Key result
Tissue-level cardiomyocyte modeling reveals emergent alternans and stable functional reentry at ~13 Hz.
The development of a tissue-level computational model for neonatal mouse cardiomyocytes bridges the gap between single-cell and emergent tissue properties, enabling robust in silico investigation of arrhythmias.
Tissue-level neonatal mouse models reveal emergent arrhythmogenic dynamics; leaves open translation to human arrhythmia mechanisms.
Spatiotemporal dynamics in cardiac tissue emerging from the coupling of individual cardiomyocytes underlie the heart's normal rhythm as well as undesired and possibly life-threatening arrhythmias. While single cells and their transmembrane currents have been studied extensively, systematically investigating spatiotemporal dynamics is complicated by the nontrivial relationship between single-cell and emergent tissue properties. Mathematical models have been employed to bridge this gap and contribute to a deepened understanding of the onset, development, and termination of arrhythmias. However, no such tissue-level model currently exists for neonatal mice. Here, we build on a recent single-cell model of neonatal mouse cardiomyocytes by Wang and Sobie (Am. J. Physiol. Heart Circ. Physiol. 294:H2565) to predict properties that are commonly used to gauge arrhythmogenicity of cardiac substrates. We modify the model to yield well-defined behavior for common experimental protocols and construct a spatially extended version to study emergent tissue dynamics. We find a complex action potential duration (APD) restitution behavior characterized by a nonmonotonic dependence on pacing frequency. Electrotonic coupling in tissue leads not only to changes in action potential morphology but can also induce spatially concordant and discordant alternans not observed in the single-cell model. In two-dimensional tissue, our results show that the model supports stable functional reentry, whose frequency is in good agreement with that observed in adult mice. Our results can be used to further constrain and validate the mathematical model of neonatal mouse cardiomyocytes with future experiments.
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Mayer et al. (2017) studied Cardiac electrophysiology and arrhythmia modeling. Spatially extended tissue-level computational model with electrotonic coupling vs. Uncoupled single-cell model was evaluated on Spatiotemporal dynamics including APD restitution, alternans, and functional reentry. The tissue-level model of neonatal mouse cardiomyocytes demonstrated emergent spatially concordant and discordant alternans not observed in single cells, and supported stable functional reentry with a frequency of 12.8 Hz.
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