EAD Mechanisms in Hypertrophic Mouse Ventricular Myocytes: Insights from a Compartmentalized Mathematical Model.

IF 2 4区 数学 Q2 BIOLOGY
Dilmini Warnakulasooriya, Vladimir E Bondarenko
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引用次数: 0

Abstract

Transverse aortic constriction (TAC) is one of the experimental mouse models that are designed to investigate cardiac hypertrophy and heart failure. Most of the studies with this model are devoted to the stage of developed heart failure. However, several studies of the early stages (hypertrophy after 1 week of TAC) of this disease found significant changes in the β-adrenergic system, electrical activity, and Ca2+ dynamics in mouse ventricular myocytes. To provide a quantitative description of cardiac hypertrophy, we developed a new compartmentalized mathematical model of hypertrophic mouse ventricular myocytes for the early stage after the TAC procedure. The model described the changes in cell geometry, action potentials, [Ca2+]i transients, and β1- and β2-adrenergic signaling systems. We also showed that the hypertrophic myocytes demonstrated early afterdepolarizations (EADs) upon stimulation with isoproterenol at relatively long stimulation periods. Simulation of the hypertrophic myocyte activities revealed that the synergistic effects of the late Na+ current, the L-type Ca2+ current, and the T-type Ca2+ current were responsible for the initiation of EADs. The mechanisms of EAD and its suppression were investigated and sensitivity analysis was performed. Simulation results obtained with the hypertrophic cell model were compared to those from the normal ventricular myocytes. The developed mathematical model can be used for the explanation of the existing experimental data, for the development of the models for other hypertrophic phenotypes, and to make experimentally testable predictions of a hypertrophic myocyte's behavior.

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来源期刊
CiteScore
3.90
自引率
8.60%
发文量
123
审稿时长
7.5 months
期刊介绍: The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.
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