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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2024.1399517</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between thyroid function and nonalcoholic fatty liver disease: a dose-response meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xiang</surname>
<given-names>Liu-lan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Yu-tian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Rui-han</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Qi</surname>
<given-names>Fang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yu-juan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wen-hui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Lou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Xi-qiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2081805"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>The First Clinical Medical College of Nanjing University of Chinese Medicine</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Joseph V. Martin, Rutgers University Camden, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Ruilian You, Peking University, China</p>
<p>Debosree Ghosh, Government General Degree College, India</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xi-qiao Zhou, <email xlink:href="mailto:zhouxiqiao@njucm.edu.cn">zhouxiqiao@njucm.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1399517</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Xiang, Cao, Sun, Li, Qi, Zhang, Zhang, Yan and Zhou</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Xiang, Cao, Sun, Li, Qi, Zhang, Zhang, Yan and Zhou</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</title>
<p>Thyroid hormones (THs) have been found that it is closely associated with the onset and progression of non-alcoholic fatty liver disease (NAFLD). However, the current study could not verify the intrinsic relationship between thyroid hormones and NAFLD, which requires further research.</p>
</sec>
<sec>
<title>Methods</title>
<p>The searches of studies reported both TH level in serum and NAFLD were performed in PubMed, Web of Science, Cochrane Library, and Embase databases. We combined an overall meta-analysis with a dose-response meta-analysis to assess the correlation and dose-response relationship between thyroid function levels and the risk of NAFLD.</p>
</sec>
<sec>
<title>Results</title>
<p>Overall, 10 studies were included with a total of 38,425 individuals. We found that the non-linear dose-response model showed that for every 1 ng/dL increase in FT4, the risk of NAFLD was reduced by 10.56% (p=0.003). The odds ratios (ORs) for NAFLD with high free triiodothyronine (FT3) exposure compared to those with low FT3 were 1.580 (95% CI 1.370 to 1.830, I2&#xa0;=&#xa0;0.0%, p&lt;0.001) in the overall meta-analysis. The continuous variable meta-analysis indicated that individuals with high levels of TSH (SMD=1.32, 95% CI 0.660 to 1.970, p&lt;0.001) had significantly higher levels of liver fibrosis than those with low levels.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our findings only validate that there is a correlation between the occurrence of NAFLD and abnormal levels of THs, and it is expected that more observational studies will still be conducted in the future to further demonstrate the relationship between thyroid hormones and NAFLD.</p>
</sec>
<sec>
<title>Trial registration</title>
<p>Registered number in PROSPERO: CRD42023405052.</p>
</sec>
</abstract>
<kwd-group>
<kwd>thyroid function</kwd>
<kwd>nonalcoholic fatty liver disease</kwd>
<kwd>dose-response</kwd>
<kwd>meta - analysis</kwd>
<kwd>systematic evaluation</kwd>
</kwd-group>
<contract-sponsor id="cn001">Priority Academic Program Development of Jiangsu Higher Education Institutions<named-content content-type="fundref-id">10.13039/501100012246</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="14"/>
<word-count count="5015"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Thyroid Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Nonalcoholic fatty liver disease (NAFLD) is the most prevalent liver disease, affecting about 25% population worldwide (<xref ref-type="bibr" rid="B1">1</xref>). From a pathological perspective, NAFLD includes liver injuries of varying severity degrees and the resulting liver fibrosis (<xref ref-type="bibr" rid="B2">2</xref>). Of these, hepatic steatosis (fatty liver) alone is defined as Nonalcoholic fatty liver (NAFL), while a more severe liver damage with apparent inflammation in hepatocytes is known as Nonalcoholic steatohepatitis (NASH) (<xref ref-type="bibr" rid="B2">2</xref>). NASH is not only known to be the early stage of multiple irreverseble liver diseases, such as cirrhosis, liver failure and hepatocellular carcinoma, but also strongly associated with adverse outcomes in non-liver diseases like cardiovascular disease and malignant disease (<xref ref-type="bibr" rid="B3">3</xref>). Therefore, before developing to inrreverseble status, it still warrants the attention of assessing other risk factors relating to NAFLD progression while still awaiting the effective therapies of NAFLD.</p>
<p>In the human body, thyroid hormones (THs), including thyroxine (T4), triiodothyronine (T3) and thyroid-stimulating hormone (TSH), are all essential hormones in mediating the synthesis and metabolism of fatty acids and cholesterol in the liver (<xref ref-type="bibr" rid="B4">4</xref>). Their participations in regulating the whole body&#x2019;s metabolism are critical to maintain specific functions of several tissues and cell types (<xref ref-type="bibr" rid="B5">5</xref>). Imbalances of these hormones may result in overactive metabolism due to excess thyroid hormones (hyperthyroidism), or underactive activity due to deficient thyroid hormones (hypothyroidism). Depending on the severity of this imbalance, both types of THs disorder can be divided into clinical or subclinical status, with the latter being more common (<xref ref-type="bibr" rid="B6">6</xref>). Subclinical hypothyroidism (SH) has been considered as a risk factor for NAFLD. Furthermore, the possibility of liver steatosis improvement through SH treatment is also raised (<xref ref-type="bibr" rid="B7">7</xref>). As the liver and thyroid are closely associated with thyroid hormone, its important role in <italic>de novo</italic> lipogenesis (DNL), beta-oxidation (FAO), cholesterol metabolism and carbohydrate metabolism has led to a number of animal studies and clinical trials investigating TH analogues and TR agonists as potential therapies for NAFLD and hyperlipidemia (<xref ref-type="bibr" rid="B8">8</xref>). However, the relevant evidence above the clinical level is incomplete and still needs to be further supplemented.</p>
