Drug repurposing screens reveal cell-type-specific entry pathways and FDA-approved drugs active against SARS-Cov-2

Mark Dittmar(University of Pennsylvania), Jae Seung Lee(University of Pennsylvania), Kanupriya Whig(University of Pennsylvania), Elisha Segrist(University of Pennsylvania), Minghua Li(University of Pennsylvania), Brinda Kamalia(University of Pennsylvania), Lauren Castellana(University of Pennsylvania), Kasirajan Ayyanathan(University of Pennsylvania), Fabian L. Cardenas‐Diaz(University of Pennsylvania), Edward E. Morrisey(University of Pennsylvania), Rachel Truitt(University of Pennsylvania), Wenli Yang(University of Pennsylvania), Kellie A. Jurado(University of Pennsylvania), Kirandeep Samby(Medicines for Malaria Venture), Holly Ramage(Thomas Jefferson University), D. Schultz(University of Pennsylvania), Sara Cherry(University of Pennsylvania)
Cell Reports
March 23, 2021
Cited by 250Open Access
Full Text

Abstract

There is an urgent need for antivirals to treat the newly emerged severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To identify new candidates, we screen a repurposing library of ∼3,000 drugs. Screening in Vero cells finds few antivirals, while screening in human Huh7.5 cells validates 23 diverse antiviral drugs. Extending our studies to lung epithelial cells, we find that there are major differences in drug sensitivity and entry pathways used by SARS-CoV-2 in these cells. Entry in lung epithelial Calu-3 cells is pH independent and requires TMPRSS2, while entry in Vero and Huh7.5 cells requires low pH and triggering by acid-dependent endosomal proteases. Moreover, we find nine drugs are antiviral in respiratory cells, seven of which have been used in humans, and three are US Food and Drug Administration (FDA) approved, including cyclosporine. We find that the antiviral activity of cyclosporine is targeting Cyclophilin rather than calcineurin, revealing essential host targets that have the potential for rapid clinical implementation.


Related Papers

No related papers found

Powered by citation graph analysis