Literature DB >> 18374394

The role of mechanoelectric feedback in vulnerability to electric shock.

Weihui Li1, Viatcheslav Gurev, Andrew D McCulloch, Natalia A Trayanova.   

Abstract

Experimental and clinical studies have shown that ventricular dilatation is associated with increased arrhythmogenesis and elevated defibrillation threshold; however, the underlying mechanisms remain poorly understood. The goal of the present study was to test the hypothesis that (1) stretch-activated channel (SAC) recruitment and (2) geometrical deformations in organ shape and fiber architecture lead to increased arrhythmogenesis by electric shocks following acute ventricular dilatation. To elucidate the contribution of these two factors, the study employed, for the first time, a combined electro-mechanical simulation approach. Acute dilatation was simulated in a model of rabbit ventricular mechanics by raising the LV end-diastolic pressure from 0.6 (control) to 4.2 kPa (dilated). The output of the mechanics model was used in the electrophysiological model. Vulnerability to shocks was examined in the control, the dilated ventricles, and in the dilated ventricles that also incorporated currents through SAC as a function of local strain, by constructing vulnerability grids. Results showed that dilatation-induced deformation alone decreased upper limit of vulnerability (ULV) slightly and did not result in increased vulnerability. With SAC recruitment in the dilated ventricles, the number of shock-induced arrhythmia episodes increased by 37% (from 41 to 56) and the lower limit of vulnerability (LLV) decreased from 9 to 7 V/cm, while ULV did not change. The heterogeneous activation of SAC caused by the heterogeneous fiber strain in the ventricular walls was the main reason for increased vulnerability to electric shocks since it caused dispersion of electrophysiological properties in the tissue, resulting in postshock unidirectional block and establishment of reentry.

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Year:  2008        PMID: 18374394      PMCID: PMC2517254          DOI: 10.1016/j.pbiomolbio.2008.02.020

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


  73 in total

1.  Mechanoelectric feedback in a model of the passively inflated left ventricle.

Authors:  F J Vetter; A D McCulloch
Journal:  Ann Biomed Eng       Date:  2001-05       Impact factor: 3.934

2.  Regional ventricular wall thickening reflects changes in cardiac fiber and sheet structure during contraction: quantification with diffusion tensor MRI.

Authors:  Junjie Chen; Wei Liu; Huiying Zhang; Liz Lacy; Xiaoxia Yang; Sheng-Kwei Song; Samuel A Wickline; Xin Yu
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-11       Impact factor: 4.733

3.  Effects of pacing rate and timing of defibrillation shock on the relation between the defibrillation threshold and the upper limit of vulnerability in open chest dogs.

Authors:  P S Chen; G K Feld; M M Mower; B B Peters
Journal:  J Am Coll Cardiol       Date:  1991-11-15       Impact factor: 24.094

4.  Electroporation and shock-induced transmembrane potential in a cardiac fiber during defibrillation strength shocks.

Authors:  K A DeBruin; W Krassowska
Journal:  Ann Biomed Eng       Date:  1998 Jul-Aug       Impact factor: 3.934

5.  Modeling defibrillation: effects of fiber curvature.

Authors:  N Trayanova; K Skouibine
Journal:  J Electrocardiol       Date:  1998       Impact factor: 1.438

6.  Transmembrane voltage changes produced by real and virtual electrodes during monophasic defibrillation shock delivered by an implantable electrode.

Authors:  I R Efimov; Y N Cheng; M Biermann; D R Van Wagoner; T N Mazgalev; P J Tchou
Journal:  J Cardiovasc Electrophysiol       Date:  1997-09

7.  A generalized activating function for predicting virtual electrodes in cardiac tissue.

Authors:  E A Sobie; R C Susil; L Tung
Journal:  Biophys J       Date:  1997-09       Impact factor: 4.033

8.  Gadolinium decreases stretch-induced vulnerability to atrial fibrillation.

Authors:  F Bode; A Katchman; R L Woosley; M R Franz
Journal:  Circulation       Date:  2000-05-09       Impact factor: 29.690

9.  Current injection into a two-dimensional anisotropic bidomain.

Authors:  N G Sepulveda; B J Roth; J P Wikswo
Journal:  Biophys J       Date:  1989-05       Impact factor: 4.033

10.  Effect of rapid pacing and T-wave scanning on the relation between the defibrillation and upper-limit-of-vulnerability dose-response curves.

Authors:  R A Malkin; S F Idriss; R G Walker; R E Ideker
Journal:  Circulation       Date:  1995-09-01       Impact factor: 29.690

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  13 in total

1.  An extended bidomain framework incorporating multiple cell types.

Authors:  Martin L Buist; Yong Cheng Poh
Journal:  Biophys J       Date:  2010-07-07       Impact factor: 4.033

2.  The Mechanical Bidomain Model: A Review.

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

Review 3.  Cardiac resynchronization: insight from experimental and computational models.

Authors:  R C P Kerckhoffs; J Lumens; K Vernooy; J H Omens; L J Mulligan; T Delhaas; T Arts; A D McCulloch; F W Prinzen
Journal:  Prog Biophys Mol Biol       Date:  2008-03-05       Impact factor: 3.667

4.  Increased cell membrane capacitance is the dominant mechanism of stretch-dependent conduction slowing in the rabbit heart: a computational study.

Authors:  Bernardo L de Oliveira; Emily R Pfeiffer; Joakim Sundnes; Samuel T Wall; Andrew D McCulloch
Journal:  Cell Mol Bioeng       Date:  2015-03-24       Impact factor: 2.321

Review 5.  Image-based models of cardiac structure in health and disease.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Anton J Prassl; Junjie Chen; Ferdinand Kickinger; Peter Kohl; Gernot Plank; Natalia Trayanova
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Jul-Aug

Review 6.  Whole-heart modeling: applications to cardiac electrophysiology and electromechanics.

Authors:  Natalia A Trayanova
Journal:  Circ Res       Date:  2011-01-07       Impact factor: 17.367

Review 7.  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 8.  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 9.  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

10.  Effects of mechano-electric feedback on scroll wave stability in human ventricular fibrillation.

Authors:  Yuxuan Hu; Viatcheslav Gurev; Jason Constantino; Jason D Bayer; Natalia A Trayanova
Journal:  PLoS One       Date:  2013-04-03       Impact factor: 3.240

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