A Mendelian randomized study on the causal relationship between blood metabolites and heart failure.

Objective To evaluate the potential causal relationship between blood metabolites and the risk of heart failure by two-sample Mendelian randomization. Methods Based on a genome-wide association study containing 486 blood metabolites, single nucleotide polymorphisms (SNPs) independently associated with blood metabolites was selected as instrumental variables. The heart failure data were derived from the Genome-Wide Association Study of the Molecular Epidemiology Research Consortium for Therapeutic Targets in Heart Failure. The potential causal relationship between them was analyzed by inverse variance weighting method, MR-Egger regression method, and weighted median method, and the sensitivity analysis was performed using MR-Egger regression intercept, Cochran Q test, MR-PRESSO, and leave-one-out method. Results In total 7 516 SNP associated with blood metabolites were selected as instrumental variables. The results of inverse variance weighting analysis showed that pantothenic acid was associated with heart failure (OR=1.29, 95% CI: 1.03-1.63). Sensitivity analysis results indicated that the results were robust. Conclusion This study suggests that there is a positive causal relationship between pantothenic acid and the risk of heart failure, which may provide new insights into the pathogenesis and drug targets of heart failure. [ABSTRACT FROM AUTHOR]