Limited Neutralization of Authentic Severe Acute Respiratory Syndrome Coronavirus 2 Variants Carrying E484K In Vitro

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Abstract

Whether monoclonal antibodies are able to neutralize severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern has been investigated using pseudoviruses. In this study we show that bamlanivimab, casirivimab, and imdevimab efficiently neutralize authentic SARS-CoV-2, including variant B.1.1.7 (alpha), but variants B.1.351 (beta) and P.2 (zeta) were resistant against bamlanivimab and partially resistant to casirivimab.

Whether antibodies are able to neutralize severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variantshas been investigated using pseudoviruses. We show that authentic SARS-CoV-2 carrying E484K were resistant against bamlanivimab and less susceptible to casirivimab, convalescent and vaccine-elicited sera.

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  1. SciScore for 10.1101/2021.02.24.21252372: (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

    Experimental Models: Cell Lines
    SentencesResources
    The mAb working solution was serially diluted 1:2 and incubated with 4000 TCID50 / ml of each SARS-CoV-2 isolate, and subjected to Caco2 cell based SARS-CoV-2 neutralization assay.
    Caco2
    suggested: CLS Cat# 300137/p1665_CaCo-2, RRID:CVCL_0025)

    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.