<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2024.1387401</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>Sheng-Jiang powder ameliorates NAFLD via regulating intestinal microbiota in mice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhang</surname> <given-names>Pengcheng</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<uri xlink:href="https://loop.frontiersin.org/people/2744097/overview"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Li</surname> <given-names>Juan</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Miao</surname> <given-names>Yifan</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1833788/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname> <given-names>Xianlin</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Zhu</surname> <given-names>Lv</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Yao</surname> <given-names>Jiaqi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1484416/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Wan</surname> <given-names>Meihua</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/680730/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Tang</surname> <given-names>Wenfu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2659300/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Regenerative Medicine Research Center, Sichuan University West China Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Emergency Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Julio Plaza-Diaz, Children&#x2019;s Hospital of Eastern Ontario (CHEO), Canada</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Yu Pi, Chinese Academy of Agricultural Sciences, China</p>
<p>Beihui He, Zhejiang Chinese Medical University, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Wenfu Tang, <email>tangwf@scu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn0001">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1387401</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Zhang, Li, Miao, Zhao, Zhu, Yao, Wan and Tang.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Li, Miao, Zhao, Zhu, Yao, Wan and Tang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Intestinal microbiota have been demonstrated to be involved in the development of NAFLD, while the relationship between the severity of NAFLD and intestinal microbiota is still not fully elucidated. Sheng-Jiang Powder (SJP) showed exact efficacy in treating SFL and great potential in regulating intestinal microbiota, but the effects need to be further addressed in NASH and liver fibrosis.</p>
</sec>
<sec id="sec2">
<title>Objectives</title>
<p>To investigate the differences in intestinal microbiota of NAFLD with different severity and the effect of SJP on liver damage and intestinal microbiota.</p>
</sec>
<sec id="sec3">
<title>Design</title>
<p>NAFLD mice models with different severity were induced by high-fat diet (HFD) or choline-deficient, L-amino acid-defined high-fat diet (CDAHFD) feeding and then treated with SJP/normal saline.</p>
</sec>
<sec id="sec4">
<title>Methods</title>
<p>Biochemical blood tests, H&#x0026;E/Masson/Oil Red O/IHC staining, Western blot, and 16SrDNA sequencing were performed to explore intestinal microbiota alteration in different NAFLD models and the effect of SJP on liver damage and intestinal microbiota.</p>
</sec>
<sec id="sec5">
<title>Results</title>
<p>Intestinal microbiota alteration was detected in all NAFLD mice. SJP induced increased expression of Ppar&#x03B3; and alleviated liver lipid deposition in all NAFLD mice. Microbiome analysis revealed obvious changes in intestinal microbiota composition, while SJP significantly elevated the relative abundance of <italic>Roseburia</italic> and <italic>Akkermansia</italic>, which were demonstrated to be beneficial for improving inflammation and intestinal barrier function.</p>
</sec>
<sec id="sec6">
<title>Conclusion</title>
<p>Our results demonstrated that SJP was effective in improving lipid metabolism in NAFLD mice, especially in mice with SFL. The potential mechanism may be associated with the regulation of intestinal microbiota.</p>
</sec>
</abstract>
<kwd-group>
<kwd>NAFLD</kwd>
<kwd>traditional Chinese medicine</kwd>
<kwd>Sheng-Jiang powder</kwd>
<kwd>intestinal microbiota</kwd>
<kwd>16S rDNA</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="18"/>
<word-count count="9485"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microorganisms in Vertebrate Digestive Systems</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec7">
<label>1</label>
<title>Introduction</title>
<p>Nonalcoholic fatty liver disease (NAFLD) covers different degrees of metabolic abnormalities, from simple steatosis (SFL) to steatohepatitis (NASH), liver fibrosis (NLF) and finally cirrhosis, which is the main cause of end-stage liver disease and hepatocellular carcinoma (<xref ref-type="bibr" rid="ref15">Higarza et al., 2021</xref>). Nowadays, the prevalence rate of NAFLD is 25.24% worldwide (<xref ref-type="bibr" rid="ref30">Lin et al., 2021</xref>), and the incidence rate is rising year over year along with the prevalence of obesity globally, and is predicted to reach 100.9 million in 2030 (<xref ref-type="bibr" rid="ref11">Estes et al., 2018</xref>). Thus, NAFLD causes a huge social disease and economic burden to humans.</p>
<p>In recent years, more and more evidence has shown that intestinal microbiota are the source of hepatotoxic oxidative damage (<xref ref-type="bibr" rid="ref2">Borrelli et al., 2018</xref>), and they play an important role in the occurrence and development of NAFLD (<xref ref-type="bibr" rid="ref33">Liu et al., 2019</xref>). After Le Roy et al. first confirmed the decisive role of intestinal microbiota on the development of NAFLD through intestinal microbiota transplantation (<xref ref-type="bibr" rid="ref23">Le Roy et al., 2013</xref>), an increasing number of studies have found that the alteration of intestinal microbiota promotes the occurrence and development of NAFLD by affecting liver gene expression, energy expenditure, lipid metabolism, insulin resistance and cytokine production. For example, altered intestinal microbiota affects the synthesis of triglycerides and the metabolism of fatty acids, increases toxic lipid metabolites, and then affects mitochondrial function and the oxidative stress response, and ultimately promotes the occurrence of liver inflammation (<xref ref-type="bibr" rid="ref24">Leung et al., 2016</xref>). Then, altered intestinal microbiota leads to increase of intestinal mucosal permeability and bacterial translocation, which will aggravate the development of liver inflammation (<xref ref-type="bibr" rid="ref27">Li et al., 2022</xref>). Moreover, NAFLD patients have an increased abundance of gram-negative bacteria in the gut microbiota, which means there are more lipopolysaccharides released into blood from the outer membrane after the death of these bacteria, and endotoxemia will promote inflammatory cytokines release and inflammatory pathway activation, and then promote the development of NAFLD (<xref ref-type="bibr" rid="ref20">Khan et al., 2019</xref>; <xref ref-type="bibr" rid="ref12">Fei et al., 2020</xref>). Also, altered intestinal microbiota can regulate bile acid metabolism and inhibit the farnesol-like X receptor (FXR) signaling pathway to promote the progression of NAFLD (<xref ref-type="bibr" rid="ref17">Jiao et al., 2018</xref>). Additionally, altered intestinal microbiota increases the synthesis of endogenous ethanol, disrupts intestinal tight junctions and increase intestinal mucosal permeability, where endotoxin and ethanol cause direct damage to the liver (<xref ref-type="bibr" rid="ref47">Yang et al., 2019</xref>; <xref ref-type="bibr" rid="ref16">Huang et al., 2021</xref>). It is worth noting that intestinal microbiota and NAFLD may interact with each other. On the one hand, intestinal microbiota determine the occurrence and development of NAFLD (<xref ref-type="bibr" rid="ref6">de Minicis et al., 2014</xref>), and on the other hand, the occurrence of NAFLD can also lead to changes in the intestinal microbiota of mice and humans (<xref ref-type="bibr" rid="ref14">Henao-Mejia et al., 2012</xref>). However, it is unclear how different stages of NAFLD affect the composition of the intestinal microbiota.</p>
<p>NAFLD currently lacks definitive therapeutic agents (<xref ref-type="bibr" rid="ref34">Loomba and Sanyal, 2013</xref>). However, based on current research, antioxidants, antidiabetic drugs, and lipid-lowering agents have demonstrated certain therapeutic effects on some patients with fatty livers (<xref ref-type="bibr" rid="ref5">Cossiga et al., 2019</xref>). With further investigation, targeting the gut microbial composition with prebiotics, probiotics, and synbiotics has introduced a new therapeutic strategy for NAFLD (<xref ref-type="bibr" rid="ref40">Safari and G&#x00E9;rard, 2019</xref>). Nevertheless, it should be noted that the aforementioned medications primarily target specific aspects of the disease, highlighting the need for a comprehensive drug that addresses the multifactorial nature of NAFLD.</p>
<p>Sheng-Jiang Powder (SJP) is a classical Traditional Chinese Medicine (TCM) prescription for the treatment of liver diseases (<xref ref-type="bibr" rid="ref4">Chen et al., 2017</xref>). It contains four natural medicinal ingredients: Rhubarb (<italic>Rheum officinale</italic> Baill.), Curcuma (<italic>Curcuma longa</italic> L.), Stiff silkworm and Cicada slough. This prescription is derived from Ten Thousand Diseases Reviving Spring written by Gong Tingxian in the Ming Dynasty of China and has been used clinically for more than 400&#x2009;years (<xref ref-type="bibr" rid="ref4">Chen et al., 2017</xref>). Modern pharmacological studies have shown that SJP has good lipid reduction, insulin resistance improvement and anti-inflammatory effects (<xref ref-type="bibr" rid="ref36">Miao et al., 2018</xref>). Our present studies have demonstrated that SJP significantly inhibited the body weight gain and attenuated liver pathological damage in mice with SFL induced by high-fat diet feeding, and potential mechanism may be related to the regulation of lipid metabolism related signal pathways and intestinal microbiota (<xref ref-type="bibr" rid="ref29">Li et al., 2018</xref>). Thus, SJP has shown comprehensive effects that can target the complex physiopathology of NAFLD. However, our present results were limited in SFL mice. Whether SJP can regulate the lipid metabolism and intestinal microbiota and further attenuate liver damage in mice with NASH or NLF needs to be further verified.</p>
<p>Therefore, the purpose of this study was to investigate the effects of SJP on liver injury and intestinal microbiota in mice with varying severity of NAFLD, so as to clarify possible protective mechanisms for NAFLD and provide better evidence for clinical application.</p>
</sec>
<sec sec-type="materials|methods" id="sec8">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec9">
<label>2.1</label>
<title>Ethics statement</title>
<p>The Ethics Committee for Animal Experiments of Sichuan University approved the protocol (Ethics approval number 2017052A). Following the guidelines established by the European Communities Council Directive on November 24, 1986 (86/609/EEC), animal experiments were conducted. It was ensured that all necessary steps were taken to minimize both the number of animals used and their suffering.</p>
</sec>
<sec id="sec10">
<label>2.2</label>
<title>Animals and treatment</title>
<p>Male C57BL/6 mice weighing 18&#x2013;20&#x2009;g were provided by Charles River (Beijing, China). All mice were fed at controlled temperature (22&#x2013;23&#x00B0;C) and 12&#x2009;h light/dark cycle, and then NAFLD was induced by high-fat diet (HFD) or choline-deficient, L-amino acid-defined high-fat diet (CDAHFD). HFD (TP23300: 19% protein, 21% carbohydrate, 60% fat, and 5.1&#x2009;kcal/g heat density) and CDAHFD feed (TP36226MCD/G: choline deficiency, amino acid-defined high-fat diet (45% fat)) were purchased from Nantong Trophic Animal Feed High-Tech Co., Ltd. (Jiangsu, China). After 1&#x2009;week of environmental adaptation, the mice were randomly allocated into 9&#x2009;groups (<italic>n</italic>&#x2009;=&#x2009;7 per group). The detailed groups were as follows: (1) AC group, fed with control diet for 12&#x2009;W and normal saline for 6&#x2009;W; (2) AT group, fed with HFD for 12&#x2009;W and normal saline for 6&#x2009;W; (3) AS group, fed with HFD for 12&#x2009;W and SJP treatment for 6&#x2009;W; (4) BC group, fed with the control diet CSAA for 6&#x2009;W and normal saline for 3&#x2009;W; (5) BT group, fed with CDAHFD for 6&#x2009;W and normal saline for 3&#x2009;W; (6) BS group, fed with CDAHFD for 6&#x2009;W and SJP treatment for 3&#x2009;W; (7) CC group, fed with CSAA 12&#x2009;W and normal saline for 6&#x2009;W; (8) CT group, fed with CDAHFD 12&#x2009;W and normal saline for 6&#x2009;W; (9) CS group, fed with CDAHFD 12&#x2009;W and SJP treatment for 6&#x2009;W. All mice models received daily intragastric administration of either SJP or an equal volume of saline from the start of the 4th or 7th week. After the collection of fresh feces and blood, mice were immediately euthanized and livers were isolated. The blood and tissue samples were taken for biochemical detection, histopathological analysis, Real-Time PCR analysis and Western blotting.</p>
