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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2024.1362694</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Clinical Trial</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Probiotic supplementation for 24&#x2009;weeks in patients with non-alcoholic steatohepatitis: the PROBILIVER randomized clinical trial</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Silva-Sperb</surname> <given-names>Amanda Souza</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Moraes</surname> <given-names>Helena Abadie</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Barcelos</surname> <given-names>Samantha Thifani Alrutz</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>de Moura</surname> <given-names>Bruna Concheski</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Longo</surname> <given-names>Larisse</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Michalczuk</surname> <given-names>Matheus Truccolo</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Cerski</surname> <given-names>Carlos Thadeu Schmidt</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Uribe-Cruz</surname> <given-names>Carolina</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>da Silveira</surname> <given-names>Themis Reverbel</given-names></name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
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<name><surname>&#x00C1;lvares-da-Silva</surname> <given-names>M&#x00E1;rio Reis</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Dall&#x2019;Alba</surname> <given-names>Valesca</given-names></name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Graduate Program in Gastroenterology and Hepatology, Universidade Federal do Rio Grande do Sul</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Experimental Laboratory of Hepatology and Gastroenterology, Experimental Research Center, Hospital de Cl&#x00ED;nicas de Porto Alegre</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<aff id="aff3"><sup>3</sup><institution>Division of Gastroenterology, Hospital de Cl&#x00ED;nicas de Porto Alegre</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>Unit of Surgical Pathology, Hospital de Cl&#x00ED;nicas de Porto Alegre</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<aff id="aff5"><sup>5</sup><institution>Nutrition Division, Hospital de Cl&#x00ED;nicas de Porto Alegre</institution>, <addr-line>Porto Alegre</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Sabrina Alves Fernandes, Federal University of Health Sciences of Porto Alegre, Brazil</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Kangxiao Guo, Changsha Health Vocational College, China</p>
<p>Denisse Castro-Eguiluz, National Council of Science and Technology (CONACYT), Mexico</p>
<p>Fabiano Haraguchi, Federal University of Espirito Santo, Brazil</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Valesca Dall&#x2019;Alba, <email>valba@hcpa.edu.br</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>03</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1362694</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Silva-Sperb, Moraes, Barcelos, de Moura, Longo, Michalczuk, Cerski, Uribe-Cruz, da Silveira, &#x00C1;lvares-da-Silva and Dall&#x2019;Alba.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Silva-Sperb, Moraes, Barcelos, de Moura, Longo, Michalczuk, Cerski, Uribe-Cruz, da Silveira, &#x00C1;lvares-da-Silva and Dall&#x2019;Alba</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background and aim</title>
<p>Considering the increasing prevalence of non-alcoholic steatohepatitis (NASH) and treatment gaps, this study aimed to evaluate the effect of probiotic supplementation on liver function markers, nutritional status, and clinical parameters.</p>
</sec>
<sec>
<title>Methods</title>
<p>This double-blind, randomized clinical trial (<ext-link xlink:href="http://ClinicalTrials.gov" ext-link-type="uri">ClinicalTrials.gov</ext-link> ID: NCT0346782) included adult outpatients with biopsy-proven NASH. The intervention consisted of 24&#x2009;weeks of supplementation with the probiotic mix <italic>Lactobacillus acidophilus</italic> (1&#x2009;&#x00D7;&#x2009;10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Lactobacillus rhamnosus</italic> (1&#x2009;&#x00D7;&#x2009;10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Lactobacillus paracasei</italic> (1&#x2009;&#x00D7;&#x2009;10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Bifidobacterium lactis</italic> (1&#x2009;&#x00D7;&#x2009;10<sup>9</sup>&#x2009;CFU), or placebo, twice a day. The following parameters were evaluated: demographic and clinical data, transient elastography (FibroScan), liver enzymes, NAFLD <italic>fibrosis score</italic>, fatty liver index, laboratory assessment, serum concentration of toll-like receptor-4 (sTLR-4) and cytokeratin 18 (CK-18), anthropometric data, dietary intake, and physical activity. Regarding data analysis, the comparison between the groups was based on the delta of the difference of each variable analyzed (value at the end of treatment minus the baseline value) using the <italic>t</italic>-test for independent samples or the Mann&#x2013;Whitney <italic>U</italic>-test.</p>
</sec>
<sec>
<title>Results</title>
<p>Forty-four patients with NASH completed the trial (51.4&#x2009;&#x00B1;&#x2009;11.6&#x2009;years). At baseline, 87% of participants had a mild liver fibrosis degree on biopsy, normal values of liver enzymes, transient elastography values consistent with grade 1 fibrosis in both groups, increased waist circumference (WC), a BMI of 30.97&#x2009;kg/m<sup>2</sup>, and 76% presented with metabolic syndrome (MetS). After the intervention, no differences were observed between the probiotic and placebo groups in terms of MetS, WC, BMI scores, or liver enzyme levels (<italic>p</italic>&#x2009;&#x003E;&#x2009;0.05 for all). The elastography values remained consistent with grade 1 fibrosis in both groups. Although CK-18 was reduced in both groups, a larger effect size was noted in the probiotic group (<italic>D</italic>&#x2009;=&#x2009;1.336). sTLR-4 was also reduced in both groups, with no difference between groups (<italic>p</italic>&#x2009;=&#x2009;0.885).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Intervention with probiotics in the early stages of NASH demonstrated no significant change in hepatic and clinical parameters.</p>
</sec>
<sec>
<title>Clinical trial registration</title>
<p><ext-link xlink:href="http://ClinicalTrials.gov" ext-link-type="uri">ClinicalTrials.gov</ext-link>, identifier NCT0346782.</p>
</sec>
</abstract>
<kwd-group>
<kwd>non-alcoholic fatty liver disease</kwd>
<kwd>probiotics</kwd>
<kwd>toll-like receptor-4</kwd>
<kwd>cytokeratin 18</kwd>
<kwd>metabolic syndrome</kwd>
<kwd>microbiota</kwd>
<kwd>metabolic dysfunction-associated steatotic liver disease</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="13"/>
<word-count count="8597"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>Non-alcoholic fatty liver disease (NAFLD) and its progressive form of non-alcoholic steatohepatitis (NASH) are considered hepatic manifestations of metabolic syndrome (MetS) (<xref ref-type="bibr" rid="ref1">1</xref>). Recently, NAFLD was renamed metabolic dysfunction-associated steatotic liver disease (MASLD) (<xref ref-type="bibr" rid="ref2">2</xref>). The disease affects approximately a quarter of the world&#x2019;s population and is associated with a sedentary lifestyle and a western diet. Thus far, lifestyle changes constitute the first line of treatment, as there is yet no specific pharmacological treatment approved for the disease (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>).</p>
<p>It is important to understand the pathogenesis of the disease and the role of the intestinal microbiota in its progression, which may pave the way to discovering new therapies and strategies to control NAFLD. Gut microbiota (GM) has been identified as a potential therapeutic target for patients with NASH (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>), as studies have shown changes in the intestinal microbiota of patients with NAFLD and NASH (<xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref7">7</xref>). A relatively high abundance of genera <italic>Fusobacteria</italic> and a low abundance of genera <italic>Oscillospira</italic> and <italic>Ruminococcus</italic> of the family <italic>Ruminococcaceae</italic> and <italic>Coprococcus</italic> of the family <italic>Lachnospiraceae</italic> were found more in NAFLD patients in parallel with healthy individuals (<xref ref-type="bibr" rid="ref8">8</xref>). Other bacterial species found in these patients were Proteobacteria, Escherichia, and Enterobacteria (<xref ref-type="bibr" rid="ref9">9</xref>), and Bacteroides were more common in NASH patients in parallel with healthy individuals (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>Studies with probiotics have shown benefits in reducing levels of liver enzymes, triglycerides (TGs), low-density lipoprotein cholesterol (LDL-c), steatosis severity, pro-inflammatory cytokines, and even in obesity parameters, such as reduction of visceral and body fat (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). In this context, a recent systematic review followed by a meta-analysis (<xref ref-type="bibr" rid="ref13">13</xref>), which included 18 RCTs on interventions with probiotic mix (intervention period ranged from 2 to 14&#x2009;months), demonstrated the effectiveness of these interventions in reducing steatosis (assessed through ultrasound), showing a slight reduction in fibrosis (assessed through elastography), as well as a decrease in levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gamma-glutamyl transferase (GGT). However, the authors state that more studies are necessary due to significant heterogeneity in the probiotic strains used, dosages, and formulations. Another recent systematic review, followed by a meta-analysis (<xref ref-type="bibr" rid="ref14">14</xref>), evaluated the effect of probiotics on NAFLD parameters and also demonstrated an effect on parameters such as reduction of ALT and AST, serum lipids, glucose, and insulin. In this study, the authors included 21 RCTs, and the intervention time varied from 8 to 56&#x2009;weeks, with more important effects being observed in studies lasting 12&#x2009;weeks or longer.</p>
