The Pathogenesis of COVID-19 Myocardial Injury: An Immunohistochemical Study of Postmortem Biopsies

Camila Hartmann1,2, Anna Flavia Ribeiro Dos Santos Miggiolaro1,2, Jarbas da Silva Motta2

  • 1School of Medicine, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Brazil.

Frontiers in Immunology
|November 22, 2021
PubMed

Insights

COVID-19 myocardial injury stems from local inflammation, not direct heart cell damage. This suggests ongoing monitoring for heart issues post-COVID-19 infection is crucial.

Area of Science:

  • Cardiovascular Pathology
  • Infectious Disease Immunology

Background:

  • Myocardial injury is a significant predictor of mortality in COVID-19 patients.
  • The exact mechanisms driving cardiac involvement in SARS-CoV-2 infection remain largely unknown.
  • Understanding COVID-19's impact on the heart is critical for global health.

Purpose of the Study:

  • To elucidate the pathogenesis of myocardial injury in COVID-19.
  • To identify specific molecular pathways involved in cardiac damage during SARS-CoV-2 infection.

Main Methods:

  • Postmortem minimally invasive autopsies were conducted on six COVID-19 patients.
  • Myocardium samples were analyzed using histology (H&E, toluidine blue) and immunohistochemistry (IHC).
  • Markers assessed included inflammatory cytokines, apoptosis markers, and fibrosis indicators; TUNEL assay was used for endothelial apoptosis.

Main Results:

  • COVID-19 hearts showed severe interstitial edema and increased mast cells.
  • IHC revealed elevated caspase-1, ICAM-1, IL-1β, IL-6, MMP-9, and TNF-α expression.
  • Endothelial apoptosis was confirmed by TUNEL assay; TGF-β and collagen expression indicated potential fibrosis.

Conclusions:

  • COVID-19 myocardial injury is primarily driven by local inflammation and interstitial edema, not direct myocardiocyte attack.
  • Elevated TGF-β and collagen suggest a risk of chronic myocardial fibrosis.
  • Post-recovery clinical surveillance for cardiac dysfunction and arrhythmias in COVID-19 survivors is recommended.
Abstract

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