Emerging SARS-CoV-2 variants reduce neutralization sensitivity to convalescent sera and monoclonal antibodies

  1. Jie Hu
  2. Pai Peng
  3. Kai Wang
  4. Liang Fang
  5. Fei-yang Luo
  6. Ai-shun Jin
  7. Bei-zhong Liu
  8. Ni Tang
  9. Ai-long Huang

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Abstract

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  1. Version published to 10.1038/s41423-021-00648-1
  2. ScreenIT

    SciScore for 10.1101/2021.01.22.427749: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethical Approval: The study was approved by the Ethics Commission of Chongqing Medical University (reference number 2020003).
    Consent: 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.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    The neutralizing antibodies (NAbs) were measured by pseudovirus-based assays in 293T-ACE2 cells.
    293T-ACE2
    suggested: RRID:CVCL_YZ65)

    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: We detected the following sentences addressing limitations in the study:
    Limitations of this study include its small sample size and the use of non-replicating pseudovirus system. Therefore, further studies with authentic SARS-CoV-2 viruses are required.

    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 10.1101/2021.01.22.427749v1 on bioRxiv