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Identification of novel antiviral drug candidates using an optimized SARS-CoV-2 phenotypic screening platform.

Authors :
Bojkova D
Reus P
Panosch L
Bechtel M
Rothenburger T
Kandler JD
Pfeiffer A
Wagner JUG
Shumliakivska M
Dimmeler S
Olmer R
Martin U
Vondran FWR
Toptan T
Rothweiler F
Zehner R
Rabenau HF
Osman KL
Pullan ST
Carroll MW
Stack R
Ciesek S
Wass MN
Michaelis M
Cinatl J Jr
Source :
IScience [iScience] 2023 Feb 17; Vol. 26 (2), pp. 105944. Date of Electronic Publication: 2023 Jan 07.
Publication Year :
2023

Abstract

Reliable, easy-to-handle phenotypic screening platforms are needed for the identification of anti-SARS-CoV-2 compounds. Here, we present caspase 3/7 activity as a readout for monitoring the replication of SARS-CoV-2 isolates from different variants, including a remdesivir-resistant strain, and of other coronaviruses in numerous cell culture models, independently of cytopathogenic effect formation. Compared to other models, the Caco-2 subline Caco-2-F03 displayed superior performance. It possesses a stable SARS-CoV-2 susceptibility phenotype and does not produce false-positive hits due to drug-induced phospholipidosis. A proof-of-concept screen of 1,796 kinase inhibitors identified known and novel antiviral drug candidates including inhibitors of phosphoglycerate dehydrogenase (PHGDH), CDC like kinase 1 (CLK-1), and colony stimulating factor 1 receptor (CSF1R). The activity of the PHGDH inhibitor NCT-503 was further increased in combination with the hexokinase II (HK2) inhibitor 2-deoxy-D-glucose, which is in clinical development for COVID-19. In conclusion, caspase 3/7 activity detection in SARS-CoV-2-infected Caco-2-F03 cells provides a simple phenotypic high-throughput screening platform for SARS-CoV-2 drug candidates that reduces false-positive hits.<br />Competing Interests: The authors declare no competing interests.<br /> (© 2023 The Authors.)

Details

Language :
English
ISSN :
2589-0042
Volume :
26
Issue :
2
Database :
MEDLINE
Journal :
IScience
Publication Type :
Academic Journal
Accession number :
36644320
Full Text :
https://doi.org/10.1016/j.isci.2023.105944