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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2023.1092077</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The effects of conjugated linoleic acid supplementation on inflammatory cytokines and adipokines in adults: A GRADE-assessed systematic review and dose&#x2013;response meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Rastgoo</surname>
<given-names>Samira</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1483685"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shimi</surname>
<given-names>Ghazaleh</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1847025"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shiraseb</surname>
<given-names>Farideh</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1928946"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Karbasi</surname>
<given-names>Ashkan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2089134"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ashtary-Larky</surname>
<given-names>Damoon</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2086757"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yousefi</surname>
<given-names>Mohsen</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Golalipour</surname>
<given-names>Elnaz</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Asbaghi</surname>
<given-names>Omid</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1720959"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zamani</surname>
<given-names>Mohammad</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Cellular and Molecular Nutrition, Faculty of Nutrition Science and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Research Committee, Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS)</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Clinical Biochemistry, School of Medicine, Hamadan University of Medical Sciences</institution>, <addr-line>Hamadan</addr-line>, <country>Iran</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences</institution>, <addr-line>Ahvaz</addr-line>, <country>Iran</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Faculty of Medicine, Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Cancer Research Center, Shahid Beheshti University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences</institution>, <addr-line>Tehran</addr-line>, <country>Iran</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Reinaldo B. Oria, Federal University of Ceara, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yanhua Zeng, University of South China, China; Iwona Rudkowska, Laval University, Canada</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Omid Asbaghi, <email xlink:href="mailto:omid.asbaghi@gmail.com">omid.asbaghi@gmail.com</email>;  Mohammad Zamani, <email xlink:href="mailto:md_zamany@yahoo.com">md_zamany@yahoo.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Nutritional Immunology, a section of the journal Frontiers in Immunology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1092077</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Rastgoo, Shimi, Shiraseb, Karbasi, Ashtary-Larky, Yousefi, Golalipour, Asbaghi and Zamani</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Rastgoo, Shimi, Shiraseb, Karbasi, Ashtary-Larky, Yousefi, Golalipour, Asbaghi and Zamani</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 aims</title>
<p>Many studies have investigated the effect of conjugated linoleic acid (CLA) supplementation on inflammatory cytokines and adipokines. However, the results of these studies are not consistent. Therefore, this systematic review and meta-analysis were designed to comprehensively evaluate the effect of CLA supplementation on inflammatory cytokines and adipokines.</p>
</sec>
<sec>
<title>Methods</title>
<p>Randomized controlled trials (RCTs) examining the effects of CLA supplementation on C-reactive protein (CRP), interleukin 6 (IL-6), tumor necrosis factor-alpha (TNF-&#x3b1;), adiponectin, and leptin, published up to March 2022, were identified through PubMed, SCOPUS, and ISI Web of Science databases. A random-effects model was used to calculate weighted mean differences (WMDs) with 95% confidence intervals (CI) for 42 studies that included 1,109 participants.</p>
</sec>
<sec>
<title>Results</title>
<p>Findings from 42 studies with 58 arms indicated that CLA supplementation significantly decreased IL-6 and TNF-&#x3b1; levels and also slightly increased CRP levels. However, adiponectin and leptin levels did not change after CLA supplementation. A subgroup analysis found that CLA supplementation reduced adiponectin and leptin in women.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our results demonstrated that CLA supplementation increased CRP levels and decreased TNF-&#x3b1; and IL-6 levels. Therefore, it seems that CLA can have both proinflammatory and anti-inflammatory roles.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</uri>, identifier (CRD42022331110).</p>
</sec>
</abstract>
<kwd-group>
<kwd>inflammation</kwd>
<kwd>cytokines</kwd>
<kwd>adipokines</kwd>
<kwd>conjugated linoleic acid</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="95"/>
<page-count count="24"/>
<word-count count="11211"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Inflammation is a protective reaction by an organism in response to injury, irritation, or infection that eliminates harmful stimuli and initiates the healing process (<xref ref-type="bibr" rid="B1">1</xref>). However, uncontrolled or unresolved inflammation can lead to tissue damage as well as the development of chronic inflammatory diseases, including type 2 diabetes, cardiovascular disease, cancer, etc. (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Therefore, the control and prevention of chronic inflammation should be considered in order to prevent some chronic diseases and even improve health.</p>
<p>Weight loss strategies such as dietary interventions and physical activity are commonly used as nonpharmacological interventions to combat and/or prevent proinflammatory conditions (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Despite the considerable benefits of pharmacological therapies, these may exert undesirable side effects and may not be tolerated by some individuals. On the other hand, they may cause drug resistance (reduction of efficiency) and even toxicity (<xref ref-type="bibr" rid="B6">6</xref>). Several studies have suggested that dietary strategies, such as certain supplements, can modulate inflammation. For example, a clinical trial has reported that magnesium and vitamin E co-supplementation led to a significant decrease in C-reactive protein (CRP) and a significant increase in total antioxidant capacity levels (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Another study has suggested that <sc>l</sc>-glutamine supplementation in the early period of COVID-19 infection may reduce inflammatory responses and boost the immune system (<xref ref-type="bibr" rid="B10">10</xref>). Therefore, it is practical to find nutraceuticals and natural compounds with anti-inflammatory effects that may serve as alternative therapies to pharmacological interventions.</p>
<p>Conjugated linoleic acid (CLA) is a collective term for geometric isomers of linoleic acid (C18:2, n-6). This polyunsaturated fatty acid has two double bonds separated by a methylene group. This conjugation of the double bond is generally in positions 9 and 11 or 10 and 12 and may be a cis or trans configuration. Depending on the position and geometry of the double bonds, several isomers of CLA have been identified, such as 9cis,11trans-CLA and 10trans,12cis-CLA (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Most of the beneficial properties of CLA are elicited by these two main isomers. For example, 10trans,12cis-CLA is involved in catabolic processes such as lipolysis and fat oxidation, whereas 9cis,11trans-CLA seems to be the active anabolic agent. In addition, based on the evidence, 10trans,12cis-CLA is thought to be anticarcinogenic, antiobesity, and antidiabetic, whereas 9cis,11trans-CLA is mainly anti-inflammatory (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>CLA is formed via biohydrogenation by bacterial enzymes known as catalyst, present in the intestine microbiota of ruminant mammals; hence, CLA is mainly found in their flesh and milk (<xref ref-type="bibr" rid="B14">14</xref>). Nonetheless, it is present in foods only in finite amounts; therefore, commercialized CLA supplements have been provided to offer potential benefits, such as reduction of body weight and total fat mass, anticancer effects including reducing tumor growth (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>), reducing insulin resistance, lipid disorders, and oxidative stress, improving liver function in nonalcoholic fatty liver (<xref ref-type="bibr" rid="B17">17</xref>), and immunomodulatory effects (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>A large number of studies have investigated the effect of CLA supplementation on inflammatory cytokines and adipokines. However, the results of these studies are contradictory. For instance, some studies have reported that CLA supplementation had no significant effect on leptin levels (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), whereas others found a significant decrease in serum leptin during CLA supplementation (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). CLA supplementation has even been shown to significantly increase serum leptin levels (<xref ref-type="bibr" rid="B25">25</xref>). Also, some studies have reported that CLA supplements lead to a decrease in adiponectin levels (<xref ref-type="bibr" rid="B26">26</xref>), while another study has reported that CLA supplements have little or no effect on adiponectin levels (<xref ref-type="bibr" rid="B27">27</xref>). However, Sneddon et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>) have reported that CLA supplementation was associated with a significant increase in serum adiponectin levels (12%) in young obese subjects. Furthermore, while one study has found that CLA supplementation may increase CRP and tumor necrosis factor-alpha (TNF-&#x3b1;) and marginally decrease interleukin-6 (IL-6), indicating a proinflammatory state (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>), a recent review article suggests that CLA may have an anti-inflammatory effect by reducing inflammatory mediators such as cytokines, particularly IL-6, TNF-&#x3b1;, IFN-&#x3b3;, and IL-1&#x3b2; (<xref ref-type="bibr" rid="B30">30</xref>). Therefore, due to the inconsistencies in previous studies, the present study sought to update previous meta-analyses in light of the plethora of new studies. Thus, the current meta-analysis sought to investigate the effects of CLA on inflammatory cytokines and adipokines in adults.</p>
</sec>
<sec id="s2">
<title>Method and materials</title>
<p>This systematic review has been conducted according to the PRISMA statement (<xref ref-type="bibr" rid="B31">31</xref>). The present study was registered at PROSPERO CRD42022331110.</p>
<sec id="s2_1">
<title>Search strategy</title>
<p>We conducted a comprehensive literature search in scientific databases such as PubMed/Medline, Scopus, Web of Science, EMBASE, the Cochrane databases, and Google Scholar to find relevant prospective studies on the effects of CLA supplementation on inflammatory cytokines, adiponectin, and leptin published up to March 2022. There were no restrictions on the length of time or language of publications. The Participant, Intervention, Comparison/Control, Outcome (PICOS) search framework was used (<xref ref-type="bibr" rid="B32">32</xref>), which stands for population (both healthy and unhealthy adults), intervention (CLA supplementation), comparison (placebo/control group), outcome (changes in CRP, IL-6, TNF, adiponectin, and leptin), and research design (parallel and crossover randomized clinical trials).</p>
<p>The combination of MESH and non-MESH terms were used for the search, as follows: (&#x201c;conjugated linoleic acid&#x201d; OR &#x201c;conjugated fatty acid&#x201d; OR &#x201c;boric acid&#x201d; OR &#x201c;rumenic acid&#x201d; OR &#x201c;CLA&#x201d;) AND (intervention OR &#x201c;intervention study&#x201d; OR &#x201c;intervention studies&#x201d; OR &#x201c;controlled trial&#x201d; OR randomized OR random OR randomly OR placebo OR &#x201c;randomized controlled trial&#x201d; OR &#x201c;randomized clinical trial&#x201d; OR RCT OR blinded OR &#x201c;double blind&#x201d; OR &#x201c;double blinded&#x201d; OR trial OR &#x201c;clinical trial&#x201d; OR trials OR &#x201c;Pragmatic Clinical Trial&#x201d; OR &#x201c;Cross-Over Studies&#x201d; OR &#x201c;Cross-Over&#x201d; OR &#x201c;cross-over study&#x201d; OR parallel OR &#x201c;parallel study&#x201d; OR &#x201c;parallel trial&#x201d;).</p>
</sec>
<sec id="s2_2">
<title>Study selection</title>
<p>By reading the titles, abstracts, and full text of the papers as needed, two researchers independently (FS and OA) chose the appropriate articles. The effects of CLA supplementation on inflammatory cytokines and adipokines variables in adults with different health statuses in all human randomized clinical trials)RCTs(.</p>
<p>We incorporated studies that satisfied the following criteria: (1) RCTs (parallel or crossover); (2) used oral intake of CLA; (3) examined the effects of CLA supplementation on CRP, IL-6, TNF-&#x3b1;, adiponectin, and leptin; (4) had an intervention duration of at least 2 weeks (RCTs with two or more eligible arms were considered as separate studies); (5) were performed on adults (&#x2265;18 years old); (6) provided means and standard deviations (SDs) for all outcome variables, or any other effect sizes from which the calculation of mean and SD was possible. The searches were limited to human studies with no language restrictions. Animal studies, reviews, <italic>in vitro</italic> research, research on kids and teenagers, grey literature, conference abstracts, opinion pieces, books, and RCTs without a placebo or control group were excluded. Studies that used CLA in combination with vitamins or minerals were also excluded.</p>
