Hahn Virginia S, Selvaraj Senthil, Sharma Kavita, Shah Svati H
Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Division of Cardiology, Duke University School of Medicine, Durham, North Carolina, USA.
JACC Basic Transl Sci. 2024 Jul 31;9(9):1144-1158. doi: 10.1016/j.jacbts.2024.04.008. eCollection 2024 Sep.
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.
心力衰竭和心脏代谢疾病的发病率均呈上升趋势,心脏和外周代谢异常是心力衰竭综合征的核心。代谢组学分析的进展加深了我们对心力衰竭患者和非心力衰竭患者心脏代谢灵活性的理解。先前的研究指出,与对照组相比,心力衰竭患者的代谢组学特征显示出脂肪酸、支链氨基酸、酮类和葡萄糖代谢存在明显异常。代谢组学可以突出显示失调的特定途径;然而,除了与能量代谢相关的代谢物之外,其他代谢物也可能在精准医疗方法中发挥作用。新方法包括代谢通量研究、空间和单细胞分析、治疗反应的连续监测以及与其他组学数据的整合。这些创新方法的目标应该是利用代谢组学技术为心力衰竭患者提供精准护理。