</sec>
<sec id="sec11">
<label>2.3</label>
<title>Preparation of Sheng-Jiang powder</title>
<p>The preparation of SJP has been described in our previous studies (<xref ref-type="bibr" rid="ref35">Miao et al., 2019</xref>). In short, the composition of SJP used in this experiment was determined according to the dose ratio in <italic>Identification of Typhoid Fever</italic> and is shown in <xref ref-type="table" rid="tab1">Table 1</xref>. Spray drying powder of Rhubarb (batch no. 16110150), Curcuma (batch no. 16080008), Stiff silkworm (batch no. 16100147), and Cicada slough (batch no. 16080020) were purchased from the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (Chengdu, China). The drug suspension with a concentration of 1&#x2009;g/mL was prepared with double distilled water. Drug concentrations of 1&#x2009;g, 5&#x2009;g, and 10&#x2009;g SJP/kg BW were tested, and 5&#x2009;g/kg BW was selected as the optimal dose for treating animals. These doses were selected based on our previous reports (<xref ref-type="bibr" rid="ref25">Li and Hu, 2020</xref>) and our preliminary experiments. The scientific name of the plant was consulted on January 4, 2023 at <ext-link xlink:href="https://www.worldfloraonline.org" ext-link-type="uri">https://www.worldfloraonline.org</ext-link>.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The composition of SJP.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Ingredients</th>
<th align="left" valign="top">Botanical Latin name</th>
<th align="left" valign="top">Plant parts</th>
<th align="center" valign="top">Amount used</th>
<th align="center" valign="top">Batch No.</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom">Rhubarb</td>
<td align="left" valign="bottom">
<italic>Rheum officinale Baill.</italic>
</td>
<td align="left" valign="bottom">Roots and rhizomes</td>
<td align="center" valign="bottom">12&#x2009;g</td>
<td align="center" valign="bottom">16,110,150</td>
</tr>
<tr>
<td align="left" valign="bottom">Curcuma</td>
<td align="left" valign="bottom">
<italic>Curcuma longa L.</italic>
</td>
<td align="left" valign="bottom">Rhizome</td>
<td align="center" valign="bottom">9&#x2009;g</td>
<td align="center" valign="bottom">16,080,008</td>
</tr>
<tr>
<td align="left" valign="bottom">Stiff silkworm</td>
<td align="left" valign="bottom">NA</td>
<td align="left" valign="bottom">NA</td>
<td align="center" valign="bottom">6&#x2009;g</td>
<td align="center" valign="bottom">16,100,147</td>
</tr>
<tr>
<td align="left" valign="bottom">Cicada slough</td>
<td align="left" valign="bottom">NA</td>
<td align="left" valign="bottom">NA</td>
<td align="center" valign="bottom">3&#x2009;g</td>
<td align="center" valign="bottom">16,080,020</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec12">
<label>2.4</label>
<title>Liver histopathological analysis and immunohistochemistry</title>
<p>Mouse liver tissue was fixed in 10% formalin overnight and embedded in paraffin. The liver was then sectioned into 3&#x2009;&#x03BC;m sections and stained. For IHC, 3% hydrogen peroxide was used to deactivate endogenous peroxidase, while nonspecific signals were blocked with 1% bovine serum albumin. As primary antibody, anti-TGF-&#x03B2;1 (1:150, Abcam, #ab215715) was incubated overnight at 4&#x00B0;C, followed by three washes with PBS buffer and subsequent incubation with a secondary antibody (HRP-Polymer, Biocare Medical) for 60&#x2009;min at room temperature. The staining process involved the use of 3,3&#x2032;-diaminobenzidine (DAB) substrate (Biocare Medical) and counterstaining with hematoxylin. All histopathological specimens were reviewed and scored blindly by two independent pathologists, with a scoring system for the scope and severity of tissue injury (0&#x2013;4 points, steatosis, inflammatory infiltration, necrosis, and fibrosis), as mentioned earlier (<xref ref-type="bibr" rid="ref43">Wirtz et al., 2007</xref>). The pathological score of liver tissue was the sum of each score.</p>
</sec>
<sec id="sec13">
<label>2.5</label>
<title>Oil red O staining</title>
<p>Fat deposition in liver was identified by oil red O staining. The frozen liver tissue was sliced into 5&#x2009;&#x03BC;m thick sections and subsequently incubated with the oil red O working staining solution for a duration of 20&#x2009;min. To prepare the staining solution, 0.5&#x2009;g of Oil Red O was dissolved in 100&#x2009;mL of isopropyl alcohol to create a stock solution, which was then diluted with distilled water in a ratio of 3:2 to obtain the working solution. Following staining, the sections were rinsed with a buffer solution to eliminate any excess dye, and subsequently re-dyed with hematoxylin.</p>
</sec>
<sec id="sec14">
<label>2.6</label>
<title>Serum biomarkers analysis</title>
<p>After fasting for 12&#x2009;h, blood samples were collected from the inner corner vein and then centrifuged at 2500&#x2009;rpm for 10&#x2009;min. The supernatant was taken for biochemical detection. The activity of alanine aminotransferase (ALT), aspartate aminotransferase (AST), serum triglyceride (TG), and total cholesterol (TC) content were determined by Hitachi Automatic Biochemical Analyzer (7170A, Hitachi, Tokyo, Japan) at the Tibet Chengdu Branch of the West China Hospital of Sichuan University, Chengdu, China.</p>
</sec>
<sec id="sec15">
<label>2.7</label>
<title>Western blotting analysis</title>
<p>Liver total protein was extracted with RIPA lysis buffer (Cell signaling), followed by sonication. Afterward, extracts were centrifuged for 10&#x2009;min at 13,000&#x2009;rpm. Equal amounts of protein were separated by electrophoresis and blotted onto PVDF membrane (Merck Millipore) by wet transfer. After blocking with skimmed milk powder, add the corresponding primary antibody and incubate overnight at 4&#x00B0;C. The following primary antibodies were used: anti-Srebp1c (1:1000, Cell Signaling Technology, #9874), anti-Fasn (1:1000, Cell Signaling Technology, #3189), anti-Ppar&#x03B3; (1:1000, Cell Signaling Technology, #2430), anti-lxr (1:1000, Abcam, #ab176323), anti-TGF-&#x03B2;1 (1:1000, Abcam, #ab215715), and anti-GAPDH (1:3000, Proteintech, 60,004-1-Ig).</p>
</sec>
<sec id="sec16">
<label>2.8</label>
<title>Quantitative polymerase chain reaction</title>
<p>The RT-qPCR procedure was described in detail in our previous study (<xref ref-type="bibr" rid="ref25">Li and Hu, 2020</xref>). At least three independent experiments were used for statistical analysis. Using GAPDH as control, 2<sup>&#x2212;&#x0394;&#x0394;Ct</sup> was used to calculate the gene expression multiple. The primer sequence is shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
</sec>
<sec id="sec17">
<label>2.9</label>
<title>16SrDNA bioinformatics analysis</title>
<p>The fecal microbiota of mice in each group was detected using the 16SrDNA method. The analysis of fecal samples was conducted by Shenzhen Microecology Technology Co., Ltd. The operation steps in the experiment are carried out in strict accordance with the instructions. The detailed process was reported in our previous work (<xref ref-type="bibr" rid="ref25">Li and Hu, 2020</xref>).</p>
</sec>
<sec id="sec18">
<label>2.10</label>
<title>Statistical analysis</title>
<p>GraphPad Prism (9.0.0) software was used for multiple group comparisons, and one-way ANOVA followed by Fisher&#x2019;s least significant difference <italic>post hoc</italic> test was used. Two groups were compared using an unpaired Student&#x2019;s <italic>t</italic>-test (two-tailed). Data are presented as mean&#x2009;&#x00B1;&#x2009;SEM, with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec19">
<label>3</label>
<title>Results</title>
<sec id="sec20">
<label>3.1</label>
<title>Construction of various NAFLD mouse models</title>
<p>We established NAFLD mouse models with different severity to mimic different stages of NAFLD by giving mice three feeding schemes (<xref ref-type="fig" rid="fig1">Figure 1A</xref>). At the end of feeding, haematoxylin-eosin (H&#x0026;E) staining, oil red O staining, Masson staining, and TGF-&#x03B2; were evaluated to confirm the severity of NAFLD according to the related pathological changes (<xref ref-type="fig" rid="fig1">Figure 1B</xref>). Notably, we found that liver lipid deposition gradually increased with the severity of fatty liver, the levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) significantly increased in the NASH and NLF mice (<xref ref-type="fig" rid="fig1">Figure 1E</xref>), and liver fibrosis extent was much severe in NLF group than another two groups according to the H&#x0026;E staining and Masson scores (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 and <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, respectively; <xref ref-type="fig" rid="fig1">Figures 1C</xref>,<xref ref-type="fig" rid="fig1">D</xref>). Thus, the above pathological manifestations of our animal models well simulated the NAFLD with different clinical severity.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>NAFLD mice models with different severity induced by HFD feeding. <bold>(A)</bold> The experimental design and timeline of C57BL/6 mice. <bold>(B)</bold> H&#x0026;E staining (200&#x00D7;), Oil Red O staining (200&#x00D7;), Masson staining (200&#x00D7;), and IHC staining of liver section (200&#x00D7;). <bold>(C)</bold> Fibrosis scores of the liver tissues in each group. <bold>(D)</bold> Masson scores of the liver tissues in each group. <bold>(E)</bold> Serum ALT and AST levels in each group. Data are expressed as the mean&#x2009;&#x00B1;&#x2009;SEM. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. AT, simple fatty liver group; BT, non-alcoholic steatohepatitis group; CT, non-alcoholic liver fibrosis group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g001.tif"/>
</fig>
</sec>
<sec id="sec21">
<label>3.2</label>
<title>Alteration of intestinal microbiota in NAFLD mice models with different severity</title>
<sec id="sec22">
<label>3.2.1</label>
<title>Analysis of the intestinal microbial diversity</title>
<p>The results of pan/core analysis showed that the sample size was sufficient to assess the total species richness and the number of core species (<xref ref-type="fig" rid="fig2">Figures 2A</xref>,<xref ref-type="fig" rid="fig2">B</xref>). The intestinal microbiota diversity was evaluated in the smooth Shannon sparse curve setting, proving that the sequencing depth was sufficient to capture the biodiversity in the test samples (<xref ref-type="fig" rid="fig2">Figure 2C</xref>). The &#x03B1; diversity was evaluated by the Shannon index, Simpson index, ACE index, and Chao index. The results showed that the NLF mice decreased in community diversity at the genus level, but there was no significant difference in intestinal community richness among the experimental NAFLD mice with different severity (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <xref ref-type="fig" rid="fig2">Figures 2D</xref>&#x2013;<xref ref-type="fig" rid="fig2">E</xref>). According to &#x03B2;-diversity analysis of PCoA and PLS-DA, apparent clustering distributions were observed among the three NAFLD groups, suggesting that the microbiota of NAFLD mice with different severity varies and the difference may distinguish different stages of NAFLD (<xref ref-type="fig" rid="fig2">Figure 2F</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Analysis of microbiota community diversity of intestinal microbiota samples of NAFLD mice after special feeding. <bold>(A)</bold> Pan analysis; <bold>(B)</bold> Core analysis; <bold>(C)</bold> Shannon curves; <bold>(D)</bold> Alpha diversity analysis at OTU level; <bold>(E)</bold> Alpha diversity analysis at the genus level; <bold>(F)</bold> Beta diversity analysis at OTU and genus levels. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 vs. BT group. AT, simple fatty liver group; BT, non-alcoholic steatohepatitis group; CT, non-alcoholic liver fibrosis group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g002.tif"/>
</fig>
</sec>
<sec id="sec23">
<label>3.2.2</label>
<title>Analysis of the intestinal microbial composition</title>
<p>At the phylum level, the intestinal microbiota of each group mainly came from Firmicutes, Bacteroidetes, Verrucomicrobia, Proteobacteria, and Actinobacteria. Compared with the AT group, Proteobacteria in the BT group decreased significantly (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and Firmicutes, Actinobacteria, and Verrucomicrobia had a slightly decreasing trend. The ratio of Bacteroidetes of the CT group was significantly lower than that of the BT group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), while the ratio of Proteobacteria was significantly lower than that of the AT group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref ref-type="fig" rid="fig3">Figure 3A</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>The diversity and relative abundance of intestinal microbiota in NAFLD mice with different severity. <bold>(A)</bold> The relative abundance of intestinal microbiota in each group. <bold>(B)</bold> The relative abundance of intestinal microbiota in each group. <bold>(C)</bold> The between-group microbial community bar plot at the genus level with the top 15 abundant species (AT vs. BT, BT vs. CT, and AT vs. CT). <bold>(D)</bold> PICRUSt2 was used to predict the function of the top 30 abundant species in the intestinal microbiota in each group. Data are expressed as the mean&#x2009;&#x00B1;&#x2009;SEM. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; &#x272E;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g003.tif"/>