<p>So far, four published meta-analyses (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>) have explored the relationship between thyroid and NAFLD. Interestingly, their conclusions are mutually controversial. Gu (<xref ref-type="bibr" rid="B9">9</xref>) suggested that the level of TSH might be a risk factor for the development and progression of NAFLD, which was independent of other THs levels; He et&#xa0;al. (<xref ref-type="bibr" rid="B10">10</xref>) found that both subclinical and overt hypothyroid patients were at higher risks of NAFLD than those with normal thyroid function. On the other hand, Mantovani et&#xa0;al (<xref ref-type="bibr" rid="B11">11</xref>) suggested there was a significant and independent association between primary hypothyroidism and the incidence and severity of NAFLD, but whether subclinical hypothyroidism independently predicts the progression of NAFLD remain uncertain. However, analysis conducted by Jaruvongvanich et&#xa0;al (<xref ref-type="bibr" rid="B12">12</xref>). showed there were no significant associations between NAFLD and subclinical, overt or overall hypothyroidism. They also found that the THs level between participants with and without NAFLD had no significant differences.</p>
<p>Although the relationship between the thyroid and NAFLD is widely discussed, it is still not clear if thyroid hormone levels associate with the development of NAFLD. Therefore, we conducted this dose-response meta-analysis of observational studies (incuding cohort and case-control studies) to further investigate on the dosage-dependent correlationship between THs levels, thyroid diseases and NAFLD.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Search strategy and selection criteria</title>
<p>This meta-analysis was conducted following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline (<xref ref-type="bibr" rid="B13">13</xref>) and the Preferred Reporting Items for a Systematic Review and Meta-analysis (PRISMA) guideline (Additional file 1) (<xref ref-type="bibr" rid="B14">14</xref>). The protocol for this meta-analysis was registered with PROSPERO (CRD42023405052).</p>
<p>We have searched the PubMed, Web of Science, Cochrane Library, and Embase databases for relevant articles published up to February 16, 2023. Our search strategy (Hyperthyroidism OR Hypothyroidism OR Thyroid Hormones OR Thyrotropin OR Thyroid Function Tests OR subclinical hypothyroidism OR subclinical hyperthyroidism OR subclinical thyroid dysfunction) consisted of MeSH terms and entry terms with no restrictions on the language of the articles. Additionally, bibliographies of related articles and current review articles were manually screened for potentially relevant articles.</p>
<p>The inclusion criteria were as follows: (1) cohort or case-control study;(2) the thyroid function level and the risk of NAFLD or NAFLD liver fibrosis index were displayed;(3) providing sufficient data to report odds ratios (ORs), relative risks (RRs), or hazard ratios (HRs) with 95% confidence intervals (95% CIs) to assess the association between thyroid function and NAFLD.</p>
<p>The exclusion criteria were: (1) not conducted with humans; (2) narrative and/or systematic reviews, commentaries, case reports, cross-sectional studies; (3) no relevant data were reported or could not be extracted.</p>
</sec>
<sec id="s2_2">
<title>Data collection and extraction</title>
<p>Studies in the database are administered and duplicate articles were removed using EndNote X9 software. The articles were screened by our two co-workers (Fang Qi &amp; Wen-hui Zhang) independently, following the inclusion and exclusion criteria above. Disagreements were discussed with another co-author (Yu-tian Cao) and subsequently solved via consensus. Liu-lan Xiang and Yu-juan Zhang extracted data along with relevant information from the selected articles and entered it into a standard form. The contents include: general information of the articles (first author&#x2019;s name, the publication year and region), participants information (age, gender, number of subjects, number of NAFLD cases and mean/median/range of thyroid function levels, BMI, or liver fibrosis index), study design (type of study, year of follow-up, source of cases).</p>
</sec>
<sec id="s2_3">
<title>Quality assessment</title>
<p>According to the quality evaluation criteria of observational studies, the Newcastle-Ottawa Scale (NOS) was used to evaluate cohort studies and case control studies (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). The NOS evaluates the quality of research from three aspects: the selection of the study groups; the comparability of the groups; and the ascertainment of either the exposure or outcome of interest for case control or cohort studies, respectively (Additional file 2). The quality of the study was assessed as follows: low quality = 0&#x2013;3 stars; moderate quality = 4&#x2013;6 stars; and high quality = 7&#x2013;9 stars. If the answer is &#x201c;unclear&#x201d; or &#x201c;no&#x201d;, the item score is &#x201c;0&#x201d;. If the answer is &#x201c;yes&#x201d;, the score of the item is &#x201c;1&#x201d; (<xref ref-type="bibr" rid="B25">25</xref>). The quality of eligible articles were independently assessed by two investigators (Liu-lan Xiang and Yu-juan Zhang). Disagreements were discussed and solved by the third investigator (Yu-tian Cao).</p>
</sec>
<sec id="s2_4">
<title>Data synthesis and data analysis</title>