<p>In the present study, we searched for studies that assessed the effects of CLA supplementation on all inflammatory cytokines. After screening and finding eligible studies, we found that most studies evaluated CRP, IL-6, and TNF. In addition, a limited number of studies have evaluated other inflammatory factors such as IL-1 and IL-8. Therefore, we included studies that evaluated the effects of CLA on CRP, IL-6, and TNF.</p>
</sec>
<sec id="s2_3">
<title>Data extraction</title>
<p>After quickly skimming the titles, abstracts, and full text to choose the most pertinent research following a separate review of each qualifying RCT, the following data were gleaned by two independent researchers (OA and FS). Name of the first author, country of origin, year of publication, type of clinical trial, participant characteristics (mean age, body mass index (BMI), sex), randomization, blinding, sample size, number of participants in the intervention and control groups, type and dosage of supplemented CLA, duration of the study, and related data were extracted for additional measurements. The CLA dosages were converted to milligrams per day, whether they were given in grams per day or another unit.</p>
</sec>
<sec id="s2_4">
<title>Quality assessment</title>
<p>To rate the quality of the studies, the Cochrane Collaboration technique was utilized (<xref ref-type="bibr" rid="B33">33</xref>). Two researchers (SR and GS) independently assessed the methods, and any disagreements between their assessments were resolved through discussion. Each study was evaluated for any bias, including those caused by randomized sequence generation, allocation concealment, participant and staff blindness, outcome assessor blindness, insufficient outcome data, selective reporting, and other biases. Thus, three categories were established: high risk of bias (general risk of bias &gt; 2 high risks), low risk of bias (general risk of bias &lt; 2 high risks), and undetermined risk of bias (general risk of bias = 2 high risk).</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>Stata 11.0 was used to conduct the statistical analysis (Stata Corp, College Station, TX, USA). <italic>p</italic>-values &lt;0.05 were deemed statistically significant for all two-tailed tests. The pooled weighted mean difference (WMD) was calculated using a random-effects model to take into account any existing heterogeneity (due to the different intervention doses, duration, participant health, sample sizes, and length of intervention) developed by Der Simonian and Laird (<xref ref-type="bibr" rid="B34">34</xref>). We computed the mean differences in CRP, IL-6, TNF-&#x3b1;, adiponectin, and leptin between the CLA supplementation and control groups from the preintervention to the postintervention. Formula: SD = square root [(SD at baseline)<sup>2</sup> + (SD at end of study)<sup>2</sup> (2rSD at baseline, SD at end of study)] was used to get the SD of the mean difference (<xref ref-type="bibr" rid="B35">35</xref>). For RTCs that only provided standard error of the mean (SEM) information, SD was determined using the following formula: Standard Error of Mean (SEM): SD =, where <italic>n</italic> is the number of subjects in each group (<xref ref-type="bibr" rid="B36">36</xref>). After visual inspection of forest plots or Cochrane&#x2019;s <italic>Q</italic> test, heterogeneity was evaluated using the <italic>I</italic> square (<italic>I</italic>
<sup>2</sup>) statistic (<italic>p</italic> &lt; 0.05 and <italic>I</italic>
<sup>2</sup> &gt; 40%), with <italic>I</italic>
<sup>2</sup> &gt; 40% considered clinically significant (<xref ref-type="bibr" rid="B37">37</xref>). The baseline CRP, IL-6, TNF-&#x3b1;, adiponectin, and leptin levels were analyzed, while the intervention duration (&lt; 12 weeks, &#x2265; 12 weeks) and dosage of CLA (&#x2265; 3 and &lt; 3 g/day) were based on the median values of the included studies and health status (healthy: people without any disease; unhealthy: people suffering from a disease such as atherosclerosis, rheumatoid arthritis, diabetes, etc.). Other subgroup analyses were performed according to gender (man, woman), baseline BMI (normal (18.5&#x2013;24.9 kg/m&#xb2;), overweight (25&#x2013;29.9 kg/m&#xb2;), and obese (&gt;30 kg/m&#xb2;)) and isomer&#x2019;s type (CLA-c9t11, CLA-t10c12, both). Studies examining the effect of CLA supplementation on inflammatory cytokines and adipokines used the Begg&#x2019;s test and the funnel plot test to evaluate publication bias (<xref ref-type="bibr" rid="B38">38</xref>). We used the leave-one-out approach to do a sensitivity analysis to identify how many inferences were dependent on a single sample to examine the influence of each study on the pooled effect size (<xref ref-type="bibr" rid="B39">39</xref>). The possible linear association between CLA (mg/day) dose and duration on outcome variables was evaluated using meta-regression, whereas a nonlinear dose&#x2013;response analysis was used to assess the effect of CLA supplementation dose and duration (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Result</title>
<sec id="s3_1">
<title>The flow of study selection</title>
<p>The flow chart presented in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> describes the selection process and the references retrieved from the database.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow chart of study selection for inclusion trials in the systematic review.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1092077-g001.tif"/>
</fig>
<p>A total of 8,351 studies were identified in the first step of the literature search of electronic databases, PubMed (<italic>n</italic> = 3,582), ISI Web of Science (<italic>n</italic> = 1,991), Scopus (<italic>n</italic> = 2,310), and the Cochrane library (<italic>n</italic> = 468). After excluding duplicated (<italic>n</italic> = 2,419) and irrelevant studies based on titles and abstracts (<italic>n</italic> = 2,804), 104 potentially relevant articles were considered for full-text review. Out of 104 studies, 62 did not have the desired data. Finally, 42 studies (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B42">42</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>) were included in the present meta-analysis, and their characteristics are illustrated in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The risk of bias assessment is summarized in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Studies</th>
<th valign="top" rowspan="2" align="center">Country</th>
<th valign="top" rowspan="2" align="center">Study design</th>
<th valign="top" rowspan="2" align="center">Participant</th>
<th valign="top" rowspan="2" align="center">Sex</th>
<th valign="top" colspan="2" align="center">Sample size</th>
<th valign="top" rowspan="2" align="center">Trial duration (week)</th>
<th valign="top" colspan="2" align="center">Means age</th>
<th valign="top" colspan="2" align="center">Means BMI</th>
<th valign="top" colspan="3" align="center">Intervention</th>
</tr>
<tr>
<th valign="top" align="center">IG</th>
<th valign="top" align="center">CG</th>
<th valign="top" align="center">IG</th>
<th valign="top" align="center">CG</th>
<th valign="top" align="center">IG</th>
<th valign="top" align="center">CG</th>
<th valign="top" align="center">CLA dose</th>
<th valign="top" align="center">Isomer&#x2019;s type</th>
<th valign="top" align="center">Control group Whigham</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Medina et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Parallel, R, PC, B</td>
<td valign="top" align="center">Healthy</td>
<td valign="top" align="center">F: 17</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">20&#x2013;41</td>
<td valign="top" align="center">20&#x2013;41</td>
<td valign="top" align="center">23.2 &#xb1; 1.5</td>
<td valign="top" align="center">22.2 &#xb1; 3.9</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">22.6% 10trans,12cis; 23.6% 11cis,13trans; 17.6% 9cis,11trans; 16.6% 8trans,10cis; 7.7% 9trans,11trans and 10trans,12trans; and 11.9% other isomers</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Riserus et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">Sweden</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Obese men with the metabolic syndrome</td>
<td valign="top" align="center">M: 38</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">51 &#xb1; 7.1</td>
<td valign="top" align="center">53 &#xb1; 10.1</td>
<td valign="top" align="center">30.1 &#xb1; 1.8</td>
<td valign="top" align="center">30.2 &#xb1; 1.8</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">35.9% t10c12 CLA, 35.4% c9t11 CLA</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Riserus et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">Sweden</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Obese men with the metabolic syndrome</td>
<td valign="top" align="center">M: 38</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">55 &#xb1; 7.1</td>
<td valign="top" align="center">53 &#xb1; 10.1</td>
<td valign="top" align="center">31.2 &#xb1; 2.5</td>
<td valign="top" align="center">30.2 &#xb1; 1.8</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">CLA-t10c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Albers et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy men</td>
<td valign="top" align="center">M: 47</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">52 &#xb1; 9</td>
<td valign="top" align="center">53 &#xb1; 10</td>
<td valign="top" align="center">25.3 &#xb1; 2.8</td>
<td valign="top" align="center">25.3 &#xb1; 2.3</td>
<td valign="top" align="center">1.7</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Albers et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy men</td>
<td valign="top" align="center">M: 46</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">52 &#xb1; 8</td>
<td valign="top" align="center">53 &#xb1; 10</td>
<td valign="top" align="center">25.7 &#xb1; 2.5</td>
<td valign="top" align="center">25.3 &#xb1; 2.3</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">80% c9,t11 CLA and 20% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Riserus et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">Sweden</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Obese men</td>
<td valign="top" align="center">M: 38</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">51 &#xb1; 7.1</td>
<td valign="top" align="center">53 &#xb1; 10.1</td>
<td valign="top" align="center">30.1 &#xb1; 1.8</td>
<td valign="top" align="center">30.2 &#xb1; 1.8</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Riserus et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">Sweden</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Obese men</td>
<td valign="top" align="center">M: 38</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">55 &#xb1; 7.1</td>
<td valign="top" align="center">53 &#xb1; 10.1</td>
<td valign="top" align="center">31.2 &#xb1; 2.5</td>
<td valign="top" align="center">30.2 &#xb1; 1.8</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">CLA-t10c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Ramakers et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="center">France</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight subjects</td>
<td valign="top" align="center">M/F (F: 13, M: 13)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">53 &#xb1; 7</td>
<td valign="top" align="center">58 &#xb1; 5</td>
<td valign="top" align="center">29 &#xb1; 2</td>
<td valign="top" align="center">29 &#xb1; 2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">CLA-c9t11</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Ramakers et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="center">France</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight subjects</td>
<td valign="top" align="center">M/F (F: 12, M: 12)</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">56 &#xb1; 6</td>
<td valign="top" align="center">58 &#xb1; 5</td>
<td valign="top" align="center">29 &#xb1; 3</td>
<td valign="top" align="center">29 &#xb1; 2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">CLA-t10c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Desroches et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">Crossover, R, PC, B</td>
<td valign="top" align="center">Overweight and obese</td>
<td valign="top" align="center">M: 17</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">36.6 &#xb1; 12.4</td>
<td valign="top" align="center">36.6 &#xb1; 12.4</td>
<td valign="top" align="center">31.2 &#xb1; 4.4</td>
<td valign="top" align="center">31.2 &#xb1; 4.4</td>
<td valign="top" align="center">4.22</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Song et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Young healthy volunteers</td>
<td valign="top" align="center">M/F (F: 20, M: 8)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">31.8 &#xb1; 6.88</td>
<td valign="top" align="center">30.9 &#xb1; 7.14</td>
<td valign="top" align="center">24.3 &#xb1; 3.8</td>
<td valign="top" align="center">24.23 &#xb1; 3.69</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Gaullier et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">Norway</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy overweight humans</td>
<td valign="top" align="center">M/F (F: 74, M: 14)</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">48.6 &#xb1; 10.6</td>
<td valign="top" align="center">45.1 &#xb1; 8.8</td>
<td valign="top" align="center">28.3 &#xb1; 1.5</td>
<td valign="top" align="center">27.4 &#xb1; 1.7</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Gaullier et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">Norway</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy overweight humans</td>
<td valign="top" align="center">M/F (F: 69, M: 18)</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">104</td>
<td valign="top" align="center">45.1 &#xb1; 10.5</td>
<td valign="top" align="center">45.1 &#xb1; 8.8</td>