<p>Microbiota dysbiosis is a contributing factor to the disease pathogenesis, related to intestinal barrier dysfunction and increased permeability, exposing the liver to microbial translocation (<xref ref-type="bibr" rid="ref5">5</xref>). This process activates toll-like receptor 4 (TLR-4), causing an inflammatory response in the liver and initiating the inflammatory cascade (<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>Biopsy is the gold standard for NASH, although it is still considered a risky procedure. Less invasive tests, such as serum cytokeratin 18 (CK-18), have been proposed as promising alternatives to liver biopsy to diagnose NASH and monitor disease progression and response to therapy (<xref ref-type="bibr" rid="ref15">15</xref>). In addition, scores such as the NAFLD fibrosis score, APRI score, and fat liver index are widely used and have the advantage of not being invasive (<xref ref-type="bibr" rid="ref16">16</xref>&#x2013;<xref ref-type="bibr" rid="ref19">19</xref>). Considering the high prevalence of NASH in the population and the existing gaps in its treatment, this randomized study aimed to evaluate the effect of 24&#x2009;weeks mix probiotic supplementation [<italic>Lactobacillus acidophilus</italic> (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Lactobacillus rhamnosus</italic> (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Lactobacillus paracasei</italic> (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Bifidobacterium lactis</italic> (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU)] on liver function markers and clinical parameters in NASH patients.</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<p>This study is a single-center, randomized, double-blind, placebo-controlled clinical trial that included adult subjects at an outpatient clinic of the Gastroenterology and Nutrition and Dietetic Division of Hospital de Cl&#x00ED;nicas de Porto Alegre, Brazil. The study included only patients with proven liver biopsy NASH (NAS &#x2265;4), defined as the presence of &#x2265;5% of hepatic steatosis and inflammation with hepatocyte injury, with or without fibrosis, and the absence of causes for secondary hepatic fat accumulation, according to the American Association for the Study of Liver Diseases (AASLD) (<xref ref-type="bibr" rid="ref1">1</xref>). We investigated the history of alcohol use, hemochromatosis, or Wilson disease, and the history of hepatotoxic drug use. Patients who met the inclusion criteria were enrolled after signing written informed consent. Patients with human immunodeficiency virus, hepatitis B or hepatitis C virus infection, cirrhosis, pregnancy, liver transplantation, supplements and foods with probiotics, immunosuppressants, antibiotic use in the last 6&#x2009;months, and any other chronic inflammatory diseases were excluded.</p>
<p>This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving human subjects were approved by the ethics and research committee of the <italic>Hospital de Cl&#x00ED;nicas de Porto Alegre</italic> (Approval Number 16-0438). The protocol was registered at <ext-link xlink:href="http://ClinicalTrials.gov" ext-link-type="uri"><italic>ClinicalTrials.gov</italic></ext-link> under the identifier NCT03467282. Written informed consent was obtained from all subjects.</p>
<sec id="sec3">
<title>Intervention</title>
<p>Patients were randomized to an intervention or a placebo group in a numerical sequence on the <ext-link xlink:href="http://randomization.com" ext-link-type="uri"><italic>randomization.com</italic></ext-link> website. Patients from the intervention group received probiotic supplementation consisting of a 1&#x2009;g-sachet containing <italic>Lactobacillus acidophilus</italic> NCFM (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Lactobacillus rhamnosus</italic> HN001 (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU)&#x2009;+&#x2009;<italic>Lactobacillus paracasei</italic> LPC-37 (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU)&#x2009;+ <italic>Bifidobacterium lactis</italic> HN019 (1 &#x00D7; 10<sup>9</sup>&#x2009;CFU). Patients from the control group received a 1&#x2009;g sachet with an identical appearance (physical and organoleptic) containing polydextrose/maltodextrin as the placebo. They were instructed to ingest two sachets diluted in water at room temperature daily, before the first meal of the day, for 24&#x2009;weeks.</p>
<p>During the entire clinical trial period, including the data analysis stage, patients and investigators were blinded to the composition of the sachet content. Only an external researcher had access to this information, and it was only revealed at the end of the study which group each patient belonged to.</p>
<p>All the patients received a spreadsheet to mark the intake of the sachets and write down any symptoms to control their adherence to the treatment. Patients who completed 90% of the recommended treatment were considered in compliance.</p>
<p>In the first visit, patients received general guidance on nutrition, not an individualized plan, and were also instructed to maintain their usual level of physical activity so that this would not be a confounding factor for later interpretation of the results of the intervention. Subsequently, in intermediate visits (days 45, 90, and 135), patients were encouraged to talk about food consumption and daily activities in the last few days in order to identify any changes in the pattern. At these moments, it was again reinforced that the usual standard was maintained.</p>
<p><xref ref-type="fig" rid="fig1">Figure 1</xref> schematically summarizes the study&#x2019;s logistics, including recruitment, randomization, patients&#x2019; visiting frequency, and procedures performed at each moment. Full details of the trial protocol and study design have been previously described (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study&#x2019;s logistics&#x2014;detailing participants&#x2019; recruitment, randomization, allocation, and methods.</p>
</caption>
<graphic xlink:href="fnut-11-1362694-g001.tif"/>
</fig>
</sec>
<sec id="sec4">
<title>Clinical evaluation</title>
<p>The data collection protocol includes demographic and clinical data, medications in use, alcohol intake (with significant intake defined as &#x003E;20&#x2009;g/day for men and &#x003E;10&#x2009;g/day for women) (<xref ref-type="bibr" rid="ref22">22</xref>), and smoking status. In addition, details of the disease diagnosis (liver biopsy and transient elastography) were recorded.</p>
<p>The MetS was defined as the presence of &#x2265;3 of the criteria presented according to the <italic>International Diabetes Federation, American Heart Association,</italic> and <italic>National Heart Institute</italic> (IDF/AHA/NHLBI) (<xref ref-type="bibr" rid="ref23">23</xref>). For waist circumference (WC), we used the database of the ELSA-Brazil study (men &#x2265;92&#x2009;cm, women &#x2265;86&#x2009;cm) (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
</sec>
<sec id="sec5">
<title>Assessment of fibrosis, liver fat, and liver function markers</title>
<p>Before the beginning of the protocol, all patients underwent a liver biopsy to confirm the diagnosis of NASH and determine the degree of fibrosis. We obtained biopsy results for a maximum of 2&#x2009;years before the start of the intervention. At baseline and the end of the study, participants underwent transient elastography (FibroScan), measurements of liver enzymes, and assessments of serum concentrations of CK-18 and sTLR-4. In addition, the scores were also applied to determine the risk of fibrosis and steatosis.</p>
<p>Transient elastography (FibroScan) was performed in all the patients, and the fibrosis degree was assessed and measured in kilopascals (kPa). The higher the velocity, the greater the stiffness, and the greater the extent of the fibrosis (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>). We only considered examinations with &#x2265;10 reliable results, median interquartile range (IQR) values below 30%, and results of transient elastography up to a maximum of 6&#x2009;months before the intervention. Experienced gastroenterologists performed the imaging examinations (MM and SB).</p>
<p>The immunoenzymatic assay method (ELISA) determined the serum concentration of sTLR-4 (Elabscience, United States) and CK-18 (Elabscience, United States). A spectrophotometer measured the absorbance at a wavelength of 450&#x2009;nm (Zenyth 200 rt), and the results were expressed in ng/mL and mIU/mL for sTLR-4 and CK-18, respectively. All the processes were performed according to the manufacturer&#x2019;s instructions, and the analyses were duplicated.</p>
<p>Liver function was assessed through laboratory tests. AST, ALT, GGT, bilirubin, and alkaline phosphatase were measured in the HCPA Laboratory routine on the Cobas Mira Plus equipment through a commercial kit.</p>
<p>To assess liver fibrosis risk, we performed the NAFLD fibrosis score, based on age, BMI, presence of diabetes mellitus (DM) or impaired fasting glucose, AST, ALT, platelet, and albumin levels, and the APRI score, which includes AST and platelet count. The steatosis risk was assessed by the fatty liver index (FLI), using BMI, WC, GGT, and TGs levels. The scores were calculated using <ext-link xlink:href="http://MDCalc.com" ext-link-type="uri">MDCalc.com</ext-link>.</p>
</sec>
<sec id="sec6">
<title>Lipidic, glycemic, and inflammatory profile assessment</title>
<p>The laboratory assessment included measuring lipid profiles [TGs, total cholesterol (TC), HDL cholesterol (HDL), and LDL cholesterol (LDL)] using the colorimetric enzymatic method; levels of other relevant indices such as C-reactive protein (CRP) were measured by nephelometry using a Bayer<sup>&#x00AE;</sup> nephelometer; insulin levels were measured by electrochemiluminescence (Elecsys 2010 Equipment); glucose was measured by the colorimetric enzymatic method glucose-peroxidase-Biodiagnostic Kit; homeostasis model assessment of insulin resistance (HOMA-IR) was calculated; albumin and creatinine were measured using a commercial kit in the Cobas Mira Plus equipment. Serum was obtained by centrifugation and stored at &#x2212;80&#x00B0;C. Quantification of the biomarkers was performed using ELISA according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="sec7">
