Targeting of the NLRP3 Inflammasome for early COVID-19

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Abstract

Following entry and replication of Severe Acute Respiratory Syndrome-coronavirus-2 (SARS-CoV-2) into ACE2 expressing cells, the infected cells undergo lysis releasing more virus but also cell contents. In the lung, constitutive cytokines such as IL-1α are released together with other cell contents. A cascade of inflammatory cytokines ensues, including chemokines and IL-1β, triggering both local as well as systemic inflammation. This cascade of inflammatory cytokines in patients with COVID-19 is termed “Cytokine Release Syndrome” (CRS), and is associated with poor outcomes and death. Many studies reveal that blocking IL-1 activities in COVID-19 patients reduces disease severity and deaths. Here we report highly significant circulating levels of IL-1β, IL-1 Receptor antagonist, IL-6, TNFα, IL-10 and soluble urokinase plasminogen activator receptor in COVID-19 patients with mild or no symptoms. We also report that in circulating myeloid cells from the same patients, there is increased expression of the NOD-, LRR- and pyrin domain-containing 3 (NLRP3) early in the infection. We observed increased NLRP3 gene expression in myeloid cells correlated with IL-1β gene expression and also with elevated circulating IL-1β levels. We conclude that early in SARS-CoV-2 infection, NLRP3 activation takes place and initiates the CRS. Thus, NLRP3 is a target to reduce the organ damage of inflammatory cytokines of the CRS.

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  1. SciScore for 10.1101/2021.02.24.432734: (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
    Primary antibodies for NLRP3 1:1000 (Adipogen) was used in combination with peroxidase-conjugated secondary antibodies and chemiluminescence to detect the protein concentration.
    NLRP3
    suggested: None
    A primary antibody against β-actin (Santa Cruz Biotechnology) was used to assess protein loading.
    β-actin
    suggested: (Santa Cruz Biotechnology Cat# sc-47778, RRID:AB_626632)
    Software and Algorithms
    SentencesResources
    Quantitative PCR (qPCR) was performed on cDNA using Power SYBR Green PCR master mix (Thermo Fisher Scientific) on Bio-Rad (Bio-Rad Laboratories, Hercules, CA) CFX96 Real time system.
    Bio-Rad Laboratories
    suggested: (Bio-Rad Laboratories, RRID:SCR_008426)
    Statistical analysis: Significance of differences was evaluated with Student’s two-tail T-test using GraphPad Prism (GraphPad Software Inc, La Jolla, CA) or Wilcoxon signed-rank test as indicated.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    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:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • No funding statement was detected.
    • 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.