Identification of conserved SARS-CoV-2 spike epitopes that expand public cTfh clonotypes in mild COVID-19 patients

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Abstract

Adaptive immunity is a fundamental component in controlling COVID-19. In this process, follicular helper T (Tfh) cells are a subset of CD4+ T cells that mediate the production of protective antibodies; however, the SARS-CoV-2 epitopes activating Tfh cells are not well characterized. Here, we identified and crystallized TCRs of public circulating Tfh (cTfh) clonotypes that are expanded in patients who have recovered from mild symptoms. These public clonotypes recognized the SARS-CoV-2 spike (S) epitopes conserved across emerging variants. The epitope of the most prevalent cTfh clonotype, S864–882, was presented by multiple HLAs and activated T cells in most healthy donors, suggesting that this S region is a universal T cell epitope useful for booster antigen. SARS-CoV-2–specific public cTfh clonotypes also cross-reacted with specific commensal bacteria. In this study, we identified conserved SARS-CoV-2 S epitopes that activate public cTfh clonotypes associated with mild symptoms.

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  1. SciScore for 10.1101/2021.03.23.436573: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Human subjects: The Institutional Review Boards of Osaka University (approval number 898-4) and National Institute of Infectious Diseases
    Consent: Written informed consent was obtained from all participants or designated healthcare surrogates if participants were unable to provide informed consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    5 × 105 PBMCs were stimulated in the same medium with inactivated SARS-CoV-2, 1 or 10 μg/ml of recombinant S protein, 1 μg/ml of S peptide pool or 1 μg/ml of M + N (MN) peptide pool for 20 hours, followed by staining with anti-human CD3, CD69, CD137, CD154 and TotalSeq-C Hashtags antibodies.
    anti-human CD3
    suggested: None
    CD69
    suggested: None
    CD137
    suggested: None
    Cells were then stained with biotin-conjugated anti-PE antibody together with antibodies for surface markers for flow cytometric analysis using AttuneNxT (Thermo Fisher Scientific) and FlowJo 10.5.2 (BD Biosciences).
    anti-PE
    suggested: None
    ), anti-mouse CD3 (17A2), anti-mouse CD69 (H1.2F3), anti-rat CD2 (OX-34) and biotin anti-phycoerythrin (PE)(PE001) antibodies were purchased from BioLegend.
    anti-mouse CD3
    suggested: None
    anti-mouse CD69
    suggested: None
    anti-rat CD2
    suggested: None
    anti-phycoerythrin (PE)
    suggested: None
    PE001
    suggested: None
    Experimental Models: Cell Lines
    SentencesResources
    Plasma diluted at 1:5 followed by two-fold serial dilutions was incubated with equal volume of solution containing 100 TCID50 of SARS-CoV-2 for 1 hour at 37°C and added to VeroE6/TMPRSS2 cells.
    VeroE6/TMPRSS2
    suggested: JCRB Cat# JCRB1819, RRID:CVCL_YQ49)
    For the expression of S proteins of SARS-CoV-2 and HCoV-OC43, pME18S expression vectors for each protein were transfected into HEK293T cells.
    HEK293T
    suggested: NCBI_Iran Cat# C498, RRID:CVCL_0063)
    Software and Algorithms
    SentencesResources
    2.0 (The PyMOL Molecular Graphics System, Version 2.0 Schrödinger, LLC.).
    PyMOL
    suggested: (PyMOL, RRID:SCR_000305)
    Hashtag oligo demultiplexing was performed on CLR-normalized hashtag UMI counts, and clonotypes were matched to the gene expression data through their droplet barcodes, using Python scripts.
    Python
    suggested: (IPython, RRID:SCR_001658)
    Two vectors containing paired TCRα and β chains were transfected together into Phoenix packaging cells using PEI MAX (Polysciences)
    Phoenix
    suggested: (Phoenix, RRID:SCR_003163)
    Cells were then stained with biotin-conjugated anti-PE antibody together with antibodies for surface markers for flow cytometric analysis using AttuneNxT (Thermo Fisher Scientific) and FlowJo 10.5.2 (BD Biosciences).
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)
    After initial phase determination, the model buildings were manually performed using program COOT (Emsley et al., 2010).
    COOT
    suggested: (Coot, RRID:SCR_014222)
    The stereochemical quality of the final model was assessed by program MolProbity (Williams et al., 2018).
    MolProbity
    suggested: (MolProbity, RRID:SCR_014226)
    Statistical analysis: Statistical analysis was performed with t-test using SciPy and p-values were indicated in Figure 3A and 4D.
    SciPy
    suggested: (SciPy, RRID:SCR_008058)

    Results from OddPub: Thank you for sharing your data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    The current study still has several limitations. 1) We analyzed only PBMCs. Although circulating Tfh cells in the periphery can reflect Tfh cells in germinal center (Crotty, 2019; Heit et al., 2017; Hill et al., 2019; Locci et al., 2013; Schmitt et al., 2014), the analysis of tissue resident Tfh cells of biopsy samples is ideal to fully characterize Tfh clonotype. 2) Although the present study suggests that these Tfh clonotypes contribute to amelioration of COVID-19 in patients recovered from mild symptoms, additional studies on patients with severe symptoms are helpful for further aspects. 3) The restricting HLA of the public clonotypes expanded in the patients were DRA-DRB1*15:01 (8.8%), DRA-DRB1*15:02 (2.5%), DRA-DRB1*15:03 (2.0%), DRA-DRB1*15:04 (0.02%), DRA-DRB4*01:03 (33.9% in local)(González-Quezada et al., 2019), DPA1*01:03 (60.7%)-DPB1*04:02 (16.5%), and DPA1*02:02 (24.7%)-DPB1*05:01 (14.8%), which cover a large part of, but not all, population worldwide (Gonzalez-Galarza et al., 2020). Notwithstanding, the current study proposes that combination of single cell paired TCR sequencing and public database is a potent tool to identify public clonotypes which actually responded to SARS-CoV-2 in patients. The rapid reconstitution and determination platform enables us to identify epitopes and responsible HLA simultaneously. As the identified T cell epitopes are conserved among emerging SARS-CoV-2 mutants (Elbe and Buckland-Merrett, 2017; Singer et al., 2020) (Figure 3C), th...

    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: Please consider improving the rainbow (“jet”) colormap(s) used on pages 59 and 55. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.


    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.

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