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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2021.746601</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>Oral Administration of <italic>Latilactobacillus sakei</italic> ADM14 Improves Lipid Metabolism and Fecal Microbiota Profile Associated With Metabolic Dysfunction in a High-Fat Diet Mouse Model</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Won</surname>
<given-names>Sung-Min</given-names>
</name>
<xref rid="fn1" ref-type="author-notes"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Seo</surname>
<given-names>Min Ju</given-names>
</name>
<xref rid="fn1" ref-type="author-notes"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kwon</surname>
<given-names>Min Ju</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Park</surname>
<given-names>Kye Won</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yoon</surname>
<given-names>Jung-Hoon</given-names>
</name>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/152489/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Food Science and Biotechnology, Sungkyunkwan University</institution>, <addr-line>Suwon</addr-line>, <country>South Korea</country></aff>
<author-notes>
<fn id="fn2" fn-type="edited-by"><p>Edited by: Sabina G&#x00F3;rska, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences (PAN), Poland</p></fn>
<fn id="fn3" fn-type="edited-by"><p>Reviewed by: Filippo Rossi, Catholic University of the Sacred Heart, Italy; Aleksandr G. Bulaev, Federal Center Research Fundamentals of Biotechnology, Russian Academy of Sciences (RAS), Russia</p></fn>
<corresp id="c001">&#x002A;Correspondence: Jung-Hoon Yoon, <email>jhyoon69@skku.edu</email></corresp>
<fn id="fn1" fn-type="equal"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn id="fn4" fn-type="other"><p>This article was submitted to Food Microbiology, a section of the journal Frontiers in Microbiology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>746601</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Won, Seo, Kwon, Park and Yoon.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Won, Seo, Kwon, Park and Yoon</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Effects of <italic>Latilactobacillus sakei</italic> ADM14 on changes in lipid metabolism and fecal microbiota composition were studied in high-fat diet (HFD) mouse model. The mice were divided into three groups: normal diet (ND), high-fat diet (HD), and HFD plus <italic>L. sakei</italic> ADM14 (HDA). Oral administration of <italic>L. sakei</italic> ADM14 daily for 10weeks decreased body weight gain, fat tissue mass, and liver weight in mice and reduced the size of histologically stained liver adipocytes. In addition, serum total cholesterol, triglycerides, and blood glucose decreased significantly. <italic>Latilactobacillus sakei</italic> ADM14 regulated the expression of genes related to lipid metabolism in epididymal adipose tissue and liver and induced changes in the composition of fecal microbiota, thereby improving energy harvests and changing metabolic disorder-related taxa. A significant decrease (<italic>p</italic>&#x003C;0.05) in the <italic>Firmicutes</italic> to <italic>Bacteroidetes</italic> ratio was found in the HDA group compared to the HD group, particularly due to the difference in the relative abundance of the <italic>Bacteroidetes</italic> between the two groups over 10weeks. Differences in proportions of some taxa reported to have correlation with obesity were also found between HD and HDA groups. These results suggest that <italic>L. sakei</italic> ADM14 can have a positive effect on metabolic disorders such as obesity and fatty liver through effective regulation of host lipid metabolism and gut microbiota.</p>
</abstract>
<kwd-group>
<kwd><italic>Latilactobacillus sakei</italic></kwd>
<kwd>probiotics</kwd>
<kwd>obesity</kwd>
<kwd>lipid metabolism</kwd>
<kwd>microbiome</kwd>
</kwd-group>
<contract-sponsor id="cn1">Cooperative Research Program for Agriculture Science and Technology Development</contract-sponsor>
<contract-sponsor id="cn2">ral Development Administration, Republic of Korea</contract-sponsor>
<contract-sponsor id="cn3">Research Initiative Program of Sungkyunkwan University, Republic of Korea</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="11"/>
<word-count count="7182"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec1" sec-type="intro">
<title>Introduction</title>
<p>Obesity has emerged as an important health problem through a rapid increase in incidence worldwide. Excessive body weight gain and body fat accumulation pose a serious threat, leading to the onset of obesity and metabolic disorders such as diabetes and cardiovascular disease (<xref ref-type="bibr" rid="ref2">Bastien et al., 2014</xref>). A high-fat diet (HFD) affects elevated serum cholesterol and triglycerides (TG) and increases the risk of chronic low-grade inflammation from obesity, along with adipose tissue enlargement (<xref ref-type="bibr" rid="ref10">Dewulf et al., 2011</xref>). The influence of metabolic disorders in combination with the HFD can also damage the liver. Recently, the association and risk of obesity with nonalcoholic fatty liver disease (NAFLD) has received a lot of attention. NAFLD includes a variety of symptoms ranging from simple steatosis to nonalcoholic fatty hepatitis, cirrhosis, or hepatocellular carcinoma (<xref ref-type="bibr" rid="ref40">Wong et al., 2015</xref>), and more than 80% of obese individuals in western countries are affected by NAFLD (<xref ref-type="bibr" rid="ref45">Younossi, 2019</xref>). Recently, several studies have focused on gut microbiota as a new environmental factor contributing to the relationship between obesity and NAFLD (<xref ref-type="bibr" rid="ref20">Le Roy et al., 2013</xref>; <xref ref-type="bibr" rid="ref34">Tilg et al., 2016</xref>; <xref ref-type="bibr" rid="ref8">Da Silva et al., 2018</xref>). The gut microbial community consists of thousands of bacterial species, coexisting with the host, and has a significant influence on the physiology and metabolism of the host (<xref ref-type="bibr" rid="ref35">Turnbaugh et al., 2006</xref>; <xref ref-type="bibr" rid="ref25">Ridaura et al., 2013</xref>). Recently, a link between the effects of choline deficiency on fatty liver development and changes in the human gut microbiota was confirmed (<xref ref-type="bibr" rid="ref31">Spencer et al., 2012</xref>), and it was revealed that changes in the gut microbiota regulate the progression of NAFLD (<xref ref-type="bibr" rid="ref4">Buzzetti et al., 2016</xref>). Thus, the regulation of gut microbial communities may suggest new therapeutic strategies in the management of metabolic diseases such as obesity and NAFLD. Probiotics regulate the gut microbiome and have proven beneficial effects on metabolic symptoms. They are also known to be effective in improving lipid profiles and hyperlipidemia, while affecting lipid metabolism (<xref ref-type="bibr" rid="ref26">Roller et al., 2004</xref>; <xref ref-type="bibr" rid="ref32">Sun and Buys, 2015</xref>).</p>
<p>In our previous study, a lactic acid bacterium, designated ADM14, was found to have anti-adipogenic effect by reducing significantly intracellular triglyceride content on 3T3-L1 adipocytes and by decreasing the expression of five adipogenic marker genes (<xref ref-type="bibr" rid="ref39">Won et al., 2020a</xref>). The strain ADM14 was identified as a member of <italic>Lactobacillus sakei</italic> in the study of <xref ref-type="bibr" rid="ref39">Won et al. (2020a)</xref>, but <italic>L. sakei</italic> has been recently reclassified as <italic>L. sakei</italic> (<xref ref-type="bibr" rid="ref46">Zheng et al., 2020</xref>). The aim of this study was to investigate the effect of <italic>L. sakei</italic> ADM14 on host lipid metabolism, fatty liver, and metabolic problems in HFD mouse model. In addition, changes in gut microbiota structure on the host were analyzed through fecal microbiome analysis the relationship between the gut-liver axis was evaluated.</p>
</sec>
<sec id="sec2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="sec3">
<title>Bacterial Strain Preparation and Growth Conditions</title>
<p><italic>Latilactobacillus sakei</italic> (<italic>L. sakei</italic>) ADM14 was cultured using De Man-Rogosa-Sharpe (MRS, BD Difco, Sparks, MD, United States) agar at 30&#x00B0;C for 24h and was stored at &#x2212;80&#x00B0;C in 20% glycerol (v/v; Georgiachem, GA, United States) for cryopreservation until it was used in experiments.</p>
</sec>
<sec id="sec4">
<title>Animals, Diets, and Experimental Design</title>
<p>The animal care and studies were conducted in accordance with the Animal Care and Use Committee of the College of Biotechnology at Sungkyunkwan University (approval date: 07-09-2019, approval number: SKKUIACUC-18-04-14-3). Male C57BL/6J mice aged 5weeks were purchased from RaonBio Inc. (Yongin, Republic of Korea) and maintained under controlled temperature and humidity (24&#x00B1;2&#x00B0;C, 50&#x00B1;10%) with a 12h light/dark cycle. After a 1-week acclimation period, 6-week-old mice were randomly divided into three groups (<italic>n</italic>=8): normal diet (ND), high-fat diet (HD), and high-fat diet plus <italic>L. sakei</italic> ADM14 (HDA, 10<sup>8</sup>&#x2013;10<sup>9</sup>CFU per 200&#x03BC;l 0.85% saline). The ND group received a normal chow diet (10% of energy from fat, 16.1kJ, RaonBio Inc.) for 10weeks and the HD group received a HFD (60% of energy from fat, 21.9kJ, RaonBio Inc.) for 10weeks (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). The HDA group received a HFD for 10weeks and <italic>L. sakei</italic> ADM14 by daily oral administration. Food and water were fed <italic>ad libitum</italic>. Live <italic>L. sakei</italic> ADM14 was administered by oral gavage at a concentration of 10<sup>8</sup>&#x2013;10<sup>9</sup>CFU per 200&#x03BC;l 0.85% saline daily as recommended by the WHO and the Korea Food and Drug Administration. During the experiment, food intake and body weight were measured weekly. Fecal samples were collected weekly and stored at &#x2212;80&#x00B0;C. The food efficiency ratio (FER) was expressed as total body weight gained from the diet divided by total diet consumed during the animal experiments, and total calorie intake was calculated as the total amount of diet consumed during the animal experiment multiplied by the caloric value of the diet. The mice that died during the experiment of 10weeks were excluded, and the mice with the maximum and minimum values in weight were also excluded. Finally, 4&#x2013;6 mice per group were used in further analyses. At the end of the experiment, mice were fasted for 16h and sacrificed under anesthesia. After sacrifice, visceral organs (liver, spleen, and kidney) and epididymal and subcutaneous fat pad were collected and weighed. Epididymal fat pads and liver were preserved by freezing in liquid nitrogen for genetic analysis. A portion of the liver was frozen and stained with Oil Red O (Sigma-Aldrich, St. Louis, MO, United States) for histological study. Blood was collected <italic>via</italic> cardiac puncture and was centrifuged for 10min at 3,000rpm for serum separation.</p>
