Metabolomic profiling highlights specific dysregulated pathways in heart failure, offering potential for precision-medicine approaches through metabolic flux studies and integration with other -omics.
Both heart failure and cardiometabolic disease are on the rise, and abnormal cardiac and peripheral metabolism are central to the syndrome of heart failure. Advances in metabolomic profiling have improved our understanding of the heart's metabolic flexibility in patients with and without heart failure. Prior studies have noted patients with heart failure display metabolomic profiles associated with marked abnormalities in the metabolism of fatty acids, branched-chain amino acids, ketones, and glucose compared with control subjects. Metabolomics can highlight specific pathways that are dysregulated; however, other metabolites beyond those related to fuel metabolism may also play a role in precision-medicine approaches. Novel approaches include metabolic flux studies, spatial and single-cell analysis, serial monitoring of treatment response, and integration with other -omics data. The goal of these innovative approaches should be to harness metabolomic technologies to affect precision care for patients with heart failure.
Published in JACC: Basic to Translational Science, this study explores the use of automated retinal imaging to assess cardiovascular risk. This innovative approach to risk stratification is part of a growing trend in using AI and non-traditional markers to predict cardiovascular disease.
Hahn et al. (Wed,) conducted a review in Heart failure. Metabolomic profiling was evaluated. Metabolomic profiling highlights specific dysregulated pathways in heart failure, offering potential for precision-medicine approaches through metabolic flux studies and integration with other -omics.