Inflammatory profiles across the spectrum of disease reveal a distinct role for GM-CSF in severe COVID-19

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Abstract

GM-CSF is elevated early, scaled with severity, and is central to the inflammatory response in COVID-19, but not severe influenza.

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  1. SciScore for 10.1101/2020.10.08.20209411: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: The protocol, revision history, case report form, patient information leaflets, consent forms and details of the Independent Data and Material Access Committee are available online 48 and published previously 22.
    IRB: Healthy controls were recruited prior to December 2019 under approval from the London – Fulham Research Ethics Committee (REC) (reference 14/LO/1023) or from healthy donors following informed consent from a sub-collection of the Imperial College Healthcare NHS Trust National Institute for Health Research Imperial Biomedical Research Centre Tissue Bank.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analyses: Statistical analyses used GraphPad Prism v8.3.0 (
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    GraphPad, La Jolla, California, USA
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)
    ) R version 3.6.1 and Python 3.7.3 with Pandas 1.0.3 and Seaborn 0.10.0
    Python
    suggested: (IPython, RRID:SCR_001658)
    Correlation matrix analysis was performed using the R packages ggplot2 and ggcorrplot and Spearman’s test for correlation of non-parametric data, after P-value adjustment for multiple testing.
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)
    Heatmaps of scaled plasma mediator data were generated using the ComplexHeatmap package in R with rows and columns split by K-means clustering and dendrograms based on Ward’s minimum variance method (ward.D2) and Spearmans rank correlations.
    ComplexHeatmap
    suggested: (ComplexHeatmap, RRID:SCR_017270)

    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.