Suppr超能文献

采用孟德尔随机化方法鉴定遗传肥胖暴露对白细胞端粒长度的影响。

Identifying effects of genetic obesity exposure on leukocyte telomere length using Mendelian randomization.

机构信息

Department of Urology, Haikou Affiliated Hospital of Central South University, Xiangya School of Medicine, Haikou, Hainan, China.

Reproductive Medical Center, Hainan Women and Children's Medical Center, Haikou, Hainan, China.

出版信息

PeerJ. 2023 Mar 21;11:e15085. doi: 10.7717/peerj.15085. eCollection 2023.

Abstract

BACKGROUND

Observational studies have shown that obesity is closely associated with leukocyte telomere length (LTL). However, the causal relationship between obesity and LTL remains unclear. This study investigated the causal relationship between obesity and LTL through the Mendelian randomization approach.

MATERIALS AND METHODS

The genome-wide association study (GWAS) summary data of several studies on obesity-related traits with a sample size of more than 600,000 individuals were extracted from the UK Biobank cohort. The summary-level data of LTL-related GWAS (45 6,717 individuals) was obtained from the IEU Open GWAS database. An inverse-variance-weighted (IVW) algorithm was utilized as the primary MR analysis method. Sensitivity analyses were conducted MR-Egger regression, IVW regression, leave-one-out test, MR-pleiotropy residual sum, and outlier methods.

RESULTS

High body mass index was correlated with a short LTL, and the odds ratio (OR) was 0.957 (95% confidence interval [CI] 0.942-0.973, = 1.17E-07). The six body fat indexes (whole body fat mass, right leg fat mass, left leg fat mass, right arm fat mass, left arm fat mass, and trunk fat mass) were consistently inversely associated with LTL. Multiple statistical sensitive analysis approaches showed that the adverse effect of obesity on LTL was steady and dependable.

CONCLUSION

The current study provided robust evidence supporting the causal assumption that genetically caused obesity is negatively associated with LTL. The findings may facilitate the formulation of persistent strategies for maintaining LTL.

摘要

背景

观察性研究表明,肥胖与白细胞端粒长度(LTL)密切相关。然而,肥胖与 LTL 之间的因果关系尚不清楚。本研究通过孟德尔随机化方法研究肥胖与 LTL 之间的因果关系。

材料和方法

从英国生物库队列中提取了几项与肥胖相关特征的全基因组关联研究(GWAS)汇总数据,样本量超过 60 万。从 IEU 开放 GWAS 数据库中获得了与 LTL 相关的 GWAS 汇总数据(456717 人)。作为主要的 MR 分析方法,采用逆方差加权(IVW)算法。进行了敏感性分析,包括 MR-Egger 回归、IVW 回归、逐一剔除检验、MR 多效性残差和异常值方法。

结果

高体重指数与短端粒长度相关,优势比(OR)为 0.957(95%置信区间 0.942-0.973, = 1.17E-07)。六种体脂肪指数(全身脂肪量、右腿脂肪量、左腿脂肪量、右臂脂肪量、左臂脂肪量和躯干脂肪量)与 LTL 呈负相关。多种统计敏感分析方法表明,肥胖对 LTL 的不良影响是稳定和可靠的。

结论

本研究提供了强有力的证据支持遗传引起的肥胖与 LTL 呈负相关的因果假设。这些发现可能有助于制定维持 LTL 的持久策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d833/10038084/091421f31489/peerj-11-15085-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验