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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.2024.1370985</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Causal roles of circulating cytokines in sarcopenia-related traits: a Mendelian randomization study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Zhi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1886676"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Sun</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2741167"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Shi</surname>
<given-names>Tengbin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1936635"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Chenyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Chengjian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Zhengru</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lin</surname>
<given-names>Jiajun</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/2583315"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Orthopedics, Fujian Medical University Union Hospital</institution>,
<addr-line>Fuzhou, Fujian</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Emergency, Zhaotong Traditional Chinese Medicine Hospital</institution>,
<addr-line>Zhaotong, Yunnan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jue Lin, University of California, San Francisco, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: I-Shiang Tzeng, National Taipei University, Taiwan</p>
<p>Wei Huang, First Affiliated Hospital of Chongqing Medical University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Jiajun Lin, <email xlink:href="mailto:ljjunion@126.com">ljjunion@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1370985</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>08</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Chen, Sun, Shi, Song, Wu, Wu and Lin</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Chen, Sun, Shi, Song, Wu, Wu and Lin</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>Epidemiological and experimental evidence suggests that chronic inflammation plays an important role in the onset and progression of sarcopenia. However, there is inconsistent data on the inflammatory cytokines involved in the pathogenesis of sarcopenia. Therefore, we performed a two-sample Mendelian randomization (MR) analysis to explore the causal relationship between circulating cytokines and sarcopenia-related traits.</p>
</sec>
<sec>
<title>Methods</title>
<p>The MR analysis utilized genetic data from genome-wide association study that included genetic variations in 41 circulating cytokines and genetic variant data for appendicular lean mass (ALM), hand grip strength, and usual walking pace. Causal associations were primarily explored using the inverse variance-weighted (IVW) method, supplemented by MR-Egger, simple mode, weighted median, and weighted mode analyses. Additionally, sensitivity analyses were also performed to ensure the reliability and stability of the results.</p>
</sec>
<sec>
<title>Results</title>
<p>Three cytokines [hepatocyte growth factor (HGF), interferon gamma-induced protein 10 (IP-10), and macrophage colony-stimulating factor (M-CSF)] were positively associated with ALM (&#x3b2;: 0.0221, 95% confidence interval (CI): 0.0071, 0.0372, <italic>P</italic>= 0.0039 for HGF; &#x3b2;: 0.0096, 95%CI: 4e-04, 0.0189, <italic>P</italic>= 0.0419 for IP-10; and &#x3b2;: 0.0100, 95%CI: 0.0035, 0.0165, <italic>P</italic>= 0.0025 for M-CSF). Conversely, higher levels of interleukin-7 (IL-7), monocyte chemotactic protein 3 (MCP-3), and regulated on activation, normal T cell expressed and secreted (RANTES) were associated with decreased hand grip strength (&#x3b2;: -0.0071, 95%CI: -0.0127, -0.0014, <italic>P</italic>= 0.0140 for IL-7; &#x3b2;: -0.0064, 95%CI: -0.0123, -6e-04, <italic>P</italic>= 0.0313 for MCP-3; and &#x3b2;: -0.0082, 95%CI: -0.0164, -1e-04, <italic>P</italic>= 0.0480 for RANTES). Similarly, interleukin 1 receptor antagonist (IL-1RA) was negatively correlated with usual walking pace (&#x3b2;: -0.0104, 95%CI: -0.0195, -0.0013, <italic>P</italic>= 0.0254). Sensitivity analysis confirmed the robustness of these findings.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our study provides additional insights into the pivotal role of specific inflammatory cytokines in the pathogenesis of sarcopenia. Further research is required to determine whether these cytokines can be used as targets for the prevention and treatment of sarcopenia.</p>
</sec>
</abstract>
<kwd-group>
<kwd>inflammation</kwd>
<kwd>cytokines</kwd>
<kwd>sarcopenia</kwd>
<kwd>causal analysis</kwd>
<kwd>Mendelian randomization</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="9"/>
