REVIEW article
Front. Cell Dev. Biol.
Sec. Cell Death and Survival
This article is part of the Research TopicMechanisms and Therapeutic Strategies in Cellular Injury and RepairView all 8 articles
Decoding Cardiac Metabolic Reprogramming through Single-Cell Multi-Omics: From Mechanisms to Therapeutic Applications
Provisionally accepted- First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin, China
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Cardiac metabolic reprogramming is a central pathological mechanism underlying various cardiovascular diseases. Revolutionary advances in single-cell multi-omics technologies, such as single-cell transcriptomics, single-cell epigenomics, and spatial transcriptomics, have overcome the limitations of traditional bulk omics approaches. These advances now allow systematic dissection of metabolic heterogeneity, dynamic changes, and intercellular communication in cardiac cells at single-cell resolution under both physiological and pathological conditions. This review summarizes recent progress in the field, revealing how metabolic reprogramming drives the progression of conditions such as heart failure and myocardial infarction. It also discusses emerging metabolically targeted intervention strategies, including modulation of lactate shuttle, lipotoxicity, and immunometabolism. Finally, we critically assess the challenges in translating these findings into clinical practice and outline future directions, emphasizing the importance of interdisciplinary collaboration to advance precision medicine in cardiology.
Keywords: Cardiac Metabolic Reprogramming, Single-cell multi-omics, Cellular heterogeneity, precision medicine, Interdisciplinary Collaboration
Received: 22 Sep 2025; Accepted: 17 Nov 2025.
Copyright: © 2025 Rong and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yabin Zhou, 3810566409@qq.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
