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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2025.1748130</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Correction</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Correction: Remnant cholesterol shows inverse and nonlinear associations with leukocyte telomere length and serum &#x3b1;-Klotho, mediated by inflammation and oxidative stress</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xing</surname><given-names>Baodi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Yu</surname><given-names>Jie</given-names></name>
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<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Yiwen</given-names></name>
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<name><surname>Gao</surname><given-names>Qi</given-names></name>
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<contrib contrib-type="author">
<name><surname>Chen</surname><given-names>Xinyue</given-names></name>
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<contrib contrib-type="author">
<name><surname>He</surname><given-names>Shuli</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Ping</surname><given-names>Fan</given-names></name>
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<name><surname>Xu</surname><given-names>Lingling</given-names></name>
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<name><surname>Li</surname><given-names>Wei</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname><given-names>Huabing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Yuxiu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Translation Medicine Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Huabing Zhang, <email xlink:href="mailto:huabingzhangchn@163.com">huabingzhangchn@163.com</email>; Yuxiu Li, <email xlink:href="mailto:liyuxiu@medmail.com.cn">liyuxiu@medmail.com.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-19">
<day>19</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1748130</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Xing, Yu, Liu, Gao, Chen, He, Ping, Xu, Li, Zhang and Li.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Xing, Yu, Liu, Gao, Chen, He, Ping, Xu, Li, Zhang and Li</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-19">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<related-article id="RA1" related-article-type="corrected-article" ext-link-type="doi" xlink:href="10.3389/fendo.2025.1700349" journal-id="Front Endocrinol" journal-id-type="nlm-ta">A Correction on 
<article-title>Remnant cholesterol shows inverse and nonlinear associations with leukocyte telomere length and serum &#x3b1;-Klotho, mediated by inflammation and oxidative stress</article-title> By Xing B, Yu J, Liu Y, Gao Q, Chen X, He S, Ping F, Xu L, Li W, Zhang H and Li Y (2025) <italic>Front. Endocrinol.</italic>&#xa0;16:1700349. doi:&#xa0;<object-id>10.3389/fendo.2025.1700349</object-id>
</related-article>
<kwd-group>
<kwd>remnant cholesterol</kwd>
<kwd>biological aging</kwd>
<kwd>leukocyte telomere length</kwd>
<kwd>serum &#x3b1;-Klotho</kwd>
<kwd>inflammation</kwd>
<kwd>oxidative stress</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="0"/>
<page-count count="2"/>
<word-count count="536"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Endocrinology of Aging</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<p>There was a mistake in <xref ref-type="table" rid="T2"><bold><bold>Table 2</bold></bold></xref> as published. The regression coefficients for serum &#x3b1;-Klotho of models 3 and 4 in <xref ref-type="table" rid="T2"><bold><bold>Table 2</bold></bold></xref> were wrong. The corrected <xref ref-type="table" rid="T2"><bold><bold>Table 2</bold></bold></xref> appears below.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>The multiple linear regression between RC and LTL and serum &#x3b1;-klotho.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">LTL</th>
<th valign="middle" align="center">1mmol/L increment</th>
<th valign="middle" align="center">Q1</th>
<th valign="middle" align="center">Q2</th>
<th valign="middle" align="center">Q3</th>
<th valign="middle" align="center">Q4</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">model 1</td>
<td valign="middle" align="center">-0.171(-0.236,-0.105)*</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.061(-0.159,0.037)</td>
<td valign="middle" align="center">-0.243(-0.342,-0.144)*</td>
<td valign="middle" align="center">-0.263(-0.361,-0.164)*</td>
</tr>
<tr>
<td valign="middle" align="left">model 2</td>
<td valign="middle" align="center">-0.184(-0.269,-0.098)*</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.038(-0.138,0.061)</td>