<title>Anthropometric assessment</title>
<p>The anthropometric assessment included weight and height measurements for calculating the body mass index (BMI). The WC was measured between the last rib and the iliac crest with an inextensible fiberglass tape measure.</p>
</sec>
<sec id="sec8">
<title>Dietary intake assessment</title>
<p>Dietary intake was checked by a 3&#x2009;days diet record, describing the foods eaten on three non-consecutive days (two weekdays and one weekend day). The patients were oriented on filling it correctly, portion sizes, and details of the consumed foods. The NutriBase&#x00AE; software, 2007, calculated the records.</p>
</sec>
<sec id="sec9">
<title>Physical-activity level</title>
<p>The study applied the International Physical Activity Questionnaire&#x2014;short form (IPAQ) to evaluate the weekly time spent on physical exercise. The values were expressed as metabolic equivalent of tasks (METs) in minutes per week (<xref ref-type="bibr" rid="ref27">27</xref>).</p>
</sec>
<sec id="sec10">
<title>Statistical analysis</title>
<p>The sample size estimation was carried out in WINPEPI 11.20 (Brixton Health, Israel), based on the data from Eslamparast et al. (<xref ref-type="bibr" rid="ref28">28</xref>) which found a mean reduction in fibrosis score from 9.36&#x2009;&#x00B1;&#x2009;1.9 to 6.38&#x2009;&#x00B1;&#x2009;1.5 in NAFLD patients taking symbiotic supplementation (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, compared to placebo).</p>
<p>Regarding data treatment, categorical variables were expressed as absolute frequency (<italic>n</italic>) and relative frequency (%), and quantitative variables were expressed as the mean&#x2009;&#x00B1;&#x2009;SD or median and IQRs (25th to 75th percentile). To check the changes that occurred in each group over the 24&#x2009;weeks, the paired <italic>t</italic>-test or Wilcoxon test was used. Finally, the comparison between the groups was based on the delta of the difference of each variable analyzed (value at the end of treatment minus the baseline value) using the <italic>t</italic>-test for independent samples or the Mann&#x2013;Whitney <italic>U</italic>-test.</p>
<p>To verify the magnitude of the effect size (<italic>D</italic>) in the probiotic group and the placebo group, the following reference values were considered: from 0.2 to 0.4 (small effect), from 0.5 to 0.7 (medium effect), and from 0.8 to &#x2265;1.0 (large effect) (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>The level of statistical significance was taken as a <italic>p</italic>-value of &#x003C;0.05. The data were analyzed using the Statistical Package for Social Sciences version 20.0 (SPSS Inc., United States).</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<title>Results</title>
<p>The flowchart in <xref ref-type="fig" rid="fig2">Figure 2</xref> shows 85 eligible patients who underwent ultrasonography, indicating steatosis and had clinical characteristics compatible with NASH, 39 patients left the trial, 38 patients did not have NASH upon biopsy, and 1 patient withdrew from participating in the research protocol. Therefore, 46 patients with NASH were randomized, and a total of 44 subjects completed the clinical trial and were analyzed.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>CONSORT flowchart detailing participants&#x2019; recruitment, randomization, and allocation.</p>
</caption>
<graphic xlink:href="fnut-11-1362694-g002.tif"/>
</fig>
<p><xref ref-type="table" rid="tab1">Table 1</xref> presents the patients&#x2019; demographic and clinical baseline data. As for the number of MetS components, at baseline, 16 patients in the probiotic group and 19 patients in the placebo group had three or more components (<italic>p</italic>&#x2009;=&#x2009;0.428). Over the 24&#x2009;weeks, this proportion did not change in any group; specifically, 17 (77.3%) vs. 18 (81.9%), <italic>p</italic>&#x2009;=&#x2009;0.927 (data not shown in table).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Baseline characteristics of NASH patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">All patients (<italic>n</italic> =&#x2009;46)</th>
<th align="center" valign="top">Placebo group (<italic>n</italic> =&#x2009;23)</th>
<th align="center" valign="top">Probiotic group (<italic>n</italic> =&#x2009;23)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Female&#x2014;<italic>n</italic> (%)</td>
<td align="center" valign="middle">27 (58.70%)</td>
<td align="center" valign="middle">12 (52.00%)</td>
<td align="center" valign="middle">15 (65.00%)</td>
<td align="char" valign="middle" char=".">0.369</td>
</tr>
<tr>
<td align="left" valign="middle">Age (years)</td>
<td align="center" valign="middle">51.35&#x2009;&#x00B1;&#x2009;11.61</td>
<td align="center" valign="middle">51.74&#x2009;&#x00B1;&#x2009;11.94</td>
<td align="center" valign="middle">50.95&#x2009;&#x00B1;&#x2009;11.53</td>
<td align="char" valign="middle" char=".">0.983</td>
</tr>
<tr>
<td align="left" valign="middle">Waist circumference (cm)</td>
<td align="center" valign="middle">104.70&#x2009;&#x00B1;&#x2009;12.00</td>
<td align="center" valign="middle">104.30&#x2009;&#x00B1;&#x2009;11.00</td>
<td align="center" valign="middle">105.10&#x2009;&#x00B1;&#x2009;13.20</td>
<td align="char" valign="middle" char=".">0.807</td>
</tr>
<tr>
<td align="left" valign="middle">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="middle">30.97 (28.36&#x2013;33.75)</td>
<td align="center" valign="middle">30.80 (28.36&#x2013;36.96)</td>
<td align="center" valign="middle">31.14 (28.09&#x2013;33.75)</td>
<td align="char" valign="middle" char=".">0.947</td>
</tr>
<tr>
<td align="left" valign="middle">Diabetes mellitus</td>
<td align="center" valign="middle">22.00 (47.80%)</td>
<td align="center" valign="middle">13.00 (56.50%)</td>
<td align="center" valign="middle">9.00 (39.10%)</td>
<td align="char" valign="middle" char=".">0.376</td>
</tr>
<tr>
<td align="left" valign="middle">High blood pressure</td>
<td align="center" valign="middle">30.00 (65.20%)</td>
<td align="center" valign="middle">14.00 (60.90%)</td>
<td align="center" valign="middle">16.00 (69.60%)</td>
<td align="char" valign="middle" char=".">0.758</td>
</tr>
<tr>
<td align="left" valign="middle">MetS</td>
<td align="center" valign="middle">35 (76.10%)</td>
<td align="center" valign="middle">19 (82.60%)</td>
<td align="center" valign="middle">16 (69.60%)</td>
<td align="char" valign="middle" char=".">0.491</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5"><bold>Number of MetS components&#x2014;<italic>n</italic> (%)</bold></td>
</tr>
<tr>
<td align="left" valign="middle">1</td>
<td align="center" valign="middle">3 (6.50%)</td>
<td align="center" valign="middle">2 (8.70%)</td>
<td align="center" valign="middle">1 (4.30%)</td>
<td align="char" valign="middle" char="." rowspan="5">0.428</td>
</tr>
<tr>
<td align="left" valign="middle">2</td>
<td align="center" valign="middle">8 (17.40%)</td>
<td align="center" valign="middle">2 (8.70%)</td>
<td align="center" valign="middle">6 (26.10%)</td>
</tr>
<tr>
<td align="left" valign="middle">3</td>
<td align="center" valign="middle">14 (30.40%)</td>
<td align="center" valign="middle">8 (34.80%)</td>
<td align="center" valign="middle">6 (26.10%)</td>
</tr>
<tr>
<td align="left" valign="middle">4</td>
<td align="center" valign="middle">10 (21.70%)</td>
<td align="center" valign="middle">4 (17.40%)</td>
<td align="center" valign="middle">6 (26.10%)</td>
</tr>
<tr>
<td align="left" valign="middle">5</td>
<td align="center" valign="middle">11 (23.90%)</td>
<td align="center" valign="middle">7 (30.40%)</td>
<td align="center" valign="middle">4 (17.40%)</td>
</tr>
<tr>
<td align="left" valign="middle" colspan="5"><bold>Degree of fibrosis</bold><sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="middle">F0</td>
<td align="center" valign="middle">12 (26.00%)</td>
<td align="center" valign="middle">8 (34.80%)</td>
<td align="center" valign="middle">4 (17.40%)</td>
<td align="char" valign="middle" char="." rowspan="4">0.376</td>
</tr>
<tr>
<td align="left" valign="middle">F1</td>
<td align="center" valign="middle">28 (61.00%)</td>
<td align="center" valign="middle">12 (15.52%)</td>
<td align="center" valign="middle">16 (69.60%)</td>
</tr>
<tr>
<td align="left" valign="middle">F2</td>
<td align="center" valign="middle">1 (2.00%)</td>
<td align="center" valign="middle">0 (0%)</td>
<td align="center" valign="middle">1 (4.30%)</td>
</tr>
<tr>
<td align="left" valign="middle">F3</td>
<td align="center" valign="middle">5 (11.00%)</td>
<td align="center" valign="middle">3 (13.00%)</td>
<td align="center" valign="middle">2 (8.70%)</td>
</tr>
<tr>
<td align="left" valign="middle">Glucose (mg/dL)</td>
<td align="center" valign="middle">102.00 (88.00&#x2013;122.00)</td>
<td align="center" valign="middle">108.00 (97.00&#x2013;144.00)</td>
<td align="center" valign="middle">94.00 (95.00&#x2013;115.00)</td>
<td align="char" valign="middle" char="."><bold>0.035</bold></td>
</tr>
<tr>
<td align="left" valign="middle">HbA1c %</td>
<td align="center" valign="middle">5.80 (5.40&#x2013;6.60)</td>
<td align="center" valign="middle">5.80 (5.30&#x2013;7.20)</td>
<td align="center" valign="middle">5.70 (5.40&#x2013;6.40)</td>
<td align="char" valign="middle" char=".">0.562</td>
</tr>
<tr>
<td align="left" valign="middle">Triglycerides (mg/dL)</td>
<td align="center" valign="middle">145.00 (120.00&#x2013;230.00)</td>
<td align="center" valign="middle">146.00 (102.00&#x2013;231.00)</td>
<td align="center" valign="middle">143.00 (121.00&#x2013;230.00)</td>
<td align="char" valign="middle" char=".">0.775</td>
</tr>
<tr>
<td align="left" valign="middle">Total cholesterol (mg/dL)</td>
<td align="center" valign="middle">176.00&#x2009;&#x00B1;&#x2009;36.00</td>
<td align="center" valign="middle">173.00&#x2009;&#x00B1;&#x2009;41.00</td>
<td align="center" valign="middle">179.00&#x2009;&#x00B1;&#x2009;32.00</td>
<td align="char" valign="middle" char=".">0.604</td>
</tr>
<tr>
<td align="left" valign="middle">HDL cholesterol (mg/dL)</td>
<td align="center" valign="middle">45.00 (37.00&#x2013;52.00)</td>
<td align="center" valign="middle">42.00 (37.00&#x2013;46.00)</td>
<td align="center" valign="middle">48 (35&#x2013;53)</td>
<td align="char" valign="middle" char=".">0.231</td>
</tr>
<tr>
