SARS‐CoV‐2‐specific IgG1/IgG3 but not IgM in children with Pediatric Inflammatory Multi‐System Syndrome

  1. Marisol Perez‐Toledo
  2. Sian E. Faustini
  3. Sian E. Jossi
  4. Adrian M. Shields
  5. Edith Marcial‐Juarez
  6. Hari Krishnan Kanthimathinathan
  7. Joel D. Allen
  8. Yasunori Watanabe
  9. Margaret Goodall
  10. Benjamin E. Willcox
  11. Carrie R. Willcox
  12. Mahboob Salim
  13. David C. Wraith
  14. Tonny V. Veenith
  15. Eleni Syrimi
  16. Mark T. Drayson
  17. Deepthi Jyothish
  18. Eslam Al‐Abadi
  19. Ashish Chikermane
  20. Steven B. Welch
  21. Kavitha Masilamani
  22. Scott Hackett
  23. Max Crispin
  24. Barnaby R. Scholefield
  25. Adam F. Cunningham
  26. Alex G. Richter

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Abstract

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  1. Version published to 10.1111/pai.13504
  2. ScreenIT

    SciScore for 10.1101/2020.06.05.20123117: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The ethical approval for this work and the use of these samples was provided by the awarding bodies of the University of Birmingham Research Ethics Committee, the South Birmingham Research Ethics Committee and the National Research Ethics Service Committee West Midlands.
    Consent: All patients and/or their parents/legal guardians provided signed informed consent to inclusion of de-identified data in this report.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Ethics statement: The patients’ samples were either tested as part of routine diagnostics on in house COVID-19 antibody ELISAs run by the UKAS accredited Clinical Immunology Service at the University of Birmingham or used for assay development.
    COVID-19
    suggested: None
    HRP-labelled mouse monoclonal anti-human IgG, IgA IgM, lgG1-4 secondary antibodies, generated at the University of Birmingham (available from Abingdon Health Ltd), were added individually or combined and HRP activity detected using TMB core (Bio-rad).
    anti-human
    suggested: None
    anti-human IgG
    suggested: None
    IgA IgM
    suggested: None

    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.

  3. Version published to 10.1101/2020.06.05.20123117v1 on medRxiv