</fig>
<p>At the genus level, there were also significant differences in the abundance of intestinal microbiota in NAFLD mice with different severity. In this experiment, we selected the top 15 high-abundance species in the intestinal microbiota in each group for analysis and comparison. We found that there were significant differences in the abundance of species like Bacteroidetes, norank-f-Erysipelotrichaceae, Desulfovibrio, etc., which contributed to the between-group differences among the three groups that represent different severity of NAFLD (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). Differences in the microbial community abundance between groups were further analyzed by Wilcoxon rank-sum test. Our results showed that the abundance of Bacteroidetes and Alistipes in NASH mice increased significantly, while the abundance of Desulfovibrio, norank-f-Erysipelotrichaceae and Ruminiclostridium-9 decreased significantly (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) when compared with the SFL mice. And the abundance of unclassified-f-Lachnospiraceae in NLF mice decreased significantly, while the abundance of Ruminiclostridium-9, Allobaculum, and Eubacterium-fissiatena-group increased significantly (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) when compared with the NASH mice. Additionally, compared with the SFL mice, the abundance of Desulfovibrio and unclassified-f-Lachnospiraceae in NLF mice was significantly decreased and the abundance of bacteroidetes, Allobaculum, Roseburia, and Alistipes was significantly increased (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <xref ref-type="fig" rid="fig3">Figure 3C</xref>).</p>
</sec>
<sec id="sec24">
<label>3.2.3</label>
<title>Function prediction of the intestinal microbiota</title>
<p>In addition, PICRUSt2 was employed to predict the function of the top 30 abundant species in the intestinal microbiota of NAFLD mice with different severity. The heatmap of pathway level3 showed that the enrichment of BT-group mice intestinal microbiota in Galactose metabolism and Oxidative phosphorylation pathways was significantly higher than that of AT group (both <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <xref ref-type="fig" rid="fig3">Figure 3D</xref>), while there was no significant difference in the enrichment of gut microbiota in each pathway level3 between the BT and CT-group mice.</p>
</sec>
</sec>
<sec id="sec25">
<label>3.3</label>
<title>Effect of SJP on HFD-induced SFL</title>
<p>Our previous study (<xref ref-type="bibr" rid="ref25">Li and Hu, 2020</xref>) has uncovered a series of protective effects of SJP on HFD feeding induced SFL mice, including inhibiting the body weight gain, attenuating lipid accumulation in blood and liver, modulating the expression of Ppar&#x03B3; and ameliorating liver pathological damage. And these effects might be partly attributed to the regulation of gut microbiota as we found that the relative abundance of certain short-chain fatty acids (SCFAs) producing bacteria, such as Roseburia and norank-f-Erysipelotrichaceae were significantly changed after SJP treatment.</p>
</sec>
<sec id="sec26">
<label>3.4</label>
<title>Effect of SJP on CDAHFD-induced NASH</title>
<sec id="sec27">
<label>3.4.1</label>
<title>SJP attenuated liver inflammatory injury and lipid accumulation</title>
<p>Dose-effect experiments were used to determine the optimal dose of SJP therapy. We observed that doses of 5&#x2009;g/kg were more effective than doses of 1&#x2009;g/kg and 10&#x2009;g/kg (<xref ref-type="supplementary-material" rid="SM2">Supplementary Figure S1</xref>). Therefore, we chose 5&#x2009;g/kg as the therapeutic dose for further experiments.</p>
<p>In our experiment, although CDAHFD diet feeding caused weight loss and decreased levels of serum triglyceride (TG) and total cholesterol (TC) in NASH mice (<xref ref-type="fig" rid="fig4">Figure 4A</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>), it induced apparent elevation of serum ALT and AST, liver lipid accumulation, hepatic steatosis, and inflammatory infiltration and accompanied fibrotic process with an increased TGF-&#x03B2; level and Masson score, which was indeed in accordance with clinical manifestation of NASH. SJP treatment effectively decreased serum ALT and AST levels and ameliorated lipid deposition in liver. But it could not reduce the pathological injury of liver and the subsequent fibrotic changes (<xref ref-type="fig" rid="fig4">Figures 4B</xref>&#x2013;<xref ref-type="fig" rid="fig4">G</xref>; <xref ref-type="supplementary-material" rid="SM3">Supplementary Figure S2A</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>To evaluate the therapeutic effect of SJP on NASH mice. <bold>(A)</bold> The experimental design and timeline of C57BL/6 mice. <bold>(B)</bold> The levels of serum ALT and AST. <bold>(C)</bold> The representative image of H&#x0026;E staining. <bold>(D)</bold> The representative image of oil red O staining. <bold>(E&#x2013;G)</bold> The representative image and statistical data of Masson staining and TGF-&#x03B2; IHC staining. <bold>(H)</bold> Western blots were performed to detect protein levels of Lxr, Ppar&#x03B3;, Srebp1c, and Fasn. Magnification, H&#x0026;E&#x2009;&#x00D7;&#x2009;200 <bold>(</bold>C<bold>)</bold>, oil red O&#x2009;&#x00D7;&#x2009;200 <bold>(</bold>D<bold>)</bold>, Masson &#x00D7;200 <bold>(</bold>E<bold>)</bold>, TGF-&#x03B2;&#x2009;&#x00D7;&#x2009;200 <bold>(</bold>F<bold>)</bold>. Data are expressed as the mean&#x2009;&#x00B1;&#x2009;SEM. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. BC, non-alcoholic steatohepatitis control group; BT, non-alcoholic steatohepatitis group; BS, non-alcoholic steatohepatitis&#x2009;+&#x2009;SJP treatment group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g004.tif"/>
</fig>
<p>We further detected the protein expression of lipid synthesis related genes (<xref ref-type="fig" rid="fig4">Figure 4H</xref>). Western blot analysis revealed that the expression of Srebp1c was significantly downregulated in NASH mice compared with the controls, whereas the expression of Ppar&#x03B3; and Lxr was significantly upregulated (all <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). However, SJP treatment did not reverse the alteration of these lipid synthesis related genes and might even increase Ppar&#x03B3; expression (<xref ref-type="supplementary-material" rid="SM4">Supplementary Figure S3A</xref>). Taken together, our results showed that SJP could attenuate liver inflammatory injury and lipid deposition in NASH mice.</p>
</sec>
<sec id="sec28">
<label>3.4.2</label>
<title>SJP regulated the intestinal microbiota of NASH mice</title>
<sec id="sec29">
<label>3.4.2.1</label>
<title>SJP changed intestinal microbial diversity in NASH mice</title>
<p>Pan/core analysis was first conducted to evaluate whether the sample size was sufficient to assess the total species richness and the number of core species, and then the smooth Shannon rarefaction curves were exhibited to demonstrate the sequencing depth was sufficient to capture biodiversity in the tested samples (<xref ref-type="fig" rid="fig5">Figures 5A</xref>&#x2013;<xref ref-type="fig" rid="fig5">C</xref>). Alpha diversity analysis indicated an increase in the species of intestinal microbiota community and in the uniformity of species distribution in NASH mice with elevated Shannon and Simpson indexes, while SJP seemed to have very little impact on Alpha diversity (<xref ref-type="fig" rid="fig5">Figures 5D</xref>&#x2013;<xref ref-type="fig" rid="fig5">E</xref>). The &#x03B2;-diversity analysis showed apparent clustering distribution among the three groups, which indicated apparent between-group differences in the intestinal microbiota of NASH mice, the controls and the SJP-treated mice (<xref ref-type="fig" rid="fig5">Figure 5F</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Analysis of microbiota community diversity of intestinal microbiota in NASH mice. <bold>(A)</bold> Pan analysis; <bold>(B)</bold> Core analysis; <bold>(C)</bold> Shannon curves; <bold>(D)</bold> Alpha diversity analysis at the OTU level; <bold>(E)</bold> Alpha diversity analysis at the genus level; <bold>(F)</bold> Beta diversity analysis at OTU and genus levels. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. BC, non-alcoholic steatohepatitis control group; BT, non-alcoholic steatohepatitis group; BS, non-alcoholic steatohepatitis&#x2009;+&#x2009;SJP treatment group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g005.tif"/>
</fig>
</sec>
<sec id="sec30">
<label>3.4.2.2</label>
<title>SJP modulated the intestinal microbiota composition in NASH mice</title>
<p>At the phylum level, the abundance of Firmicutes in the NASH mice increased significantly, while the abundance of Verrucomicrobia and Actinobacteria decreased significantly when compared with the controls. SJP treatment slightly reversed these changes, but there were no statistical differences (<xref ref-type="fig" rid="fig6">Figure 6A</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>SJP treatment affected the composition of intestinal microbiota in NASH mice. <bold>(A)</bold> The relative abundance of intestinal microbiota in each group. <bold>(B)</bold> The relative abundance of intestinal microbiota in each group. <bold>(C,D)</bold> Microbial community bar plot at the genus level with the relative abundance within the top 15 between groups (BC vs. BT and BT vs. BS). <bold>(E)</bold> PICRUSt2 was used to predict the function of the top 30 abundant species in the intestinal microbiota in each group. Data are expressed as the mean&#x2009;&#x00B1;&#x2009;SEM. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; &#x272E;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 vs. BC group; <sup>#</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 vs. BC group. BC, non-alcoholic steatohepatitis control group; BT, non-alcoholic steatohepatitis group; BS, non-alcoholic steatohepatitis&#x2009;+&#x2009;SJP treatment group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g006.tif"/>
</fig>
<p>At the genus level, we found significant differences in intestinal microbiota among the three groups. Except for Norank-f-Bacteroidales-S24-7 and Helicobacter, the abundance of another 13 top abundant species varied greatly among the three groups, including Akkermansia, Alloprevotella, Norank-f-Erysipelotrichaceae, etc. (<xref ref-type="fig" rid="fig6">Figure 6B</xref>). To further identify the species that discriminate NASH from the controls and SJP-treated mice, differences between groups were analyzed by the Wilcoxon rank-sum test. Our results showed that the abundance of Faecalibaculum, Akkermansia and Bifidobacterium in NASH mice was significantly lower than that of controls, while some species were significantly increased, including Bacteroidetes, Blautia, Alistipes, etc. (<xref ref-type="fig" rid="fig6">Figure 6C</xref>). SJP treatment significantly increased the abundance of Akkermansia and Alloprevotella and decreased the abundance of Unclassified-f-Peptostreptococeceae and Blautia (<xref ref-type="fig" rid="fig6">Figure 6D</xref>). The above results suggested that SJP might have the potential to regulate intestinal dysbiosis in NASH mice.</p>
</sec>
<sec id="sec31">
<label>3.4.2.3</label>
<title>Potential effect of SJP on biological activities <italic>in vivo</italic> from function prediction of the intestinal microbiota</title>
<p>The PICRUSt2 analysis showed that the enrichment of intestinal microbiota in NASH mice was significantly increased in all of the pathway level3 when compared with the controls, while SJP seemed to reverse these changes slightly as we observed a color gradient from red to blue in the heatmap which indicated a gradual decrease in intestinal microbiota enrichment (<xref ref-type="fig" rid="fig6">Figure 6E</xref>).</p>
</sec>
</sec>
</sec>
<sec id="sec32">
<label>3.5</label>
<title>Effect of SJP on CDAHFD-induced NLF</title>
<sec id="sec33">
<label>3.5.1</label>
<title>SJP might attenuate liver lipid accumulation in NLF mice</title>
