Novel Drug Targets for Atrial Fibrillation Identified Through Mendelian Randomization Analysis of the Blood Proteome

医学 孟德尔随机化 蛋白质组 计算生物学 药品 生物信息学 药物重新定位 药理学 遗传学 基因 生物 遗传变异 基因型
作者
Zuodong Ning,Yunying Huang,Haocheng Lu,Yong Zhou,Tao Tu,Feifan Ouyang,Yaozhong Liu,Qiming Liu
出处
期刊:Cardiovascular Drugs and Therapy [Springer Science+Business Media]
卷期号:38 (6): 1215-1222 被引量:34
标识
DOI:10.1007/s10557-023-07467-8
摘要

Novel, effective, and safe preventive therapy targets for AF are still needed. Circulating proteins with causal genetic evidence are promising candidates. We aimed to systematically screen circulating proteins for AF drug targets and determine their safety and efficacy using genetic methods.The protein quantitative trait loci (pQTL) of up to 1949 circulating proteins were retrieved from nine large genome-proteome-wide association studies. Two-sample Mendelian Randomization (MR) and colocalization analyses were used to estimate the causal effects of proteins on the risk of AF. Furthermore, phenome-wide MR was conducted to depict side effects and the drug-target databases were searched for drug validation and repurposing.Systematic MR screen identified 30 proteins as promising AF drug targets. Genetically predicted 12 proteins increased AF risk (TES, CFL2, MTHFD1, RAB1A, DUSP13, SRL, ANXA4, NEO1, FKBP7, SPON1, LPA, MANBA); 18 proteins decreased AF risk (PMVK, UBE2F, SYT11, CHMP3, PFKM, FBP1, TNFSF12, CTSZ, QSOX2, ALAD, EFEMP1, FLRT2, LRIG1, OLA1, SH3BGRL3, IL6R, B3GNT8, FCGR2A). DUSP13 and TNFSF12 possess strong colocalization evidence. For the proteins that were identified, extended phe-MR analysis was conducted to assess their side-effect profiles, while drug-target databases provided information on their approved or investigated indications.We identified 30 circulating proteins as potential preventive targets for AF.
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
HY应助sirwang采纳,获得10
2秒前
希望天下0贩的0应助fffff采纳,获得10
3秒前
彭于晏应助Verity采纳,获得10
3秒前
3秒前
bkwal3617发布了新的文献求助10
3秒前
科研通AI6.2应助智慧金刚采纳,获得10
3秒前
ding应助花花采纳,获得10
4秒前
小王同学完成签到,获得积分10
4秒前
5秒前
5秒前
7秒前
Jasper应助soleil采纳,获得10
8秒前
9秒前
9秒前
无问西东完成签到,获得积分10
9秒前
胡涂涂发布了新的文献求助10
9秒前
咚咚锵完成签到,获得积分10
9秒前
qian发布了新的文献求助10
9秒前
伤脑筋发布了新的文献求助10
10秒前
mxf完成签到,获得积分10
10秒前
12秒前
NexusExplorer应助雾月采纳,获得10
12秒前
13秒前
咚咚锵发布了新的文献求助10
13秒前
香蕉觅云应助单身的盼雁采纳,获得10
13秒前
喜悦忆梅完成签到,获得积分10
13秒前
123完成签到,获得积分10
14秒前
没烦恼发布了新的文献求助10
14秒前
执着雪巧完成签到,获得积分10
14秒前
15秒前
chaning完成签到,获得积分20
15秒前
DMF完成签到,获得积分10
15秒前
15秒前
菲子笑发布了新的文献求助10
15秒前
16秒前
无花果应助chengying624采纳,获得10
16秒前
17秒前
可爱的香菇完成签到 ,获得积分10
17秒前
123发布了新的文献求助10
18秒前
liyong发布了新的文献求助10
18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
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
How to Design, Write and Publish Qualitative Research for Insight and Impact 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6533699
求助须知:如何正确求助?哪些是违规求助? 8327041
关于积分的说明 17835820
捐赠科研通 5635164
什么是DOI,文献DOI怎么找? 2934023
邀请新用户注册赠送积分活动 1910314
关于科研通互助平台的介绍 1768986