Broad T Cell Targeting of Structural Proteins After SARS-CoV-2 Infection: High Throughput Assessment of T Cell Reactivity Using an Automated Interferon Gamma Release Assay.


Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2021
Historique:
received: 30 03 2021
accepted: 30 04 2021
entrez: 7 6 2021
pubmed: 8 6 2021
medline: 11 6 2021
Statut: epublish

Résumé

Adaptive immune responses to structural proteins of the virion play a crucial role in protection against coronavirus disease 2019 (COVID-19). We therefore studied T cell responses against multiple SARS-CoV-2 structural proteins in a large cohort using a simple, fast, and high-throughput approach. An automated interferon gamma release assay (IGRA) for the Nucleocapsid (NC)-, Membrane (M)-, Spike-C-terminus (SCT)-, and N-terminus-protein (SNT)-specific T cell responses was performed using fresh whole blood from study subjects with convalescent, confirmed COVID-19 (n = 177, more than 200 days post infection), exposed household members (n = 145), and unexposed controls (n = 85). SARS-CoV-2-specific antibodies were assessed using Elecsys 156 of 177 (88%) previously PCR confirmed cases were still positive by Ro-N-Ig more than 200 days after infection. In T cells, most frequently the M-protein was targeted by 88% seropositive, PCR confirmed cases, followed by SCT (85%), NC (82%), and SNT (73%), whereas each of these antigens was recognized by less than 14% of non-exposed control subjects. Broad targeting of these structural virion proteins was characteristic of convalescent SARS-CoV-2 infection; 68% of all seropositive individuals targeted all four tested antigens. Indeed, anti-NC antibody titer correlated loosely, but significantly with the magnitude and breadth of the SARS-CoV-2-specific T cell response. Age, sex, and body mass index were comparable between the different groups. SARS-CoV-2 seropositivity correlates with broad T cell reactivity of the structural virus proteins at 200 days after infection and beyond. The SARS-CoV-2-IGRA can facilitate large scale determination of SARS-CoV-2-specific T cell responses with high accuracy against multiple targets.

Sections du résumé

Background
Adaptive immune responses to structural proteins of the virion play a crucial role in protection against coronavirus disease 2019 (COVID-19). We therefore studied T cell responses against multiple SARS-CoV-2 structural proteins in a large cohort using a simple, fast, and high-throughput approach.
Methods
An automated interferon gamma release assay (IGRA) for the Nucleocapsid (NC)-, Membrane (M)-, Spike-C-terminus (SCT)-, and N-terminus-protein (SNT)-specific T cell responses was performed using fresh whole blood from study subjects with convalescent, confirmed COVID-19 (n = 177, more than 200 days post infection), exposed household members (n = 145), and unexposed controls (n = 85). SARS-CoV-2-specific antibodies were assessed using Elecsys
Results
156 of 177 (88%) previously PCR confirmed cases were still positive by Ro-N-Ig more than 200 days after infection. In T cells, most frequently the M-protein was targeted by 88% seropositive, PCR confirmed cases, followed by SCT (85%), NC (82%), and SNT (73%), whereas each of these antigens was recognized by less than 14% of non-exposed control subjects. Broad targeting of these structural virion proteins was characteristic of convalescent SARS-CoV-2 infection; 68% of all seropositive individuals targeted all four tested antigens. Indeed, anti-NC antibody titer correlated loosely, but significantly with the magnitude and breadth of the SARS-CoV-2-specific T cell response. Age, sex, and body mass index were comparable between the different groups.
Conclusion
SARS-CoV-2 seropositivity correlates with broad T cell reactivity of the structural virus proteins at 200 days after infection and beyond. The SARS-CoV-2-IGRA can facilitate large scale determination of SARS-CoV-2-specific T cell responses with high accuracy against multiple targets.

Identifiants

pubmed: 34093595
doi: 10.3389/fimmu.2021.688436
pmc: PMC8173205
doi:

Substances chimiques

Antibodies, Viral 0
Viral Structural Proteins 0
Interferon-gamma 82115-62-6

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

688436

Informations de copyright

Copyright © 2021 Brand, Gilberg, Bruger, Garí, Wieser, Eser, Frese, Ahmed, Rubio-Acero, Guggenbuehl Noller, Castelletti, Diekmannshemke, Thiesbrummel, Huynh, Winter, Kroidl, Fuchs, Hoelscher, Roider, Kobold, Pritsch and Geldmacher.

Déclaration de conflit d'intérêts

MP reports grant and non-financial support from Bavarian Ministry for Science and the Arts, non-financial support from Euroimmun, and non-financial support from Roche, during the conduct of the study. JB reports grant and non-financial support from Bavarian Ministry for Science and the Arts. IB and LG report non-financial support from Euroimmun. AW reports personal fees and non-financial support from Roche Diagnostics, non-financial support from Euroimmun, non-financial support from Viramed, non-financial support from Mikrogen, grants, non-financial support and other from German Center for Infection Research DZIF, grants and non-financial support from Government of Bavaria, non-financial support from BMW, non-financial support from Munich Police, from LGL, non-financial support and other from Accenture, during the conduct of the study; non-financial support and other from Bielefeld University, non-financial support and other from Bonn University, non-financial support and other from Helmholtz München, non-financial support and other from Bundeswehr (German army), personal fees and non-financial support from Dr.Box-Betrobox, non-financial support from Dr. Becker MVZ, outside the submitted work; In addition, AW has a patent Sample System for Diagnostics of SARS-CoV-2 pending to Wieser, Hoelscher, Becker. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Isabel Brand (I)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany.

Leonard Gilberg (L)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
Department of Infectious Diseases, University Hospital, LMU Munich, Munich, Germany.

Jan Bruger (J)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.

Mercè Garí (M)

Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU), Neuherberg, Germany.

Andreas Wieser (A)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.

Tabea M Eser (TM)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.

Jonathan Frese (J)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.

Mohamed I M Ahmed (MIM)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.

Raquel Rubio-Acero (R)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.

Jessica M Guggenbuehl Noller (JM)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.

Noemi Castelletti (N)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.

Jana Diekmannshemke (J)

Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU), Neuherberg, Germany.
Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany.

Sophie Thiesbrummel (S)

Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU), Neuherberg, Germany.
Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany.

Duc Huynh (D)

Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany.

Simon Winter (S)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.

Inge Kroidl (I)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.

Christiane Fuchs (C)

Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU), Neuherberg, Germany.
Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany.
Center for Mathematics, Technische Universität München, Garching, Germany.

Michael Hoelscher (M)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.
Center for International Health (CIH), University Hospital, LMU Munich, Munich, Germany.

Julia Roider (J)

Department of Infectious Diseases, University Hospital, LMU Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.

Sebastian Kobold (S)

Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, LMU Munich, Munich, Germany.
German Center for Translational Cancer Research (DKTK), Partner Site Munich, Munich, Germany.
Unit for Clinical Pharmacology (EKLiP), Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU), Neuherberg, Germany.

Michael Pritsch (M)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.

Christof Geldmacher (C)

Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany.
German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.

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