Genetically Predicted Frailty Index Is Associated With Increased Risk of Multiple Metabolic Diseases: 175 226 European Participants in a Mendelian Randomization Study

IF 3 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Hexing Wang, Haifeng Zhang, Dongliang Tang, Yinshuang Yao, Junlan Qiu, Xiaochen Shu
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引用次数: 0

Abstract

Background

A relationship between frailty index (FI) and metabolic diseases (MDs) has been reported in previous observational studies. However, the causality between them remains unclear. This study aimed to examine the causal effect of FI on MDs.

Methods

We performed a bidirectional two-sample Mendelian randomization (MR) study. A recent large-scale genome-wide association study (GWAS) provided available data associated with FI, and summary statistics on eight MDs were collected from the IEU OpenGWAS database. Inverse variance weighted (IVW) was used as the main analysis to estimate causal effects, together with MR pleiotropy residual sum and outlier (MR-PRESSO), MR-Egger, Cochran's Q test, pleiotropy test, leave-one-out method, and MR Steiger analysis were used in the sensitivity analyses.

Results

Our MR study demonstrated for the first time that elevated FI was causally associated with an increased risk of MDs including obesity (odds ratio [OR] = 1.78; 95% confidence interval [CI]: 1.17–2.70; p = 0.0075), T2DM (OR = 1.67; 95% CI: 1.24–2.24; p = 6.95 × 10−4), gout (OR = 2.45; 95% CI: 1.29–4.64; p = 0.006), hypothyroidism (OR = 1.96; 95% CI: 1.47–2.60; p = 3.47 × 10−6), and HTN (OR = 2.17; 95% CI: 1.72–2.74; p = 5.25 × 10−11). However, no causal association was found between FI and osteoporosis, vitamin D deficiency, and hyperthyroidism.

Conclusions

Our findings support a causal relationship between FI and multiple MDs. This is crucial for the prevention of associated MDs in patients with frailty.

Abstract Image

遗传预测的脆弱指数与多种代谢疾病风险增加相关:孟德尔随机研究中的175226名欧洲参与者
背景在以往的观察性研究中已经报道了衰弱指数(FI)与代谢性疾病(MDs)之间的关系。然而,它们之间的因果关系尚不清楚。本研究旨在探讨FI对MDs的因果关系。方法采用双向双样本孟德尔随机化(MR)研究。最近的一项大规模全基因组关联研究(GWAS)提供了与FI相关的可用数据,并从IEU OpenGWAS数据库中收集了8个MDs的汇总统计数据。因果效应的主要分析方法为逆方差加权法(IVW),敏感性分析采用MR多效性残差和和异常值法(MR- presso),敏感性分析采用MR- egger、Cochran’s Q检验、多效性检验、留一法和MR Steiger分析法。我们的MR研究首次证明FI升高与包括肥胖在内的MDs风险增加有因果关系(优势比[OR] = 1.78;95%置信区间[CI]: 1.17-2.70;p = 0.0075), T2DM (OR = 1.67;95% ci: 1.24-2.24;p = 6.95 × 10−4),痛风(OR = 2.45;95% ci: 1.29-4.64;p = 0.006),甲状腺功能减退(OR = 1.96;95% ci: 1.47-2.60;p = 3.47 × 10−6),HTN (OR = 2.17;95% ci: 1.72-2.74;p = 5.25 × 10−11)。然而,FI与骨质疏松症、维生素D缺乏和甲状腺功能亢进之间没有因果关系。结论:我们的研究结果支持FI与多发性MDs之间的因果关系。这对于预防虚弱患者的相关MDs至关重要。
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来源期刊
Journal of Diabetes
Journal of Diabetes ENDOCRINOLOGY & METABOLISM-
CiteScore
6.50
自引率
2.20%
发文量
94
审稿时长
>12 weeks
期刊介绍: Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation. The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.
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