Resumen:
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[EN] Background and objective: Structural and electrical remodeling in heart failure predisposes the heart to
ventricular arrhythmias. Computer modeling approaches, used to complement experimental results, can
provide a ...[+]
[EN] Background and objective: Structural and electrical remodeling in heart failure predisposes the heart to
ventricular arrhythmias. Computer modeling approaches, used to complement experimental results, can
provide a more mechanistic knowledge of the biophysical phenomena underlying cardiac pathologies. Indeed, previous in-silico studies have improved the understanding of the electrical correlates of heart failure involved in arrhythmogenesis; however, information on the crosstalk between electrical activity, intracellular Ca2+ and contraction is still incomplete. This study aims to investigate the electro-mechanical
behavior of virtual failing human ventricular myocytes to help in the development of therapies, which
should ideally target pump failure and arrhythmias at the same time.
Methods: We implemented characteristic remodeling of heart failure with reduced ejection fraction by
including reported changes in ionic conductances, sarcomere function and cell structure (e.g. T-tubules
disarray). Model parametrization was based on published experimental data and the outcome of simulations was validated against experimentally observed patterns. We focused on two aspects of myocardial
dysfunction central in heart failure: altered force-frequency relationship and susceptibility to arrhythmogenic early afterdepolarizations. Because biological variability is a major problem in the generalization of
in-silico findings based on a unique set of model parameters, we generated and evaluated a population
of models.
Results: The population-based approach is crucial in robust identification of parameters at the core of
abnormalities and in generalizing the outcome of their correction. As compared to non-failing ones, failing myocytes had prolonged repolarization, a higher incidence of early afterdepolarizations, reduced contraction and a shallower force-frequency relationship, all features peculiar of heart failure. Component
analysis applied to the model population identified reduced SERCA function as a relevant contributor to
most of these derangements, which were largely reverted or diminished by restoration of SERCA function
alone.
Conclusions: These simulated results encourage the development of strategies comprising SERCA stimulation and highlight the need to evaluate both electrical and mechanical outcomes.
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Agradecimientos:
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This work received funding for open access charge: CRUE Universitat Politècnica de València. The project was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 101016496 ...[+]
This work received funding for open access charge: CRUE Universitat Politècnica de València. The project was supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 101016496 (SimCardioTest), and by Grant PID2019-104356RB-C41 funded by MCIN/AEI/10.13039/501100011033.
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