Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, 91-95 Splaiul Independentei, Bucharest 050095, Romania; Life, Environmental and Earth Sciences Division, Research Institute of the University of Bucharest (ICUB), 91-95 Splaiul Independentei, Bucharest 050095, Romania.
Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, 91-95 Splaiul Independentei, Bucharest 050095, Romania; Life, Environmental and Earth Sciences Division, Research Institute of the University of Bucharest (ICUB), 91-95 Splaiul Independentei, Bucharest 050095, Romania.
Math Biosci. 2021 Apr;334:108567. doi: 10.1016/j.mbs.2021.108567. Epub 2021 Feb 16.
Advanced computational techniques and mathematical modeling have become more and more important to the study of cardiac electrophysiology. In this review, we provide a brief history of the evolution of cardiomyocyte electrophysiology models and highlight some of the most important ones that had a major impact on our understanding of the electrical activity of the myocardium and associated transmembrane ion fluxes in normal and pathological states. We also present the use of these models in the study of various arrhythmogenesis mechanisms, particularly the integration of experimental pharmacology data into advanced humanized models for in silico proarrhythmogenic risk prediction as an essential component of the Comprehensive in vitro Proarrhythmia Assay (CiPA) drug safety paradigm.
先进的计算技术和数学模型在心脏电生理学研究中变得越来越重要。在这篇综述中，我们提供了心肌细胞电生理学模型演变的简要历史，并强调了一些对我们理解心肌的电活动以及正常和病理状态下相关跨膜离子通量有重大影响的最重要模型。我们还介绍了这些模型在各种心律失常机制研究中的应用，特别是将实验药理学数据整合到先进的人类化模型中，以便对计算机化致心律失常风险进行预测，作为综合体外致心律失常试验（CiPA）药物安全范式的一个重要组成部分。