<td valign="top" align="center">28.1 &#xb1; 1.4</td>
<td valign="top" align="center">27.4 &#xb1; 1.7</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Smedman et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">Sweden</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy</td>
<td valign="top" align="center">M/F (F: 26, M: 27)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">43.312.8</td>
<td valign="top" align="center">47.8 &#xb1; 10.1</td>
<td valign="top" align="center">25.8 &#xb1; 3.9</td>
<td valign="top" align="center">24.4 &#xb1; 4.2</td>
<td valign="top" align="center">4.2</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Naumann et&#xa0;al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight subjects with LDL phenotype B</td>
<td valign="top" align="center">M/F: 68</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">51 &#xb1; 7</td>
<td valign="top" align="center">51 &#xb1; 9</td>
<td valign="top" align="center">28.6 &#xb1; 2.3</td>
<td valign="top" align="center">28 &#xb1; 2.2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">CLA-c9t11</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Naumann et&#xa0;al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight subjects with LDL phenotype B</td>
<td valign="top" align="center">M/F: 53</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">55 &#xb1; 7</td>
<td valign="top" align="center">51 &#xb1; 9</td>
<td valign="top" align="center">29.3 &#xb1; 2.4</td>
<td valign="top" align="center">28 &#xb1; 2.2</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">CLA-t10c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Colakoglu et&#xa0;al. (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Parallel, R, PC, SB</td>
<td valign="top" align="center">Healthy</td>
<td valign="top" align="center">F: 26</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">21.7 &#xb1; 2</td>
<td valign="top" align="center">20.4 &#xb1; 2.5</td>
<td valign="top" align="center">22.5 &#xb1; 1.7</td>
<td valign="top" align="center">21.6 &#xb1; 1.6</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Control diet&#x2013;exercise</td>
</tr>
<tr>
<td valign="top" align="left">Colakoglu et&#xa0;al. (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Parallel, R, PC, SB</td>
<td valign="top" align="center">Healthy</td>
<td valign="top" align="center">F: 18</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">20.4 &#xb1; 1.7</td>
<td valign="top" align="center">21.9 &#xb1; 2</td>
<td valign="top" align="center">23.3 &#xb1; 1.2</td>
<td valign="top" align="center">20.8 &#xb1; 1.6</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Taylor et&#xa0;al. (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy</td>
<td valign="top" align="center">M/F: 40</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">45 &#xb1; 6</td>
<td valign="top" align="center">47 &#xb1; 8</td>
<td valign="top" align="center">33 &#xb1; 3</td>
<td valign="top" align="center">33 &#xb1; 3</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">35% 9c,11t CLA, 36% t10,c12 CLA</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Mullen et&#xa0;al. (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="center">Ireland</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy middle-aged</td>
<td valign="top" align="center">M: 30</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">51 &#xb1; 8.04</td>
<td valign="top" align="center">47.8 &#xb1; 6.36</td>
<td valign="top" align="center">26.2 &#xb1; 2.32</td>
<td valign="top" align="center">26 &#xb1; 3.4</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Nazare et&#xa0;al. (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="center">France</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy subjects</td>
<td valign="top" align="center">M/F: 44</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">29.4 &#xb1; 6.75</td>
<td valign="top" align="center">28.5 &#xb1; 5.7</td>
<td valign="top" align="center">25.2 &#xb1; 1.45</td>
<td valign="top" align="center">25.1 &#xb1; 1.48</td>
<td valign="top" align="center">3.76</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Iwata et&#xa0;al. (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight</td>
<td valign="top" align="center">M: 40</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">44.3 &#xb1; 10.2</td>
<td valign="top" align="center">42.5 &#xb1; 10.4</td>
<td valign="top" align="center">27.4 &#xb1; 2</td>
<td valign="top" align="center">27.8 &#xb1; 1.9</td>
<td valign="top" align="center">5.4</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Iwata et&#xa0;al. (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="center">Japan</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight</td>
<td valign="top" align="center">M: 40</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">40.5 &#xb1; 8.8</td>
<td valign="top" align="center">42.5 &#xb1; 10.4</td>
<td valign="top" align="center">28.1 &#xb1; 2.1</td>
<td valign="top" align="center">27.8 &#xb1; 1.9</td>
<td valign="top" align="center">10.8</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Steck et&#xa0;al. (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy obese humans</td>
<td valign="top" align="center">M/F (F: 23, M: 9)</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">36.3 &#xb1; 8.9</td>
<td valign="top" align="center">34.9 &#xb1; 8</td>
<td valign="top" align="center">32.7 &#xb1; 1.8</td>
<td valign="top" align="center">32.7 &#xb1; 1.9</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Steck et&#xa0;al. (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy obese humans</td>
<td valign="top" align="center">M/F (F: 24, M: 8)</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">34.1 &#xb1; 8.9</td>
<td valign="top" align="center">34.9 &#xb1; 8</td>
<td valign="top" align="center">32.7 &#xb1; 1.7</td>
<td valign="top" align="center">32.7 &#xb1; 1.9</td>
<td valign="top" align="center">6.4</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Whigham et&#xa0;al. (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy</td>
<td valign="top" align="center">M/F (F: 32, M: 8)</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">34 &#xb1; 8</td>
<td valign="top" align="center">32 &#xb1; 7</td>
<td valign="top" align="center">27.6 &#xb1; 1.8</td>
<td valign="top" align="center">28 &#xb1; 2.2</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">39.2% 9cis,11 trans and 38.5% 10trans,12cis</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Gaullier et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">Norway</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight and obese</td>
<td valign="top" align="center">M/F (F: 84, M: 21)</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">45.8 &#xb1; 10</td>
<td valign="top" align="center">48.7 &#xb1; 9.2</td>
<td valign="top" align="center">30.5 &#xb1; 10.4</td>
<td valign="top" align="center">30.2 &#xb1; 10.4</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Raff et&#xa0;al. (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="top" align="center">Denmark</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy young men</td>
<td valign="top" align="center">M: 38</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">25.7 &#xb1; 4.2</td>
<td valign="top" align="center">26.1 &#xb1; 3.6</td>
<td valign="top" align="center">22 &#xb1; 1.9</td>
<td valign="top" align="center">22.5 &#xb1; 2.1</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">39.4% 9cis,11trans and 38.5% 10trans,12cis</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Aryaeian et&#xa0;al. (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Rheumatoid Arthritis</td>
<td valign="top" align="center">M/F (F: 38, M: 6)</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">46.23 &#xb1; 13.07</td>
<td valign="top" align="center">47.95 &#xb1; 11.14</td>
<td valign="top" align="center">27.18 &#xb1; 0.99</td>
<td valign="top" align="center">28.48 &#xb1; 0.84</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Kim et&#xa0;al. (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="center">Korea</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy overweight women</td>
<td valign="top" align="center">F: 27</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">26.33 &#xb1; 9.4</td>
<td valign="top" align="center">29.5 &#xb1; 10.8</td>
<td valign="top" align="center">25.23 &#xb1; 2.16</td>
<td valign="top" align="center">26.47 &#xb1; 1.8</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Sneddon et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Young lean</td>
<td valign="top" align="center">M: 13</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">30.5 &#xb1; 4.9</td>
<td valign="top" align="center">30.5 &#xb1; 4.9</td>
<td valign="top" align="center">23.6 &#xb1; 1.5</td>
<td valign="top" align="center">23.6 &#xb1; 1.5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Sneddon et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Young obese</td>
<td valign="top" align="center">M: 12</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">32.4 &#xb1; 2.3</td>
<td valign="top" align="center">32.4 &#xb1; 2.4</td>
<td valign="top" align="center">32.3 &#xb1; 1.9</td>
<td valign="top" align="center">32.3 &#xb1; 1.9</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Sneddon et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Older lean</td>
<td valign="top" align="center">M: 20</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">56.3 &#xb1; 4.2</td>
<td valign="top" align="center">56.3 &#xb1; 4.2</td>
<td valign="top" align="center">23.6 &#xb1; 1.5</td>
<td valign="top" align="center">23.6 &#xb1; 1.5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Sneddon et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Older obese</td>
<td valign="top" align="center">M: 14</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">56.9 &#xb1; 5.4</td>
<td valign="top" align="center">56.4 &#xb1; 5.4</td>
<td valign="top" align="center">32 &#xb1; 1.6</td>
<td valign="top" align="center">32 &#xb1; 1.6</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Turpeinen et&#xa0;al. (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="center">Finland</td>
<td valign="top" align="center">Parallel, R, PC</td>
<td valign="top" align="center">Subjects with birch pollen allergy</td>
<td valign="top" align="center">M/F (F: 28, M: 12)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">20&#x2013;46</td>
<td valign="top" align="center">20&#x2013;46</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">65&#xb7;3% 9cis,11trans-CLA and 8&#xb7;5% 10trans,12cis-CLA</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Norris et&#xa0;al. (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Postmenopausal women with type 2 diabetes mellitus</td>
<td valign="top" align="center">F: 55</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">59.4 &#xb1; 7.3</td>
<td valign="top" align="center">60.1 &#xb1; 7.3</td>
<td valign="top" align="center">37.1 &#xb1; 7.2</td>
<td valign="top" align="center">36.3 &#xb1; 6.1</td>
<td valign="top" align="center">6.4</td>
<td valign="top" align="center">41.6% c9,t11 CLA and 40.4% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Zhao et&#xa0;al. (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Obesity-related hypertension</td>
<td valign="top" align="center">M/F (F: 36, M: 44)</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">62.3 &#xb1; 3.5</td>
<td valign="top" align="center">59.4 &#xb1; 2.4</td>
<td valign="top" align="center">32.3 &#xb1; 2.3</td>
<td valign="top" align="center">31.2 &#xb1; 1.4</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Sluijs et&#xa0;al. (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight and obese adults</td>
<td valign="top" align="center">M/F (F: 179, M: 167)</td>
<td valign="top" align="center">173</td>
<td valign="top" align="center">173</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">58 &#xb1; 0.4</td>
<td valign="top" align="center">58.8 &#xb1; 0.5</td>
<td valign="top" align="center">28 &#xb1; 9.45</td>
<td valign="top" align="center">27.7 &#xb1; 12.75</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">CLA-c9t11</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Tavakkoli Darestani et&#xa0;al. (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Postmenopausal</td>
<td valign="top" align="center">F: 76</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">55.1 &#xb1; 6.4</td>
<td valign="top" align="center">54.9 &#xb1; 6.9</td>
<td valign="top" align="center">27.6 &#xb1; 3.4</td>
<td valign="top" align="center">27 &#xb1; 3.4</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">MacRedmond et&#xa0;al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight mild asthmatics</td>
<td valign="top" align="center">M/F (F: 15, M: 13)</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">32.2 &#xb1; 8.7</td>
<td valign="top" align="center">29.9 &#xb1; 3.8</td>
<td valign="top" align="center">27.8 &#xb1; 4.5</td>
<td valign="top" align="center">27.3 &#xb1; 3.6</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Sofi et&#xa0;al. (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="center">Italy</td>
<td valign="top" align="center">Crossover, R, PC</td>
<td valign="top" align="center">Healthy middle-aged</td>
<td valign="top" align="center">M/F (F: 6, M: 4)</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">25 &#xb1; 4</td>
<td valign="top" align="center">25 &#xb1; 4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Joseph et&#xa0;al. (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Overweight, hyperlipidemic</td>
<td valign="top" align="center">M: 27</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">18&#x2013;60</td>
<td valign="top" align="center">18&#x2013;60</td>
<td valign="top" align="center">31.5 &#xb1; 4</td>
<td valign="top" align="center">31.3 &#xb1; 4</td>
<td valign="top" align="center">3.5</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Joseph et&#xa0;al. (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Overweight, hyperlipidemic</td>