<td align="left" valign="middle">LDL cholesterol (mg/dL)</td>
<td align="center" valign="middle">98.30&#x2009;&#x00B1;&#x2009;31.38</td>
<td align="center" valign="middle">97.13&#x2009;&#x00B1;&#x2009;37.45</td>
<td align="center" valign="middle">99.73&#x2009;&#x00B1;&#x2009;22.88</td>
<td align="char" valign="middle" char=".">0.788</td>
</tr>
<tr>
<td align="left" valign="middle">Insulin (&#x03BC;UI/mL)</td>
<td align="center" valign="middle">15.1 (12&#x2013;24.4)</td>
<td align="center" valign="middle">14 (12&#x2013;23.3)</td>
<td align="center" valign="middle">18.3 (12.1&#x2013;24.4)</td>
<td align="char" valign="middle" char=".">0.512</td>
</tr>
<tr>
<td align="left" valign="middle">ALT (U/L)</td>
<td align="center" valign="middle">42 (28&#x2013;63)</td>
<td align="center" valign="middle">44 (35&#x2013;63)</td>
<td align="center" valign="middle">36 (22&#x2013;75)</td>
<td align="char" valign="middle" char=".">0.258</td>
</tr>
<tr>
<td align="left" valign="middle">AST (U/L)</td>
<td align="center" valign="middle">32 (24&#x2013;46)</td>
<td align="center" valign="middle">32 (24&#x2013;44)</td>
<td align="center" valign="middle">29 (22&#x2013;51)</td>
<td align="char" valign="middle" char=".">0.545</td>
</tr>
<tr>
<td align="left" valign="middle">GGT (U/L)</td>
<td align="center" valign="middle">46 (28&#x2013;84)</td>
<td align="center" valign="middle">48 (28&#x2013;81)</td>
<td align="center" valign="middle">43 (28&#x2013;105)</td>
<td align="char" valign="middle" char=".">0.974</td>
</tr>
<tr>
<td align="left" valign="middle">Alkaline phosphatase (U/L)</td>
<td align="center" valign="middle">77 (66&#x2013;90)</td>
<td align="center" valign="middle">71 (63&#x2013;85)</td>
<td align="center" valign="middle">80 (68&#x2013;96)</td>
<td align="char" valign="middle" char=".">0.368</td>
</tr>
<tr>
<td align="left" valign="middle">Total bilirubin (U/L)</td>
<td align="center" valign="middle">0.50 (0.40&#x2013;0.70)</td>
<td align="center" valign="middle">0.50 (0.40&#x2013;0.80)</td>
<td align="center" valign="middle">0.40 (0.30&#x2013;0.60)</td>
<td align="char" valign="middle" char=".">0.219</td>
</tr>
<tr>
<td align="left" valign="middle">CRP (g/dL)</td>
<td align="center" valign="middle">2 (1&#x2013;7)</td>
<td align="center" valign="middle">2 (1&#x2013;7)</td>
<td align="center" valign="middle">2 (1&#x2013;5)</td>
<td align="char" valign="middle" char=".">0.830</td>
</tr>
<tr>
<td align="left" valign="middle">CK-18 (mIU/mL)</td>
<td align="center" valign="middle">841.50&#x2009;&#x00B1;&#x2009;320.07</td>
<td align="center" valign="middle">757.95&#x2009;&#x00B1;&#x2009;343.87</td>
<td align="center" valign="middle">925.04&#x2009;&#x00B1;&#x2009;276.95</td>
<td align="char" valign="middle" char=".">0.076</td>
</tr>
<tr>
<td align="left" valign="middle">sTLR-4 (ng/mL)</td>
<td align="center" valign="middle">9.25 (5.17&#x2013;16.48)</td>
<td align="center" valign="middle">11.81 (5.17&#x2013;20.61)</td>
<td align="center" valign="middle">7.75 (4.46&#x2013;13.35)</td>
<td align="char" valign="middle" char=".">0.199</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Categorical variables data were expressed as absolute frequency (<italic>n</italic>) and relative frequency (%). Quantitative variables are expressed as the mean&#x2009;&#x00B1;&#x2009;SD or median and interquartile ranges (25th to 75th percentile). BMI, body mass index; MetS, metabolic syndrome; HbA1 c%, glycosylated hemoglobin; HDL, high-density lipoprotein; LDL, low-density lipoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; GGT, gamma-glutamyltransferase; CRP, C-reactive protein; CK-18, cytokeratin 18; sTLR-4, soluble toll-like receptor-4; <sup>&#x002A;</sup>liver biopsy. Reference values for normality&#x2014;ALT (&#x2640;&#x2009;&#x003C;&#x2009;33&#x2009;U/L; &#x2642;&#x2009;&#x003C;&#x2009;41&#x2009;U/L); AST (&#x2640;&#x2009;&#x003C;&#x2009;32&#x2009;U/L; &#x2642;&#x2009;&#x003C;&#x2009;40&#x2009;U/L); GGT (&#x2640;&#x2009;&#x003C;&#x2009;40&#x2009;U/L; &#x2642;&#x2009;&#x003C;&#x2009;60&#x2009;U/L); alkaline phosphatase (&#x2640;: 35&#x2013;104&#x2009;U/L; &#x2642;: 40&#x2013;129&#x2009;U/L); total bilirubin &#x003C;1.2&#x2009;mg/dL.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab2">Table 2</xref> shows the clinical characteristics and biochemical parameters before and after 24&#x2009;weeks. There were no changes in the NAFLD fibrosis score, APRI score, or FLI after the intervention, whereas the biomarkers, CK-18, and sTLR-4 were reduced in both. However, there was no statistical difference between the groups. CK-18 showed a reduction in the probiotic group, and this result was subjected to effect size analysis, finding a large effect (<italic>D</italic>&#x2009;=&#x2009;1.336) when compared to the placebo group (<italic>D</italic>&#x2009;=&#x2009;0.536). Regarding the sTLR-4 analysis, the values showed a smaller difference (<italic>D</italic>&#x2009;=&#x2009;0.476 in the probiotic group and <italic>D</italic>&#x2009;=&#x2009;0.510 in the placebo group).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Clinical characteristics of NASH patients before and after intervention.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Baseline</th>
<th align="center" valign="top">After 24&#x2009;weeks</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Mean change deltas</th>
<th align="center" valign="top"><italic>p</italic>-value<sup>c</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6"><bold>Transient elastography (kPa)</bold><sup>&#x002A;</sup></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;20)</td>
<td align="center" valign="top">7.80 (6.20&#x2013;11.20)</td>
<td align="center" valign="top">7.40 (5.60&#x2013;11.10)</td>
<td align="center" valign="top">0.575<sup>a</sup></td>
<td align="center" valign="top">&#x2212;0.40 [(&#x2212;1.20) to 1.30]</td>
<td align="center" valign="top" rowspan="2">0.577</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">7.70 (5.80&#x2013;9.50)</td>
<td align="center" valign="top">6.90 (6.40&#x2013;10.50)</td>
<td align="center" valign="top">0.244<sup>b</sup></td>
<td align="center" valign="top">&#x2212;0.50 [(&#x2212;1.90) to 0.70]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>NAFLD fibrosis score</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">&#x2212;1.81&#x2009;&#x00B1;&#x2009;1.52</td>
<td align="center" valign="top">&#x2212;1.57&#x2009;&#x00B1;&#x2009;1.57</td>
<td align="center" valign="top">0.053<sup>a</sup></td>
<td align="center" valign="top">0.23&#x2009;&#x00B1;&#x2009;0.52</td>
<td align="center" valign="top" rowspan="2">0.612</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">&#x2212;1.30&#x2009;&#x00B1;&#x2009;1.51</td>
<td align="center" valign="top">&#x2212;1.17&#x2009;&#x00B1;&#x2009;1.32</td>
<td align="center" valign="top">0.411<sup>b</sup></td>
<td align="center" valign="top">0.13&#x2009;&#x00B1;&#x2009;0.75</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>APRI score</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">0.39 (0.28&#x2013;0.74)</td>
<td align="center" valign="top">0.44 (0.24&#x2013;0.56)</td>
<td align="center" valign="top">0.410<sup>a</sup></td>
<td align="center" valign="top">0.02 [(&#x2212;0.10) to 0.08]</td>
<td align="center" valign="top" rowspan="2">0.565</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">0.48 (0.37&#x2013;0.62)</td>
<td align="center" valign="top">0.46 (0.30&#x2013;0.66)</td>
<td align="center" valign="top">0.386<sup>b</sup></td>
<td align="center" valign="top">&#x2212;0.02 [(&#x2212;0.08) to 0.13]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Fat liver index</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">85.00 (65.00&#x2013;90.00)</td>
<td align="center" valign="top">83.00 (52.00&#x2013;93.00)</td>
<td align="center" valign="top">0.600<sup>a</sup></td>
<td align="center" valign="top">0.00 [(&#x2212;11) to 8.00]</td>
<td align="center" valign="top" rowspan="2">0.534</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;19)</td>
<td align="center" valign="top">89.00 (75.00&#x2013;95.50)</td>
<td align="center" valign="top">88.00 (73.50&#x2013;97.00)</td>
<td align="center" valign="top">0.655<sup>b</sup></td>
<td align="center" valign="top">0.00 [(&#x2212;5.00) to 1.00]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>CK-18 (mIU/mL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">913.75&#x2009;&#x00B1;&#x2009;277.10</td>
<td align="center" valign="top">640.83&#x2009;&#x00B1;&#x2009;246.85</td>
<td align="center" valign="top"><bold>&#x003C;0.001</bold><sup>a</sup></td>
<td align="center" valign="top">&#x2212;272.91&#x2009;&#x00B1;&#x2009;204.29</td>
<td align="center" valign="top">0.109</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">769.50&#x2009;&#x00B1;&#x2009;323.48</td>
<td align="center" valign="top">610.10&#x2009;&#x00B1;&#x2009;259.10</td>
<td align="center" valign="top"><bold>0.020</bold><sup>b</sup></td>
<td align="center" valign="top">&#x2212;158.53&#x2009;&#x00B1;&#x2009;295.48</td>
<td align="center" valign="top">0.143</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>sTLR-4 (ng/mL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">11.02&#x2009;&#x00B1;&#x2009;7.01</td>
<td align="center" valign="top">8.99&#x2009;&#x00B1;&#x2009;5.36</td>
<td align="center" valign="top">0.053<sup>a</sup></td>
<td align="center" valign="top">&#x2212;2.03&#x2009;&#x00B1;&#x2009;4.27</td>
<td align="center" valign="top">0.885</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">13.28&#x2009;&#x00B1;&#x2009;7.84</td>
<td align="center" valign="top">11.26&#x2009;&#x00B1;&#x2009;6.94</td>
<td align="center" valign="top"><bold>0.026</bold><sup>b</sup></td>
<td align="center" valign="top">&#x2212;2.02&#x2009;&#x00B1;&#x2009;3.10</td>
<td align="center" valign="top">0.993</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>ALT (U/L)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">39.00 (23.00&#x2013;75.00)</td>
<td align="center" valign="top">32.50 (21&#x2013;71)</td>
<td align="center" valign="top">0.831<sup>a</sup></td>
<td align="center" valign="top">&#x2212;2 [(&#x2212;7) to 4]</td>
<td align="center" valign="top" rowspan="2">0.549</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">45.00 (36.00&#x2013;63.00)</td>
<td align="center" valign="top">38.50 (32&#x2013;48)</td>
<td align="center" valign="top">0.163<sup>b</sup></td>
