Longitudinal variation in SARS-CoV-2 antibody levels and emergence of viral variants: a serological analysis

  1. Frauke Muecksch
  2. Helen Wise
  3. Kate Templeton
  4. Becky Batchelor
  5. Maria Squires
  6. Kirsty McCance
  7. Lisa Jarvis
  8. Kristen Malloy
  9. Elizabeth Furrie
  10. Claire Richardson
  11. Jacqueline MacGuire
  12. Ian Godber
  13. Alana Burns
  14. Sally Mavin
  15. Fengwen Zhang
  16. Fabian Schmidt
  17. Paul D Bieniasz
  18. Sara Jenks
  19. Theodora Hatziioannou

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Abstract

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  1. Version published to 10.1016/s2666-5247(22)00090-8
  2. ScreenIT

    SciScore for 10.1101/2021.07.02.21259939: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Ethical approval was obtained for this study to be carried out through the NHS Lothian BioResource (SR1407) and London-Brent Research Ethics Committee (REC ref: 20/HRA/3764 IRAS:28653).
    Consent: All recruits gave written and informed consent for serial blood sample collection.
    Sex as a biological variableThe mean age of the participants was 44.5 years (21 – 65 y), with 72 female (71% of cohort) participants.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Serological assays: The Abbott SARS-CoV-2 IgG (NHS Lothian) and SARS-CoV-2 IgGII (NHS Greater Glasgow and Clyde) assays are two-step chemiluminescent microparticle immunoassays (CMIA) designed to detect IgG antibodies against nucleoprotein and RBD respectively.
    SARS-CoV-2 IgGII
    suggested: None
    , DiaSorin LIASON trimericS IgG (NHS Highland) and Siemens sCOVG RBD IgG (NHS Tayside) assays are also two-step CMIA designed to detect IgG antibodies.
    DiaSorin LIASON trimericS IgG
    suggested: None
    detect IgG
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Briefly, 293Tcells were transfected with pNL4-3ΔEnv-nanoluc and pSARS-CoV-2-SΔ19.
    293Tcells
    suggested: None
    The mixture was subsequently added to 293TAce2 cl22 cells (for analyses using SARS-CoV-2 Wuhan-Hu-1 pseudovirus) or HT1080Ace2 cl14 cells (for analyses involving variant pseudovirus panels and respective Wuhan-Hu-1 R683G controls).
    HT1080Ace2 cl14
    suggested: None
    Recombinant DNA
    SentencesResources
    Briefly, 293Tcells were transfected with pNL4-3ΔEnv-nanoluc and pSARS-CoV-2-SΔ19.
    pNL4-3ΔEnv-nanoluc
    suggested: None
    pSARS-CoV-2-SΔ19
    suggested: None
    Software and Algorithms
    SentencesResources
    The half-maximal neutralization titers for sera (NT50) were determined using four-parameter nonlinear regression (least squares regression method without weighting; constraints: top=1, bottom=0) (GraphPad Prism).
    GraphPad
    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.

    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.

  3. Version published to 10.1101/2021.07.02.21259939v1 on medRxiv