<p>Mice were subjected to different treatments according to the experimental design (<xref ref-type="fig" rid="fig7">Figure 7A</xref>). As in NASH mice, CDAHFD feeding induced apparent weight loss and serum TG and TC reduction (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>). But CDAHFD feeding also induced a significant increase in serum ALT and AST, hepatic steatosis and inflammatory infiltration as well as liver fibrosis according to the H&#x0026;E staining (<xref ref-type="fig" rid="fig7">Figures 7B</xref>,<xref ref-type="fig" rid="fig7">C</xref>; <xref ref-type="supplementary-material" rid="SM3">Supplementary Figure S2B</xref>). The oil red O staining suggested significant lipid deposition in the liver, and the Masson score and increased tissue TGF-&#x03B2; expression similarly revealed hepatic fibrosis in NLF mice (<xref ref-type="fig" rid="fig7">Figures 7D</xref>&#x2013;<xref ref-type="fig" rid="fig7">G</xref>). SJP treatment significantly altered mRNA and protein expression of lipid-related genes in NLF mice (<xref ref-type="fig" rid="fig7">Figure 7H</xref>; <xref ref-type="supplementary-material" rid="SM4">Supplementary Figures S3B,C</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>To evaluate the therapeutic effect of SJP on NLF mice. <bold>(A)</bold> The experimental design and timeline of C57BL/6 mice. <bold>(B)</bold> The levels of serum ALT and AST. <bold>(C)</bold> The representative image of H&#x0026;E staining. <bold>(D)</bold> The representative image of oil red O staining. <bold>(E&#x2013;G)</bold> The representative image and statistical data of Masson staining and TGF-&#x03B2; immunohistochemical staining. <bold>(H)</bold> Western blots were performed to detect protein levels of Lxr, Ppar&#x03B3;, Srebp1c, and Fasn. Magnification, H&#x0026;E&#x2009;&#x00D7;&#x2009;200 <bold>(</bold>C<bold>)</bold>, oil red O&#x2009;&#x00D7;&#x2009;200 <bold>(</bold>D<bold>)</bold>, Masson &#x00D7;200 <bold>(</bold>E<bold>)</bold>, TGF-&#x03B2;&#x2009;&#x00D7;&#x2009;200 <bold>(</bold>F<bold>)</bold>. Data are expressed as the mean&#x2009;&#x00B1;&#x2009;SEM. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. CC, liver fibrosis control group; CT, liver fibrosis group; CS, liver fibrosis&#x2009;+&#x2009;SJP treatment group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g007.tif"/>
</fig>
</sec>
<sec id="sec34">
<label>3.5.2</label>
<title>SJP regulated the intestinal microbiota of NLF mice</title>
<sec id="sec35">
<label>3.5.2.1</label>
<title>SJP changed intestinal microbial diversity in NLF mice</title>
<p>Similarly, pan/core analysis was first conducted to evaluate whether the sample size was sufficient to assess the total species richness and the number of core species, and then the smooth Shannon rarefaction curves were exhibited to demonstrate the sequencing depth was sufficient to capture biodiversity in the tested samples, and thereafter the intestinal microbial diversity was analyzed (<xref ref-type="fig" rid="fig8">Figures 8A</xref>&#x2013;<xref ref-type="fig" rid="fig8">C</xref>). The &#x03B1; diversity analysis revealed an increase in the intestinal microbiota community diversity of NLF mice with elevated Shannon and Simpson indexes at the genus level, but a decrease in the community richness with reduced Chao index and Ace index at the OTU level. SJP treatment significantly increased the intestinal microbiota community richness in NLF mice (<xref ref-type="fig" rid="fig8">Figures 8D</xref>&#x2013;<xref ref-type="fig" rid="fig8">E</xref>). Consistently, distinct between-group differences were observed in the intestinal microbiota of NLF mice according to the apparent clustering distribution of individuals from each group, which indicated the alteration of the intestinal microbiota with disease and treatment (<xref ref-type="fig" rid="fig8">Figure 8F</xref>).</p>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Analysis of microbiota community diversity of intestinal microbiota in NLF mice. <bold>(A)</bold> Pan analysis; <bold>(B)</bold> Core analysis; <bold>(C)</bold> Shannon curves; <bold>(D)</bold> Alpha diversity analysis at OTU level; <bold>(E)</bold> Alpha diversity analysis at the genus level; <bold>(F)</bold> Beta diversity analysis at OTU and genus levels. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001. CC, liver fibrosis control group; CT, liver fibrosis group; CS, liver fibrosis&#x2009;+&#x2009;SJP treatment group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g008.tif"/>
</fig>
</sec>
<sec id="sec36">
<label>3.5.2.2</label>
<title>SJP modulated the intestinal microbiota composition in NLF mice</title>
<p>At the phylum level, the abundance of Firmicutes and Verrucomicrobia in NLF mice increased significantly when compared to the controls, while SJP treatment led to a decrease in Firmicutes. Moreover, SJP induced marked decrease in the abundance of Actinobacteria (<xref ref-type="fig" rid="fig9">Figure 9A</xref>).</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>SJP treatment affected the composition of intestinal microbiota in NLF mice. <bold>(A)</bold> The relative abundance of intestinal microbiota in each group. <bold>(B)</bold> The relative abundance of intestinal microbiota in each group. <bold>(C,D)</bold> Microbial community bar plot at the genus level with the relative abundance within the top 15 between groups (CC vs. CT and CT vs. CS). <bold>(E)</bold> PICRUSt2 was used to predict the function of the top 30 abundant species in the intestinal flora of mice. Data are expressed as the mean&#x2009;&#x00B1;&#x2009;SEM. &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <sup>#</sup><italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 vs. CC group; <sup>O</sup><italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 vs. CT group. CC, liver fibrosis control group; CT, liver fibrosis group; CS, liver fibosis&#x2009;+&#x2009;SJP treatment group.</p>
</caption>
<graphic xlink:href="fmicb-15-1387401-g009.tif"/>
</fig>
<p>At the genus level, there were significant differences in the abundance of multiple genera among the three groups, including <italic>Akkermansia</italic>, <italic>norank-f-Erysipelotrichaceae</italic>, <italic>Desulfovibrio</italic>, and so on (<xref ref-type="fig" rid="fig9">Figure 9B</xref>). Then, further between-group differences analysis showed that the abundance of intestinal <italic>norank-f-Bacteroidales-S24-7-group</italic> decreased significantly in NLF mice, while <italic>Roseburia</italic>, <italic>norank-f-Erysipelotrichaceae</italic>, <italic>Allobaculum</italic>, <italic>Eubacterium-fissiatena-group</italic>, <italic>Unclassified-f-Peptostreptococeceae</italic>, and <italic>Bacteroides</italic> increased significantly (<xref ref-type="fig" rid="fig9">Figure 9C</xref>). In addition, the abundance of <italic>Akkermansia</italic> and <italic>unclassified-f-Lachnospiraceae</italic> increased significantly, while the abundance of <italic>norank-f-Erysipelotrichaceae, Lachnospiraceae-NK4A136-group, Faecalibaculum</italic>, and <italic>Allobaculum</italic> decreased significantly after SJP treatment (<xref ref-type="fig" rid="fig9">Figure 9D</xref>). The above results suggested that SJP might have the potential to regulate the intestinal microbiota of NLF mice and make them return to a normal state.</p>
</sec>
<sec id="sec37">
<label>3.5.2.3</label>
<title>SJP affects biological processes <italic>in vivo</italic> by regulating the intestinal microbiota in NLF mice</title>
<p>The PICRUSt2 result showed no significant difference in the enrichment of the main intestinal microbiota in pathway level3 between the NLF mice and the controls. However, the enrichment of intestinal microbiota in SJP treated mice was much higher than that of NLF mice. According to our results, the changes in intestinal microbiota caused by SJP affected most of the <italic>in vivo</italic> biological processes, including metabolism, genetic information processing, environmental information processing, cellular process, human disease, and organism system (<xref ref-type="fig" rid="fig9">Figure 9E</xref>).</p>
</sec>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec38">
<label>4</label>
<title>Discussion</title>
<p>In the present study, we established NAFLD mice models with different severity by special feeding and these models exhibited a series of clinical features that were consistent with different stages of NAFLD. Then, we found that the protective effect of SJP diminished with the NAFLD severity. Briefly, SJP decreased the body weight and serum TG level, regulated the expression of lipid synthesis related genes, improved liver function and hepatic steatosis in SFL mice. SJP reduced the liver enzyme level and hepatic lipid deposition but did not improve liver pathological damage in NASH mice. While in NLF mice, SJP appeared to only affect PPAR &#x03B3; expression with no obvious protective effect on liver inflammation, steatosis or fibrosis. Despite the protective effect on liver pathology was limited, SJP did reduce hepatic lipid deposition in all NAFLD mice as we observed in oil red O staining. Similarly, we have detected obvious changes in intestinal microbiota in all NAFLD mice after SJP treatment.</p>
<p>Hepatic lipid synthesis is a rigorously regulated biological process that is extremely important for the synthesis of very low-density lipoproteins and tissue energy transfer. Excessive fat intake induces the massive production of triglycerides, the accumulation of lipid droplets in hepatocytes, and ultimately leads to the formation of fatty liver (<xref ref-type="bibr" rid="ref44">Wu et al., 2020</xref>). The expression of lipid synthesis genes is regulated by a series of transcription factors, including Srebp1c, Lxr, PPARs, etc. (<xref ref-type="bibr" rid="ref41">Sohrabi et al., 2020</xref>). Srebp1c is the main transcription factor regulating fatty acid synthesis in the liver. Over-expression of Srebp1c can affect lipid accumulation and oxidation in the liver and other non-adipose tissues. When there is excess energy, Srebp1c is activated, which leads to lipid accumulation and ultimately causes fatty liver, insulin resistance, insulin secretion deficiency, and dyslipidemia (<xref ref-type="bibr" rid="ref18">Ju et al., 2020</xref>). In this experiment, hepatic expression of Srebp1c was significantly reduced in NASH and NLF mice, which seems to be contrary to the current generally increased Srebp1c expression in HFD induced fatty liver models. This may be related to the fact that CDAHFD feeding did not cause obesity in our mice models, as the same decreased Srebp1c expression was also found in the non-obese mouse model of NASH established with MCD feeding by <xref ref-type="bibr" rid="ref45">Yamamoto et al. (2016)</xref>. Ppar&#x03B3; also plays an important role in regulating lipid metabolism, especially in lipid production gene expression and liver lipid synthesis induced by HFD (<xref ref-type="bibr" rid="ref31">Liu et al., 2019</xref>). Ppar&#x03B3; can improve insulin sensitivity, inhibit lipolysis of adipose tissue, reduce the release of free fatty acids from central adipose tissue, and prevent ectopic fat deposition in the liver and pancreas (<xref ref-type="bibr" rid="ref39">Ryyti et al., 2021</xref>). Excess energy induces abnormal Ppar&#x03B3; activation in liver and then promotes the occurrence of hepatic fat deposition. In a HFD induced NAFLD animal model, the expression of Ppar&#x03B3; in the liver increased significantly and the liver gradually developed steatosis as time went on (<xref ref-type="bibr" rid="ref48">Yu et al., 2003</xref>). A high level of Ppar&#x03B3; expression in the liver, however, can prevent fat deposition in other tissues from insulin resistance, while suppressing the expression of other nuclear transcription factors and their downstream inflammatory genes to reduce the inflammatory response, thus realizing self-protection of the body (<xref ref-type="bibr" rid="ref13">Gross et al., 2017</xref>). In the present study, we found that the hepatic expression of Ppar&#x03B3; tended to increase in all NAFLD mice models, especially in NASH mice, while the expression was further promoted by SJP treatment. The protective effect of SJP on NAFLD might be related to the regulation of Ppar&#x03B3; expression. In addition, Fasn is a fatty acid synthase that is mainly involved in the synthesis of long-chain saturated fatty acids such as palmitic acid, and its expression is regulated by transcription factors such as Srebp1c and Ppar&#x03B3; (<xref ref-type="bibr" rid="ref21">Kim et al., 2022</xref>). Further studies on the expression of lipid synthesis proteins at different stages of NAFLD may help us better understand how lipid metabolism disorders affect the pathophysiological process of NAFLD.</p>