<word-count count="3370"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Endocrinology of Aging</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Sarcopenia is an age-related disease characterized by gradual loss of muscle mass, strength, and function, leading to an increased risk of falls, fractures, hospitalization, and death (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Owing to population aging, the incidence of sarcopenia is increasing annually by 10&#x2013;27% worldwide (<xref ref-type="bibr" rid="B3">3</xref>). With the increasing prevalence, the pathogenesis and therapeutic targets of sarcopenia have emerged as research hotspots. An increasing number of studies indicated that a condition known as &#x2018;inflammaging&#x2019;, which was a sterile, chronic, low-grade systemic inflammatory state, might be closely related to the occurrence and progression of sarcopenia (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Inflammation serves as a crucial protective and defensive mechanism within the body. Nonetheless, chronic local and systemic inflammation may result in the dysfuntion of immune cells, a perturbation in the balance between pro-inflammatory and anti-inflammatory cytokines, heightened oxidative stress, and disruptions in cellular metabolism, potentially culminating in apoptosis (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). However, there have been inconsistent reports about the inflammatory cytokines identified to be involved in the pathogenesis of sarcopenia. In the ENHANce study, Dupont et&#xa0;al. (<xref ref-type="bibr" rid="B8">8</xref>) observed lower levels of IL-6 in patients with sarcopenia, while in another study, Rong et&#xa0;al. (<xref ref-type="bibr" rid="B9">9</xref>) reported increased IL-6 levels in elderly subjects with sarcopenia. Several studies revealed that sarcopenia risk increases with circulating cytokines, such as CRP, IL-10, growth differentiation factor-15, and TNF-&#x3b1; (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). A meta-analysis revealed a significant correlation between elevated levels of CRP, IL-6, and TNF-&#x3b1; and reduced hand grip and knee extension strength (<xref ref-type="bibr" rid="B11">11</xref>). However, a discordance exists, as some studies have reported no significant association between CRP, IL-2, IL-6, IL-10, TNF-&#x3b1;, and sarcopenia (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Existing studies, which have drawn contradictory conclusions, were either based on a limited sample size or only explored the correlation between a few inflammatory markers and sarcopenia and the observational study design might be affected by confounding factors and reverse causality (<xref ref-type="bibr" rid="B13">13</xref>). Thus, we conducted a Mendelian randomization (MR) study to investigate the causal relationship between circulating cytokines levels and sarcopenia-related traits.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study design</title>
<p>To establish a potential causal link between circulating cytokines and sarcopenia-related traits, including appendicular lean mass (ALM), hand grip strength, and usual walking pace, we conducted a two-sample MR study. The analysis was based on three assumptions: (1) instrumental variables (IVs) are strongly associated with circulating cytokines, (2) IVs are not associated with confounding factors, and (3) IVs only affect sarcopenia-related traits via circulating cytokines (<xref ref-type="bibr" rid="B14">14</xref>). The study design is illustrated in <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>The schematic diagram of the present.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1370985-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Data sources</title>
<p>The summary statistics and IVs for circulating levels of 41 cytokines were derived from a genome-wide association study (GWAS) that comprised 8293 European participants (<xref ref-type="bibr" rid="B15">15</xref>). Three GWAS summary statistics for sarcopenia-related traits [ALM (n=450243), hand grip strength (n=461089), and usual walking pace (n=459915)] were extracted from UK Biobank. These GWAS data can be downloaded from the IEU Open GWAS project (<ext-link ext-link-type="uri" xlink:href="https://gwas.mrcieu.ac.uk/">https://gwas.mrcieu.ac.uk/</ext-link>); detailed information is provided in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Details of the genome-wide association studies and datasets used in this study.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Exposure or outcome</th>
<th valign="middle" align="center">Sample size</th>
<th valign="middle" align="center">Ancestry</th>
<th valign="middle" align="center">Links for data</th>
<th valign="middle" align="center">PMID</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Circulating concentrations of 41 cytokines</td>
<td valign="middle" align="center">8,293 participants</td>
<td valign="middle" align="center">European ancestry</td>
<td valign="middle" align="left">
<ext-link ext-link-type="uri" xlink:href="https://data.bris.ac.uk/data/dataset?q=cytokines&amp;level=top">https://data.bris.ac.uk/data/dataset?q=cytokines&amp;level=top</ext-link>
</td>
<td valign="middle" align="center">27989323</td>
</tr>
<tr>
<td valign="middle" align="left">Appendicular lean mass</td>
<td valign="middle" align="center">450243 participants</td>
<td valign="middle" align="center">European ancestry</td>
<td valign="middle" align="left">
<ext-link ext-link-type="uri" xlink:href="http://gwas.mrcieu.ac.uk/datasets/ebi-a-GCST90000025/">http://gwas.mrcieu.ac.uk/datasets/ebi-a-GCST90000025/</ext-link>
</td>
<td valign="middle" align="center">33097823</td>
</tr>
<tr>
<td valign="middle" align="left">Hand grip strength (right)</td>
<td valign="middle" align="center">461089 participants</td>
<td valign="middle" align="center">European ancestry</td>
<td valign="middle" align="left">
<ext-link ext-link-type="uri" xlink:href="http://gwas.mrcieu.ac.uk/datasets/ukb-b-10215/">http://gwas.mrcieu.ac.uk/datasets/ukb-b-10215/</ext-link>
