ACE2 Expression in Organotypic Human Airway Epithelial Cultures and Airway Biopsies

Qianyu Chen1,2, Shenna Langenbach1,2, Meina Li1,2

  • 1Department of Biochemistry and Pharmacology, School of Biomedical Science, University of Melbourne, Parkville, VIC, Australia.

Insights

Airway organoid and air-liquid interface cultures effectively model SARS-CoV-2 infection and can evaluate COVID-19 therapeutics. These models mimic human airway cells for drug discovery, regardless of patient asthma or smoking history.

Area of Science:

  • * Respiratory Medicine
  • * Cell Biology
  • * Virology

Background:

  • * Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, presents significant therapeutic challenges despite vaccine advancements.
  • * Developing physiologically relevant models is crucial for identifying and testing novel COVID-19 treatments.
  • * Airway epithelial cells are primary targets for SARS-CoV-2, making them essential for in vitro studies.

Purpose of the Study:

  • * To establish and characterize 2D and 3D airway epithelial models for SARS-CoV-2 research.
  • * To evaluate the suitability of these models for investigating therapeutic strategies against COVID-19.
  • * To compare ACE2 expression in different airway models and patient biopsies.

Main Methods:

  • * Cultured human airway basal epithelial cells in 2D, air-liquid interface (ALI), and airway organoid models.
  • * Analyzed cell differentiation and phenotype markers.
  • * Assessed angiotensin-converting enzyme 2 (ACE2), TMPRSS2, and furin expression in models and human airway biopsies from diverse donors.

Main Results:

  • * ALI and airway organoid cultures accurately represented ACE2 and TMPRSS2 mRNA levels found in native bronchial cells.
  • * ACE2 was primarily localized to ciliated and basal epithelial cells across biopsies and models.
  • * Asthma, smoking, and cystic fibrosis did not significantly alter ACE2 expression or distribution in airway tissues.

Conclusions:

  • * Organotypic and ALI airway cultures serve as practical and valuable tools for SARS-CoV-2 infection studies.
  • * These models are suitable for evaluating the clinical potential of therapeutics for COVID-19.
  • * The characterized models provide a robust platform for advancing COVID-19 drug discovery.

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