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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Autores principales: Nina Kudryashova, Valeriya Tsvelaya, Konstantin Agladze, Alexander Panfilov
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/e8591d80c84f41ce93e998606387be65
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spelling oai:doaj.org-article:e8591d80c84f41ce93e998606387be652021-12-02T11:40:13ZVirtual cardiac monolayers for electrical wave propagation10.1038/s41598-017-07653-32045-2322https://doaj.org/article/e8591d80c84f41ce93e998606387be652017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07653-3https://doaj.org/toc/2045-2322Abstract 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.Nina KudryashovaValeriya TsvelayaKonstantin AgladzeAlexander PanfilovNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-19 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Nina Kudryashova
Valeriya Tsvelaya
Konstantin Agladze
Alexander Panfilov
Virtual cardiac monolayers for electrical wave propagation
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.
format article
author Nina Kudryashova
Valeriya Tsvelaya
Konstantin Agladze
Alexander Panfilov
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 Portfolio
publishDate 2017
url https://doaj.org/article/e8591d80c84f41ce93e998606387be65
work_keys_str_mv AT ninakudryashova virtualcardiacmonolayersforelectricalwavepropagation
AT valeriyatsvelaya virtualcardiacmonolayersforelectricalwavepropagation
AT konstantinagladze virtualcardiacmonolayersforelectricalwavepropagation
AT alexanderpanfilov virtualcardiacmonolayersforelectricalwavepropagation
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