</sec>
<sec id="sec5">
<title>Serum Analysis</title>
<p>Alanine transaminase (ALT), aspartate transaminase (AST), total cholesterol, glucose, triglyceride (TG), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels were measured using a biochemical automatic analyzer (AU480, Beckman Coulter Inc., Brea, CA, United States) according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="sec6">
<title>RNA Extraction and Quantitative Real-Time PCR</title>
<p>Total RNA was extracted from epididymal fat tissue and liver using an RNeasy Mini Kit (Qiagen, Hilden, Germany) and TRIzol (Invitrogen, Carlsbad, CA, United States) according to the manufacturer&#x2019;s protocol. First-strand complementary DNA was synthesized using a Veriti&#x2122; 96-Well Thermal Cycler machine (Thermo Scientific, Waltham, MA, United States) by mixing the extracted total RNA and ReverTra Ace Master Mix (Toyobo, Osaka, Japan). A mixture of Power SYBR Premix ExTaq (RP041A; Takara, Shiga, Japan), primers and cDNA was used for amplification using a thermal cycler machine (Takara). Gene expression was normalized by a housekeeping gene, <italic>36B4</italic>. The primer sequences for the genes are shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>.</p>
</sec>
<sec id="sec7">
<title>16S rRNA Gene Sequence Analysis of Gut Microbiota and Bioinformatics</title>
<p>For microbiome analysis, total genomic DNA was extracted from fecal samples using a QIAamp DNA Stool Mini Kit (Qiagen) according to the manufacturer&#x2019;s protocol. The first amplification from the total genomic DNA was performed in the V3 to V4 regions with primer sequences of 16S rRNA gene as shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref> (<xref ref-type="bibr" rid="ref12">Fadrosh et al., 2014</xref>). A second amplification was performed by attaching an Illumina NexTera barcode to the first amplification product. Sequencing was performed according to the method of Chunlab Inc. (Seoul, Republic of Korea) using an Illumina MiSeq sequencing system (Illumina, San Diego, CA, United States). Taxonomic profiling and sequencing data analysis were performed using the Illumina platform (Chunlab Inc.). Alpha diversity was calculated using OTU information and expressed as the Chao 1 and Shannon index. The microbiota structure between groups was measured to principal coordinate analysis (PCoA) at the genus level using the beta diversity index. The linear discriminant analysis effect size (LEfSe) method was performed using latent Dirichlet allocation (LDA) score 3.0 cutoff and value of <italic>p</italic>&#x003C;0.05.</p>
</sec>
<sec id="sec8">
<title>Statistical Analysis</title>
<p>Statistical analyses were conducted using SPSS ver. 19.0 (SPSS Inc., Chicago, IL, United States). Data are presented as mean&#x00B1;SEM. Significant differences in the gene expression of tissue between animal experimental groups were determined by unpaired Student&#x2019;s <italic>t</italic>-test. For relative abundance analysis of the gut microbiome, significant differences between groups were determined using the Wilcoxon rank-sum test. Values were considered statistically significant when <italic>p</italic>&#x003C;0.05.</p>
</sec>
</sec>
<sec id="sec9" sec-type="results">
<title>Results</title>
<sec id="sec10">
<title>Effects of <italic>L. sakei</italic> ADM14 on Body, Liver, and Fat Tissue Weight</title>
<p>Changes in weight between the groups of mice were observed for 10weeks. The weight of group fed the HFD increased more rapidly (<xref rid="fig1" ref-type="fig">Figure 1A</xref>). After 10weeks, the average weight gains in the ND, HD, and HDA groups were 6.31&#x00B1;0.56, 15.03&#x00B1;1.25, and 11.30&#x00B1;1.01g, respectively. Compared with the HD group, the weight gain of the HDA group decreased significantly by 24.7% (<italic>p</italic>&#x003C;0.05). While the total caloric intake was significantly different (ND vs. HD, <italic>p</italic>&#x003C;0.01; ND vs. HDA, <italic>p</italic>&#x003C;0.05) between the ND and HFD intake groups, there was no significant difference between the HD and HDA groups (<xref rid="fig1" ref-type="fig">Figure 1B</xref>). The FER increased significantly (<italic>p</italic>&#x003C;0.01) in HD compared to ND, but there was no significant difference despite a 12.9% decrease in HDA compared to HD (<xref rid="fig1" ref-type="fig">Figure 1C</xref>). No significant weight changes were observed in the kidneys and spleen, of each group (<xref rid="fig1" ref-type="fig">Figure 1D</xref>). There was a significant increase (<italic>p</italic>&#x003C;0.01) in the mass of epididymal fat and subcutaneous fat in HD compared to ND (<xref rid="fig1" ref-type="fig">Figure 1D</xref>). In contrast, there was a significant decrease of 44.5% in epididymal fat (<italic>p</italic>&#x003C;0.01) and 33.8% in subcutaneous fat (<italic>p</italic>&#x003C;0.05) in HDA compared to HD (<xref rid="fig1" ref-type="fig">Figure 1D</xref>). The liver weight was not significantly different between ND and HD, but a significant decrease (<italic>p</italic>&#x003C;0.05) was observed in HDA compared to HD (<xref rid="fig1" ref-type="fig">Figure 1D</xref>). In the histological analysis of the liver using Oil Red O staining, it was observed that the size of stained adipocytes decreased in HDA compared to HD (<xref rid="fig1" ref-type="fig">Figure 1E</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Effect of administering <italic>Lactobacillus sakei</italic> ADM14 on body indicators in high-fat diet (HFD) mouse model. <bold>(A)</bold> Weight change of mice groups. <bold>(B)</bold> Total caloric intake for 10weeks. <bold>(C)</bold> Food efficiency ratio (FER) for 10weeks. <bold>(D)</bold> Organs weights of mice after sacrifice. <bold>(E)</bold> Histological analysis of liver stained with Oil Red O. ND, normal diet group; HD, high-fat diet group; and HDA, high-fat diet plus <italic>L. sakei</italic> ADM14 group. The results are shown as mean&#x00B1;SEM (<italic>n</italic>=5&#x2013;7). Significant differences between HD and ND are indicated as <sup>#</sup><italic>p</italic>&#x003C;0.05 and <sup>##</sup><italic>p</italic>&#x003C;0.01. Significant differences between HDA and ND are indicated as <sup>#</sup><italic>p</italic>&#x003C;0.05 and <sup>##</sup><italic>p</italic>&#x003C;0.01. Significant differences between HD and HDA are indicated as <sup>&#x002A;</sup><italic>p</italic>&#x003C;0.05 and <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x003C;0.01.</p></caption>
<graphic xlink:href="fmicb-12-746601-g001.tif"/>
</fig>
</sec>
<sec id="sec11">
<title>Effects of <italic>L. sakei</italic> ADM14 on Serum Biochemical Parameters</title>
<p>The concentrations of total cholesterol, glucose, TG, and HDL of the serum in the HD group were significantly (<italic>p</italic>&#x003C;0.01) higher than those of the ND group (<xref rid="tab1" ref-type="table">Table 1</xref>). Compared with the HD group, total cholesterol, glucose, and TG of the serum decreased in the HDA group administered with <italic>L. sakei</italic> ADM14 (<xref rid="tab1" ref-type="table">Table 1</xref>). Total cholesterol decreased by 17.0% (<italic>p</italic>&#x003C;0.05), glucose decreased by 29.9% (p&#x003C;0.05), and TG decreased by 34.2% (<italic>p</italic>&#x003C;0.01). Compared to the HD group, the HDA group showed a significant increase (p&#x003C;0.05) in HDL, and the LDL decreased by 9.0% but there was no significant difference between them. ALT and AST were analyzed and there was no significant difference among the groups (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Biochemical parameter of serum.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top"/>
<th align="left" valign="top">ND</th>
<th align="left" valign="top">HD</th>
<th align="left" valign="top">HDA</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Total cholesterol</td>
<td align="center" valign="middle">105.00&#x00B1;3.67</td>
<td align="center" valign="middle">185.25&#x00B1;11.12<xref rid="tfn2" ref-type="table-fn"><sup>##</sup></xref></td>
<td align="center" valign="middle">153.75&#x00B1;6.41<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">Glucose</td>
<td align="center" valign="middle">70.75&#x00B1;3.33</td>
<td align="center" valign="middle">162.75&#x00B1;7.39<xref rid="tfn2" ref-type="table-fn"><sup>##</sup></xref></td>
<td align="center" valign="middle">114.00&#x00B1;15.64<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">TG</td>
<td align="center" valign="middle">61.00&#x00B1;1.87</td>
<td align="center" valign="middle">86.25&#x00B1;4.96<xref rid="tfn2" ref-type="table-fn"><sup>##</sup></xref></td>
<td align="center" valign="middle">56.75&#x00B1;2.53<xref rid="tfn4" ref-type="table-fn"><sup>&#x002A;&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">HDL</td>
<td align="center" valign="middle">83.25&#x00B1;1.89</td>
<td align="center" valign="middle">101.25&#x00B1;1.89<xref rid="tfn2" ref-type="table-fn"><sup>##</sup></xref></td>
<td align="center" valign="middle">110.25&#x00B1;3.09<xref rid="tfn3" ref-type="table-fn"><sup>&#x002A;</sup></xref></td>
</tr>
<tr>
<td align="left" valign="middle">LDL</td>
<td align="center" valign="middle">21.75&#x00B1;1.44</td>
<td align="center" valign="middle">24.75&#x00B1;0.75</td>
<td align="center" valign="middle">22.50&#x00B1;0.87</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Values are shown as the means&#x00B1;SEM (<italic>n</italic>=4&#x2013;5). Significant differences between HD and ND are indicated as follow:</p>
<fn id="tfn2">
<label>##</label><p><italic>p</italic>&#x003C;0.01.</p></fn> <p>Significant differences between HD and HDA are indicated as follow:</p>
<fn id="tfn3">
<label>&#x002A;</label><p><italic>p</italic>&#x003C;0.05;</p></fn>