<td valign="top" align="center">M: 27</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">18&#x2013;60</td>
<td valign="top" align="center">18&#x2013;60</td>
<td valign="top" align="center">31.4 &#xb1; 4</td>
<td valign="top" align="center">31.3 &#xb1; 4</td>
<td valign="top" align="center">3.5</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Pfeuffer et&#xa0;al. (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Obese male subjects</td>
<td valign="top" align="center">M: 40</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">45&#x2013;68</td>
<td valign="top" align="center">45&#x2013;68</td>
<td valign="top" align="center">28.3 &#xb1; 2.3</td>
<td valign="top" align="center">27.8 &#xb1; 1.3</td>
<td valign="top" align="center">4.5</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Brown et&#xa0;al. (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Paralrell, R, PC</td>
<td valign="top" align="center">Health in young women</td>
<td valign="top" align="center">F: 18</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">20&#x2013;40</td>
<td valign="top" align="center">20&#x2013;40</td>
<td valign="top" align="center">19&#x2013;30</td>
<td valign="top" align="center">19&#x2013;30</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Rubin et&#xa0;al. (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Middle-aged men</td>
<td valign="top" align="center">M: 35</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">45&#x2013;68</td>
<td valign="top" align="center">45&#x2013;68</td>
<td valign="top" align="center">26 &#xb1; 2.6</td>
<td valign="top" align="center">26.1 &#xb1; 3</td>
<td valign="top" align="center">4.25</td>
<td valign="top" align="center">CLA-c9t11</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Rubin et&#xa0;al. (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Crossover, R, PC, DB</td>
<td valign="top" align="center">Middle-aged men</td>
<td valign="top" align="center">M: 35</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">45&#x2013;68</td>
<td valign="top" align="center">45&#x2013;68</td>
<td valign="top" align="center">26 &#xb1; 3.5</td>
<td valign="top" align="center">26.1 &#xb1; 3</td>
<td valign="top" align="center">4.25</td>
<td valign="top" align="center">CLA-t10c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Eftekhari et&#xa0;al. (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC</td>
<td valign="top" align="center">Atherosclerotic patients</td>
<td valign="top" align="center">M/F: 57</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">52.79 &#xb1; 14.11</td>
<td valign="top" align="center">55.85 &#xb1; 14.13</td>
<td valign="top" align="center">24.02 &#xb1; 2.76</td>
<td valign="top" align="center">24.66 &#xb1; 2.34</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Shadman et&#xa0;al. (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight type2 diabetics</td>
<td valign="top" align="center">M/F (F: 21, M: 18)</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">45.1 &#xb1; 5.7</td>
<td valign="top" align="center">45.5 &#xb1; 4.3</td>
<td valign="top" align="center">27.4 &#xb1; 0.5</td>
<td valign="top" align="center">27.1 &#xb1; 1.8</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Bulut et&#xa0;al. (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Young men</td>
<td valign="top" align="center">M: 18</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">19&#x2013;31</td>
<td valign="top" align="center">19&#x2013;31</td>
<td valign="top" align="center">27.5 &#xb1; 2.6</td>
<td valign="top" align="center">26.8 &#xb1; 1.9</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Lopez-Plaza et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">Spain</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Healthy overweight people</td>
<td valign="top" align="center">M/F (F: 29, M: 9)</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">43 &#xb1; 8.3</td>
<td valign="top" align="center">44.35 &#xb1; 7.79</td>
<td valign="top" align="center">28.44 &#xb1; 1.08</td>
<td valign="top" align="center">28.56 &#xb1; 0.95</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Aryaeian et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Rheumatoid arthritis</td>
<td valign="top" align="center">M/F (F: 38, M: 6)</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">46.23 &#xb1; 13.07</td>
<td valign="top" align="center">47.95 &#xb1; 11.14</td>
<td valign="top" align="center">27.18 &#xb1; 4.63</td>
<td valign="top" align="center">28.48 &#xb1; 3.94</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Dus-Zuchowska et&#xa0;al. (<xref ref-type="bibr" rid="B75">75</xref>)</td>
<td valign="top" align="center">Poland</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Overweight and obese</td>
<td valign="top" align="center">F: 74</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">54 &#xb1; 4</td>
<td valign="top" align="center">54 &#xb1; 4</td>
<td valign="top" align="center">34 &#xb1; 3.5</td>
<td valign="top" align="center">35.36 &#xb1; 3.56</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">50% c9,t11 CLA and 50% t10,c12</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Baghi et&#xa0;al. (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Athletic</td>
<td valign="top" align="center">M: 23</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">18.46 &#xb1; 1</td>
<td valign="top" align="center">18.2 &#xb1; 0.5</td>
<td valign="top" align="center">23.13 &#xb1; 0.89</td>
<td valign="top" align="center">23.83 &#xb1; 2.18</td>
<td valign="top" align="center">5.6</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Placebo</td>
</tr>
<tr>
<td valign="top" align="left">Abedi et&#xa0;al. (<xref ref-type="bibr" rid="B76">76</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC, SB</td>
<td valign="top" align="center">Nonalcoholic fatty liver disease</td>
<td valign="top" align="center">M/F (F: 32, M: 6)</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">36.74 &#xb1; 6.87</td>
<td valign="top" align="center">38.58 &#xb1; 8.24</td>
<td valign="top" align="center">32.72 &#xb1; 4.63</td>
<td valign="top" align="center">35.27 &#xb1; 3.46</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Control diet</td>
</tr>
<tr>
<td valign="top" align="left">Aslani et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Parallel, R, PC, DB</td>
<td valign="top" align="center">Chronic obstructive pulmonary disease (COPD)</td>
<td valign="top" align="center">M/F: 82</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">63.82 &#xb1; 10.58</td>
<td valign="top" align="center">61.55 &#xb1; 10.81</td>
<td valign="top" align="center">25.46 &#xb1; 3.85</td>
<td valign="top" align="center">45.71 &#xb1; 26.11</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">Both</td>
<td valign="top" align="center">Placebo</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Risk of bias assessment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Studies</th>
<th valign="top" align="center">Random sequence generation</th>
<th valign="top" align="center">Allocation concealment</th>
<th valign="top" align="center">Selective reporting</th>
<th valign="top" align="center">Other sources of bias</th>
<th valign="top" align="center">Blinding (participants and personnel)</th>
<th valign="top" align="center">Blinding (outcome assessment)</th>
<th valign="top" align="center">Incomplete outcome data</th>
<th valign="top" align="center">General risk of bias</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Medina et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">RISerus et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Albers et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Riserus et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Desroches et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Gaullier et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Song et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Smedman et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Ramakers et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Colakoglu et&#xa0;al. (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Taylor et&#xa0;al. (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Naumann et&#xa0;al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Gaullier et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Nazare et&#xa0;al. (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Iwata et&#xa0;al. (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Watras et&#xa0;al. (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Mullen et&#xa0;al. (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Steck et&#xa0;al. (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Kim et&#xa0;al. (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Sneddon et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Turpeinen et&#xa0;al. (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Aryaeian et&#xa0;al. (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Raff et&#xa0;al. (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Zhao et&#xa0;al. (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Norris et&#xa0;al. (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">MacRedmond et&#xa0;al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Tavakkoli Darestani et&#xa0;al. (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Sofi et&#xa0;al. (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Sluijs et&#xa0;al. (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Joseph et&#xa0;al. (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Brown et&#xa0;al. (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Pfeuffer et&#xa0;al. (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Rubin et&#xa0;al. (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Shadman et&#xa0;al. (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Lopez-Plaza et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Bulut et&#xa0;al. (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Eftekhari et&#xa0;al. (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Aryaeian et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Bad</td>
</tr>
<tr>
<td valign="top" align="left">Baghi et&#xa0;al. (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Good</td>
</tr>
<tr>
<td valign="top" align="left">Dus-Zuchowska et&#xa0;al. (<xref ref-type="bibr" rid="B75">75</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Abedi et&#xa0;al. (<xref ref-type="bibr" rid="B76">76</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">Fair</td>
</tr>
<tr>
<td valign="top" align="left">Aslani et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">L</td>
<td valign="top" align="center">U</td>
<td valign="top" align="center">H</td>
<td valign="top" align="center">Bad</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>U, unclear risk of bias; L, low risk of bias; H, high risk of bias.</p>
</fn>
<fn>
<p>Good &lt; 2 high risks of bias; Fair = 2 high risks of bias; Bad &gt; 2 high risks of bias.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Study characteristics</title>
<p>All of these studies were RCTs published between 2000 and 2020. Study design characteristics are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The WMD and 95% CI of CRP (mg/dl), IL-6 (pg/ml), TNF-&#x3b1; (ng/ml), adiponectin (&#xb5;g/ml), and leptin (ng/ml) and their changes are presented in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;E</bold>
</xref>, respectively. The two studies were conducted in the USA (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B67">67</xref>), three in Sweden (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B49">49</xref>), three in the Netherlands (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B65">65</xref>), four in Canada (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B68">68</xref>), two in Norway (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B47">47</xref>), four in the UK (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B56">56</xref>), two in France (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B53">53</xref>), two in Turkey (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B72">72</xref>), one in Japan (<xref ref-type="bibr" rid="B55">55</xref>), one in Ireland (<xref ref-type="bibr" rid="B57">57</xref>), one in Korean (<xref ref-type="bibr" rid="B58">58</xref>), one in Finland (<xref ref-type="bibr" rid="B59">59</xref>), one in Denmark (<xref ref-type="bibr" rid="B61">61</xref>), one in China (<xref ref-type="bibr" rid="B62">62</xref>), three in Germany (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>), one in Italy (<xref ref-type="bibr" rid="B64">64</xref>), one in Spain (<xref ref-type="bibr" rid="B16">16</xref>), one in Poland (<xref ref-type="bibr" rid="B75">75</xref>), and the others in Iran (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B76">76</xref>). Thirteen studies included only men and seven women, and 22 included both sexes. There were 37 parallel (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B42">42</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B65">65</xref>&#x2013;<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B71">71</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>) and five crossover (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B70">70</xref>) studies. A total of 1,192 subjects (intervention: 597/control: 595) in terms of CRP, 817 subjects (intervention: 418/control: 399) for IL-6, 779 subjects (intervention: 402/control: 377) for TNF-&#x3b1;, 845 subjects (intervention: 424/control: 421) for adiponectin, and 1,274 subjects (intervention: 649/control: 625) for leptin were enrolled. The duration of the intervention varied from 4 to 104 weeks. The CLA supplements were used in doses of 1.6 to 10.8 mg/day. The mean age and baseline BMI ranged from 20 to 61.55 years and 22.2 to 45.71 kg/m<sup>2</sup>, respectively. Participant&#x2019;s health conditions were as follows: obese men with metabolic syndrome (<xref ref-type="bibr" rid="B43">43</xref>), overweight subjects with LDL phenotype B (<xref ref-type="bibr" rid="B52">52</xref>), both