiota in the LPS group showed distinct decrease in the relative abundance of <italic>Alistipes</italic>, <italic>Odoribacter</italic>, <italic>Candidatus_Saccharimonas</italic>, <italic>Streptococcus</italic>, <italic>uncultured_Bacteroidales_bacterium</italic>, <italic>Incertae_Sedis</italic>, <italic>unclassified_Muribaculaceae</italic>, <italic>unclassified_Clostridia_UCG_014</italic>, <italic>Candidatus_Arthromitus</italic>, <italic>Rikenellaceae_RC9_gut_group</italic>, <italic>Lactobacillus</italic>, <italic>Roseburia</italic>, <italic>unclassified_Eggerthellaceae</italic>, <italic>Enterorhabdus</italic>, <italic>uncultured_Clostridiales_bacterium</italic>, <italic>Gemella</italic>, <italic>Bacillus</italic>, <italic>NK4A214_group</italic>, and <italic>Parvibacter</italic>, whereas <italic>Helicobacter</italic>, <italic>Bacteroides</italic>, <italic>Ralstonia</italic>, <italic>Enterococcus</italic>, <italic>Escherichia_Shigella</italic> and <italic>Klebsiella</italic> increased significantly. Furthermore, a comparison of the LPS and RH groups showed significant decline in the abundance of 9 genus (<italic>Alloprevotella</italic>, <italic>Gemella</italic>, <italic>Odoribacter</italic>, <italic>Alistipes</italic>, <italic>unclassified_Muribaculaceae</italic>, <italic>unclassified_Eggerthellaceae</italic>, <italic>Lactobacillus</italic>, <italic>unclassified_Oscillospiraceae</italic> and <italic>Muribaculum</italic>) as well as a significant increase in the abundance of 1 genus (<italic>Klebsiella</italic>). We also observed that six bacterial genera were dramatically different between the LPS and RM groups. Among differential taxa, <italic>Gemella</italic>, <italic>Streptococcus</italic>, <italic>Alloprevotella</italic> and <italic>Muribaculum</italic> were observed to be more abundant in the RM group than in the LPS group, whereas the <italic>Erysipelatoclostridium</italic> and <italic>Lachnospiraceae_NK4A136_group</italic> exhibited the opposite trend (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>). The RL group showed dramatically higher abundance of <italic>Oscillibacter</italic> than that of LPS, whereas the relative abundance of <italic>Erysipelatoclostridium</italic> and <italic>Klebsiella</italic> were lower. Considering this discriminant analysis could not detect all the taxon, LEfSe combined with LDA scores were used to further recognize the differential bacteria. Besides the above-mentioned differential taxa, we also observed that <italic>Deferribacterota</italic>, <italic>Mucispirillum</italic>, <italic>Enterobacter</italic> and <italic>Butyricimonas</italic> were significantly more preponderant in LPS group than in the C group, whereas the abundance of <italic>Monoglobus</italic> and <italic>Turicibacter</italic> were lower (<xref rid="fig6" ref-type="fig">Figures 6A</xref>,<xref rid="fig6" ref-type="fig">B</xref>). For the comparison between the LPS and RH groups, the RH group showed the higher abundance of <italic>Patescibacteria</italic>, <italic>Alistipes_obesi</italic>, <italic>Parasutterella</italic>, and <italic>Streptococcus</italic> (<xref rid="fig6" ref-type="fig">Figures 6C</xref>,<xref rid="fig6" ref-type="fig">D</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Statistical analysis of differential bacteria between different groups at the phylum and genus levels. All data was represented as mean&#x2009;&#x00B1;&#x2009;SD. <sup>&#x002A;</sup><italic>p</italic> &#x003C;&#x2009;0.05, <sup>&#x002A;&#x002A;</sup><italic>p</italic> &#x003C;&#x2009;0.01.</p>
</caption>
<graphic xlink:href="fmicb-13-1064657-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Linear discriminant analysis effect size (LEfSe) integrated with Linear discriminant analysis (LDA) scores recognized differentially abundant taxon associated with RPAP administration. <bold>(A,C)</bold> Cladogram shows the phylogenetic distribution of differential biomarkers. <bold>(B,D)</bold> The criterion for significant difference is LDA scores &#x003E; 2.</p>
</caption>
<graphic xlink:href="fmicb-13-1064657-g006.tif"/>
</fig>
</sec>
<sec id="sec11">
<title>Correlation network analysis</title>
