SARS-CoV-2 elicits robust adaptive immune responses regardless of disease severity

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.10.08.331645: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Inclusion criteria were as follows; 1) Age above 18 years; 2) PCR verified SARS-CoV-2 within the preceding 12 weeks; 3) Full recovery from acute COVID-19 illness; 4) Able to give informed consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    After sample incubation, bound IgG was detected by incubation with MSD SULFO-TAG Anti-Human IgG Antibody and subsequently measured on a MESO QuickPlex SQ 120 Reader (Cat. No. AI0AA-0) after addition of GOLD Read Buffer B (Cat. No. R60AM-2).
    Anti-Human IgG
    suggested: None
    ELISA: IgA antibodies were measured using the Anti-SARS-CoV-2 IgA ELISA from Euroimmun (Euroimmun Medizinische Labordiagnostika AG, Lübeck, Germany, Cat. No. El 2606-9601 A), according to manufacturer’s instructions.
    Anti-SARS-CoV-2 IgA
    suggested: None
    IgA type antibodies were detected by incubation with peroxidase labelled anti-human IgA followed by a chromogen solution, resulting in color development in positive wells.
    anti-human IgA
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    HEK293T cells were cultured in DMEM, containing 10% FBS and 50 U/mL P/S.
    HEK293T
    suggested: None
    After 1 hour of incubation at 37°C BHK-G43 cells were washed three times in PBS and fresh media was added.
    BHK-G43
    suggested: None
    Software and Algorithms
    SentencesResources
    Data and Statistical analyses: Flow cytometry data was analyzed using FlowJo (Version 10.7.1).
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)
    All data was processed and graphed in GraphPad Prism version 8.4.3.
    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.
    • 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.