<p>To exclude potential heterogeneity, we estimated combined risk ratios (ORs) and corresponding 95% confidence intervals (CIs) by using a random effects model (<xref ref-type="bibr" rid="B26">26</xref>). The standardized mean difference (SMD) and 95% confidence interval (95% CI) of liver Cirrhosis index and controls were calculated and evaluated. Where articles provided studies with only median, range and/or interquartile spacing, we used the method proposed by Cai et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>) and McGrath et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>) to estimate the sample mean and SD.</p>
<p>We also used prespecified subgroup analysis to identify the main sources of heterogeneity and to assess the robustness of the pooled results. The subgroup were defined as follows: the age of participants (&#x2265; 60 years, &lt; 60 years, not reported; &#x2265; 18 years, &lt; 18 years in NAFLD liver fibrosis analysis), sex (women &#x2265; 50%, women &lt; 50%, not reported), BMI (normal weight, overweight or obese, not reported), follow-up years (&#x2265; 5 years, &lt;5 years), study location (Asia, others), sample size (&gt;median, &#x2264; median), and study type (case control study, cohort study) and the quality of study according to the NOS (7, 8, and 9 stars).</p>
<p>Futhermore, in order to establish an &#x201c;average&#x201d; dose-response relationship between thyroid function/hormone levels and risk of NAFLD based on the data of all available studies, the robust-error meta-regression (REMR) model was employed in this study (<xref ref-type="bibr" rid="B29">29</xref>). In regression model (<xref ref-type="bibr" rid="B30">30</xref>), non-linear curves were fitted by restricted cubic spline. The Wald test was used to test for non-linearity by assuming that the coefficient on the non-linear term was zero.</p>
<p>Statistical heterogeneity among the studies was quantified using the Cochrane Q statistic (p&lt;0.100 was considered indicative of statistically significant heterogeneity) and the I<sup>2</sup> statistic (ranges from 0% to 100% with lower values representing less heterogeneity) (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Besides, sensitivity analysis was performed to evaluate whether results from the individual study could substantially influence the pooled results of thyroid function levels and NAFLD. The funnel plot asymmetry test for measuring publication bias was not used because less than 10 studies were included in each analysis (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>All analyses were conducted using Stata MP 16 (StataCorp, College Station, TX). A two-tailed P&lt;0.050 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Search and selection result</title>
<p>Our search in four databases: PubMed, Embase, Cochrane Library, and Web of science, obtained 2184 records. At last, 10 studies for dose-response meta-analysis were identified. Of these, six articles were included to explore the relationship between thyroid hormone levels and the risk of NAFLD; five (with 1 duplicate) were selected to investigate the relationship between thyroid hormone levels and the fibrosis level in NAFLD (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram of study selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1399517-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Characteristics of included studies</title>
<p>6 publications involving 2 prospective cohort studies, 3 retrospective cohort studies and 1 case-control studies were included in our meta-analysis of thyroid hormone levels and the risk of NAFLD. Among these, 1 study was from European population and others were from Asia. The total sample population was 35,917 individuals and the average follow-up time was 6 years (<xref ref-type="table" rid="T1a">
<bold>Table&#xa0;1-A</bold>
</xref>). The Newcastle-Ottawa scale result showed that all 6 studies were of high quality with NOS scores of 7 stars or more.</p>
<table-wrap id="T1a" position="float">
<label>Table&#xa0;1-A</label>
<caption>
<p>Study characteristics of 6 Observational study (Thyroid hormones and NAFLD risk) included in the meta-analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Author, Study</th>
<th valign="middle" align="left">Study type</th>
<th valign="middle" align="left">Region;years</th>
<th valign="middle" align="left">Source of cases</th>
<th valign="middle" align="left">Outcomes; diagnostic method</th>
<th valign="middle" align="left">cases/total no. of subjects</th>
<th valign="middle" align="left">Age, y</th>
<th valign="middle" align="left">Female, %</th>
<th valign="middle" align="left">BMI,kg/m2</th>
<th valign="middle" align="left">Thyroid function group</th>
<th valign="middle" align="left">NOS</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Bano et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="left">prospective cohort study</td>
<td valign="middle" align="left">Netherlands;1990-2006</td>
<td valign="middle" align="left">The Rotterdam Study (RS)</td>
<td valign="middle" align="left">NAFLD;abdominal ultrasonographies;FIL</td>
<td valign="middle" align="left">1217/9419</td>
<td valign="middle" align="left">64.7&#xb1;9.7</td>
<td valign="middle" align="left">5321(56.5)</td>
<td valign="middle" align="left">27.2&#xb1;4.2</td>
<td valign="middle" align="left">Hypothyroidism</td>
<td valign="middle" align="right">9</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Euthyroidism</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Hyperthyroidism</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Lee, Cho et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="middle" align="left">retrospective cohort study</td>
<td valign="middle" align="left">Korea;2012-2018</td>
<td valign="middle" align="left">participants in a medical health check-up program at the Health Promotion Center of Kangbuk Samsung Hospital</td>
<td valign="middle" align="left">NAFLD;abdominal ultrasonography</td>
<td valign="middle" align="left">2348/18,544</td>
<td valign="middle" align="left">39.2&#xb1;5.9</td>
<td valign="middle" align="left">647(28)</td>
<td valign="middle" align="left">24.2&#xb1;2.4</td>
<td valign="middle" align="left">Euthyroidism</td>
<td valign="middle" align="right">9</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Subclinical Hypothyroidism</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Overt Hypothyroidism</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Wang, Niu et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="left">Case&#x2013;Control Study</td>
