Development of a rapid point-of-care test that measures neutralizing antibodies to SARS-CoV-2

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Abstract

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  1. SciScore for 10.1101/2020.12.15.20248264: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Methods Human Subjects and Samples Peripheral blood, serum and plasma were collected for this study under an Arizona State University institutional review board (IRB) approved protocol #0601000548 and Mayo Clinic IRB protocol #20-004544.
    Randomizationnot detected.
    Blinding( De-identified serum samples were sent from Mayo Clinic Rochester to our laboratories at Mayo Clinic Arizona and run in a blinded manner.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    A separate set of 38 samples was run concurrently in the SARS-CoV-2 authentic microneutralizing antibody assay, the LFA, and the Ortho Vitros Anti-SARS-CoV-2 IgG assay.
    Anti-SARS-CoV-2 IgG
    suggested: None
    For procedural control purposes, the LFA also contains a control mouse antibody conjugated to red gold nanospheres and corresponding anti-mouse control line.
    anti-mouse control line.
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    The pseudotyped virus is called VSV- SARS-CoV-2-S-∆19CT and was produced by BHK-21 cells.
    BHK-21
    suggested: ATCC Cat# CRL-6282, RRID:CVCL_1914)
    Two different Vero cells encoding split product luciferase (DSP1 and DSP2) were cultured at a 1:1 ratio as a monolayer.
    Vero
    suggested: CLS Cat# 605372/p622_VERO, RRID:CVCL_0059)
    Software and Algorithms
    SentencesResources
    Correlation analysis was conducted using IBM SPSS (Armonk, NY).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Regression analysis was performed using Microsoft Excel (Redmond, WA); Bland-Altman plots were visualized using IBM SPSS.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    ROC analysis was conducted using R language in the RStudio environment (version 3.6.2; RStudio PBC, Boston, MA).
    RStudio
    suggested: (RStudio, RRID:SCR_000432)

    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: We detected the following sentences addressing limitations in the study:
    Limitations of the LFA are that it uses only the RBD portion of SARS-CoV-2 spike protein. Although the vast majority of reports indicate that the principle neutralizing domain is RBD portion of spike protein, mAbs have been reported that neutralize SARS-CoV-2 by binding to the N-terminal domain of spike protein(36, 37). Also, since the spike protein assumes several conformations during viral binding and entry(38), neutralizing epitopes exist on the quaternary structure of spike(37). Although RBDs on the nanoparticles may associate, it is unlikely they assume a native quaternary conformation. Other limitations are the binary nature of the data analysis (neutralizing and non- neutralizing) of a continuous assay. Clearly, line densities demonstrate moderate levels of neutralization. Since blood draws and subsequent assays are a “snapshot in time” of neutralizing antibody activity, levels were undoubtedly increasing in some patients and decreasing in others. LFAs are generally inexpensive and highly portable compared to other laboratory-based tests, so neutralizing antibody levels could be measured using the LFA to longitudinally assess protective neutralizing antibody immunity. Another limitation is that the LFA does not differentiate high affinity anti-RBD NAbs from an abundance of lower affinity anti- RBD NAbs. In related experiments, we have observed patient sera that bind strongly to RBD, but do not demonstrate neutralizing activity (data not shown). This test may prove very...

    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.