Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Myocarditis I: Introduction01:21

Myocarditis I: Introduction

25
Myocarditis is inflammation of the myocardium, which is the muscular layer of the heart.EtiologyMyocarditis has a diverse etiology, including a wide range of infectious and non-infectious causes:Infectious CausesViral: Common viruses include Coxsackie A and B, adenovirus, parvovirus B19, enteroviruses, and influenza A.Bacterial: Examples include infections caused by Streptococcus, Staphylococcus, and Mycoplasma species.Rickettsial: Infections like Rocky Mountain spotted fever can result in...
25
Myocarditis II: Clinical Features and Diagnostic Tests01:27

Myocarditis II: Clinical Features and Diagnostic Tests

20
Myocarditis is an inflammation of the heart muscle. The symptoms vary widely, encompassing asymptomatic presentations to severe, acute manifestations.Clinical PresentationAsymptomatic cases: In some instances, myocarditis may be asymptomatic, with the infection resolving without intervention. These cases often go undetected unless discovered incidentally through diagnostic imaging or tests conducted for other reasons.General Early Symptoms: Early symptoms of myocarditis are non-specific and can...
20

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multiscale stochastic modeling for calcium dynamics in cardiac electrophysiology: assessing whole-cell model reliability under phosphorylation and LCC downregulation.

Frontiers in network physiology·2026
Same author

Toward cardiac electrophysiology digital twins with an efficient open source scalable solver on GPU clusters.

Scientific reports·2026
Same author

Numerically refined reaction conditions for stochastic simulation of nonelementary trimolecular reactions between closest particles.

Physical review. E·2025
Same author

Reproduction of antibody levels following five distinct ChAdOx1 nCoV-19 vaccine regimens through virtual patient cohorts.

Computers in biology and medicine·2025
Same author

An open-source software for building and simulating ordinary differential equation models in biology.

PloS one·2025
Same author

A Coupled Model of the Cardiovascular and Immune Systems to Analyze the Effects of COVID-19 Infection.

Biotech (Basel (Switzerland))·2025

Related Experiment Video

Updated: Sep 4, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.6K

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.

Frontiers in Physiology
|July 21, 2022
PubMed
Summary

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.

Keywords:
computational immunologycomputational modellinglarge-strain poroelasticitymyocarditisoedema formation

More Related Videos

Primary Outcome Assessment in a Pig Model of Acute Myocardial Infarction
14:19

Primary Outcome Assessment in a Pig Model of Acute Myocardial Infarction

Published on: October 14, 2016

11.6K
Tissue Preparation Techniques for Contrast-Enhanced Micro Computed Tomography Imaging of Large Mammalian Cardiac Models with Chronic Disease
12:15

Tissue Preparation Techniques for Contrast-Enhanced Micro Computed Tomography Imaging of Large Mammalian Cardiac Models with Chronic Disease

Published on: February 8, 2022

2.6K

Related Experiment Videos

Last Updated: Sep 4, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

6.6K
Primary Outcome Assessment in a Pig Model of Acute Myocardial Infarction
14:19

Primary Outcome Assessment in a Pig Model of Acute Myocardial Infarction

Published on: October 14, 2016

11.6K
Tissue Preparation Techniques for Contrast-Enhanced Micro Computed Tomography Imaging of Large Mammalian Cardiac Models with Chronic Disease
12:15

Tissue Preparation Techniques for Contrast-Enhanced Micro Computed Tomography Imaging of Large Mammalian Cardiac Models with Chronic Disease

Published on: February 8, 2022

2.6K

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.