Comprehensive mendelian randomization analysis of plasma proteomics to identify new therapeutic targets for the treatment of coronary heart disease and myocardial infarction

被引:6
|
作者
Sun, Ziyi [1 ,2 ]
Yun, Zhangjun [2 ,3 ]
Lin, Jianguo [1 ,4 ]
Sun, Xiaoning [1 ,4 ]
Wang, Qingqing [1 ]
Duan, Jinlong [5 ]
Li, Cheng [6 ]
Zhang, Xiaoxiao [1 ,4 ]
Xu, Siyu [1 ,2 ]
Wang, Zeqi [7 ]
Xiong, Xingjiang [1 ]
Yao, Kuiwu [1 ,6 ]
机构
[1] China Acad Chinese Med Sci, Guanganmen Hosp, Dept Cardiovasc, Beijing 10053, Peoples R China
[2] Beijing Univ Chinese Med, Grad Sch, Beijing 10029, Peoples R China
[3] Beijing Univ Chinese Med, Dongzhimen Hosp, Dept Oncol & Hematol, Beijing 10070, Peoples R China
[4] China Acad Chinese Med Sci, Grad Sch, Beijing 10070, Peoples R China
[5] China Acad Chinese Med Sci, Guanganmen Hosp, Dept Androl, Beijing 10053, Peoples R China
[6] China Acad Chinese Med Sci, Eye Hosp, Beijing 10040, Peoples R China
[7] Beijing Univ Chinese Med, Sch Tradit Chinese Med, Beijing 10070, Peoples R China
基金
北京市自然科学基金;
关键词
Coronary heart disease; Myocardial infarction; Protein; Proteome-wide mendelian randomization; Biomarker; Drug target; PLACENTA GROWTH-FACTOR; GENE-TRANSFER; PCSK9; EXPRESSION; METAANALYSIS; FPS/FES;
D O I
10.1186/s12967-024-05178-8
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundIschemic heart disease is one of the leading causes of mortality worldwide, and thus calls for development of more effective therapeutic strategies. This study aimed to identify potential therapeutic targets for coronary heart disease (CHD) and myocardial infarction (MI) by investigating the causal relationship between plasma proteins and these conditions.MethodsA two-sample Mendelian randomization (MR) study was performed to evaluate more than 1600 plasma proteins for their causal associations with CHD and MI. The MR findings were further confirmed through Bayesian colocalization, Summary-data-based Mendelian Randomization (SMR), and Transcriptome-Wide Association Studies (TWAS) analyses. Further analyses, including enrichment analysis, single-cell analysis, MR analysis of cardiovascular risk factors, phenome-wide Mendelian Randomization (Phe-MR), and protein-protein interaction (PPI) network construction were conducted to verify the roles of selected causal proteins.ResultsThirteen proteins were causally associated with CHD, seven of which were also causal for MI. Among them, FES and PCSK9 were causal proteins for both diseases as determined by several analytical methods. PCSK9 was a risk factor of CHD (OR = 1.25, 95% CI: 1.13-1.38, P = 7.47E-06) and MI (OR = 1.36, 95% CI: 1.21-1.54, P = 2.30E-07), whereas FES was protective against CHD (OR = 0.68, 95% CI: 0.59-0.79, P = 6.40E-07) and MI (OR = 0.65, 95% CI: 0.54-0.77, P = 5.38E-07). Further validation through enrichment and single-cell analysis confirmed the causal effects of these proteins. Moreover, MR analysis of cardiovascular risk factors, Phe-MR, and PPI network provided insights into the potential drug development based on the proteins.ConclusionsThis study investigated the causal pathways associated with CHD and MI, highlighting the protective and risk roles of FES and PCSK9, respectively. FES. Specifically, the results showed that these proteins are promising therapeutic targets for future drug development.
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页数:17
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