Evolution of mathematical models of cardiomyocyte electrophysiology

Bogdan Amuzescu; Razvan Airini; Florin Bogdan Epureanu; Stefan A Mann; Thomas Knott; Beatrice Mihaela Radu

doi:10.1016/j.mbs.2021.108567

Evolution of mathematical models of cardiomyocyte electrophysiology

Math Biosci. 2021 Apr:334:108567. doi: 10.1016/j.mbs.2021.108567. Epub 2021 Feb 16.

Authors

Bogdan Amuzescu¹, Razvan Airini², Florin Bogdan Epureanu², Stefan A Mann³, Thomas Knott⁴, Beatrice Mihaela Radu²

Affiliations

¹ 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. Electronic address: bogdan@biologie.kappa.ro.
² 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.
³ Cytocentrics Bioscience GmbH, Nattermannallee 1, 50829 Cologne, Germany.
⁴ CytoBioScience Inc., 3463 Magic Drive, San Antonio, TX 78229, USA.

PMID: 33607174
DOI: 10.1016/j.mbs.2021.108567

Abstract

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.

Keywords: Cardiac action potential; Cardiomyocyte; Cardiomyocyte electrophysiology; Hodgkin–Huxley models; Markov models; Mathematical models.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Arrhythmias, Cardiac / pathology
Drug Evaluation, Preclinical
Electrophysiology*
Humans
Models, Biological*
Myocytes, Cardiac* / physiology