孟德尔随机化
心力衰竭
蛋白质组
蛋白质组学
基质细胞蛋白
表型
生物
计算生物学
生物信息学
医学
基因
遗传学
内科学
遗传变异
基因型
细胞外基质
作者
Amil M. Shah,Peder L. Myhre,Victoria Arthur,Pranav Dorbala,Humaira Rasheed,Leo F. Buckley,Brian Claggett,Guning Liu,Jianzhong Ma,Ngoc Quynh Nguyen,Kunihiro Matsushita,Chiadi E Ndumele,Adrienne Tin,Kristian Hveem,Christian Jonasson,Håvard Dalen,Eric Boerwinkle,Ron C. Hoogeveen,Christie M. Ballantyne,Josef Coresh,Torbjørn Omland,Bing Yu
标识
DOI:10.1038/s41467-023-44680-3
摘要
Abstract Heart failure (HF) causes substantial morbidity and mortality but its pathobiology is incompletely understood. The proteome is a promising intermediate phenotype for discovery of novel mechanisms. We measured 4877 plasma proteins in 13,900 HF-free individuals across three analysis sets with diverse age, geography, and HF ascertainment to identify circulating proteins and protein networks associated with HF development. Parallel analyses in Atherosclerosis Risk in Communities study participants in mid-life and late-life and in Trøndelag Health Study participants identified 37 proteins consistently associated with incident HF independent of traditional risk factors. Mendelian randomization supported causal effects of 10 on HF, HF risk factors, or left ventricular size and function, including matricellular (e.g. SPON1, MFAP4), senescence-associated (FSTL3, IGFBP7), and inflammatory (SVEP1, CCL15, ITIH3) proteins. Protein co-regulation network analyses identified 5 modules associated with HF risk, two of which were influenced by genetic variants that implicated trans hotspots within the VTN and CFH genes.
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