Evaluation of K18- hACE2 mice as a model of SARS-CoV-2 infection

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Abstract

Murine models of SARS-CoV-2 infection are critical for elucidating the biological pathways underlying COVID-19 disease. Because human ACE2 is the receptor for SARS-CoV-2, mice expressing the human ACE2 gene have shown promise as a potential model for COVID-19. Five mice from the transgenic mouse strain K18- hACE2 were intranasally inoculated with SARS-CoV-2 Hong Kong/VM20001061/2020. Mice were followed twice daily for five days and scored for weight loss and clinical symptoms. Infected mice did not exhibit any signs of infection until day four, when weight loss, but no other obvious clinical symptoms were observed. By day five all infected mice had lost around 10% of their original body weight, but exhibited variable clinical symptoms. All infected mice showed high viral titers in the lungs as well as altered lung histology associated with proteinaceous debris in the alveolar space, interstitial inflammatory cell infiltration and alveolar septal thickening. Overall, these results show that symptomatic SARS-CoV-2 infection can be established in the K18- hACE2 transgenic background and should be a useful mouse model for COVID-19 disease.

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  1. SciScore for 10.1101/2020.06.26.171033: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIACUC: All mouse work was approved by the University’s Institutional Animal Care and Use, and all procedures were performed in the University’s certified animal Biosafety Level Three laboratory.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    Challenge: Ten week-old Tg(K18-hACE2)2Prlmn (Jackson Laboratories)
    Tg(K18-hACE2)2Prlmn
    suggested: None
    Software and Algorithms
    SentencesResources
    Data Analysis and figure generation was performed in Omiq and Graphpad Prism.
    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: 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.