<p><italic>Lactobacillus</italic> was positively associated with <italic>Bacillus</italic> (0.8292), <italic>Rikenellaceae_RC9_gut_group</italic> (0.5239), <italic>Alistipes</italic> (0.6485), <italic>Odoribacter</italic> (0.7208) and <italic>Monoglobus</italic> (0.7562) but negatively related to <italic>Enterococcus</italic> (0.6054) and <italic>Enterobacter</italic> (0.4702; <xref rid="fig7" ref-type="fig">Figure 7</xref>). <italic>Bacillus</italic> was positively associated with <italic>Alistipes</italic> (0.5415). <italic>Rikenellaceae_RC9_gut_group</italic> was positively related to <italic>Muribaculum</italic> (0.5190), <italic>Monoglobus</italic> (0.4841), <italic>Erysipelatoclostridium</italic> (0.4410) and <italic>Incertae_Sedis</italic> (0.5865). <italic>Alistipes</italic> was positively associated with <italic>Alloprevotella</italic> (0.4192), <italic>Adlercreutzia</italic> (0.4017), <italic>Parvibacter</italic> (0.5141), <italic>Caldicoprobacter</italic> (0.3976) and <italic>Anaerofustis</italic> (0.4844) but negatively related to <italic>Enterobacter</italic> (0.4419) and <italic>Enterococcus</italic> (0.5266). <italic>Klebsiella</italic> was negatively related to <italic>Alistipes</italic> (0.4264). <italic>Enterococcus</italic> was negatively associated with <italic>Rikenellaceae_RC9_gut_group</italic> (0.6712), <italic>Erysipelatoclostridium</italic> (0.5269), <italic>Incertae_Sedis</italic> (0.4001), <italic>Odoribacter</italic> (0.6703), <italic>Candidatus_Saccharimonas</italic> (0.5884) and <italic>Anaerofustis</italic> (0.5099).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Correlation network analysis of gut bacterial community. Bacterial genera are indicated by differently colored dots. Positive and negative correlations are represented by red and green lines, respectively. Detailed data were shown in the <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
</caption>
<graphic xlink:href="fmicb-13-1064657-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="sec12" sec-type="discussions">
<title>Discussion</title>
<p>Oxidative stress has been demonstrated to cause septicemia, acidosis, enteritis, pneumonia and decrease meat quality and fertility (<xref ref-type="bibr" rid="ref28">Kuwano et al., 2003</xref>; <xref ref-type="bibr" rid="ref61">Xu W. et al., 2020</xref>). As the organ most susceptible to oxidative stress, oxidative stress in the intestinal system can affect the digestion and absorption of nutrients and cause abnormal glandular secretion, intestinal damage, gastrointestinal dysfunction and intestinal infection, seriously threatening animal production and health (<xref ref-type="bibr" rid="ref47">Qiao et al., 2013</xref>). Gut microbiota is closely related to gut health, thus the gut microbial homeostasis is inevitably affected by intestinal damage caused by oxidative stress (<xref ref-type="bibr" rid="ref66">Zhao et al., 2018</xref>). Additionally, gut microbial dysbiosis can further affect intestinal permeability, intestinal mucosal immunity and even other organs such as liver and brain, causing more serious pathological consequences (<xref ref-type="bibr" rid="ref1">Boursier et al., 2016</xref>). Consequently, maintaining the intestinal health and gut microbial homeostasis is critical for host health. As an effective extract of traditional Chinese medicine, polysaccharides have been demonstrated to exhibit multiple pharmacological effects such as anti-inflammatory, anti-tumor, antioxidant and hypoglycemic, but there are still few studies on RPAP. Here, we systematically explored the protective effects of RPAP administration on intestinal health and microbiota in LPS-induced mice.</p>
<p>Gut microbial diversity has long been regarded as an important indicator for assessing gut microbial homeostasis (<xref ref-type="bibr" rid="ref21">Jin et al., 2019</xref>). Typically, gut microbial community is in a relatively stable status and this is the prerequisite for intestine to perform various complex physiological functions (<xref ref-type="bibr" rid="ref36">Li et al., 2021b</xref>). Research indicated that many factors such as gender, age and diet could cause dynamic changes in gut microbiota but this physiological fluctuation cannot destroy intestinal homeostasis and host health (<xref ref-type="bibr" rid="ref20">Jiao et al., 2016</xref>; <xref ref-type="bibr" rid="ref12">Dias et al., 2018</xref>). However, strong external stimulus such as antibiotic, oxidative damage, malignant tumor and heavy metal may impair intestinal morphology and environment, which in turn affect microbial growth and survival and force existing microbes to adapt to new environment, causing gut microbial dysbiosis (<xref ref-type="bibr" rid="ref39">Lin et al., 2021</xref>; <xref ref-type="bibr" rid="ref38">Liao et al., 2022</xref>). <xref ref-type="bibr" rid="ref59">Xu et al. (2019)</xref> reported that LPS exposure impaired intestinal morphology and resulted in gut microbial dysbiosis in mice. Moreover, the