Impaired humoral immunity to SARS-CoV-2 BNT162b2 vaccine in kidney transplant recipients and dialysis patients

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Abstract

Patients with kidney failure are at increased risk of SARS-CoV-2 infection, making effective vaccinations a critical need. It is not known how well mRNA vaccines induce B and plasma cell responses in dialysis patients (DPs) or kidney transplant recipients (KTRs) compared with healthy controls (HCs). We studied humoral and B cell responses of 35 HCs, 44 DPs, and 40 KTRs. Markedly impaired anti-BNT162b2 responses were identified among KTRs and DPs compared with HCs. In DPs, the response was delayed (3 to 4 weeks after boost) and reduced with anti-S1 IgG and IgA positivity in 70.5 and 68.2%, respectively. In contrast, KTRs did not develop IgG responses except for one patient who had a previous unrecognized infection and developed anti-S1 IgG. Most antigen-specific B cells (RBD + ) were identified in the plasmablast or post-switch memory B cell compartments in HCs, whereas RBD + B cells were enriched among pre-switch and naïve B cells from DPs and KTRs. The frequency and absolute number of antigen-specific circulating plasmablasts in the cohort correlated with the Ig response, a characteristic not reported for other vaccinations. In conclusion, these data indicated that immunosuppression resulted in impaired protective immunity after mRNA vaccination, including Ig induction with corresponding generation of plasmablasts and memory B cells. Thus, there is an urgent need to improve vaccination protocols in patients after kidney transplantation or on chronic dialysis.

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  1. SciScore for 10.1101/2021.04.15.21255550: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: All participants gave written informed consent according to the approval of the ethics committee at the Charité University Hospital Berlin (EA2/010/21, EA4/188/20), the ethics committee of Saxony-Anhalt (EA7/21) and the ethics committee of the University of Greifswald (BB019/21).
    IRB: All participants gave written informed consent according to the approval of the ethics committee at the Charité University Hospital Berlin (EA2/010/21, EA4/188/20), the ethics committee of Saxony-Anhalt (EA7/21) and the ethics committee of the University of Greifswald (BB019/21).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: Annotation of clusters was performed manually by visual inspection of typical marker genes for cell-types and cell-states.

    Table 2: Resources

    Antibodies
    SentencesResources
    For flow cytometric analysis, the following fluorochrome-labeled antibodies were used: BUV737 anti-CD11c (BD, clone B-ly6, 1:50),
    anti-CD11c
    suggested: None
    APC-Cy7 anti-CD38 (Biolegend, clone HIT2, 1:1000)
    APC-Cy7
    suggested: (BD Biosciences Cat# 338430, RRID:AB_647374)
    anti-CD38
    suggested: (LSBio (LifeSpan Cat# LS-C84991-1000, RRID:AB_10967217)
    After incubation for 60 minutes at 37°C, wells were washed 3 times and the peroxidase-labelled anti-IgG or anti-IgA antibody solution was added, followed by a second incubation step for 30 min.
    anti-IgG
    suggested: None
    anti-IgA
    suggested: None
    Surrogate SARS-CoV-2 neutralization test (GenScript): This blocking ELISA qualitatively detects anti-SARS-CoV-2 antibodies suppressing the interaction between the receptor binding domain (RBD) of the viral spike glycoprotein (S) and the angiotensin-converting enzyme 2 (ACE2) protein on the surface of cells.
    anti-SARS-CoV-2
    suggested: None
    ACE2
    suggested: None
    The absorbance of the sample is inversely correlated with the amount of SARS-CoV-2 neutralizing antibodies.
    SARS-CoV-2 neutralizing antibodies .
    suggested: None
    Enriched cells were incubated with Fc Blocking Reagent (Milteniy Biotec) following manufacturer’s instructions and subsequently stained up to 107 lymphocytes per 100µL for 30min at 4°C with the following fluorophore-conjugated anti-human antibodies:, VioBlue anti-CD14 (Miltenyi Biotec, Clone TÜK4, 1:200), VioBlue anti-CD16 (Miltenyi Biotec, clone VEP13, 1:50)
    anti-human antibodies: , VioBlue anti-CD14 ( Miltenyi Biotec ,
    suggested: None
    anti-CD16
    suggested: (Miltenyi Biotec Cat# 130-098-102, RRID:AB_2661280)
    , clone HIT2, 1:25), and the following TotalSeq-C oligomer-conjugated anti-human antibodies: CD138 (clone DL-1021, 1:50),
    anti-human antibodies: CD138
    suggested: None
    To allow for sequencing of pools of cells from different donors, cells were also incubated with TotalSeq oligomer-conjugated hashtag antibodies (TotalSeq-C anti-human Hashtag antibody 1 to 4 from BioLegend, 1:250).
    anti-human Hashtag antibody 1 to 4
    suggested: None
    Software and Algorithms
    SentencesResources
    Study participants: Peripheral blood samples (EDTA anti-coagulated or serum-tubes, BD Vacutainersystem, BD Diagnostics, Franklin Lakes, NJ, USA) from 25 healthy controls, 40 hemodialysis patients, 4 peritoneal dialysis patients and 40 kidney transplant recipients were collected at 7 ± 2 days after the second dose of SARS-CoV-2 BNT162b2 vaccination.
    BD Diagnostics
    suggested: None
    Single Cell RNA-library preparation and sequencing: Single cell suspensions were obtained by cell sorting and applied to the 10x Genomics workflow for cell capturing and scRNA gene expression (GEX) and CiteSeq library preparation using the Chromium Single Cell 5’ Library & Gel Bead Kit as well as the Single Cell 5’ Feature Barcode Library Kit (10x Genomics).
    CiteSeq
    suggested: None
    The cellranger output was further analyzed in R using the Seurat package (version 3.2.2) (39).
    Seurat
    suggested: (SEURAT, RRID:SCR_007322)
    Flow cytometric data were analyzed by FlowJo software 10.7.1 (TreeStar, Ashland, OR, USA).
    FlowJo
    suggested: (FlowJo, RRID:SCR_008520)
    GraphPad Prism Version 5 (GraphPad software, San Diego, CA, USA) was used for statistical analysis.
    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: Please consider improving the rainbow (“jet”) colormap(s) used on pages 24, 20 and 22. 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.

    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.