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
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
888515Informations 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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