Novel Ionophores Active against La Crosse Virus Identified through Rapid Antiviral Screening

  1. Zachary J. Sandler
  2. Mason R. Firpo
  3. Oreoluwa S. Omoba
  4. Michelle N. Vu
  5. Vineet D. Menachery
  6. Bryan C. Mounce

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Abstract

Bunyaviruses are significant human pathogens, causing diseases ranging from hemorrhagic fevers to encephalitis. Among these viruses, La Crosse virus (LACV), a member of the California serogroup, circulates in the eastern and midwestern United States. While LACV infection is often asymptomatic, dozens of cases of encephalitis are reported yearly. Unfortunately, no antivirals have been approved to treat LACV infection. Here, we developed a method to rapidly test potential antivirals against LACV infection.

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  1. ScreenIT

    SciScore for 10.1101/2020.01.21.914929: (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 variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Infection and enumeration of viral titers: RVFV MP-1231, LACV, and KEYV were derived from the first passage of virus in Huh7 cells.
    Huh7
    suggested: CLS Cat# 300156/p7178_HuH7, RRID:CVCL_0336)
    ZIKV (MR766) was derived from the first passage of virus in Vero cells.
    Vero
    suggested: CLS Cat# 605372/p622_VERO, RRID:CVCL_0059)
    CVB3 (Nancy strain) and HRV2 were derived from the first passage of virus in HeLa cells.
    HeLa
    suggested: CLS Cat# 300194/p772_HeLa, RRID:CVCL_0030)
    Software and Algorithms
    SentencesResources
    Statistical Analysis: Prism 6 (GraphPad) was used to generate graphs and perform statistical analysis.
    Statistical Analysis: Prism
    suggested: None
    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:
    • No conflict of interest statement was detected. If there are no conflicts, we encourage authors to explicit state so.
    • 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.

  2. Version published to 10.1128/aac.00086-20
  3. Version published to 10.1101/2020.01.21.914929 on bioRxiv