<td valign="middle" align="left">China;2014.9-2019.9</td>
<td valign="middle" align="left">who were hospitalized in the Department of Endocrinology of the First Hospital of Lanzhou University</td>
<td valign="middle" align="left">NAFLD;bdominal ultrasound</td>
<td valign="middle" align="left">212/400</td>
<td valign="middle" align="left">63 (53~73)</td>
<td valign="middle" align="left">107(50.5)</td>
<td valign="middle" align="left">22.83&#xb1;3.48</td>
<td valign="middle" align="left">Thyroid Autoimmunity Positive</td>
<td valign="middle" align="right">7</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Thyroid Autoimmune Negative</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Gu, Wu et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="middle" align="left">prospective dynamic cohort study</td>
<td valign="middle" align="left">China;2013-2019</td>
<td valign="middle" align="left">The Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) Cohort Study</td>
<td valign="middle" align="left">NAFLD;TOSHIBA SSA-660A ultrasound machine ultrasonography</td>
<td valign="middle" align="left">1675/6462</td>
<td valign="middle" align="left">51.5&#xb1;7.90</td>
<td valign="middle" align="left">621(37.1)</td>
<td valign="middle" align="left">25.3&#xb1;2.65</td>
<td valign="middle" align="left">TSH:0.55&#x2013;1.35(mIU/L); FT3:227&#x2013;293(pg/dL); FT4 :0.89&#x2013;1.07(ng/dL)</td>
<td valign="middle" align="right">8</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:1.36&#x2013;1.84(mIU/L); FT3:294&#x2013;322(pg/dL); FT4:1.08&#x2013;1.18(ng/dL)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:1.85&#x2013;2.52(mIU/L); FT3:323&#x2013;349(pg/dL); FT4:1.19&#x2013;1.31(ng/dL)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.53&#x2013;4.78(mIU/L); FT3:350&#x2013;422(pg/dL); FT4:1.32&#x2013;1.76(ng/dL)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Zhang, Li et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="left">retrospective cohort study</td>
<td valign="middle" align="left">China;2016-2018</td>
<td valign="middle" align="left">clinical analysis of 980 T2DM patients recruited and admitted, from March 2016 to December 2018, to the department of endocrinology of the First Affiliated Hospital of Anhui University of Traditional Chinese Medicine</td>
<td valign="middle" align="left">NAFLD;abdominal color ultrasound</td>
<td valign="middle" align="left">346/980</td>
<td valign="middle" align="left">58.5(52&#x2013;66)</td>
<td valign="middle" align="left">184(53)</td>
<td valign="middle" align="left">26.25&#xb1;3.37</td>
<td valign="middle" align="left">TSH:2.5104&#xb1;1.1098(uIU/L); FT3:3.95&#xb1;0.50(pmol/L); FT4:12.55&#xb1;1.40(pmol/L)</td>
<td valign="middle" align="right">7</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.0308(1.3439&#x2013;2.7457)(uIU/L); FT3:4.06&#xb1;0.47(pmol/L); FT4:13.12&#xb1;2.49(pmol/L)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Nien, Sheu et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="left">cohort study</td>
<td valign="middle" align="left">Taiwan,China;one-year</td>
<td valign="middle" align="left">These 122 subjects visited the clinics</td>
<td valign="middle" align="left">fatty liver;abdominal ultrasonography(Toshiba SSA-320A, SSA-660A, or Aplio 300,)</td>
<td valign="middle" align="left">95/112</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">TSH:1.36&#xb1;0.78(&#x3bc;U/mL); FT4:1.05&#xb1;0.13(ng/dL)</td>
<td valign="middle" align="right">6</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.01&#xb1;0.91(&#x3bc;U/mL); FT4:1.04&#xb1;0.09(ng/dL)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:1.89&#xb1;1.31(&#x3bc;U/mL); FT4:1.02&#xb1;0.12(ng/dL)</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NA means not applicable.</p>
</table-wrap-foot>
</table-wrap>
<p>In addition, we selected one study (<xref ref-type="bibr" rid="B20">20</xref>) from the 6 studies above and identified other 4 studies (2 studies in Asia, one in Africa and one from the Turkish population) to conduct the meta-analysis of thyroid hormones and liver fibrosis in NAFLD. These 4 studies also scored more than 6 stars in NOS. The sample population of was 2,508 participants in all with a follow-up period of 1&#x2013;10 years (<xref ref-type="table" rid="T1b">
<bold>Table&#xa0;1-B</bold>
</xref>).</p>
<table-wrap id="T1b" position="float">
<label>Table&#xa0;1-B</label>
<caption>
<p>Study characteristics of 5 Observational study (Thyroid hormones and NAFLD liver cirrhosis index) included in the meta-analysis(One article was used in two studies).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Author, Study</th>
<th valign="middle" align="left">Study type</th>
<th valign="middle" align="left">Region;years</th>
<th valign="middle" align="left">Source of cases</th>
<th valign="middle" align="left">Thyroid function group</th>
<th valign="middle" align="left">Outcomes;diagnostic method</th>
<th valign="middle" align="left">total no. of subjects</th>
<th valign="middle" align="left">Mean&#xb1;SD</th>
<th valign="middle" align="left">cases no. of subjects</th>
<th valign="middle" align="left">Age, y</th>
<th valign="middle" align="left">Female, %</th>
<th valign="middle" align="left">BMI,kg/m2</th>
<th valign="middle" align="left">NOS</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>T&#xfc;rker, Oral et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="left">retrospective cohort study</td>
<td valign="middle" align="left">Turkey;2010.1-2020.1</td>
<td valign="middle" align="left">data from living donor candidates who underwent liver biopsies and patients with NASH-associated cirrhosis at the Gastroenterology and Internal Medicine Department, Florence Nightingale Hospital, Demiroglu Bilim University</td>
<td valign="middle" align="left">TSH:2.72&#xb1;8.13(mIU/L); FT3:4.11&#xb1;22(mIU/L); FT4:8.14&#xb1;7.10(mIU/L)</td>
<td valign="middle" align="left">liver Cirrhosis index;FIB-4</td>
<td valign="middle" align="right">436</td>
<td valign="middle" align="left">0.6&#xb1;0.2</td>
<td valign="middle" align="right">142</td>
<td valign="middle" align="left">34.08&#xb1;9.00</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">24.70&#xb1;3.30</td>