<fn id="tfn4">
<label>&#x002A;&#x002A;</label><p><italic>p</italic>&#x003C;0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec12">
<title>Effects of <italic>L. sakei</italic> ADM14 on Genes of Lipid Metabolism in Epididymal Fat Tissue and Liver</title>
<p>The results for the mRNA expression of genes for lipid metabolism in epididymal fat tissue are shown in <xref rid="fig2" ref-type="fig">Figure 2</xref>. The expressions of genes related to lipid metabolism in epididymal fat tissue of HD group increased when compared to the ND group (<xref rid="fig2" ref-type="fig">Figure 2</xref>). Compared to the HD group, the HDA group administered with <italic>L. sakei</italic> ADM14 significantly downregulated (<italic>p</italic>&#x003C;0.01) peroxisome proliferator-activated receptor gamma (<italic>Ppar&#x03B3;</italic>), sterol regulatory element-binding protein-1C (<italic>Srebp1C</italic>), and fatty acid synthetase (<italic>Fas</italic>), of four genes related to fatty acid synthesis (<xref rid="fig2" ref-type="fig">Figure 2B</xref>). In addition, the expression of adipocyte protein 2 (<italic>aP2</italic>) was also significantly decreased (<italic>p</italic>&#x003C;0.01) in the HDA compared to the HD (<xref rid="fig2" ref-type="fig">Figure 2A</xref>). Likewise, the expressions of <italic>Ppar&#x03B3;</italic>-activated genes, lipoprotein-lipase (<italic>Lpl</italic>), and cluster of differentiation 36 (<italic>CD36</italic>) were significantly decreased (<italic>p</italic>&#x003C;0.05) in the HDA compared to the HD (<xref rid="fig2" ref-type="fig">Figure 2A</xref>). The expressions of tumor necrosis factor-alpha (<italic>TNF&#x03B1;</italic>; <italic>p</italic>&#x003C;0.01), interleukin 6 (<italic>IL-6</italic>; <italic>p</italic>&#x003C;0.01), and monocyte chemoattractant protein-1 (<italic>MCP-1</italic>; <italic>p</italic>&#x003C;0.05) related to pro-inflammatory cytokines in the HDA were significantly decreased compared to the HD group (<xref rid="fig2" ref-type="fig">Figure 2C</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Effects of administering <italic>L. sakei</italic> ADM14 on the transcription of genes related to lipid metabolism in epididymal fat tissue. The results are shown as mean&#x00B1;SEM (<italic>n</italic>=5). Significant differences between HD and ND are indicated as <sup>#</sup><italic>p</italic>&#x003C;0.05 and <sup>##</sup><italic>p</italic>&#x003C;0.01. Significant differences between HDA and ND are indicated as <sup>#</sup><italic>p</italic>&#x003C;0.05 and <sup>##</sup><italic>p</italic>&#x003C;0.01. Significant differences between HD and HDA are indicated as <sup>&#x002A;</sup><italic>p</italic>&#x003C;0.05 and <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x003C;0.01.</p></caption>
<graphic xlink:href="fmicb-12-746601-g002.tif"/>
</fig>
<p>To investigate the effect of <italic>L. sakei</italic> ADM14 on lipid metabolism in the liver, expression of overall related genes was investigated (<xref rid="fig3" ref-type="fig">Figure 3</xref>). There were also differences in the expressions of genes related to lipid metabolism in the liver between ND and HDA groups (<xref rid="fig3" ref-type="fig">Figure 3</xref>). Compared with HD, the lipid production-related genes, <italic>Ppar&#x03B3;</italic> (<italic>p</italic>&#x003C;0.05), <italic>Srebp1C</italic> (<italic>p</italic>&#x003C;0.01), <italic>Fas</italic> (<italic>p</italic>&#x003C;0.05), and acetyl-CoA carboxylase 1 (<italic>Acc1</italic>; <italic>p</italic>&#x003C;0.05), were significantly decreased in HDA (<xref rid="fig3" ref-type="fig">Figure 3D</xref>). In addition, the significantly increased expressions (<italic>p</italic>&#x003C;0.05) of &#x03B2;-oxidation-related genes, carnitine palmitoyltransferase1 alpha (<italic>Cpt1&#x03B1;</italic>) and peroxisome proliferator-activated receptor alpha (<italic>Ppar&#x03B1;</italic>), were found in HDA (<xref rid="fig3" ref-type="fig">Figure 3B</xref>). Carbohydrate-response element-binding proteins, <italic>ChREBP&#x03B1;</italic> (<italic>p</italic>&#x003C;0.01) and <italic>ChREBP&#x03B2;</italic> (<italic>p</italic>&#x003C;0.05), which are major transcriptional regulatory factors that are activated by glucose catabolism in the liver and regulates lipogenesis, were observed to be significantly downregulated in HDA (<xref rid="fig3" ref-type="fig">Figure 3A</xref>). There was no significant change in the level of <italic>Lpl</italic> expression, but <italic>CD36</italic> expression showed a significant decrease (<italic>p</italic>&#x003C;0.05) in HDA (<xref rid="fig3" ref-type="fig">Figure 3C</xref>). As a result of observing the expression of diglyceride acyltransferase (<italic>Dgat</italic>) that catalyzes TG formation, it was found that both <italic>Dgat1</italic> (<italic>p</italic>&#x003C;0.05) and <italic>Dgat2</italic> (<italic>p</italic>&#x003C;0.01) were significantly decreased (<xref rid="fig3" ref-type="fig">Figure 3E</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Effects of administered <italic>L. sakei</italic> ADM14 on the transcription of genes related to glucose and lipid metabolism in the liver. The results are shown as mean&#x00B1;SEM (<italic>n</italic>=5). Significant differences between HD and ND are indicated as <sup>#</sup><italic>p</italic>&#x003C;0.05 and <sup>##</sup><italic>p</italic>&#x003C;0.01. Significant differences between HDA and ND are indicated as <sup>#</sup><italic>p</italic>&#x003C;0.05 and <sup>##</sup><italic>p</italic>&#x003C;0.01. Significant differences between HD and HDA are indicated as <sup>&#x002A;</sup><italic>p</italic>&#x003C;0.05 and <sup>&#x002A;&#x002A;</sup><italic>p</italic>&#x003C;0.01.</p></caption>
<graphic xlink:href="fmicb-12-746601-g003.tif"/>
</fig>
</sec>
<sec id="sec13">
<title>Effects of <italic>L. sakei</italic> ADM14 on Changes in Ratio and Composition of Fecal Microbiota</title>
<p>On analyzing alpha diversity, there was no significant difference in the Chao1 index of each group, but there was a significant increase (<italic>p</italic>&#x003C;0.05) in the HDA group in the Shannon index compared to the ND group (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>). On the other hand, there was no significant change between the HD group and the HDA group.</p>
<p>Changes of fecal microbiota in the phylum level were assessed at 1, 6, and 10weeks using each group (<xref rid="fig4" ref-type="fig">Figure 4A</xref>). An increase in <italic>Firmicutes</italic> and a decrease in <italic>Bacteroidetes</italic> from 1 to 10weeks were observed in both HD and HDA groups, but each showed a difference in the range of variation. The <italic>Firmicutes</italic> ratios at 1, 6, and 10weeks were 49.02, 70.55, and 74.98%, respectively, in the HD group and 43.58, 70.02, and 74.04%, respectively, in the HDA group. There was no significant difference in the <italic>Firmicutes</italic> ratio between the two groups at 6 and 10weeks. The <italic>Bacteroidetes</italic> ratios at 1, 6, and 10weeks were 37.14, 22.37, and 3.56%, respectively, in the HD group and 38.49, 19.20, and 16.72%, respectively, in the HDA group. At 10weeks, the <italic>Bacteroidetes</italic> ratios of the two groups showed a significant difference (<italic>p</italic>&#x003C;0.05). In addition, the <italic>Proteobacteria</italic> ratios at 1, 6, and 10weeks were 2.95, 5.28, and 14.16%, respectively, in the HD group and 2.01, 9.50, and 7.21% at 1, 6, and 10weeks, respectively, in the HDA group. The HD group showed a steady increase in the <italic>Proteobacteria</italic> ratios, but the HDA group decreased again from 6 to 10weeks in the <italic>Proteobacteria</italic> ratios. The proportions of the three major phyla, <italic>Firmicutes</italic>, <italic>Bacteroidetes</italic>, and <italic>Proteobacteria</italic>, at 10weeks of HD and HDA groups were similar with those of the two groups shown in cecal microbiota from our previous study (<xref ref-type="bibr" rid="ref38">Won et al., 2020b</xref>), even though the proportion of the <italic>Proteobacteria</italic> in HDA group is higher than that of <italic>Bacteroidetes</italic> in the study of <xref ref-type="bibr" rid="ref38">Won et al. (2020b)</xref>. However, the <italic>Verrucomicrobia</italic>, which was the second major phylum in the cecal microbiota of HD group, was found only as minor phylum at 6 and 10weeks in fecal microbiota of this study (<xref ref-type="bibr" rid="ref38">Won et al., 2020b</xref>; <xref rid="fig4" ref-type="fig">Figure 4A</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Effect of administered <italic>L sakei</italic> ADM14 on fecal microbiome composition. <bold>(A)</bold> Changes in fecal microbiota in HD and HDA groups at the phylum level in 1, 6, and 10weeks. <bold>(B)</bold> <italic>Firmicutes</italic> to <italic>Bacteroidetes</italic> ratios between groups at 10weeks. <bold>(C)</bold> Fecal microbiota composition of groups at 10weeks is shown by the genus level UniFrac principal coordinates analysis (PCoA). <bold>(D)</bold> Main fecal microbiota composition of genus level (cut off taxa 2.5%) at 10weeks. <bold>(E)</bold> The relative abundance of specific taxa in fecal microbiota at 10weeks. The results are shown as mean&#x00B1;SEM (<italic>n</italic>=4&#x2013;6). Significant differences between groups are indicated as <sup>&#x002A;</sup><italic>p</italic>&#x003C;0.05.</p></caption>
<graphic xlink:href="fmicb-12-746601-g004.tif"/>
</fig>