<p>Intestinal microbiota is a complex ecological community that performs many functions vital to health and survival, including digesting food, producing anti-inflammatory substances, promoting metabolism, and regulating the immune system (<xref ref-type="bibr" rid="ref46">Yan et al., 2022</xref>). Microbiota affect the physiology and susceptibility to disease of the host through their collective metabolic activities and host interactions. Therefore, the composition of the microbiota at the community level varies with the physiological state of the host and is closely related to the health of the host (<xref ref-type="bibr" rid="ref32">Liu et al., 2022</xref>). Bacteria are the main members of the intestinal microbiota, and the intestinal microbiota of mice mainly comes from Firmicutes, Bacteroidetes, Verrucomicrobia, Actinobacteria, and Proteobacteria. Among them, Firmicutes and Bacteroidetes constitute the largest components of intestinal microbiota (<xref ref-type="bibr" rid="ref10">Duan et al., 2010</xref>). Factors such as age, disease, host genes, and dietary habits all affect the composition of the microbiota. Indeed, it is generally believed that diet has a substantial impact on regulating the structure of the intestinal microbiota, which in turn affects intestinal metabolism (<xref ref-type="bibr" rid="ref28">Li et al., 2022</xref>). Integrative analysis of the microbiota and metabolome of the human intestinal mucosal surface reveals their exquisite interrelationships. Accumulated evidences have revealed that HFD reduced the intestinal microbial diversity and increased Firmicutes/Bacteroidetes flora ratio, thus increased energy acquisition in the gut which provided more substrates for the activation of the lipogenesis pathway while inducing upregulation of genes involved in lipid metabolism in the distal small intestine in both humans and animals (<xref ref-type="bibr" rid="ref9">Do et al., 2018</xref>). And the idea that increased Firmicutes/Bacteroidetes flora ratio is correlated with the development of NAFLD is well accepted nowadays. Many studies believe that the importance of the Bacteroidetes phylum bacteria in the gut flora is based on their effects on the production of short-chain fatty acids (SCFAs) and the metabolism of the intestinal microbes. For example, a 20% decrease in the fecal Bacteroidetes community and a corresponding increase in Firmicutes bacteria will result in a 150&#x2009;kcal increase in energy obtained from the diet, while the SCFAs produced in the gut can provide energy to the liver, and they may also reduce energy harvest and protect against fatty liver by increasing Bacteroidetes/Firmicutes ratio (<xref ref-type="bibr" rid="ref19">Jumpertz et al., 2011</xref>). Our results also detected a significant increase in Firmicutes phylum bacteria in all of the NAFLD mice despite there was no significant changes in the proportion of Bacteroidetes phylum bacteria. In fact, many SCFAs-producing bacteria are from Firmicutes phylum, such as <italic>Roseburia, Blautia, Fusobacterium, Coprococcus, Ruminococcus</italic> and so on. The increased abundance of these bacteria will promote glucose and lipid metabolism, hence benefit for NAFLD.</p>
<p>At the genus level, we found that most of the microorganisms that contributed to the significant differences between groups in NAFLD mice with varying severity had the ability to produce SCFAs, including <italic>Faecalibaculum, Blautia, Lachnospiraceae NK4A136-group, unclassified-f-Lachnospiraceae, Roseburia, norank-f-Lachnospiraceae, Ruminiclostridium-9, Eubacterium_fissicatena-group, norank-f-Erysipelotrichaceae, Lactobacillus, norank-f-Bacteroidales-S24&#x2013;7-group, Bacteroidales and Allobaculum</italic> et al. SCFAs are the main end products of the bacterial fermentation of soluble dietary fiber and indigestible carbohydrates, mainly including formic acid, acetic acid, propionate and butyric acid (<xref ref-type="bibr" rid="ref22">Koh et al., 2016</xref>). SCFAs have multiple effects on maintaining human health, such as protecting the intestinal mucosal barrier, acting as the nutritional and energy component of the intestinal epithelium, reducing inflammation, and enhancing gastrointestinal function. They essentially represent the main carbon flow from the intestinal microbiota to the host, changing the energy harvest and regulating metabolic processes, including regulating appetite, promoting energy expenditure, stimulating insulin sensitivity, reducing energy harvest, and thus affecting the development of NAFLD (<xref ref-type="bibr" rid="ref37">Morrison and Preston, 2016</xref>). It was found that the abundance of intestinal SCFAs-producing bacteria in patients with NAFLD became a characteristic change in gut microbial composition in NASH patients (<xref ref-type="bibr" rid="ref38">Rau et al., 2018</xref>). <xref ref-type="bibr" rid="ref3">Boursier et al. (2016)</xref> found that the severity of NAFLD was associated with gut dysbiosis and metabolic functional shifts in the gut microbiota, where increased Bacteroides abundance was independently associated with NASH, and increased Ruminococcus abundance was independently associated with liver fibrosis. In our study, the abundance of <italic>Lactobacillus</italic> and <italic>Bifidobacterium</italic> was significantly decreased in SFL mice, while the abundance of <italic>Desulfovibrio, unclassified-f-Lachnospiraceae</italic> and <italic>Lachnospiraceae NK4A136-group</italic> was significantly increased. In NASH mice, the abundance of intestinal <italic>Faecalibaculum, Akkermansia</italic> and <italic>Bifidobacterium</italic> was significantly decreased, while the abundance of <italic>Bacteroides, Lachnospiraceae NK4A136-group, unclassified-f-Lachnospiraceae, Blautia, norank-f-Lachnospiraceae, Unclassified-f-Peptostreptococeceae, Alistipes, Enterococcus</italic> and <italic>Ruminiclostridium-9</italic> was significantly increased. In NLF mice, the abundance of <italic>norank-f-Bacteroidales-S24-7-group</italic> was significantly decreased, while the abundance of <italic>Bacteroides, norank-f-Erysipelotrichaceae, Eubacterium-fissiatena-group, Allobaculum, Unclassified-f-Peptostreptococeceae</italic> and <italic>Roseburia</italic> was significantly increased. According to current researches, the above apparently changing bacteria take part in a series of <italic>in vivo</italic> biological processes, such as metabolic and immune regulation. For example, <italic>Akkermansia</italic> has been demonstrated to be involved in regulating metabolic and immune function, protecting mice from HFD induced injuries and may also increase intestinal endocannabinoid levels, thus improving inflammation and intestinal barrier function (<xref ref-type="bibr" rid="ref7">Derrien et al., 2017</xref>; <xref ref-type="bibr" rid="ref49">Zhang et al., 2019</xref>). <italic>Allobaculum</italic> was reported to be positively correlated with the expression of angiogenin-like protein 4 (ANGPTL4), a key regulator of lipid metabolism and a circulating mediator of gut microbiota and fat deposition (<xref ref-type="bibr" rid="ref50">Zheng et al., 2021</xref>). The abundance of intestinal <italic>Blautia</italic> and <italic>Bifidobacterium</italic> was found to be negatively correlated with human visceral fat (<xref ref-type="bibr" rid="ref26">Li et al., 2022</xref>). Some researches revealed that the consumption of <italic>Blautia</italic> in obese children is related to the deterioration of intestinal inflammation and metabolic phenotype (<xref ref-type="bibr" rid="ref1">Ben&#x00ED;tez-P&#x00E1;ez et al., 2020</xref>). While other studies found the abundance of <italic>Blautia</italic> and <italic>Allobaculum</italic> was positively correlated with serum triglyceride, low density lipoprotein, IL-6, IL-1&#x03B2;, TNF-&#x03B1;, and body weight, but negatively correlated with serum high density lipoprotein level in HFD-induced fatty liver model (<xref ref-type="bibr" rid="ref42">Tang et al., 2018</xref>). The <italic>norank-f-Erysipelotrichaceae</italic> is derived from the Erysipelotrichaceae family which has been shown to be associated with gastrointestinal inflammation. While the abundance of <italic>Erysipelotrichaceae</italic> was increased in mice with TNF-&#x03B1;-driven Crohn&#x2019;s disease-like transmural inflammation, it significantly decreased in patients with recurrent Crohn&#x2019;s disease. The above different performance may be due to host differences (<xref ref-type="bibr" rid="ref8">Dey et al., 2013</xref>). <italic>Eubacterium_fissicatena-group</italic>, a butyrate producing bacteria, has been demonstrated to have a high correlation with host obesity and obesity-related metabolic disorder, and the increase of abundance can lead to an increase in the intestinal microbial choline metabolite trimlamine oxide (TMAO), which will affect lipid and hormone homeostasis, enhance the expression of adhesion proteins and induce vascular inflammation. <italic>Roseburia</italic> plays an important role in metabolism and inflammation regulation, and it was confirmed to be efficient in reducing liver steatosis and inflammatory response. In the present study, after analyzing the alteration in the gut microbiota of NAFLD mice with different severity with or without SJP treatment, we found a very interesting phenomenon: all the decreased bacteria were beneficial among the apparent changed SCFAs-producing bacterium; the abundance of bacterium with pro-inflammatory effects, such as <italic>Desulfovibrio</italic>, <italic>Enterococcus</italic> and <italic>Eubacterium_fissicatena-group</italic> was significantly increased; and the abundance of anti-inflammatory bacterium, such as <italic>Akkermansia</italic>, <italic>Lactobacillus</italic>, <italic>norank-f-Bacteroidales-S24-7-group</italic> and <italic>Bifidobacterium</italic> was significantly decreased. Moreover, SJP treatment can effectively increase the intestinal <italic>Roseburia</italic> abundance in SFL mice and the <italic>Akkermansia</italic> abundance in NASH and NLF mice. The beneficial effect of SJP on NAFLD may be associated with the regulation of the above bacterium.</p>
<p>In the present study, the functional prediction of the top 30 highly abundant species in the gut microbiota of NAFLD mice showed that the gut microbiota of SFL and NASH mice was significantly enriched in a series of level3 signal pathways and participated in various biological activities including metabolism, genetic information processing, environmental information processing, cell progression, human disease and organism system. There was no significant difference in the enrichment of gut microbiota in above signal pathways between the NLF mice and the controls. While SJP treatment not only increased the enrichment of gut microbiota in certain pathways in SFL mice, but also increased the enrichment in almost all the level3 pathways involved in NLF mice. Thus, we concluded that SJP may be involved in regulating multiple pathophysiological processes in HFD induced NAFLD mice model by regulating the gut microbiota. However, due to the limited understanding of the function of intestinal microflora and their specific role <italic>in vivo</italic>, the specific mechanism of how their changes affect the occurrence and development of NAFLD, and how the SJP regulates the intestinal microbiota still needs further study.</p>
<p>Current researches has demonstrated that SJP is benefit for NAFLD, but it is not clear whether it has a role in different severity and how it affects the severity of the disease. So we designed this study to further explore the effect of SJP on NASH and NLF based on our previous finding that SJP can improve HFD induced SFL through regulating the intestinal microbiota. In our study, unlike SFL mice models induced by HFD feeding, NASH and NLF mice models are induced by a special HFD feeding CDAHFD because even prolonged HFD feeding is difficult to establish the characteristic inflammation and fibrosis manifestations of the NASH and NLF models. Fortunately, CDAHFD feeding is currently a very mature method to establish NASH and NLF models, which can well simulate the histopathological changes of NASH and NLF. And future models that can better mimic NAFLD may allow for better validation of our current findings.</p>
<p>In summary, we found significant differences in the intestinal microbiota of NAFLD mice with different severity, and SJP could regulate the gut microbiota composition and thereby affect the related biological activities. SJP was much suitable for early treatment of NAFLD as the protective effect diminished with the disease severity and the potential mechanism might be related to the regulation of intestinal microbiota.</p>
</sec>
<sec sec-type="data-availability" id="sec39">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="ethics-statement" id="sec40">
<title>Ethics statement</title>
<p>The animal study was approved by Experimental Animal Ethics Committee, West China Hospital, Sichuan University. The study was conducted in accordance with the local legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec41">
<title>Author contributions</title>
<p>PZ: Writing &#x2013; original draft, Data curation, Formal analysis. JL: Writing &#x2013; review &#x0026; editing, Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology. YM: Writing &#x2013; original draft, Data curation, Investigation. XZ: Writing &#x2013; original draft, Formal analysis, Software. LZ: Writing &#x2013; original draft, Investigation, Methodology. JY: Writing &#x2013; original draft, Data curation, Methodology. MW: Writing &#x2013; review &#x0026; editing, Conceptualization, Supervision. WT: Conceptualization, Funding acquisition, Methodology, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec43">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (Grant no. 81603519, 82174264, and 82004227); and the Natural Science Foundation of Sichuan (Grant no. 23NSFSC2951).</p>
</sec>
<sec sec-type="COI-statement" id="sec44">
