Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development

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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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Shah, A. M., Myhre, P. L., Arthur, V., Dorbala, P., Rasheed, H., Buckley, L. F., … Yu, B. (2024). Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development. Nature Communications, 15(1). https://doi.org/10.1038/s41467-023-44680-3

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