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Abstract
Pulmonary sequelae following COVID-19 pneumonia have been emerging as a challenge; however, suitable cell sources for studying COVID-19 mechanisms and therapeutics are currently lacking. In this paper, we present a standardized primary alveolar cell culture method for establishing a human alveolar epithelium model that can recapitulate viral infection and cellular plasticity. The alveolar model is infected with a SARS-CoV-2 pseudovirus, and the clinically relevant features of the viral entry into the alveolar type-I/II cells, cytokine production activation, and pulmonary surfactant destruction are reproduced. For this damaged alveolar model, we find that the inhibition of Wnt signaling via XAV939 substantially improves alveolar repair function and prevents subsequent pulmonary fibrosis. Thus, the proposed alveolar cell culture strategy exhibits potential for the identification of pathogenesis and therapeutics in basic and translational research.
Yang et al. present an alveolar cell culture method that utilizes primary human alveolar epithelial cells, culturing cells in a small-molecule cocktail supplemented media. The authors show that the longevity of the primary cells culture can be expanded, and study human alveolar development, infection, injury repair, while demonstrating its use for SARS-CoV-2 infection.
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1 National Yang Ming Chiao Tung University, Department of Electrical and Computer Engineering, College of Electrical and Computer Engineering, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017); National Yang Ming Chiao Tung University, Institute of Biomedical Engineering, College of Electrical and Computer Engineering, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017)
2 National Yang Ming Chiao Tung University, Institute of Biomedical Engineering, College of Electrical and Computer Engineering, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017)
3 National Yang Ming Chiao Tung University, Department of Electrical and Computer Engineering, College of Electrical and Computer Engineering, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017)
4 University of Wollongong, ARC Centre of Excellence for Electromaterials Science, Intelligent Polymer Research Institute, Wollongong, Australia (GRID:grid.1007.6) (ISNI:0000 0004 0486 528X)
5 Food Industry Research and Development Institute, Bioresource Collection and Research Center, Hsinchu, Taiwan (GRID:grid.417912.8) (ISNI:0000 0000 9608 6611)
6 National Yang Ming Chiao Tung University, Department of Electrical and Computer Engineering, College of Electrical and Computer Engineering, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017); National Yang Ming Chiao Tung University, Institute of Biomedical Engineering, College of Electrical and Computer Engineering, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017); National Yang Ming Chiao Tung University, Department of Biological Science and Technology, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017)