Comparative analysis of antiviral efficacy of FDA‐approved drugs against SARS‐CoV‐2 in human lung cells

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Abstract

Drug repositioning represents an effective way to control the current COVID‐19 pandemic. Previously, we identified 24 FDA‐approved drugs which exhibited substantial antiviral effect against severe acute respiratory syndrome coronavirus 2 in Vero cells. Since antiviral efficacy could be altered in different cell lines, we developed an antiviral screening assay with human lung cells, which is more appropriate than Vero cell. The comparative analysis of antiviral activities revealed that nafamostat is the most potent drug in human lung cells (IC 50  = 0.0022 µM).

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  1. SciScore for 10.1101/2020.05.12.090035: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Anti-SARS-CoV-2 N protein antibody was purchased from Sino Biological Inc. (Beijing, China)
    Anti-SARS-CoV-2 N protein antibody
    suggested: None
    Anti-SARS-CoV-2 N protein
    suggested: None
    Alexa Fluor 488 goat anti-rabbit IgG (H + L) secondary antibody and Hoechst 33342 were purchased from Molecular Probes.
    Alexa Fluor 488 goat anti-rabbit IgG
    suggested: None
    anti-rabbit IgG
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Calu-3 was maintained at 37°C with 5% CO2 in Eagle’s Minimum Essential Medium (EMEM, ATCC), supplemented with 10% heat-inactivated fetal bovine serum (FBS) and 1X Antibiotic-Antimycotic solution (Gibco).
    Calu-3
    suggested: KCLB Cat# 30055, RRID:CVCL_0609)
    Viral titers were determined by plaque assays in Vero cells.
    Vero
    suggested: CLS Cat# 605372/p622_VERO, RRID:CVCL_0059)
    Software and Algorithms
    SentencesResources
    DRCs were generated in Prism7 (GraphPad) software, with dose-response-inhibition nonlinear regression analysis.
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.