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High-throughput human primary cell-based airway model for evaluating influenza, coronavirus, or other respiratory viruses in vitro

Authors :
Jeffrey T. Borenstein
E E Marr
Robert W. Finberg
Jenna L. Balestrini
Jehan Alladina
Gaibler R
Hesham Azizgolshani
C A Wong
Brett C. Isenberg
R Fennell Fezzie
T J Mulhern
Benjamin D. Medoff
D M Burns
R J Luu
R. Maloney
Jonathan R. Coppeta
Ashley L. Gard
Pengpeng Liu
B P Cain
Jennifer P. Wang
C. R. Miller
Source :
Scientific Reports, Scientific Reports, Vol 11, Iss 1, Pp 1-18 (2021)
Publication Year :
2021

Abstract

Influenza and other respiratory viruses present a significant threat to public health, national security, and the world economy, and can lead to the emergence of global pandemics such as from COVID-19. A barrier to the development of effective therapeutics is the absence of a robust and predictive preclinical model, with most studies relying on a combination of in vitro screening with immortalized cell lines and low-throughput animal models. Here, we integrate human primary airway epithelial cells into a custom-engineered 96-device platform (PREDICT96-ALI) in which tissues are cultured in an array of microchannel-based culture chambers at an air–liquid interface, in a configuration compatible with high resolution in-situ imaging and real-time sensing. We apply this platform to influenza A virus and coronavirus infections, evaluating viral infection kinetics and antiviral agent dosing across multiple strains and donor populations of human primary cells. Human coronaviruses HCoV-NL63 and SARS-CoV-2 enter host cells via ACE2 and utilize the protease TMPRSS2 for spike protein priming, and we confirm their expression, demonstrate infection across a range of multiplicities of infection, and evaluate the efficacy of camostat mesylate, a known inhibitor of HCoV-NL63 infection. This new capability can be used to address a major gap in the rapid assessment of therapeutic efficacy of small molecules and antiviral agents against influenza and other respiratory viruses including coronaviruses.

Details

ISSN :
20452322
Volume :
11
Issue :
1
Database :
OpenAIRE
Journal :
Scientific reports
Accession number :
edsair.doi.dedup.....07499b78078ff405772befd238e1a40d