Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples

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Abstract

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  1. SciScore for 10.1101/2021.07.02.450915: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: These samples were drawn from Seattle Children’s workforce and adult community members diagnosed with COVID-19 by detection of SARS-CoV-2 nucleic acids in nasopharyngeal specimens, who subsequently enrolled into the Seattle Children’s SARS2 Recovered Cohort with informed consent and Institutional Review Board approval through SCRI.
    IRB: These samples were drawn from Seattle Children’s workforce and adult community members diagnosed with COVID-19 by detection of SARS-CoV-2 nucleic acids in nasopharyngeal specimens, who subsequently enrolled into the Seattle Children’s SARS2 Recovered Cohort with informed consent and Institutional Review Board approval through SCRI.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    HRP conjugated rec-Protein G antibodies (Invitrogen, 101223) were diluted (diluent mixture described above) by a factor of 4000, HRP conjugated IgM antibodies (ThermoFisher, A18835) were diluted by a factor of 2000, HRP conjugated IgA antibodies (ThermoFisher, PAI-74395) were diluted by a factor of 8000, HRP conjugated IgG1 antibodies (Invitrogen, MH1715) were diluted by a factor of 1000, HRP conjugated IgG3 antibodies (Invitrogen, 05-3620) were diluted by a factor of 1000, and HRP conjugated IgG4 antibodies (ThermoFisher, MH1742) were diluted by a factor of 2000 (Table 1).
    IgG1
    suggested: (Thermo Fisher Scientific Cat# MH1742, RRID:AB_2539714)
    HRP conjugated IgG3
    suggested: (Innovative Research Cat# 053620, RRID:AB_1500903)
    HRP conjugated IgG4
    suggested: None
    A set of 92 (used for each SARS-CoV-2 spike antibody ELISA) or 82 (used for total IgG RBD) negative samples from a pre-COVID-19 biorepository and four positive SARS-CoV-2 convalescent samples (2 positives for IgG4) were used in determining specificity of our ELISA methodology.
    total IgG
    suggested: None
    IgG4
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    2.3 Neutralization Methodologies: Cell lines and growth conditions: Vero E6 and HEK293T cells were obtained from ATCC and HEK293T cells stably transfected with human Angiotensin-Converting Enzyme 2 (HEK293T-hACE2) were obtained from BEI Resources (NR-52511).
    HEK293T
    suggested: None
    Wells were washed twice with sterile water, and HEK293T-hACE2 cells were plated at 2.5×104 cells/well in 50 µL cDMEM.
    HEK293T-hACE2
    suggested: RRID:CVCL_A7UK)
    The setup plate was incubated at 37°C + 5% CO2 for 1 hour prior to addition to HEK293T-hACEs cell as above.
    HEK293T-hACEs
    suggested: None
    PRNT assay: One day prior to infection, Vero E6 cells were plated at 4 × 105 cells/well in 2 mL cDMEM in a 6-well plate.
    Vero E6
    suggested: RRID:CVCL_A7UJ)
    Software and Algorithms
    SentencesResources
    These plate cutoff values were then used to calculate each sample EPT using a 4-parameter logistic model in XL-fit software (model 208) as a Microsoft Excel add-in, as used by our team in previous clinical trial evaluations39,40.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    Pseudovirus inhibition curves and the concentration of plasma required to inhibit pseudovirus entry by 50% (IC50) was determined by plotting the data and fitting a curve using the neutcurve Python package (https://jbloomlab.github.io/neutcurve/).
    Python
    suggested: (IPython, RRID:SCR_001658)

    Results from OddPub: Thank you for sharing your data.


    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.

    Results from scite Reference Check: We found no unreliable references.


    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.