Literature DB >> 20801131

How different two almost identical action potentials can be: a model study on cardiac repolarization.

Massimiliano Zaniboni1, Irene Riva, Francesca Cacciani, Maria Groppi.   

Abstract

Spatial heterogeneity in the properties of ion channels generates spatial dispersion of ventricular repolarization, which is modulated by gap junctional coupling. However, it is possible to simulate conditions in which local differences in excitation properties are electrophysiologically silent and only play a role in pathological states. We use a numerical procedure on the Luo-Rudy phase 1 model of the ventricular action potential (AP1) in order to find a modified set of model parameters which generates an action potential profile (AP2) almost identical to AP1. We show that, although the two waveforms elicited from resting conditions as a single AP are very similar and belong to membranes sharing similar passive electrical properties, the modified membrane generating AP2 is a weaker current source than the one generating AP1, has different sensitivity to up/down-regulation of ion channels and to extracellular potassium, and a different electrical restitution profile. We study electrotonic interaction of AP1- and AP2- type membranes in cell pairs and in cable conduction, and find differences in source-sink properties which are masked in physiological conditions and become manifest during intercellular uncoupling or partial block of ion channels, leading to unidirectional block and spatial repolarization gradients. We provide contour plot representations that summarize differences and similarities. The present report characterizes an inverse problem in cardiac cells, and strengthen the recently emergent notion that a comprehensive characterization and validation of cell models and their components are necessary in order to correctly understand simulation results at higher levels of complexity.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20801131     DOI: 10.1016/j.mbs.2010.08.007

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


  15 in total

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Journal:  J Physiol       Date:  2012-04-10       Impact factor: 5.182

2.  In silico assessment of drug safety in human heart applied to late sodium current blockers.

Authors:  Beatriz Trenor; Julio Gomis-Tena; Karen Cardona; Lucia Romero; Sridharan Rajamani; Luiz Belardinelli; Wayne R Giles; Javier Saiz
Journal:  Channels (Austin)       Date:  2013 Jul-Aug       Impact factor: 2.581

3.  Differential roles of two delayed rectifier potassium currents in regulation of ventricular action potential duration and arrhythmia susceptibility.

Authors:  Ryan A Devenyi; Francis A Ortega; Willemijn Groenendaal; Trine Krogh-Madsen; David J Christini; Eric A Sobie
Journal:  J Physiol       Date:  2016-12-28       Impact factor: 5.182

Review 4.  Improving cardiomyocyte model fidelity and utility via dynamic electrophysiology protocols and optimization algorithms.

Authors:  Trine Krogh-Madsen; Eric A Sobie; David J Christini
Journal:  J Physiol       Date:  2016-02-04       Impact factor: 5.182

Review 5.  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

6.  Bridging the gap between computation and clinical biology: validation of cable theory in humans.

Authors:  Malcolm C Finlay; Lei Xu; Peter Taggart; Ben Hanson; Pier D Lambiase
Journal:  Front Physiol       Date:  2013-09-04       Impact factor: 4.566

7.  Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue.

Authors:  John Walmsley; Gary R Mirams; Joe Pitt-Francis; Blanca Rodriguez; Kevin Burrage
Journal:  J Theor Biol       Date:  2014-11-04       Impact factor: 2.691

8.  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

9.  Beat-to-beat cycle length variability of spontaneously beating guinea pig sinoatrial cells: relative contributions of the membrane and calcium clocks.

Authors:  Massimiliano Zaniboni; Francesca Cacciani; Robert L Lux
Journal:  PLoS One       Date:  2014-06-18       Impact factor: 3.240

10.  Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.

Authors:  Brodie A J Lawson; Christopher C Drovandi; Nicole Cusimano; Pamela Burrage; Blanca Rodriguez; Kevin Burrage
Journal:  Sci Adv       Date:  2018-01-10       Impact factor: 14.136

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