Autoantibodies stabilize neutrophil extracellular traps in COVID-19

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.03.31.21254692: (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 variableThe 48 controls included 40 females and 8 males, with a mean age and standard deviation of 38 ± 10.

    Table 2: Resources

    Antibodies
    SentencesResources
    For protein staining, fixed cells were incubated with either control or COVID serum (diluted to 10%) and polyclonal antibody to neutrophil elastase (Abcam Ab21595) diluted 1:100 in blocking buffer for 1 hour at 4°C, followed by fluorochrome-conjugated DyLight594 anti-human IgG (Thermo Fisher) and FITC-conjugated secondary (Southern Biotech) for 1 hour at 4°C.
    neutrophil elastase
    suggested: None
    anti-human IgG
    suggested: None
    Software and Algorithms
    SentencesResources
    Data analysis was with GraphPad Prism software version 8.
    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.