Potential drug targets for myocardial infarction identified through Mendelian randomization analysis and Genetic colocalization

被引:4
|
作者
Wu, Jiayu [1 ]
Fan, Qiaoming [2 ]
He, Qi [3 ]
Zhong, Qian [4 ]
Zhu, Xianqiong [5 ]
Cai, Huilian [2 ]
He, Xiaolin [2 ]
Xu, Ying [6 ]
Huang, Yuxuan [7 ]
Di, Xingwei [4 ,8 ]
机构
[1] Guangzhou Univ Chinese Med, Sch Clin Med 1, Guangzhou, Peoples R China
[2] Guangzhou Univ Chinese Med, Clifford Hosp, Guangzhou, Peoples R China
[3] Guangzhou Univ Chinese Med, Clin Coll 8, Guangzhou 510405, Peoples R China
[4] Jinzhou Med Univ, Affiliated Hosp 1, Jinzhou, Peoples R China
[5] Guangzhou Univ Chinese Med, Shenzhen Clin Coll, Guangzhou, Peoples R China
[6] Guangzhou Univ Chinese Med, Clin Med Coll 4, Guangzhou, Peoples R China
[7] Guangdong Pharmaceut Univ, Sch Tradit Chinese Med, Guangzhou, Peoples R China
[8] Jinzhou Med Univ, Affiliated Hosp 1, Jinzhou 121012, Peoples R China
关键词
Drug target; genetic colocalization; Mendelian randomization; myocardial infarction; LDL CHOLESTEROL; PPAR-ALPHA; RISK; RECEPTOR; METABOLITES;
D O I
10.1097/MD.0000000000036284
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Myocardial infarction (MI) is a major cause of death and disability worldwide, but current treatments are limited by their invasiveness, side effects, and lack of efficacy. Novel drug targets for MI prevention are urgently needed. In this study, we used Mendelian randomization to identify potential therapeutic targets for MI using plasma protein quantitative trait loci as exposure variables and MI as the outcome variable. We further validated our findings using reverse causation analysis, Bayesian co-localization analysis, and external datasets. We also constructed a protein-protein interaction network to explore the relationships between the identified proteins and known MI targets. Our analysis revealed 2 proteins, LPA and APOA5, as potential drug targets for MI, with causal effects on MI risk confirmed by multiple lines of evidence. LPA and APOA5 are involved in lipid metabolism and interact with target proteins of current MI medications. We also found 4 other proteins, IL1RN, FN1, NT5C, and SEMA3C, that may have potential as drug targets but require further confirmation. Our study demonstrates the utility of Mendelian randomization and protein quantitative trait loci in discovering novel drug targets for complex diseases such as MI. It provides insights into the underlying mechanisms of MI pathology and treatment.
引用
收藏
页数:7
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