older obese and young lean, older lean, young obese (<xref ref-type="bibr" rid="B28">28</xref>), birch pollen allergy (<xref ref-type="bibr" rid="B59">59</xref>), obesity-related hypertension (<xref ref-type="bibr" rid="B62">62</xref>), postmenopausal women with type 2 diabetes mellitus (<xref ref-type="bibr" rid="B63">63</xref>), overweight mild asthmatics (<xref ref-type="bibr" rid="B12">12</xref>), postmenopausal women (<xref ref-type="bibr" rid="B66">66</xref>), overweight and hyperlipidemic (<xref ref-type="bibr" rid="B68">68</xref>), overweight type 2 diabetes (<xref ref-type="bibr" rid="B71">71</xref>), healthy overweight people (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B56">56</xref>), healthy subjects (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B72">72</xref>), atherosclerotic patients (<xref ref-type="bibr" rid="B73">73</xref>), rheumatoid arthritis (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B60">60</xref>), athletic (<xref ref-type="bibr" rid="B74">74</xref>), overweight/obese (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B75">75</xref>), nonalcoholic fatty liver disease (<xref ref-type="bibr" rid="B76">76</xref>), and chronic obstructive pulmonary disease (COPD) (<xref ref-type="bibr" rid="B18">18</xref>). Iwata et&#xa0;al. (<xref ref-type="bibr" rid="B55">55</xref>), Albers et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>), and Steck et&#xa0;al. used two different CLA doses in their studies. Out of the 42 studies, CRP, IL-6, TNF-&#x3b1;, adiponectin, and leptin were reported in 20, 15, 16, 12, and 20, respectively. For supplementation, 47 study arms used mixed isomers (9cis,11trans-CLA and 10trans,12cis-CLA), four study arms used 9cis,11trans-CLA isomer, and five study arms used 10trans,12cis-CLA isomer. In these studies, detection methods of CRP were Behring latex-enhanced high-sensitivity assays, Eckman Synchron CX7 System, enzyme-linked immunosorbent assay, enhanced turbidimetric immunoassay, highly sensitive immunoassay with a monoclonal antibody coated with polystyrene particles, immunoturbidimetric assay, and rabbit antihuman.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot detailing weighted mean difference and 95% confidence intervals (CIs) for the effect of CLA consumption on <bold>(A)</bold> CRP (mg/L), <bold>(B)</bold> IL-6 (pg/ml), <bold>(C)</bold> TNF-&#x3b1; (ng/ml), <bold>(D)</bold> adiponectin (&#xb5;g/ml), and <bold>(E)</bold> leptin (ng/ml). Horizontal lines represent 95% CIs. Diamonds represent pooled estimates from random-effects analysis. WMD, weighted mean difference; CI, confidence interval; CLA, conjugated linoleic acid; CRP, C-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1092077-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Meta-analysis findings</title>
<sec id="s3_3_1">
<title>Effect of CLA supplementation on CRP</title>
<p>Overall, 24 effect sizes from 20 studies for CRP were included in the analysis. The results of the analysis showed that CLA supplementation significantly increased CRP compared to placebo [(WMD = 0.26 mg/dl; 95% CI, 0.00 to 0.52; <italic>p</italic> = 0.048 (<italic>I</italic>
<sup>2</sup> = 56.3%, &lt;0.001)] (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The effect of CLA on CRP was significant in studies with baseline CRP less than 3 mg/dl (WMD = 0.31 mg/dl; 95% CI, 0.05 to 0.57; <italic>p</italic> = 0.016), supplementation dose &#x2265;3 (g/day) (WMD = 0.49 mg/dl; 95% CI, 0.09 to 0.90; <italic>p</italic> = 0.017), and healthy subgroup (WMD = 0.39 mg/dl; 95% CI, 0.10 to 0.68; <italic>p</italic> = 0.008). Heterogeneity disappeared in supplementation subgroups of less than 3 (g/day) (<italic>I</italic>
<sup>2</sup> = 36.9%, <italic>p</italic> = 0.104), overweight (25&#x2013;29.9) (<italic>I</italic>
<sup>2</sup> = 15.9%, <italic>p</italic> = 0.288), and unhealthy subjects (<italic>I</italic>
<sup>2</sup> = 52.4%, <italic>p</italic> = 0.078). In the other subgroups, the effect of CLA supplementation on serum concentrations of CRP was not significant (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Subgroup analyses of CLA supplementation on inflammatory cytokines and adipokines.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" rowspan="2" align="center">Number of studies</th>
<th valign="top" rowspan="2" align="center">WMD (95%CI)</th>
<th valign="top" rowspan="2" align="center">
<italic>p</italic>-value</th>
<th valign="top" colspan="2" align="center">Heterogeneity</th>
</tr>
<tr>
<th valign="top" align="center">
<italic>P</italic> heterogeneity</th>
<th valign="top" align="center">
<italic>I</italic>
<sup>2</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="6" align="left">Subgroup analyses of CLA supplementation on CRP (mg/dl)</th>
</tr>
<tr>
<td valign="top" align="left">Overall effect</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.26 (0.00, 0.52)</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">56.3%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Baseline CRP (mg/dl)</th>
</tr>
<tr>
<td valign="top" align="left">&lt;3</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.31 (0.05, 0.57)</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">58.0%</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.27 (&#x2212;0.71, 1.26)</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center">53.4%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Trial duration (week)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;12</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">0.44 (&#x2212;0.01, 0.89)</td>
<td valign="top" align="center">0.056</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">54.3%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;12</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0.15 (&#x2212;0.18, 0.49)</td>
<td valign="top" align="center">0.361</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">60.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Health status</th>
</tr>
<tr>
<td valign="top" align="left">Healthy</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.39 (0.10, 0.68)</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">57.1%</td>
</tr>
<tr>
<td valign="top" align="left">Unhealthy</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x2212;0.21 (&#x2212;0.84, 0.41)</td>
<td valign="top" align="center">0.508</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">52.4%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Supplementation dose (g/day)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;3</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.49 (0.09, 0.90)</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">67.3%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;3</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">0.05 (&#x2212;0.29, 0.40)</td>
<td valign="top" align="center">0.759</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="center">36.9%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="left">Both sexes</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">0.34 (&#x2212;0.12, 0.81)</td>
<td valign="top" align="center">0.149</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">51.3%</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.27 (&#x2212;0.10, 0.65)</td>
<td valign="top" align="center">0.151</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">68.6%</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2212;0.10 (&#x2212;0.52, 0.32)</td>
<td valign="top" align="center">0.644</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Baseline BMI (kg/m<sup>2</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">Normal (18.5&#x2013;24.9)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.06 (&#x2212;0.57, 0.71)</td>
<td valign="top" align="center">0.836</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">86.8%</td>
</tr>
<tr>
<td valign="top" align="left">Overweight (25&#x2013;29.9)</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0.25 (&#x2212;0.07, 0.57)</td>
<td valign="top" align="center">0.131</td>
<td valign="top" align="center">0.288</td>
<td valign="top" align="center">15.9%</td>
</tr>
<tr>
<td valign="top" align="left">Obese (&gt;30)</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.25 (&#x2212;0.07, 0.57)</td>
<td valign="top" align="center">0.111</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">63.8%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Isomer&#x2019;s type</th>
</tr>
<tr>
<td valign="top" align="left">Both</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.25 (&#x2212;0.05, 0.56)</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">64.0%</td>
</tr>
<tr>
<td valign="top" align="left">CLA-c9t11</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.29 (&#x2212;0.35, 0.93)</td>
<td valign="top" align="center">0.373</td>
<td valign="top" align="center">0.948</td>
<td valign="top" align="center">0.0%</td>
</tr>
<tr>
<td valign="top" align="left">CLA-t10c12</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.45 (&#x2212;0.08, 0.98)</td>
<td valign="top" align="center">0.100</td>
<td valign="top" align="center">0.671</td>
<td valign="top" align="center">0.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Subgroup analyses of CLA supplementation on IL-6 (pg/ml).</th>
</tr>
<tr>
<td valign="top" align="left">Overall effect</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">&#x2212;0.66 (&#x2212;1.14, &#x2212;0.19)</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">86.3%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Trial duration (week)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;12</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">0.32 (&#x2212;0.19, 0.83)</td>
<td valign="top" align="center">0.224</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="center">11.7%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;12</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">&#x2212;1.16 (&#x2212;1.82, &#x2212;0.50)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">90.4%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Health status</th>
</tr>
<tr>
<td valign="top" align="left">Healthy</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">&#x2212;0.55 (&#x2212;1.39, 0.28)</td>
<td valign="top" align="center">0.192</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">87.7%</td>
</tr>
<tr>
<td valign="top" align="left">Unhealthy</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x2212;0.61 (&#x2212;1.09, &#x2212;0.14)</td>
<td valign="top" align="center">0.010</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">67.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Supplementation dose (g/day)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">&#x2212;0.15 (&#x2212;0.44, 0.14)</td>
<td valign="top" align="center">0.310</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">71.4%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;3</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x2212;1.65 (&#x2212;3.45, 0.14)</td>
<td valign="top" align="center">0.072</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">79.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="left">Both sexes</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">&#x2212;0.84 (&#x2212;2.09, 0.40)</td>
<td valign="top" align="center">0.184</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">89.6%</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x2212;0.31 (&#x2212;0.51, &#x2212;0.12)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="center">12.5%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Baseline BMI (kg/m<sup>2</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">Normal (18.5&#x2013;24.9)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2212;1.66 (&#x2212;5.15, 1.82)</td>
<td valign="top" align="center">0.349</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">81.1%</td>
</tr>
<tr>
<td valign="top" align="left">Overweight (25&#x2013;29.9)</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x2212;0.88 (&#x2212;2.34, 0.57)</td>
<td valign="top" align="center">0.236</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">87.4%</td>
</tr>
<tr>
<td valign="top" align="left">Obese (&gt;30)</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x2212;0.15 (0.49, 0.18)</td>
<td valign="top" align="center">0.379</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">69.5%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Isomer&#x2019;s type</th>
</tr>
<tr>
<td valign="top" align="left">Both</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">&#x2212;0.68 (&#x2212;1.15, &#x2212;0.21)</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">87.2%</td>
</tr>
<tr>
<td valign="top" align="left">CLA-c9t11</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2212;7.84 (&#x2212;16.90, 1.22)</td>
<td valign="top" align="center">0.090</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">CLA-t10c12</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">5.77 (&#x2212;0.38, 11.92)</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Subgroup analyses of CLA supplementation on TNF-&#x3b1; (ng/ml)</th>
</tr>
<tr>
<td valign="top" align="left">Overall effect</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">&#x2212;0.99 (&#x2212;1.76, &#x2212;0.22)</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">90.2%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Trial duration (week)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;12</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">&#x2212;1.21 (&#x2212;2.44, 0.02)</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">92.6%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;12</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">&#x2212;0.73 (&#x2212;1.74, 0.27)</td>
<td valign="top" align="center">0.155</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">82.4%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Health status</th>
</tr>
<tr>
<td valign="top" align="left">Healthy</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">&#x2212;2.01 (&#x2212;3.31, &#x2212;0.71)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">92.1%</td>
