Investigating the correlation of hip circumference to cardiovascular disease and type-2 diabetes using Mendelian randomization.

IF 3.2 3区 医学
Hongtao Liu, Zhaoyu Li, Su Yan, Shaopeng Ming
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Abstract

Objective: This study aimed to assess the correlation between hip circumference (HC) and the risk of cardiovascular disease (CVD) and type 2 diabetes mellitus using Mendelian randomization (MR) to overcome observational study limitations.

Design: MR analysis utilized genetic variation from the MR Base in a two-sample analysis. Three methods were employed: MR-Egger regression, weighted median estimator, and inverse variance weighting (IVW).

Setting: Data was acquired from MR Base, a platform summarizing genome-wide association study (GWAS) data for MR research.

Main outcome measures: Publicly available summary statistics datasets from GWAS meta-analyses were used, with HC and HC adjusted for body mass index (BMI) as exposures. Data for CVD and type 2 diabetes mellitus were obtained as outcomes.

Results: Results indicated a positive causal relationship between HC and CVD (IVW: P = 1.84e-07, OR: 1.37, 95% CI: 1.22-1.54) as well as type 2 diabetes mellitus (IVW: P = 0.04, OR: 1.62, 95% CI: 1.02-2.56), independent of BMI. However, HC after BMI adjustment showed no significant causal relationship with CVD (IVW: P = 0.05, OR: 1.09, 95% CI: 1.00-1.19) and exhibited a negative association with type 2 diabetes mellitus (IVW: P = 0.00, OR: 0.76, 95% CI: 0.66-0.88), suggesting a protective effect against type 2 diabetes mellitus.

Conclusions: After adjusting for BMI, adipose tissue concentrated in the hip region showed a protective effect against type 2 diabetes mellitus but not against CVD. These findings offer insights into diabetes prevention and treatment strategies, and may inform plastic surgery procedures. Further research is needed to validate these findings and explore underlying mechanisms.

利用孟德尔随机法研究臀围与心血管疾病和 2 型糖尿病的相关性。
研究目的本研究旨在利用孟德尔随机法(MR)评估臀围(HC)与心血管疾病(CVD)和 2 型糖尿病风险之间的相关性,以克服观察性研究的局限性:设计:MR 分析在双样本分析中利用了 MR 基地的遗传变异。采用了三种方法:MR-Egger回归法、加权中位数估计法和逆方差加权法(IVW):数据来自 MR Base,这是一个用于 MR 研究的全基因组关联研究(GWAS)数据汇总平台:使用GWAS荟萃分析的公开统计汇总数据集,以HC和HC调整体重指数(BMI)作为暴露。以心血管疾病和 2 型糖尿病的数据作为结果:结果表明,HC 与心血管疾病(IVW:P = 1.84e-07,OR:1.37,95% CI:1.22-1.54)和 2 型糖尿病(IVW:P = 0.04,OR:1.62,95% CI:1.02-2.56)之间存在正向因果关系,与体重指数无关。然而,调整体重指数后,HC 与心血管疾病无明显因果关系(IVW:P = 0.05,OR:1.09,95% CI:1.00-1.19),与 2 型糖尿病呈负相关(IVW:P = 0.00,OR:0.76,95% CI:0.66-0.88),表明对 2 型糖尿病有保护作用:结论:调整体重指数后,集中在臀部的脂肪组织对 2 型糖尿病有保护作用,但对心血管疾病没有保护作用。这些发现为糖尿病的预防和治疗策略提供了启示,并可为整形手术提供参考。还需要进一步的研究来验证这些发现并探索其背后的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Diabetes Investigation
Journal of Diabetes Investigation Medicine-Internal Medicine
自引率
9.40%
发文量
218
期刊介绍: Journal of Diabetes Investigation is your core diabetes journal from Asia; the official journal of the Asian Association for the Study of Diabetes (AASD). The journal publishes original research, country reports, commentaries, reviews, mini-reviews, case reports, letters, as well as editorials and news. Embracing clinical and experimental research in diabetes and related areas, the Journal of Diabetes Investigation includes aspects of prevention, treatment, as well as molecular aspects and pathophysiology. Translational research focused on the exchange of ideas between clinicians and researchers is also welcome. Journal of Diabetes Investigation is indexed by Science Citation Index Expanded (SCIE).
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