Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19)

  1. Bo Diao
  2. Chenhui Wang
  3. Yingjun Tan
  4. Xiewan Chen
  5. Ying Liu
  6. Lifen Ning
  7. Li Chen
  8. Min Li
  9. Yueping Liu
  10. Gang Wang
  11. Zilin Yuan
  12. Zeqing Feng
  13. Yi Zhang
  14. Yuzhang Wu
  15. Yongwen Chen

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Abstract

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  1. ScreenIT

    SciScore for 10.1101/2020.02.18.20024364: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Written informed consent was waived by the Ethics Commission of the designated hospital for emerging infectious diseases.
    IRB: Written informed consent was waived by the Ethics Commission of the designated hospital for emerging infectious diseases.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The exhaustion of T cells was detected using human CD4-percp (RPA-T4, Biolegend), CD8-APC (SK1, BD Biosciences), CD8-PE (SK1, Biolegend), PD-1-PE (EH12.2H7, Biolegend) and TIM-3-FITC (F38-2E2, Biolegend) antibodies.
    RPA-T4
    suggested: None
    CD8-APC
    suggested: None
    CD8-PE
    suggested: None
    PD-1-PE
    suggested: None
    F38-2E2 , Biolegend
    suggested: None
    Software and Algorithms
    SentencesResources
    Statistical analysis: Statistical analyses were performed using GraphPad Prism version 8.0 (GraphPad Software, Inc.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    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.

    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 10.3389/fimmu.2020.00827
  3. Version published to 10.1101/2020.02.18.20024364v1 on medRxiv