<td valign="middle" align="right">8</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.00&#xb1;1.20(mIU/L); FT3:4.82&#xb1;1.56(mIU/L); FT4:3.34&#xb1;0.83(mIU/L)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.6&#xb1;0.2</td>
<td valign="middle" align="right">226</td>
<td valign="middle" align="left">34.25&#xb1;8.7</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">27.20&#xb1;4.00</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.58&#xb1;2.73(mIU/L); FT3:13.74&#xb1;10.28(mIU/L); FT4:13.41&#xb1;6.32(mIU/L)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">6.4&#xb1;4.0</td>
<td valign="middle" align="right">68</td>
<td valign="middle" align="left">59.93&#xb1;6.7</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">30.30&#xb1;5.11</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Nien, Sheu et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="middle" align="left">cohort study</td>
<td valign="middle" align="left">Taiwan,China;one-year</td>
<td valign="middle" align="left">These 122 subjects visited the clinics</td>
<td valign="middle" align="left">TSH:1.36&#xb1;0.78(&#x3bc;U/mL); FT4:1.05&#xb1;0.13(ng/dL)</td>
<td valign="middle" align="left">liver Cirrhosis index;FIB-4</td>
<td valign="middle" align="right">122</td>
<td valign="middle" align="left">0.927&#xb1;0.397</td>
<td valign="middle" align="right">21</td>
<td valign="middle" align="left">49.0&#xb1;10.0</td>
<td valign="middle" align="left">3(12.5)</td>
<td valign="middle" align="left">21.6&#xb1;1.9</td>
<td valign="middle" align="right">6</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.01&#xb1;0.91(&#x3bc;U/mL); FT4:1.04&#xb1;0.09(ng/dL)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.956&#xb1;0.389</td>
<td valign="middle" align="right">39</td>
<td valign="middle" align="left">50.6&#xb1;10.0</td>
<td valign="middle" align="left">25(64.1)</td>
<td valign="middle" align="left">24.9&#xb1;1.6</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:1.89&#xb1;1.31(&#x3bc;U/mL); FT4:1.02&#xb1;0.12(ng/dL)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.850&#xb1;0.410</td>
<td valign="middle" align="right">62</td>
<td valign="middle" align="left">48.9&#xb1;10.8</td>
<td valign="middle" align="left">35(56.45)</td>
<td valign="middle" align="left">29.4&#xb1;4.1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Du, Chai et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">case-control study</td>
<td valign="middle" align="left">China;2014.12-2019.10</td>
<td valign="middle" align="left">Cases with T2DM who were admitted to the Endocrinology Department of Peking University International Hospital</td>
<td valign="middle" align="left">TSH:2.01(1.34, 2.97)(mU/L); FT3:4.50&#xb1;1.01(pmol/L); FT4:16.69&#xb1;10.95(pmol/L)</td>
<td valign="middle" align="left">liver Cirrhosis index;FIB-4</td>
<td valign="middle" align="right">1422</td>
<td valign="middle" align="left">1.068(0.774, 1.465)</td>
<td valign="middle" align="right">586</td>
<td valign="middle" align="left">57.28&#xb1;14.13</td>
<td valign="middle" align="left">288(38.91)</td>
<td valign="middle" align="left">25.38&#xb1;4.04</td>
<td valign="middle" align="right">8</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.05(1.29, 2.87)(mU/L); FT3:4.21&#xb1;1.50(pmol/L); FT4:16.42&#xb1;7.46(pmol/L)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.162(0.857, 1.590)</td>
<td valign="middle" align="right">836</td>
<td valign="middle" align="left">53.07&#xb1;13.32</td>
<td valign="middle" align="left">308(36.84)</td>
<td valign="middle" align="left">26.32&#xb1;3.68</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Naguib, Fayed et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">case-control study</td>
<td valign="middle" align="left">Egypt;NA</td>
<td valign="middle" align="left">who had NAFLD and were evaluated in the Hepatology Outpatient Clinics in Alexandria University Hospitals.</td>
<td valign="middle" align="left">TSH:3.3&#xb1;1.2(&#x3bc;IU/ml); FT4:1 &#xb1;0.3(ng/dl)</td>
<td valign="middle" align="left">liver Cirrhosis index;FIB-4</td>
<td valign="middle" align="right">100</td>
<td valign="middle" align="left">2.4 &#xb1;1.9</td>
<td valign="middle" align="right">50</td>
<td valign="middle" align="left">47.9&#xb1;3</td>
<td valign="middle" align="left">28 (56)</td>
<td valign="middle" align="left">31.6 &#xb1;4.7</td>
<td valign="middle" align="right">6</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">TSH:2.2&#xb1;0.8(&#x3bc;IU/ml); FT4:1.2 &#xb1;0.3(ng/dl)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.7 &#xb1;0.3</td>
<td valign="middle" align="right">50</td>
<td valign="middle" align="left">45.7&#xb1;4</td>
<td valign="middle" align="left">27 (54)</td>
<td valign="middle" align="left">25.4 &#xb1;2.3</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">
<bold>Choi, Yi et&#xa0;al.</bold> (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">retrospective cohort study</td>
<td valign="middle" align="left">Korea;2015.1-2019.12</td>
<td valign="middle" align="left">10 centers in Korea: Chungnam National University Hospital, Inje University Haeundae Paik Hospital, Chung-Ang University Hospital, Jeonbuk National University Hospital, Kyungpook National University Children's Hospital, Korea University Anam Hospital, Soonchunhyang University Bucheon Hospital, Nowon Eulji Medical Center, Keimyung University Dongsan Medical Center, and Inje University Ilsan Paik Hospital.</td>
<td valign="middle" align="left">Euthyroidism</td>
<td valign="middle" align="left">liver Cirrhosis index;APRI score</td>
<td valign="middle" align="right">428</td>
<td valign="middle" align="left">0.67 &#xb1; 0.50</td>
<td valign="middle" align="right">370</td>
<td valign="middle" align="left">12.16&#xb1;2.97</td>
<td valign="middle" align="left">110(29.7)</td>
<td valign="middle" align="left">28.04&#xb1;5.00</td>
<td valign="middle" align="right">6</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">SH</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.06 &#xb1; 0.89</td>
<td valign="middle" align="right">58</td>
<td valign="middle" align="left">12.19&#xb1;3.31</td>
<td valign="middle" align="left">16(27.6)</td>
<td valign="middle" align="left">28.40&#xb1;4.84</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NA means not applicable.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Thyroid hormone levels and risk of NAFLD</title>
