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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2017-08-01
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Online Access: | https://doi.org/10.1038/s41598-017-07653-3 |
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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 ninakudryashova virtualcardiacmonolayersforelectricalwavepropagation AT valeriyatsvelaya virtualcardiacmonolayersforelectricalwavepropagation AT konstantinagladze virtualcardiacmonolayersforelectricalwavepropagation AT alexanderpanfilov virtualcardiacmonolayersforelectricalwavepropagation |
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