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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.2024.1369800</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>A two-sample bidirectional Mendelian randomization analysis between telomere length and hyperthyroidism</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhu</surname>
<given-names>Shiben</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/2088191"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Hao</surname>
<given-names>Ziyu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Qihang</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/2785841"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xiaoliu</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2786032"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Wenyan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Fang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Nursing and Health Studies, Hong Kong Metropolitan University</institution>, <addr-line>Hong Kong</addr-line>, <country>Hong Kong SAR, China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong</institution>, <addr-line>Hong Kong</addr-line>, <country>Hong Kong SAR, China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Medical Laboratory of Shenzhen Luohu People&#x2019;s Hospital</institution>, <addr-line>Shenzhen, Guangdong</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Science and Education, Shenzhen Baoan Women&#x2019;s and Children&#x2019;s Hospital</institution>, <addr-line>Shenzhen, Guangdong</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: Abdulsamed K&#xfc;k&#xfc;rt, Kafkas University, T&#xfc;rkiye</p>
<p>Di He, Memorial Sloan Kettering Cancer Center, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Fang Zhang, <email xlink:href="mailto:zhangfangf11@163.com">zhangfangf11@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>01</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1369800</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhu, Hao, Chen, Liu, Wu and Zhang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhu, Hao, Chen, Liu, Wu and Zhang</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>hyperthyroidism characterized by low thyrotropin, highlighting complications and risks, including cardiac issues, osteoporosis, adverse pregnancy outcomes, unintentional weight loss, and increased mortality associated with untreated hyperthyroidism. However, the casual association between telomere length (TL) and hyperthyroidism remains unclear.</p>
</sec>
<sec>
<title>Objective</title>
<p>We aim to explore the casual relationship between TL and hyperthyroidism.</p>
</sec>
<sec>
<title>Methods</title>
<p>A two-sample bidirectional Mendelian randomization (MR) analysis employed the inverse variance weighted (IVW) method, supplemented by additional approaches such as Weighted Median (WM), and MR Egger.</p>
</sec>
<sec>
<title>Results</title>
<p>The summary statistics for TL were derived from the UK Biobank, comprising 472,174 individuals, while the data for hyperthyroidism were sourced from the GWAS Catalog and the FinnGen database, encompassing cohorts of 460,499 and 173,938 individuals, respectively. Utilizing 139 genome-wide significant single nucleotide polymorphisms (SNPs) as instrumental variables (IVs) for TL, forward MR analyses indicated a negative causal effect of TL on hyperthyroidism. The risk of hyperthyroidism decreased as genetically predicted TL increased by one standard deviation, as determined by the IVW form GWAS Catalog (OR:0.659,95%CI: 0.541-0.802, <italic>p &lt;</italic>0.001) and IVW from FinnGen(OR:0.634, 95%CI: 0.479-0.840, <italic>p</italic> = 0.001). Other MR methods exhibited a consistent trend in the impact of TL on hyperthyroidism. Reverse MR analysis suggested no causal association between TL and hyperthyroidism (<italic>p</italic> &gt; 0.05). Sensitivity analyses confirmed the robustness of these results, suggesting minimal susceptibility to confounding factors and bias.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The finding that longer telomeres reduce hyperthyroidism risk highlights the need to validate hyperthyroidism&#x2019;s impact on telomere length, offering valuable insights for prevention and treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Mendelian randomization analysis</kwd>
<kwd>telomere length</kwd>
<kwd>hyperthyroidism</kwd>
<kwd>casual effect</kwd>
<kwd>GWAS</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="8"/>
<word-count count="3480"/>
</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">
<label>1</label>
<title>Introduction</title>
<p>Hyperthyroidism, a prevalent endocrine disorder, affects 0.2-1.3% of the general population (<xref ref-type="bibr" rid="B1">1</xref>), with women more affected than men, and increases with age (<xref ref-type="bibr" rid="B2">2</xref>). Given the critical role of thyroid hormones in essential physiological processes like growth (<xref ref-type="bibr" rid="B3">3</xref>), maturation (<xref ref-type="bibr" rid="B4">4</xref>), and metabolism (<xref ref-type="bibr" rid="B5">5</xref>), many efforts have the positive association between thyroid function and cancer development (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Without treatment, hyperthyroidism can lead to serious complications including cardiac arrhythmias (<xref ref-type="bibr" rid="B8">8</xref>), congestive heart failure (<xref ref-type="bibr" rid="B9">9</xref>), osteoporosis (<xref ref-type="bibr" rid="B10">10</xref>), adverse obstetric outcomes (<xref ref-type="bibr" rid="B11">11</xref>), and metabolic imbalances (<xref ref-type="bibr" rid="B12">12</xref>), such as increased resting energy demand and gluconeogenesis (<xref ref-type="bibr" rid="B13">13</xref>). The intricate consequences of hyperthyroidism highlight the importance of understanding its prevalence and the diverse underlying mechanisms, emphasizing the need for effective control and prevention of associated disorders (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Hyperthyroidism, characterized by elevated thyroid hormone levels, plays a significant role in the aging process. Age-related changes in thyroid function have important implications for longevity (<xref ref-type="bibr" rid="B3">3</xref>). Studies suggest that longevity in vertebrates is positive associated with low metabolic rates and TH levels (<xref ref-type="bibr" rid="B15">15</xref>), and thyrotoxicosis in mice has been linked to aging traits like malnutrition and immune senescence (<xref ref-type="bibr" rid="B16">16</xref>). Telomeres are indispensable DNA-protein complexes at the ends of chromosomes, crucial for maintaining genomic stability by protecting repeated &#x201c;TTAGGG&#x201d; sequences (<xref ref-type="bibr" rid="B15">15</xref>). However, with each cell division, telomeres shorten, leading to replicative senescence, genetic instability, and ultimately cell death when critically short (<xref ref-type="bibr" rid="B16">16</xref>). Telomere length (TL) has been extensively studied as a biomarker for human aging across various tissues (<xref ref-type="bibr" rid="B17">17</xref>), with research linking TL to increased susceptibility to conditions such as cardiovascular disease (<xref ref-type="bibr" rid="B18">18</xref>), type 2 diabetes (<xref ref-type="bibr" rid="B19">19</xref>), cancers (<xref ref-type="bibr" rid="B20">20</xref>), Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="B21">21</xref>), chronic kidney disease (<xref ref-type="bibr" rid="B22">22</xref>), chronic obstructive pulmonary disease (<xref ref-type="bibr" rid="B23">23</xref>), and alcohol consumption (<xref ref-type="bibr" rid="B24">24</xref>). However, the casual relationship between TL and hyperthyroidism remains underexplored.</p>
<p>Mendelian randomization (MR) as a statistical tool is used in epidemiology to examine causal associations between exposures, biomarkers, or risk factors and outcomes. MR is particularly useful in situations where conducting randomized controlled trials is not feasible or poses ethical dilemmas (<xref ref-type="bibr" rid="B17">17</xref>). MR is an excellent approach for mitigating the issues of residual confounding and reverse causality, which are sometimes encountered when studying observational data using alternative approaches (<xref ref-type="bibr" rid="B18">18</xref>). Recent research has explored the connections between depression (<xref ref-type="bibr" rid="B19">19</xref>), mortality (<xref ref-type="bibr" rid="B20">20</xref>), Graves&#x2019; diseases (<xref ref-type="bibr" rid="B21">21</xref>), multiple sclerosis (<xref ref-type="bibr" rid="B22">22</xref>), and TL. However, no MR analysis investigated the causal relationship between TL and hyperthyroidism.</p>
