Assessment of T-cell Reactivity to the SARS-CoV-2 Omicron Variant by Immunized Individuals

  1. Lorenzo De Marco
  2. Silvia D’Orso
  3. Marta Pirronello
  4. Alice Verdiani
  5. Andrea Termine
  6. Carlo Fabrizio
  7. Alessia Capone
  8. Andrea Sabatini
  9. Gisella Guerrera
  10. Roberta Placido
  11. Manolo Sambucci
  12. Daniela F. Angelini
  13. Flavia Giannessi
  14. Mario Picozza
  15. Carlo Caltagirone
  16. Antonino Salvia
  17. Elisabetta Volpe
  18. Maria Pia Balice
  19. Angelo Rossini
  20. Olaf Rötzschke
  21. Emiliano Giardina
  22. Luca Battistini
  23. Giovanna Borsellino

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Abstract

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  1. Version published to 10.1001/jamanetworkopen.2022.10871
  2. ScreenIT

    SciScore for 10.1101/2021.12.30.474453: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Study Design: This observational study was carried out on December 20-21 at the Santa Lucia Foundation Hospital and was approved by the local Ethics Committee.
    Consent: After providing informed consent, 61 volunteers selected among hospital workers, scientists, and their families and acquaintances (Mean age 41.62, range 21-62; 38F/23M) donated 15 ml of blood.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data were analyzed with FlowJo v 10.8.
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)
    Methods, and data were visualized using GraphPad PRISM v.9.
    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: Please consider improving the rainbow (“jet”) colormap(s) used on page 7. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

    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 10.1101/2021.12.30.474453v1 on bioRxiv