<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="sec45">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec46">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2024.1387401/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2024.1387401/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_1.JPEG" id="SM2" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_2.JPEG" id="SM3" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image_3.JPEG" id="SM4" mimetype="image/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ben&#x00ED;tez-P&#x00E1;ez</surname> <given-names>A.</given-names></name> <name><surname>G&#x00F3;mez Del Pugar</surname> <given-names>E. M.</given-names></name> <name><surname>L&#x00F3;pez-Almela</surname> <given-names>I.</given-names></name> <name><surname>Moya-P&#x00E9;rez</surname> <given-names>&#x00C1;.</given-names></name> <name><surname>Codo&#x00F1;er-Franch</surname> <given-names>P.</given-names></name> <name><surname>Sanz</surname> <given-names>Y.</given-names></name></person-group> (<year>2020</year>). <article-title>Depletion of Blautia species in the microbiota of obese children relates to intestinal inflammation and metabolic phenotype worsening</article-title>. <source>mSystems</source> <volume>5</volume>:<fpage>5</fpage>. doi: <pub-id pub-id-type="doi">10.1128/mSystems.00857-19</pub-id></citation>
</ref>
<ref id="ref2">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Borrelli</surname> <given-names>A.</given-names></name> <name><surname>Bonelli</surname> <given-names>P.</given-names></name> <name><surname>Tuccillo</surname> <given-names>F. M.</given-names></name> <name><surname>Goldfine</surname> <given-names>I. D.</given-names></name> <name><surname>Evans</surname> <given-names>J. L.</given-names></name> <name><surname>Buonaguro</surname> <given-names>F. M.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Role of gut microbiota and oxidative stress in the progression of non-alcoholic fatty liver disease to hepatocarcinoma: current and innovative therapeutic approaches</article-title>. <source>Redox Biol.</source> <volume>15</volume>, <fpage>467</fpage>&#x2013;<lpage>479</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.redox.2018.01.009</pub-id>, PMID: <pub-id pub-id-type="pmid">29413959</pub-id></citation>
</ref>
<ref id="ref3">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boursier</surname> <given-names>J.</given-names></name> <name><surname>Mueller</surname> <given-names>O.</given-names></name> <name><surname>Barret</surname> <given-names>M.</given-names></name> <name><surname>Machado</surname> <given-names>M.</given-names></name> <name><surname>Fizanne</surname> <given-names>L.</given-names></name> <name><surname>Araujo-Perez</surname> <given-names>F.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>The severity of nonalcoholic fatty liver disease is associated with gut dysbiosis and shift in the metabolic function of the gut microbiota</article-title>. <source>Hepatology</source> <volume>63</volume>, <fpage>764</fpage>&#x2013;<lpage>775</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hep.28356</pub-id>, PMID: <pub-id pub-id-type="pmid">26600078</pub-id></citation>
</ref>
<ref id="ref4">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>Q.</given-names></name> <name><surname>Wang</surname> <given-names>T.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Wang</surname> <given-names>S.</given-names></name> <name><surname>Qiu</surname> <given-names>F.</given-names></name> <name><surname>Yu</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Effects of natural products on fructose-induced nonalcoholic fatty liver disease (NAFLD)</article-title>. <source>Nutrients</source> <volume>9</volume>:<fpage>e96</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu9020096</pub-id>, PMID: <pub-id pub-id-type="pmid">28146130</pub-id></citation>
</ref>
<ref id="ref5">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cossiga</surname> <given-names>V.</given-names></name> <name><surname>Lembo</surname> <given-names>V.</given-names></name> <name><surname>Guarino</surname> <given-names>M.</given-names></name> <name><surname>Tuccillo</surname> <given-names>C.</given-names></name> <name><surname>Morando</surname> <given-names>F.</given-names></name> <name><surname>Pontillo</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Berberis aristata, Elaeis guineensis and Coffea canephora extracts modulate the insulin receptor expression and improve hepatic steatosis in NAFLD patients: a pilot clinical trial</article-title>. <source>Nutrients</source> <volume>11</volume>:<fpage>11</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu11123070</pub-id></citation>
</ref>
<ref id="ref6">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Minicis</surname> <given-names>S.</given-names></name> <name><surname>Rychlicki</surname> <given-names>C.</given-names></name> <name><surname>Agostinelli</surname> <given-names>L.</given-names></name> <name><surname>Saccomanno</surname> <given-names>S.</given-names></name> <name><surname>Candelaresi</surname> <given-names>C.</given-names></name> <name><surname>Trozzi</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>Dysbiosis contributes to fibrogenesis in the course of chronic liver injury in mice</article-title>. <source>Hepatology</source> <volume>59</volume>, <fpage>1738</fpage>&#x2013;<lpage>1749</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hep.26695</pub-id>, PMID: <pub-id pub-id-type="pmid">23959503</pub-id></citation>
</ref>
<ref id="ref7">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Derrien</surname> <given-names>M.</given-names></name> <name><surname>Belzer</surname> <given-names>C.</given-names></name> <name><surname>de Vos</surname> <given-names>W. M.</given-names></name></person-group> (<year>2017</year>). <article-title>Akkermansia muciniphila and its role in regulating host functions</article-title>. <source>Microb. Pathog.</source> <volume>106</volume>, <fpage>171</fpage>&#x2013;<lpage>181</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.micpath.2016.02.005</pub-id></citation>
</ref>
<ref id="ref8">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dey</surname> <given-names>N.</given-names></name> <name><surname>Soergel</surname> <given-names>D. A. W.</given-names></name> <name><surname>Repo</surname> <given-names>S.</given-names></name> <name><surname>Brenner</surname> <given-names>S. E.</given-names></name></person-group> (<year>2013</year>). <article-title>Association of gut microbiota with post-operative clinical course in Crohn&#x2019;s disease</article-title>. <source>BMC Gastroenterol.</source> <volume>13</volume>:<fpage>131</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1471-230X-13-131</pub-id>, PMID: <pub-id pub-id-type="pmid">23964800</pub-id></citation>
</ref>
<ref id="ref9">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Do</surname> <given-names>M. H.</given-names></name> <name><surname>Lee</surname> <given-names>E.</given-names></name> <name><surname>Oh</surname> <given-names>M.-J.</given-names></name> <name><surname>Kim</surname> <given-names>Y.</given-names></name> <name><surname>Park</surname> <given-names>H.-Y.</given-names></name></person-group> (<year>2018</year>). <article-title>High-glucose or -fructose diet cause changes of the gut microbiota and metabolic disorders in mice without body weight change</article-title>. <source>Nutrients</source> <volume>10</volume>:<fpage>e761</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu10060761</pub-id>, PMID: <pub-id pub-id-type="pmid">29899272</pub-id></citation>
</ref>
<ref id="ref10">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Duan</surname> <given-names>J.</given-names></name> <name><surname>Chung</surname> <given-names>H.</given-names></name> <name><surname>Troy</surname> <given-names>E.</given-names></name> <name><surname>Kasper</surname> <given-names>D. L.</given-names></name></person-group> (<year>2010</year>). <article-title>Microbial colonization drives expansion of IL-1 receptor 1-expressing and IL-17-producing gamma/delta T cells</article-title>. <source>Cell Host Microbe</source> <volume>7</volume>, <fpage>140</fpage>&#x2013;<lpage>150</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.chom.2010.01.005</pub-id>, PMID: <pub-id pub-id-type="pmid">20159619</pub-id></citation>
</ref>
<ref id="ref11">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Estes</surname> <given-names>C.</given-names></name> <name><surname>Razavi</surname> <given-names>H.</given-names></name> <name><surname>Loomba</surname> <given-names>R.</given-names></name> <name><surname>Younossi</surname> <given-names>Z.</given-names></name> <name><surname>Sanyal</surname> <given-names>A. J.</given-names></name></person-group> (<year>2018</year>). <article-title>Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease</article-title>. <source>Hepatology</source> <volume>67</volume>, <fpage>123</fpage>&#x2013;<lpage>133</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hep.29466</pub-id>, PMID: <pub-id pub-id-type="pmid">28802062</pub-id></citation>
</ref>
<ref id="ref12">
<citation citation-type="other"><person-group person-group-type="author"><name><surname>Fei</surname> <given-names>N.</given-names></name> <name><surname>Bruneau</surname> <given-names>A.</given-names></name> <name><surname>Zhang</surname> <given-names>X.</given-names></name></person-group> (<year>2020</year>). <source>Endotoxin producers overgrowing in human gut microbiota as the causative agents for nonalcoholic fatty liver disease</source>, vol. <volume>11</volume>.</citation>
</ref>
<ref id="ref13">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gross</surname> <given-names>B.</given-names></name> <name><surname>Pawlak</surname> <given-names>M.</given-names></name> <name><surname>Lefebvre</surname> <given-names>P.</given-names></name> <name><surname>Staels</surname> <given-names>B.</given-names></name></person-group> (<year>2017</year>). <article-title>PPARs in obesity-induced T2DM, dyslipidaemia and NAFLD</article-title>. <source>Nat. Rev. Endocrinol.</source> <volume>13</volume>, <fpage>36</fpage>&#x2013;<lpage>49</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrendo.2016.135</pub-id>, PMID: <pub-id pub-id-type="pmid">27636730</pub-id></citation>
</ref>
<ref id="ref14">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Henao-Mejia</surname> <given-names>J.</given-names></name> <name><surname>Elinav</surname> <given-names>E.</given-names></name> <name><surname>Jin</surname> <given-names>C.</given-names></name> <name><surname>Hao</surname> <given-names>L.</given-names></name> <name><surname>Mehal</surname> <given-names>W. Z.</given-names></name> <name><surname>Strowig</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2012</year>). <article-title>Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity</article-title>. <source>Nature</source> <volume>482</volume>, <fpage>179</fpage>&#x2013;<lpage>185</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature10809</pub-id>, PMID: <pub-id pub-id-type="pmid">22297845</pub-id></citation>
</ref>
<ref id="ref15">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Higarza</surname> <given-names>S. G.</given-names></name> <name><surname>Arboleya</surname> <given-names>S.</given-names></name> <name><surname>Arias</surname> <given-names>J. L.</given-names></name> <name><surname>Gueimonde</surname> <given-names>M.</given-names></name> <name><surname>Arias</surname> <given-names>N.</given-names></name></person-group> (<year>2021</year>). <article-title>Akkermansia muciniphila and environmental enrichment reverse cognitive impairment associated with high-fat high-cholesterol consumption in rats</article-title>. <source>Gut Microbes</source> <volume>13</volume>:<fpage>13</fpage>. doi: <pub-id pub-id-type="doi">10.1080/19490976.2021.1880240</pub-id></citation>
</ref>
<ref id="ref16">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>J.</given-names></name> <name><surname>Guan</surname> <given-names>B.</given-names></name> <name><surname>Lin</surname> <given-names>L.</given-names></name> <name><surname>Wang</surname> <given-names>Y.</given-names></name></person-group> (<year>2021</year>). <article-title>Improvement of intestinal barrier function, gut microbiota, and metabolic endotoxemia in type 2 diabetes rats by curcumin</article-title>. <source>Bioengineered</source> <volume>12</volume>, <fpage>11947</fpage>&#x2013;<lpage>11958</lpage>. doi: <pub-id pub-id-type="doi">10.1080/21655979.2021.2009322</pub-id>, PMID: <pub-id pub-id-type="pmid">34818970</pub-id></citation>
</ref>
<ref id="ref17">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jiao</surname> <given-names>N.</given-names></name> <name><surname>Baker</surname> <given-names>S. S.</given-names></name> <name><surname>Chapa-Rodriguez</surname> <given-names>A.</given-names></name> <name><surname>Liu</surname> <given-names>W.</given-names></name> <name><surname>Nugent</surname> <given-names>C. A.</given-names></name> <name><surname>Tsompana</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Suppressed hepatic bile acid signalling despite elevated production of primary and secondary bile acids in NAFLD</article-title>. <source>Gut</source> <volume>67</volume>, <fpage>1881</fpage>&#x2013;<lpage>1891</lpage>. doi: <pub-id pub-id-type="doi">10.1136/gutjnl-2017-314307</pub-id>, PMID: <pub-id pub-id-type="pmid">28774887</pub-id></citation>
