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A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis

Myocarditis is a general set of mechanisms that manifest themselves into the inflammation of the heart muscle. In 2017, more than 3 million people were affected by this disease worldwide, causing about 47,000 deaths. Many aspects of the origin of this disease are well known, but several important qu...

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Autores principales: Lourenço, Wesley de Jesus, Reis, Ruy Freitas, Ruiz-Baier, Ricardo, Rocha, Bernardo Martins, dos Santos, Rodrigo Weber, Lobosco, Marcelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289286/
https://www.ncbi.nlm.nih.gov/pubmed/35860652
http://dx.doi.org/10.3389/fphys.2022.888515
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author Lourenço, Wesley de Jesus
Reis, Ruy Freitas
Ruiz-Baier, Ricardo
Rocha, Bernardo Martins
dos Santos, Rodrigo Weber
Lobosco, Marcelo
author_facet Lourenço, Wesley de Jesus
Reis, Ruy Freitas
Ruiz-Baier, Ricardo
Rocha, Bernardo Martins
dos Santos, Rodrigo Weber
Lobosco, Marcelo
author_sort Lourenço, Wesley de Jesus
collection PubMed
description Myocarditis is a general set of mechanisms that manifest themselves into the inflammation of the heart muscle. In 2017, more than 3 million people were affected by this disease worldwide, causing about 47,000 deaths. Many aspects of the origin of this disease are well known, but several important questions regarding the disease remain open. One of them is why some patients develop a significantly localised inflammation while others develop a much more diffuse inflammation, reaching across large portions of the heart. Furthermore, the specific role of the pathogenic agent that causes inflammation as well as the interaction with the immune system in the progression of the disease are still under discussion. Providing answers to these crucial questions can have an important impact on patient treatment. In this scenario, computational methods can aid specialists to understand better the relationships between pathogens and the immune system and elucidate why some patients develop diffuse myocarditis. This paper alters a recently developed model to study the myocardial oedema formation in acute infectious myocarditis. The model describes the finite deformation regime using partial differential equations to represent tissue displacement, fluid pressure, fluid phase, and the concentrations of pathogens and leukocytes. A sensitivity analysis was performed to understand better the influence of the most relevant model parameters on the disease dynamics. The results showed that the poroelastic model could reproduce local and diffuse myocarditis dynamics in simplified and complex geometrical domains.
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spelling pubmed-92892862022-07-19 A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis Lourenço, Wesley de Jesus Reis, Ruy Freitas Ruiz-Baier, Ricardo Rocha, Bernardo Martins dos Santos, Rodrigo Weber Lobosco, Marcelo Front Physiol Physiology Myocarditis is a general set of mechanisms that manifest themselves into the inflammation of the heart muscle. In 2017, more than 3 million people were affected by this disease worldwide, causing about 47,000 deaths. Many aspects of the origin of this disease are well known, but several important questions regarding the disease remain open. One of them is why some patients develop a significantly localised inflammation while others develop a much more diffuse inflammation, reaching across large portions of the heart. Furthermore, the specific role of the pathogenic agent that causes inflammation as well as the interaction with the immune system in the progression of the disease are still under discussion. Providing answers to these crucial questions can have an important impact on patient treatment. In this scenario, computational methods can aid specialists to understand better the relationships between pathogens and the immune system and elucidate why some patients develop diffuse myocarditis. This paper alters a recently developed model to study the myocardial oedema formation in acute infectious myocarditis. The model describes the finite deformation regime using partial differential equations to represent tissue displacement, fluid pressure, fluid phase, and the concentrations of pathogens and leukocytes. A sensitivity analysis was performed to understand better the influence of the most relevant model parameters on the disease dynamics. The results showed that the poroelastic model could reproduce local and diffuse myocarditis dynamics in simplified and complex geometrical domains. Frontiers Media S.A. 2022-07-04 /pmc/articles/PMC9289286/ /pubmed/35860652 http://dx.doi.org/10.3389/fphys.2022.888515 Text en Copyright © 2022 Lourenço, Reis, Ruiz-Baier, Rocha, dos Santos and Lobosco. https://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(s) 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
Lourenço, Wesley de Jesus
Reis, Ruy Freitas
Ruiz-Baier, Ricardo
Rocha, Bernardo Martins
dos Santos, Rodrigo Weber
Lobosco, Marcelo
A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
title A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
title_full A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
title_fullStr A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
title_full_unstemmed A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
title_short A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
title_sort poroelastic approach for modelling myocardial oedema in acute myocarditis
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289286/
https://www.ncbi.nlm.nih.gov/pubmed/35860652
http://dx.doi.org/10.3389/fphys.2022.888515
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