Recent advancements in big data, single-cell analysis, and machine learning offer new high-impact opportunities to understand myocardial ischemic injury and tissue remodeling in heart failure.
Myocardial ischemic injury and its resolution are the key determinants of morbidity or mortality in heart failure. The cause and duration of ischemia in patients vary. Numerous experimental models and methods have been developed to define genetic, metabolic, molecular, cellular, and pathophysiological mechanisms, in addition to defining structural and functional deterioration of cardiovascular performance. The rapid rise of big data, such as single-cell analysis techniques with bioinformatics, machine learning, and neural networking, brings a new level of sophistication to our understanding of myocardial ischemia. This mini-review explores the multifaceted nature of ischemic injury in the myocardium. We highlight recent state-of-the-art findings and strategies to show new directions of high-impact approach to understanding myocardial tissue remodeling. This next age of heart and circulatory physiology research will be more comprehensive and collaborative to uncover the origin, progression, and manifestation of heart failure while strengthening novel treatment strategies.
Rimon et al. (2022) conducted a review in Myocardial ischemic injury and heart failure. Recent advancements in big data, single-cell analysis, and machine learning offer new high-impact opportunities to understand myocardial ischemic injury and tissue remodeling in heart failure.