</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Usual walking pace</td>
<td valign="middle" align="center">459915 participants</td>
<td valign="middle" align="center">European ancestry</td>
<td valign="middle" align="left">
<ext-link ext-link-type="uri" xlink:href="http://gwas.mrcieu.ac.uk/datasets/ukb-b-4711/">http://gwas.mrcieu.ac.uk/datasets/ukb-b-4711/</ext-link>
</td>
<td valign="middle" align="center">NA</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Extraction of IVs</title>
<p>Based on the GWAS summary data for circulating cytokines, several quality control steps were performed to select eligible IVs. First, we extracted SNPs associated with circulating cytokines with genome-wide significance (P &lt; 5 &#xd7; 10<sup>&#x2212;6</sup>). Second, to ensure that potential SNPs for circulating cytokines were not in linkage disequilibrium (LD), the threshold was set to r<sup>2</sup> = 0.001 within a distance of 10000 kb (<xref ref-type="bibr" rid="B16">16</xref>). Finally, the F-statistics were calculated after harmonization. IVs with F-statistics &gt;10 were considered sufficiently strong to mitigate the effects of potential bias (<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s2_4">
<title>MR analysis</title>
<p>Five statistical methods were applied to obtain reliable results: MR-Egger, weighted median, inverse variance weighting (IVW), simple mode, and weighted mode (<xref ref-type="bibr" rid="B18">18</xref>). In cases where significant heterogeneity was observed, a random-effects method was performed; while, in other cases, a fixed-effects model was used. The MR estimates are presented as beta values (&#x3b2;) and corresponding 95% confidence intervals (CIs), with <italic>P</italic>-values &lt; 0.05 considered statistically significant.</p>
</sec>
<sec id="s2_5">
<title>Sensitivity analyses</title>
<p>To detect potential heterogeneity, we performed Cochran&#x2019;s Q test and visualized funnel plots, with a <italic>P</italic>-value &lt; 0.05 as the threshold of significance. Further, MR-Egger regression was performed and scatter plots were prepared, and an intercept term <italic>P</italic> -value &lt; 0.05 was considered to have pleiotropy effects. Finally, we performed the Mendelian Randomization Pleiotropy Residual Sum and Outlier (MR-PRESSO) test to detect and remove outliers, and retested the results (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s2_6">
<title>Software</title>
<p>All statistical analyses were conducted using &#x201c;Two-Sample MR,&#x201d; &#x201c;Mendelian Randomization,&#x201d; and &#x201c;MR-PRESSO&#x201d; packages in the R statistical software (Version 4.1.2).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Circulating cytokines and ALM</title>
<p>Based on the aforementioned quality control measures, 413 SNPs were identified as IVs to investigate the causal relationships between circulating cytokines and ALM (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). The MR analysis showed that three cytokines, namely hepatocyte growth factor (HGF), interferon gamma-induced protein 10 (IP-10), and macrophage colony-stimulating factor (M-CSF), were causally associated with ALM in the IVW method. All of these cytokines had positive effects on ALM (&#x3b2;: 0.0221, 95%CI: 0.0071, 0.0372, <italic>P</italic>= 0.0039 for HGF; &#x3b2;: 0.0096, 95%CI: 4e-04, 0.0189, <italic>P</italic>= 0.0419 for IP-10; and &#x3b2;: 0.0100, 95%CI: 0.0035, 0.0165, <italic>P</italic>= 0.0025 for M-CSF) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The Cochran&#x2019;s Q test revealed no significant results, confirming the stability of the major findings. In addition, the MR-Egger intercept and MR-PRESSO tests detected non-significant results, indicating that the main estimates were less likely to be affected by horizontal pleiotropy (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>; <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figures&#xa0;1</bold>
</xref>-<xref ref-type="supplementary-material" rid="SF2">
<bold>2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>MR estimates from different methods of assessing the causal effect of circulating cytokines on ALM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Outcome</th>
<th valign="middle" align="center">Exposure</th>
<th valign="middle" align="center">No. of IVs</th>
<th valign="middle" align="center">Method</th>
<th valign="middle" align="center">Beta (95% CI)</th>
<th valign="middle" align="center">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="5">ALM</td>
<td valign="top" align="left" rowspan="5">HGF</td>
<td valign="top" align="left" rowspan="5">7</td>
<td valign="middle" align="left">IVW</td>
<td valign="middle" align="left">0.0221 (0.0071,0.0372)</td>
<td valign="middle" align="right">0.0039</td>
</tr>
<tr>
<td valign="middle" align="left">MR Egger</td>
<td valign="middle" align="left">0.0264 (-0.0105,0.0632)</td>
<td valign="middle" align="right">0.2200</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted median</td>
<td valign="middle" align="left">0.0214 (0.0021,0.0408)</td>
<td valign="middle" align="right">0.0298</td>
</tr>
<tr>
<td valign="middle" align="left">Simple mode</td>
<td valign="middle" align="left">0.0187 (-0.0076,0.045)</td>
<td valign="middle" align="right">0.2122</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted mode</td>
<td valign="middle" align="left">0.0199 (0,0.0399)</td>
