Computational modelling of myocardial metabolism in patients with advanced heart failure.

ABSTRACT:

Aims

Perturbations of myocardial metabolism and energy depletion are well-established hallmarks of heart failure (HF), yet methods for their systematic assessment remain limited in humans. This study aimed to determine the ability of computational modelling of patient-specific myocardial metabolism to assess individual bioenergetic phenotypes and their clinical implications in HF.

Methods and results

Based on proteomics-derived enzyme quantities in 136 cardiac biopsies, personalised computational models of myocardial metabolism were generated in two independent cohorts of advanced HF patients together with sex- and body mass index-matched non-failing controls. The bioenergetic impact of dynamic changes in substrate availability and myocardial workload were simulated, and the

SUBMITTER: Beyhoff N 

PROVIDER: S-EPMC12803576 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature