SARS-CoV-2 B.1.1.7 Infection of Syrian Hamster Does Not Cause More Severe Disease, and Naturally Acquired Immunity Confers Protection

  1. Ivette A. Nuñez
  2. Christopher Z. Lien
  3. Prabhuanand Selvaraj
  4. Charles B. Stauft
  5. Shufeng Liu
  6. Matthew F. Starost
  7. Tony T. Wang

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Abstract

The rapid emergence of several variants of concern of SARS-CoV-2 calls for evaluations of viral fitness and pathogenicity in animal models in order to understand the mechanism of enhanced transmission and the possible increases in morbidity and mortality rates. Here, we demonstrated that immunity naturally acquired through a prior infection with the first-wave variant does confer nearly complete protection against the B.1.1.7 variant in Syrian hamsters upon reexposure.

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  1. Version published to 10.1128/msphere.00507-21
  2. ScreenIT

    SciScore for 10.1101/2021.04.02.438186: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableMale hamsters (n=12) were divided into three groups, the first group contained hamsters who were previously infected with the USA-WA1/2020 variant (lineage A, GISAID clade S) which was circulating in Washington State in early 2020.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Virus and cell culture: SARS-CoV-2 Isolate hCoV-19/USA/CA_CDC_5574/2020 and SARS-CoV-2/human/USA/NY-PV08410/2020 were propagated in Vero E6 cells to generate working virus stocks with infectious titers of 4.7×106 pfu/ml and 1.8×107 pfu/ml, respectively, and sequenced to confirm genotypes.
    Vero E6
    suggested: None
    Software and Algorithms
    SentencesResources
    Statistical analysis: Standard unpaired T.test was used to calculate statistical significance through GraphPad Prism (8.4.2) software for Windows, GraphPad Software, San Diego, California USA, www.graphpad.com.
    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 10.1101/2021.04.02.438186v1 on bioRxiv