Literature DB >> 15731458

Mechanisms of atrial fibrillation termination by pure sodium channel blockade in an ionically-realistic mathematical model.

James Kneller1, Jérôme Kalifa, Renqiang Zou, Alexey V Zaitsev, Mark Warren, Omer Berenfeld, Edward J Vigmond, L Joshua Leon, Stanley Nattel, José Jalife.   

Abstract

The mechanisms by which Na+-channel blocking antiarrhythmic drugs terminate atrial fibrillation (AF) remain unclear. Classical "leading-circle" theory suggests that Na+-channel blockade should, if anything, promote re-entry. We used an ionically-based mathematical model of vagotonic AF to evaluate the effects of applying pure Na+-current (I(Na)) inhibition during sustained arrhythmia. Under control conditions, AF was maintained by 1 or 2 dominant spiral waves, with fibrillatory propagation at critical levels of action potential duration (APD) dispersion. I(Na) inhibition terminated AF increasingly with increasing block, terminating all AF at 65% block. During 1:1 conduction, I(Na) inhibition reduced APD (by 13% at 4 Hz and 60% block), conduction velocity (by 37%), and re-entry wavelength (by 24%). During AF, I(Na) inhibition increased the size of primary rotors and reduced re-entry rate (eg, dominant frequency decreased by 33% at 60% I(Na) inhibition) while decreasing generation of secondary wavelets by wavebreak. Three mechanisms contributed to I(Na) block-induced AF termination in the model: (1) enlargement of the center of rotation beyond the capacity of the computational substrate; (2) decreased anchoring to functional obstacles, increasing meander and extinction at boundaries; and (3) reduction in the number of secondary wavelets that could provide new primary rotors. Optical mapping in isolated sheep hearts confirmed that tetrodotoxin dose-dependently terminates AF while producing effects qualitatively like those of I(Na) inhibition in the mathematical model. We conclude that pure INa inhibition terminates AF, producing activation changes consistent with previous clinical and experimental observations. These results provide insights into previously enigmatic mechanisms of class I antiarrhythmic drug-induced AF termination. The full text of this article is available online at http://circres.ahajournals.org

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Year:  2005        PMID: 15731458     DOI: 10.1161/01.RES.0000160709.49633.2b

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  49 in total

1.  Structural contributions to fibrillatory rotors in a patient-derived computational model of the atria.

Authors:  Matthew J Gonzales; Kevin P Vincent; Wouter-Jan Rappel; Sanjiv M Narayan; Andrew D McCulloch
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

2.  Pharmacology and Toxicology of Nav1.5-Class 1 anti-arrhythmic drugs.

Authors:  Dan M Roden
Journal:  Card Electrophysiol Clin       Date:  2014-12-01

3.  In silico optimization of atrial fibrillation-selective sodium channel blocker pharmacodynamics.

Authors:  Martin Aguilar-Shardonofsky; Edward J Vigmond; Stanley Nattel; Philippe Comtois
Journal:  Biophys J       Date:  2012-03-06       Impact factor: 4.033

Review 4.  Optical mapping in the developing zebrafish heart.

Authors:  M Khaled Sabeh; Hussein Kekhia; Calum A Macrae
Journal:  Pediatr Cardiol       Date:  2012-03-30       Impact factor: 1.655

5.  Critical mass hypothesis revisited: role of dynamical wave stability in spontaneous termination of cardiac fibrillation.

Authors:  Zhilin Qu
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-08-19       Impact factor: 4.733

6.  Estimating the time scale and anatomical location of atrial fibrillation spontaneous termination in a biophysical model.

Authors:  Laurent Uldry; Vincent Jacquemet; Nathalie Virag; Lukas Kappenberger; Jean-Marc Vesin
Journal:  Med Biol Eng Comput       Date:  2012-01-21       Impact factor: 2.602

Review 7.  Pilsicainide for atrial fibrillation.

Authors:  Koichiro Kumagai; Hideko Nakashima; Hideaki Tojo; Tomoo Yasuda; Hiroo Noguchi; Naomichi Matsumoto; Masahiro Ogawa; Keijiro Saku
Journal:  Drugs       Date:  2006       Impact factor: 9.546

Review 8.  Déjà vu in the theories of atrial fibrillation dynamics.

Authors:  José Jalife
Journal:  Cardiovasc Res       Date:  2010-11-19       Impact factor: 10.787

Review 9.  Mathematical approaches to understanding and imaging atrial fibrillation: significance for mechanisms and management.

Authors:  Natalia A Trayanova
Journal:  Circ Res       Date:  2014-04-25       Impact factor: 17.367

Review 10.  Novel approaches for pharmacological management of atrial fibrillation.

Authors:  Joachim R Ehrlich; Stanley Nattel
Journal:  Drugs       Date:  2009       Impact factor: 9.546

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