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Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype
Cardiac growth and remodeling (G&R) refers to structural changes in myocardial tissue in response to chronic alterations in loading conditions. One such condition is pressure overload where elevated wall stresses stimulate the growth in cardiomyocyte thickness, associated with a phenotype of con...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311197/ https://www.ncbi.nlm.nih.gov/pubmed/32058078 http://dx.doi.org/10.1016/j.actbio.2020.02.010 |
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author | Niestrawska, Justyna A. Augustin, Christoph M. Plank, Gernot |
author_facet | Niestrawska, Justyna A. Augustin, Christoph M. Plank, Gernot |
author_sort | Niestrawska, Justyna A. |
collection | PubMed |
description | Cardiac growth and remodeling (G&R) refers to structural changes in myocardial tissue in response to chronic alterations in loading conditions. One such condition is pressure overload where elevated wall stresses stimulate the growth in cardiomyocyte thickness, associated with a phenotype of concentric hypertrophy at the organ scale, and promote fibrosis. The initial hypertrophic response can be considered adaptive and beneficial by favoring myocyte survival, but over time if pressure overload conditions persist, maladaptive mechanisms favoring cell death and fibrosis start to dominate, ultimately mediating the transition towards an overt heart failure phenotype. The underlying mechanisms linking biological factors at the myocyte level to biomechanical factors at the systemic and organ level remain poorly understood. Computational models of G&R show high promise as a unique framework for providing a quantitative link between myocardial stresses and strains at the organ scale to biological regulatory processes at the cellular level which govern the hypertrophic response. However, microstructurally motivated, rigorously validated computational models of G&R are still in their infancy. This article provides an overview of the current state-of-the-art of computational models to study cardiac G&R. The microstructure and mechanosensing/mechanotransduction within cells of the myocardium is discussed and quantitative data from previous experimental and clinical studies is summarized. We conclude with a discussion of major challenges and possible directions of future research that can advance the current state of cardiac G&R computational modeling. |
format | Online Article Text |
id | pubmed-7311197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73111972020-06-23 Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype Niestrawska, Justyna A. Augustin, Christoph M. Plank, Gernot Acta Biomater Article Cardiac growth and remodeling (G&R) refers to structural changes in myocardial tissue in response to chronic alterations in loading conditions. One such condition is pressure overload where elevated wall stresses stimulate the growth in cardiomyocyte thickness, associated with a phenotype of concentric hypertrophy at the organ scale, and promote fibrosis. The initial hypertrophic response can be considered adaptive and beneficial by favoring myocyte survival, but over time if pressure overload conditions persist, maladaptive mechanisms favoring cell death and fibrosis start to dominate, ultimately mediating the transition towards an overt heart failure phenotype. The underlying mechanisms linking biological factors at the myocyte level to biomechanical factors at the systemic and organ level remain poorly understood. Computational models of G&R show high promise as a unique framework for providing a quantitative link between myocardial stresses and strains at the organ scale to biological regulatory processes at the cellular level which govern the hypertrophic response. However, microstructurally motivated, rigorously validated computational models of G&R are still in their infancy. This article provides an overview of the current state-of-the-art of computational models to study cardiac G&R. The microstructure and mechanosensing/mechanotransduction within cells of the myocardium is discussed and quantitative data from previous experimental and clinical studies is summarized. We conclude with a discussion of major challenges and possible directions of future research that can advance the current state of cardiac G&R computational modeling. 2020-04-01 2020-02-11 /pmc/articles/PMC7311197/ /pubmed/32058078 http://dx.doi.org/10.1016/j.actbio.2020.02.010 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Article Niestrawska, Justyna A. Augustin, Christoph M. Plank, Gernot Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype |
title | Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype |
title_full | Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype |
title_fullStr | Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype |
title_full_unstemmed | Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype |
title_short | Computational modeling of cardiac growth and remodeling in pressure overloaded hearts—Linking microstructure to organ phenotype |
title_sort | computational modeling of cardiac growth and remodeling in pressure overloaded hearts—linking microstructure to organ phenotype |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311197/ https://www.ncbi.nlm.nih.gov/pubmed/32058078 http://dx.doi.org/10.1016/j.actbio.2020.02.010 |
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