</ref>
<ref id="ref18">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ju</surname> <given-names>U.-I.</given-names></name> <name><surname>Jeong</surname> <given-names>D.-W.</given-names></name> <name><surname>Seo</surname> <given-names>J.</given-names></name> <name><surname>Park</surname> <given-names>J. B.</given-names></name> <name><surname>Park</surname> <given-names>J. W.</given-names></name> <name><surname>Suh</surname> <given-names>K. S.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Neddylation of sterol regulatory element-binding protein 1c is a potential therapeutic target for nonalcoholic fatty liver treatment</article-title>. <source>Cell Death Dis.</source> <volume>11</volume>:<fpage>283</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41419-020-2472-6</pub-id>, PMID: <pub-id pub-id-type="pmid">32332706</pub-id></citation>
</ref>
<ref id="ref19">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jumpertz</surname> <given-names>R.</given-names></name> <name><surname>le</surname> <given-names>D. S.</given-names></name> <name><surname>Turnbaugh</surname> <given-names>P. J.</given-names></name> <name><surname>Trinidad</surname> <given-names>C.</given-names></name> <name><surname>Bogardus</surname> <given-names>C.</given-names></name> <name><surname>Gordon</surname> <given-names>J. I.</given-names></name> <etal/></person-group>. (<year>2011</year>). <article-title>Energy-balance studies reveal associations between gut microbes, caloric load, and nutrient absorption in humans</article-title>. <source>Am. J. Clin. Nutr.</source> <volume>94</volume>, <fpage>58</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.3945/ajcn.110.010132</pub-id>, PMID: <pub-id pub-id-type="pmid">21543530</pub-id></citation>
</ref>
<ref id="ref20">
<citation citation-type="other"><person-group person-group-type="author"><name><surname>Khan</surname> <given-names>R. S.</given-names></name> <name><surname>Bril</surname> <given-names>F.</given-names></name> <name><surname>Cusi</surname> <given-names>K.</given-names></name> <name><surname>Newsome</surname> <given-names>P. N.</given-names></name></person-group> (<year>2019</year>). <source>Modulation of insulin resistance in nonalcoholic fatty liver disease</source>, vol. <volume>70</volume>, <fpage>711</fpage>&#x2013;<lpage>724</lpage>.</citation>
</ref>
<ref id="ref21">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>Y.</given-names></name> <name><surname>Jee</surname> <given-names>W.</given-names></name> <name><surname>An</surname> <given-names>E.-J.</given-names></name> <name><surname>Ko</surname> <given-names>H. M.</given-names></name> <name><surname>Jung</surname> <given-names>J. H.</given-names></name> <name><surname>Na</surname> <given-names>Y. C.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Timosaponin A3 inhibits palmitate and stearate through suppression of SREBP-1 in pancreatic Cancer</article-title>. <source>Pharmaceutics</source> <volume>14</volume>:<fpage>14</fpage>. doi: <pub-id pub-id-type="doi">10.3390/pharmaceutics14050945</pub-id></citation>
</ref>
<ref id="ref22">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Koh</surname> <given-names>A.</given-names></name> <name><surname>De Vadder</surname> <given-names>F.</given-names></name> <name><surname>Kovatcheva-Datchary</surname> <given-names>P.</given-names></name> <name><surname>B&#x00E4;ckhed</surname> <given-names>F.</given-names></name></person-group> (<year>2016</year>). <article-title>From dietary Fiber to host physiology: short-chain fatty acids as key bacterial metabolites</article-title>. <source>Cell</source> <volume>165</volume>, <fpage>1332</fpage>&#x2013;<lpage>1345</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2016.05.041</pub-id>, PMID: <pub-id pub-id-type="pmid">27259147</pub-id></citation>
</ref>
<ref id="ref23">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Le Roy</surname> <given-names>T.</given-names></name> <name><surname>Llopis</surname> <given-names>M.</given-names></name> <name><surname>Lepage</surname> <given-names>P.</given-names></name> <name><surname>Bruneau</surname> <given-names>A.</given-names></name> <name><surname>Rabot</surname> <given-names>S.</given-names></name> <name><surname>Bevilacqua</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2013</year>). <article-title>Intestinal microbiota determines development of non-alcoholic fatty liver disease in mice</article-title>. <source>Gut</source> <volume>62</volume>, <fpage>1787</fpage>&#x2013;<lpage>1794</lpage>. doi: <pub-id pub-id-type="doi">10.1136/gutjnl-2012-303816</pub-id></citation>
</ref>
<ref id="ref24">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Leung</surname> <given-names>C.</given-names></name> <name><surname>Rivera</surname> <given-names>L.</given-names></name> <name><surname>Furness</surname> <given-names>J. B.</given-names></name> <name><surname>Angus</surname> <given-names>P. W.</given-names></name></person-group> (<year>2016</year>). <article-title>The role of the gut microbiota in NAFLD</article-title>. <source>Nat. Rev. Gastroenterol. Hepatol.</source> <volume>13</volume>, <fpage>412</fpage>&#x2013;<lpage>425</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrgastro.2016.85</pub-id></citation>
</ref>
<ref id="ref25">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Hu</surname> <given-names>Q.</given-names></name></person-group> (<year>2020</year>). <article-title>Effect of sheng-Jiang powder on gut microbiota in high-fat diet-induced NAFLD</article-title>. <source>eCAM</source> <volume>2020</volume>:<fpage>1</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2020/6697638</pub-id>, PMID: <pub-id pub-id-type="pmid">33293992</pub-id></citation>
</ref>
<ref id="ref26">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>C.</given-names></name> <name><surname>Qu</surname> <given-names>Z.</given-names></name> <name><surname>Liu</surname> <given-names>J.</given-names></name> <name><surname>Ruan</surname> <given-names>S.</given-names></name> <name><surname>Chen</surname> <given-names>B.</given-names></name> <name><surname>Ran</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Effect of electroacupuncture on the intestinal microflora in rats with stress urinary incontinence</article-title>. <source>Front. Endocrinol.</source> <volume>13</volume>:<fpage>860100</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fendo.2022.860100</pub-id>, PMID: <pub-id pub-id-type="pmid">35992152</pub-id></citation>
</ref>
<ref id="ref27">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>M.</given-names></name> <name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Deng</surname> <given-names>H.</given-names></name> <name><surname>Li</surname> <given-names>L.</given-names></name> <name><surname>Huang</surname> <given-names>X.</given-names></name> <name><surname>Chen</surname> <given-names>D.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>The damage of the crayfish (Procambarus Clarkii) digestive organs caused by Citrobacter Freundii is associated with the disturbance of intestinal microbiota and disruption of intestinal-liver Axis homeostasis</article-title>. <source>Front. Cell. Infect. Microbiol.</source> <volume>12</volume>:<fpage>940576</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fcimb.2022.940576</pub-id>, PMID: <pub-id pub-id-type="pmid">35865811</pub-id></citation>
</ref>
<ref id="ref28">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name> <name><surname>Kang</surname> <given-names>Y.</given-names></name> <name><surname>Chen</surname> <given-names>D.</given-names></name> <name><surname>Chen</surname> <given-names>G.</given-names></name> <name><surname>Zeng</surname> <given-names>X.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Yeast mannoproteins are expected to be a novel potential functional food for attenuation of obesity and modulation of gut microbiota</article-title>. <source>Front. Nutr.</source> <volume>9</volume>:<fpage>1019344</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnut.2022.1019344</pub-id>, PMID: <pub-id pub-id-type="pmid">36313084</pub-id></citation>
</ref>
<ref id="ref29">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Zhu</surname> <given-names>L.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.-M.</given-names></name> <name><surname>Chen</surname> <given-names>H.</given-names></name> <name><surname>Miao</surname> <given-names>Y. F.</given-names></name> <name><surname>Kang</surname> <given-names>H. X.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Sheng-Jiang powder ameliorates high fat diet induced nonalcoholic fatty liver disease via inhibiting activation of Akt/mTOR/S6 pathway in rats</article-title>. <source>Evid. Based Complement. Alternat. Med.</source> <volume>2018</volume>, <fpage>1</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2018/6190254</pub-id></citation>
</ref>
<ref id="ref30">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lin</surname> <given-names>A.</given-names></name> <name><surname>Roth</surname> <given-names>H.</given-names></name> <name><surname>Anyane-Yeboa</surname> <given-names>A.</given-names></name> <name><surname>Rubin</surname> <given-names>D. T.</given-names></name> <name><surname>Paul</surname> <given-names>S.</given-names></name></person-group> (<year>2021</year>). <article-title>Prevalence of nonalcoholic fatty liver disease in patients with inflammatory bowel disease: a systematic review and meta-analysis</article-title>. <source>Inflamm. Bowel Dis.</source> <volume>27</volume>, <fpage>947</fpage>&#x2013;<lpage>955</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ibd/izaa189</pub-id>, PMID: <pub-id pub-id-type="pmid">32780094</pub-id></citation>
</ref>
<ref id="ref31">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>M.-T.</given-names></name> <name><surname>Huang</surname> <given-names>Y.-J.</given-names></name> <name><surname>Zhang</surname> <given-names>T.-Y.</given-names></name> <name><surname>Tan</surname> <given-names>L.-B.</given-names></name> <name><surname>Lu</surname> <given-names>X.-F.</given-names></name> <name><surname>Qin</surname> <given-names>J.</given-names></name></person-group> (<year>2019</year>). <article-title>Lingguizhugan decoction attenuates diet-induced obesity and hepatosteatosis via gut microbiota</article-title>. <source>World J. Gastroenterol.</source> <volume>25</volume>, <fpage>3590</fpage>&#x2013;<lpage>3606</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v25.i27.3590</pub-id>, PMID: <pub-id pub-id-type="pmid">31367159</pub-id></citation>
</ref>
<ref id="ref32">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Z.</given-names></name> <name><surname>Jiang</surname> <given-names>Z.</given-names></name> <name><surname>Zhang</surname> <given-names>Z.</given-names></name> <name><surname>Liu</surname> <given-names>T.</given-names></name> <name><surname>Fan</surname> <given-names>Y.</given-names></name> <name><surname>Liu</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Bacillus coagulans in combination with Chitooligosaccharides regulates gut microbiota and ameliorates the DSS-induced colitis in mice</article-title>. <source>Microbiol Spectr.</source> <volume>10</volume>:<fpage>e0064122</fpage>. doi: <pub-id pub-id-type="doi">10.1128/spectrum.00641-22</pub-id>, PMID: <pub-id pub-id-type="pmid">35900082</pub-id></citation>
</ref>
<ref id="ref33">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>B.</given-names></name> <name><surname>Zhang</surname> <given-names>J.</given-names></name> <name><surname>Sun</surname> <given-names>P.</given-names></name> <name><surname>Yi</surname> <given-names>R.</given-names></name> <name><surname>Han</surname> <given-names>X.</given-names></name> <name><surname>Zhao</surname> <given-names>X.</given-names></name></person-group> (<year>2019</year>). <article-title>Raw bowl tea (Tuocha) polyphenol prevention of nonalcoholic fatty liver disease by regulating intestinal function in mice</article-title>. <source>Biomol. Ther.</source> <volume>9</volume>:<fpage>9</fpage>. doi: <pub-id pub-id-type="doi">10.3390/biom9090435</pub-id></citation>
</ref>
<ref id="ref34">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Loomba</surname> <given-names>R.</given-names></name> <name><surname>Sanyal</surname> <given-names>A. J.</given-names></name></person-group> (<year>2013</year>). <article-title>The global NAFLD epidemic</article-title>. <source>Nat. Rev. Gastroenterol. Hepatol.</source> <volume>10</volume>, <fpage>686</fpage>&#x2013;<lpage>690</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrgastro.2013.171</pub-id></citation>
</ref>
<ref id="ref35">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miao</surname> <given-names>Y.-F.</given-names></name> <name><surname>Kang</surname> <given-names>H.-X.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Zhang</surname> <given-names>Y. M.</given-names></name> <name><surname>Ren</surname> <given-names>H. Y.</given-names></name> <name><surname>Zhu</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Effect of Sheng-Jiang powder on multiple-organ inflammatory injury in acute pancreatitis in rats fed a high-fat diet</article-title>. <source>World J. Gastroenterol.</source> <volume>25</volume>, <fpage>683</fpage>&#x2013;<lpage>695</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v25.i6.683</pub-id>, PMID: <pub-id pub-id-type="pmid">30783372</pub-id></citation>