<td valign="middle" align="right">0.0982</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">ALM</td>
<td valign="top" align="left" rowspan="5">IP-10</td>
<td valign="top" align="left" rowspan="5">11</td>
<td valign="middle" align="left">IVW</td>
<td valign="middle" align="left">0.0096 (4e-04,0.0189)</td>
<td valign="middle" align="right">0.0419</td>
</tr>
<tr>
<td valign="middle" align="left">MR Egger</td>
<td valign="middle" align="left">0.0048 (-0.0157,0.0253)</td>
<td valign="middle" align="right">0.6566</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted median</td>
<td valign="middle" align="left">0.0092 (-0.0045,0.0228)</td>
<td valign="middle" align="right">0.1886</td>
</tr>
<tr>
<td valign="middle" align="left">Simple mode</td>
<td valign="middle" align="left">0.0134 (-0.0101,0.037)</td>
<td valign="middle" align="right">0.2893</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted mode</td>
<td valign="middle" align="left">0.0091 (-0.0113,0.0295)</td>
<td valign="middle" align="right">0.4001</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">ALM</td>
<td valign="top" align="left" rowspan="5">M-CSF</td>
<td valign="top" align="left" rowspan="5">11</td>
<td valign="middle" align="left">IVW</td>
<td valign="middle" align="left">0.0100 (0.0035,0.0165)</td>
<td valign="middle" align="right">0.0025</td>
</tr>
<tr>
<td valign="middle" align="left">MR Egger</td>
<td valign="middle" align="left">0.007 (-0.0068,0.0207)</td>
<td valign="middle" align="right">0.3463</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted median</td>
<td valign="middle" align="left">0.0098 (0.0011,0.0184)</td>
<td valign="middle" align="right">0.0266</td>
</tr>
<tr>
<td valign="middle" align="left">Simple mode</td>
<td valign="middle" align="left">0.0164 (0.0016,0.0312)</td>
<td valign="middle" align="right">0.0547</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted mode</td>
<td valign="middle" align="left">0.0168 (0.0025,0.031)</td>
<td valign="middle" align="right">0.0435</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Estimated causal relationships of circulating cytokines with ALM with different MR methods.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1370985-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>The results of heterogeneity and pleiotropy test for MR analysis of the causal relationships between circulating cytokines and sarcopenia-related traits.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Outcome</th>
<th valign="middle" rowspan="2" align="center">Exposure</th>
<th valign="middle" rowspan="2" align="center">No. of IVs</th>
<th valign="middle" colspan="2" align="center">Cochran's Q</th>
<th valign="middle" colspan="2" align="center">MR-Egger</th>
<th valign="middle" colspan="2" align="center">MR-PRESSO</th>
</tr>
<tr>
<th valign="middle" align="center">Q</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">Intercept</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">RSSobs</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="3">ALM</td>
<td valign="middle" align="left">HGF</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">6.5239</td>
<td valign="middle" align="left">0.26</td>
<td valign="middle" align="left">-7.06E-04</td>
<td valign="middle" align="left">0.81</td>
<td valign="middle" align="left">7.5419</td>
<td valign="middle" align="left">0.5095</td>
</tr>
<tr>
<td valign="middle" align="left">IP-10</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">10.4536</td>
<td valign="middle" align="left">0.32</td>
<td valign="middle" align="left">1.04E-03</td>
<td valign="middle" align="left">0.61</td>
<td valign="middle" align="left">12.9874</td>
<td valign="middle" align="left">0.4044</td>
</tr>
<tr>
<td valign="middle" align="left">M-CSF</td>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">8.1407</td>
<td valign="middle" align="left">0.52</td>
<td valign="middle" align="left">1.13E-03</td>
<td valign="middle" align="left">0.63</td>
<td valign="middle" align="left">10.1443</td>
<td valign="middle" align="left">0.6291</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Hand grip strength</td>
<td valign="middle" align="left">IL-7</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">7.3636</td>
<td valign="middle" align="left">0.50</td>
<td valign="middle" align="left">7.20E-04</td>
<td valign="middle" align="left">0.67</td>
<td valign="middle" align="left">9.6650</td>
<td valign="middle" align="left">0.6007</td>
</tr>
<tr>
<td valign="middle" align="left">MCP-3</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">3.2493</td>
<td valign="middle" align="left">0.52</td>
<td valign="middle" align="left">4.53E-04</td>
<td valign="middle" align="left">0.84</td>
<td valign="middle" align="left">4.6747</td>
<td valign="middle" align="left">0.6947</td>
</tr>
<tr>
<td valign="middle" align="left">RANTES</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">10.1903</td>
<td valign="middle" align="left">0.18</td>
<td valign="middle" align="left">-1.13E-03</td>
<td valign="middle" align="left">0.68</td>
<td valign="middle" align="left">13.4386</td>
<td valign="middle" align="left">0.2481</td>
</tr>
<tr>
<td valign="middle" align="left">Usual walking pace</td>
<td valign="middle" align="left">IL-1RA</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">4.4102</td>
<td valign="middle" align="left">0.49</td>
<td valign="middle" align="left">-3.80E-03</td>