<p>Our study investigates the causal relationship between TL and hyperthyroidism using a two-sample bidirectional Mendelian randomization analysis. Using genome-wide association study (GWAS) data, we present casual evidence that genetically predicted longer TL decreases the risk of developing hyperthyroidism. Then, we validate these findings with an independent dataset from the Finne cohort. These findings underscore the potential of telomere length as a biomarker for hyperthyroidism, offering insights that could inform novel preventive and therapeutic strategies, including personalized treatments.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design</title>
<p>We perform a conventional bidirectional MR study, using single nucleotide polymorphisms (SNPs) that are strongly linked to the target variable as instrumental variables (IVs). The GWAS datasets were used to assess the probable causal impact of the exposure on the outcomes. Genetic variants are the primary and effective IVs in a MR study. To be considered qualified IVs, they must adhere to three fundamental principles specified in MR theory. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref> depicts the whole flowchart of this MR study, whereas <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref> represents the basic MR assumptions and acronyms. Furthermore, the data for exposure and outcomes were obtained from separate and independent samples.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The research design in the bidirectional MR analysis. <bold>(A)</bold> Schematic illustrating the experimental plan. Red represents the use of forward MR analysis, where TL is used as the predictor and hyperthyroidism is the outcome. The color azure represents the use of reverse MR analysis, where hyperthyroidism is used as the predictor and TL as the result. <bold>(B)</bold> The three essential assumptions of MR analysis. SNPs refer to single nucleotide polymorphisms, IVs are instrumental variables, TL stands for telomere length, MR represents Mendelian randomization, X denotes the exposure, and Y represents the outcome.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1369800-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Selection of IVs</title>
<p>To discover SNPs substantially linked with both TL and hyperthyroidism, we used a strict significance criterion of <italic>p</italic> &lt; 5 &#xd7; 10<sup>-8</sup>. In addition, we used strict criteria to exclude any association between genetic markers, using a 10,000 kilobase aggregation window and putting the <italic>r</italic>
<sup>2</sup> threshold at 0.001. Afterwards, each SNP was carefully examined for any departures from basic assumptions &#x2461; and &#x2462; by consulting the PhenoScanner database. To evaluate the efficacy of IVs, we calculated the <italic>F</italic>-statistic for each SNP as well as for the full set. We take the formulas (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>) for calculating <italic>F</italic>-statistic for single SNP and total set. A <italic>F</italic>-statistic greater than 10 suggests a significant association between the SNP and the observed phenotype.</p>
<p>MR also entails ascertaining the concordance between the exposure SNP and its impact on the same gene, therefore influencing the outcome. We excluded palindromic SNPs to prevent any potential biases caused by strand orientation or allele coding. We removed palindromic SNPs with intermediate allele frequency and standardized the exposure and outcome data. The MR-PRESSO (<xref ref-type="bibr" rid="B25">25</xref>) and MR Egger (<xref ref-type="bibr" rid="B26">26</xref>) methods were used to mitigate the impact of horizontal pleiotropy. The MR-PRESSO outlier test generated <italic>p</italic>-values to assess the pleiotropy of each SNP, while the global test determined an overall <italic>p</italic>-value to quantify horizontal pleiotropy. The SNPs were sorted based on their MR-PRESSO outlier test <italic>p</italic>-values. Subsequent global testing of MR-PRESSO was conducted on the remaining SNPs after the elimination of each individual SNP. The <italic>p</italic>-value surpassed 0.05, indicating a lack of statistical significance. The subsequent MR study used the remaining SNPs after excluding pleiotropic SNPs. Then inverse MR analysis has been finished.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data source</title>
<p>All data was obtained from the public available IEU Open GWAS project. After a thorough and careful evaluation, we excluded unnecessary studies and individuals who were not of European descent. Our analysis utilized summary-level data from GWAS that specifically investigated the genetic factors linked to TL. The TL data we primarily relied on came from the UK Biobank (<xref ref-type="bibr" rid="B27">27</xref>). More precisely, genetic variations associated with the length of telomeres were obtained from GWAS that included a group of 472,174 people. This group included an almost equal proportion of men (45.8%) and females (54.2%), and all participants were of European descent (<xref ref-type="bibr" rid="B28">28</xref>). In the case of hyperthyroidism, SNPs were chosen as IVs from a GWAS dataset obtained from the GWAS Catalog (<xref ref-type="bibr" rid="B29">29</xref>) and FinnGen. The sample size of Hyperthyroidism which from the GWAS database consists of 460,499 people of European descent, consisting of 3,557 cases and 456,942 controls. The sample size of Hyperthyroidism which from the FinnGen consists of 173,938 people of European descent, consisting of 962 cases and 172,976 controls. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> presents a concise summary of the results in this investigation.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>An overview of the GWAS summary statistics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Traits</th>
<th valign="top" align="left">Data source</th>
<th valign="top" align="left">Author &amp; Year</th>
<th valign="top" align="left">Sample Size</th>
<th valign="top" align="left">Cases</th>
<th valign="top" align="left">Control</th>
<th valign="top" align="left">No. of SNPs</th>
<th valign="top" align="left">Sex</th>
<th valign="top" align="left">Ancestry</th>
<th valign="top" align="left">GWAS ID</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">TL</td>
<td valign="top" align="left">UK Biobank</td>
<td valign="top" align="left">Codd et&#xa0;al. (2021)</td>
<td valign="top" align="left">472,174</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">472,174</td>
<td valign="top" align="left">20,134,421</td>
<td valign="top" align="left">Males and Females</td>
<td valign="top" align="left">European</td>
<td valign="top" align="left">ieu-b-4879</td>
</tr>
<tr>
<td valign="top" align="center">Hyperthyroidism</td>
<td valign="top" align="left">GWAS Catalog</td>
<td valign="top" align="left">Sakaue et&#xa0;al. (2021)</td>
<td valign="top" align="left">460,499</td>
<td valign="top" align="left">3,557</td>
<td valign="top" align="left">456,942</td>
<td valign="top" align="left">24,189,279</td>
<td valign="top" align="left">Males and Females</td>
<td valign="top" align="left">European</td>
<td valign="top" align="left">ebi-a-GCST90018860</td>
</tr>
<tr>
<td valign="top" align="center">Hyperthyroidism</td>
<td valign="top" align="center">FinnGen</td>
<td valign="middle" align="left">Tuomo Kiiskinen et&#xa0;al. (2021)</td>
<td valign="top" align="left">173,938</td>
<td valign="top" align="left">962</td>
<td valign="top" align="left">172,976</td>
<td valign="top" align="left">16,380,189</td>
<td valign="middle" align="left">Males and Females</td>
<td valign="middle" align="left">European</td>
<td valign="middle" align="left">finn-b-AUTOIMMUNE_HYPERTHYROIDISM</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>In order to examine the cause-and-effect connection between TL and hyperthyroidism, we used the IVW random-effects model (<xref ref-type="bibr" rid="B30">30</xref>) as our main method. Combining Wald for each SNP within a meta-analysis paradigm was part of this analysis. Additionally, we utilized other two techniques, such as the WM (<xref ref-type="bibr" rid="B31">31</xref>), MR Egger (<xref ref-type="bibr" rid="B26">26</xref>) to reassure that our results would remain stable. We conducted sensitivity analyses to ensure robustness, including assessments for heterogeneity, pleiotropy, leave-one-out tests, and MR-PRESSO analysis. Heterogeneity was assessed with Cochran&#x2019;s Q test (<xref ref-type="bibr" rid="B32">32</xref>) (&lt; 0.05 considered significant). MR-Egger intercept analysis evaluated directional pleiotropy (<italic>p</italic> &gt; 0.05 indicates negligible pleiotropy). MR-PRESSO assessed outliers. Leave-one-out tests confirmed stability and reliability of causal relationships. The MR analyses were performed using the TwoSampleMR, mr.raps, forestploter, and MR-PRESSO programs in the R statistical environment, version 4.3.2.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Instrumental variables</title>
