Causal Association of Chronic Venous Insufficiency and Cardiovascular Diseases: A Univariable and Multivariable Mendelian Randomization Study.

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-10-08 eCollection Date: 2024-10-01 DOI:10.31083/j.rcm2510357

Xiaobo Guo, Kui Zhang, Yiping Sun, Ran Dong

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Abstract

Background: The causal relationship between chronic venous insufficiency (CVI) and cardiovascular diseases (CVDs) has yet to be elucidated. Herein, we implement Mendelian randomization (MR) analysis to investigate the causal association.

Methods: A two-sample MR approach using genetic data from FinnGen and genome-wide association studies (GWAS) Catalog was applied to investigate the causal relationship between CVI and CVDs. This study assessed 77 single nucleotide polymorphisms (SNPs) as instrumental variables, employing random-effect inverse-variance-weighted MR, weighted median, Egger regression, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), and Robust Adjusted Profile Score (RAPS) methods. Multivariable MR (MVMR) considered confounding factors.

Results: Genetically predicted CVI was associated with reduced heart failure risk (odds ratio (OR) = 0.96, 95% confidence interval (95% CI): 0.93-0.99, p = 0.025) and increased atrial fibrillation risk (OR = 1.06, 95% CI: 1.03-1.09, p = 0.0002). MVMR, adjusting for venous thromboembolism (VTE), lower limb ulceration, obesity, smoking, and alcohol, attenuated these associations. No significant links were found with hypertension, aortic aneurysm, coronary artery disease, myocardial infarction, valvular heart disease, or stroke.

Conclusions: This MR study supports an association between CVI and CVDs, which may imply CVI should be monitored during the treatment of heart failure and atrial fibrillation.

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慢性静脉功能不全与心血管疾病的因果关系：单变量和多变量孟德尔随机研究

背景：慢性静脉功能不全（CVI）与心血管疾病（CVDs）之间的因果关系尚未阐明。在此，我们采用孟德尔随机分析法（MR）来研究二者的因果关系：方法：使用来自 FinnGen 和全基因组关联研究 (GWAS) 目录的遗传数据，采用双样本 MR 方法研究 CVI 与心血管疾病之间的因果关系。该研究评估了 77 个单核苷酸多态性 (SNP) 作为工具变量，采用了随机效应逆方差加权 MR、加权中位数、Egger 回归、孟德尔随机多态性 RESidual Sum and Outlier (MR-PRESSO) 和稳健调整特征得分 (RAPS) 方法。多变量 MR（MVMR）考虑了混杂因素：结果：基因预测的 CVI 与心力衰竭风险降低（比值比 (OR) = 0.96，95% 置信区间 (95%CI)：0.93-0.99，p = 0.025）和心房颤动风险增加（OR = 1.06，95% CI：1.03-1.09，p = 0.0002）相关。在对静脉血栓栓塞（VTE）、下肢溃疡、肥胖、吸烟和酗酒进行调整后，MVMR 减弱了这些关联。与高血压、主动脉瘤、冠状动脉疾病、心肌梗塞、瓣膜性心脏病或中风没有发现明显联系：这项磁共振研究证实了 CVI 与心血管疾病之间的关联，这可能意味着在治疗心力衰竭和心房颤动期间应监测 CVI。

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

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.

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