<td valign="middle" align="left">0.10</td>
<td valign="middle" align="left">12.3688</td>
<td valign="middle" align="left">0.2247</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Circulating cytokines and hand grip strength</title>
<p>In total, 404 SNPs were identified as IVs to explore the causal relationships between circulating cytokines and hand grip strength (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). MR analysis using the IVW method revealed that three cytokines, namely interleukin-7 (IL-7), monocyte chemotactic protein 3 (MCP-3), and regulated on activation, normal T cell expressed and secreted (RANTES), were causally associated with hand grip strength. These cytokines had negative effects on hand grip strength (&#x3b2;: -0.0071, 95%CI: -0.0127, -0.0014, <italic>P</italic>= 0.0140 for IL-7; &#x3b2;: -0.0064, 95%CI: -0.0123, -6e-04, <italic>P</italic>= 0.0313 for MCP-3; and &#x3b2;: -0.0082, 95%CI: -0.0164, -1e-04, <italic>P</italic>= 0.0480 for RANTES) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The Cochran&#x2019;s Q test revealed no significant heterogeneity. The results of the MR-Egger intercept and MR-PRESSO tests demonstrated that the horizontal pleiotropy did not bias the causal effect of cytokines on hand grip strength (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>; <xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figures&#xa0;3</bold>
</xref>, <xref ref-type="supplementary-material" rid="SF4">
<bold>4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>MR estimates from different methods of assessing the causal effect of circulating cytokines on hand grip strength.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Outcome</th>
<th valign="middle" align="center">Exposure</th>
<th valign="middle" align="center">No. of IVs</th>
<th valign="middle" align="center">Method</th>
<th valign="middle" align="center">Beta (95% CI)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="5">Hand grip strength</td>
<td valign="top" align="left" rowspan="5">IL-7</td>
<td valign="top" align="center" rowspan="5">10</td>
<td valign="middle" align="left">IVW</td>
<td valign="middle" align="center">-0.0071 (-0.0127, -0.0014)</td>
<td valign="middle" align="center">0.0140</td>
</tr>
<tr>
<td valign="middle" align="left">MR Egger</td>
<td valign="middle" align="center">-0.0095 (-0.0215, 0.0025)</td>
<td valign="middle" align="center">0.1599</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted median</td>
<td valign="middle" align="center">-0.0041 (-0.012, 0.0038)</td>
<td valign="middle" align="center">0.3109</td>
</tr>
<tr>
<td valign="middle" align="left">Simple mode</td>
<td valign="middle" align="center">-0.0143 (-0.0279, -6e-04)</td>
<td valign="middle" align="center">0.0704</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted mode</td>
<td valign="middle" align="center">-0.0033 (-0.0116, 0.0049)</td>
<td valign="middle" align="center">0.4518</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Hand grip strength</td>
<td valign="top" align="left" rowspan="5">MCP-3</td>
<td valign="top" align="center" rowspan="5">6</td>
<td valign="middle" align="left">IVW</td>
<td valign="middle" align="center">-0.0064 (-0.0123, -6e-04)</td>
<td valign="middle" align="center">0.0313</td>
</tr>
<tr>
<td valign="middle" align="left">MR Egger</td>
<td valign="middle" align="center">-0.0079 (-0.0227, 0.007)</td>
<td valign="middle" align="center">0.3563</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted median</td>
<td valign="middle" align="center">-0.0081 (-0.016, -2e-04)</td>
<td valign="middle" align="center">0.0445</td>
</tr>
<tr>
<td valign="middle" align="left">Simple mode</td>
<td valign="middle" align="center">-0.0076 (-0.0188, 0.0036)</td>
<td valign="middle" align="center">0.2391</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted mode</td>
<td valign="middle" align="center">-0.0078 (-0.0186, 0.003)</td>
<td valign="middle" align="center">0.2154</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Hand grip strength</td>
<td valign="top" align="left" rowspan="5">RANTES</td>
<td valign="top" align="center" rowspan="5">9</td>
<td valign="middle" align="left">IVW</td>
<td valign="middle" align="center">-0.0082 (-0.0164, -1e-04)</td>
<td valign="middle" align="center">0.0480</td>
</tr>
<tr>
<td valign="middle" align="left">MR Egger</td>
<td valign="middle" align="center">-0.0032 (-0.0284, 0.022)</td>
<td valign="middle" align="center">0.8105</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted median</td>
<td valign="middle" align="center">-0.0081 (-0.0189, 0.0026)</td>
<td valign="middle" align="center">0.1388</td>
</tr>
<tr>
<td valign="middle" align="left">Simple mode</td>
<td valign="middle" align="center">-0.0094 (-0.0259, 0.007)</td>
<td valign="middle" align="center">0.2932</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted mode</td>
<td valign="middle" align="center">-0.0097 (-0.026, 0.0066)</td>
<td valign="middle" align="center">0.2760</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Estimated causal relationships of circulating cytokines with hand grip strength with different MR methods.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1370985-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Circulating cytokines and usual walking pace</title>
