Literature DB >> 15851121

Effect of stretch-activated channels on defibrillation efficacy.

Natalia Trayanova1, Weihui Li, James Eason, Peter Kohl.   

Abstract

OBJECTIVES: This study aims to explore whether defibrillation threshold elevation could be caused by sustained recruitment of stretch-activated channels (SACs) and, if so, what are the underlying mechanisms.
BACKGROUND: Clinical studies have demonstrated that patients with dilated and overloaded ventricles have elevated defibrillation threshold. Prolonged ventricular stretch has been suggested as a possible factor in defibrillation threshold elevation; however, its role remains unclear.
METHODS: A two-dimensional finite-element bidomain model of ventricular defibrillation was used in the study. Retaining the geometrical parameters in the model, defibrillation dose-response curves were constructed with and without SACs to isolate the effect of stretch on shock outcome.
RESULTS: Simulations demonstrate that SAC activation leads to flattening of dose-response curve and increases in defibrillation threshold and effective dose for defibrillation by 31.4% and 18.8%, respectively. Examination of the electrophysiologic properties associated with sustained SAC recruitment pinpointed the main mechanisms responsible for the decrease in defibrillation efficacy. The lower conduction velocity of the shock-induced break excitations and the more positive transmembrane potential at the end of the effective refractory period in the tissue with SACs are proposed as main reasons for defibrillation threshold elevation.
CONCLUSIONS: Demonstrating the contribution of SACs to defibrillation threshold elevation identifies SACs as an attractive pharmaceutical target to reduce defibrillation threshold in patients with dilated cardiomyopathy.

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Year:  2004        PMID: 15851121     DOI: 10.1016/j.hrthm.2004.01.002

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  19 in total

1.  Mechano-electric feedback in one-dimensional model of myocardium.

Authors:  Nathalie A Vikulova; Leonid B Katsnelson; Alexander G Kursanov; Olga Solovyova; Vladimir S Markhasin
Journal:  J Math Biol       Date:  2015-12-19       Impact factor: 2.259

2.  Cardiac defibrillation and the role of mechanoelectric feedback in postshock arrhythmogenesis.

Authors:  Viatcheslav Gurev; Mary M Maleckar; Natalia A Trayanova
Journal:  Ann N Y Acad Sci       Date:  2006-10       Impact factor: 5.691

3.  A mathematical model of the slow force response to stretch in rat ventricular myocytes.

Authors:  Steven A Niederer; Nicolas P Smith
Journal:  Biophys J       Date:  2007-03-16       Impact factor: 4.033

4.  Drift and breakup of spiral waves in reaction-diffusion-mechanics systems.

Authors:  A V Panfilov; R H Keldermann; M P Nash
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-27       Impact factor: 11.205

5.  The Mechanical Bidomain Model: A Review.

Authors:  Bradley J Roth
Journal:  ISRN Tissue Eng       Date:  2013-01-01

6.  The role of mechanoelectric feedback in vulnerability to electric shock.

Authors:  Weihui Li; Viatcheslav Gurev; Andrew D McCulloch; Natalia A Trayanova
Journal:  Prog Biophys Mol Biol       Date:  2008-02-16       Impact factor: 3.667

Review 7.  How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patients.

Authors:  Natalia A Trayanova; Ashish N Doshi; Adityo Prakosa
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-01-09

Review 8.  Models of stretch-activated ventricular arrhythmias.

Authors:  Natalia A Trayanova; Jason Constantino; Viatcheslav Gurev
Journal:  J Electrocardiol       Date:  2010-07-17       Impact factor: 1.438

Review 9.  Computational rabbit models to investigate the initiation, perpetuation, and termination of ventricular arrhythmia.

Authors:  Hermenegild J Arevalo; Patrick M Boyle; Natalia A Trayanova
Journal:  Prog Biophys Mol Biol       Date:  2016-06-19       Impact factor: 3.667

Review 10.  Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.

Authors:  Natalia A Trayanova; Patrick M Boyle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-12-06
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