Genetic causal association between lipidomic profiles, inflammatory proteomics, and aortic stenosis: a Mendelian randomization investigation

孟德尔随机化 多效性 脂质体 医学 全基因组关联研究 遗传关联 生物信息学 脂类学 内科学 生物 遗传学 遗传变异 单核苷酸多态性 基因 表型 基因型
作者
Linwen Zhu,Ni Li,Huoshun Shi,Guofeng Shao,Lebo Sun
出处
期刊:European Journal of Medical Research [Springer Nature]
卷期号:29 (1)
标识
DOI:10.1186/s40001-024-02014-z
摘要

Aortic stenosis (AS) is a prevalent and serious valvular heart disease with a complex etiology involving genetic predispositions, lipid dysregulation, and inflammation. The specific roles of lipid and protein biomarkers in AS development are not fully elucidated. This study aimed to elucidate the causal relationships between lipidome, inflammatory proteins, and AS using Mendelian randomization (MR), identifying potential therapeutic targets. Utilizing data from large-scale genome-wide association studies (GWAS) and genome-wide protein quantitative trait loci (pQTL) studies, we conducted MR analyses on 179 plasma lipidome and 91 inflammatory proteins to assess their causal associations with AS. Our approach included Inverse Variance Weighting (IVW), Wald ratio, and robust adjusted profile score (RAPS) analyses to refine these associations. MR-Egger regression was used to address directional horizontal pleiotropy. Our MR analysis showed that genetically predicted 50 lipids were associated with AS, including 38 as risk factors [(9 Sterol ester, 18 Phosphatidylcholine, 4 Phosphatidylethanolamine, 1 Phosphatidylinositol and 6 Triacylglycerol)] and 12 as protective. Sterol ester (27:1/17:1) emerged as the most significant risk factor with an odds ratio (OR) of 3.11. Additionally, two inflammatory proteins, fibroblast growth factor 19 (FGF19) (OR = 0.830, P = 0.015), and interleukin 6 (IL-6) (OR = 0.729, P = 1.79E-04) were significantly associated with reduced AS risk. However, a two-step MR analysis showed no significant mediated correlations between these proteins and the lipid–AS pathway. This study reveals complex lipid and protein interactions in AS, identifying potential molecular targets for therapy. These results go beyond traditional lipid profiling and significantly advance our genetic and molecular understanding of AS, highlighting potential pathways for intervention and prevention.
最长约 10秒,即可获得该文献文件

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
lx完成签到,获得积分20
1秒前
Ssyong完成签到 ,获得积分10
1秒前
1秒前
luohan完成签到,获得积分10
1秒前
诚心的大碗完成签到,获得积分10
1秒前
晾猫人完成签到,获得积分10
1秒前
1秒前
花开hhhhhhh完成签到,获得积分10
1秒前
欢欢完成签到,获得积分10
2秒前
Joshua发布了新的文献求助10
2秒前
可爱的函函应助Tira采纳,获得10
2秒前
lqq的一家之主完成签到,获得积分10
3秒前
陈陈完成签到 ,获得积分10
3秒前
么系么系完成签到,获得积分10
3秒前
4秒前
坤坤完成签到,获得积分10
4秒前
东风第一枝完成签到,获得积分20
4秒前
欢欢发布了新的文献求助10
4秒前
Jasper应助易安采纳,获得10
6秒前
6秒前
一一发布了新的文献求助10
6秒前
7秒前
Muller完成签到,获得积分10
7秒前
经法发布了新的文献求助10
8秒前
谦让的忘幽完成签到,获得积分20
8秒前
和谐小南完成签到,获得积分10
8秒前
小jiojio的猪完成签到,获得积分10
8秒前
小匹夫完成签到,获得积分10
9秒前
赤墨完成签到,获得积分10
9秒前
9秒前
10秒前
狮子沟核聚变骡子完成签到 ,获得积分10
10秒前
10秒前
传奇3应助乔治韦斯莱采纳,获得30
10秒前
10秒前
11秒前
于某人完成签到,获得积分10
11秒前
小陈要发SCI完成签到 ,获得积分10
11秒前
cdercder应助尹天扬采纳,获得20
11秒前
称心铭完成签到 ,获得积分10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678