<p>Two dominant phyla, <italic>Firmicutes</italic> and <italic>Bacteroidetes</italic>, were compared between the three groups at 10weeks (<xref rid="fig4" ref-type="fig">Figure 4B</xref>). The <italic>Firmicutes</italic> to <italic>Bacteroidetes</italic> ratio was significantly decreased (<italic>p</italic>&#x003C;0.05) in the HDA group compared to the HD group as well as ND group. At the genus level, UniFrac PCoA showed a tendency to separate among the three groups (<xref rid="fig4" ref-type="fig">Figure 4C</xref>). The percentage of major genus composition in the ND, HD, and HDA groups were investigated (<xref rid="fig4" ref-type="fig">Figure 4D</xref>). The proportions of genera <italic>Bacteroides</italic>, <italic>Oscillibacter</italic>, <italic>Helicobacter</italic>, <italic>Pseudoflavonifractor</italic>, <italic>Alistipes</italic>, KE159600_g, PAC002482_g, and PAC001118_g were higher in the HDA group than in other two groups. On the other hand, the proportions of genera <italic>Faecalibaculum</italic>, <italic>Lactobacillus</italic>, <italic>Desulfovibrio</italic>, <italic>Staphylococcus</italic>, <italic>Olsenella</italic>, and <italic>Romboutsia</italic> were lower in the HDA group compared to the HD group. Significant increases (<italic>p</italic>&#x003C;0.05) in levels of family <italic>Muribaculaceae</italic> and <italic>Bacteroides acidifaciens</italic> were found between the HDA and HD groups (<xref rid="fig4" ref-type="fig">Figure 4E</xref>). Significant increase (<italic>p</italic>&#x003C;0.05) in genus <italic>Alistipes</italic> was found in the HDA group compared to the ND and HD groups (<xref rid="fig4" ref-type="fig">Figure 4E</xref>). LEfSe analysis was calculated to identify specific bacterial taxa dominant in the HD and HDA groups (<xref rid="fig5" ref-type="fig">Figure 5</xref>). <italic>Pseudomonas</italic> and PAC000677_g were the core genus microbiota of the HD group, and <italic>Bacteroides</italic>, PAC002482_g, <italic>Alistipes</italic>, PAC001063_g, PAC000198_g, and PAC001066_g were identified as the dominant genus microbiota of the HDA group.</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption><p>Differentially represented genus between HD and HDA group through linear discriminant analysis effect size (LEfSe) analysis. Latent Dirichlet allocation (LDA) score indicates the effect size. <italic>n</italic>=4&#x2013;6 per group.</p></caption>
<graphic xlink:href="fmicb-12-746601-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="sec14" sec-type="discussions">
<title>Discussion</title>
<p>The incidence and severity of obesity and metabolic complications are constantly rising, and drug therapy has the potential to cause adverse effects (<xref ref-type="bibr" rid="ref30">Sonnenburg and B&#x00E4;ckhed, 2016</xref>; <xref ref-type="bibr" rid="ref9">Dahiya et al., 2017</xref>). The necessity for alternative therapy is increasing, and attention has been drawn by the effectiveness and utilization of probiotic lactobacilli (<xref ref-type="bibr" rid="ref1">Aryana and Olson, 2017</xref>). Animal studies and clinical studies have reported the anti-obesity effects of probiotic lactic acid bacteria and improvements in metabolic disorders (<xref ref-type="bibr" rid="ref9">Dahiya et al., 2017</xref>). In this study, the administration of <italic>L. sakei</italic> AMD14 suppressed weight gain and reduced body fat mass in a high-fat mouse model as shown in our previous study (<xref ref-type="bibr" rid="ref38">Won et al., 2020b</xref>). Although, there is no significant difference in total caloric consumption, the difference in physical indicators is confirmed to be an inhibitory effect by <italic>L. sakei</italic> ADM14 (<xref rid="fig1" ref-type="fig">Figure 1</xref>). The reduction in the weight of subcutaneous fat tissue, as well as reduction in the weight of the epididymal fat tissue also observed previous study (<xref ref-type="bibr" rid="ref38">Won et al., 2020b</xref>), appears to induce the overall decrease in lipid accumulation in mice administered with <italic>L. sakei</italic> AMD14. In this study, it was found that the weight of the liver was decreased, and as a result of microscopic observation through Oil Red O staining of the liver tissue, a decrease in the size of the adipocytes was observed (<xref rid="fig1" ref-type="fig">Figures 1D</xref>,<xref rid="fig1" ref-type="fig">E</xref>). This is seen as evidence that the expansion of adipocytes and accumulation of lipids in the liver were inhibited. Cardiovascular disease and lipidemia are major metabolic complications that occur and intensify because of obesity (<xref ref-type="bibr" rid="ref6">Cani and Delzenne, 2009</xref>). These metabolic disorders are mainly caused by an increase in blood cholesterol and TGs (<xref ref-type="bibr" rid="ref44">Yoo and Kim, 2016</xref>). The significant increases in total cholesterol, TG, and glucose in serum of the HD group were consistent with the predicted characteristics of obesity. Administration of <italic>L. sakei</italic> ADM14 suppressed and improved these indicators and confirmed the possibility of preventing symptoms related to lipidemia. The improvement in blood lipids after administration of <italic>L. sakei</italic> ADM14 could be evaluated on the basis of another case that the probiotic lactic acid bacteria effectively improved the serum markers of high-fat diet mice (<xref ref-type="bibr" rid="ref37">Wang et al., 2012</xref>).</p>
<p>To confirm the potential mechanism by which <italic>L. sakei</italic> ADM14 inhibits obesity in a high-fat diet mouse model, genetic expression analysis of epididymal adipose tissue was performed (<xref rid="fig2" ref-type="fig">Figure 2</xref>). Adipose tissue is one of the important organs that regulate lipid metabolism (<xref ref-type="bibr" rid="ref29">Schneeberger et al., 2015</xref>). Adipocyte transcription factors <italic>Ppar&#x03B3;</italic> and <italic>C/EBP&#x03B1;</italic> play an important role in the development of adipocytes (<xref ref-type="bibr" rid="ref27">Rosen et al., 1999</xref>; <xref ref-type="bibr" rid="ref15">Jeong et al., 2008</xref>), and our results showed a tendency to decrease in the expression of both genes. It has been reported that these transcription factors have a positive correlation with lipid accumulation rates (<xref ref-type="bibr" rid="ref23">Park et al., 2009</xref>). Additionally, the decreased expression of <italic>Srebp1C</italic>, which is involved in fatty acid synthesis, and <italic>Fas</italic>, which is involved in regulating lipid production, suggests that the accumulation of lipids in adipocytes was inhibited. Likewise, <italic>aP2</italic>, which is related to adipose production, and <italic>CD36</italic> and <italic>Lpl</italic>, which are related to lipid storage showed decreased expression and through this, it could be confirmed that a change occurred in adipose tissue metabolism. The expression of <italic>Ppar&#x03B3;</italic>, <italic>C/EBP&#x03B1;</italic>, <italic>Fas</italic>, <italic>aP2</italic>, and <italic>CD36</italic> in epididymal fat was confirmed to decrease also in this study as shown previously (<xref ref-type="bibr" rid="ref38">Won et al., 2020b</xref>). From these results, it could be confirmed that administration of <italic>L. sakei</italic> ADM14 may cause changes in adipose tissue metabolism by affecting transcription factors, lipid production, or lipid storage. Low-grade chronic inflammation of adipose tissue is one of the major factors in obesity-induced insulin resistance and metabolic disorders (<xref ref-type="bibr" rid="ref14">Gregor and Hotamisligil, 2011</xref>). As the expression of inflammation-related genes in adipose tissue was decreased, it was also confirmed that low-grade inflammation was alleviated (<xref rid="fig2" ref-type="fig">Figure 2</xref>; <xref ref-type="bibr" rid="ref38">Won et al., 2020b</xref>).</p>
<p>Nonalcoholic fatty liver disease is representative of the symptoms induced by obesity (<xref ref-type="bibr" rid="ref5">Canfora et al., 2019</xref>). The balance of lipid metabolism in the liver is disrupted, causing excessive lipogenesis and hepatic lipid accumulation (<xref ref-type="bibr" rid="ref28">Rotman and Sanyal, 2017</xref>; <xref ref-type="bibr" rid="ref13">Friedman et al., 2018</xref>). NAFLD can lead to liver damage and develop into fatty hepatitis, cirrhosis, or hepatocellular carcinoma (<xref ref-type="bibr" rid="ref20">Le Roy et al., 2013</xref>). Fundamentally, the increase in the expression of major genes related to lipogenesis in liver tissue seems to be one of the biggest causes. Glucose absorbed in the intestine regulates the transcription of lipogenic genes through <italic>ChREBP</italic> (<xref ref-type="bibr" rid="ref16">Kawaguchi et al., 2001</xref>). In our results, it appears that the decreased expression of <italic>ChREBP&#x03B1;/&#x03B2;</italic> resulted in the decreased expression of adipogenic genes, thus affecting the reduction of hepatic lipid accumulation in the liver. The expression of fatty acid synthesis-related genes such as <italic>Ppar&#x03B3;</italic>, <italic>Fas</italic>, and <italic>Acc1</italic> decreased with the inhibition of glucose catabolism. The expression of <italic>Srebp1C</italic> targeting <italic>Fas</italic> and <italic>Acc1</italic> also decreased. The main characteristic of NAFLD is the accumulation of TG in the liver (<xref ref-type="bibr" rid="ref11">Eslamparast et al., 2013</xref>). In a state of excess energy such as obesity, the activity of <italic>Dgat</italic>, which catalyzes TG synthesis, increases (<xref ref-type="bibr" rid="ref7">Choi and Diehl, 2008</xref>). The increase in free fatty acid delivered to the liver also upregulates the synthesis of TG and ultimately increases the likelihood of developing NAFLD (<xref ref-type="bibr" rid="ref7">Choi and Diehl, 2008</xref>). The results of our study showed that the expression of <italic>Dgat1</italic> and <italic>Dgat2</italic> was reduced in the final stage of TG synthesis. Likewise, a reduction in the uptake of free fatty acid through the reduction of <italic>Lpl</italic> and <italic>CD36</italic> expression seems to affect the process of TG synthesis. In our results, it was confirmed that the expression of <italic>Dgat1</italic> and <italic>Dgat2</italic>, which catalyzes TG synthesis, was decreased. Likewise, it appears that a reduction in the uptake of free fatty acid to the liver through a decrease in <italic>Lpl</italic> and <italic>CD36</italic> expression influenced the TG synthesis. &#x03B2;-oxidation is one of the key pathways for fatty acid metabolism in the liver (<xref ref-type="bibr" rid="ref22">Lu et al., 2014</xref>). <italic>Ppar&#x03B1;</italic> and <italic>Cpt1&#x03B1;</italic> were upregulated in the HDA group compared to the HD group. This has been shown to upregulate lipolysis and fatty acid oxidation. In this study, although NAFLD is shown not to be caused by high-fat diet, genetic analysis in the mechanisms of lipid metabolism in the liver suggests that <italic>L. sakei</italic> ADM14 downregulates lipid production and upregulates fatty acid oxidation-related genes, while regulating hepatocytes lipid accumulation and a reduction in TG synthesis (<xref rid="fig3" ref-type="fig">Figure 3</xref>).</p>
