Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response

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Abstract

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  1. SciScore for 10.1101/2022.02.14.22270845: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Ethics statement: Human sera were obtained from the COVIDsortium Healthcare Workers bioresource [(8–10, 12, 13)] which is approved by the ethical committee of UK National Research Ethics Service (20/SC/0149) and registered on ClinicalTrials.gov (NCT04318314).
    Consent: The study conformed to the principles of the Helsinki Declaration, and all subjects gave written informed consent.
    Sex as a biological variableThis included 25 HCW (mean age 44yr, 60% male) with previous laboratory defined evidence of WT SARS-CoV-2 infection and twenty-six HCW (mean age 41y, 54% male) with no laboratory evidence of SARS-CoV-2 infection throughout the initial 16-week longitudinal follow up.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Antibody ratios >1.1 were considered test positive for the EUROIMMUN SARS-CoV-2 ELISA and >1 was considered test positive for the ROCHE Elecsys anti-SARS-CoV-2 ECLIA following Public Health England evaluation (8–11, 31) The previously reported13,14 cross-sectional, case-controlled vaccine sub-study (n=51) collected samples at a mean/median timepoint of 22d and 20d after administration of the first and second dose of the mRNA vaccine, BNT162b2.
    anti-SARS-CoV-2
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    VeroE6 cells were seeded in 96-well plates 24h prior to infection.
    VeroE6
    suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)
    Software and Algorithms
    SentencesResources
    Ethics statement: Human sera were obtained from the COVIDsortium Healthcare Workers bioresource [(8–10, 12, 13)] which is approved by the ethical committee of UK National Research Ethics Service (20/SC/0149) and registered on ClinicalTrials.gov (NCT04318314).
    COVIDsortium Healthcare
    suggested: None
    Raw LC-MS/MS data was analysed using Skyline open source software (
    Skyline
    suggested: (Skyline, RRID:SCR_014080)
    Exported data were analysed using Microsoft Excel and Graphpad Prism v9.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    Graphpad Prism
    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: We detected the following sentences addressing limitations in the study:
    One of the limitations with our assay is that we are not able to determine functional complement activation, although precise quantitative detection may be able to funnel further investigation. Our approach using multiplex LC-MS/MS could provide a valuable platform to better enable research in this area. Whilst the LC-MS/MS multiplex assay is a research standard assay, it was designed so it can be easily translated for use in a clinical laboratory setting (7). Simply, by changing the bait to a VoC spike protein, our test can be easily modified to determine antibody mediated immune response for current and emerging VoC. The information obtained will allow us to understand in greater detail an individual’s antibody protection or be used in vaccine design. Furthermore this ‘Bait, Capture and Mass Spec’ approach, can also have applications beyond SAR-CoV-2 for other infectious diseases, or even immune response to novel treatments and autoimmunity.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04318314RecruitingCOVID-19: Healthcare Worker Bioresource: Immune Protection a…


    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.
    • Thank you for including a protocol registration statement.

    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.