Literature DB >> 26582329

Computational models of atrial cellular electrophysiology and calcium handling, and their role in atrial fibrillation.

Jordi Heijman1,2, Pegah Erfanian Abdoust2, Niels Voigt2, Stanley Nattel2,3, Dobromir Dobrev2.   

Abstract

The complexity of the heart makes an intuitive understanding of the relative contribution of ion channels, transporters and signalling pathways to cardiac electrophysiology challenging. Computational modelling of cardiac cellular electrophysiology has proven useful to integrate experimental findings, extrapolate results obtained in expression systems or animal models to other systems, test quantitatively ideas based on experimental data and provide novel hypotheses that are experimentally testable. While the bulk of computational modelling has traditionally been directed towards ventricular bioelectricity, increasing recognition of the clinical importance of atrial arrhythmias, particularly atrial fibrillation, has led to widespread efforts to apply computational approaches to understanding atrial electrical function. The increasing availability of detailed, atrial-specific experimental data has stimulated the development of novel computational models of atrial-cellular electrophysiology and Ca(2+) handling. To date, more than 300 studies have employed mathematical simulations to enhance our understanding of atrial electrophysiology, arrhythmogenesis and therapeutic responses. Future modelling studies are likely to move beyond current whole-cell models by incorporating new data on subcellular architecture, macromolecular protein complexes, and localized ion-channel regulation by signalling pathways. At the same time, more integrative multicellular models that take into account regional electrophysiological and Ca(2+) handling properties, mechano-electrical feedback and/or autonomic regulation will be needed to investigate the mechanisms governing atrial arrhythmias. A combined experimental and computational approach is expected to provide the more comprehensive understanding of atrial arrhythmogenesis that is required to develop improved diagnostic and therapeutic options. Here, we review this rapidly expanding area, with a particular focus on Ca(2+) handling, and provide ideas about potential future directions.
© 2015 The Authors. The Journal of Physiology © 2015 The Physiological Society.

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Year:  2015        PMID: 26582329      PMCID: PMC5341705          DOI: 10.1113/JP271404

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  73 in total

Review 1.  Differential distribution of cardiac ion channel expression as a basis for regional specialization in electrical function.

Authors:  Gernot Schram; Marc Pourrier; Peter Melnyk; Stanley Nattel
Journal:  Circ Res       Date:  2002-05-17       Impact factor: 17.367

2.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

Review 3.  Macromolecular complexes regulating cardiac ryanodine receptor function.

Authors:  Donald M Bers
Journal:  J Mol Cell Cardiol       Date:  2004-08       Impact factor: 5.000

Review 4.  Systems biology and the heart.

Authors:  Denis Noble
Journal:  Biosystems       Date:  2005-10-17       Impact factor: 1.973

5.  Mathematical analysis of canine atrial action potentials: rate, regional factors, and electrical remodeling.

Authors:  R J Ramirez; S Nattel; M Courtemanche
Journal:  Am J Physiol Heart Circ Physiol       Date:  2000-10       Impact factor: 4.733

6.  Expression of cardiac calcium regulatory proteins in atrium v ventricle in different species.

Authors:  I Lüss; P Boknik; L R Jones; U Kirchhefer; J Knapp; B Linck; H Lüss; A Meissner; F U Müller; W Schmitz; U Vahlensieck; J Neumann
Journal:  J Mol Cell Cardiol       Date:  1999-06       Impact factor: 5.000

7.  Comparing the global mRNA expression profile of human atrial and ventricular myocardium with high-density oligonucleotide arrays.

Authors:  Peter Ellinghaus; Robert J Scheubel; Dobromir Dobrev; Ursula Ravens; Juergen Holtz; Joachim Huetter; Ulrich Nielsch; Henning Morawietz
Journal:  J Thorac Cardiovasc Surg       Date:  2005-06       Impact factor: 5.209

Review 8.  Remodeling of cardiomyocyte ion channels in human atrial fibrillation.

Authors:  Dobromir Dobrev; Ursula Ravens
Journal:  Basic Res Cardiol       Date:  2003-05       Impact factor: 17.165

9.  Sinus node automaticity during atrial fibrillation in isolated rabbit hearts.

Authors:  C J Kirchhof; M A Allessie
Journal:  Circulation       Date:  1992-07       Impact factor: 29.690

10.  Remodeling of Ca(2+)-handling by atrial tachycardia: evidence for a role in loss of rate-adaptation.

Authors:  James Kneller; Hui Sun; Normand Leblanc; Stanley Nattel
Journal:  Cardiovasc Res       Date:  2002-05       Impact factor: 10.787

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  17 in total

Review 1.  Computational modeling: What does it tell us about atrial fibrillation therapy?

Authors:  Eleonora Grandi; Dobromir Dobrev; Jordi Heijman
Journal:  Int J Cardiol       Date:  2019-01-25       Impact factor: 4.164

2.  Computational models of the atrial fibrillation substrate: can they explain post-ablation recurrences and help to prevent them.

Authors:  Stanley Nattel
Journal:  Cardiovasc Res       Date:  2019-10-01       Impact factor: 10.787

Review 3.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

Review 4.  The value of basic research insights into atrial fibrillation mechanisms as a guide to therapeutic innovation: a critical analysis.

Authors:  Jordi Heijman; Vincent Algalarrondo; Niels Voigt; Jonathan Melka; Xander H T Wehrens; Dobromir Dobrev; Stanley Nattel
Journal:  Cardiovasc Res       Date:  2015-12-23       Impact factor: 10.787

5.  A compartmentalized mathematical model of mouse atrial myocytes.

Authors:  Tesfaye Negash Asfaw; Leonid Tyan; Alexey V Glukhov; Vladimir E Bondarenko
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-01-17       Impact factor: 4.733

6.  Atrial fibrillation rhythm is associated with marked changes in metabolic and myofibrillar protein expression in left atrial appendage.

Authors:  Julie H Rennison; Ling Li; Cheryl R Lin; Beth S Lovano; Laurie Castel; Sojin Youn Wass; Catherine C Cantlay; Meghan McHale; A Marc Gillinov; Reena Mehra; Belinda B Willard; Jonathan D Smith; Mina K Chung; John Barnard; David R Van Wagoner
Journal:  Pflugers Arch       Date:  2021-01-16       Impact factor: 3.657

Review 7.  Calibration of ionic and cellular cardiac electrophysiology models.

Authors:  Dominic G Whittaker; Michael Clerx; Chon Lok Lei; David J Christini; Gary R Mirams
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-02-21

Review 8.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

9.  Immediate and Delayed Response of Simulated Human Atrial Myocytes to Clinically-Relevant Hypokalemia.

Authors:  Michael Clerx; Gary R Mirams; Albert J Rogers; Sanjiv M Narayan; Wayne R Giles
Journal:  Front Physiol       Date:  2021-05-26       Impact factor: 4.566

10.  Description of the Human Atrial Action Potential Derived From a Single, Congruent Data Source: Novel Computational Models for Integrated Experimental-Numerical Study of Atrial Arrhythmia Mechanisms.

Authors:  Michael A Colman; Priyanka Saxena; Sarah Kettlewell; Antony J Workman
Journal:  Front Physiol       Date:  2018-09-07       Impact factor: 4.566

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