<p>We identified 408 eligible SNPs to investigate the causal associations between circulating cytokines and the usual walking pace (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref>). Interleukin 1 receptor antagonist (IL-1RA) revealed significant negative causal effects on usual walking pace (&#x3b2;: -0.0104, 95%CI: -0.0195, -0.0013, <italic>P</italic>= 0.0254, IVW method) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Cochran&#x2019;s Q test did not show any significant heterogeneity. No evidence of horizontal pleiotropy was observed based on the MR-Egger intercept and MR-PRESSO test (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>; <xref ref-type="supplementary-material" rid="SF5">
<bold>Supplementary Figures&#xa0;5</bold>
</xref>, <xref ref-type="supplementary-material" rid="SF6">
<bold>6</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>MR estimates from different methods of assessing the causal effect of circulating cytokines on usual walking pace.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Outcome</th>
<th valign="middle" align="center">Exposure</th>
<th valign="middle" align="center">No. of IVs</th>
<th valign="middle" align="center">Method</th>
<th valign="middle" align="center">Beta (95% CI)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="5">Usual walking pace</td>
<td valign="top" align="left" rowspan="5">IL-1RA</td>
<td valign="top" align="center" rowspan="5">7</td>
<td valign="middle" align="left">IVW</td>
<td valign="middle" align="left">-0.0104 (-0.0195, -0.0013)</td>
<td valign="middle" align="center">0.0254</td>
</tr>
<tr>
<td valign="middle" align="left">MR Egger</td>
<td valign="middle" align="left">0.0134 (-0.0117, 0.0384)</td>
<td valign="middle" align="center">0.3432</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted median</td>
<td valign="middle" align="left">-0.0148 (-0.027, -0.0025)</td>
<td valign="middle" align="center">0.0179</td>
</tr>
<tr>
<td valign="middle" align="left">Simple mode</td>
<td valign="middle" align="left">-0.0169 (-0.0335, -3e-04)</td>
<td valign="middle" align="center">0.0934</td>
</tr>
<tr>
<td valign="middle" align="left">Weighted mode</td>
<td valign="middle" align="left">-0.0172 (-0.0328, -0.0017)</td>
<td valign="middle" align="center">0.0731</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Estimated causal relationships of circulating cytokines with usual walking pace with different MR methods.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1370985-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Recently, the influence of inflammatory processes on the initiation and progression of sarcopenia has become a focal point of interest within the scientific community. However, prior research has been hindered by limitations such as restricted sample sizes or focusing solely on the relationship between a limited set of inflammatory biomarkers and sarcopenia. Moreover, the observational study designs previously utilized may be prone to confounding factors and the complexities of reverse causality, which have collectively led to inconsistencies in the findings. Our Mendelian randomization study provides novel insights, indicating that sarcopenia is not triggered by a single cytokine but rather is the result of an imbalance within the intricate cytokine regulatory network. The perturbation of the delicate equilibrium between pro-inflammatory and anti-inflammatory cytokines, when disrupted, may significantly impact the pathogenesis and clinical course of sarcopenia.</p>
<p>Emerging evidence suggests that the proliferation and differentiation of muscle satellite cells are influenced by growth factors and hormones, including hepatocyte growth factor (HGF), insulin-like growth factors-1 (IGF-1), and testosterone (<xref ref-type="bibr" rid="B20">20</xref>). An <italic>in vivo</italic> study showed that increasing HGF levels improved age-related muscle regeneration and dysfunction (<xref ref-type="bibr" rid="B21">21</xref>). HGF has been suggested to promote skeletal muscle regeneration by regulating the mobilization and modification of bone marrow stem cells (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). In addition to these experimental studies, a few clinical observational studies have proposed a relationship between sarcopenia and HGF (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Our MR analysis have revealed a protective role of HGF against muscle loss. IP-10, also known as C-X-C motif ligand 10 (CXCL-10), is a potent monocyte or dendritic cell-derived chemokine involved in T-cell migration and activation (<xref ref-type="bibr" rid="B26">26</xref>). Recently, the role of IP-10 in muscle disorders has gained the attention of researchers. Deyhle et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>) observed that CXCL-10 promoted the myogenic differentiation of human primary myoblasts <italic>in vitro</italic>, suggesting its involvement in muscle regeneration. However, clinical studies have reported conflicting results. A cohort study analyzing the relationship between skeletal muscle index (SMI) and 39 circulating cytokines in 125 patients with colon cancer, reported that an increased IP-10 level correlated significantly with a lower SMI (<xref ref-type="bibr" rid="B28">28</xref>). Contrarily, another study revealed a significantly lower IP-10 in older men than that in their younger counterparts (<xref ref-type="bibr" rid="B29">29</xref>). Similarly, Perrini