Association of genetically predicted lipid traits and lipid-modifying targets with heart failure

Aims To assess the association of genetically predicted lipid traits and lipid-modification via licensed or investigational targets with heart failure (HF). Methods and results Two-sample Mendelian randomization (MR) study was conducted using summary-level genome-wide association studies (GWASs) from UK Biobank and HERMES Consortium. Genetic variants obtained from UK Biobank GWAS data were selected as instrumental variables to predict the level of lipid traits [LDL cholesterol (LDL-C), HDL cholesterol (HDL-C), triglyceride (TG), apolipoprotein B (ApoB), and apolipoprotein AI (ApoAI)] and lipid-modifying effect of eight drug targets [HMGCR, PCSK9, NPC1L1, PPARA, lipoprotein lipase (LPL), ANGPTL3, APOC3, and cholesteryl ester transfer protein (CETP)]. In this study, we observed that genetically predicted LDL-C, TG, HDL-C or ApoB were significantly related to HF, which were mainly mediated by coronary heart disease (CHD). Drug target MR analyses identified PCSK9, CETP, and LPL as potential targets to prevent HF. The genetic proxy of LDL-C and ApoB increase modified by PCSK9 showed similar evidence in increasing risk of HF (PLDL-C = 1.27*10-4; P-ApoB = 1.94*10-4); CETP played a role in HF risk via modifying all investigational lipid traits with the strongest evidence though ApoB (P = 5.87*10(-6)); LPL exerted effects on HF via modifying most lipid traits with the strongest evidence observed via modifying TG (P= 3.73*10-12). Conclusion This two-sample MR study provided genetic evidence of the associations between lipid traits and HF risk, which were mostly mediated by CHD. Besides, drug target MR studies indicated that PCSK9 inhibition, CETP inhibition, and LPL activation were effective in HF reduction. Lay Summary Dyslipidaemia is a well-established cause of CHD, but the relationship between lipids and heart failure (HF) is unclear, and it is still unknown if lipid-modifying treatment could prevent HF. This study provided genetic evidence that dyslipidaemia is related to a higher risk of HF, mainly through the increased risk of CHD. This study identified three drug targets that may reduce the risk of HF via modifying lipids, including PCSK9 inhibition, CETP inhibition, and LPL activation. [GRAPHICS] .

Automated summary

This study assessed the association between genetically predicted lipid traits, their modification through licensed or investigational targets, and heart failure. The results showed a significant relationship between genetically predicted LDL-C, TG, HDL-C, and ApoB levels and heart failure, mainly mediated by coronary heart disease. Drug target analysis identified PCSK9, CETP, and LPL as potential targets for heart failure prevention.