胎盘重量对动脉粥样硬化性心血管疾病的因果影响:孟德尔随机化和中介分析

IF 3.3 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Archives of Medical Science Pub Date : 2024-10-26 eCollection Date: 2025-01-01 DOI:10.5114/aoms/194244
Dongyue Chen, Jiaxuan Sun, Shilin Fan, Chong Hou, Ke Yang, Min Peng, Songtao Shou, Quanyan Liu
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引用次数: 0

摘要

先前的研究已经将胎盘重量(PW)与心血管疾病联系起来,但这种关系的因果关系和潜在的介质仍然未知。材料和方法:我们通过全基因组关联研究(GWAS)的汇总统计数据进行孟德尔随机化(MR)分析,包括经性别调整的PW、21种候选介质和动脉粥样硬化性心血管疾病(ASCVD),其中包括冠心病(CHD)和缺血性中风(IS)。采用两步磁共振识别和评估PW和ASCVD之间关联的中介和潜在中介的比例。此外,我们对经胎龄和性别调整的PW进行了重复分析。结果:单变量磁共振(UVMR)分析显示,胎儿基因型决定的PW每降低1 sd,仅调整性别,冠心病的风险增加24% (95% CI: 1.05-1.46),大动脉卒中(LAS)的风险增加46% (95% CI: 1.13-1.89)。在重复分析中也得到了类似的结果。中介MR分析显示,胎儿基因型决定的PW与CHD风险之间的因果关系主要由出生体重、2型糖尿病和教育介导,各占总效应的3.66% ~ 40.80%。胎儿基因型PW与LAS风险之间的因果关系主要由2型糖尿病介导,占总效应的22.11%。结论:本研究确定了低PW与高ASCVD风险之间的单向因果关系,出生体重、2型糖尿病和教育等因素介导了PW与ASCVD之间的关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The causal effects of placental weight on atherosclerotic cardiovascular disease: a Mendelian randomization and mediation analysis.

The causal effects of placental weight on atherosclerotic cardiovascular disease: a Mendelian randomization and mediation analysis.

The causal effects of placental weight on atherosclerotic cardiovascular disease: a Mendelian randomization and mediation analysis.

The causal effects of placental weight on atherosclerotic cardiovascular disease: a Mendelian randomization and mediation analysis.

Introduction: Previous studies have linked placental weight (PW) to cardiovascular diseases, but the causality and potential mediators underlying this relationship are still unknown.

Material and methods: We conducted Mendelian randomization (MR) analysis via summary statistics from genome-wide association studies (GWAS), including PW adjusted for sex, 21 candidate mediators and atherosclerotic cardiovascular disease (ASCVD), which includes coronary heart disease (CHD) and ischemic stroke (IS). Two-step MR was employed to identify and assess the mediation and proportion of potential mediators in the association between PW and ASCVD. Additionally, we conducted a repeated analysis using PW adjusted for gestational age and sex.

Results: Univariable MR (UVMR) analysis revealed that for each 1-SD decrease in fetal genotype-determined PW adjusted for sex only, the risk of CHD increased by 24% (95% CI: 1.05-1.46) and the risk of large artery stroke (LAS) increased by 46% (95% CI: 1.13-1.89). Similar results were obtained in repeated analyses. The mediation MR analysis revealed that the causal relationship between fetal genotype-determined PW and CHD risk was primarily mediated by birthweight, type 2 diabetes, and education, each mediating 3.66% to 40.80% of the total effect. The causal relationship between fetal genotype-determined PW and LAS risk was mediated mainly by type 2 diabetes, which accounted for 22.11% of the total effect.

Conclusions: This study identified a unidirectional causal relationship between lower PW and a greater ASCVD risk, with factors such as birthweight, type 2 diabetes, and education mediating the association between PW and ASCVD.

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来源期刊
Archives of Medical Science
Archives of Medical Science 医学-医学:内科
CiteScore
4.90
自引率
7.90%
发文量
139
审稿时长
1.7 months
期刊介绍: Archives of Medical Science (AMS) publishes high quality original articles and reviews of recognized scientists that deal with all scientific medicine. AMS opens the possibilities for young, capable scientists. The journal would like to give them a chance to have a publication following matter-of-fact, professional review by outstanding, famous medical scientists. Thanks to that they will have an opportunity to present their study results and/or receive useful advice about the mistakes they have made so far. The second equally important aim is a presentation of review manuscripts of recognized scientists about the educational capacity, in order that young scientists, often at the beginning of their scientific carrier, could constantly deepen their medical knowledge and be up-to-date with current guidelines and trends in world-wide medicine. The fact that our educational articles are written by world-famous scientists determines their innovation and the highest quality.
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