Key result
Framing HF as an energetic deficiency via advanced imaging and AI may guide earlier therapeutic approaches.
Why the study?
Heart failure management currently relies mostly on phenotypic presentation, while the energetic starvation model has not received sufficient attention.
This review proposes that understanding heart failure as an energy deficiency syndrome could lead to earlier and more effective therapeutic approaches.
May guide energy-focused HF trials; leaves open whether imaging, nanotechnology, and AI improve outcomes.
Heart failure is a complex syndrome and our understanding and therapeutic approach relies mostly on its phenotypic presentation. Notably, the heart is characterized as the most energy-consuming organ, being both a producer and consumer, in order to satisfy multiple cardiac functions: ion exchange, electromechanical coordination, excitation-contraction coupling, etc. By obtaining further knowledge of the cardiac energy field, we can probably better characterize the basic pathophysiological events occurring in heart disease patients and understand the metabolic substance changes, the relationship between the alteration of energy production/consumption, and hence energetic deficiency not only in the heart as a whole but in every single cardiac territory, which will hopefully provide us with the opportunity to uncover the beginning of the heart failure process. In this respect, using (a) newer imaging techniques, (b) biomedicine, (c) nanotechnology, and (d) artificial intelligence, we can gain a deeper understanding of this complex syndrome. This, in turn, can lead to earlier and more effective therapeutic approaches, ultimately improving human health. To date, the scientific community has not given sufficient attention to the energetic starvation model. In our view, this review aims to encourage scientists and the medical community to conduct studies for a better understanding and treatment of this syndrome.
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Paraskevaidis et al. (2024) conducted a review in Heart failure. Characterizing heart failure as an energetic deficiency using advanced imaging, nanotechnology, and artificial intelligence may lead to earlier and more effective therapeutic approaches.
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