<p>In our forward MR, we originally chose 154 SNPs as IVs to investigate the relationship between TL and hyperthyroidism. PhenoScanner analysis could not find any connections between these SNPs and established confounding factors or outcomes. After removing palindromic SNPs, there were 141 remaining SNPs that were suitable for study. During the MR-PRESSO outlier testing, in the GWAS database, two SNPs, namely rs10774624 and rs2763979, were detected as outliers. In FinnGen, two SNPs, namely rs2306646 and rs762810, were detected as outliers. Post-outlier removal, every single SNP in this revised group had an F-statistic more than 10, thereby leading to a <italic>R</italic>
<sup>2</sup> value of 3.72%, with the combined F-statistic reaching 120.</p>
<p>In the reverse MR analysis, we first selected 13 SNPs as instrumental factors for hyperthyroidism, with a specific emphasis on studying hyperthyroidism. The PhenoScanner inquiry, like the TL analysis, discovered no correlation between these SNPs and any confounding variables or outcomes. After eliminating palindromic SNPs, a total of 12 and13 SNPs remained for further study. MR-PRESSO verified the dependability of these SNPs, identifying four SNPs (rs1794280, rs2160215, rs4338740, rs758778) and three SNPs (rs11571297, rsrs11646791, rs1794511) as anomalies. After removing these outliers, every single one of these SNPs had an F-statistic that significantly exceeded 10. The aggregate coefficient of determination (<italic>R</italic>
<sup>2</sup>) for these SNPs were 8.92 and 0.621, while their cumulative F-statistic amounted to -57625 and 13.12.</p>
<p>A detail list of SNPs that were excluded from the final analysis owing to not satisfying the inclusion criteria can be found in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>. The complete details of all SNPs included in the final analysis can be found in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>, which is included in the supplementary materials.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>MR results</title>
<p>Our forward MR analysis indicates that genetically predicted increases in TL significantly reduce the risk of hyperthyroidism. This causal relationship is consistently supported by three analytical methods&#x2014;IVW, Egger, and WM&#x2014;as shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. In the GWAS database, IVW analysis reveals a significant negative association between TL and hyperthyroidism (OR: 0.695, 95% CI: 0.541&#x2013;0.802, p &lt; 0.001), which is corroborated by Egger (OR: 0.578, 95% CI: 0.406&#x2013;0.822, p = 0.002) and WM (OR: 0.761, 95% CI: 0.570&#x2013;1.016, p = 0.063). Similarly, in the FinnGen database, IVW confirms this association (OR: 0.634, 95% CI: 0.479&#x2013;0.840, p = 0.001), supported by Egger (OR: 0.568, 95% CI: 0.345&#x2013;0.934, p = 0.027) and WM (OR: 0.551, 95% CI: 0.371&#x2013;0.820, p = 0.003).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot of the bidirectional two-samples MR analysis. SNP, single nucleotide polymorphism; OR, odds ratio.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1369800-g002.tif"/>
</fig>
<p>In contrast, reverse MR analysis finds no significant association between hyperthyroidism and TL. In the GWAS database, IVW reports an OR of 0.999 (95% CI: 0.987&#x2013;1.011, p = 0.844), Egger an OR of 0.997 (95% CI: 0.952&#x2013;1.044, p = 0.901), and WM an OR of 1.002 (95% CI: 0.989&#x2013;1.015, p = 0.742). Similarly, in the FinnGen database, IVW suggests a slight association (OR: 0.984, 95% CI: 0.972&#x2013;0.996, p = 0.009), but Egger (OR: 0.959, 95% CI: 0.946&#x2013;0.971, p &lt; 0.001) and WM (OR: 0.991, 95% CI: 0.981&#x2013;1.001, p = 0.105) do not indicate a strong causal link. These findings are summarized in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>.</p>
<p>In our bidirectional MR analysis, leave-one-out evaluations and funnel plots were used to examine the relationship between TL and hyperthyroidism, as shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. The forward MR funnel plot revealed a symmetrical distribution, supported by IVW (p &lt; 0.001, p = 0.001) and MR-Egger (p = 0.002, p = 0.027) analyses. In contrast, the reverse MR funnel plot showed asymmetry, suggesting potential bias, with GWAS IVW (p = 0.844), MR-Egger (p = 0.901), FinnGen IVW (p = 0.009), and MR-Egger (p &lt; 0.001) results confirming this.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Visualization of MR analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-15-1369800-g003.tif"/>
</fig>
<p>Leave-one-out analyses in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> validated the stability of the results, showing a consistent negative causal link in forward MR and no significant relationship in reverse MR. Scatter plots in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> further illustrate a significant negative association in forward MR and no correlation in reverse MR, reinforcing the robustness of our findings.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Sensitivity analysis</title>
<p>We investigated both the presence of heterogeneity and horizontal pleiotropy, and detailed findings are provided in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. In this study, we explored the association between TL and hyperthyroidism. Utilizing 139 SNPs and 137SNPs as explanatory variables, we accounted for 3.72% and 0.9% of the variation (<italic>r</italic>
<sup>2</sup>), demonstrating robust F-statistic of 120 and 125.64. Heterogeneity tests, such as MR Egger and IVW from GWAS, resulted in Q values of 189 (<italic>p</italic> = 0.002) and 190 (<italic>p</italic> = 0.002) respectively, indicating substantial heterogeneity. In FinnGen, resulted in Q values of 208 (<italic>p</italic>&lt;0.001) and 209 (<italic>p</italic>&lt;0.001) respectively, indicating substantial heterogeneity. The assessment of Pleiotropy by MR Egger and MR-PRESSO indicated that the results were statistically significant.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Heterogeneity and pleiotropy in our bidirectional MR analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="left">Exposure</th>
<th valign="middle" rowspan="3" align="left">Outcome</th>
<th valign="middle" rowspan="3" align="left">No. of SNPs</th>
<th valign="middle" rowspan="3" align="left">
<italic>R<sup>2</sup>
</italic>
</th>
<th valign="middle" rowspan="3" align="left">F-statistic</th>
<th valign="middle" colspan="4" align="left">Heterogeneity</th>
<th valign="middle" colspan="4" align="left">Pleiotropy</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">MR Egger</th>
<th valign="middle" colspan="2" align="left">IVW</th>
<th valign="middle" colspan="2" align="left">MR-Egger</th>
<th valign="middle" colspan="2" align="left">MR-PRESSO</th>
</tr>
<tr>
<th valign="middle" align="left">Q</th>
<th valign="middle" align="left">
<italic>p</italic>-value</th>
<th valign="middle" align="left">Q</th>
<th valign="middle" align="left">
<italic>p</italic>-value</th>
<th valign="middle" align="left">Intercept</th>
<th valign="middle" align="left">
<italic>p</italic>
</th>
<th valign="middle" align="left">RSSobs</th>
<th valign="middle" align="left">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">TL</td>
<td valign="middle" align="center">Hyperthyroidism from GWAS</td>
<td valign="middle" align="center">139</td>
<td valign="middle" align="center">0.037</td>
<td valign="middle" align="center">120</td>
<td valign="middle" align="center">189</td>
<td valign="middle" align="center">0.002</td>
<td valign="middle" align="center">190</td>
<td valign="middle" align="center">0.002</td>
<td valign="middle" align="center">0.004</td>
<td valign="middle" align="center">0.379</td>
<td valign="middle" align="center">193</td>
<td valign="middle" align="center">0.002</td>
</tr>
<tr>
<td valign="middle" align="center">Hyperthyroidism from GWAS</td>
<td valign="middle" align="center">TL</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">8.92</td>
<td valign="middle" align="center">-57625</td>
<td valign="middle" align="center">11.8</td>
<td valign="middle" align="center">0.067</td>
<td valign="middle" align="center">11.8</td>
<td valign="middle" align="center">0.108</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.939</td>
<td valign="middle" align="center">14.3</td>
<td valign="middle" align="center">0.156</td>
</tr>
<tr>
<td valign="middle" align="center">TL</td>
<td valign="middle" align="center">Hyperthyroidism from FinnGen</td>
<td valign="middle" align="center">137</td>
<td valign="middle" align="center">0.009</td>
<td valign="middle" align="center">125.64</td>
<td valign="middle" align="center">208</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">209</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.003</td>
<td valign="middle" align="center">0.598</td>
<td valign="middle" align="center">213</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="center">Hyperthyroidism from FinnGen</td>
<td valign="middle" align="center">TL</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">0.621</td>
<td valign="middle" align="center">13.12</td>
<td valign="middle" align="center">15.306</td>
<td valign="middle" align="center">0.053</td>
<td valign="middle" align="center">56.025</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.009</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">120.441</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Our reverse MR study, which used hyperthyroidism as the independent variable and included 8 and 10 SNPs, produced the <italic>R</italic>
<sup>2</sup> value of 8.92 and 0.621. F-statistic are of -57625 and 13.12. The observed direction exhibited heterogeneity, as shown by Q values of 11.8 (<italic>p</italic> = 0.067) and 15.306(<italic>p</italic> = 0.053) for MR Egger, 11.8 (<italic>p</italic> = 0.108) and 56.025(<italic>p</italic>&lt;0.001) for IVW. The results in the GWAS database showed a lack of pleiotropic effects. in the FinnGen database, a significant pleiotropic effect was shown.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>By two-sample bidirectional MR analyses, we firstly have explored that increased telomere length is associated with decreased risk of hyperthyroidism. An previous investigation (<xref ref-type="bibr" rid="B33">33</xref>) suggested an association between genetic variants governing TL and thyroid cancer risk. Our current study expands upon this assertion by leveraging data from larger cohorts than previously employed. Through a comprehensive and focused analysis, we establish a causal relationship between TL and hyperthyroidism. Our findings demonstrated robustness and consistency across various MR methods. Collectively, the result offers compelling evidence supporting a causal connection between shortened telomeres and hyperthyroidism, hinting at distinct underlying mechanisms for the disease. We further validated the causal link between hyperthyroidism and TL, we found no significant association in GWAS (IVW, OR = 0.999, <italic>p</italic> = 0.844, 95% CI: 0.987-1.011). In FinnGen, we found association between TL and hyperthyroidism (IVW, OR = 0.984, <italic>p</italic> = 0.009, 95% CI: 0.972-0.996). This suggests a specific correlation between TL and the progression of hyperthyroidism. In our MR study, we incorporated valid IVs from the latest and most extensive GWAS database of TL. Subsequently, we established stringent criteria for IV selection, opting only for TL variants significantly associated with TL measurements and meeting the three core assumptions of MR analysis. Additionally, to mitigate bias in causal estimation, we employed three MR methods, ensuring the validity and consistency of results in sensitivity analyses. Addressing heterogeneity, horizontal pleiotropy, and outliers, our findings suggest that hyperthyroidism may result from shortened TL and a senescent immune system. Conversely, hyperthyroidism appears to have no impact on TL.</p>
<p>Hyperthyroidism itself is not typically considered an age-related disease, but the risk factors and underlying causes can be influenced by age-related factors (<xref ref-type="bibr" rid="B34">34</xref>). This is an intricate biological process that may be roughly categorized into replicative senescence, caused by inherent cellular mechanisms such as telomere shortening, and cellular senescence, which can be induced by different stressors such oxidative stress and DNA damage (<xref ref-type="bibr" rid="B35">35</xref>). Based on our research, we hypothesize that the process of telomere shortening may play a significant role in causing cellular senescence in hyperthyroidism. This is similar to how telomere-associated driver mutations are linked to rheumatoid arthritis (<xref ref-type="bibr" rid="B36">36</xref>), systemic sclerosis (<xref ref-type="bibr" rid="B37">37</xref>), and systemic lupus erythematosus (<xref ref-type="bibr" rid="B38">38</xref>). Shorter TL could also result from immune senescence (<xref ref-type="bibr" rid="B39">39</xref>). Currently, there is a growing recognition of the correlation between telomere and hyperthyroidism. The process of telomere length shortening is accelerated by age (<xref ref-type="bibr" rid="B40">40</xref>), and this is likely a component of the modified immune response seen in individuals with hyperthyroidism. To reduce the role of confounding factors, we excluded TL variations in our MR analysis that are related with features that might independently affect the risk of hyperthyroidism. prior research consistently indicates that a shorter TL is associated with an increased risk of developing immune-mediated inflammatory diseases (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Our results align with these prior studies.</p>
<p>The result indicating a cause-and-effect relationship between premature telomere erosion and hyperthyroidism offers many possibilities. Possible therapeutic strategies may include interventions targeting inadequate telomere maintenance, either on a broad scale or specifically in cells that play a significant role in the development of the illness (<xref ref-type="bibr" rid="B43">43</xref>). Replenishing telomere length is a complex process that cannot be easily achieved, since just enhancing the activity of telomerase may raise the likelihood of developing cancer (<xref ref-type="bibr" rid="B44">44</xref>). Current clinical studies, such as NCT04110964 (<xref ref-type="bibr" rid="B45">45</xref>), are examining this method in different medical diseases. Safe telomerase activation treatment is being investigated in other medical disciplines, such as cardiology, to mitigate the possible danger of increasing endogenous telomerase activity (<xref ref-type="bibr" rid="B46">46</xref>). This therapy involves temporarily delivering modified TERT RNA to prevent sustained elevation of telomerase activity (<xref ref-type="bibr" rid="B47">47</xref>). Despite encountering difficulties in achieving <italic>in vivo</italic> targeted distribution, the use of this method in hyperthyroidism may become possible in the future due to potential advancements. Androgens may also normalize telomerase levels in cells from individuals with telomere illness who have heterozygous mutations in the TERT gene (<xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>Approaches that enhance general well-being while positively influencing TL promotion exist. Speculatively, these approaches could be further integrated into the clinical management of hyperthyroidism patients (<xref ref-type="bibr" rid="B49">49</xref>), incorporating strategies such as exercise (<xref ref-type="bibr" rid="B50">50</xref>), stress reduction (<xref ref-type="bibr" rid="B51">51</xref>), and mindfulness (<xref ref-type="bibr" rid="B52">52</xref>). Our findings indicate that individuals with hyperthyroidism tend to engage in reduced physical activity, likely exacerbated by poor physical health. Thoughtfully increasing exercise could yield multiple benefits, promoting chromosomal telomere length while enhancing fitness and mental health (<xref ref-type="bibr" rid="B50">50</xref>). Similarly, stress resulting from challenging life circumstances, like social deprivation, may be alleviated through mindfulness practices (<xref ref-type="bibr" rid="B51">51</xref>). Relatively straightforward measures that enhance patient well-being could fundamentally contribute to reducing telomere attrition.</p>