</ref>
<ref id="ref36">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miao</surname> <given-names>Y.-F.</given-names></name> <name><surname>Li</surname> <given-names>J.</given-names></name> <name><surname>Zhang</surname> <given-names>Y.-M.</given-names></name> <name><surname>Zhu</surname> <given-names>L.</given-names></name> <name><surname>Chen</surname> <given-names>H.</given-names></name> <name><surname>Yuan</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Sheng-Jiang powder ameliorates obesity-induced pancreatic inflammatory injury via stimulating activation of the AMPK signalling pathway in rats</article-title>. <source>World J. Gastroenterol.</source> <volume>24</volume>, <fpage>4448</fpage>&#x2013;<lpage>4461</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v24.i39.4448</pub-id>, PMID: <pub-id pub-id-type="pmid">30356974</pub-id></citation>
</ref>
<ref id="ref37">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Morrison</surname> <given-names>D. J.</given-names></name> <name><surname>Preston</surname> <given-names>T.</given-names></name></person-group> (<year>2016</year>). <article-title>Formation of short chain fatty acids by the gut microbiota and their impact on human metabolism</article-title>. <source>Gut Microbes</source> <volume>7</volume>, <fpage>189</fpage>&#x2013;<lpage>200</lpage>. doi: <pub-id pub-id-type="doi">10.1080/19490976.2015.1134082</pub-id>, PMID: <pub-id pub-id-type="pmid">26963409</pub-id></citation>
</ref>
<ref id="ref38">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rau</surname> <given-names>M.</given-names></name> <name><surname>Rehman</surname> <given-names>A.</given-names></name> <name><surname>Dittrich</surname> <given-names>M.</given-names></name> <name><surname>Groen</surname> <given-names>A. K.</given-names></name> <name><surname>Hermanns</surname> <given-names>H. M.</given-names></name> <name><surname>Seyfried</surname> <given-names>F.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Fecal SCFAs and SCFA-producing bacteria in gut microbiome of human NAFLD as a putative link to systemic T-cell activation and advanced disease</article-title>. <source>United European Gastroenterol J</source> <volume>6</volume>, <fpage>1496</fpage>&#x2013;<lpage>1507</lpage>. doi: <pub-id pub-id-type="doi">10.1177/2050640618804444</pub-id>, PMID: <pub-id pub-id-type="pmid">30574320</pub-id></citation>
</ref>
<ref id="ref39">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ryyti</surname> <given-names>R.</given-names></name> <name><surname>Pemmari</surname> <given-names>A.</given-names></name> <name><surname>Peltola</surname> <given-names>R.</given-names></name> <name><surname>H&#x00E4;m&#x00E4;l&#x00E4;inen</surname> <given-names>M.</given-names></name> <name><surname>Moilanen</surname> <given-names>E.</given-names></name></person-group> (<year>2021</year>). <article-title>Effects of lingonberry (Vaccinium vitis-idaea L.) supplementation on hepatic gene expression in high-fat diet fed mice</article-title>. <source>Nutrients</source> <volume>13</volume>:<fpage>13</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu13113693</pub-id></citation>
</ref>
<ref id="ref40">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Safari</surname> <given-names>Z.</given-names></name> <name><surname>G&#x00E9;rard</surname> <given-names>P.</given-names></name></person-group> (<year>2019</year>). <article-title>The links between the gut microbiome and non-alcoholic fatty liver disease (NAFLD)</article-title>. <source>Cell. Mol. Life Sci.</source> <volume>76</volume>, <fpage>1541</fpage>&#x2013;<lpage>1558</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00018-019-03011-w</pub-id></citation>
</ref>
<ref id="ref41">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sohrabi</surname> <given-names>Y.</given-names></name> <name><surname>Sonntag</surname> <given-names>G. V. H.</given-names></name> <name><surname>Braun</surname> <given-names>L. C.</given-names></name> <name><surname>Lagache</surname> <given-names>S. M. M.</given-names></name> <name><surname>Liebmann</surname> <given-names>M.</given-names></name> <name><surname>Klotz</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>LXR activation induces a Proinflammatory trained innate immunity-phenotype in human monocytes</article-title>. <source>Front. Immunol.</source> <volume>11</volume>:<fpage>353</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2020.00353</pub-id>, PMID: <pub-id pub-id-type="pmid">32210962</pub-id></citation>
</ref>
<ref id="ref42">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname> <given-names>W.</given-names></name> <name><surname>Yao</surname> <given-names>X.</given-names></name> <name><surname>Xia</surname> <given-names>F.</given-names></name> <name><surname>Yang</surname> <given-names>M.</given-names></name> <name><surname>Chen</surname> <given-names>Z.</given-names></name> <name><surname>Zhou</surname> <given-names>B.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Modulation of the gut microbiota in rats by Hugan Qingzhi tablets during the treatment of high-fat-diet-induced nonalcoholic fatty liver disease</article-title>. <source>Oxidative Med. Cell. Longev.</source> <volume>2018</volume>, <fpage>1</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2018/7261619</pub-id></citation>
</ref>
<ref id="ref43">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wirtz</surname> <given-names>S.</given-names></name> <name><surname>Neufert</surname> <given-names>C.</given-names></name> <name><surname>Weigmann</surname> <given-names>B.</given-names></name> <name><surname>Neurath</surname> <given-names>M. F.</given-names></name></person-group> (<year>2007</year>). <article-title>Chemically induced mouse models of intestinal inflammation</article-title>. <source>Nat. Protoc.</source> <volume>2</volume>, <fpage>541</fpage>&#x2013;<lpage>546</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nprot.2007.41</pub-id></citation>
</ref>
<ref id="ref44">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>K.</given-names></name> <name><surname>Zhao</surname> <given-names>T.</given-names></name> <name><surname>Hogstrand</surname> <given-names>C.</given-names></name> <name><surname>Xu</surname> <given-names>Y. C.</given-names></name> <name><surname>Ling</surname> <given-names>S. C.</given-names></name> <name><surname>Chen</surname> <given-names>G. H.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>FXR-mediated inhibition of autophagy contributes to FA-induced TG accumulation and accordingly reduces FA-induced lipotoxicity</article-title>. <source>Cell Commun. Signal</source> <volume>18</volume>:<fpage>47</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12964-020-0525-1</pub-id>, PMID: <pub-id pub-id-type="pmid">32192487</pub-id></citation>
</ref>
<ref id="ref45">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yamamoto</surname> <given-names>T.</given-names></name> <name><surname>Nakade</surname> <given-names>Y.</given-names></name> <name><surname>Yamauchi</surname> <given-names>T.</given-names></name> <name><surname>Kobayashi</surname> <given-names>Y.</given-names></name> <name><surname>Ishii</surname> <given-names>N.</given-names></name> <name><surname>Ohashi</surname> <given-names>T.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Glucagon-like peptide-1 analogue prevents nonalcoholic steatohepatitis in non-obese mice</article-title>. <source>World J. Gastroenterol.</source> <volume>22</volume>, <fpage>2512</fpage>&#x2013;<lpage>2523</lpage>. doi: <pub-id pub-id-type="doi">10.3748/wjg.v22.i8.2512</pub-id>, PMID: <pub-id pub-id-type="pmid">26937139</pub-id></citation>
</ref>
<ref id="ref46">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yan</surname> <given-names>X.</given-names></name> <name><surname>Feng</surname> <given-names>Y.</given-names></name> <name><surname>Hao</surname> <given-names>Y.</given-names></name> <name><surname>Zhong</surname> <given-names>R.</given-names></name> <name><surname>Jiang</surname> <given-names>Y.</given-names></name> <name><surname>Tang</surname> <given-names>X.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Gut-testis axis: microbiota prime metabolome to increase sperm quality in young type 2 diabetes</article-title>. <source>Microbiol Spectr.</source> <volume>10</volume>:<fpage>e0142322</fpage>. doi: <pub-id pub-id-type="doi">10.1128/spectrum.01423-22</pub-id>, PMID: <pub-id pub-id-type="pmid">36214691</pub-id></citation>
</ref>
<ref id="ref47">
<citation citation-type="other"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>J.</given-names></name> <name><surname>Fern&#x00E1;ndez-Galilea</surname> <given-names>M.</given-names></name> <name><surname>Mart&#x00ED;nez-Fern&#x00E1;ndez</surname> <given-names>L.</given-names></name> <name><surname>Gonz&#x00E1;lez-Muniesa</surname> <given-names>P.</given-names></name></person-group> (<year>2019</year>). <source>Oxidative stress and non-alcoholic fatty liver disease: Effects of Omega-3 fatty acid supplementation</source>, vol. <volume>11</volume>.</citation>
</ref>
<ref id="ref48">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname> <given-names>S.</given-names></name> <name><surname>Matsusue</surname> <given-names>K.</given-names></name> <name><surname>Kashireddy</surname> <given-names>P.</given-names></name> <name><surname>Cao</surname> <given-names>W. Q.</given-names></name> <name><surname>Yeldandi</surname> <given-names>V.</given-names></name> <name><surname>Yeldandi</surname> <given-names>A. V.</given-names></name> <etal/></person-group>. (<year>2003</year>). <article-title>Adipocyte-specific gene expression and adipogenic steatosis in the mouse liver due to peroxisome proliferator-activated receptor gamma1 (PPARgamma1) overexpression</article-title>. <source>J. Biol. Chem.</source> <volume>278</volume>, <fpage>498</fpage>&#x2013;<lpage>505</lpage>. doi: <pub-id pub-id-type="doi">10.1074/jbc.M210062200</pub-id>, PMID: <pub-id pub-id-type="pmid">12401792</pub-id></citation>
</ref>
<ref id="ref49">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>T.</given-names></name> <name><surname>Li</surname> <given-names>Q.</given-names></name> <name><surname>Cheng</surname> <given-names>L.</given-names></name> <name><surname>Buch</surname> <given-names>H.</given-names></name> <name><surname>Zhang</surname> <given-names>F.</given-names></name></person-group> (<year>2019</year>). <article-title>Akkermansia muciniphila is a promising probiotic</article-title>. <source>Microb. Biotechnol.</source> <volume>12</volume>, <fpage>1109</fpage>&#x2013;<lpage>1125</lpage>. doi: <pub-id pub-id-type="doi">10.1111/1751-7915.13410</pub-id>, PMID: <pub-id pub-id-type="pmid">31006995</pub-id></citation>
</ref>
<ref id="ref50">
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname> <given-names>Z.</given-names></name> <name><surname>Lyu</surname> <given-names>W.</given-names></name> <name><surname>Ren</surname> <given-names>Y.</given-names></name> <name><surname>Li</surname> <given-names>X.</given-names></name> <name><surname>Zhao</surname> <given-names>S.</given-names></name> <name><surname>Yang</surname> <given-names>H.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>Allobaculum involves in the modulation of intestinal ANGPTLT4 expression in mice treated by high-fat diet</article-title>. <source>Front. Nutr.</source> <volume>8</volume>:<fpage>690138</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnut.2021.690138</pub-id>, PMID: <pub-id pub-id-type="pmid">34095196</pub-id></citation>
</ref>
</ref-list>
<glossary>
<def-list>
<title>Glossary</title>
<def-item><term>ALT</term><def><p>alanine aminotransferase</p></def></def-item>
<def-item><term>AST</term><def><p>aspartate aminotransferase</p></def></def-item>
<def-item><term>CDAHFD</term><def><p>choline-deficient, L-amino acid-defined high-fat diet</p></def></def-item>
<def-item><term>FASN</term><def><p>fatty acid synthase</p></def></def-item>
<def-item><term>H&#x0026;E</term><def><p>haematoxylin-eosin staining</p></def></def-item>
<def-item><term>Lxr</term><def><p>liver X receptor</p></def></def-item>
<def-item><term>NAFLD</term><def><p>nonalcoholic fatty liver</p></def></def-item>
<def-item><term>NASH</term><def><p>non-alcoholic steatohepatitis</p></def></def-item>
<def-item><term>SCFAs</term><def><p>short-chain fatty acids</p></def></def-item>
<def-item><term>SFL</term><def><p>simple fatty liver</p></def></def-item>
<def-item><term>SJP</term><def><p>Sheng-Jiang Powder</p></def></def-item>
<def-item><term>Srebp1c</term><def><p>sterol regulatory element binding protein 1C</p></def></def-item>
<def-item><term>TC</term><def><p>total cholesterol</p></def></def-item>
<def-item><term>TCM</term><def><p>Traditional Chinese medicine</p></def></def-item>
<def-item><term>TG</term><def><p>triglyceride</p></def></def-item>
<def-item><term>Ppar&#x03B3;</term><def><p>peroxisome proliferator activated receptor &#x03B3;</p></def></def-item>
</def-list>
</glossary>
</back>
</article>