Virtual cardiac monolayers for electrical wave propagation

Abstract The complex structure of cardiac tissue is considered to be one of the main determinants of an arrhythmogenic substrate. This study is aimed at developing the first mathematical model to describe the formation of cardiac tissue, using a joint in silico–in vitro approach. First, we performed...

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Main Authors: Nina Kudryashova, Valeriya Tsvelaya, Konstantin Agladze, Alexander Panfilov
Format: Article
Language:English
Published: Nature Publishing Group 2017-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-07653-3
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spelling doaj-e8591d80c84f41ce93e998606387be652020-12-08T02:19:46ZengNature Publishing GroupScientific Reports2045-23222017-08-017111910.1038/s41598-017-07653-3Virtual cardiac monolayers for electrical wave propagationNina Kudryashova0Valeriya Tsvelaya1Konstantin Agladze2Alexander Panfilov3Department of Physics and Astronomy, Gent UniversityLaboratory of Biophysics of Excitable Systems, Moscow Institute of Physics and TechnologyLaboratory of Biophysics of Excitable Systems, Moscow Institute of Physics and TechnologyDepartment of Physics and Astronomy, Gent UniversityAbstract The complex structure of cardiac tissue is considered to be one of the main determinants of an arrhythmogenic substrate. This study is aimed at developing the first mathematical model to describe the formation of cardiac tissue, using a joint in silico–in vitro approach. First, we performed experiments under various conditions to carefully characterise the morphology of cardiac tissue in a culture of neonatal rat ventricular cells. We considered two cell types, namely, cardiomyocytes and fibroblasts. Next, we proposed a mathematical model, based on the Glazier-Graner-Hogeweg model, which is widely used in tissue growth studies. The resultant tissue morphology was coupled to the detailed electrophysiological Korhonen-Majumder model for neonatal rat ventricular cardiomyocytes, in order to study wave propagation. The simulated waves had the same anisotropy ratio and wavefront complexity as those in the experiment. Thus, we conclude that our approach allows us to reproduce the morphological and physiological properties of cardiac tissue.https://doi.org/10.1038/s41598-017-07653-3
collection DOAJ
language English
format Article
sources DOAJ
author Nina Kudryashova
Valeriya Tsvelaya
Konstantin Agladze
Alexander Panfilov
spellingShingle Nina Kudryashova
Valeriya Tsvelaya
Konstantin Agladze
Alexander Panfilov
Virtual cardiac monolayers for electrical wave propagation
Scientific Reports
author_facet Nina Kudryashova
Valeriya Tsvelaya
Konstantin Agladze
Alexander Panfilov
author_sort Nina Kudryashova
title Virtual cardiac monolayers for electrical wave propagation
title_short Virtual cardiac monolayers for electrical wave propagation
title_full Virtual cardiac monolayers for electrical wave propagation
title_fullStr Virtual cardiac monolayers for electrical wave propagation
title_full_unstemmed Virtual cardiac monolayers for electrical wave propagation
title_sort virtual cardiac monolayers for electrical wave propagation
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-08-01
description Abstract The complex structure of cardiac tissue is considered to be one of the main determinants of an arrhythmogenic substrate. This study is aimed at developing the first mathematical model to describe the formation of cardiac tissue, using a joint in silico–in vitro approach. First, we performed experiments under various conditions to carefully characterise the morphology of cardiac tissue in a culture of neonatal rat ventricular cells. We considered two cell types, namely, cardiomyocytes and fibroblasts. Next, we proposed a mathematical model, based on the Glazier-Graner-Hogeweg model, which is widely used in tissue growth studies. The resultant tissue morphology was coupled to the detailed electrophysiological Korhonen-Majumder model for neonatal rat ventricular cardiomyocytes, in order to study wave propagation. The simulated waves had the same anisotropy ratio and wavefront complexity as those in the experiment. Thus, we conclude that our approach allows us to reproduce the morphological and physiological properties of cardiac tissue.
url https://doi.org/10.1038/s41598-017-07653-3
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AT konstantinagladze virtualcardiacmonolayersforelectricalwavepropagation
AT alexanderpanfilov virtualcardiacmonolayersforelectricalwavepropagation
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