Lab-on-a-chip models of cardiac inflammation

Anna Maria Popovic1, Matthew Ho Cheong Lei2, Amid Shakeri3

  • 1Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario M5S 3E5, Canada.

Biomicrofluidics
|November 1, 2024
PubMed

Insights

Heart-on-a-chip models offer advanced platforms for studying inflammatory cardiomyopathy (myocarditis) and its link to COVID-19. These human-mimetic systems aid in understanding disease mechanisms and screening new cardiac drugs.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Disease Modeling

Background:

  • Cardiovascular diseases, including inflammatory cardiomyopathy (myocarditis), are major global health burdens.
  • Myocarditis, characterized by myocardial inflammation, can lead to heart failure and is a concern in SARS-CoV-2 infections.
  • Existing in vitro models lack the complexity to fully replicate in vivo cardiac disease environments.

Purpose of the Study:

  • To review the potential of heart-on-a-chip technologies for modeling inflammatory cardiomyopathy.
  • To identify key features for accurately recapitulating inflamed myocardium in vitro.
  • To discuss advancements and future directions for clinical translation.

Main Methods:

  • Review of established and emerging conditions of inflamed myocardium.
  • Analysis of heart-on-a-chip technologies integrating microfabrication, microfluidics, and tissue engineering.
  • Focus on incorporating anisotropic geometry, cardiomyocyte maturity, electromechanical function, vascularization, immunity, and patient specificity.

Main Results:

  • Heart-on-a-chip platforms show promise for modeling myocarditis.
  • Key features like contractile geometry, mature cardiomyocytes, and vascularization are crucial for model fidelity.
  • Integration of immune components and patient-specific factors enhances disease modeling.

Conclusions:

  • Heart-on-a-chip technology represents a significant advancement for studying inflammatory cardiac diseases.
  • These models are vital for investigating disease pathogenesis and for pre-clinical drug screening.
  • Further development is needed for full clinical translation and application in personalized medicine.

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