A combined observational and Mendelian randomization investigation reveals NMR-measured analytes to be risk factors of major cardiovascular diseases

孟德尔随机化 观察研究 随机化 医学 内科学 随机对照试验 生物信息学 计算生物学 生物 遗传学 基因 遗传变异 基因型
作者
Rui Zheng,Cecilia M. Lindgren
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:14 (1)
标识
DOI:10.1038/s41598-024-61440-5
摘要

Dyslipidaemias is the leading risk factor of several major cardiovascular diseases (CVDs), but there is still a lack of sufficient evidence supporting a causal role of lipoprotein subspecies in CVDs. In this study, we comprehensively investigated several lipoproteins and their subspecies, as well as other metabolites, in relation to coronary heart disease (CHD), heart failure (HF) and ischemic stroke (IS) longitudinally and by Mendelian randomization (MR) leveraging NMR-measured metabolomic data from 118,012 UK Biobank participants. We found that 123, 110 and 36 analytes were longitudinally associated with myocardial infarction, HF and IS (FDR < 0.05), respectively, and 25 of those were associated with all three outcomes. MR analysis suggested that genetically predicted levels of 70, 58 and 7 analytes were associated with CHD, HF and IS (FDR < 0.05), respectively. Two analytes, ApoB/ApoA1 and M-HDL-C were associated with all three CVD outcomes in the MR analyses, and the results for M-HDL-C were concordant in both observational and MR analyses. Our results implied that the apoB/apoA1 ratio and cholesterol in medium size HDL were particularly of importance to understand the shared pathophysiology of CHD, HF and IS and thus should be further investigated for the prevention of all three CVDs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
CipherSage应助武玉蕊采纳,获得10
刚刚
1秒前
LYF发布了新的文献求助10
2秒前
2秒前
xu完成签到,获得积分10
2秒前
楚楚发布了新的文献求助20
3秒前
3秒前
Gtpangda完成签到 ,获得积分10
3秒前
爱科研cg完成签到,获得积分10
4秒前
yjh123应助fryeia采纳,获得10
4秒前
花花完成签到,获得积分10
4秒前
steffans完成签到,获得积分10
4秒前
Forever发布了新的文献求助10
4秒前
Jasper应助老胡采纳,获得10
4秒前
4秒前
Rand完成签到,获得积分10
4秒前
cgjhgh完成签到,获得积分10
5秒前
Dr_Prince完成签到,获得积分10
5秒前
迷人小张发布了新的文献求助10
5秒前
传奇3应助hanying采纳,获得30
6秒前
6秒前
牧紫菱完成签到,获得积分10
7秒前
8秒前
8秒前
C_发布了新的文献求助10
9秒前
9秒前
852应助执着鞋子采纳,获得10
10秒前
11秒前
liu完成签到 ,获得积分10
12秒前
12秒前
九月完成签到,获得积分10
12秒前
13秒前
酷酷莛发布了新的文献求助10
13秒前
陈少康发布了新的文献求助10
15秒前
lsy完成签到,获得积分10
15秒前
lljttljt完成签到,获得积分10
15秒前
丘比特应助柚子采纳,获得10
15秒前
研友_VZG7GZ应助hai采纳,获得30
16秒前
科研人发布了新的文献求助10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Merrill's Atlas of Radiographic Positioning and Procedures - 3-Volume Set, 16th Edition 2000
Petrology and Plate Tectonics 800
Matrix Methods in Data Mining and Pattern Recognition 540
Trees of tropical Asia : an illustrated guide to diversity 500
Materials Informatics Molecules, Crystals and Beyond A volume in Acta Materialia Book Series 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7050460
求助须知:如何正确求助?哪些是违规求助? 8715349
关于积分的说明 18453143
捐赠科研通 6567704
什么是DOI,文献DOI怎么找? 3119851
关于科研通互助平台的介绍 2207857
邀请新用户注册赠送积分活动 2095459