<p>A high-fat diet can contribute to changes in the gut microbiome and can lead to metabolic imbalances caused by gut microbiota dysbiosis (<xref ref-type="bibr" rid="ref36">Wang et al., 2011</xref>; <xref ref-type="bibr" rid="ref41">Wu et al., 2017</xref>). In addition, gut microbiota dysbiosis has recently been reported to be associated with liver diseases as well as metabolic diseases such as obesity (<xref ref-type="bibr" rid="ref8">Da Silva et al., 2018</xref>; <xref ref-type="bibr" rid="ref18">Kong et al., 2018</xref>). Therefore, for the prevention and treatment of metabolic diseases, an analysis targeting the gut microbiota must be conducted (<xref ref-type="bibr" rid="ref21">Li et al., 2020</xref>). As a result of analyzing the fecal microbiota, we observed a significant decrease (<italic>p</italic>&#x003C;0.05) in the <italic>Firmicutes</italic> to <italic>Bacteroidetes</italic> ratio in the HDA group compared to the HD group at the phylum level as also shown in cecal microbiota from our previous study (<xref ref-type="bibr" rid="ref38">Won et al., 2020b</xref>; <xref rid="fig2" ref-type="fig">Figure 2</xref>). The main cause was the difference in the relative abundance of the <italic>Bacteroidetes</italic> between HDA and HD groups over 10weeks. In particular, relative abundance of the <italic>Bacteroidetes</italic> after 10weeks from the HDA group was also similar with that of cecum shown in the study of <xref ref-type="bibr" rid="ref38">Won et al. (2020b)</xref>. In the analyses of the fecal microbiota at three different times (1, 6, and 10weeks), the increase in <italic>Firmicutes</italic> ratios from 1 to 6weeks was much greater than that from 6 to 10weeks in both the HD and HDA groups, whereas the decrease in <italic>Bacteroidetes</italic> ratios was greater from 6 to 10weeks in the HD group but was greater from 1 to 6weeks in the HDA group (<xref rid="fig4" ref-type="fig">Figure 4A</xref>). The <italic>Proteobacteria</italic> ratios from 6 to 10weeks were decreased in the HDA group unlike in the HD group (<xref rid="fig4" ref-type="fig">Figure 4A</xref>). The administration of <italic>L. sakei</italic> ADM14 from 1 to 10weeks does not affect <italic>Firmicutes</italic> ratios between the HD and HDA groups but affect the ratios of <italic>Bacteroidetes</italic> and <italic>Proteobacteria</italic> in the HDA group. In the study of <xref ref-type="bibr" rid="ref38">Won et al. (2020b)</xref>, administration of <italic>L. sakei</italic> ADM14 was shown to increase <italic>Firmicutes</italic> ratios in the cecal microbiota. These results suggest that the failure to increase the <italic>Firmicutes</italic> ratio in fecal microbiota despite the administration of <italic>L. sakei</italic> might be due to colonization of <italic>L. sakei</italic> ADM14 in the intestine. The <italic>Firmicutes</italic> can produce more harvestable energy than <italic>Bacteroidetes</italic>, and when the relative abundance of <italic>Firmicutes</italic> increases and <italic>Bacteroidetes</italic> decreases, the absorption of calories in the digestive tract increases (<xref ref-type="bibr" rid="ref35">Turnbaugh et al., 2006</xref>; <xref ref-type="bibr" rid="ref17">Komaroff, 2017</xref>). This difference in terms of energy harvesting promotes metabolic diseases such as obesity. In our results, the administration of <italic>L. sakei</italic> ADM14 induces a change in the proportion of the dominant taxa at the phylum level and suggests that differences in energy resources may occur. At the genus level, <italic>Bacteroides</italic>, <italic>Oscillibacter</italic>, and <italic>Alistipes</italic>, which have higher proportions in the HDA group compared to the HD group, were reported to have a negative correlation with obesity (<xref ref-type="bibr" rid="ref9">Dahiya et al., 2017</xref>; <xref ref-type="bibr" rid="ref33">Thingholm et al., 2019</xref>). <italic>Bacteroides</italic> and <italic>Alistipes</italic> were also observed to have higher proportions in cecal sample of the HDA group in previous study by <xref ref-type="bibr" rid="ref38">Won et al. (2020b)</xref>. <italic>Bacteroides</italic> and <italic>Alistipes</italic> are known to be the major producers of short chain fatty acids such as acetic acid and butyric acid (<xref ref-type="bibr" rid="ref3">Borton et al., 2017</xref>; <xref ref-type="bibr" rid="ref43">Yin et al., 2018</xref>). In fecal microbiota, members of genus <italic>Alistipes</italic>, family <italic>Muribaculaceae</italic> and species <italic>Bacteroides acidifaciens</italic> were notable bacteria whose relative abundance was significantly changed by the administration of <italic>L. sakei</italic> ADM14 (<xref rid="fig4" ref-type="fig">Figure 4E</xref>). The genus <italic>Alistipes</italic> is found at low levels in the intestines of patients with hepatocellular carcinoma, colitis, and NAFLD and has been reported to have protective effects against some diseases including liver fibrosis, colitis, and cardiovascular disease (<xref ref-type="bibr" rid="ref24">Parker et al., 2020</xref>). <italic>Muribaculaceae</italic>, previously known as family S24-7, was reported as representative bacteria with low abundance in mice fed a high-fat diet (<xref ref-type="bibr" rid="ref19">Lagkouvardos et al., 2016</xref>). <italic>Bacteroides acidifaciens</italic> has been reported to be effective in preventing metabolic disorders such as obesity by controlling the host lipid metabolism (<xref ref-type="bibr" rid="ref42">Yang et al., 2017</xref>). Overall, <italic>L. sakei</italic> ADM14 changed the composition of gut microbiota, suggesting the possibility of preventing metabolic disorders caused by dysbiosis. In particular, an increase in the abundance of <italic>Alistipes</italic> through gut microbiota modification helps to prevent diseases such as fatty liver through gut-liver axis modulation.</p>
</sec>
<sec id="sec15" sec-type="conclusions">
<title>Conclusion</title>
<p>In this study, <italic>Latilactobacillus sakei</italic> ADM14 was found to inhibit adipogenesis by regulating the expression level of lipid metabolism in adipose tissue and liver tissue in a high-fat diet mouse model. In addition, fecal microbial community analysis suggested that the composition and ratio of gut microbiota were modified to induce changes in energy harvest, and the possibility of preventing metabolic disorders through modulation of the gut-liver axis. To our knowledge, there are few studies to evaluate the relationships among obesity, lipid metabolism in both epididymal fat and liver, and fecal microbiomes at different times by probiotic strain, particularly lactic acid bacteria isolated from kimchi. Further research and clinical studies are needed to evaluate their applicability and effectiveness in human.</p>
</sec>
<sec id="sec16" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: <ext-link xlink:href="https://www.ncbi.nlm.nih.gov/" ext-link-type="uri">https://www.ncbi.nlm.nih.gov/</ext-link> (PRJNA751416, PRJNA751419, PRJNA751420, PRJNA751421, PRJNA751431, and PRJNA751433).</p>
</sec>
<sec id="sec17">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Animal Care and Use Committee of the College of Biotechnology at Sungkyunkwan University (approval number: SKKUIACUC-18-04-14-3).</p>
</sec>
<sec id="sec18">
<title>Author Contributions</title>
<p>S-MW and MS performed the experiments of this study and reviewed the manuscript. MK supported some experiments of this study. KP discussed the results of this study. J-HY designed this study and wrote manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec41" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the &#x201C;Cooperative Research Program for Agriculture Science and Technology Development (project no. PJ015247)&#x201D; of the Rural Development Administration, Republic of Korea and a Research Initiative Program of Sungkyunkwan University, Republic of Korea.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec40" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="sec20" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2021.746601/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2021.746601/full#supplementary-material</ext-link></p>
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<ref-list>
<title>References</title>
<ref id="ref1"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aryana</surname> <given-names>K. J.</given-names></name> <name><surname>Olson</surname> <given-names>D. W.</given-names></name></person-group> (<year>2017</year>). <article-title>A 100-year review: yogurt and other cultured dairy products</article-title>. <source>J. Dairy Sci.</source> <volume>100</volume>, <fpage>9987</fpage>&#x2013;<lpage>10013</lpage>. doi: <pub-id pub-id-type="doi">10.3168/jds.2017-12981</pub-id>, PMID: <pub-id pub-id-type="pmid">29153184</pub-id></citation></ref>
<ref id="ref2"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bastien</surname> <given-names>M.</given-names></name> <name><surname>Poirier</surname> <given-names>P.</given-names></name> <name><surname>Lemieux</surname> <given-names>I.</given-names></name> <name><surname>Despr&#x00E9;s</surname> <given-names>J. P.</given-names></name></person-group> (<year>2014</year>). <article-title>Overview of epidemiology and contribution of obesity to cardiovascular disease</article-title>. <source>Prog. Cardiovasc. Dis.</source> <volume>56</volume>, <fpage>369</fpage>&#x2013;<lpage>381</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pcad.2013.10.016</pub-id>, PMID: <pub-id pub-id-type="pmid">24438728</pub-id></citation></ref>
<ref id="ref3"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Borton</surname> <given-names>M. A.</given-names></name> <name><surname>Sabag-Daigle</surname> <given-names>A.</given-names></name> <name><surname>Wu</surname> <given-names>J.</given-names></name> <name><surname>Solden</surname> <given-names>L. M.</given-names></name> <name><surname>Wrighton</surname> <given-names>K. C.</given-names></name></person-group> (<year>2017</year>). <article-title>Chemical and pathogen-induced inflammation disrupt the murine intestinal microbiome</article-title>. <source>Microbiome</source> <volume>5</volume>, <fpage>1</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s40168-017-0264-8</pub-id>, PMID: <pub-id pub-id-type="pmid">28449706</pub-id></citation></ref>
<ref id="ref4"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Buzzetti</surname> <given-names>E.</given-names></name> <name><surname>Pinzani</surname> <given-names>M.</given-names></name> <name><surname>Tsochatzis</surname> <given-names>E. A.</given-names></name></person-group> (<year>2016</year>). <article-title>The multiple-hit pathogenesis of non-alcoholic fatty liver disease (NAFLD)</article-title>. <source>Metabolism</source> <volume>65</volume>, <fpage>1038</fpage>&#x2013;<lpage>1048</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.metabol.2015.12.012</pub-id>, PMID: <pub-id pub-id-type="pmid">26823198</pub-id></citation></ref>