<sec id="s3_3_1">
<title>High versus Low</title>
<p>We compared the highest and lowest level of thyroid hormones to analyse the relationship between TSH, FT4 and the risk of NAFLD in six studies (35,917 participants). High serum TSH level (OR=0.670, 95%CI 0.336&#x2013;1.341, I<sup>2</sup> = 96.6%, P=0.259), and high FT4 (OR=1.190, 95%CI 0.540 to 2.590, I<sup>2</sup> = 95.5%, p=0.666) were found to not be significantly related with NAFLD risk (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>). For FT3, we have pooled the effects of 2 articles (7,442 participants) and found a significant relationship between high serum FT3 concentrations (OR=1.580, 95%CI 1.370 to 1.830, I<sup>2</sup> = 0.0%, p&lt;0.001, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>) and incidence of NAFLD.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot of the risk of NAFLD associated with Thyroid hormones. <bold>(A)</bold> Association between TSH and risk of NAFLD. <bold>(B)</bold> Association between FT4 and risk of NAFLD. <bold>(C)</bold> Association between FT3 and risk of NAFLD. The hollow diamond represents the merged OR. The error bar represents a 95% confidence interval.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1399517-g002.tif"/>
</fig>
</sec>
<sec id="s3_3_2">
<title>Dose-response analysis</title>
<p>We also performed a dose-response meta-analysis of the included 6 studies with the REMR model to further illustrate the possible link between different level of THs and the risk of NAFLD. There seemed to exist a non-linear dose-response association between the TSH level and the relative risk of NAFLD, which presented as a &#x201c;U&#x201d; shape (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). What&#x2019;s more, FT4 level showed a significant negative non-linear correlation with the risk of NAFLD (p=0.003) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). After fitting the data with the three-section RCS, we found that when FT4 levels were above 1.019 ng/dL, every 1 ng/dL increase in FT4 would lead to a 10.56% reduction in the relative risk of NAFLD (Additional file 4). Regretfully, this result only disaplayed a trend since it was not statistically significant (p=0.652). As for the association between the FT3 level and the risk of NAFLD, the limited sample size was not enough to perform the dose-response meta-analysis.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Dose response relationship between TSH, FT4 level and NAFLD risk. <bold>(A)</bold> Dose-response relationship between TSH levels and relative risk of NAFLD. <bold>(B)</bold> Dose-response relationship between FT4 levels and relative risk of NAFLD.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1399517-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_4">
<title>Thyroid hormone levels and extent of liver fibrosis</title>
<sec id="s3_4_1">
<title>High versus Low</title>
<p>We collected 5 articles with 2,508 participants to explore the relationship between THs level and the extent of liver fibrosis. The result of random-effects model indicated that the estimated value of the combined effect size of the SMD point was 1.320 (95%CI 0.660 to 1.970, p&lt;0.001) related to liver fibrosis and TSH level, suggesting that the incidence of liver fibrosis in high TSH level group was significantly higher than in the low TSH group (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Additionally, as continuous variables, FT4 (SMD=0.790, 95%CI -0.120 to 1.70, p=0.090), or FT3 (SMD=-4.210, 95%CI -29.250 to 20.830, p=0.742) did not significantly correlate with the extent of liver fibrosis (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4B, C</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of NAFLD liver cirrhosis index associated with Thyroid hormones. <bold>(A)</bold> Association between TSH and NAFLD liver cirrhosis index. <bold>(B)</bold> Association between FT4 and NAFLD liver cirrhosis index. <bold>(C)</bold> Association between FT3 and NAFLD liver cirrhosis index. The hollow diamond represents the merged SMD. The error bar represents a 95% confidence interval.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1399517-g004.tif"/>
</fig>
</sec>
<sec id="s3_4_2">
<title>Dose-response analysis</title>
<p>We also conducted a dose-response meta-analysis of five studies using the REMR model. There was no dose-response correlation between TSH levels (p=0.273), serum FT4 levels (p=0.391) and the degree of hepatic fibrosis (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Dose response relationship between TSH, FT4 level and NAFLD liver cirrhosis index. <bold>(A)</bold> Dose-response relationship between TSH levels and NAFLD liver cirrhosis index. <bold>(B)</bold> Dose-response relationship between FT4 levels and NAFLD liver cirrhosis index.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1399517-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s3_5">
<title>Subgroup and sensitivity analyses</title>
<p>We conducted subgroup analyses based on age, gender, study site, BMI, years of follow-up, sample size, quality scores and study design. As shown in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>, subgroup analysis of the TSH-NAFLD correlation in studies of individuals under 60 years old showed a significant negative correlation between high TSH levels and NAFLD (OR=0.842, 95%CI 0.754 to 0.941, p=0.002). High TSH concentrations in subgroups with less than 50% female representation (OR=0.853, 95%CI 0.760 to 0.957, p=0.007) were significantly associated with low risk of NAFLD (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). There was a significant correlation between high TSH level and liver fibrosis in the cohorts aged &gt;18 (SMD=1.680, 95%CI 0.761 to 2.599, P&lt;0.001) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). High TSH level was also remarkably associated with liver fibrosis in NAFLD in cohorts from an Asian population (SMD=0.650, 95%CI 0.077 to 1.224, P=0.026) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). Furthermore, high TSH level was also significantly associated with liver fibrosis in cohorts with sample sizes above the median (SMD=1.915, 95%CI 0.453 to 3.376, P=0.010) and in subgroups of cohort studies (SMD=1.915, 95%CI 0.453 to 3.376, P=0.010) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). The subgroup analysis of the association between serum FT4, the risk of NAFLD and liver fibrosis extent obtained no significant results (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6B, D</bold>