disruptive effect of LPS on gut microbial homeostasis was also demonstrated in other exploratory experiments (<xref ref-type="bibr" rid="ref33">Li et al., 2020</xref>; <xref ref-type="bibr" rid="ref16">Go et al., 2021</xref>). Consistent with previous investigations, we observed that LPS exposure resulted in a significant decrease in the gut microbial alpha-diversity, accompanied by intestinal damage. However, RPAP supplementation increased the gut microbial diversity indices and was positively correlated with its concentration, indicating that RPAP could restore LPS-induced gut microbial dysbiosis. Currently, the decreased gut microbial diversity has been demonstrated to be strongly associated with the progression of multiple chronic diseases such as diabetes, obesity and nonalcoholic fatty liver disease (<xref ref-type="bibr" rid="ref45">Musso et al., 2011</xref>; <xref ref-type="bibr" rid="ref62">Yu et al., 2016</xref>). As an important biomarker of gut microbial dysbiosis, decreased gut microbial diversity may impair intestinal barrier function and mucosal immune system, causing severe gastrointestinal infection, diarrhea and colonitis (<xref ref-type="bibr" rid="ref27">Koh et al., 2015</xref>; <xref ref-type="bibr" rid="ref22">Jin et al., 2018</xref>). Furthermore, gut microbial dysbiosis also cause pathogenic bacteria and toxic metabolites more easily cross the intestinal barrier and extend its adverse effects beyond the gastrointestinal system, causing systemic effects (<xref ref-type="bibr" rid="ref49">Sekirov et al., 2010</xref>). Gut microbial beta-diversity is also an important tool for assessing gut microbiota. We observed that the individuals of the C group were clustered together but separated from the LPS group, indicating significant changes in the gut microbial main components. However, the gut microbial main components of the RH group were closer to the C group compared with the LPS group, suggesting the improvement in the gut microbial structure.</p>
<p>Consistent with previous investigations, this study also indicated that LPS exposure caused distinct shifts in gut microbial composition and structure, perturbing gut microbial homeostasis. However, RPAP administration can reverse this phenomenon and result in changes in some functional bacteria, such as <italic>Alloprevotella</italic>, <italic>Lactobacillus</italic>, <italic>Alistipes</italic>, <italic>Bacillus</italic> and <italic>Rikenellaceae_RC9_gut_group</italic>, which may play vital roles in intestinal ecosystem and health. <italic>Alloprevotella</italic> has been reported to produce acetic acid and succinic acid, which contributed to maintaining gut microbial homeostasis and decreasing the risk of lifetime cardiovascular disease (<xref ref-type="bibr" rid="ref63">Yuan et al., 2021</xref>). Numerous investigations revealed that <italic>Lactobacillus</italic> possessed important biological properties such as secreting antimicrobial substance, improving the intestinal environment, maintaining intestinal microbial homeostasis (<xref ref-type="bibr" rid="ref42">Maroju et al., 2021</xref>; <xref ref-type="bibr" rid="ref51">Stivala et al., 2021</xref>). Besides the above-mentioned characteristics, <italic>Lactobacillus</italic> also contribute to controlling endotoxin, improving immunity, food digestibility and biological potency, indicating its key roles in host growth and health (<xref ref-type="bibr" rid="ref14">Gao et al., 2018</xref>; <xref ref-type="bibr" rid="ref54">Veisi et al., 2022</xref>). <italic>Alistipes</italic> has been demonstrated to be the potential producer of short-chain fatty acids (SCFAs) (<xref ref-type="bibr" rid="ref25">Khan et al., 2020</xref>). As the acknowledged intestinal beneficial metabolites, SCFAs have been demonstrated to function against pathogens, decreasing oxidative stress, maintaining gut microbial balance, and regulating the intestinal barrier (<xref ref-type="bibr" rid="ref13">Elamin et al., 2013</xref>; <xref ref-type="bibr" rid="ref46">Pekmez et al., 2019</xref>). Furthermore, SCFAs also participated in the positive regulation of the host metabolism, cell proliferation and immunological function (<xref ref-type="bibr" rid="ref53">Van Rymenant et al., 2017</xref>; <xref ref-type="bibr" rid="ref44">Menni and Valdes, 2019</xref>). Recently published research also demonstrated their crucial roles in lowering cholesterol, alleviating intestinal inflammation, reducing diabetes and angiocardiopathy (<xref ref-type="bibr" rid="ref52">Thandapilly et al., 2018</xref>). Several studies