<ref id="ref5"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Canfora</surname> <given-names>E. E.</given-names></name> <name><surname>Meex</surname> <given-names>R. C. R.</given-names></name> <name><surname>Venema</surname> <given-names>K.</given-names></name> <name><surname>Blaak</surname> <given-names>E. E.</given-names></name></person-group> (<year>2019</year>). <article-title>Gut microbial metabolites in obesity, NAFLD and T2DM</article-title>. <source>Nat. Rev. Endocrinol.</source> <volume>15</volume>, <fpage>261</fpage>&#x2013;<lpage>273</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41574-019-0156-z</pub-id>, PMID: <pub-id pub-id-type="pmid">30670819</pub-id></citation></ref>
<ref id="ref6"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cani</surname> <given-names>P.</given-names></name> <name><surname>Delzenne</surname> <given-names>N.</given-names></name></person-group> (<year>2009</year>). <article-title>The role of the gut microbiota in energy metabolism and metabolic disease</article-title>. <source>Curr. Pharm. Des.</source> <volume>15</volume>, <fpage>1546</fpage>&#x2013;<lpage>1558</lpage>. doi: <pub-id pub-id-type="doi">10.2174/138161209788168164</pub-id>, PMID: <pub-id pub-id-type="pmid">19442172</pub-id></citation></ref>
<ref id="ref7"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Choi</surname> <given-names>S. S.</given-names></name> <name><surname>Diehl</surname> <given-names>A. M.</given-names></name></person-group> (<year>2008</year>). <article-title>Hepatic triglyceride synthesis and nonalcoholic fatty liver disease</article-title>. <source>Curr. Opin. Lipidol.</source> <volume>19</volume>, <fpage>295</fpage>&#x2013;<lpage>300</lpage>. doi: <pub-id pub-id-type="doi">10.1097/MOL.0b013e3282ff5e55</pub-id>, PMID: <pub-id pub-id-type="pmid">18460922</pub-id></citation></ref>
<ref id="ref8"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Da Silva</surname> <given-names>H. E.</given-names></name> <name><surname>Teterina</surname> <given-names>A.</given-names></name> <name><surname>Comelli</surname> <given-names>E. M.</given-names></name> <name><surname>Taibi</surname> <given-names>A.</given-names></name> <name><surname>Arendt</surname> <given-names>B. M.</given-names></name> <name><surname>Allard</surname> <given-names>J. P.</given-names></name></person-group> (<year>2018</year>). <article-title>Nonalcoholic fatty liver disease is associated with dysbiosis independent of body mass index and insulin resistance</article-title>. <source>Sci. Rep.</source> <volume>8</volume>:<fpage>1466</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-018-19753-9</pub-id>, PMID: <pub-id pub-id-type="pmid">29362454</pub-id></citation></ref>
<ref id="ref9"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dahiya</surname> <given-names>D. K.</given-names></name> <name><surname>Renuka</surname></name> <name><surname>Puniya</surname> <given-names>M.</given-names></name> <name><surname>Shandilya</surname> <given-names>U. K.</given-names></name> <name><surname>Dhewa</surname> <given-names>T.</given-names></name> <name><surname>Shukla</surname> <given-names>P.</given-names></name></person-group> (<year>2017</year>). <article-title>Gut microbiota modulation and its relationship with obesity using prebiotic fibers and probiotics: a review</article-title>. <source>Front. Microbiol.</source> <volume>8</volume>:<fpage>563</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fmicb.2017.00563</pub-id>, PMID: <pub-id pub-id-type="pmid">28421057</pub-id></citation></ref>
<ref id="ref10"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dewulf</surname> <given-names>E. M.</given-names></name> <name><surname>Cani</surname> <given-names>P. D.</given-names></name> <name><surname>Neyrinck</surname> <given-names>A. M.</given-names></name> <name><surname>Possemiers</surname> <given-names>S.</given-names></name> <name><surname>Delzenne</surname> <given-names>N. M.</given-names></name></person-group> (<year>2011</year>). <article-title>Inulin-type fructans with prebiotic properties counteract GPR43 overexpression and PPAR&#x03B3;-related adipogenesis in the white adipose tissue of high-fat diet-fed mice</article-title>. <source>J. Nutr. Biochem.</source> <volume>22</volume>, <fpage>712</fpage>&#x2013;<lpage>722</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jnutbio.2010.05.009</pub-id>, PMID: <pub-id pub-id-type="pmid">21115338</pub-id></citation></ref>
<ref id="ref11"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Eslamparast</surname> <given-names>T.</given-names></name> <name><surname>Eghtesad</surname> <given-names>S.</given-names></name> <name><surname>Hekmatdoost</surname> <given-names>A.</given-names></name> <name><surname>Poustchi</surname> <given-names>H.</given-names></name></person-group> (<year>2013</year>). <article-title>Probiotics and nonalcoholic fatty liver disease</article-title>. <source>Middle East J. Dig. Dis.</source> <volume>5</volume>, <fpage>129</fpage>&#x2013;<lpage>136</lpage>. PMID: <pub-id pub-id-type="pmid">24829682</pub-id></citation></ref>
<ref id="ref12"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fadrosh</surname> <given-names>D. W.</given-names></name> <name><surname>Ma</surname> <given-names>B.</given-names></name> <name><surname>Gajer</surname> <given-names>P.</given-names></name> <name><surname>Sengamalay</surname> <given-names>N.</given-names></name> <name><surname>Ott</surname> <given-names>S.</given-names></name> <name><surname>Brotman</surname> <given-names>R. M.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform</article-title>. <source>Microbiome</source> <volume>2</volume>:<fpage>6</fpage>. doi: <pub-id pub-id-type="doi">10.1186/2049-2618-2-6</pub-id>, PMID: <pub-id pub-id-type="pmid">24558975</pub-id></citation></ref>
<ref id="ref13"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Friedman</surname> <given-names>S. L.</given-names></name> <name><surname>Neuschwander-Tetri</surname> <given-names>B. A.</given-names></name> <name><surname>Rinella</surname> <given-names>M.</given-names></name> <name><surname>Sanyal</surname> <given-names>A. J.</given-names></name></person-group> (<year>2018</year>). <article-title>Mechanisms of NAFLD development and therapeutic strategies</article-title>. <source>Nat. Med.</source> <volume>24</volume>, <fpage>908</fpage>&#x2013;<lpage>922</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41591-018-0104-9</pub-id>, PMID: <pub-id pub-id-type="pmid">29967350</pub-id></citation></ref>
<ref id="ref14"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gregor</surname> <given-names>M. F.</given-names></name> <name><surname>Hotamisligil</surname> <given-names>G. S.</given-names></name></person-group> (<year>2011</year>). <article-title>Inflammatory mechanisms in obesity</article-title>. <source>Annu. Rev. Immunol.</source> <volume>29</volume>, <fpage>415</fpage>&#x2013;<lpage>445</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-immunol-031210-101322</pub-id>, PMID: <pub-id pub-id-type="pmid">21219177</pub-id></citation></ref>
<ref id="ref15"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jeong</surname> <given-names>H. J.</given-names></name> <name><surname>Yoon</surname> <given-names>S. J.</given-names></name> <name><surname>Pyun</surname> <given-names>Y. R.</given-names></name></person-group> (<year>2008</year>). <article-title>Polysaccharides from edible mushroom Hinmogi (<italic>Tremella fuciformis</italic>) inhibit differentiation of 3T3-L1 adipocytes by reducing mRNA expression of PPAR&#x03B3;, C/EBP&#x03B1;, and leptin</article-title>. <source>Food Sci. Biotechnol.</source> <volume>17</volume>, <fpage>267</fpage>&#x2013;<lpage>273</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbrc.2011.05.086</pub-id></citation></ref>
<ref id="ref16"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kawaguchi</surname> <given-names>T.</given-names></name> <name><surname>Takenoshita</surname> <given-names>M.</given-names></name> <name><surname>Kabashima</surname> <given-names>T.</given-names></name> <name><surname>Uyeda</surname> <given-names>K.</given-names></name></person-group> (<year>2001</year>). <article-title>Glucose and cAMP regulate the L-type pyruvate kinase gene by phosphorylation/dephosphorylation of the carbohydrate response element binding protein</article-title>. <source>Proc. Natl. Acad. Sci. U. S. A.</source> <volume>98</volume>, <fpage>13710</fpage>&#x2013;<lpage>13715</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.231370798</pub-id>, PMID: <pub-id pub-id-type="pmid">11698644</pub-id></citation></ref>
<ref id="ref17"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Komaroff</surname> <given-names>A. L.</given-names></name></person-group> (<year>2017</year>). <article-title>The microbiome and risk for obesity and diabetes</article-title>. <source>JAMA</source> <volume>317</volume>, <fpage>355</fpage>&#x2013;<lpage>356</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jama.2016.20099</pub-id>, PMID: <pub-id pub-id-type="pmid">28006047</pub-id></citation></ref>
<ref id="ref18"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kong</surname> <given-names>C.</given-names></name> <name><surname>Gao</surname> <given-names>R.</given-names></name> <name><surname>Yan</surname> <given-names>X.</given-names></name> <name><surname>Huang</surname> <given-names>L.</given-names></name> <name><surname>Qin</surname> <given-names>H.</given-names></name></person-group> (<year>2018</year>). <article-title>Probiotics improve gut microbiota dysbiosis in obese mice fed a high-fat or high-sucrose diet</article-title>. <source>Nutrition</source> <volume>60</volume>, <fpage>175</fpage>&#x2013;<lpage>184</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nut.2018.10.002</pub-id>, PMID: <pub-id pub-id-type="pmid">30611080</pub-id></citation></ref>