et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>) reported that IP-10 levels decreased with age and were associated with muscle decline. Although we observed a positive association between IP-10 and ALM, further research is required to clarify the underlying mechanisms. M-CSF is a well-known monocyte mobilizer that regulates the function of various inflammatory cells and induces the survival, proliferation, and maturation of macrophages (<xref ref-type="bibr" rid="B31">31</xref>). M-CSF has been used successfully for muscle recovery in several mouse injury models (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Some researchers have found that aged muscle treated with M-CSF had higher macrophage content and greater muscle force (<xref ref-type="bibr" rid="B34">34</xref>). Consistent with these experimental findings, our results suggest a protective effect of M-CSF against ALM. Our findings implicate HGF, IP-10, and M-CSF as promising candidates for biomarkers and therapeutic targets in the context of muscle wasting. Further research is essential to elucidate the precise mechanisms of action and the intricate regulatory networks within which these cytokines operate. This understanding is critical for the advancement of targeted interventions to ameliorate sarcopenia more effectively.</p>
<p>It has been proposed that higher levels of circulating cytokines may play a role in muscle
strength decline (<xref ref-type="bibr" rid="B11">11</xref>). IL-7 is a cytokine chiefly produced by the skeletal muscle (<xref ref-type="bibr" rid="B29">29</xref>). <italic>In vitro</italic> and <italic>in vivo</italic> experiments have shown that IL-7 affects the myogenesis and migration of skeletal muscle cells, suggesting the physiological importance of muscular IL-7 (<xref ref-type="bibr" rid="B35">35</xref>). In a cohort study, Weerd et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>) found that morbidly obese participants had higher serum IL-7 levels than the lean healthy participants. In another study investigating the effects of exercise on circulating IL-7 levels, Andersson et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>) observed significantly elevated circulating IL-7 levels immediately after soccer games. Our findings suggest a negative causal relationship between IL-7 levels and hand grip strength. IL-7 is likely to have dual effects on muscle strength depending on the duration of exposure. When increased acutely, it may positively affect muscle metabolism by upregulating lipolysis and fat oxidation; however, it may reduce muscle strength when increased chronically, as is the case in inflammation (<xref ref-type="bibr" rid="B38">38</xref>). Monocyte chemotactic proteins (MCPs) are chemotactic cytokines that regulate a distinct spectrum of target cells and exhibit different biological activities depending on the cell type (<xref ref-type="bibr" rid="B39">39</xref>). <italic>In vivo</italic> experimental data have disclosed a pronounced elevation in the expression of MCP-1 within the skeletal muscle tissue of SAMP8 mice, correlating with their advancement in age from 12 to 40 weeks (<xref ref-type="bibr" rid="B40">40</xref>). In a clinical study, an age-related increase in the levels of MCP-1 has been observed among healthy individuals (<xref ref-type="bibr" rid="B41">41</xref>). Currently, five members of the MCP family have been identified: MCP-1, MCP-2, MCP-3, MCP-4, and MCP-5 (<xref ref-type="bibr" rid="B39">39</xref>). Several studies have reported that MCP-1 impairs muscle anabolism and accelerates catabolism, leading to impaired muscle strength (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). Our MR analysis revealed a negative causal relationship between MCP-3 and muscle strength, suggesting the chemotactic effects of MCP-3 are likely broader than those of MCP-1 (<xref ref-type="bibr" rid="B39">39</xref>). RANTES contributes to the aggregation of inflammatory cells and to persistent inflammatory response (<xref ref-type="bibr" rid="B44">44</xref>). RANTES has been implicated as a key modifier of the immune response in muscle-wasting diseases, such as Duchenne muscular dystrophy (<xref ref-type="bibr" rid="B45">45</xref>). <italic>In vivo</italic> experiments have also revealed the accumulation of RANTES in the skeletal muscles of sarcopenic rats (<xref ref-type="bibr" rid="B44">44</xref>). In a cross-sectional study, Fielding et&#xa0;al. (<xref ref-type="bibr" rid="B46">46</xref>) observed a negative association between RANTES and physical function in females. Our MR analysis further confirmed the negative causal relationship between RANTES levels and muscle strength.</p>