</tr>
<tr>
<td valign="top" align="left">Unhealthy</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.22 (&#x2212;0.15, 0.60)</td>
<td valign="top" align="center">0.238</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="center">36.8%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Supplementation dose (g/day)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;3</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.09 (&#x2212;0.53, 0.72)</td>
<td valign="top" align="center">0.772</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">80.5%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;3</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">&#x2212;3.08 (&#x2212;4.91, &#x2212;1.25)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">92.9%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="left">Both sexes</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">&#x2212;1.29 (&#x2212;2.62, 0.03)</td>
<td valign="top" align="center">0.056</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">91.8%</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x2212;1.01 (&#x2212;1.95, &#x2212;0.08)</td>
<td valign="top" align="center">0.033</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">86.7%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Baseline BMI (kg/m<sup>2</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">Normal (18.5&#x2013;24.9)</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2212;9.29 (&#x2212;18.51, &#x2212;0.08)</td>
<td valign="top" align="center">0.048</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">90.7%</td>
</tr>
<tr>
<td valign="top" align="left">Overweight (25&#x2013;29.9)</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">&#x2212;0.77 (&#x2212;1.69, 0.14)</td>
<td valign="top" align="center">0.099</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">82.1%</td>
</tr>
<tr>
<td valign="top" align="left">Obese (&gt;30)</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.35 (&#x2212;0.35, 1.05)</td>
<td valign="top" align="center">0.327</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">83.5%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Isomer&#x2019;s type</th>
</tr>
<tr>
<td valign="top" align="left">Both</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">&#x2212;1.41 (&#x2212;2.31, -0.50)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">90.6%</td>
</tr>
<tr>
<td valign="top" align="left">CLA-c9t11</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2212;0.29 (&#x2212;0.92, 0.34)</td>
<td valign="top" align="center">0.369</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">CLA-t10c12</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.29 (0.64, 1.93)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Subgroup analyses of CLA supplementation on adiponectin (&#xb5;g/ml)</th>
</tr>
<tr>
<td valign="top" align="left">Overall effect</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.01 (&#x2212;0.68, 0.71)</td>
<td valign="top" align="center">0.976</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">98.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Trial duration (week)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;12</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">&#x2212;0.09 (&#x2212;0.57, 0.39)</td>
<td valign="top" align="center">0.717</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">93.2%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;12</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.20 (&#x2212;1.39, 1.79)</td>
<td valign="top" align="center">0.805</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">93.4%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Health status</th>
</tr>
<tr>
<td valign="top" align="left">Healthy</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.05 (&#x2212;0.38, 0.49)</td>
<td valign="top" align="center">0.811</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">89.4%</td>
</tr>
<tr>
<td valign="top" align="left">Unhealthy</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x2212;0.12 (&#x2212;2.41, 2.17)</td>
<td valign="top" align="center">0.918</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">98.7%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Supplementation dose (g/day)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;3</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">&#x2212;0.06 (&#x2212;1.35, 1.23)</td>
<td valign="top" align="center">0.928</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">97.3%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;3</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.13 (&#x2212;0.46, 0.73)</td>
<td valign="top" align="center">0.669</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">94.6%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="left">Both sexes</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.41 (&#x2212;1.18, 2.00)</td>
<td valign="top" align="center">0.614</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">88.7%</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x2212;0.04 (&#x2212;0.50, 0.42)</td>
<td valign="top" align="center">0.865</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">92.1%</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2212;1.05 (&#x2212;1.58, &#x2212;0.52)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.311</td>
<td valign="top" align="center">2.8%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Baseline BMI (kg/m<sup>2</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">Normal (18.5&#x2013;24.9)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.25 (&#x2212;0.50, 1.01)</td>
<td valign="top" align="center">0.511</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">93.6%</td>
</tr>
<tr>
<td valign="top" align="left">Overweight (25&#x2013;29.9)</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x2212;0.19 (&#x2212;0.85, 0.47)</td>
<td valign="top" align="center">0.568</td>
<td valign="top" align="center">0.943</td>
<td valign="top" align="center">0.0%</td>
</tr>
<tr>
<td valign="top" align="left">Obese (&gt;30)</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x2212;0.00 (&#x2212;1.08, 1.07)</td>
<td valign="top" align="center">0.995</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">98.5%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Isomer&#x2019;s type</th>
</tr>
<tr>
<td valign="top" align="left">Both</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">0.05 (&#x2212;0.72, 0.82)</td>
<td valign="top" align="center">0.900</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">98.3%</td>
</tr>
<tr>
<td valign="top" align="left">CLA-c9t11</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x2212;0.00 (&#x2212;1.28, 1.26)</td>
<td valign="top" align="center">0.989</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">CLA-t10c12</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2212;0.25 (&#x2212;1.15, 0.63)</td>
<td valign="top" align="center">0.572</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">90.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Subgroup analyses of CLA supplementation on leptin (ng/ml)</th>
</tr>
<tr>
<td valign="top" align="left">Overall effect</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">&#x2212;0.30 (&#x2212;0.79, 0.17)</td>
<td valign="top" align="center">0.214</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">95.9%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Trial duration (week)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;12</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.03 (&#x2212;0.16, 0.23)</td>
<td valign="top" align="center">0.743</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">54.9%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;12</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">&#x2212;0.81 (&#x2212;1.71, 0.08)</td>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">63.8%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Health status</th>
</tr>
<tr>
<td valign="top" align="left">Healthy</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">0.06 (&#x2212;0.11, 0.24)</td>
<td valign="top" align="center">0.463</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">42.3%</td>
</tr>
<tr>
<td valign="top" align="left">Unhealthy</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">&#x2212;1.69 (&#x2212;1.80, &#x2212;1.58)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.451</td>
<td valign="top" align="center">0.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Supplementation dose (g/day)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2265;3</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">&#x2212;0.32 (&#x2212;0.92, 0.28)</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">96.8%</td>
</tr>
<tr>
<td valign="top" align="left">&lt;3</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">&#x2212;0.19 (&#x2212;0.85, 0.46)</td>
<td valign="top" align="center">0.567</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">67.9%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="left">Both sexes</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">&#x2212;0.64 (&#x2212;1.47, 0.17)</td>
<td valign="top" align="center">0.124</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">98.4%</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0.06 (&#x2212;0.35, 0.48)</td>
<td valign="top" align="center">0.754</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center">50.8%</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">&#x2212;0.95 (&#x2212;1.79, &#x2212;0.12)</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">0.696</td>
<td valign="top" align="center">0.0%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Baseline BMI (kg/m<sup>2</sup>)</th>
</tr>
<tr>
<td valign="top" align="left">Normal (18.5&#x2013;24.9)</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.50 (0.28, 0.72)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.703</td>
<td valign="top" align="center">0.0%</td>
</tr>
<tr>
<td valign="top" align="left">Overweight (25&#x2013;29.9)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">&#x2212;0.00 (&#x2212;0.14, 0.13)</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">0.343</td>
<td valign="top" align="center">10.0%</td>
</tr>
<tr>
<td valign="top" align="left">Obese (&gt;30)</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">&#x2212;0.73 (&#x2212;1.59, 0.12)</td>
<td valign="top" align="center">0.092</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">96.6%</td>
</tr>
<tr>
<th valign="top" colspan="6" align="left">Isomer&#x2019;s type</th>
</tr>
<tr>
<td valign="top" align="left">Both</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">&#x2212;0.33 (&#x2212;0.85, 0.17)</td>
<td valign="top" align="center">0.196</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">96.4%</td>
</tr>
<tr>
<td valign="top" align="left">CLA-c9t11</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.41 (&#x2212;1.34, 2.18)</td>
<td valign="top" align="center">0.643</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">CLA-t10c12</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">&#x2212;0.27 (&#x2212;1.97, 1.43)</td>
<td valign="top" align="center">0.756</td>
<td valign="top" align="center">0.210</td>
<td valign="top" align="center">36.5%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CI, confidence interval; WMD, weighted mean differences; CLA, conjugated linoleic acid; CRP, c-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3_2">
<title>Effect of CLA supplementation on IL-6</title>
<p>Pooling effect sizes from 15 studies showed that CLA supplementation significantly decreased IL-6 compared to placebo [(WMD = &#x2212;0.66 mg/dl; 95% CI, &#x2212;1.14 to &#x2212;0.19; <italic>p</italic> = 0.006 (<italic>I</italic>
<sup>2</sup> = 86.3%; <italic>p</italic> &lt; 0.001)] (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The effect of CLA on IL-6 was significant in trials lasting &lt;12 weeks (WMD = &#x2212;1.16 pg/ml; 95% CI, &#x2212;1.82 to &#x2212;0.50; <italic>p</italic> = 0.001), male subjects (WMD = &#x2212;0.31 mg/dl; 95% CI, &#x2212;0.51 to &#x2212;0.12; <italic>p</italic> = 0.002), unhealthy subgroup (WMD = &#x2212;0.61 mg/dl; 95% CI, &#x2212;1.09 to &#x2212;0.14; <italic>p</italic> = 0.010), and when a mixture of two isomers was used (WMD = &#x2212;0.68 mg/dl; 95% CI, &#x2212;1.15 to &#x2212;0.21; <italic>p</italic> = 0.005). Heterogeneity disappeared in the trial duration of &#x2265;12 week (<italic>I</italic>
<sup>2</sup> = 11.7%; <italic>p</italic> = 0.335) and the male subgroup (<italic>I</italic>
<sup>2</sup> = 15.5%; <italic>p</italic> = 0.335). In the other subgroups, the effect of CLA supplementation on serum concentrations of IL-6 was not significant (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_3_3">
<title>Effect of CLA supplementation on TNF-&#x3b1;</title>
<p>Results of pooled 19 random-effects size of CLA supplementation on TNF-&#x3b1; found a significant reduction in TNF-&#x3b1; compared to placebo [(WMD = &#x2212;0.99 mg/dl; 95% CI, &#x2212;1.76 to &#x2212;0.22; <italic>p</italic> = 0.011; (<italic>I</italic>
<sup>2</sup> = 90.2%; <italic>p</italic> &lt; 0.001)] (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Subgroup analysis showed a more beneficial effect of CLA supplementation in studies with an intervention dose of &lt;3 (g/day) (WMD = &#x2212;3.08 mg/dl; 95% CI, &#x2212;4.91 to &#x2212;1.25; <italic>p</italic> = 0.001), healthy people (WMD = &#x2212;2.01 mg/dl; 95% CI, &#x2212;3.31 to &#x2212;0.71; <italic>p</italic> = 0.002), male subjects (WMD = &#x2212;1.01 mg/dl; 95% CI, &#x2212;1.95 to &#x2212;0.08; <italic>p</italic> = 0.033), subjects with normal range of BMI (18.5&#x2013;24.9) (WMD = &#x2212;9.29 mg/dl; 95% CI, &#x2212;18.51 to &#x2212;0.08; <italic>p</italic> = 0.048), and when a mixture of two isomers was used (WMD = &#x2212;1.41 mg/dl; 95% CI, &#x2212;2.31 to &#x2212;0.50; <italic>p</italic> = 0.002). Interestingly, when the 10trans12cis-CLA isomer was administered, TNF-&#x3b1; was significantly increased (WMD = 1.29 mg/dl; 95% CI, 0.64 to 1.93; <italic>p</italic> &lt; 0.001). Between-study heterogeneity was out of sight in studies with unhealthy subjects (<italic>I</italic>