<td align="center" valign="top">&#x2212;4 [(&#x2212;16) to 5]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>AST (U/L)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">32.00 (22.00&#x2013;51.00)</td>
<td align="center" valign="top">29.00 (22.00&#x2013;52.00)</td>
<td align="center" valign="top">0.864<sup>a</sup></td>
<td align="center" valign="top">0.50 [(&#x2212;9) to 3]</td>
<td align="center" valign="top" rowspan="2">0.473</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">32.00 (25.00&#x2013;44.00)</td>
<td align="center" valign="top">28.00 (23.00&#x2013;37.00)</td>
<td align="center" valign="top">0.114<sup>b</sup></td>
<td align="center" valign="top">&#x2212;3.50 [(&#x2212;10) to 2]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>GGT (U/L)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">40.00 (28.00&#x2013;94.00)</td>
<td align="center" valign="top">43.50 (24.00&#x2013;87.00)</td>
<td align="center" valign="top">0.776<sup>a</sup></td>
<td align="center" valign="top">&#x2212;1 [(&#x2212;4) to 3]</td>
<td align="center" valign="top" rowspan="2">0.060</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;20)</td>
<td align="center" valign="top">50.00 (34.50&#x2013;82.50)</td>
<td align="center" valign="top">44.00 (30.50&#x2013;71.50)</td>
<td align="center" valign="top">0.378<sup>b</sup></td>
<td align="center" valign="top">&#x2212;5 [(&#x2212;9) to 0.50]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Alkaline phosphatase (U/L)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">79.00 (68.00&#x2013;92.00)</td>
<td align="center" valign="top">73.00 (57.00&#x2013;91.00)</td>
<td align="center" valign="top">0.325<sup>a</sup></td>
<td align="center" valign="top">&#x2212;4 [(&#x2212;8) to 2]</td>
<td align="center" valign="top" rowspan="2">0.481</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">71.00 (63.00&#x2013;85.00)</td>
<td align="center" valign="top">72.00 (59.00&#x2013;77.00)</td>
<td align="center" valign="top">0.172<sup>b</sup></td>
<td align="center" valign="top">&#x2212;4 [(&#x2212;10) to 1]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Total bilirubin (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">0.45 (0.30&#x2013;0.60)</td>
<td align="center" valign="top">0.45 (0.30&#x2013;0.60)</td>
<td align="center" valign="top">0.684<sup>a</sup></td>
<td align="center" valign="top">0 [(&#x2212;0.10) to 0.10]</td>
<td align="center" valign="top" rowspan="2">0.605</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">0.50 (0.40&#x2013;0.70)</td>
<td align="center" valign="top">0.50 (0.40&#x2013;0.70)</td>
<td align="center" valign="top">0.256<sup>b</sup></td>
<td align="center" valign="top">0 [(&#x2212;0.10) to 0.10]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Direct bilirubin (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">0.20 (0.10&#x2013;0.30)</td>
<td align="center" valign="top">0.20 (0.20&#x2013;0.20)</td>
<td align="center" valign="top">0.414<sup>a</sup></td>
<td align="center" valign="top">0 (0&#x2013;0)</td>
<td align="center" valign="top" rowspan="2">0.818</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">0.20 (0.20&#x2013;0.30)</td>
<td align="center" valign="top">0.20 (0.20&#x2013;0.30)</td>
<td align="center" valign="top">0.180<sup>b</sup></td>
<td align="center" valign="top">0 (0&#x2013;0)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Indirect bilirubin (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">0.30 (0.20&#x2013;0.30)</td>
<td align="center" valign="top">0.30 (0.20&#x2013;0.40)</td>
<td align="center" valign="top">0.666<sup>a</sup></td>
<td align="center" valign="top">0 [(&#x2212;0.10&#x2013;0.10)]</td>
<td align="center" valign="top" rowspan="2">0.580</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">0.30 (0.20&#x2013;0.50)</td>
<td align="center" valign="top">0.30 (0.20&#x2013;0.40)</td>
<td align="center" valign="top">0.465<sup>b</sup></td>
<td align="center" valign="top">0 [(&#x2212;0.10&#x2013;0.10)]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Insulin (&#x03BC;UI/mL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">17.80 (12.10&#x2013;22.10)</td>
<td align="center" valign="top">14.60 (13.20&#x2013;20.00)</td>
<td align="center" valign="top">0.850<sup>a</sup></td>
<td align="center" valign="top">0.50 [(&#x2212;3.40) to 2.40]</td>
<td align="center" valign="top" rowspan="2">0.715</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;20)</td>
<td align="center" valign="top">14.20 (12.40&#x2013;25.90)</td>
<td align="center" valign="top">13.05 (10.05&#x2013;23.15)</td>
<td align="center" valign="top">0.836<sup>b</sup></td>
<td align="center" valign="top">&#x2212;0.25 [(&#x2212;3.90) to 2.30]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>HOMA-IR</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">74.34 (48.78&#x2013;104.86)</td>
<td align="center" valign="top">65.83 (48.32&#x2013;114.92)</td>
<td align="center" valign="top">0.332<sup>a</sup></td>
<td align="center" valign="top">2.91 [(&#x2212;10.53) to 18.53]</td>
<td align="center" valign="top" rowspan="2">0.339</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;20)</td>
<td align="center" valign="top">77.49 (58.98&#x2013;105.40)</td>
<td align="center" valign="top">68.86 (53.64&#x2013;117.99)</td>
<td align="center" valign="top">0.877<sup>b</sup></td>
<td align="center" valign="top">&#x2212;0.04 [(&#x2212;34.71) to 14.96]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Glucose (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">95 (85&#x2013;115)</td>
<td align="center" valign="top">98.50 (86&#x2013;128)</td>
<td align="center" valign="top">0.850<sup>a</sup></td>
<td align="center" valign="top">&#x2212;1.50 [(&#x2212;10) to 12]</td>
<td align="center" valign="top" rowspan="2">0.543</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">109 (100&#x2013;144)</td>
<td align="center" valign="top">115 (99&#x2013;134)</td>
<td align="center" valign="top">0.532<sup>b</sup></td>
<td align="center" valign="top">&#x2212;4 [(&#x2212;13) to 10]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Triglycerides (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">142.00 (121.00&#x2013;207.00)</td>
<td align="center" valign="top">172.50 (114.00&#x2013;201.00)</td>
<td align="center" valign="top">0.287<sup>a</sup></td>
<td align="center" valign="top">4.50 [(&#x2212;30) to 41]</td>
<td align="center" valign="top" rowspan="2">0.366</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">144.00 (102.00&#x2013;230.00)</td>
<td align="center" valign="top">135.00 (112.00&#x2013;184.00)</td>
<td align="center" valign="top">0.587<sup>b</sup></td>
<td align="center" valign="top">&#x2212;15 [(&#x2212;44) to 34]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Total cholesterol (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">179.00&#x2009;&#x00B1;&#x2009;32.00</td>
<td align="center" valign="top">184.24&#x2009;&#x00B1;&#x2009;42.49</td>
<td align="center" valign="top">0.194<sup>a</sup></td>
<td align="center" valign="top">4.57&#x2009;&#x00B1;&#x2009;21.99</td>
<td align="center" valign="top" rowspan="2">0.392</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">173.00&#x2009;&#x00B1;&#x2009;42.00</td>
<td align="center" valign="top">172.23&#x2009;&#x00B1;&#x2009;44.17</td>
<td align="center" valign="top">0.375<sup>b</sup></td>
<td align="center" valign="top">&#x2212;1.50&#x2009;&#x00B1;&#x2009;23.99</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>HDL cholesterol (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">48.00 (35.00&#x2013;53.00)</td>
<td align="center" valign="top">45.50 (41.00&#x2013;56.00)</td>
<td align="center" valign="top">0.897<sup>a</sup></td>
<td align="center" valign="top">1 [(&#x2212;3) to 3]</td>
<td align="center" valign="top" rowspan="2">1.000</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;22)</td>
<td align="center" valign="top">42.00 (37.00&#x2013;46.00)</td>
<td align="center" valign="top">43.50 (38.00&#x2013;47.00)</td>
<td align="center" valign="top">0.815<sup>b</sup></td>
<td align="center" valign="top">1 [(&#x2212;5) to 5]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>LDL cholesterol (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">101.19&#x2009;&#x00B1;&#x2009;22.71</td>
<td align="center" valign="top">105.28&#x2009;&#x00B1;&#x2009;28.11</td>
<td align="center" valign="top">0.733<sup>a</sup></td>
<td align="center" valign="top">&#x2212;1.36 [(&#x2212;8.24) to 11.88]</td>
<td align="center" valign="top">0.794</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">98.42&#x2009;&#x00B1;&#x2009;37.86</td>
<td align="center" valign="top">97.44&#x2009;&#x00B1;&#x2009;36.74</td>
<td align="center" valign="top">0.475<sup>b</sup></td>
<td align="center" valign="top">0.34 [(&#x2212;8.70) to 11]</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Creatinine (mg/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">0.83&#x2009;&#x00B1;&#x2009;0.20</td>
<td align="center" valign="top">0.83&#x2009;&#x00B1;&#x2009;0.18</td>
<td align="center" valign="top">0.384<sup>a</sup></td>
<td align="center" valign="top">0.02 [(&#x2212;0.02) to 0.04]</td>
<td align="center" valign="top" rowspan="2">0.782</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">0.81&#x2009;&#x00B1;&#x2009;0.16</td>
<td align="center" valign="top">0.82&#x2009;&#x00B1;&#x2009;0.16</td>
<td align="center" valign="top">0.520<sup>b</sup></td>
<td align="center" valign="top">0.01 [(&#x2212;0.03) to 0.05]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Albumin (g/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;19)</td>
<td align="center" valign="top">4.70&#x2009;&#x00B1;&#x2009;0.40</td>
<td align="center" valign="top">4.60&#x2009;&#x00B1;&#x2009;0.26</td>
<td align="center" valign="top">0.228<sup>a</sup></td>
<td align="center" valign="top">&#x2212;0.10&#x2009;&#x00B1;&#x2009;0.26</td>
<td align="center" valign="top" rowspan="2">0.812</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;20)</td>
<td align="center" valign="top">4.70&#x2009;&#x00B1;&#x2009;0.30</td>
<td align="center" valign="top">4.64&#x2009;&#x00B1;&#x2009;0.29</td>
<td align="center" valign="top">0.064<sup>b</sup></td>
<td align="center" valign="top">&#x2212;0.05&#x2009;&#x00B1;&#x2009;0.24</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>CRP (g/dL)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;19)</td>
