Personalized mapping of myocardial bioenergetics reveals genotype-linked metabolic signatures in hypertrophic cardiomyopathy

K. Beckschulte (Berlin)1, N. Berndt (Nuthetal)2, L. Finnigan (Berlin)1, J. Wang (Berlin)1, I. Wallach (Berlin)3, V. Falk (Berlin)4, F. Schoenrath (Berlin)1, N. Beyhoff (Berlin)5
1Deutsches Herzzentrum der Charite (DHZC) Klinik für Herz-, Thorax- und Gefäßchirurgie Berlin, Deutschland; 2Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DIfE) Molekulare Toxikologie Nuthetal, Deutschland; 3Charité - Universitätsmedizin Berlin Institut für Radiologie Berlin, Deutschland; 4Charité - Universitätsmedizin Berlin Klinik für kardiovaskuläre Chirurgie Berlin, Deutschland; 5Charité - Universitätsmedizin Berlin Institut für Pharmakologie Berlin, Deutschland

Background: Hypertrophic cardiomyopathy (HCM), the most prevalent inherited cardiac disease, is marked by striking phenotypic and clinical heterogeneity. Although impaired myocardial energetics are recognized as a hallmark of HCM, the influence of individual metabolic phenotypes on disease expression remains poorly understood. This multicenter study aimed to define and characterize patient-specific myocardial bioenergetic profiles across the HCM disease spectrum and to explore their relationships with genotype and disease severity.

Methods: Quantitative mass spectrometry-based proteomics was performed on 165 myocardial biopsies, including 118 samples from HCM patients (30% female, median age 52 [18-74] years) and 47 non-diseased donor hearts. Expression levels of 304 metabolic enzymes were integrated into a validated kinetic model encompassing 296 biochemical reactions across all major energy-generating pathways. This computational framework enabled personalized simulations of myocardial ATP generation under varying workload and substrate conditions, which were then correlated with genetic, echocardiographic, and clinical data.

Results: Compared with controls, HCM patients demonstrated a markedly reduced maximal ATP production capacity, with substantial interindividual variability (Figure 1A). Maximal uptake capacities for fatty acids and branched-chain amino acids were decreased, accompanied by a metabolic shift toward greater glucose utilization both at rest and during peak workload (p<0.01). Sarcomere mutation carriers had a 10.1 ± 4.7% lower ATP production capacity than genotype-negative HCM patients (Figure 1B). Among sarcomere-positive cases, MYBPC3 and MYH7 variant carriers showed more pronounced energetic impairment than those with other pathogenic variants (Figure 1C). HCM patients receiving beta blocker therapy exhibited a higher simulated ATP production capacity (p<0.01), associated with a higher respiratory efficacy (ATP yield per mole O2) in sarcomere-positive but not sarcomere-negative subjects.

Conclusion: This study provides a comprehensive, patient-specific map of myocardial bioenergetics, revealing distinct metabolic signatures linked to genotype and disease severity in a large, well-characterized HCM cohort. Personalized assessment of myocardial metabolism may deepen understanding of disease heterogeneity and inform precision strategies for risk stratification and targeted management in HCM.


Figure 1: Patient-specific reconstruction of maximal ATP production capacity stratified by (A) disease group, (B) genotype across HCM patients, and (C) pathogenic variant in SARC+ HCM. MYBPC3, myosin-binding protein C; MYH7, myosin heavy chain 7; SARC+, sarcomere-positive; SARC-, sarcomere-negative.