<sup>2</sup> = 36.8%; <italic>p</italic> = 0.191). In the other subgroups, the effect of CLA supplementation on serum concentrations of TNF-&#x3b1; was not significant (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_3_4">
<title>Effect of CLA supplementation on adiponectin</title>
<p>Combining 18 effect sizes from 12 studies showed that CLA supplementation had no significant effect on adiponectin level in the intervention group compared to placebo [(WMD = &#x2212;0.01 mg/dl; 95% CI, &#x2212;0.68 to 0.71; <italic>p</italic> = 0.976 (<italic>I</italic>
<sup>2</sup> = 98.0%, <italic>p</italic> &lt; 0.001)] (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). Subgroup analyses showed a significant decrease in adiponectin levels in the female subjects (WMD = &#x2212;1.05 mg/dl; 95% CI, &#x2212;1.58 to &#x2212;0.52; <italic>p</italic> &lt; 0.001). Our subgroup analyses indicated no significant between-study heterogeneity in studies conducted on the female subjects (<italic>I</italic>
<sup>2</sup> = 2.8%; <italic>p</italic> = 0.311) and overweight (<italic>I</italic>
<sup>2</sup> = 0.0%; <italic>p</italic> = 0.943) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_3_5">
<title>Effect of CLA supplementation on leptin</title>
<p>Combining 28 effect sizes from 20 studies showed that CLA supplementation had no significant effect on leptin level in the intervention compared to the placebo group [(WMD = &#x2212;0.30 mg/dl; 95% CI, &#x2212;0.79 to 0.17; <italic>p</italic> = 0.214 (<italic>I</italic>
<sup>2</sup> = 95.9%; <italic>p</italic> &lt; 0.001)] (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref>). Subgroup analyses showed a significant decrease in leptin levels in unhealthy subjects (WMD = &#x2212;1.69 mg/dl; 95% CI, &#x2212;1.80 to &#x2212;1.58; <italic>p</italic> &lt; 0.001), female subjects (WMD = &#x2212;0.95 mg/dl; 95% CI, &#x2212;1.79 to &#x2212;0.12; <italic>p</italic> = 0.025), and a significant increase in leptin levels in the subjects with normal BMI (18.5&#x2013;24.9) (WMD = 0.50 mg/dl; 95% CI, 0.28 to 0.72; <italic>p</italic> &lt; 0.001). Subgroup analyses indicated no significant between-study heterogeneity in studies conducted on unhealthy subjects (<italic>I</italic>
<sup>2</sup> = 0.0%; <italic>p</italic>=0.451), female subjects (<italic>I</italic>
<sup>2</sup> = 0.0%; <italic>p</italic> = 0.696), overweight subjects (<italic>I</italic>
<sup>2</sup> = 0.0%; <italic>p</italic> = 0.943), and subjects with normal range of BMI (<italic>I</italic>
<sup>2</sup> = 0.0%; <italic>p</italic> = 0.703) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s3_4">
<title>Publication bias</title>
<p>Although the visual inspection of funnel plots showed slight asymmetries for all of the outcome variables, no significant publication bias was detected according to Begg&#x2019;s test for most of the variables, such as CRP (<italic>p</italic> = 0.189), IL-6 (<italic>p</italic> = 0.441), adiponectin (<italic>p</italic> = 0.198), and leptin (<italic>p</italic> = 0.050). Publication bias was considerable just for TNF-&#x3b1; (<italic>p</italic> = 0.042) (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A&#x2013;E</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Funnel plots for the effect of CLA consumption on <bold>(A)</bold> CRP (mg/L), <bold>(B)</bold> IL-6 (pg/ml), <bold>(C)</bold> TNF-&#x3b1; (ng/ml), <bold>(D)</bold> adiponectin (&#xb5;g/ml), and <bold>(E)</bold> leptin (ng/ml). Horizontal lines represent 95% CIs. Diamonds represent pooled estimates from random-effects analysis. WMD, weighted mean difference; CI, confidence interval; CLA, conjugated linoleic acid; CRP, C-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1092077-g003.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Nonlinear dose-response analysis</title>
<p>The present study conducted a nonlinear dose&#x2013;response regression to analyze the dose&#x2013;response relationship between CLA supplementation and inflammatory cytokines and adipokines. We did not find a significant nonlinear relationship between dose (g/day) and changes in CRP [(coefficients = &#x2212;0.059; <italic>p</italic>
<sub>nonlinearity</sub> = 0.353)] (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>), IL-6 [(coefficients = &#x2212;10.437; <italic>p</italic>
<sub>nonlinearity</sub> = 0.244)] (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), TNF-&#x3b1; [(coefficients = &#x2212;791.208; <italic>p</italic>
<sub>nonlinearity</sub> = 0.081)] (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>), adiponectin [(coefficients = 1.337; <italic>p</italic>
<sub>nonlinearity</sub> = 0.522)] (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>), and leptin [(coefficients = &#x2212;77.607; <italic>p</italic>
<sub>nonlinearity</sub> = 0.841)] (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>). Moreover, there was a nonlinear association between the duration of intervention and CRP [(coefficients = &#x2212;0.798; <italic>p</italic>
<sub>nonlinearity</sub> = 0.164)] (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>), IL-6 [(coefficients = 2.635; <italic>p</italic>
<sub>nonlinearity</sub> = 0.247)] (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>), TNF-&#x3b1; 9[(coefficients = &#x2212;8.156; <italic>p</italic>
<sub>nonlinearity</sub> = 0.622)] (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>), adiponectin [(coefficients = &#x2212;0.343; <italic>p</italic>
<sub>nonlinearity</sub> = 0.752)] (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>), and leptin [(coefficients = 0.056; <italic>p</italic>
<sub>nonlinearity</sub> = 0.748)] (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5E</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Nonlinear dose&#x2013;response analysis on the effects of the CLA dosage (mg/day) on <bold>(A)</bold> CRP (mg/L), <bold>(B)</bold> IL-6 (pg/ml), <bold>(C)</bold> TNF-&#x3b1; (ng/ml), <bold>(D)</bold> adiponectin (&#xb5;g/ml), and <bold>(E)</bold> leptin (ng/ml). Horizontal lines represent 95% CIs. Diamonds represent pooled estimates from random-effects analysis. WMD, weighted mean difference; CI, confidence interval; CLA, conjugated linoleic acid; CRP, C-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1092077-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Nonlinear dose&#x2013;response analysis on the effects of the duration of the intervention (week) of CLA on <bold>(A)</bold> CRP (mg/L), <bold>(B)</bold> IL-6 (pg/ml), <bold>(C)</bold> TNF-&#x3b1; (ng/ml), <bold>(D)</bold> adiponectin (&#xb5;g/ml), and <bold>(E)</bold> leptin (ng/ml). Horizontal lines represent 95% CIs. Diamonds represent pooled estimates from random-effects analysis. WMD, weighted mean difference; CI, confidence interval; CLA, conjugated linoleic acid; CRP, C-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1092077-g005.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Meta-regression analysis</title>
<p>Meta-regression analyses were performed to assess whether inflammatory cytokines and adipokines were affected by CLA supplementation doses and intervention duration. We found no significant linear association between intervention dose (g/day) and changes in CRP [(coefficients = 0.279; <italic>p</italic>
<sub>linearity</sub> = 0.304)] (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>), IL-6 [(coefficients = 0.162; <italic>p</italic>
<sub>linearity</sub> = 0.384)] (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>), TNF-&#x3b1; [(coefficients = 0.051; <italic>p</italic>
<sub>linearity</sub> = 0.538)] (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>
<bold>)</bold>, adiponectin [(coefficients = &#x2212;0.152; <italic>p</italic>
<sub>linearity</sub> = 0.616)] (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>), leptin [(coefficients = 0.138; <italic>p</italic>
<sub>linearity</sub> = 0.693)] (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6E</bold>
</xref>), nor duration of supplementation (week) and changes in CRP [(coefficients = 1.001; <italic>p</italic>
<sub>linearity</sub> = 0.365)] (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>), IL-6 [(coefficients = 0.327; <italic>p</italic>
<sub>linearity</sub> = 0.528)] (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>), TNF-&#x3b1; [(coefficients = 0.038; <italic>p</italic>
<sub>linearity</sub> = 0.737)] (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>), adiponectin [(coefficients = &#x2212;0.094; <italic>p</italic>
<sub>linearity</sub> = 0.944)] (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>), and leptin [(coefficients = &#x2212;0.006; <italic>p</italic>
<sub>linearity</sub> = 0.994)] (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7E</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Random-effects meta-regression plots of the association between dose of CLA (mg/day) and weighted mean difference of <bold>(A)</bold> CRP (mg/L), <bold>(B)</bold> IL-6 (pg/ml), <bold>(C)</bold> TNF-&#x3b1; (ng/ml), <bold>(D)</bold> adiponectin (&#xb5;g/ml), and <bold>(E)</bold> leptin (ng/ml). Horizontal lines represent 95% CIs. Diamonds represent pooled estimates from random-effects analysis. WMD, weighted mean difference; CI, confidence interval; CRP, C-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1092077-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Random-effects meta-regression plots of the association between duration of intervention of CLA and weighted mean difference of <bold>(A)</bold> CRP (mg/L), <bold>(B)</bold> IL-6 (pg/ml), <bold>(C)</bold> TNF-&#x3b1; (ng/ml), <bold>(D)</bold> adiponectin (&#xb5;g/ml), and <bold>(E)</bold> leptin (ng/ml). Horizontal lines represent 95% CIs. Diamonds represent pooled estimates from random-effects analysis. WMD, weighted mean difference; CI, confidence interval; CRP, C-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1092077-g007.tif"/>
</fig>
</sec>
<sec id="s3_7">
<title>Sensitivity analysis</title>
<p>The sensitivity analysis demonstrated that no study had a significant impact on the overall findings. Although the overall result of studies reporting data on TNF-&#x3b1; was sensitive to the study by Song et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>) (WMD = &#x2212;0.644; 95% CI, &#x2212;1.353, 0.065), and IL-6 was sensitive to the study by Sofi et&#xa0;al. (<xref ref-type="bibr" rid="B64">64</xref>) (WMD = &#x2212;0.284; 95% CI, &#x2212;0.601, 0.033), by omitting these studies, the significance of the correlation between CLA and TNF-&#x3b1; and IL-6 was lost.</p>
<p>In the case of CRP, some studies had an impact on the overall effect size, including that of Whigham et&#xa0;al. (<xref ref-type="bibr" rid="B54">54</xref>) (WMD = 0.253; 95% CI, &#x2212;0.013, 0.520), Smedman et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>) (WMD = 0.247; 95% CI, &#x2212;0.010, 0.506), and Pfeuffer et&#xa0;al. (<xref ref-type="bibr" rid="B69">69</xref>) (WMD = 0.257; 95% CI, &#x2212;0.007, 0.523); the arm &#x201c;a&#x201d; and &#x201c;b&#x201d; of the study of Ramakers et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>) (WMD = 0.258; 95% CI, &#x2212;0.013, 0.529; WMD = 0.245; 95% CI, &#x2212;0.028, 0.518), Taylor et&#xa0;al. (<xref ref-type="bibr" rid="B51">51</xref>) (WMD = 0.251; 95% CI, &#x2212;0.009, 0.512), Gaullier et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>) (WMD = 0.190; 95% CI, &#x2212;0.053, 0.434), and Mullen et&#xa0;al. (<xref ref-type="bibr" rid="B57">57</xref>) (WMD = 0.226; 95% CI, &#x2212;0.036, 0.490); the arm &#x201c;a&#x201d; and &#x201c;b&#x201d; of the study of Steck et&#xa0;al. (<xref ref-type="bibr" rid="B56">56</xref>) (WMD = 0.245; 95% CI, &#x2212;0.010, 0.501; WMD = 0.237; 95% CI = &#x2212;0.011, 0.485), Raff et&#xa0;al. (<xref ref-type="bibr" rid="B61">61</xref>) (WMD = 0.219; 95% CI, &#x2212;0.046, 0.484), and Sluijs et&#xa0;al. (<xref ref-type="bibr" rid="B65">65</xref>) (WMD = 0.262; 95% CI, &#x2212;0.003, 0.529); and the arm &#x201c;b&#x201d; of the study of Joseph et&#xa0;al. (<xref ref-type="bibr" rid="B68">68</xref>) (WMD = 0.237; 95% CI, 0.026, 0.501) and Lopez-Plaza et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>) (WMD = 0.249; 95% CI, &#x2212;0.016, 0.515). It was shown that the exclusion of every individual study by the sensitivity analysis could not change the direction of the correlation but eliminated the significant effect of CLA on CRP.</p>
</sec>
<sec id="s3_8">
<title>GRADE assessment</title>
<p>
<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> displays the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) profile of CLA supplementation on inflammatory cytokine and adipokine variables together with the certainty in outcomes. For CRP, because of serious limitations in inconsistency, the quality of evidence was moderate. In the case of IL-6, because of very serious limitations in inconsistency and for TNF-&#x3b1; because of very serious limitations in inconsistency ad serious limitations for publication bias, the quality of evidence was low. For both outcomes, including leptin and adiponectin, because of very serious limitations in inconsistency and serious limitations in imprecision, the quality of evidence was very low.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>GRADE profile of CLA supplementation for inflammatory cytokines and adipokines.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Outcomes</th>
<th valign="top" align="center">Risk of bias</th>
<th valign="top" align="center">Inconsistency</th>
<th valign="top" align="center">Indirectness</th>
<th valign="top" align="center">Imprecision</th>
<th valign="top" align="center">Publication bias</th>
<th valign="top" align="center">Number of interventions/control</th>
<th valign="top" align="center">Quality of evidence</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">CRP</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">1,192 (597/595)</td>
<td valign="top" align="center">&#x2295;&#x2295;&#x2295;&#x25ef;<break/>Moderate</td>
</tr>
<tr>
<td valign="top" align="left">IL-6</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Very serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">817 (418/399)</td>
<td valign="top" align="center">&#x2295;&#x2295;&#x25ef;&#x25ef;<break/>Low</td>
</tr>
<tr>
<td valign="top" align="left">TNF-&#x3b1;</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Very serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>c</sup>
</xref>
</td>
<td valign="top" align="center">779 (402/377)</td>
<td valign="top" align="center">&#x2295;&#x2295;&#x25ef;&#x25ef;<break/>Low</td>
</tr>
<tr>
<td valign="top" align="left">Adiponectin</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Very serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>b</sup>
</xref>
</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">845 (424/421)</td>
<td valign="top" align="center">&#x2295;&#x25ef;&#x25ef;&#x25ef;<break/>Very low</td>
</tr>
<tr>
<td valign="top" align="left">Leptin</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Very serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">Serious limitation<xref ref-type="table-fn" rid="fnT4_1">
<sup>b</sup>
</xref>
</td>
<td valign="top" align="center">No serious limitation</td>
<td valign="top" align="center">1,274 (649/625)</td>
<td valign="top" align="center">&#x2295;&#x25ef;&#x25ef;&#x25ef;<break/>Very low</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CLA, conjugated linoleic acid; CRP, c-reactive protein; IL-6, interleukin 6; TNF-&#x3b1;, tumor necrosis factor-alpha.</p>
</fn>
<fn id="fnT4_1">
<label>a</label>
<p>There is a significant heterogeneity for CRP (I<sup>2</sup> = 56.3%%), IL-6 (I<sup>2</sup> = 86.3%), TNF-&#x3b1; (I<sup>2</sup> = 90.2%), adiponectin (I<sup>2</sup> = 98.0%), and leptin (I<sup>2</sup> = 95.9%).</p>
</fn>
<fn id="fnT4_2">
<label>b</label>
<p>There is no evidence of significant effects of CLA supplementation on adiponectin and leptin.</p>
</fn>
<fn id="fnT4_3">
<label>c</label>
<p>There is significant publication bias for TNF-&#x3b1; (p = 0.042).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_9">
<title>Certainty assessment</title>
<p>Using the GRADE methodology, which was previously outlined, the total degree of evidence certainty across the studies was evaluated and summarized (<xref ref-type="bibr" rid="B77">77</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this review, an analysis of pooling 42 studies indicated that CLA supplementation increased CRP concentrations, decreased IL-6 and TNF-&#x3b1; values, and had no effect on adiponectin and leptin levels. Findings of subgroup analyses showed that CLA consumption increased CRP in subjects with normal CRP levels (less than 3 mg/dl) and those who were healthy or consumed CLA in doses of &#x2265;3 g/day. Taking CLA decreased IL-6 in male individuals and unhealthy subjects if the trial duration was less than 12 weeks and when a mixture of two isomers was used. TNF-&#x3b1; was reduced by CLA consumption in studies with an intervention dose of &lt;3 g/day, male subjects, healthy persons, or those having normal baseline BMI, and when a mixture of two isomers was used. However, in subgroup analyses based on isomer type, 10trans12cis- CLA isomer significantly increased TNF-&#x3b1;. Supplementation with CLA reduced adiponectin in women. It also decreased leptin in women and unhealthy adults but increased in those with normal baseline BMI. Moreover, the results of the meta-regression analysis showed that there was no significant linear association between intervention doses and duration of supplementation with inflammatory cytokines and adipokines.</p>
<p>The majority of studies included in this meta-analysis used supplements consisting of mixed amounts of CLA isomers. Therefore, since CLA isomers have shown different effects on inflammation (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B78">78</xref>), it is suggested that this issue be considered in research. It is also important to consider the contents of the placebo used in studies. Some included RCTs have used vegetable oils as a placebo, such as safflower and olive oils. One study has indicated the reduced effect of safflower oil on CRP levels compared to CLA (<xref ref-type="bibr" rid="B79">79</xref>). Another study has elucidated the anti-inflammatory effect of olive oils through the prevention of lipooxygenase and enzymes that synthesize leukotriene (<xref ref-type="bibr" rid="B80">80</xref>). In other words, prescribing these vegetable oils as a placebo might misinterpret results.</p>
<p>Diet and physical activity can play an important role in inflammatory conditions (<xref ref-type="bibr" rid="B81">81</xref>). It is better to consider the effects of these two factors in the result of the present meta-analysis. Although, in some studies, the confounding variables of physical activity and diet were controlled, in some trials, these factors were not considered.</p>
<p>Diet is an important regulatory factor in the immune response. Malnutrition leads to suppression of the immune system, whereas overnutrition leads to immune activation. Some foods have anti-inflammatory effects, and there are still controversies about others (<xref ref-type="bibr" rid="B81">81</xref>). For example, several studies have reported a positive association between the glycemic index/glycemic load of dietary carbohydrates and inflammatory cytokines (<xref ref-type="bibr" rid="B81">81</xref>). Also, a high-fat diet causes excessive body fat accumulation and impairs the immune system. On the other hand, it has been reported that trans and saturated fatty acids are significantly associated with the inflammatory state (<xref ref-type="bibr" rid="B82">82</xref>). Although ruminant trans fatty acids have different effects than industrial trans fatty acids, several studies show that industrial trans fatty acids promote inflammation, whereas ruminant trans fatty acids have been reported to be harmless or even beneficial to health, as well as also having anti-inflammatory properties (<xref ref-type="bibr" rid="B83">83</xref>).</p>
<p>In relation to physical activity, it has been reported that although exercise produces a short-term inflammatory response, regular exercise in the long term has an &#x201c;anti-inflammatory&#x201d; effect (<xref ref-type="bibr" rid="B84">84</xref>). One study reported that sedentary subjects had higher levels of inflammatory factors such as IL-6 and TNF-&#x3b1; compared to subjects with higher physical activity (<xref ref-type="bibr" rid="B85">85</xref>).</p>
<p>Other confounding factors that can affect inflammatory markers are sleep duration and sleep quality. Recently, studies have reported a relationship between longer sleep duration (&gt;8&#xa0;h) and increased levels of inflammatory markers such as CRP and IL-6 (<xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>). In addition, a study on healthy subjects reported that higher IL-6 levels were associated with lower sleep quality (<xref ref-type="bibr" rid="B88">88</xref>).</p>
<p>Here, we showed CLA consumption increased CRP concentrations, decreased IL-6 and TNF-&#x3b1;, and did not change adiponectin and leptin levels. There are some meta-analyses that have investigated the effect of CLA on the abovementioned markers. For example, Derakhshandeh-Rishehri et&#xa0;al. (2019) (<xref ref-type="bibr" rid="B89">89</xref>), working on 15 RCTs, revealed that long-term (24 weeks) CLA intake significantly increased CRP levels (<xref ref-type="bibr" rid="B89">89</xref>). A meta-analysis conducted by Haghighatdoost et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>) showed a significant increase in CRP (<italic>n</italic> = 8) and TNF-&#x3b1; levels (<italic>n</italic> = 8) along with a slight decrease in blood IL-6 (<italic>n</italic> = 9) following CLA supplementation (<xref ref-type="bibr" rid="B29">29</xref>). Another meta-analysis (2018) conducted on 19 RCTs demonstrated that CLA intake had a small but not significant decline in plasma leptin. However, it significantly decreased leptin in obese individuals, with trials lasting for less than 24 weeks (<xref ref-type="bibr" rid="B21">21</xref>). A study carried out by Mazidi et&#xa0;al. (<xref ref-type="bibr" rid="B89">89</xref>) on 14 RCTs indicated that treatment with CLA had no effect on IL-6 but significantly reduced serum TNF-&#x3b1; and adiponectin, besides enhancing serum CRP concentrations (<xref ref-type="bibr" rid="B90">90</xref>). By combining previous and current results, it can be acknowledged that except for the effect of CLA in increasing CRP levels, there is no consensus on other markers (i.e., IL-6, TNF-&#x3b1;, adiponectin, and leptin). Moreover, it is noteworthy to state that exercise, dietary intake, sleep duration, and sleep quality can alter the effects of CLA. Therefore, further well-designed studies may clarify the role of CLA on the abovementioned markers.</p>
<p>In the present study, the gender-dependent impact of CLA has also been shown in the reduction of IL-6, TNF-&#x3b1;, adiponectin, and leptin. Based on evidence, CLA can induce testosterone biosynthesis (<xref ref-type="bibr" rid="B91">91</xref>), and subsequently, testosterone is able to decrease IL-6 expression (<xref ref-type="bibr" rid="B92">92</xref>). It has also been stated that circulating CLA concentrations are greater in women than in men (<xref ref-type="bibr" rid="B93">93</xref>). Therefore, the aforementioned evidence can justify the different effects seen between men (IL-6 and TNF-&#x3b1; reduction) and women (adiponectin and leptin reduction) after taking CLA.</p>
<p>The effect of CLA on inflammatory responses has generated inconsistent results. This may be due to isomers and tissue-specific responses of CLA. Moreover, across the included RCTs, administration doses of CLA varied from 1.6 to 10.8 mg/day, and the duration of the treatment differed from 4 to 104 weeks. Health characteristics, inflammation status, and even gut microbiome composition of the recruited individuals were also different (<xref ref-type="bibr" rid="B78">78</xref>). These variations in the studies can influence the results and interpretations.</p>
<p>For example, in relation to isomer and tissue-specific response, 9cis,11trans-CLA isomer exerts its anti-inflammatory effect by activating the peroxisome proliferator-activated receptor-&#x3b3; (PPAR-&#x3b3;)-dependent pathway and ultimately reducing the production of proinflammatory cytokines such as TNF-&#x3b1; and IL-6 (<xref ref-type="bibr" rid="B30">30</xref>). However, the 10trans,12cis-CLA isomer has been reported to have a proinflammatory effect in adipose tissue, in contrast to its effects on innate immunity and vascular cells. In addition, in adipose tissue, activation of PPAR&#xad;&#x3b3; is contrary to the physiological effects of 10trans,12cis-CLA <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B78">78</xref>). This isomer downregulates PPAR-&#x3b3; gene expression and increases TNF-&#x3b1;, IL-6, and CRP production in adipose tissue (<xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B94">94</xref>). It seems that the reason for this inconsistency is cytokines secreted from adipocytes, which in turn alter PPAR&#xad;&#x3b3; expression and activity in the fat cell. Therefore, inconclusive results regarding the anti-inflammatory properties of CLA are likely due to the subtle proinflammatory effects of the 10trans,12cis-CLA isomers in specific tissues (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B78">78</xref>). Overall, it appears that CLA can elicit both anti-inflammatory and proinflammatory features.</p>
<p>Some proposed mechanisms for the effects of CLA isomers on inflammation include the following: (1) Modulation of eicosanoid signaling. This means that CLA reduces the production of inflammatory eicosanoids derived from arachidonic acid (AA) through the inhibition of several steps in the AA cascade. (2) Modulating the transcription of some genes, such as the PPAR gene, plays an important role in the regulation of inflammation. Also, it suppresses the expression of the inducible NO synthase (iNOS) gene, which leads to a decrease in IL-6 production. (3) Inhibition of NF-kB activity, which is a transcription factor involved in cytokine gene expression, cellular adhesion, cell cycle activation, apoptosis, and carcinogenesis and is integrally related to inflammatory responses (<xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B95">95</xref>).</p>
<p>This meta-analysis has some limitations that should be addressed. Most of the included studies had a relatively small sample size, which can cause an overestimation of the results. Observation of publication bias for TNF-&#x3b1; findings suggests overestimation of CLA efficiency on TNF-&#x3b1;. Moreover, TNF-&#x3b1;, IL-6, and CRP results were sensitive to some studies.</p>
<p>In conclusion, it is suggested that CLA supplementation can have both proinflammatory and anti-inflammatory roles. It can enhance CRP concentrations while reducing TNF-&#x3b1; and IL-6 levels. Furthermore, CLA is able to decrease adiponectin and leptin in women. It can also decrease leptin in unhealthy adults and increase it in subjects with a normal baseline BMI. Finally, in order to improve the quality of studies, future clinical trials are encouraged to carefully consider CLA-isomer-specific regulation of inflammatory markers and take notice of the contents of the placebo used in their control groups. It is also important to keep in mind the gender-dependent impact of CLA.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>OA and SR contributed to the conception and design of the study. DA-L, MZ, and GS contributed to data extraction. FS and AK screened articles for inclusion criteria. OA contributed to the data analysis. SR, MY, and EG contributed to manuscript drafting, OA and MZ supervised the study. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s8" 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>
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