A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis

Wesley de Jesus Lourenço1, Ruy Freitas Reis2, Ricardo Ruiz-Baier3,4,5

  • 1Graduate Program on Computational Modelling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.

Insights

Computational models can now differentiate between localized and diffuse myocarditis (heart muscle inflammation). This research advances understanding of how pathogens and immune responses influence disease patterns, aiding patient treatment strategies.

Area of Science:

  • Computational Biology
  • Cardiovascular Research
  • Immunology

Background:

  • Myocarditis, inflammation of the heart muscle, affects millions globally, causing significant mortality.
  • Key questions remain regarding the localized versus diffuse nature of inflammation and the interplay between pathogens and the immune system.

Purpose of the Study:

  • To adapt a computational model for studying myocardial edema in acute infectious myocarditis.
  • To investigate the factors influencing localized and diffuse myocarditis patterns.

Main Methods:

  • Utilized a poroelastic model based on partial differential equations.
  • Modeled tissue displacement, fluid pressure, fluid phase, and concentrations of pathogens and leukocytes.
  • Performed sensitivity analysis on key model parameters.

Main Results:

  • The poroelastic model successfully simulated both localized and diffuse myocarditis dynamics.
  • Sensitivity analysis identified critical parameters influencing disease progression.
  • The model demonstrated capability in both simplified and complex geometrical domains.

Conclusions:

  • Computational methods offer valuable insights into the mechanisms underlying myocarditis.
  • The adapted model can help elucidate the causes of varied inflammatory patterns in patients.
  • Findings may contribute to improved diagnostic and therapeutic approaches for myocarditis.