biostudies-literatureBeyhoff NDeutsche Gesellschaft für Kardiologie-Herz und Kreislaufforschung.Deutsches Zentrum für Herz-KreislaufforschungDeutsche Gesellschaft für Kardiologie-Herz und Kreislaufforschung3411-3422https://www.ebi.ac.uk/biostudies/studies/S-EPMC12803576biostudies-literatureUnknown27(12)<h4>Aims</h4>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.<h4>Methods and results</h4>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 theEuropean journal of heart failureComputational modelling of myocardial metabolism in patients with advanced heart failure.PMC12803576DGK07/202181Z0100212Baczko IKintscher UNeubauer SHolzhutter HGPotapov EKnosalla CKuehne TBraun VMTyler DJGrune TKirchner MFinnigan LEMBerndt NRider OJMilting HBeyhoff NMertins PRaman BfalseComputational modelling of myocardial metabolism in patients with advanced heart failure.<h4>Aims</h4>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.<h4>Methods and results</h4>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 the2025-01-01T00:00:00Z2025 Dec2026-07-15T13:19:47.376Z2026-07-05T03:08:37.787ZS-EPMC128035764066221410.1002/ejhf.3746