<p>Our research has many limitations. The major investigations of TL and hyperthyroidism GWAS solely involved individuals of European ethnicity. As a result, the generalizability of our findings to other populations is uncertain, emphasizing the need for stratification by various racial groups. Secondly, our MR analysis was confined to summary-level statistics, with individual-level data remaining inaccessible. This limitation restricts our ability to conduct stratified analyses based on specific factors. Thirdly, information on the subtype and severity of hyperthyroidism was not available, preventing the estimation of the relationship between TL and different hyperthyroidism subtypes and severity levels. Fourthly, there may be unidentified confounders influencing the associations between TL and hyperthyroidism that require further investigation. Lastly, it is essential to recognize that telomere length is determined by a combination of genetics, environmental factors, lifestyles, and epigenetic modifications. Hence, it is essential to acknowledge that our findings only partly clarify the causative impact of TL on hyperthyroidism.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The finding that longer telomeres reduce hyperthyroidism risk highlights the need to validate hyperthyroidism&#x2019;s impact on telomere length, offering valuable insights for prevention and treatment.</p>
</sec>
</body>
<back>
<sec id="s6" 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="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The analyses conducted in this study exclusively relied on publicly accessible summary data, obviating the need for institutional review board approval.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SZ: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ZH: Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. QC: Data curation, Methodology, Writing &#x2013; original draft. XL: Data curation, Formal analysis, Writing &#x2013; original draft. WW: Data curation, Software, Writing &#x2013; original draft. FZ: Conceptualization, Methodology, Project administration, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" 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>
<ack>
<title>Acknowledgments</title>
<p>We would like to acknowledge the IEU Open GWAS Project for their efforts in making GWAS data accessible, which greatly contributed to our research.</p>
</ack>
<sec id="s10" 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="s11" 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="s12" 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.2024.1369800/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2024.1369800/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Taylor</surname> <given-names>PN</given-names>
</name>
<name>
<surname>Albrecht</surname> <given-names>D</given-names>
</name>
<name>
<surname>Scholz</surname> <given-names>A</given-names>
</name>
<name>
<surname>Gutierrez-Buey</surname> <given-names>G</given-names>
</name>
<name>
<surname>Lazarus</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Dayan</surname> <given-names>CM</given-names>
</name>
<etal/>
</person-group>. <article-title>Global epidemiology of hyperthyroidism and hypothyroidism</article-title>. <source>Nat Rev Endocrinol</source>. (<year>2018</year>) <volume>14</volume>(<issue>5</issue>):<page-range>301&#x2013;16</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrendo.2018.18</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vanderpump</surname> <given-names>MP</given-names>
</name>
</person-group>. <article-title>The epidemiology of thyroid disease</article-title>. <source>Br Med Bull</source>. (<year>2011</year>) <volume>99</volume>:<page-range>39&#x2013;51</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/bmb/ldr030</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>van Heemst</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>The ageing thyroid: implications for longevity and patient care</article-title>. <source>Nat Rev Endocrinol</source>. (<year>2024</year>) <volume>20</volume>:<fpage>5</fpage>&#x2013;<lpage>15</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41574-023-00911-7</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>J</given-names>
</name>
<name>
<surname>Park</surname> <given-names>J-W</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>HI</given-names>
</name>
<name>
<surname>Park</surname> <given-names>C-B</given-names>
</name>
<name>
<surname>Cho</surname> <given-names>S-H</given-names>
</name>
</person-group>. <article-title>Thyroid-gonadal hormonal interplay in zebrafish exposed to sodium perchlorate: Implications for reproductive health</article-title>. <source>Chemosphere</source>. (<year>2024</year>) <volume>346</volume>:<elocation-id>140662</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.chemosphere.2023.140662</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fenneman</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Bruinstroop</surname> <given-names>E</given-names>
</name>
<name>
<surname>Nieuwdorp</surname> <given-names>M</given-names>
</name>
<name>
<surname>van der Spek</surname> <given-names>AH</given-names>
</name>
</person-group>. <article-title>amp]]amp; Boelen, A. A comprehensive review of thyroid hormone metabolism in the gut and its clinical implications</article-title>. <source>Thyroid&#xae;</source>. (<year>2022</year>) <volume>33</volume>:<fpage>32</fpage>&#x2013;<lpage>44</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/thy.2022.0491</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>L&#x2019;Heureux</surname> <given-names>A</given-names>
</name>
<name>
<surname>Wieland</surname> <given-names>DR</given-names>
</name>
<name>
<surname>Weng</surname> <given-names>C-H</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Y-H</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>C-H</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>T-H</given-names>
</name>
<etal/>
</person-group>. <article-title>Association between thyroid disorders and colorectal cancer risk in adult patients in Taiwan</article-title>. <source>JAMA Network Open</source>. (<year>2019</year>) <volume>2</volume>:<fpage>e193755</fpage>&#x2013;<lpage>e193755</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamanetworkopen.2019.3755</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Petranovi&#x107; Ov&#x10d;ari&#x10d;ek</surname> <given-names>P</given-names>
</name>
<name>
<surname>Verburg</surname> <given-names>FA</given-names>
</name>
<name>
<surname>Hoffmann</surname> <given-names>M</given-names>
</name>
<name>
<surname>Iakovou</surname> <given-names>I</given-names>
</name>
<name>
<surname>Mihailovic</surname> <given-names>J</given-names>
</name>
<name>
<surname>Vrachimis</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Higher thyroid hormone levels and cancer</article-title>. <source>Eur J Nucl Med Mol Imaging</source>. (<year>2021</year>) <volume>48</volume>:<page-range>808&#x2013;21</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-020-05018-z</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Osman</surname> <given-names>F</given-names>
</name>
<name>
<surname>Franklyn</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Holder</surname> <given-names>RL</given-names>
</name>
<name>
<surname>Sheppard</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Gammage</surname> <given-names>MD</given-names>
</name>
</person-group>. <article-title>Cardiovascular manifestations of hyperthyroidism before and after antithyroid therapy: a matched case-control study</article-title>. <source>J Am Coll Cardiol</source>. (<year>2007</year>) <volume>49</volume>:<fpage>71</fpage>&#x2013;<lpage>81</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jacc.2006.08.042</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Graettinger</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Muenster</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Selverstone</surname> <given-names>LA</given-names>
</name>
</person-group>. <article-title>amp]]amp; Campbell, J. A. A correlation of clinical and hemodynamic studies in patients with hyperthyroidism with and without congestive heart failure</article-title>. <source>J Clin Invest</source>. (<year>1959</year>) <volume>38</volume>:<page-range>1316&#x2013;27</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI103906</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baliram</surname> <given-names>R</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Latif</surname> <given-names>R</given-names>
</name>
<name>
<surname>Huber</surname> <given-names>AK</given-names>
</name>
<etal/>
