Ivermectin reduces coronavirus infection in vivo : a mouse experimental model

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Abstract

SARS-CoV2 is a single strand RNA virus member of the type 2 coronavirus family, responsible for causing COVID-19 disease in humans. The objective of this study was to test the ivermectin drug in a murine model of coronavirus infection using a type 2 family RNA coronavirus similar to SARS-CoV2, the mouse hepatitis virus (MHV). BALB/cJ female mice were infected with 6,000 PFU of MHV-A59 (Group Infected; n=20) and immediately treated with one single dose of 500 μg/kg of ivermectin (Group Infected + IVM; n=20), or were not infected and treated with PBS (Control group; n=16). Five days after infection/treatment, mice were euthanized to obtain different tissues to check general health status and infection levels. Overall results demonstrated that viral infection induces the typical MHV disease in infected animals, with livers showing severe hepatocellular necrosis surrounded by a severe lymphoplasmacytic inflammatory infiltration associated with a high hepatic viral load (52,158 AU), while ivermectin administration showed a better health status with lower viral load (23,192 AU; p<0.05) and few livers with histopathological damage (p<0.05), not showing statistical differences with control mice (P=NS). Furthermore, serum transaminase levels (aspartate aminotransferase and alanine aminotransferase) were significantly lower in treated mice compared to infected animals. In conclusion, ivermectin seems to be effective to diminish MHV viral load and disease in mice, being a useful model for further understanding new therapies against coronavirus diseases.

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  1. SciScore for 10.1101/2020.11.02.363242: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIACUC: Experimental protocols were opportunely approved by the Institutional Animal Care and Use Committee (protocol #008-16) and were performed according to national law #18.611 and international guidelines.
    RandomizationFemale mice were randomly distributed in three experimental groups: Infected
    BlindingAt necropsy, liver appearance was blindly scored (0 to 3) by an independent trained technician considering the main pathologic pattern of MHV infection (Macphee et al., 1985; Perlman, 1998).
    Power Analysisnot detected.
    Sex as a biological variableAnimals and management: A total of 56 BALB/cJ female mice (6-8 weeks old) were bred at the Transgenic and Experimental Animal Unit of Institut Pasteur de Montevideo, under specific pathogen free conditions in individually ventilated racks (IVC, 1285L, Tecniplast, Milan, Italy).
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The following fluorophore-conjugated antibodies were used: Anti-CD4-FITC (#11004181, clone GK1.5) and anti-CD8-PE-Cy7 (#25008182, clone 53-6.7) from eBioscience™ (San Diego, CA, USA) and anti-CD19-PerCP-Cy™ 5.5 (#551001, clone ID3), from BD Pharmingen (San Diego, CA, USA)
    Anti-CD4-FITC ( #11004181
    suggested: None
    anti-CD8-PE-Cy7
    suggested: None
    anti-CD19-PerCP-Cy™
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    MHV-A59 preparation: MHV-A59 (ATCC® VR-764™) viruses were expanded in murine L929 cells (ATCC® CCL-1™) to reach a concentration of 1×107 plaque forming unit (PFU)/mL.
    L929
    suggested: None
    Experimental Models: Organisms/Strains
    SentencesResources
    Animals and management: A total of 56 BALB/cJ female mice (6-8 weeks old) were bred at the Transgenic and Experimental Animal Unit of Institut Pasteur de Montevideo, under specific pathogen free conditions in individually ventilated racks (IVC, 1285L, Tecniplast, Milan, Italy).
    BALB/cJ
    suggested: None
    Software and Algorithms
    SentencesResources
    , InfoStat software (Di Rienzo et al., 2017), which included the treatments (three groups) and time (pre and postinfection) as fixed variables and the animals and replicates as random variables.
    InfoStat
    suggested: (InfoStat, RRID:SCR_014310)

    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 found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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.
    • No funding statement was detected.
    • 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.