Analysis of the Long-Term Impact on Cellular Immunity in COVID-19-Recovered Individuals Reveals a Profound NKT Cell Impairment

  1. Jia Liu
  2. Xuecheng Yang
  3. Hua Wang
  4. Ziwei Li
  5. Hui Deng
  6. Jing Liu
  7. Shue Xiong
  8. Junyi He
  9. Xuemei Feng
  10. Chunxia Guo
  11. Weixian Wang
  12. Gennadiy Zelinskyy
  13. Mirko Trilling
  14. Kathrin Sutter
  15. Tina Senff
  16. Christopher Menne
  17. Joerg Timm
  18. Yanfang Zhang
  19. Fei Deng
  20. Yinping Lu
  21. Jun Wu
  22. Mengji Lu
  23. Dongliang Yang
  24. Ulf Dittmer
  25. Baoju Wang
  26. Xin Zheng

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Abstract

Wuhan was the very first city hit by SARS-CoV-2. Accordingly, the patients who experienced the longest phase of convalescence following COVID-19 reside here.

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  1. Version published to 10.1128/mbio.00085-21
  2. ScreenIT

    SciScore for 10.1101/2020.08.21.20179358: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Informed written consent was obtained from each patient and the study protocol was approved by the local medical ethics committee of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology in accordance with the guidelines of the Declaration of Helsinki (2020IEC-J-587).
    IRB: Written informed consent was given from each included individual and the study was approved by the ethics committee of medical faculty of the Heinrich Heine University Düsseldorf Germany (study number: 5350).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data analysis was performed using FlowJo software V10.0.7 (Tree Star, Ashland, OR, USA).
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)
    When more than two groups were compared, a one-way ANOVA was used with a Tukey post-hoc test (GraphPad Prism software; GraphPad Software Inc., San Diego, USA).
    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.

  3. Version published to 10.1101/2020.08.21.20179358v1 on medRxiv