</person-group>. <article-title>Hyperthyroid-associated osteoporosis is exacerbated by the loss of TSH signaling</article-title>. <source>J Clin Invest</source>. (<year>2012</year>) <volume>122</volume>:<page-range>3737&#x2013;41</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI63948</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cho</surname> <given-names>GJ</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>S-Y</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>HC</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>K-M</given-names>
</name>
<name>
<surname>Han</surname> <given-names>SW</given-names>
</name>
<name>
<surname>Oh</surname> <given-names>M-J</given-names>
</name>
<etal/>
</person-group>. <article-title>Risk of adverse obstetric outcomes and the abnormal growth of offspring in women with a history of thyroid cancer</article-title>. <source>Thyroid</source>. (<year>2019</year>) <volume>29</volume>:<page-range>879&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/thy.2018.0283</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>ANDRUS</surname> <given-names>EC</given-names>
</name>
<name>
<surname>MCEACHERN</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>Studies on the increased metabolism in hyperthyroidism</article-title>. <source>Ann Internal Med</source>. (<year>1935</year>) <volume>9</volume>:<page-range>579&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7326/0003-4819-9-5-579</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shulman</surname> <given-names>G</given-names>
</name>
<name>
<surname>Ladenson</surname> <given-names>P</given-names>
</name>
<name>
<surname>Wolfe</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ridgway</surname> <given-names>E</given-names>
</name>
<name>
<surname>Wolfe</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Substrate cycling between gluconeogenesis and glycolysis in euthyroid, hypothyroid, and hyperthyroid man</article-title>. <source>J Clin Invest</source>. (<year>1985</year>) <volume>76</volume>:<page-range>757&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1172/JCI112032</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ross</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Burch</surname> <given-names>HB</given-names>
</name>
<name>
<surname>Cooper</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Greenlee</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Laurberg</surname> <given-names>P</given-names>
</name>
<name>
<surname>Maia</surname> <given-names>AL</given-names>
</name>
<etal/>
</person-group>. <article-title>2016 american thyroid association guidelines for diagnosis and management of hyperthyroidism and other causes of thyrotoxicosis</article-title>. <source>Thyroid&#xae;</source>. (<year>2016</year>) <volume>26</volume>:<page-range>1343&#x2013;421</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/thy.2016.0229</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gauthier</surname> <given-names>BR</given-names>
</name>
<name>
<surname>Sola-Garc&#xed;a</surname> <given-names>A</given-names>
</name>
<name>
<surname>C&#xe1;liz-Molina</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lorenzo</surname> <given-names>PI</given-names>
</name>
<name>
<surname>Cobo-Vuilleumier</surname> <given-names>N</given-names>
</name>
<name>
<surname>Capilla-Gonz&#xe1;lez</surname> <given-names>V</given-names>
</name>
<etal/>
</person-group>. <article-title>Thyroid hormones in diabetes, cancer, and aging</article-title>. <source>Aging Cell</source>. (<year>2020</year>) <volume>19</volume>:<elocation-id>e13260</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/acel.13260</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Feng</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Xia</surname> <given-names>W</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>G</given-names>
</name>
<name>
<surname>Lv</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>The aging features of thyrotoxicosis mice: malnutrition, immunosenescence and lipotoxicity</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>864929</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.864929</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sanderson</surname> <given-names>E</given-names>
</name>
<name>
<surname>Glymour</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Holmes</surname> <given-names>MV</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Morrison</surname> <given-names>J</given-names>
</name>
<name>
<surname>Munaf&#xf2;</surname> <given-names>MR</given-names>
</name>
<etal/>
</person-group>. <article-title>Mendelian randomization</article-title>. <source>Nat Rev Methods Primers</source>. (<year>2022</year>) <volume>2</volume>:<elocation-id>6</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s43586-021-00092-5</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lai</surname> <given-names>W</given-names>
</name>
<name>
<surname>Li</surname> <given-names>G</given-names>
</name>
<name>
<surname>Peng</surname> <given-names>D</given-names>
</name>
<name>
<surname>Li</surname> <given-names>N</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Mendelian randomization study reveals the relationship between dietary factors and respiratory diseases</article-title>. <source>Sci Rep</source>. (<year>2023</year>) <volume>13</volume>:<fpage>22601</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-023-50055-x</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bojesen</surname> <given-names>SE</given-names>
</name>
<name>
<surname>Nordestgaard</surname> <given-names>BG</given-names>
</name>
<name>
<surname>Rode</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wium-Andersen</surname> <given-names>MK</given-names>
</name>
<name>
<surname>&#xd8;rsted</surname> <given-names>DD</given-names>
</name>
</person-group>. <article-title>Telomere length and depression: Prospective cohort study and Mendelian randomisation study in 67 306 individuals</article-title>. <source>Br J Psychiatry</source>. (<year>2017</year>) <volume>210</volume>:<page-range>31&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1192/bjp.bp.115.178798</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rode</surname> <given-names>L</given-names>
</name>
<name>
<surname>Nordestgaard</surname> <given-names>BG</given-names>
</name>
<name>
<surname>Bojesen</surname> <given-names>SE</given-names>
</name>
</person-group>. <article-title>Peripheral blood leukocyte telomere length and mortality among 64 637 individuals from the general population</article-title>. <source>JNCI: J Natl Cancer Institute</source>. (<year>2015</year>) <volume>107</volume>:<elocation-id>djv074</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/jnci/djv074</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ye</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhan</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Genetic association of leukocyte telomere length with Graves&#x2019; disease in Biobank Japan: A two-sample Mendelian randomization study</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>998102</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.998102</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liao</surname> <given-names>Q</given-names>
</name>
<name>
<surname>He</surname> <given-names>J</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>F-F</given-names>
</name>
<name>
<surname>Bi</surname> <given-names>F-F</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>A causal relationship between leukocyte telomere length and multiple sclerosis: A Mendelian randomization study</article-title>. <source>Front Immunol</source>. (<year>2022</year>) <volume>13</volume>:<elocation-id>922922</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.922922</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pan</surname> <given-names>R</given-names>
</name>
<name>
<surname>Xiao</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wan</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Associations of genetically predicted circulating levels of cytokines with telomere length: a Mendelian randomization study</article-title>. <source>Front Immunol</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1276257</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2023.1276257</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bai</surname> <given-names>C</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Qiu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Leukocyte telomere length is associated with increased risk of endometriosis: a bidirectional two-sample Mendelian randomization study</article-title>. <source>Front Endocrinol</source>. (<year>2023</year>) <volume>14</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2023.1272200</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Verbanck</surname> <given-names>M</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>C-Y</given-names>
