Towards Metabolomic-Based Precision Approaches for Classifying and Treating Heart Failure

IF 8.4 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS JACC: Basic to Translational Science Pub Date : 2024-09-01 DOI:10.1016/j.jacbts.2024.04.008
Virginia S. Hahn MD , Senthil Selvaraj MD, MS, MA , Kavita Sharma MD , Svati H. Shah MD, MHS
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Abstract

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.
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基于代谢组学的心力衰竭分类和治疗精准方法
心力衰竭和心脏代谢疾病都呈上升趋势,而心脏和外周代谢异常是心力衰竭综合征的核心。代谢组学分析技术的进步提高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认识。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与脂肪酸、支链氨基酸、酮体和葡萄糖代谢的明显异常有关。代谢组学可以突出显示失调的特定通路;然而,除了与燃料代谢相关的代谢物外,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影响心衰患者的精准治疗。
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来源期刊
JACC: Basic to Translational Science
JACC: Basic to Translational Science CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
14.20
自引率
1.00%
发文量
161
审稿时长
16 weeks
期刊介绍: JACC: Basic to Translational Science is an open access journal that is part of the renowned Journal of the American College of Cardiology (JACC). It focuses on advancing the field of Translational Cardiovascular Medicine and aims to accelerate the translation of new scientific discoveries into therapies that improve outcomes for patients with or at risk for Cardiovascular Disease. The journal covers thematic areas such as pre-clinical research, clinical trials, personalized medicine, novel drugs, devices, and biologics, proteomics, genomics, and metabolomics, as well as early phase clinical trial methodology.
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