A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis.

computational immunology computational modelling large-strain poroelasticity myocarditis oedema formation

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2022
Historique:
received: 02 03 2022
accepted: 27 05 2022
entrez: 21 7 2022
pubmed: 22 7 2022
medline: 22 7 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35860652
doi: 10.3389/fphys.2022.888515
pii: 888515
pmc: PMC9289286
doi:

Types de publication

Journal Article

Langues

eng

Pagination

888515

Informations de copyright

Copyright © 2022 Lourenço, Reis, Ruiz-Baier, Rocha, dos Santos and Lobosco.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Wesley de Jesus Lourenço (WJ)

Graduate Program on Computational Modelling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Ruy Freitas Reis (RF)

Department of Computer Science, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Ricardo Ruiz-Baier (R)

School of Mathematics and Victorian Heart Institute, Monash University, Melbourne, VIC, Australia.
Research Core on Natural and Exact Sciences, Universidad Adventista de Chile, Chillán, Chile.
World-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, Moscow, Russia.

Bernardo Martins Rocha (BM)

Graduate Program on Computational Modelling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Department of Computer Science, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Rodrigo Weber Dos Santos (RW)

Graduate Program on Computational Modelling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Department of Computer Science, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Marcelo Lobosco (M)

Graduate Program on Computational Modelling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Department of Computer Science, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Classifications MeSH