involving <italic>Rikenellaceae</italic> have demonstrated its important roles in degrading plant derived polysaccharide and alleviate inflammation. As a common intestinal probiotic, <italic>Bacillus</italic> is widely used in industry, agriculture and pharmaceutical production. Research indicated that the antibacterial substances produced by <italic>Bacillus</italic> have broad-spectrum bactericidal activity and have strong bactericidal effects on many food-related bacteria (<xref ref-type="bibr" rid="ref23">Jones and Knight, 2012</xref>). Moreover, <italic>Bacillus</italic> could produce beneficial metabolites such as vitamins, showing great potential in alleviating the gut microbial dysbiosis and treating bacterial infections (<xref ref-type="bibr" rid="ref37">Li Y. T. et al., 2019</xref>; <xref ref-type="bibr" rid="ref55">Wang et al., 2021</xref>). In this study, we also found that LPS exposure resulted in a significant increase in some pathogenic bacteria such as <italic>Klebsiella</italic>, <italic>Helicobacter</italic> and <italic>Enterococcus</italic>. <italic>Klebsiella</italic>, a potential intestinal pathogen, is closely related to multiple diseases such as mastitis, pneumonia, septicemia and hysteritis (<xref ref-type="bibr" rid="ref2">Bratu et al., 2005</xref>). Early surveys indicated that <italic>Helicobacter</italic> could result in peptic ulcer, gastritis and even lymphoproliferative gastric lymphoma, seriously threatening the host health (<xref ref-type="bibr" rid="ref4">Castano-Rodriguez et al., 2017</xref>). Notably, some diseases caused by <italic>Helicobacter</italic> may eventually progress to gastric cancer that is one of the most common malignancies worldwide and causes approximately 160,000 deaths annually in China (<xref ref-type="bibr" rid="ref10">Choi et al., 2018</xref>). <italic>Enterococcus</italic> was previously reported to cause life-threatening cardioperiostitis, sepsis and meningitis (<xref ref-type="bibr" rid="ref26">Knoll et al., 2013</xref>). Moreover, many antibiotics cannot effectively treat <italic>Enterococcus</italic> infection due to inherent and acquired resistance (<xref ref-type="bibr" rid="ref30">Lebreton et al., 2011</xref>). Interestingly, RPAP administration reduces the abundance of these potential pathogenic bacteria, which is beneficial to maintain gut microbial homeostasis and protect host health.</p>
</sec>
<sec id="sec13" sec-type="conclusions">
<title>Conclusion</title>
<p>In summary, this study investigated the protective effect of RPAP administration on intestinal health and microbiota in LPS-induced mice. Results indicated that RPAP administration could restore LPS-induced intestinal injury and gut microbial dysbiosis and its effect was positively correlated with concentration. This study filled a gap in the effect of RPAP on the intestinal health and microbial homeostasis caused by LPS and demonstrated that the maintenance of gut microbial balance may be one of the important pathways for RPAP to exert its pharmacological effects. Moreover, these findings also expand the understanding of the health benefits of RPAP and provide a theoretical basis for the development of RPAP products to decrease oxidative stress. However, this study also has some limitations including relatively small sample size and lack of intestinal metabolism experiments.</p>
</sec>
<sec id="sec14" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: <ext-link xlink:href="https://www.ncbi.nlm.nih.gov/" ext-link-type="uri">https://www.ncbi.nlm.nih.gov/</ext-link>, PRJNA875596.</p>
</sec>
<sec id="sec15">
<title>Ethics statement</title>
<p>The animal study was reviewed and approved by the Animal Welfare and Ethics Committee of Nanjing Agricultural University.</p>
</sec>
<sec id="sec16">
<title>Author contributions</title>
<p>KL and AL provided the research idea. TS, KL, YW, and JD contributed reagents, materials, and analysis tools. AL wrote the manuscript. MI, MK, KW, YL, and FW revised the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec17" sec-type="funding-information">
<title>Funding</title>
<p>The study was supported by Start-up fund of Nanjing Agricultural University (804131) and Guangxi Science and Technology Project (GuiKeAD22080012, GuiKeAA18242040, and GuiKeZY20198018).</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="sec19" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2022.1064657/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2022.1064657/full#supplementary-material</ext-link></p>
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