</xref>). The results were stable by omitting one study at once (Additional file 5). According to the guidelines, meta-regression and publication bias were not conducted after considering the limited numbers of included studies (N&lt;10).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Subgroup analyses. <bold>(A)</bold> Subgroup analyses of TSH levels and relative risk of NAFLD. <bold>(B)</bold> Subgroup analyses of FT4 levels and relative risk of NAFLD. <bold>(C)</bold>  Subgroup analysis of TSH levels versus NAFLD liver cirrhosis index. <bold>(D)</bold> Subgroup analysis of FT4 levels versus NAFLD liver cirrhosis index.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1399517-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The purpose of this study was to evaluate the relationship between the thyroid function and NAFLD risk as well as the NAFLD-related fibrosis markers. After finishing this meta-analysis of 10 published observational studies, we found that high levels of FT3 are significantly associated with a high risk of NAFLD. Also, there was a significant nonlinear inverse association between elevated FT4 and incidence of NAFLD. What&#x2019;s more, we found that indicators of liver fibrosis were significantly higher in individuals with high TSH hormone levels.</p>
<p>Thyroid hormones are known to play significant role in regulating the whole-body energy expenditure as well as hepatic lipid metabolism (<xref ref-type="bibr" rid="B4">4</xref>). The inner relationship between NAFLD and thyroid hormones was then questioned and studied nowadays. Interestingly, in some clinical traials, thyroxine supplementation has been found to improve obesity and NAFLD to some extent (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). High dosages of T3 were also previously used to promote weight loss in obese patients and to treat hypercholesterolemia (<xref ref-type="bibr" rid="B4">4</xref>). Although severe cardiac problems and loss of lean body mass prevent it from becoming a practical treatment, the finding still reinforces the validation of a potentially close relationship between thyroid hormones and metabolic disorders such as NAFLD. Several published meta-analyses (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>) and clinical studies (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>) reached the conclusion that hypothyroidism strongly associated with NAFLD. A cross-sectional study from Korea (<xref ref-type="bibr" rid="B37">37</xref>), of which subjects were classified into subclinical hypothyroidism and overt hypothyroidism according to their TSH, T4, and FT4 levels, found that the spectrum of hypothyroidism correlated with NAFLD in a dose-dependent manner. This finding was consistent with a study from China (<xref ref-type="bibr" rid="B38">38</xref>), which suggested that even within the reference range, the gradual increase in serum FT4 level accompanied with reduced prevalence of NAFLD.</p>
<p>Our study also supported the notion that the risk of NAFLD increased with decreasing FT4 in a dose-dependent way. However, our analysis result does not fit perfectly with the assumption that strong association exists between hypothyroidism and NAFLD risk. Another study from Germany (<xref ref-type="bibr" rid="B39">39</xref>) came up with a similar result that even though serum TSH and FT3 concentrations were inconsistently associated with hepatic steatosis, low FT4 concentrations were significantly associated with hepatic steatosis. We did not find a clear dose-dependent relationship between TSH and NAFLD, and high levels of FT3 were associated with higher risk of NAFLD. It is possible that polymorphisms in the TSH receptor affect the plasma TSH to thyroid hormone ratio (<xref ref-type="bibr" rid="B40">40</xref>), genetic determinants, and aging can alter the set point of the TSH-FT4 feedback mechanism, resulting in a weaker TSH-FT4 association (<xref ref-type="bibr" rid="B15">15</xref>). The overall meta-analysis of TSH on the degree of liver fibrosis in NAFLD conducted by us found that individuals with higher levels of TSH had more significant liver fibrosis, which may confirm the relationship between TSH and FT4, and is also in line with other clinical studies. Mart&#xed;nez-Escud&#xe9; et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>) found that TSH could be an independent risk factor for NAFLD and liver fibrosis in the general population. The study found the FIB-4 index of patients with subclinical hypothyroidism was higher than that of subjects with normal thyroid function (<xref ref-type="bibr" rid="B42">42</xref>). Punekar et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>) found significantly higher TSH levels in patients with cirrhosis compared to controls. Therefore, it is very likely that there is a correlation between TSH levels and the severity of liver disease. However, we unfortunately did not obtain a significant dose-response relationship between TSH and liver fibrosis after integrating the results of more large observational studies.</p>
<p>Studies have shown that low normal FT4 levels are significantly associated with higher insulin resistance but the relationship between FT3 and various metabolic syndrome features is unclear (<xref ref-type="bibr" rid="B40">40</xref>). In addition, clinical pharmacists and endocrinologists generally agree that FT3 levels within the normal range are not strongly related to thyroid function. Therefore, FT3 and FT4 may not be completely synchronized, but this does not mean that FT3 not relate to NAFLD. The investigators (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>) found that low FT3 levels appeared to be an independent risk factor for NAFLD and advanced liver fibrosis. Physiologically, FT3 is a biologically active form of thyroid hormone that, by binding to TR&#x3b2; in hepatocytes (<xref ref-type="bibr" rid="B44">44</xref>), reduces intrahepatic triglyceride and cholesterol content (<xref ref-type="bibr" rid="B45">45</xref>), as well as inflammation and oxidative stress, and restores mitochondrial function in hepatocytes (<xref ref-type="bibr" rid="B46">46</xref>), to prevent the onset and progression of liver fibrosis. Correspondingly, more and more researchers (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>) have validated the FT3/FT4 ratio as a noninvasive marker of NAFLD through clinical studies. If this hypothesis is true, the clinical diagnosis and prevention of NAFLD will be further improved.</p>
