Zhu Shiben, Hao Ziyu, Chen Qihang, Liu Xiaoliu, Wu Wenyan, Zhang Fang
School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong, Hong Kong SAR, China.
Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Front Endocrinol (Lausanne). 2025 Jan 22;15:1369800. doi: 10.3389/fendo.2024.1369800. eCollection 2024.
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.
We aim to explore the casual relationship between TL and hyperthyroidism.
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.
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, 0.001) and IVW from FinnGen(OR:0.634, 95%CI: 0.479-0.840, = 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 ( > 0.05). Sensitivity analyses confirmed the robustness of these results, suggesting minimal susceptibility to confounding factors and bias.
The finding that longer telomeres reduce hyperthyroidism risk highlights the need to validate hyperthyroidism's impact on telomere length, offering valuable insights for prevention and treatment.
甲状腺功能亢进症的特征是促甲状腺激素水平低,存在多种并发症和风险,包括心脏问题、骨质疏松症、不良妊娠结局、非故意体重减轻以及未治疗的甲状腺功能亢进症相关的死亡率增加。然而,端粒长度(TL)与甲状腺功能亢进症之间的因果关系仍不清楚。
我们旨在探讨TL与甲状腺功能亢进症之间的因果关系。
采用两样本双向孟德尔随机化(MR)分析,使用逆方差加权(IVW)方法,并辅以加权中位数(WM)和MR Egger等其他方法。
TL的汇总统计数据来自英国生物银行,包括472174人,而甲状腺功能亢进症的数据来自全基因组关联研究目录(GWAS Catalog)和芬兰基因数据库(FinnGen database),分别涵盖460499人和173938人的队列。利用139个全基因组显著的单核苷酸多态性(SNP)作为TL的工具变量(IV),正向MR分析表明TL对甲状腺功能亢进症有负向因果效应。根据来自GWAS Catalog的IVW形式(比值比:0.659,95%置信区间:0.541 - 0.802,P = 0.001)和来自FinnGen的IVW(比值比:0.634,95%置信区间:0.479 - 0.840,P = 0.001),随着基因预测的TL增加一个标准差,甲状腺功能亢进症的风险降低。其他MR方法在TL对甲状腺功能亢进症的影响方面表现出一致的趋势。反向MR分析表明TL与甲状腺功能亢进症之间无因果关联(P > 0.05)。敏感性分析证实了这些结果的稳健性,表明对混杂因素和偏差的敏感性最小。
端粒较长可降低甲状腺功能亢进症风险这一发现凸显了验证甲状腺功能亢进症对端粒长度影响的必要性,为预防和治疗提供了有价值的见解。