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全蛋白质组孟德尔随机化确定心血管疾病的候选因果蛋白

Proteome-Wide Mendelian Randomization Identifies Candidate Causal Proteins for Cardiovascular Diseases.

作者信息

Li Chen, De Jay Nicolas, Zhang Shan-Shan, Fang Xin, Sharma Supriya, Catalano Katrina A, Sridharan Venkatesh, Wang Zhaoqing, Zhao Lei, Szustakowski Joseph D, Chang Ching-Pin, Maranville Joseph C, Holzinger Emily R, Kvikstad Erika M

机构信息

Informatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.

Immunology and Cardiovascular Thematic Research Center Bristol-Myers Squibb Cambridge Brisbane 94005 USA.

出版信息

Adv Genet (Hoboken). 2025 Mar 10;6(2):2500003. doi: 10.1002/ggn2.202500003. eCollection 2025 Jun.

Abstract

Integration of human genomics and other omics across different ancestries provides novel, affordable, and systematic approach for target identification. We used Mendelian randomization approaches to unravel causal associations between 2,940 circulating proteins and 19 CVD. We found 218 proteins that impacted risk of one or more CVDs through forward MR (106 and 182 using cis-pQTLs only and cis- + trans-pQTLs, respectively), among which 107 were previously reported as associated with CVD or CVD-related traits. There were 102 proteins replicated (FDR < 5%, 53 with cis-pQTLs only and 88 with cis- + trans-pQTLs) using the FinnGen Olink data. BTN3A2 was highlighted as a novel candidate gene for ischemic stroke, suggesting a crosstalk between immune modulation and stroke pathogenesis. Single cell integration prioritized PAM for stable angina pectoris and ventricular arrhythmia and LPL for peripheral artery disease, whose transcriptional expressions were enriched in cardiomyocytes. Forward and reverse MR found largely non-overlapping proteins (only 2 overlapped: LGALS4 and MMP12), suggesting distinct proteomic causes and consequences of CVD. Our study provides human genetics-based evidence of novel candidate genes, a foundational step towards full-scale causal human biology-based drug discovery for CVD.

摘要

整合不同祖先群体的人类基因组学和其他组学,为靶点识别提供了新颖、经济且系统的方法。我们采用孟德尔随机化方法来揭示2940种循环蛋白与19种心血管疾病(CVD)之间的因果关联。我们发现218种蛋白通过正向孟德尔随机化影响一种或多种CVD的风险(仅使用顺式表达数量性状基因座(cis-pQTLs)和同时使用顺式 + 反式表达数量性状基因座(cis- + trans-pQTLs)时分别为106种和182种),其中107种先前已报道与CVD或CVD相关性状有关。使用芬兰基因(FinnGen)Olink数据进行复制分析,发现有102种蛋白(错误发现率 < 5%,仅使用顺式pQTLs时为53种,同时使用顺式 + 反式pQTLs时为88种)。BTN3A2被突出显示为缺血性中风的一个新候选基因,提示免疫调节与中风发病机制之间存在相互作用。单细胞整合分析确定了血小板活化因子乙酰水解酶(PAM)与稳定型心绞痛和室性心律失常相关,脂蛋白脂肪酶(LPL)与外周动脉疾病相关,其转录表达在心肌细胞中富集。正向和反向孟德尔随机化发现的蛋白大多不重叠(仅2种重叠:半乳糖凝集素4(LGALS4)和基质金属蛋白酶12(MMP12)),表明CVD存在不同的蛋白质组学病因和后果。我们的研究为新候选基因提供了基于人类遗传学的证据,这是迈向基于全面因果人类生物学的CVD药物发现的基础步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f79/12245532/8272ac370152/GGN2-6-2500003-g005.jpg

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