Literature DB >> 17959689

Effect of gap junction distribution on impulse propagation in a monolayer of myocytes: a model study.

Marjorie Letitia Hubbard1, Wenjun Ying, Craig S Henriquez.   

Abstract

AIMS: To use microstructural computer models to study how four features of myocardial architecture affect propagation: brick wall tissue structures, jutting at cell ends, gap junction distribution and conductance along cell borders, and increased structural discontinuity. METHODS AND
RESULTS: Simulations of longitudinal and transverse plane wave propagation and point propagation were performed in several two-dimensional (2D) microstructural models of adult cardiac tissue. Conduction velocities and maximum upstroke velocities were measured for a range of gap junction conductances and distributions. In tissue models with normal to low connectivity, brick wall architecture and jutting decrease cell-to-cell delay, increase longitudinal conduction velocity, and decrease longitudinal maximum upstroke velocity. Transverse conduction velocity also increases if the overlap or jutting introduces additional lateral (side-to-side) connections between myocytes. Both end-to-end and side-to-side interplicate gap junctions increase longitudinal and transverse conduction velocity; however, side-to-side interplicate gap junctions have the greatest influence on transverse conduction velocity and longitudinal and transverse maximum upstroke velocity.
CONCLUSION: The complex structure of myocardium creates additional pathways of current flow that enhance both longitudinal and transverse propagation. These alternative pathways of current help to maintain conduction as connectivity between cells decreases.

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Year:  2007        PMID: 17959689     DOI: 10.1093/europace/eum203

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  26 in total

1.  Effect of heterogeneities in the cellular microstructure on propagation of the cardiac action potential.

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Journal:  Med Biol Eng Comput       Date:  2012-06-23       Impact factor: 2.602

2.  A computer model of engineered cardiac monolayers.

Authors:  Jong M Kim; Nenad Bursac; Craig S Henriquez
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

3.  Loading effect of fibroblast-myocyte coupling on resting potential, impulse propagation, and repolarization: insights from a microstructure model.

Authors:  Vincent Jacquemet; Craig S Henriquez
Journal:  Am J Physiol Heart Circ Physiol       Date:  2008-02-29       Impact factor: 4.733

4.  Extracellular space attenuates the effect of gap junctional remodeling on wave propagation: a computational study.

Authors:  Candido Cabo; Penelope A Boyden
Journal:  Biophys J       Date:  2009-04-22       Impact factor: 4.033

5.  A simulation study of cellular hypertrophy and connexin lateralization in cardiac tissue.

Authors:  Thomas Seidel; Aida Salameh; Stefan Dhein
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

6.  Laser-guided cell micropatterning system.

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Journal:  Rev Sci Instrum       Date:  2011-01       Impact factor: 1.523

7.  Nonlinear and Stochastic Dynamics in the Heart.

Authors:  Zhilin Qu; Gang Hu; Alan Garfinkel; James N Weiss
Journal:  Phys Rep       Date:  2014-10-10       Impact factor: 25.600

8.  Microscopic variations in interstitial and intracellular structure modulate the distribution of conduction delays and block in cardiac tissue with source-load mismatch.

Authors:  Marjorie Letitia Hubbard; Craig S Henriquez
Journal:  Europace       Date:  2012-11       Impact factor: 5.214

9.  A microstructural model of reentry arising from focal breakthrough at sites of source-load mismatch in a central region of slow conduction.

Authors:  Marjorie Letitia Hubbard; Craig S Henriquez
Journal:  Am J Physiol Heart Circ Physiol       Date:  2014-03-07       Impact factor: 4.733

10.  Illuminating Myocyte-Fibroblast Homotypic and Heterotypic Gap Junction Dynamics Using Dynamic Clamp.

Authors:  Tashalee R Brown; Trine Krogh-Madsen; David J Christini
Journal:  Biophys J       Date:  2016-08-23       Impact factor: 4.033

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