Persistent cellular immunity to SARS-CoV-2 infection

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Abstract

SARS-CoV-2 is responsible for an ongoing pandemic that has affected millions of individuals around the globe. To gain further understanding of the immune response in recovered individuals, we measured T cell responses in paired samples obtained an average of 1.3 and 6.1 mo after infection from 41 individuals. The data indicate that recovered individuals show persistent polyfunctional SARS-CoV-2 antigen–specific memory that could contribute to rapid recall responses. Recovered individuals also show enduring alterations in relative overall numbers of CD4+ and CD8+ memory T cells, including expression of activation/exhaustion markers, and cell division.

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  1. SciScore for 10.1101/2020.12.08.416636: (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 variablefemale).

    Table 2: Resources

    Antibodies
    SentencesResources
    Cell Stimulation and intracellular staining: Cells were stimulated for 12h with SARS-CoV-2 peptide pools (0.25 μg/ml) in the presence of αCD28/αCD49d co-stimulatory antibodies (BD FastImmune™, BD Biosciences, San Diego, CA, USA), 5 μg/ml brefeldin A (Sigma-Aldrich, St-Louis, MO, USA) and 5 μg/ml Monensin. (BD GolgiStop™ BD Biosciences, San Diego, CA, USA), and anti-CD107a-PE-Cy5 (Clone H4A3) (the staining for CD107a is carried out during cell activation in this assay).
    Monensin
    suggested: None
    anti-CD107a-PE-Cy5
    suggested: None
    Viability Stain, BD Biosciences, San Diego, CA, USA) and a 29-color cocktail of monoclonal antibodies (mAbs) containing surface antibodies against CD19 (Clone SJ25C1),
    CD19
    suggested: None
    The cells were then washed with PBS containing 2% FBS and permeabilized according to the manufacturer’s instructions using a Foxp3/Transcription Factor Staining Buffer Set (eBioscience™) and stained with intracellular antibodies against CD3 (Clone SK7),
    CD3
    suggested: None
    Software and Algorithms
    SentencesResources
    High-dimensional data analysis of flow cytometry data: viSNE and FlowSOM analyses were performed on Cytobank (https://cytobank.org). viSNE analysis was performed using equal sampling of 5000 cells (for total T cell phenotyping analysis, Fig. 1), or proportional sampling (for antigen-specific CD4+ T cell analysis, Fig. 3) from each FCS file, with 7500 iterations, a perplexity of 30, and a theta of 0.5.
    FlowSOM
    suggested: (FlowSOM, RRID:SCR_016899)
    Cytobank
    suggested: (Cytobank, RRID:SCR_014043)
    Statistical analysis: Statistical analyses were performed using Prism 7.0 (GraphPad).
    Prism
    suggested: (PRISM, RRID:SCR_005375)
    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.
    • 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.