The polymorphism L412F in TLR3 inhibits autophagy and is a marker of severe COVID-19 in males

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Abstract

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  1. SciScore for 10.1101/2021.03.23.21254158: (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.

    Table 2: Resources

    Antibodies
    SentencesResources
    Permeabilized cells were incubated with anti-LC3B primary antibody (MBL, M152-3) for 1 h, washed three times with PBS, and then incubated with anti-mouse Alexa Fluor 488-conjugated secondary antibody (Life Technologies, A21202); subsequently cells were washed three times with PBS.
    anti-LC3B
    suggested: None
    anti-mouse
    suggested: (Molecular Probes Cat# A-21202, RRID:AB_141607)
    Software and Algorithms
    SentencesResources
    The data pre-processing was coded in Python, whereas for the logistic regression model the scikit-learn module with the liblinear coordinate descent optimization algorithm was used.
    Python
    suggested: (IPython, RRID:SCR_001658)
    Nuclei were stained with a solution of 6 µM of 4’,6-diamidino-2-phenylindole (DAPI; Sigma Aldrich, D9542) in PBS for 10 min.
    DAPI; Sigma Aldrich
    suggested: None
    Dot count and statistical analysis for autophagy: For the LC3B-positive dot count, we performed intensitometric analysis of fluorescence using the Quantitation Module of Volocity software (PerkinElmer Life Science).
    Volocity
    suggested: (Volocity 3D Image Analysis Software, RRID:SCR_002668)
    Significance (P value) was assessed by Student’s t test, using GraphPad Prism6 software.
    GraphPad Prism6
    suggested: None

    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04549831RecruitingGenetic Bases of COVID-19 Clinical Variability


    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.
    • 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.