Absence of Severe Acute Respiratory Syndrome Coronavirus 2 Neutralizing Activity in Prepandemic Sera From Individuals With Recent Seasonal Coronavirus Infection

  1. Daniel Poston
  2. Yiska Weisblum
  3. Helen Wise
  4. Kate Templeton
  5. Sara Jenks
  6. Theodora Hatziioannou
  7. Paul Bieniasz

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Abstract

Cross-reactive immune responses elicited by seasonal coronaviruses might affect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) susceptibility and disease outcomes. We measured neutralizing activity against SARS-CoV-2 in prepandemic sera from patients with prior polymerase chain reaction scan-confirmed seasonal coronavirus infection. Although neutralizing activity against seasonal coronaviruses was detected in nearly all sera, cross-reactive neutralizing activity against SARS-CoV-2 was undetectable.

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  1. ScreenIT

    SciScore for 10.1101/2020.10.08.20209650: (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
    A secondary antibody conjugate Alexa Fluor® 488 Goat anti-Mouse IgG (H+L) (Thermo) was then used to and infected cells enumerated by flow cytometry.
    anti-Mouse IgG
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    All samples were anonymized and ethical approval to utilize these patient samples was obtained through the NHS Lothian BioResource and the Rockefeller University IRB Viruses: The seasonal coronaviruses HCoV-OC43 (ATCC VR-759) and HCoV-229E (ATCC VR-740) were obtained from Zeptometrix, and HCoV-NL63 (Amsterdam I) was obtained from BEI resources.
    HCoV-229E
    suggested: None
    Viral stocks were generated by propagation on Huh7.5 cells.
    Huh7.5
    suggested: RRID:CVCL_7927)
    The replication-competent chimeric recombinant vesicular stomatitis virus encoding SARS-CoV-2 Spike and GFP (rVSV/SARS-2/GFP2E1) has been described previously and was propagated on 293T/ACE2cl.22 cells [4].
    293T/ACE2cl.22
    suggested: None
    Virus serum mixtures were subsequently transferred to 96-well plates containing 1×104 293T/ACE2cl.22 (for rVSV/SARS-2/GFP and HCoV-OC43) or HT1080/ACE2cl.14 (for HCoV-NL63 and HCoV-229E) target cells/well.
    HCoV-NL63
    suggested: RRID:CVCL_RW88)
    Software and Algorithms
    SentencesResources
    Data analysis: All flow cytometry data was analyzed using FlowJo software version 10.6.1.
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)
    All graphs and corresponding NT50 values were generated using GraphPad Prism version 8.
    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: 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.

  2. Version published to 10.1093/cid/ciaa1803
  3. Version published to 10.1101/2020.10.08.20209650v1 on medRxiv