Key result
In silico cardiomyocyte models calibrated solely on electrophysiology show ~10% mechanical failure from excitation abnormalities.
Why the study?
Mechano-calcium-electrical feedback couplings are known to affect myocardium mechanics and excitation, but are not currently a focus of populations of in silico human cardiomyocyte cell models.
Incorporating mechanoelectric coupling and mechanical tests in silico cardiomyocyte models is crucial for accurately assessing cardiac function and drug-induced pro-arrhythmic risks.
Caution against electro-only calibration of cardiomyocyte models for arrhythmia risk; leaves open the necessity of mechanical validation in future simulations.
Background: Populations of in silico electrophysiological models of human cardiomyocytes represent natural variability in cell activity and are thoroughly calibrated and validated using experimental data from the human heart. The models have been shown to predict the effects of drugs and their pro-arrhythmic risks. However, excitation and contraction are known to be tightly coupled in the myocardium, with mechanical loads and stretching affecting both mechanics and excitation through mechanisms of mechano-calcium-electrical feedback. However, these couplings are not currently a focus of populations of cell models. Aim: We investigated the role of cardiomyocyte mechanical activity under different mechanical conditions in the generation, calibration, and validation of a population of electro-mechanical models of human cardiomyocytes. Methods: To generate a population, we assumed 11 input parameters of ionic currents and calcium dynamics in our recently developed TP + M model as varying within a wide range. A History matching algorithm was used to generate a non-implausible parameter space by calibrating the action potential and calcium transient biomarkers against experimental data and rejecting models with excitation abnormalities. The population was further calibrated using experimental data on human myocardial force characteristics and mechanical tests involving variations in preload and afterload. Models that passed the mechanical tests were validated with additional experimental data, including the effects of drugs with high or low pro-arrhythmic risk. Results: More than 10% of the models calibrated on electrophysiological data failed mechanical tests and were rejected from the population due to excitation abnormalities at reduced preload or afterload for cell contraction. The final population of accepted models yielded action potential, calcium transient, and force/shortening outputs consistent with experimental data. In agreement with experimental and clinical data, the models demonstrated a high frequency of excitation abnormalities in simulations of Dofetilide action on the ionic currents, in contrast to Verapamil. However, Verapamil showed a high frequency of failed contractions at high concentrations. Conclusion: Our results highlight the importance of considering mechanoelectric coupling in silico cardiomyocyte models. Mechanical tests allow a more thorough assessment of the effects of interventions on cardiac function, including drug testing.
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Dokuchaev et al. (2023) studied Electrophysiological and mechanical modeling of human cardiomyocytes. In silico mechanical testing and drug simulation (Dofetilide, Verapamil) was evaluated on Excitation abnormalities and failed contractions. In silico electro-mechanical models of human cardiomyocytes revealed that >10% of models calibrated solely on electrophysiological data failed mechanical tests due to excitation abnormalities.
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