</name>
<name>
<surname>Neale</surname> <given-names>B</given-names>
</name>
<name>
<surname>Do</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases</article-title>. <source>Nat Genet</source>. (<year>2018</year>) <volume>50</volume>:<page-range>693&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41588-018-0099-7</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Burgess</surname> <given-names>S</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>SG</given-names>
</name>
</person-group>. <article-title>Interpreting findings from Mendelian randomization using the MR-Egger method</article-title>. <source>Eur J Epidemiol</source>. (<year>2017</year>) <volume>32</volume>:<page-range>377&#x2013;89</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10654-017-0255-x</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sudlow</surname> <given-names>C</given-names>
</name>
<name>
<surname>Gallacher</surname> <given-names>J</given-names>
</name>
<name>
<surname>Allen</surname> <given-names>N</given-names>
</name>
<name>
<surname>Beral</surname> <given-names>V</given-names>
</name>
<name>
<surname>Burton</surname> <given-names>P</given-names>
</name>
<name>
<surname>Danesh</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age</article-title>. <source>PloS Med</source>. (<year>2015</year>) <volume>12</volume>:<elocation-id>e1001779</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pmed.1001779</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rentsch</surname> <given-names>CT</given-names>
</name>
<name>
<surname>Garfield</surname> <given-names>V</given-names>
</name>
<name>
<surname>Mathur</surname> <given-names>R</given-names>
</name>
<name>
<surname>Eastwood</surname> <given-names>SV</given-names>
</name>
<name>
<surname>Smeeth</surname> <given-names>L</given-names>
</name>
<name>
<surname>Chaturvedi</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Sex-specific risks for cardiovascular disease across the glycaemic spectrum: a population-based cohort study using the UK Biobank</article-title>. <source>Lancet Regional Health&#x2013;Europe</source>. (<year>2023</year>) <volume>32</volume>:<elocation-id>100693</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1101/2023.03.16.23287310</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kurki</surname> <given-names>MI</given-names>
</name>
<name>
<surname>Karjalainen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Palta</surname> <given-names>P</given-names>
</name>
<name>
<surname>Sipil&#xe4;</surname> <given-names>TP</given-names>
</name>
<name>
<surname>Kristiansson</surname> <given-names>K</given-names>
</name>
<name>
<surname>Donner</surname> <given-names>KM</given-names>
</name>
<etal/>
</person-group>. <article-title>FinnGen provides genetic insights from a well-phenotyped isolated population</article-title>. <source>Nature</source>. (<year>2023</year>) <volume>613</volume>:<page-range>508&#x2013;18</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-022-05473-8</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Cook</surname> <given-names>S</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>JS</given-names>
</name>
<name>
<surname>Han</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Comparison of two meta-analysis methods: inverse-variance-weighted average and weighted sum of Z-scores</article-title>. <source>Genomics Inf</source>. (<year>2016</year>) <volume>14</volume>:<fpage>173</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5808/GI.2016.14.4.173</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brownrigg</surname> <given-names>DR</given-names>
</name>
</person-group>. <article-title>The weighted median filter</article-title>. <source>Commun ACM</source>. (<year>1984</year>) <volume>27</volume>:<page-range>807&#x2013;18</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1145/358198.358222</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pereira</surname> <given-names>TV</given-names>
</name>
<name>
<surname>Patsopoulos</surname> <given-names>NA</given-names>
</name>
<name>
<surname>Salanti</surname> <given-names>G</given-names>
</name>
<name>
<surname>Ioannidis</surname> <given-names>JP</given-names>
</name>
</person-group>. <article-title>Critical interpretation of Cochran&#x2019;s Q test depends on power and prior assumptions about heterogeneity</article-title>. <source>Res Synth Methods</source>. (<year>2010</year>) <volume>1</volume>:<page-range>149&#x2013;61</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jrsm.v1:2</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Li</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Appraising the effect of potential risk factors on thyroid cancer: A mendelian randomization study</article-title>. <source>J Clin Endocrinol Metab</source>. (<year>2022</year>) <volume>107</volume>:<page-range>e2783&#x2013;91</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/clinem/dgac196</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mariotti</surname> <given-names>S</given-names>
</name>
<name>
<surname>Franceschi</surname> <given-names>C</given-names>
</name>
<name>
<surname>Cossarizza</surname> <given-names>A</given-names>
</name>
<name>
<surname>Pinchera</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>The aging thyroid</article-title>. <source>Endocr Rev</source>. (<year>1995</year>) <volume>16</volume>:<fpage>686</fpage>&#x2013;<lpage>715</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/edrv-16-6-686</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schumacher</surname> <given-names>B</given-names>
</name>
<name>
<surname>Pothof</surname> <given-names>J</given-names>
</name>
<name>
<surname>Vijg</surname> <given-names>J</given-names>
</name>
<name>
<surname>Hoeijmakers</surname> <given-names>JH</given-names>
</name>
</person-group>. <article-title>The central role of DNA damage in the ageing process</article-title>. <source>Nature</source>. (<year>2021</year>) <volume>592</volume>:<fpage>695</fpage>&#x2013;<lpage>703</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41586-021-03307-7</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Steer</surname> <given-names>S</given-names>
</name>
<name>
<surname>Williams</surname> <given-names>FM</given-names>
</name>
<name>
<surname>Kato</surname> <given-names>B</given-names>
</name>
<name>
<surname>Gardner</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Norman</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Hall</surname> <given-names>MA</given-names>
</name>
<etal/>
</person-group>. <article-title>Reduced telomere length in rheumatoid arthritis is independent of disease activity and duration</article-title>. <source>Ann rheumatic Dis</source>. (<year>2006</year>) <volume>66</volume>(<issue>4</issue>):<page-range>476&#x2013;480</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/ard.2006.059188</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Adler</surname> <given-names>BL</given-names>
</name>
<name>
<surname>Boin</surname> <given-names>F</given-names>
</name>
<name>
<surname>Wolters</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Bingham</surname> <given-names>CO</given-names>
</name>
<name>
<surname>Shah</surname> <given-names>AA</given-names>
</name>
<name>
<surname>Greider</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Autoantibodies targeting telomere-associated proteins in systemic sclerosis</article-title>. <source>Ann rheumatic Dis</source>. (<year>2021</year>) <volume>80</volume>:<page-range>912&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/annrheumdis-2020-218918</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>XF</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>FF</given-names>
</name>
<name>
<surname>Leng</surname> <given-names>R</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>XK</given-names>
</name>
<name>
<surname>Ling</surname> <given-names>HZ</given-names>
</name>
<etal/>
</person-group>. <article-title>Telomere length and development of systemic lupus erythematosus: a Mendelian randomization study</article-title>. <source>Arthritis Rheumatol</source>. (<year>2022</year>) <volume>74</volume>:<page-range>1984&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/art.v74.12</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heba</surname> <given-names>A-C</given-names>
</name>
<name>
<surname>Toupance</surname> <given-names>S</given-names>