<td align="center" valign="top">2.00 (1.00&#x2013;4.00)</td>
<td align="center" valign="top">3.10 (1.20&#x2013;4.30)</td>
<td align="center" valign="top">0.856<sup>a</sup></td>
<td align="center" valign="top">&#x2212;0.10 [(&#x2212;0.60) to 1.10]</td>
<td align="center" valign="top" rowspan="2">0.339</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;19)</td>
<td align="center" valign="top">3.00 (2.00&#x2013;8.00)</td>
<td align="center" valign="top">4.10 (1.70&#x2013;7.20)</td>
<td align="center" valign="top">0.593<sup>b</sup></td>
<td align="center" valign="top">0.40 [(&#x2212;0.70) to 3.95]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Platelets (&#x03BC;L)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">240.00&#x2009;&#x00B1;&#x2009;58.00</td>
<td align="center" valign="top">237.29&#x2009;&#x00B1;&#x2009;62.06</td>
<td align="center" valign="top">0.144<sup>a</sup></td>
<td align="center" valign="top">&#x2212;2.67&#x2009;&#x00B1;&#x2009;19.63</td>
<td align="center" valign="top" rowspan="2">0.258</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;21)</td>
<td align="center" valign="top">226.00&#x2009;&#x00B1;&#x2009;55.00</td>
<td align="center" valign="top">214.10&#x2009;&#x00B1;&#x2009;53.45</td>
<td align="center" valign="top">0.364<sup>b</sup></td>
<td align="center" valign="top">&#x2212;11.90&#x2009;&#x00B1;&#x2009;31.24</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Variables are expressed as the mean&#x2009;&#x00B1;&#x2009;SD or median and interquartile ranges (25th to 75th percentile). The mean change deltas may not total the subtraction because of the normality of the variable. <sup>&#x002A;</sup>kPa, klilopascals&#x2014;FibroScan; CK-18, cytokeratin 18; sTLR-4, soluble toll-like receptor-4; ALT, alanine aminotransferase; AST, aspartate aminotransferase; GGT, gamma-glutamyltransferase; HOMA-IR, homeostasis model assessment of insulin resistance; HDL, high-density lipoprotein; LDL, low-density lipoprotein; CRP, C-reactive protein. <sup>a</sup><italic>p</italic>-value referring to the changes that occurred within the probiotic group over the 24&#x2009;weeks (paired <italic>t</italic>-test or Wilcoxon test). <sup>b</sup><italic>p</italic>-value referring to the changes that occurred within the placebo group over the 24&#x2009;weeks (paired <italic>t</italic>-test or Wilcoxon test). <sup>c</sup><italic>p</italic>-value mean change deltas between groups (<italic>t</italic>-test for independent samples or Mann&#x2013;Whitney <italic>U</italic>-test).</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab3">Table 3</xref> presents the anthropometric characteristics before and after the intervention. No differences between the groups were observed after treatment.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Anthropometric characteristics of NASH patients before and after intervention.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Baseline</th>
<th align="center" valign="top">After 24&#x2009;weeks</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Mean change deltas</th>
<th align="center" valign="top"><italic>p</italic>-value<sup>c</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6"><bold>Weight (kg)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group</td>
<td align="center" valign="top">83.45&#x2009;&#x00B1;&#x2009;16.50</td>
<td align="center" valign="top">83.64&#x2009;&#x00B1;&#x2009;15.55</td>
<td align="center" valign="top">0.726<sup>a</sup></td>
<td align="center" valign="top">0.50 (0&#x2013;1)</td>
<td align="center" valign="top">0.274</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group</td>
<td align="center" valign="top">87.41&#x2009;&#x00B1;&#x2009;17.59</td>
<td align="center" valign="top">87.23&#x2009;&#x00B1;&#x2009;18.16</td>
<td align="center" valign="top">0.702<sup>b</sup></td>
<td align="center" valign="top">0 [(&#x2212;2) to 1]</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>BMI (kg/m</bold><sup><bold>2</bold></sup><bold>)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group</td>
<td align="center" valign="top">30.92 (28.09&#x2013;33.24)</td>
<td align="center" valign="top">30.70 (28.01&#x2013;33.75)</td>
<td align="center" valign="top">0.524<sup>a</sup></td>
<td align="center" valign="top">0.18 (0.00&#x2013;0.43)</td>
<td align="center" valign="top">0.219</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group</td>
<td align="center" valign="top">31.16 (29.05&#x2013;36.92)</td>
<td align="center" valign="top">30.81 (28.70&#x2013;35.70)</td>
<td align="center" valign="top">0.714<sup>b</sup></td>
<td align="center" valign="top">0.00 [(&#x2212;0.70) to 0.43]</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Waist circumference (cm)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group</td>
<td align="center" valign="top">103.6&#x2009;&#x00B1;&#x2009;11.20</td>
<td align="center" valign="top">103.52&#x2009;&#x00B1;&#x2009;10.12</td>
<td align="center" valign="top">0.913<sup>a</sup></td>
<td align="center" valign="top">&#x2212;0.08&#x2009;&#x00B1;&#x2009;3.28</td>
<td align="center" valign="top">0.875</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group</td>
<td align="center" valign="top">104.7&#x2009;&#x00B1;&#x2009;11.10</td>
<td align="center" valign="top">104.76&#x2009;&#x00B1;&#x2009;11.06</td>
<td align="center" valign="top">0.905<sup>b</sup></td>
<td align="center" valign="top">0.05&#x2009;&#x00B1;&#x2009;2.12</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Variables are expressed as the mean&#x2009;&#x00B1;&#x2009;SD or median and interquartile ranges (25th to 75th percentile). The mean change deltas may not total the subtraction because of the normality of the variable. BMI, body mass index. <sup>a</sup><italic>p</italic>-value referring to the changes that occurred within the probiotic group over the 24&#x2009;weeks (paired <italic>t</italic>-test or Wilcoxon test). <sup>b</sup><italic>p</italic>-value referring to the changes that occurred within the placebo group over the 24&#x2009;weeks (paired <italic>t</italic>-test or Wilcoxon test). <sup>c</sup><italic>p</italic>-value mean change deltas between groups (<italic>t</italic>-test for independent samples or Mann&#x2013;Whitney <italic>U</italic>-test).</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab4">Table 4</xref> shows the patients&#x2019; dietary intake characteristics before and after the intervention. There was a significant reduction in energy, carbohydrates, proteins, and lipid intake in the probiotic group and a significant reduction just in cholesterol intake in the placebo group, but when one group was compared to the other, these differences were not significant.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Diet of NASH patients before and after intervention.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Baseline</th>
<th align="center" valign="top">After 24&#x2009;weeks</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">Mean change</th>
<th align="center" valign="top"><italic>p</italic>-value<sup>c</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="6"><bold>Energy intake (kcal/day)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">2286.71 (2054.96&#x2013;2516.22)</td>
<td align="center" valign="top">1758.38 (1366.91&#x2013;2156.79)</td>
<td align="center" valign="top"><bold>0.013</bold><sup>a</sup></td>
<td align="center" valign="top">&#x2212;351&#x2009;&#x00B1;&#x2009;494.03</td>
<td align="center" valign="top" rowspan="2">0.744</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;16)</td>
<td align="center" valign="top">2286.67 (1708.74&#x2013;3071.52)</td>
<td align="center" valign="top">2139.47 (1920.46&#x2013;2442.13)</td>
<td align="center" valign="top">0.278<sup>b</sup></td>
<td align="center" valign="top">&#x2212;289.00&#x2009;&#x00B1;&#x2009;716.56</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Carbohydrates (g/day)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">248.50 (221.50&#x2013;30.9.53)</td>
<td align="center" valign="top">195.00 (158.38&#x2013;233.90)</td>
<td align="center" valign="top"><bold>0.039</bold><sup>a</sup></td>
<td align="center" valign="top">&#x2212;50.89&#x2009;&#x00B1;&#x2009;94.45</td>
<td align="center" valign="top" rowspan="2">0.892</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;16)</td>
<td align="center" valign="top">289.40 (208.59&#x2013;381.27)</td>
<td align="center" valign="top">255.79 (216.86&#x2013;307.35)</td>
<td align="center" valign="top">0.148<sup>b</sup></td>
<td align="center" valign="top">&#x2212;46.28&#x2009;&#x00B1;&#x2009;89.33</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Protein (g/kg/day)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">1.40&#x2009;&#x00B1;&#x2009;0.47</td>
<td align="center" valign="top">1.06&#x2009;&#x00B1;&#x2009;0.30</td>
<td align="center" valign="top"><bold>0.014</bold><sup>a</sup></td>
<td align="center" valign="top">&#x2212;0.33&#x2009;&#x00B1;&#x2009;0.50</td>
<td align="center" valign="top" rowspan="2">0.374</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;16)</td>
<td align="center" valign="top">1.26&#x2009;&#x00B1;&#x2009;0.44</td>
<td align="center" valign="top">1.12&#x2009;&#x00B1;&#x2009;0.34</td>
<td align="center" valign="top">0.258<sup>b</sup></td>
<td align="center" valign="top">&#x2212;0.15&#x2009;&#x00B1;&#x2009;0.50</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Fat (g/day)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">86.88 (62.74&#x2013;92.96)</td>
<td align="center" valign="top">85.81 (74.70&#x2013;131.46)</td>
<td align="center" valign="top"><bold>0.049</bold><sup>a</sup></td>
<td align="center" valign="top">&#x2212;13.08[(&#x2212;53.60) to (0.08)]</td>
<td align="center" valign="top" rowspan="2">0.581</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;16)</td>
<td align="center" valign="top">100.27 (61.98&#x2013;120.67)</td>
<td align="center" valign="top">82.01 (74.12&#x2013;102.29)</td>
<td align="center" valign="top">0.278<sup>b</sup></td>
<td align="center" valign="top">3.11 [(&#x2212;53.58) to 21.92]</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Cholesterol (mg/day)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">344.14&#x2009;&#x00B1;&#x2009;157.71</td>
<td align="center" valign="top">284.99&#x2009;&#x00B1;&#x2009;141.94</td>
<td align="center" valign="top">0.263<sup>a</sup></td>
<td align="center" valign="top">&#x2212;59.16&#x2009;&#x00B1;&#x2009;210.26</td>
