Populations of Models Show Increased Arrhythmogenicity of the Hypertrophic Cardiomyopathy MYBPC3-c.772G>A Mutation

Several mutations can lead to hypertrophic cardiomyopathy (HCM), making it the most common genetic heart disease. Given the large heterogeneity of phenotypes shown by mutation carriers, robust patient stratification is still lacking, limiting treatment efficacy. In this work, we adopt a population of models approach to investigate the arrhythmic potential of the recently discovered MYBPC3-c.772G>A mutation, to provide an additional risk assessment tool. According to this objective, we built control and mutated populations of 10000 electro-mechanical models of single adult ventricular myocytes, randomizing 19 parameters (maximal conductances, kinetics and contractile element parameters) and calibrating them according to experimental data ranges. The mutation was modeled by applying ionic and contractile remodeling measured on patients myectomy samples. Different stimulation protocols were implemented to assess the influence on delayed after depolarizations and early-after depolarizations (EADs) inducibility. The results highlight a higher propensity of mutated cells in showing an arrhythmic behavior, with Ca2+related and K+ currents parameters driving EADs susceptibility. In conclusion, this work provides detailed insights on HCM arrhythmia mechanisms, potentially aiding risk stratification of patients.

Authors

Publication Details

Journal
Computing in cardiology
Published
2025-12-12
DOI
https://doi.org/10.22489/cinc.2025.241
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
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article

Populations of Models Show Increased Arrhythmogenicity of the Hypertrophic Cardiomyopathy MYBPC3-c.772G>A Mutation

Alan Fabbri, Stefano Severi, Eugenio Ricci, Fazeelat Mazhar et al.
Computing in cardiology
Cardiomyopathy and Myosin Studies
article

Populations of Models Show Increased Arrhythmogenicity of the Hypertrophic Cardiomyopathy MYBPC3-c.772G>A Mutation

Alan Fabbri, Stefano Severi, Eugenio Ricci, Fazeelat Mazhar, Chiara Bartolucci
article en

Abstract

Several mutations can lead to hypertrophic cardiomyopathy (HCM), making it the most common genetic heart disease. Given the large heterogeneity of phenotypes shown by mutation carriers, robust patient stratification is still lacking, limiting treatment efficacy. In this work, we adopt a population of models approach to investigate the arrhythmic potential of the recently discovered MYBPC3-c.772G>A mutation, to provide an additional risk assessment tool. According to this objective, we built control and mutated populations of 10000 electro-mechanical models of single adult ventricular myocytes, randomizing 19 parameters (maximal conductances, kinetics and contractile element parameters) and calibrating them according to experimental data ranges. The mutation was modeled by applying ionic and contractile remodeling measured on patients myectomy samples. Different stimulation protocols were implemented to assess the influence on delayed after depolarizations and early-after depolarizations (EADs) inducibility. The results highlight a higher propensity of mutated cells in showing an arrhythmic behavior, with Ca2+related and K+ currents parameters driving EADs susceptibility. In conclusion, this work provides detailed insights on HCM arrhythmia mechanisms, potentially aiding risk stratification of patients.

Computing in cardiologyVol. 52
Openalex Percentile: Top 43%
Cardiomyopathy and Myosin Studies
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Populations of Models Show Increased Arrhythmogenicity of the Hypertrophic Cardiomyopathy MYBPC3-c.772G>A Mutation — Alan Fabbri, Stefano Severi, et al. · Computing in cardiology (2025) | TGRS Research Map | TGRS