Literature DB >> 20153355

Multistability property in cardiac ionic models of mammalian and human ventricular cells.

Elena Surovyatkina1, Denis Noble, David Gavaghan, Anna Sher.   

Abstract

The underlying mechanisms of irregular cardiac rhythms are still poorly understood. Many experimental and modeling studies are aimed at identifying factors which cause cardiac arrhythmias. However, a lack of understanding of heart rhythm dynamical properties makes it difficult to uncover precise mechanisms of electrical instabilities, and hence to predict the onset of heart rhythm disorders. We review and compare the existing methods of studying cardiac dynamics, including restitution protocol (S1-S2), dynamic restitution protocol and multistability test protocol (S1-CI-S2). We focus on cardiac cell dynamics to elucidate regularities of heart rhythm. We demonstrate the advantages of our newly proposed systematic approach of analysis of cardiac cell dynamics using mammalian Luo Rudy 1991 and human ventricular Ten Tusscher 2006 single cell models under healthy and diseased conditions such as altered K(+) or Ca(2+) related currents. We investigate the role of ionic properties and the shape of an action potential on the nonlinear dynamics of electrical processes in periodically stimulated cardiac cells. We show the existence of multistability property for human ventricular cells. Moreover, the multistability is proposed to be an intrinsic property of cardiac cells, and is also suggested to be one of the mechanisms which could underlie the sudden triggering of life-threatening ventricular arrhythmias in the human heart. 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20153355     DOI: 10.1016/j.pbiomolbio.2010.01.004

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  6 in total

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Authors:  Elizabeth M Cherry; Flavio H Fenton; Robert F Gilmour
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-03-30       Impact factor: 4.733

Review 2.  Nonlinear dynamics in cardiology.

Authors:  Trine Krogh-Madsen; David J Christini
Journal:  Annu Rev Biomed Eng       Date:  2012-04-18       Impact factor: 9.590

3.  A systems biology strategy on differential gene expression data discloses some biological features of atrial fibrillation.

Authors:  Federica Censi; Giovanni Calcagnini; Pietro Bartolini; Alessandro Giuliani
Journal:  PLoS One       Date:  2010-10-29       Impact factor: 3.240

4.  A Parsimonious Model of the Rabbit Action Potential Elucidates the Minimal Physiological Requirements for Alternans and Spiral Wave Breakup.

Authors:  Richard A Gray; Pras Pathmanathan
Journal:  PLoS Comput Biol       Date:  2016-10-17       Impact factor: 4.475

5.  A Quantitative Systems Pharmacology Perspective on the Importance of Parameter Identifiability.

Authors:  Anna Sher; Steven A Niederer; Gary R Mirams; Anna Kirpichnikova; Richard Allen; Pras Pathmanathan; David J Gavaghan; Piet H van der Graaf; Denis Noble
Journal:  Bull Math Biol       Date:  2022-02-07       Impact factor: 1.758

6.  A Parameter Representing Missing Charge Should Be Considered when Calibrating Action Potential Models.

Authors:  Yann-Stanislas H M Barral; Joseph G Shuttleworth; Michael Clerx; Dominic G Whittaker; Ken Wang; Liudmila Polonchuk; David J Gavaghan; Gary R Mirams
Journal:  Front Physiol       Date:  2022-04-26       Impact factor: 4.755

  6 in total

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