The Role of Iron and Other Micronutrients in Arterial Stiffness: Univariable and Multivariable Mendelian Randomization.

IF 1.9 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Reviews in cardiovascular medicine Pub Date : 2025-05-20 eCollection Date: 2025-05-01 DOI:10.31083/RCM27920
Weishen Qiao, Qi Liu, Hongyu Ding, Gang Wang, Yufei Sun, Zhibo Yao, Xingtao Huang, Xuedong Wang, Chao Fu, Jingbo Hou
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引用次数: 0

Abstract

Background: Prior research on the relationship between iron status and arterial stiffness is limited, with causality still unclear. However, understanding these connections is crucial for improving the prevention and management of arterial stiffness. Therefore, this study aimed to examine the impact of iron status and other micronutrients on arterial stiffness risk using Mendelian randomization (MR) approaches.

Methods: MR was performed utilizing genome-wide association studies (GWAS) data from European populations to investigate the causal link between various nutrients (iron, etc.) and arterial stiffness index. We selected the random-effects inverse-variance weighting (IVW) approach for the primary analysis and conducted numerous sensitivity tests to ensure accuracy.

Results: This study found a causal effect of genetically predicted high levels of serum iron (β = 0.069, 95% confidence interval (CI) [0.031 to 0.107], p FDR = 1.87 × 10-3) [false discovery rate, FDR], ferritin (β = 0.143, 95% CI [0.050 to 0.235], p FDR = 8.28 × 10-3), and transferrin saturation (β = 0.053, 95% CI [0.025 to 0.080], p FDR = 1.29 × 10-3) on arterial stiffness index. There was no evidence of reverse causality. Associations derived from multivariate MR analyses remained significant after adjusting for potential confounders. Zinc and carotene levels may be inversely linked with arterial stiffness.

Conclusions: This study provides a genetic basis for the causal relationship between elevated iron status and increased arterial stiffness, suggesting the important role of micronutrients in the disease process.

铁和其他微量营养素在动脉硬化中的作用:单变量和多变量孟德尔随机化。
背景:先前关于铁状态与动脉硬化关系的研究有限,因果关系尚不清楚。然而,了解这些联系对于改善动脉硬化的预防和管理至关重要。因此,本研究旨在使用孟德尔随机化(MR)方法研究铁状态和其他微量营养素对动脉硬化风险的影响。方法:利用来自欧洲人群的全基因组关联研究(GWAS)数据进行MR,以调查各种营养素(铁等)与动脉僵硬指数之间的因果关系。我们选择随机效应反方差加权(IVW)方法进行初步分析,并进行了大量敏感性测试以确保准确性。结果:本研究发现基因预测高水平血清铁(β = 0.069, 95%可信区间(CI) [0.031 ~ 0.107], p FDR = 1.87 × 10-3)[错误发现率,FDR]、铁蛋白(β = 0.143, 95% CI [0.050 ~ 0.235], p FDR = 8.28 × 10-3)和转铁蛋白饱和度(β = 0.053, 95% CI [0.025 ~ 0.080], p FDR = 1.29 × 10-3)对动脉僵硬指数有因果关系。没有证据表明存在反向因果关系。在调整了潜在的混杂因素后,多变量磁共振分析得出的关联仍然显著。锌和胡萝卜素水平可能与动脉僵硬度呈负相关。结论:本研究为铁水平升高与动脉硬化增加之间的因果关系提供了遗传基础,提示微量营养素在疾病过程中的重要作用。
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
Reviews in cardiovascular medicine
Reviews in cardiovascular medicine 医学-心血管系统
CiteScore
2.70
自引率
3.70%
发文量
377
审稿时长
1 months
期刊介绍: RCM is an international, peer-reviewed, open access journal. RCM publishes research articles, review papers and short communications on cardiovascular medicine as well as research on cardiovascular disease. We aim to provide a forum for publishing papers which explore the pathogenesis and promote the progression of cardiac and vascular diseases. We also seek to establish an interdisciplinary platform, focusing on translational issues, to facilitate the advancement of research, clinical treatment and diagnostic procedures. Heart surgery, cardiovascular imaging, risk factors and various clinical cardiac & vascular research will be considered.
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