<p>As there is a correlation between hypothyroidism and NAFLD, it&#x2019;s worth exploring if there also exists a causal relationship, which could be explained by the dose-response relationship between thyroid hormone/hypothyroidism and NAFLD. This question is also important as to whether thyroid hormone can be used clinically as a serum marker of NAFLD. A recently published mendelian randomization study (<xref ref-type="bibr" rid="B49">49</xref>) noted a suggestive association between hypothyroidism and NAFLD. However, after adjusting for genetically predicted BMI, the association was not significant, suggesting that this association might be influenced by BMI. The association between thyroid dysfunction and NAFLD affected by BMI, dyslipidemia and other factors was also observed in the prospective cohort study conducted by Bano et&#xa0;al (<xref ref-type="bibr" rid="B15">15</xref>). In our subgroup analysis, the association between TSH and NAFLD was also changed after adjusting for age, gender and other factors. In summary, we may hypothesize that thyroid dysfunction contributes to the development and progression of NAFLD, but it may be influenced by other factors (<xref ref-type="bibr" rid="B50">50</xref>), which need to be considered if thyroid hormones are used to model NAFLD non-invasive diagnostic tools. Of course, it still needs to be further investigated through analyzing longer prospective studies with larger samples.</p>
<p>Furthermore, this meta-analysis is the first to include high-quality (NOS&gt;6) observational studies (case-control studies, cohort studies), and to conduct two methods (overall and dose-response meta-analysis) to explore the relationship between thyroid hormones and the risk of NAFLD and liver fibrosis. Be that as it may, this study still suffers from the following shortcomings. Firstly, although we included observational studies, the prospective cohort studies were more convincing in terms of the level of evidence for evidence-based medicine. Secondly, in the included studies the investigators focused more on TSH and FT4, but not on FT3 or other thyroid peroxidase antibody titers for which the amount of data was too small to allow adequate meta-analysis. Thirdly, the small range of thyroid hormones explored in the current article fails to observe the effect of higher levels of thyroid hormones on NAFLD, as well as possible implications for the study results. Forthly, the heterogeneity of the study results cannot be ignored. Although we explored the sources of heterogeneity through subgroup and sensitivity analyses, we were still unable to explain this phenomenon well. Due to the limited number of studies, the possibility of chance (&#x201c;false positives&#x201d;) for &#x201c;positive&#x201d; results in subgroup analyses cannot be ruled out.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>In conclusion, this meta-analysis suggests that high FT4, FT3 levels were associated with increased NAFLD, while high TSH levels positively correlated with liver fibrosis. However, more comprehensive prospective studies with larger samples are still needed to further clarify the relationship between thyroid-related hormones and NAFLD and to achieve more clinically meaningful evidence.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>LX: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Visualization, Methodology, Funding acquisition, Data curation, Conceptualization. YC: Writing &#x2013; original draft, Methodology, Conceptualization. JS: Writing &#x2013; review &amp; editing, Project administration, Conceptualization. RL: Writing &#x2013; original draft, Software, Investigation, Data curation. FQ: Writing &#x2013; original draft, Project administration, Methodology, Data curation. YZ: Writing &#x2013; original draft, Investigation, Data curation. WZ: Writing &#x2013; original draft, Investigation, Data curation. lY: Writing &#x2013; review &amp; editing, Funding acquisition. XZ: Writing &#x2013; review &amp; editing, Supervision, Funding acquisition, Conceptualization.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) and 2023 Jiangsu Province Graduate Student Practice and Innovation Program (SJCX23_0787&#x3001;SJCX23_0778&#x3001;SJCX23_0785), Jiangsu Provincial Hospital of Traditional Chinese Medicine Top Level Project(Y22002). The funding source was used for article processing charges. Beyond that, the founder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.</p>
</sec>
<sec id="s8" 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="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2024.1399517/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2024.1399517/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.doc" id="SM1" mimetype="application/msword"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>NAFLD, nonalcoholic fatty liver disease; RCS, restricted cubic spline function; NAFL, non-alcoholic fatty liver; NASH, nonalcoholic steatohepatitis; TSH, thyroid stimulating hormone; FT4, Free thyroxine; FT3, Free triiodothyronine; TH, thyroid hormone; DNL, <italic>de novo</italic> lipogenesis; FAO, beta-oxidation; THR, Thyroid hormone receptors; BMI, body mass index; ORs, report odds ratios; RRs, relative risks; HRs, or hazard ratios; 95% CI, 95% confidence interval; MOOSE, Meta-analysis of Observational Studies in Epidemiology; PRISMA, Preferred Reporting Items for a Systematic Review and Meta-analysis; AHRQ, Agency for Healthcare Research and Quality; NOS, Newcastle-Ottawa Scale; SMD, Standardized mean difference; REMR, the robust-error meta-regression model.</p>
</fn>
</fn-group>
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