<ref id="ref19"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lagkouvardos</surname> <given-names>I.</given-names></name> <name><surname>Pukall</surname> <given-names>R.</given-names></name> <name><surname>Abt</surname> <given-names>B.</given-names></name> <name><surname>Foesel</surname> <given-names>B. U.</given-names></name> <name><surname>Clavel</surname> <given-names>T.</given-names></name></person-group> (<year>2016</year>). <article-title>The mouse intestinal bacterial collection (miBC) provides host-specific insight into cultured diversity and functional potential of the gut microbiota</article-title>. <source>Nat. Microbiol.</source> <volume>1</volume>, <fpage>1</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nmicrobiol.2016.131</pub-id>, PMID: <pub-id pub-id-type="pmid">27670113</pub-id></citation></ref>
<ref id="ref20"><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>G&#x00E9;rard</surname> <given-names>P.</given-names></name></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>, PMID: <pub-id pub-id-type="pmid">23197411</pub-id></citation></ref>
<ref id="ref21"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>H.</given-names></name> <name><surname>Liu</surname> <given-names>F.</given-names></name> <name><surname>Lu</surname> <given-names>J.</given-names></name> <name><surname>Shi</surname> <given-names>J.</given-names></name> <name><surname>Guan</surname> <given-names>J.</given-names></name> <name><surname>Yan</surname> <given-names>F.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Probiotic mixture of <italic>lactobacillus plantarum</italic> strains improves lipid metabolism and gut microbiota structure in high fat diet-fed mice</article-title>. <source>Front. Microbiol.</source> <volume>11</volume>:<fpage>512</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fmicb.2020.00512</pub-id>, PMID: <pub-id pub-id-type="pmid">32273874</pub-id></citation></ref>
<ref id="ref22"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lu</surname> <given-names>H.-J.</given-names></name> <name><surname>Tzeng</surname> <given-names>T.-F.</given-names></name> <name><surname>Liou</surname> <given-names>S.-S.</given-names></name> <name><surname>Chang</surname> <given-names>C. J.</given-names></name> <name><surname>Yang</surname> <given-names>C.</given-names></name> <name><surname>Wu</surname> <given-names>M.-C.</given-names></name> <etal/></person-group>. (<year>2014</year>). <article-title>Ruscogenin ameliorates experimental nonalcoholic steatohepatitis via suppressing lipogenesis and inflammatory pathway</article-title>. <source>Biomed Res. Int.</source> <volume>2014</volume>:<fpage>652680</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2014/652680</pub-id>, PMID: <pub-id pub-id-type="pmid">25136608</pub-id></citation></ref>
<ref id="ref23"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Park</surname> <given-names>H. J.</given-names></name> <name><surname>Della-Fera</surname> <given-names>M. A.</given-names></name> <name><surname>Hausman</surname> <given-names>D. B.</given-names></name> <name><surname>Rayalam</surname> <given-names>S.</given-names></name> <name><surname>Baile</surname> <given-names>C. A.</given-names></name></person-group> (<year>2009</year>). <article-title>Genistein inhibits differentiation of primary human adipocytes</article-title>. <source>J. Nutr. Biochem.</source> <volume>20</volume>, <fpage>140</fpage>&#x2013;<lpage>148</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jnutbio.2008.01.006</pub-id>, PMID: <pub-id pub-id-type="pmid">18547799</pub-id></citation></ref>
<ref id="ref24"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Parker</surname> <given-names>B. J.</given-names></name> <name><surname>Wearsch</surname> <given-names>P. A.</given-names></name> <name><surname>Veloo</surname> <given-names>A. C. M.</given-names></name> <name><surname>Rodriguez-Palacios</surname> <given-names>A.</given-names></name></person-group> (<year>2020</year>). <article-title>The genus <italic>Alistipes</italic>: gut bacteria with emerging implications to inflammation, cancer, and mental health</article-title>. <source>Front. Immunol.</source> <volume>11</volume>:<fpage>906</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2020.00906</pub-id>, PMID: <pub-id pub-id-type="pmid">32582143</pub-id></citation></ref>
<ref id="ref25"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ridaura</surname> <given-names>V. K.</given-names></name> <name><surname>Faith</surname> <given-names>J. J.</given-names></name> <name><surname>Rey</surname> <given-names>F. E.</given-names></name> <name><surname>Cheng</surname> <given-names>J.</given-names></name> <name><surname>Duncan</surname> <given-names>A. E.</given-names></name> <name><surname>Gordon</surname> <given-names>J. I.</given-names></name></person-group> (<year>2013</year>). <article-title>Gut microbiota from twins discordant for obesity modulate metabolism in mice</article-title>. <source>Science</source> <volume>341</volume>:<fpage>1241214</fpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1241214</pub-id>, PMID: <pub-id pub-id-type="pmid">24009397</pub-id></citation></ref>
<ref id="ref26"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Roller</surname> <given-names>M.</given-names></name> <name><surname>Rechkemmer</surname> <given-names>G.</given-names></name> <name><surname>Watzl</surname> <given-names>B.</given-names></name></person-group> (<year>2004</year>). <article-title>Prebiotic inulin enriched with oligofructose in combination with the probiotics <italic>Lactobacillus rhamnosus</italic> and <italic>Bifidobacterium lactis</italic> modulates intestinal immune functions in rats</article-title>. <source>J. Nutr.</source> <volume>134</volume>, <fpage>153</fpage>&#x2013;<lpage>156</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jn/134.1.153</pub-id>, PMID: <pub-id pub-id-type="pmid">14704309</pub-id></citation></ref>
<ref id="ref27"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rosen</surname> <given-names>E. D.</given-names></name> <name><surname>Sarraf</surname> <given-names>P.</given-names></name> <name><surname>Troy</surname> <given-names>A. E.</given-names></name> <name><surname>Bradwin</surname> <given-names>G.</given-names></name> <name><surname>Moore</surname> <given-names>K.</given-names></name> <name><surname>Mortensen</surname> <given-names>R. M.</given-names></name></person-group> (<year>1999</year>). <article-title>PPAR&#x03B3; is required for the differentiation of adipose tissue in vivo and in vitro</article-title>. <source>Mol. Cell</source> <volume>4</volume>, <fpage>611</fpage>&#x2013;<lpage>617</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1097-2765(00)80211-7</pub-id>, PMID: <pub-id pub-id-type="pmid">10549292</pub-id></citation></ref>
<ref id="ref28"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rotman</surname> <given-names>Y.</given-names></name> <name><surname>Sanyal</surname> <given-names>A. J.</given-names></name></person-group> (<year>2017</year>). <article-title>Current and upcoming pharmacotherapy for non-alcoholic fatty liver disease</article-title>. <source>Gut</source> <volume>66</volume>, <fpage>180</fpage>&#x2013;<lpage>190</lpage>. doi: <pub-id pub-id-type="doi">10.1136/gutjnl-2016-312431</pub-id>, PMID: <pub-id pub-id-type="pmid">27646933</pub-id></citation></ref>
<ref id="ref29"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schneeberger</surname> <given-names>M.</given-names></name> <name><surname>Everard</surname> <given-names>A.</given-names></name> <name><surname>G&#x00F3;mez-Valad&#x00E9;s</surname> <given-names>A. G.</given-names></name> <name><surname>Cani</surname> <given-names>P. D.</given-names></name></person-group> (<year>2015</year>). <article-title><italic>Akkermansia muciniphila</italic> inversely correlates with the onset of inflammation, altered adipose tissue metabolism and metabolic disorders during obesity in mice</article-title>. <source>Sci. Rep.</source> <volume>5</volume>:<fpage>16643</fpage>. doi: <pub-id pub-id-type="doi">10.1038/srep16643</pub-id>, PMID: <pub-id pub-id-type="pmid">26563823</pub-id></citation></ref>
<ref id="ref30"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sonnenburg</surname> <given-names>J. L.</given-names></name> <name><surname>B&#x00E4;ckhed</surname> <given-names>F.</given-names></name></person-group> (<year>2016</year>). <article-title>Diet-microbiota interactions as moderators of human metabolism</article-title>. <source>Nature</source> <volume>535</volume>, <fpage>56</fpage>&#x2013;<lpage>64</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature18846</pub-id>, PMID: <pub-id pub-id-type="pmid">27383980</pub-id></citation></ref>
<ref id="ref31"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Spencer</surname> <given-names>M. D.</given-names></name> <name><surname>Hamp</surname> <given-names>T. J.</given-names></name> <name><surname>Reid</surname> <given-names>R. W.</given-names></name> <name><surname>Fischer</surname> <given-names>L. M.</given-names></name> <name><surname>Steven</surname> <given-names>H.</given-names></name> <name><surname>Fodor</surname> <given-names>A. A.</given-names></name></person-group> (<year>2012</year>). <article-title>Association between composition of the human gastrointestinal microbiome and development of fatty liver with choline deficiency</article-title>. <source>Gastroenterology</source> <volume>140</volume>, <fpage>976</fpage>&#x2013;<lpage>986</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2010.11.049</pub-id>, PMID: <pub-id pub-id-type="pmid">21129376</pub-id></citation></ref>
<ref id="ref32"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>J.</given-names></name> <name><surname>Buys</surname> <given-names>N.</given-names></name></person-group> (<year>2015</year>). <article-title>Effects of probiotics consumption on lowering lipids and CVD risk factors: a systematic review and meta-analysis of randomized controlled trials</article-title>. <source>Ann. Med.</source> <volume>47</volume>, <fpage>430</fpage>&#x2013;<lpage>440</lpage>. doi: <pub-id pub-id-type="doi">10.3109/07853890.2015.1071872</pub-id>, PMID: <pub-id pub-id-type="pmid">26340330</pub-id></citation></ref>
<ref id="ref33"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Thingholm</surname> <given-names>L. B.</given-names></name> <name><surname>R&#x00FC;hlemann</surname> <given-names>M. C.</given-names></name> <name><surname>Koch</surname> <given-names>M.</given-names></name> <name><surname>Fuqua</surname> <given-names>B.</given-names></name> <name><surname>Huttenhower</surname> <given-names>C.</given-names></name></person-group> (<year>2019</year>). <article-title>Obese individuals with and without type 2 diabetes show different gut microbial functional capacity and composition</article-title>. <source>Cell Host Microbe</source> <volume>26</volume>, <fpage>252.e10</fpage>&#x2013;<lpage>264.e10</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.chom.2019.07.004</pub-id>, PMID: <pub-id pub-id-type="pmid">31399369</pub-id></citation></ref>