<td align="center" valign="top" rowspan="2">0.857</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;16)</td>
<td align="center" valign="top">354&#x2009;&#x00B1;&#x2009;163.23</td>
<td align="center" valign="top">285&#x2009;&#x00B1;&#x2009;117.71</td>
<td align="center" valign="top"><bold>0.018</bold><sup>b</sup></td>
<td align="center" valign="top">&#x2212;69.59&#x2009;&#x00B1;&#x2009;105.38</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><bold>Total fibers (g/day)</bold></td>
</tr>
<tr>
<td align="left" valign="top">Probiotic group (<italic>n</italic>&#x2009;=&#x2009;17)</td>
<td align="center" valign="top">17.76 (14.13&#x2013;25.62)</td>
<td align="center" valign="top">15.30 (14.22&#x2013;17.46)</td>
<td align="center" valign="top">0.124<sup>a</sup></td>
<td align="center" valign="top">&#x2212;4.73&#x2009;&#x00B1;&#x2009;11.19</td>
<td align="center" valign="top" rowspan="2">0.265</td>
</tr>
<tr>
<td align="left" valign="top">Placebo group (<italic>n</italic>&#x2009;=&#x2009;16)</td>
<td align="center" valign="top">17.58 (15.15&#x2013;30.20)</td>
<td align="center" valign="top">19.38 (16.56&#x2013;26.53)</td>
<td align="center" valign="top">0.756<sup>b</sup></td>
<td align="center" valign="top">&#x2212;0.12&#x2009;&#x00B1;&#x2009;12.12</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Variables are expressed as the mean&#x2009;&#x00B1;&#x2009;SD or median and interquartile ranges (25th to 75th percentile). The mean change deltas may not total the subtraction because of the normality of the variable. <sup>a</sup><italic>p</italic>-value referring to the changes that occurred within the probiotic group over the 24&#x2009;weeks (paired <italic>t</italic>-test or Wilcoxon test). <sup>b</sup><italic>p</italic>-value referring to the changes that occurred within the placebo group over the 24&#x2009;weeks (paired <italic>t</italic>-test or Wilcoxon test). <sup>c</sup><italic>p</italic>-value mean change deltas between groups (<italic>t</italic>-test for independent samples or Mann&#x2013;Whitney <italic>U</italic>-test).</p>
</table-wrap-foot>
</table-wrap>
<p>The physical activity was expressed as METs in minutes per week, showing no difference between the groups throughout the study (<italic>p</italic>&#x2009;=&#x2009;0.752). In the probiotic group, the baseline median was 834 (300&#x2013;2,118) min, and after the intervention, 773 (596&#x2013;2,718) min (<italic>p&#x2009;=</italic> 0.217). In the placebo group, the baseline median was 1,060 (299&#x2013;1,794) min, and after the intervention,1,020 (678&#x2013;2,810) min (<italic>p</italic>&#x2009;=&#x2009;0.181).</p>
</sec>
<sec id="sec12">
<title>Compliance and adverse effects</title>
<p>One patient in the probiotic group was considered non-compliant with the protocol; however, they were included in the intention-to-treat analysis. There were no reports of adverse events associated with the probiotic supplementation during the entire trial.</p>
</sec>
<sec sec-type="discussion" id="sec13">
<title>Discussion</title>
<p>NASH is currently known as the leading cause of liver transplantation. Its prevalence has increased along with the worldwide increase in obesity (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). Measures are necessary both to prevent the onset of NASH as well as to treat associated complications and prevent its progression to more severe forms (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). The purpose of the present study was to evaluate the effect of 24&#x2009;weeks probiotic supplementation in NASH patients on liver function markers, nutritional status, and clinical parameters. The 24&#x2009;weeks intervention with probiotics demonstrated that they do not promote a significant change in liver and clinical parameters.</p>
<p>Despite being young (average age 51&#x2009;years), NASH patients&#x2019; baseline demographic and clinical data showed increased WC, obesity, hypertension, and DM. These typical characteristics were present in almost 80% of the patients. There was no difference between the groups, showing the homogeneity of the sample to start the treatment, except for the lower glucose level in the group of probiotics, in which fewer patients were diagnosed with DM.</p>
<p>The patients&#x2019; routine diet and usual physical activities were assessed before and after treatment to ensure none of these factors interfered with the results. Although the dietary intervention was not our target, especially because we emphasized that patients should not change their consumption pattern over the 24&#x2009;weeks, the fact that they returned on days 45, 90, and 135 for follow-up probably caused &#x201C;greater attention.&#x201D; The research nutritionists were the ones providing the care, and this may have made them pay more attention to what they were eating. It is an unintentional effect over which we had no control since patients ate their meals in their own homes. Although all patients only received general dietary guidelines at the beginning of the study, they probably began to be more careful with their food choices, which may have affected the results. From a methodological point of view, with appropriate statistical treatment, it was observed that there was a significant reduction in the intake of calories, carbohydrates, proteins, and lipids in the probiotic group, while in the placebo group, only cholesterol intake showed a significant reduction. However, when the groups were compared to each other, these differences were not significant, that is, although there was a reduction in food intake, it was similar in both groups. This unintentional improvement in diet, which occurred in both groups, may have been the reason why it was not possible to observe differences in other parameters evaluated. Concerning physical activity, no difference between the groups was observed.</p>
<p>The RCTs with probiotics are quite heterogeneous, both in terms of intervention time, type of strains, and the amount administered (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref33">33</xref>&#x2013;<xref ref-type="bibr" rid="ref35">35</xref>). These differences between studies do not allow a generalized indication of probiotics as a treatment adjunct (<xref ref-type="bibr" rid="ref36">36</xref>). There are a lot of different strains, and the effects resulting from their administration can also be quite different (<xref ref-type="bibr" rid="ref11">11</xref>). Probiotics are expected to reconstitute a healthy microbiome, but the number of bacteria existing in the intestine is far greater than that offered by probiotics in the form of supplements (<xref ref-type="bibr" rid="ref36">36</xref>). It really makes sense to consider that the human intestine is inhabited by approximately 100 trillion bacteria, viruses, and fungi, forming a truly diverse ecosystem (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref37">37</xref>). Another important key point concerns the use of combinations of bacteria species at the expense of the use of a single strain. In a systematic review with 22 RCTs using probiotics in NAFLD patients (<xref ref-type="bibr" rid="ref34">34</xref>), 77.8% of interventions were carried out with a mix of probiotics, and only 4 studies were carried out with a single strain. The justification for a preferred prescription of a mixture of probiotics is that different strains have achieved better outcomes in RCTs and can act on different targets, achieving better results in reducing steatosis, fibrosis, AST, ALT, serum lipids, glucose, and insulin (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref38">38</xref>).</p>
<p>Despite the use of an accessible mixture of probiotic strains and a high supplemented amount, the expected effects were either very modest or not achieved. The biochemical levels of patients with NASH may be altered more according to the severity of the disease (<xref ref-type="bibr" rid="ref39">39</xref>). However, from a clinical point of view, considering baseline examinations, the patients included in the study were not poorly managed. Additionally, in relation to the degree of fibrosis and hepatic impairment, most patients had low fibrosis or levels close to normal (stage 1). These reasons may explain the absence of significant findings, as the treatment might have had limited effectiveness in reducing these parameters, including liver enzymes.</p>
<p>Despite being the gold standard for NASH diagnosis, liver biopsy is an invasive method that causes discomfort and may have some risks (<xref ref-type="bibr" rid="ref1">1</xref>). Thus, non-invasive tests such as scores and CK18 for screening and risk stratification of advanced liver fibrosis have gained increasing visibility (<xref ref-type="bibr" rid="ref15">15</xref>&#x2013;<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref40">40</xref>). CK-18 is the major intermediate filament protein comprising the cytoskeletal structure of hepatocytes. It turns out that during hepatocyte apoptosis, the effector caspase cleaves fragments of CK-18 in the bloodstream (<xref ref-type="bibr" rid="ref41">41</xref>), thus making it possible to evaluate its serum concentration. A recent study (<xref ref-type="bibr" rid="ref42">42</xref>) evaluated circulating levels of CK-18 in more than 1,000 patients from different centers who had a liver biopsy (153 with NAFL and 855 with NASH). There was an interaction between CK-18 levels and serum AST and BMI. Furthermore, CK-18 showed a positive association with histological NAS, but with unsatisfactory sensitivity and positive predictive value (55 and 59%, respectively), which led the authors to conclude that the isolated measurement of CK-18 would have limited value for the non-invasive diagnosis of NASH. In the present RCT, CK-18 concentration was evaluated and reduced after intervention in both groups. Although the probiotic group had a greater reduction in CK-18 values and a larger effect size, there was no difference between the groups. We believe that intensive monitoring during the protocol meant that the patients were more careful with their diet over the 24&#x2009;weeks, as both showed a reduction in calorie intake and macronutrients even without statistical differences between them.</p>
