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

Denisa Bojkova, Philipp Reus, Leona Panosch, Marco Bechtel, Tamara Rothenburger, Joshua D. Kandler, Annika Pfeiffer, Julian U.G. Wagner, Mariana Shumliakivska, Stefanie Dimmeler, Ruth Olmer, Ulrich Martin, Florian W.R. Vondran, Tuna Toptan, Florian Rothweiler, Richard Zehner, Holger F. Rabenau, Karen L. Osman, Steven T. Pullan, Miles W. CarrollRichard Stack, Sandra Ciesek, Mark N. Wass, Martin Michaelis*, Jindrich Cinatl*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
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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.

Original languageEnglish
Article number105944
JournaliScience
Volume26
Issue number2
Early online date11 Jan 2023
DOIs
Publication statusPublished - 17 Feb 2023

Bibliographical note

Funding Information:nWe thank Kerstin Euler, Sebastian Grothe, and Lena Stegman for their technical assistance. This work was supported by the Frankfurter Stiftung für krebskranke Kinder , the Goethe-Corona-Fonds, BMBF (COVID-Protect), the Corona Accelerated R&D in Europe ( CARE ) project from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 101005077 , and the BBSRC (SoCoBio DTP training program).

Open Access: This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Publisher Copyright: © 2023 The Authors.

Citation: Denisa Bojkova, Philipp Reus, Leona Panosch, Marco Bechtel, Tamara Rothenburger, Joshua D. Kandler, Annika Pfeiffer, Julian U.G. Wagner, Mariana Shumliakivska, Stefanie Dimmeler, Ruth Olmer, Ulrich Martin, Florian W.R. Vondran, Tuna Toptan, Florian Rothweiler, Richard Zehner, Holger F. Rabenau, Karen L. Osman, Steven T. Pullan, Miles W. Carroll, Richard Stack, Sandra Ciesek, Mark N. Wass, Martin Michaelis, Jindrich Cinatl, Identification of novel antiviral drug candidates using an optimized SARS-CoV-2 phenotypic screening platform, iScience, Volume 26, Issue 2, 2023, 105944, ISSN 2589-0042, https://doi.org/10.1016/j.isci.2023.105944.

DOI: https://doi.org/10.1016/j.isci.2023.105944

Keywords

  • Drugs
  • Screening in health technology
  • Virology

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