TY - JOUR
T1 - A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
AU - Lourenço, Wesley de Jesus
AU - Reis, Ruy Freitas
AU - Ruiz-Baier, Ricardo
AU - Rocha, Bernardo Martins
AU - dos Santos, Rodrigo Weber
AU - Lobosco, Marcelo
N1 - Funding Information:
This work has been supported by Universidade Federal de Juiz de Fora (UFJF), by a scholarship from “Coordenação de Aperfeiçoamento de Pessoal de Nível Superior” (CAPES) - Brazil - Finance Code 001; by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) - Brazil, Grant numbers 423278/2021-5, 308745/2021-3, 310722/2021-7, and 315267/2020-8; by Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) - Brazil CEX APQ 1359 02830/17 and TEC APQ 03213/17; by the Monash Mathematics Research Fund S05802-3951284; and by the Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Centres “Digital biodesign and personalised healthcare“ No. 075-15-2020-926.
Publisher Copyright:
Copyright © 2022 Lourenço, Reis, Ruiz-Baier, Rocha, dos Santos and Lobosco.
PY - 2022/7/4
Y1 - 2022/7/4
N2 - 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.
AB - 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.
KW - computational immunology
KW - computational modelling
KW - large-strain poroelasticity
KW - myocarditis
KW - oedema formation
UR - http://www.scopus.com/inward/record.url?scp=85134384426&partnerID=8YFLogxK
U2 - 10.3389/fphys.2022.888515
DO - 10.3389/fphys.2022.888515
M3 - Article
AN - SCOPUS:85134384426
SN - 1664-042X
VL - 13
JO - Frontiers in Physiology
JF - Frontiers in Physiology
M1 - 888515
ER -