<p>We identified that there was a decrease in sTLR-4 after the intervention, but there was no significant difference between the groups. TLR-4 is a key immunological pathway activated by bacterial lipopolysaccharides that produce pro-inflammatory cytokines, inducing metabolic disorders and promoting greater liver damage in patients with NAFLD (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref44">44</xref>). A recent review addressed the role of TLR-4 in the development of NAFLD through the activation of the immune response of endotoxin-producing strains (<italic>Enterobacter cloacae</italic> B29, <italic>Escherichia coli</italic> PY102, and <italic>Klebsiella pneumoniae</italic> A7) (<xref ref-type="bibr" rid="ref45">45</xref>).</p>
<p>These receptors can recognize a variety of stimuli and thus initiate an immunological response through the formation of a protein complex. It is important to point out that all parallel TLR pathways compete and thus restrict each other&#x2019;s activation due to overlapping binding sites (<xref ref-type="bibr" rid="ref46">46</xref>). A limitation of our study was that the evaluation was restricted to the soluble form of TLR-4. This soluble form might even be considered an anti-inflammatory marker since these soluble receptors neutralize ligands and are negative regulators of inflammation (<xref ref-type="bibr" rid="ref46">46</xref>). Ideally, it would be necessary to identify the multiprotein complex to confirm that an inflammatory response is occurring.</p>
<p>After 24&#x2009;weeks of the intervention, it was impossible to perceive a decrease in fibrosis or liver fat through the assessed scores. Following our results, symbiotic supplementation for 12&#x2009;months also had no impact on the NAFLD fibrosis score (<xref ref-type="bibr" rid="ref47">47</xref>). However, a 2&#x2009;years lifestyle intervention resulted in a reduction in the NAFLD fibrosis score, weight, WC, and liver enzymes (<xref ref-type="bibr" rid="ref48">48</xref>).</p>
<p>Similar to our study, but with a much smaller sample size (<xref ref-type="bibr" rid="ref49">49</xref>), a study using a probiotic mix twice a day for 24&#x2009;weeks demonstrated a reduction in the intrahepatic fat content assessed by magnetic resonance imaging. However, the included patients had a degree of fibrosis equal to 2 or 3, had higher baseline values of intrahepatic fat, and were instructed to make lifestyle changes (diet and exercise). However, the glycemic and lipid profiles did not change, as in our study.</p>
<p>As for liver enzymes, unlike other authors, we could not demonstrate any significant reduction after treatment. In a brief report (<xref ref-type="bibr" rid="ref50">50</xref>), 15 NASH patients with altered hepatic enzymes received <italic>Acidophilus</italic> capsules (2 billion viable organisms) 3 times daily for 1&#x2009;month. They demonstrated a significant reduction in ALT (<italic>p</italic>&#x2009;&#x003C;&#x2009;0,001) and AST (<italic>p</italic>&#x2009;=&#x2009;0.03) levels when comparing the intervention group and control group; however, there was no alteration in the imaging examinations. Other authors reported a reduction in liver enzymes after the supplementation of probiotics (<xref ref-type="bibr" rid="ref51">51</xref>&#x2013;<xref ref-type="bibr" rid="ref53">53</xref>), but it is worth noting that the baseline values of all these patients were high.</p>
<p>In general, changes in anthropometric measures are not expected with probiotics, and Wong et al. (<xref ref-type="bibr" rid="ref49">49</xref>) and Behrouz et al. (<xref ref-type="bibr" rid="ref53">53</xref>) did not find changes in these parameters. However, Alisi et al. (<xref ref-type="bibr" rid="ref54">54</xref>) demonstrated a reduction in BMI after the supplementation of a high concentration of probiotic strains for 16&#x2009;weeks and Famouri et al. (<xref ref-type="bibr" rid="ref55">55</xref>) in WC and the weight of obese children after supplementing a mixture of probiotics for 12&#x2009;weeks. It is important to emphasize that in these two interventions, in addition to probiotics, the participants (children and adolescents) were prescribed a low-calorie diet or were encouraged to increase their daily activity, as well as improve their eating habits by increasing their intake of fruits and vegetables and reducing their consumption of fast food, high-fat meals, and sweet snacks.</p>
<p>As we did not find a change in the number of Mets components after supplementation, a more extended intervention would probably be necessary to achieve these effects. In this regard, Duseja et al. (<xref ref-type="bibr" rid="ref56">56</xref>) also did not succeed in this regard after a similar intervention.</p>
<p>This study has some solid points, including being a single-center, RCT, double-blind, and adhering to methodological guidelines. There was a minor loss of patients during the follow-up period. All patients underwent liver biopsy for the NASH diagnosis before starting the protocol and were followed up every 45&#x2009;days for reassessment and compliance monitoring. Nevertheless, the study presents a limited fibrosis assessment. No liver biopsy was performed at the end of the study, and not all the patients were suitable candidates for <italic>FibroScan</italic> due to BMI or central obesity.</p>
</sec>
<sec sec-type="conclusions" id="sec14">
<title>Conclusion</title>
<p>In conclusion, the 24&#x2009;weeks intervention with probiotics demonstrated that it does not promote a significant change in liver and clinical parameters for patients in the early stages of NASH. However, its use for disease prevention or in more advanced stages needs to be further evaluated.</p>
</sec>
<sec sec-type="data-availability" id="sec15">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec16">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Comit&#x00EA; de &#x00C9;tica em Pesquisa&#x2014;Hospital de Cl&#x00ED;nicas de Porto Alegre. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec17">
<title>Author contributions</title>
<p>AS-S: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Writing &#x2013; original draft. HM: Data curation, Formal analysis, Investigation, Methodology, Resources, Writing &#x2013; original draft. SB: Investigation, Methodology, Resources, Writing &#x2013; original draft. BM: Formal analysis, Investigation, Methodology, Writing &#x2013; original draft. LL: Formal analysis, Investigation, Methodology, Resources, Writing &#x2013; original draft. MM: Investigation, Methodology, Writing &#x2013; original draft. CC: Investigation, Methodology, Writing &#x2013; original draft. CU-C: Conceptualization, Funding acquisition, Methodology, Resources, Writing &#x2013; original draft. TS: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Writing &#x2013; original draft. M&#x00C1;-d-S: Investigation, Methodology, Resources, Conceptualization, Writing &#x2013; original draft. VD: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec19">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study is financed by the Research Funding and Incentive from the <italic>Hospital de Cl&#x00ED;nicas de Porto Alegre</italic> (FIPE/HCPA), Coordination for the Improvement of Higher Education Personnel (CAPES/PROAP), and the National Council for Scientific and Technological Development&#x2014;Brazil (CNPq, Universal 1/2016).</p>
</sec>
<ack>
<p>The authors would like to thank Farmoquimica (FQM), for supplying the probiotic and placebo, the Research Incentive Fund of <italic>Hospital de Cl&#x00ED;nicas de Porto Alegre</italic>, CNPq (National Counsel of Technological and Scientific Development), and CAPES (Coordination for the Improvement of Higher Education Personnel) for financial support.</p>
</ack>
<sec sec-type="COI-statement" id="sec20">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec21">
<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/fnut.2024.1362694/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2024.1362694/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.doc" id="SM1" mimetype="application/msword" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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</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>APRI</term><def><p>Aspartate aminotransferase to platelet ratio index</p></def></def-item>
<def-item><term>ASCVD</term><def><p>Atherosclerotic cardiovascular disease</p></def></def-item>
<def-item><term>BMI</term><def><p>Body mass index</p></def></def-item>
<def-item><term>BMR</term><def><p>Basal metabolism rate</p></def></def-item>
<def-item><term>CAP</term><def><p>Controlled attenuation parameter</p></def></def-item>
<def-item><term>CFU</term><def><p>Colony-forming units</p></def></def-item>
<def-item><term>CK-18</term><def><p>Cytokeratin 18</p></def></def-item>
<def-item><term>CRP</term><def><p>C-reactive protein</p></def></def-item>
<def-item><term>DM</term><def><p>Diabetes mellitus</p></def></def-item>
<def-item><term>GGT</term><def><p>Gamma-glutamyltransferase</p></def></def-item>
<def-item><term>GM</term><def><p>Gut microbiota</p></def></def-item>
<def-item><term>HbA1c</term><def><p>Glycosylated hemoglobin</p></def></def-item>
<def-item><term>HCPA</term><def><p>Hospital de Clinicas de Porto Alegre</p></def></def-item>
<def-item><term>HDL</term><def><p>High-density lipoprotein</p></def></def-item>
<def-item><term>IPAQ</term><def><p>International Physical Activity Questionnaire</p></def></def-item>
<def-item><term>LDL</term><def><p>Low-density lipoprotein</p></def></def-item>
<def-item><term>LPS</term><def><p>Bacterial lipopolysaccharide</p></def></def-item>
<def-item><term>MASLD</term><def><p>Metabolic dysfunction-associated steatotic liver disease</p></def></def-item>
<def-item><term>MetS</term><def><p>Metabolic syndrome</p></def></def-item>
<def-item><term>NAFLD</term><def><p>Non-alcoholic fatty liver disease</p></def></def-item>
<def-item><term>NASH</term><def><p>Non-alcoholic steatohepatitis</p></def></def-item>
<def-item><term>RCT</term><def><p>Randomized clinical trial</p></def></def-item>
<def-item><term>TC</term><def><p>Total cholesterol</p></def></def-item>
<def-item><term>TG</term><def><p>Triglycerides</p></def></def-item>
<def-item><term>TLR</term><def><p>Toll-like receptor</p></def></def-item>
<def-item><term>sTLR-4</term><def><p>Soluble toll-like receptor-4</p></def></def-item>
</def-list>
</glossary>
</back>
</article>