</name>
<name>
<surname>Arnone</surname> <given-names>D</given-names>
</name>
<name>
<surname>Peyrin-Biroulet</surname> <given-names>L</given-names>
</name>
<name>
<surname>Benetos</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ndiaye</surname> <given-names>NC</given-names>
</name>
</person-group>. <article-title>Telomeres: New players in immune-mediated inflammatory diseases</article-title>? <source>J Autoimmun</source>. (<year>2021</year>) <volume>123</volume>:<fpage>102699</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaut.2021.102699</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Epel</surname> <given-names>ES</given-names>
</name>
<name>
<surname>Blackburn</surname> <given-names>EH</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>J</given-names>
</name>
<name>
<surname>Dhabhar</surname> <given-names>FS</given-names>
</name>
<name>
<surname>Adler</surname> <given-names>NE</given-names>
</name>
<name>
<surname>Morrow</surname> <given-names>JD</given-names>
</name>
<etal/>
</person-group>. <article-title>Accelerated telomere shortening in response to life stress</article-title>. <source>Proc Natl Acad Sci</source>. (<year>2004</year>) <volume>101</volume>:<page-range>17312&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.0407162101</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Meng</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>The causal relationship between autoimmune thyroid disorders and telomere length: A Mendelian randomization and colocalization study</article-title>. <source>Clin Endocrinol</source>. (<year>2024</year>) <volume>100</volume>(<issue>3</issue>):<page-range>294&#x2013;303</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/cen.15004</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>M</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>P</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>X</given-names>
</name>
<name>
<surname>Bai</surname> <given-names>X</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Immune-mediated inflammatory diseases and leukocyte telomere length: A Mendelian randomization study</article-title>. <source>Front Genet</source>. (<year>2023</year>) <volume>14</volume>:<elocation-id>1129247</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fgene.2023.1129247</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Dou</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>T</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Aging and aging-related diseases: From molecular mechanisms to interventions and treatments</article-title>. <source>Signal Transduct Targeted Ther</source>. (<year>2022</year>) <volume>7</volume>:<fpage>391</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41392-022-01251-0</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shay</surname> <given-names>JW</given-names>
</name>
</person-group>. <article-title>Role of telomeres and telomerase in aging and cancer</article-title>. <source>Cancer Discovery</source>. (<year>2016</year>) <volume>6</volume>:<page-range>584&#x2013;93</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/2159-8290.CD-16-0062</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname> <given-names>J</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>L</given-names>
</name>
<name>
<surname>Marcelina</surname> <given-names>O</given-names>
</name>
<name>
<surname>Kasim</surname> <given-names>V</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Therapeutic angiogenesis-based strategy for peripheral artery disease</article-title>. <source>Theranostics</source>. (<year>2022</year>) <volume>12</volume>:<fpage>5015</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.7150/thno.74785</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hoffmann</surname> <given-names>J</given-names>
</name>
<name>
<surname>Richardson</surname> <given-names>G</given-names>
</name>
<name>
<surname>Haendeler</surname> <given-names>J</given-names>
</name>
<name>
<surname>Altschmied</surname> <given-names>J</given-names>
</name>
<name>
<surname>Andr&#xe9;s</surname> <given-names>V</given-names>
</name>
<name>
<surname>Spyridopoulos</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>Telomerase as a therapeutic target in cardiovascular disease</article-title>. <source>Arterioscler Thrombosis Vasc Biol</source>. (<year>2021</year>) <volume>41</volume>:<page-range>1047&#x2013;61</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1161/ATVBAHA.120.315695</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>H</given-names>
</name>
<name>
<surname>Deb</surname> <given-names>S</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>J-P</given-names>
</name>
</person-group>. <article-title>TERT regulates cell survival independent of telomerase enzymatic activity</article-title>. <source>Oncogene</source>. (<year>2002</year>) <volume>21</volume>:<page-range>3130&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/sj.onc.1205419</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Calado</surname> <given-names>RT</given-names>
</name>
<name>
<surname>Yewdell</surname> <given-names>WT</given-names>
</name>
<name>
<surname>Wilkerson</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Regal</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Kajigaya</surname> <given-names>S</given-names>
</name>
<name>
<surname>Stratakis</surname> <given-names>CA</given-names>
</name>
<etal/>
</person-group>. <article-title>Sex hormones, acting on the TERT gene, increase telomerase activity in human primary hematopoietic cells</article-title>. <source>Blood J Am Soc Hematol</source>. (<year>2009</year>) <volume>114</volume>:<page-range>2236&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2008-09-178871</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Umbricht</surname> <given-names>CB</given-names>
</name>
<name>
<surname>Conrad</surname> <given-names>GT</given-names>
</name>
<name>
<surname>Clark</surname> <given-names>DP</given-names>
</name>
<name>
<surname>Westra</surname> <given-names>WH</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>DC</given-names>
</name>
<name>
<surname>Zahurak</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Human telomerase reverse transcriptase gene expression and the surgical management of suspicious thyroid tumors</article-title>. <source>Clin Cancer Res</source>. (<year>2004</year>) <volume>10</volume>:<page-range>5762&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1078-0432.CCR-03-0389</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Denham</surname> <given-names>J</given-names>
</name>
<name>
<surname>O&#x2019;Brien</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Charchar</surname> <given-names>FJ</given-names>
</name>
</person-group>. <article-title>Telomere length maintenance and cardio-metabolic disease prevention through exercise training</article-title>. <source>Sports Med</source>. (<year>2016</year>) <volume>46</volume>:<page-range>1213&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40279-016-0482-4</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mathur</surname> <given-names>MB</given-names>
</name>
<name>
<surname>Epel</surname> <given-names>E</given-names>
</name>
<name>
<surname>Kind</surname> <given-names>S</given-names>
</name>
<name>
<surname>Desai</surname> <given-names>M</given-names>
</name>
<name>
<surname>Parks</surname> <given-names>CG</given-names>
</name>
<name>
<surname>Sandler</surname> <given-names>DP</given-names>
</name>
<etal/>
</person-group>. <article-title>Perceived stress and telomere length: A systematic review, meta-analysis, and methodologic considerations for advancing the field</article-title>. <source>Brain Behav Immun</source>. (<year>2016</year>) <volume>54</volume>:<page-range>158&#x2013;69</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bbi.2016.02.002</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Epel</surname> <given-names>E</given-names>
</name>
<name>
<surname>Daubenmier</surname> <given-names>J</given-names>
</name>
<name>
<surname>Moskowitz</surname> <given-names>JT</given-names>
</name>
<name>
<surname>Folkman</surname> <given-names>S</given-names>
</name>
<name>
<surname>Blackburn</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Can meditation slow rate of cellular aging? Cognitive stress, mindfulness, and telomeres</article-title>. <source>Ann New York Acad Sci</source>. (<year>2009</year>) <volume>1172</volume>:<fpage>34</fpage>&#x2013;<lpage>53</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1749-6632.2009.04414.x</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>