<td valign="middle" align="center">-0.260(-0.362,-0.158)*</td>
<td valign="middle" align="center">-0.235(-0.350,-0.120)*</td>
</tr>
<tr>
<td valign="middle" align="left">model 3</td>
<td valign="middle" align="center">-0.177(-0.262,-0.091)*</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.038(-0.137,0.062)</td>
<td valign="middle" align="center">-0.255(-0.358,-0.153)*</td>
<td valign="middle" align="center">-0.230(-0.345,-0.114)*</td>
</tr>
<tr>
<td valign="middle" align="left">model 4</td>
<td valign="middle" align="center">-0.162(-0.250,-0.075)*</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.033(-0.133,0.066)</td>
<td valign="middle" align="center">-0.241(-0.345,-0.137)*</td>
<td valign="middle" align="center">-0.217(-0.334,-0.010)*</td>
</tr>
<tr>
<th valign="middle" align="left">&#x3b1;-Klotho</th>
<th valign="middle" align="center">1mmol/L increment</th>
<th valign="middle" align="center">Q1</th>
<th valign="middle" align="center">Q2</th>
<th valign="middle" align="center">Q3</th>
<th valign="middle" align="center">Q4</th>
</tr>
<tr>
<td valign="middle" align="left">model 1</td>
<td valign="middle" align="center">-0.030(-0.046,-0.014)*</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.032(-0.056,-0.007)*</td>
<td valign="middle" align="center">-0.065(-0.090,-0.041)*</td>
<td valign="middle" align="center">-0.054(-0.078,-0.029)*</td>
</tr>
<tr>
<td valign="middle" align="left">model 2</td>
<td valign="middle" align="center">-0.045(-0.066,-0.024)*</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.030(-0.054,-0.005)*</td>
<td valign="middle" align="center">-0.062(-0.087,-0.037)*</td>
<td valign="middle" align="center">-0.058(-0.086,-0.030)*</td>
</tr>
<tr>
<td valign="middle" align="left">model 3</td>
<td valign="middle" align="center">-0.045(-0.066,-0.024)*</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.030(-0.054,-0.005)*</td>
<td valign="middle" align="center">-0.062(-0.087,-0.037)*</td>
<td valign="middle" align="center">-0.058(-0.086,-0.030)*</td>
</tr>
<tr>
<td valign="middle" align="left">model 4</td>
<td valign="middle" align="center">-0.017(-0.045,0.011)</td>
<td valign="middle" align="center">1(ref)</td>
<td valign="middle" align="center">-0.023(-0.048,0.002)</td>
<td valign="middle" align="center">-0.043(-0.073,-0.013)*</td>
<td valign="middle" align="center">-0.034(-0.069,-0.001)*</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Model 1 was adjusted for age and sex; model2 was adjusted for BMI, WHR, ALT, AST, eGFR, SBP, DBP, HbA1c, FBG, TG, HDL-C, LDL-C, and sUA; model3 was further adjusted for total energy intake based on model2; and model4 was further adjusted for TNF-&#x3b1;, IL-6, IL-1&#x3b2;, SOD, and 8-OHdG. The z-LTL and log-transformed &#x3b1;-klotho were analyzed in all models. *<italic>P</italic>&#xa0;&lt;&#xa0;0.05 means statistical difference.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>There was a mistake in <xref ref-type="fig" rid="f2"><bold><bold>Figure 2c</bold></bold></xref> as published. There was a missing * for the total effect. The corrected <xref ref-type="fig" rid="f2"><bold><bold>Figure 2</bold></bold></xref> appears below. The original version of this article has been updated.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The mediation effect of inflammation and oxidative stress in the relationship between RC and LTL. <bold>(a&#x2013;e)</bold>&#xa0;the mediation model of TNF&#x3b1;, IL-6, IL-1&#x3b2;, SOD, 8-OHdG on the correlation between RC and LTL. The model was adjusted for age, sex, BMI, WHR, ALT, AST, eGFR, SBP, DBP, HbA1c, FPG, LDL-C, HDL-C, TG, sUA, and total energy intake. The z-LTL and log-transformed TNF&#x3b1;, IL-6, IL-1&#x3b2;, SOD, and 8-OHdG were analyzed in the model. *P&gt;0.05 means statistical difference..</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1748130-g002.tif">
<alt-text content-type="machine-generated">Diagrams depicting the relationship between RC, various mediators, and LTL. (a) TNF&#x3b1;, (b) IL-6, (c) IL-1&#x3b2;, (d) SOD, and (e) 8-oHdG. Each has paths showing indirect, direct, and total effects with corresponding values and confidence intervals. Each mediator affects the relationship between RC and LTL differently, with asterisks indicating significance.</alt-text>
</graphic></fig>
</body>
<back>
<sec id="s1" 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>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited and reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/258368"> James Harper</ext-link>, Sam Houston State University, United States</p></fn>
</fn-group>
</back>
</article>