Literature DB >> 33607174

Evolution of mathematical models of cardiomyocyte electrophysiology.

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

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.
Copyright © 2021 Elsevier Inc. All rights reserved.

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

Year:  2021        PMID: 33607174     DOI: 10.1016/j.mbs.2021.108567

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

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Journal:  Cureus       Date:  2021-03-30

Review 2.  Calcium Signaling Silencing in Atrial Fibrillation: Implications for Atrial Sodium Homeostasis.

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Journal:  Int J Mol Sci       Date:  2021-09-29       Impact factor: 5.923

3.  Integrative Computational Modeling of Cardiomyocyte Calcium Handling and Cardiac Arrhythmias: Current Status and Future Challenges.

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Journal:  Cells       Date:  2022-03-24       Impact factor: 6.600

4.  Navigating Between Right, Wrong, and Relevant: The Use of Mathematical Modeling in Preclinical Decision Making.

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5.  Ventricular Repolarization and Calcium Transient Show Resonant Behavior under Oscillatory Pacing Rate.

Authors:  Massimiliano Zaniboni
Journal:  Biomolecules       Date:  2022-06-23

6.  Deriving the Bidomain Model of Cardiac Electrophysiology From a Cell-Based Model; Properties and Comparisons.

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Journal:  Front Physiol       Date:  2022-01-07       Impact factor: 4.566

Review 7.  Bifurcations and Proarrhythmic Behaviors in Cardiac Electrical Excitations.

Authors:  Kunichika Tsumoto; Yasutaka Kurata
Journal:  Biomolecules       Date:  2022-03-16
  7 in total

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