Evolution of mathematical models of cardiomyocyte electrophysiology
- PMID: 33607174
- DOI: 10.1016/j.mbs.2021.108567
Evolution of mathematical models of cardiomyocyte electrophysiology
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.
Copyright © 2021 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Similar articles
-
Comprehensive in vitro Proarrhythmia Assay, a novel in vitro/in silico paradigm to detect ventricular proarrhythmic liability: a visionary 21st century initiative.Expert Opin Drug Saf. 2014 Jun;13(6):745-58. doi: 10.1517/14740338.2014.915311. Expert Opin Drug Saf. 2014. PMID: 24845945 Review.
-
An Introduction to Computational Modeling of Cardiac Electrophysiology and Arrhythmogenicity.Methods Mol Biol. 2018;1816:17-35. doi: 10.1007/978-1-4939-8597-5_2. Methods Mol Biol. 2018. PMID: 29987808 Free PMC article.
-
Cardiac voltage-gated ion channels in safety pharmacology: Review of the landscape leading to the CiPA initiative.J Pharmacol Toxicol Methods. 2017 Sep;87:11-23. doi: 10.1016/j.vascn.2017.04.002. Epub 2017 Apr 11. J Pharmacol Toxicol Methods. 2017. PMID: 28408211 Review.
-
CiPA challenges and opportunities from a non-clinical, clinical and regulatory perspectives. An overview of the safety pharmacology scientific discussion.J Pharmacol Toxicol Methods. 2018 Sep-Oct;93:15-25. doi: 10.1016/j.vascn.2018.06.005. Epub 2018 Jun 27. J Pharmacol Toxicol Methods. 2018. PMID: 29958940 Review.
-
Computational modeling for cardiac safety pharmacology analysis: Contribution of fibroblasts.J Pharmacol Toxicol Methods. 2017 Sep;87:68-73. doi: 10.1016/j.vascn.2017.04.011. Epub 2017 Apr 26. J Pharmacol Toxicol Methods. 2017. PMID: 28456609 Free PMC article.
Cited by
-
Osteopathic Palpation of the Heart.Cureus. 2021 Mar 30;13(3):e14187. doi: 10.7759/cureus.14187. Cureus. 2021. PMID: 33816036 Free PMC article. Review.
-
Evaluating computational efforts and physiological resolution of mathematical models of cardiac tissue.Sci Rep. 2024 Jul 23;14(1):16954. doi: 10.1038/s41598-024-67431-w. Sci Rep. 2024. PMID: 39043725 Free PMC article.
-
[Intrinsic steady-state pattern of mouse cardiac electrophysiology: analysis using a characterized quantitative electrocardiogram strategy].Nan Fang Yi Ke Da Xue Xue Bao. 2024 Oct 20;44(10):1985-1994. doi: 10.12122/j.issn.1673-4254.2024.10.17. Nan Fang Yi Ke Da Xue Xue Bao. 2024. PMID: 39523099 Free PMC article. Chinese.
-
Integrative Computational Modeling of Cardiomyocyte Calcium Handling and Cardiac Arrhythmias: Current Status and Future Challenges.Cells. 2022 Mar 24;11(7):1090. doi: 10.3390/cells11071090. Cells. 2022. PMID: 35406654 Free PMC article.
-
Neural network emulation of the human ventricular cardiomyocyte action potential for more efficient computations in pharmacological studies.Elife. 2024 Apr 10;12:RP91911. doi: 10.7554/eLife.91911. Elife. 2024. PMID: 38598284 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
