Polymorphism in IFNAR contributes to glucocorticoid response and outcome in ARDS and COVID-19

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Abstract

The use of glucocorticoids has given contradictory results for treating acute respiratory distress syndrome (ARDS). Here we report a novel disease association of a SNP rs9984273, which is situated in the interferon alpha/beta receptor (IFNAR2) gene in an area corresponding to a binding motif of the glucocorticoid receptor (GR). The minor allele of SNP rs9984273 associates with higher IFNAR expression, lower IFN-gamma and IL-6 levels and less severe form of coronavirus diseases (COVID-19) according to the COVID-19 Host Genetics Initiative database, and better outcome in interferon (IFN) beta treated patients with ARDS. Thus, the distribution of this SNP within clinical study arms may explain the contradictory results of multiple ARDS studies and outcomes in COVID-19 concerning type I IFN signalling and glucocorticoids.

One-Sentence Summary

Single nucleotide polymorphism in interferon receptor contributes to corticosteroid response and outcome in ARDS and COVID-19

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  1. SciScore for 10.1101/2022.03.10.22272123: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: There were 75 of those patients with an available genetic consent and samples available.
    Sex as a biological variablenot detected.
    RandomizationShortly, The INTEREST trial was a multi-center, randomized, double-blind, parallel-group trial conducted at 74 intensive care units in 8 European countries (from December 2015 to December 2017) that included 296 adults with moderate to severe ARDS.
    BlindingThe staining intensity of each sample was blindly scored from 1 to 3.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The first stage antibodies were anti-alpha chain of the IFN alpha/beta receptor (St John’s Laboratory STJ112765) that was used 1:2000 and 1:5000 and anti-Stat1 (1:400, 9175S), anti-pStat1(1:100, 9167S) and anti-Stat2 (1:200, 72604S) all from Cell Signalling.
    anti-Stat1
    suggested: (Cell Signaling Technology Cat# 9167, RRID:AB_561284)
    anti-pStat1
    suggested: (Fluidigm Cat# 3153003A, RRID:AB_2811248)
    anti-Stat2
    suggested: (Cell Signaling Technology Cat# 72604, RRID:AB_2799824)
    Recombinant DNA
    SentencesResources
    All 14 samples were used for staining IFNAR1 and 5 CT and 5 TT samples for Stat1, pStat1 and Stat2 stainings.
    pStat1
    suggested: None
    Software and Algorithms
    SentencesResources
    Pro-inflammatory cytokine levels were analysed using Bio-Plex Cytokine Assay by Bio-Rad Laboratories (Hercules, USA).
    Bio-Rad Laboratories
    suggested: (Bio-Rad Laboratories, RRID:SCR_008426)
    Differences in SNP rs9984273 genotype distribution between deceased and alive ARDS patients were tested using allelic chi-square test using the PLINK software (26).
    PLINK
    suggested: (PLINK, RRID:SCR_001757)
    The HaploReg tool (28) was used to find matches between the SNP rs9984273 region and the position weight matrices derived from the Encode ChIP-seq data (22).
    HaploReg
    suggested: (HaploReg, RRID:SCR_006796)

    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
    NCT00789685CompletedSafety, Tolerability and Preliminary Efficacy of FP-1201 in …
    NCT02622724TerminatedEfficacy and Safety of FP-1201-lyo (Interferon Beta-1a) in P…


    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.
    • Thank you for including a protocol registration statement.

    Results from scite Reference Check: We found no unreliable references.


    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.