<p>IL-1RA is a member of the IL-1 cytokine family and is secreted by various of cells. IL-1RA is assumed to exert anti-inflammatory effects by antagonizing the IL-1 pathway via binding to the IL-1 receptor (<xref ref-type="bibr" rid="B47">47</xref>). However, the role of IL-1RA in the inflammation of skeletal muscles remains controversial. The finding from an animal study indicated a modest rise in serum IL-1RA levels among rats engaged in moderate and intense physical activity, as opposed to their sedentary counterparts (<xref ref-type="bibr" rid="B48">48</xref>). Another study elucidated that IL-1RA levels were lower in white adipose tissue, higher in skeletal muscle, and similar in the serum of trained rats compared to those in sedentary rats (<xref ref-type="bibr" rid="B49">49</xref>). The outcomes of a placebo-controlled, double-blinded, parallel-group clinical trial highlighted that IL-1RA therapy exerted no significant influence on gene expression within the skeletal muscle of obese individuals suffering from type 2 diabetes (<xref ref-type="bibr" rid="B50">50</xref>). In a cross-sectional study, Cesari et&#xa0;al. (<xref ref-type="bibr" rid="B51">51</xref>) reported a statistically significant correlation linking elevated IL-1RA levels to diminished physical performance and reduced muscular strength in older adults residing in the community. Similarly, our MR analysis indicated a negative causal relationship between IL-1RA and usual walking pace. Owing to the inconsistency in these findings, additional studies are required to determine the exact mechanisms of IL-1RA in the progression of sarcopenia.</p>
</sec>
<sec id="s5">
<title>Limitations</title>
<p>This study had some limitations. First, the GWAS included only individuals of European ancestry, limiting the applicability of our findings to different ethnic backgrounds. Second, owing to the lack of individual-level data, a stratified analysis could not be performed to determine whether the causal effects of circulating cytokines on sarcopenia-related traits varied by age and sex. Third, residual bias is inevitable, as it is a recognized drawback of the MR technique, even with pleiotropic tests and MR-PRESSO procedures to prevent pleiotropic mixing. Therefore, further research is required to verify the association between these variables.</p>
</sec>
<sec id="s6" sec-type="conclusion">
<title>Conclusion</title>
<p>In this study, we employed MR analysis to provide a more holistic perspective on the causal relationship between inflammatory cytokines and sarcopenia, suggesting that elevated levels of IL-7, MCP-3, RANTES, and IL-1RA increase, whereas HGF, IP-10, and M-CSF decrease the risk of sarcopenia. This study may shed new light on the etiology, diagnosis, prevention, and treatment of sarcopenia. However, further studies are needed to fully understand the precise biological mechanisms and determine the potential of these cytokines as targets for the prevention or treatment of sarcopenia.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s10" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZC: Writing &#x2013; original draft, Supervision. JS: Methodology, Writing &#x2013; original draft. TS: Investigation, Writing &#x2013; original draft. CS: Software, Writing &#x2013; original draft. CW: Conceptualization, Writing &#x2013; original draft. ZW: Validation, Writing &#x2013; original draft. JL: Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s11" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s12" 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="s13" 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="s14" 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.2024.1370985/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2024.1370985/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image1.jpeg" id="SF1" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Causal relationships between circulating cytokines and ALM in funnel plots. <bold>(A)</bold>. HGF, <bold>(B)</bold>. IP-10, <bold>(C)</bold>. M-CSF.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image2.jpeg" id="SF2" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Causal relationships between circulating cytokines and ALM in scatter plots. <bold>(A)</bold>. HGF, <bold>(B)</bold>. IP-10, <bold>(C)</bold>. M-CSF.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image3.jpeg" id="SF3" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Causal relationships between circulating cytokines and hand grip strength in funnel plots. <bold>(A)</bold>. IL-7, <bold>(B)</bold>. MCP-3, <bold>(C)</bold>. RANTES.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image4.jpeg" id="SF4" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;4</label>
<caption>
<p>Causal relationships between circulating cytokines and hand grip strength in scatter plots. <bold>(A)</bold>. IL-7, <bold>(B)</bold>. MCP-3, <bold>(C)</bold>. RANTES.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image5.jpeg" id="SF5" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;5</label>
<caption>
<p>Causal relationships between circulating cytokines and usual walking pace in funnel plots. a.IL-1RA.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image6.jpeg" id="SF6" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;6</label>
<caption>
<p>Causal relationships between circulating cytokines and usual walking pace in scatter plots. a.IL-1RA.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table3.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>ALM, appendicular lean mass; CI, confidence interval; CXCL-10, C-X-C motif ligand 10; GWAS, genome-wide association study; HGF, hepatocyte growth factor; IL-7, interleukin-7; IL-1RA, interleukin 1 receptor antagonist; IP-10, interferon gamma-induced protein 10; IVW, inverse variance-weighted; MCP-3, monocyte chemotactic protein 3; CSF, macrophage colony-stimulating factor; M-MR-PRESSO, Mendelian Randomization Pleiotropy Residual Sum and Outlier; RANTES, regulated on activation, normal T cell expressed and secreted; SMI, skeletal muscle index.</p>
</fn>
</fn-group>
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