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Modeling the Electrophysiological Properties of the Infarct Border Zone
Ventricular arrhythmias (VA) in patients with myocardial infarction (MI) are thought to be associated with structural and electrophysiological remodeling within the infarct border zone (BZ). Personalized computational models have been used to investigate the potential role of the infarct BZ in arrhy...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5900020/ https://www.ncbi.nlm.nih.gov/pubmed/29686626 http://dx.doi.org/10.3389/fphys.2018.00356 |
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author | Mendonca Costa, Caroline Plank, Gernot Rinaldi, Christopher A. Niederer, Steven A. Bishop, Martin J. |
author_facet | Mendonca Costa, Caroline Plank, Gernot Rinaldi, Christopher A. Niederer, Steven A. Bishop, Martin J. |
author_sort | Mendonca Costa, Caroline |
collection | PubMed |
description | Ventricular arrhythmias (VA) in patients with myocardial infarction (MI) are thought to be associated with structural and electrophysiological remodeling within the infarct border zone (BZ). Personalized computational models have been used to investigate the potential role of the infarct BZ in arrhythmogenesis, which still remains incompletely understood. Most recent models have relied on experimental data to assign BZ properties. However, experimental measurements vary significantly resulting in different computational representations of this region. Here, we review experimental data available in the literature to determine the most prominent properties of the infarct BZ. Computational models are then used to investigate the effect of different representations of the BZ on activation and repolarization properties, which may be associated with VA. Experimental data obtained from several animal species and patients with infarct show that BZ properties vary significantly depending on disease's stage, with the early disease stage dominated by ionic remodeling and the chronic stage by structural remodeling. In addition, our simulations show that ionic remodeling in the BZ leads to large repolarization gradients in the vicinity of the scar, which may have a significant impact on arrhythmia simulations, while structural remodeling plays a secondary role. We conclude that it is imperative to faithfully represent the properties of regions of infarction within computational models specific to the disease stage under investigation in order to conduct in silico mechanistic investigations. |
format | Online Article Text |
id | pubmed-5900020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59000202018-04-23 Modeling the Electrophysiological Properties of the Infarct Border Zone Mendonca Costa, Caroline Plank, Gernot Rinaldi, Christopher A. Niederer, Steven A. Bishop, Martin J. Front Physiol Physiology Ventricular arrhythmias (VA) in patients with myocardial infarction (MI) are thought to be associated with structural and electrophysiological remodeling within the infarct border zone (BZ). Personalized computational models have been used to investigate the potential role of the infarct BZ in arrhythmogenesis, which still remains incompletely understood. Most recent models have relied on experimental data to assign BZ properties. However, experimental measurements vary significantly resulting in different computational representations of this region. Here, we review experimental data available in the literature to determine the most prominent properties of the infarct BZ. Computational models are then used to investigate the effect of different representations of the BZ on activation and repolarization properties, which may be associated with VA. Experimental data obtained from several animal species and patients with infarct show that BZ properties vary significantly depending on disease's stage, with the early disease stage dominated by ionic remodeling and the chronic stage by structural remodeling. In addition, our simulations show that ionic remodeling in the BZ leads to large repolarization gradients in the vicinity of the scar, which may have a significant impact on arrhythmia simulations, while structural remodeling plays a secondary role. We conclude that it is imperative to faithfully represent the properties of regions of infarction within computational models specific to the disease stage under investigation in order to conduct in silico mechanistic investigations. Frontiers Media S.A. 2018-04-09 /pmc/articles/PMC5900020/ /pubmed/29686626 http://dx.doi.org/10.3389/fphys.2018.00356 Text en Copyright © 2018 Mendonca Costa, Plank, Rinaldi, Niederer and Bishop. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Mendonca Costa, Caroline Plank, Gernot Rinaldi, Christopher A. Niederer, Steven A. Bishop, Martin J. Modeling the Electrophysiological Properties of the Infarct Border Zone |
title | Modeling the Electrophysiological Properties of the Infarct Border Zone |
title_full | Modeling the Electrophysiological Properties of the Infarct Border Zone |
title_fullStr | Modeling the Electrophysiological Properties of the Infarct Border Zone |
title_full_unstemmed | Modeling the Electrophysiological Properties of the Infarct Border Zone |
title_short | Modeling the Electrophysiological Properties of the Infarct Border Zone |
title_sort | modeling the electrophysiological properties of the infarct border zone |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5900020/ https://www.ncbi.nlm.nih.gov/pubmed/29686626 http://dx.doi.org/10.3389/fphys.2018.00356 |
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