<ref id="ref34"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tilg</surname> <given-names>H.</given-names></name> <name><surname>Cani</surname> <given-names>P. D.</given-names></name> <name><surname>Mayer</surname> <given-names>E. A.</given-names></name></person-group> (<year>2016</year>). <article-title>Gut microbiome and liver diseases</article-title>. <source>Gut</source> <volume>65</volume>, <fpage>2035</fpage>&#x2013;<lpage>2044</lpage>. doi: <pub-id pub-id-type="doi">10.1136/gutjnl-2016-312729</pub-id>, PMID: <pub-id pub-id-type="pmid">27802157</pub-id></citation></ref>
<ref id="ref35"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Turnbaugh</surname> <given-names>P. J.</given-names></name> <name><surname>Ley</surname> <given-names>R. E.</given-names></name> <name><surname>Mahowald</surname> <given-names>M. A.</given-names></name> <name><surname>Magrini</surname> <given-names>V.</given-names></name> <name><surname>Mardis</surname> <given-names>E. R.</given-names></name> <name><surname>Gordon</surname> <given-names>J. I.</given-names></name></person-group> (<year>2006</year>). <article-title>An obesity-associated gut microbiome with increased capacity for energy harvest</article-title>. <source>Nature</source> <volume>444</volume>, <fpage>1027</fpage>&#x2013;<lpage>1031</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature05414</pub-id>, PMID: <pub-id pub-id-type="pmid">17183312</pub-id></citation></ref>
<ref id="ref36"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>Z.</given-names></name> <name><surname>Klipfell</surname> <given-names>E.</given-names></name> <name><surname>Bennett</surname> <given-names>B. J.</given-names></name> <name><surname>Koeth</surname> <given-names>R.</given-names></name> <name><surname>Levison</surname> <given-names>B. S.</given-names></name> <name><surname>Hazen</surname> <given-names>S. L.</given-names></name></person-group> (<year>2011</year>). <article-title>Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease</article-title>. <source>Nature</source> <volume>472</volume>, <fpage>57</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature09922</pub-id>, PMID: <pub-id pub-id-type="pmid">21475195</pub-id></citation></ref>
<ref id="ref37"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>J.</given-names></name> <name><surname>Zhang</surname> <given-names>H.</given-names></name> <name><surname>Chen</surname> <given-names>X.</given-names></name> <name><surname>Chen</surname> <given-names>Y.</given-names></name> <name><surname>Menghebilige</surname></name> <name><surname>Bao</surname> <given-names>Q.</given-names></name></person-group> (<year>2012</year>). <article-title>Selection of potential probiotic lactobacilli for cholesterol-lowering properties and their effect on cholesterol metabolism in rats fed a high-lipid diet</article-title>. <source>J. Dairy Sci.</source> <volume>95</volume>, <fpage>1645</fpage>&#x2013;<lpage>1654</lpage>. doi: <pub-id pub-id-type="doi">10.3168/jds.2011-4768</pub-id>, PMID: <pub-id pub-id-type="pmid">22459813</pub-id></citation></ref>
<ref id="ref39"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Won</surname> <given-names>S. M.</given-names></name> <name><surname>Chen</surname> <given-names>S.</given-names></name> <name><surname>Park</surname> <given-names>K. W.</given-names></name> <name><surname>Yoon</surname> <given-names>J.-H.</given-names></name></person-group> (<year>2020a</year>). <article-title>Isolation of lactic acid bacteria from kimchi and screening of <italic>Lactobacillus sakei</italic> ADM14 with anti-adipogenic effect and potential probiotic properties</article-title>. <source>LWT</source> <volume>126</volume>:<fpage>109296</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.lwt.2020.109296</pub-id></citation></ref>
<ref id="ref38"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Won</surname> <given-names>S. M.</given-names></name> <name><surname>Chen</surname> <given-names>S.</given-names></name> <name><surname>Lee</surname> <given-names>S. Y.</given-names></name> <name><surname>Lee</surname> <given-names>K. E.</given-names></name> <name><surname>Park</surname> <given-names>K. W.</given-names></name> <name><surname>Yoon</surname> <given-names>J.-H.</given-names></name></person-group> (<year>2020b</year>). <article-title><italic>Lactobacillus sakei</italic> ADM14 induces anti-obesity effects and changes in gut microbiome in high-fat diet-induced obese mice</article-title>. <source>Nutrients</source> <volume>12</volume>:<fpage>3703</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu12123703</pub-id>, PMID: <pub-id pub-id-type="pmid">33266101</pub-id></citation></ref>
<ref id="ref40"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wong</surname> <given-names>R. J.</given-names></name> <name><surname>Aguilar</surname> <given-names>M.</given-names></name> <name><surname>Cheung</surname> <given-names>R.</given-names></name> <name><surname>Perumpail</surname> <given-names>R. B.</given-names></name> <name><surname>Harrison</surname> <given-names>S. A.</given-names></name> <name><surname>Ahmed</surname> <given-names>A.</given-names></name></person-group> (<year>2015</year>). <article-title>Nonalcoholic steatohepatitis is the second leading etiology of liver disease among adults awaiting liver transplantation in the United States</article-title>. <source>Gastroenterology</source> <volume>148</volume>, <fpage>547</fpage>&#x2013;<lpage>555</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.gastro.2014.11.039</pub-id>, PMID: <pub-id pub-id-type="pmid">25461851</pub-id></citation></ref>
<ref id="ref41"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>H.</given-names></name> <name><surname>Esteve</surname> <given-names>E.</given-names></name> <name><surname>Tremaroli</surname> <given-names>V.</given-names></name> <name><surname>Khan</surname> <given-names>M. T.</given-names></name> <name><surname>Caesar</surname> <given-names>R.</given-names></name> <name><surname>B&#x00E4;ckhed</surname> <given-names>F.</given-names></name></person-group> (<year>2017</year>). <article-title>Metformin alters the gut microbiome of individuals with treatment-naive type 2 diabetes, contributing to the therapeutic effects of the drug</article-title>. <source>Nat. Med.</source> <volume>23</volume>, <fpage>850</fpage>&#x2013;<lpage>858</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nm.4345</pub-id>, PMID: <pub-id pub-id-type="pmid">28530702</pub-id></citation></ref>
<ref id="ref42"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname> <given-names>J.-Y.</given-names></name> <name><surname>Lee</surname> <given-names>Y.-S.</given-names></name> <name><surname>Kim</surname> <given-names>Y.</given-names></name> <name><surname>Lee</surname> <given-names>S.-H.</given-names></name> <name><surname>Ryu</surname> <given-names>S.</given-names></name> <name><surname>Fukuda</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Gut commensal <italic>Bacteroides acidifaciens</italic> prevents obesity and improves insulin sensitivity in mice</article-title>. <source>Mucosal Immunol.</source> <volume>10</volume>, <fpage>104</fpage>&#x2013;<lpage>116</lpage>. doi: <pub-id pub-id-type="doi">10.1038/mi.2016.42</pub-id>, PMID: <pub-id pub-id-type="pmid">27118489</pub-id></citation></ref>
<ref id="ref43"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yin</surname> <given-names>J.</given-names></name> <name><surname>Li</surname> <given-names>Y.</given-names></name> <name><surname>Han</surname> <given-names>H.</given-names></name> <name><surname>Chen</surname> <given-names>S.</given-names></name> <name><surname>Gao</surname> <given-names>J.</given-names></name> <name><surname>Liu</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Melatonin reprogramming of gut microbiota improves lipid dysmetabolism in high-fat diet-fed mice</article-title>. <source>J. Pineal Res.</source> <volume>65</volume>, <fpage>1</fpage>&#x2013;<lpage>18</lpage>. doi: <pub-id pub-id-type="doi">10.1111/jpi.12524</pub-id>, PMID: <pub-id pub-id-type="pmid">30230594</pub-id></citation></ref>
<ref id="ref44"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yoo</surname> <given-names>J.</given-names></name> <name><surname>Kim</surname> <given-names>S.</given-names></name></person-group> (<year>2016</year>). <article-title>Probiotics and prebiotics: present status and future perspectives on metabolic disorders</article-title>. <source>Nutrients</source> <volume>8</volume>:<fpage>173</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu8030173</pub-id>, PMID: <pub-id pub-id-type="pmid">26999199</pub-id></citation></ref>
<ref id="ref45"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Younossi</surname> <given-names>Z. M.</given-names></name></person-group> (<year>2019</year>). <article-title>Non-alcoholic fatty liver disease: a global public health perspective</article-title>. <source>J. Hepatol.</source> <volume>70</volume>, <fpage>531</fpage>&#x2013;<lpage>544</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jhep.2018.10.033</pub-id>, PMID: <pub-id pub-id-type="pmid">30414863</pub-id></citation></ref>
<ref id="ref46"><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname> <given-names>J.</given-names></name> <name><surname>Wittouck</surname> <given-names>S.</given-names></name> <name><surname>Salvetti</surname> <given-names>E.</given-names></name> <name><surname>Franz</surname> <given-names>C. M. A. P.</given-names></name> <name><surname>Harris</surname> <given-names>H. M. B.</given-names></name> <name><surname>Mattarelli</surname> <given-names>P.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>A taxonomic note on the genus <italic>Lactobacillus</italic>: description of 23 novel genera, emended description of the genus <italic>Lactobacillus</italic> Beijerinck 1901, and union of <italic>Lactobacillaceae</italic> and <italic>Leuconostocaceae</italic></article-title>. <source>Int. J. Syst. Evol. Microbiol.</source> <volume>70</volume>, <fpage>2782</fpage>&#x2013;<lpage>2858</lpage>. doi: <pub-id pub-id-type="doi">10.1099/ijsem.0.004107</pub-id>, PMID: <pub-id pub-id-type="pmid">32293557</pub-id></citation></ref></ref-list>
</back>
</article>