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
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...
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Published in | Frontiers in immunology Vol. 12; p. 688436 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , |
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Frontiers Media S.A
20.05.2021
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Abstract | 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
Anti-SARS-CoV-2 (Ro-N-Ig) and Anti-SARS-CoV-2-ELISA (IgG) (EI-S1-IgG).
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. |
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AbstractList | 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.BackgroundAdaptive 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® Anti-SARS-CoV-2 (Ro-N-Ig) and Anti-SARS-CoV-2-ELISA (IgG) (EI-S1-IgG).MethodsAn 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® Anti-SARS-CoV-2 (Ro-N-Ig) and Anti-SARS-CoV-2-ELISA (IgG) (EI-S1-IgG).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.Results156 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.ConclusionSARS-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. BackgroundAdaptive 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.MethodsAn 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® Anti-SARS-CoV-2 (Ro-N-Ig) and Anti-SARS-CoV-2-ELISA (IgG) (EI-S1-IgG).Results156 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.ConclusionSARS-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. 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 Anti-SARS-CoV-2 (Ro-N-Ig) and Anti-SARS-CoV-2-ELISA (IgG) (EI-S1-IgG). 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. |
Author | Castelletti, Noemi Wieser, Andreas Huynh, Duc Pritsch, Michael Rubio-Acero, Raquel Brand, Isabel Fuchs, Christiane Kobold, Sebastian Eser, Tabea M. Thiesbrummel, Sophie Frese, Jonathan Hoelscher, Michael Ahmed, Mohamed I. M. Diekmannshemke, Jana Geldmacher, Christof Gilberg, Leonard Bruger, Jan Roider, Julia Guggenbuehl Noller, Jessica M. Winter, Simon Garí, Mercè Kroidl, Inge |
AuthorAffiliation | 4 Institute of Computational Biology, Helmholtz Zentrum München – German Research Center for Environmental Health (HMGU) , Neuherberg , Germany 6 Faculty of Business Administration and Economics, Bielefeld University , Bielefeld , Germany 9 German Center for Translational Cancer Research (DKTK) , Partner Site Munich, Munich , Germany 2 Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, LMU Munich , Munich , Germany 1 Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich , Munich , Germany 8 Center for International Health (CIH), University Hospital, LMU Munich , Munich , Germany 5 German Center for Infection Research (DZIF) , Partner Site Munich, Munich , Germany 7 Center for Mathematics, Technische Universität München , Garching , Germany 10 Unit for Clinical Pharmacology (EKLiP), Helmholtz Zentrum München – German Research Center for Environmental Health (HMGU) , Neuherberg , Germany 3 Department |
AuthorAffiliation_xml | – name: 5 German Center for Infection Research (DZIF) , Partner Site Munich, Munich , Germany – name: 7 Center for Mathematics, Technische Universität München , Garching , Germany – name: 10 Unit for Clinical Pharmacology (EKLiP), Helmholtz Zentrum München – German Research Center for Environmental Health (HMGU) , Neuherberg , Germany – name: 4 Institute of Computational Biology, Helmholtz Zentrum München – German Research Center for Environmental Health (HMGU) , Neuherberg , Germany – name: 1 Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich , Munich , Germany – name: 3 Department of Infectious Diseases, University Hospital, LMU Munich , Munich , Germany – name: 8 Center for International Health (CIH), University Hospital, LMU Munich , Munich , Germany – name: 6 Faculty of Business Administration and Economics, Bielefeld University , Bielefeld , Germany – name: 2 Division of Clinical Pharmacology, Department of Medicine IV, University Hospital, LMU Munich , Munich , Germany – name: 9 German Center for Translational Cancer Research (DKTK) , Partner Site Munich, Munich , Germany |
Author_xml | – sequence: 1 givenname: Isabel surname: Brand fullname: Brand, Isabel – sequence: 2 givenname: Leonard surname: Gilberg fullname: Gilberg, Leonard – sequence: 3 givenname: Jan surname: Bruger fullname: Bruger, Jan – sequence: 4 givenname: Mercè surname: Garí fullname: Garí, Mercè – sequence: 5 givenname: Andreas surname: Wieser fullname: Wieser, Andreas – sequence: 6 givenname: Tabea M. surname: Eser fullname: Eser, Tabea M. – sequence: 7 givenname: Jonathan surname: Frese fullname: Frese, Jonathan – sequence: 8 givenname: Mohamed I. M. surname: Ahmed fullname: Ahmed, Mohamed I. M. – sequence: 9 givenname: Raquel surname: Rubio-Acero fullname: Rubio-Acero, Raquel – sequence: 10 givenname: Jessica M. surname: Guggenbuehl Noller fullname: Guggenbuehl Noller, Jessica M. – sequence: 11 givenname: Noemi surname: Castelletti fullname: Castelletti, Noemi – sequence: 12 givenname: Jana surname: Diekmannshemke fullname: Diekmannshemke, Jana – sequence: 13 givenname: Sophie surname: Thiesbrummel fullname: Thiesbrummel, Sophie – sequence: 14 givenname: Duc surname: Huynh fullname: Huynh, Duc – sequence: 15 givenname: Simon surname: Winter fullname: Winter, Simon – sequence: 16 givenname: Inge surname: Kroidl fullname: Kroidl, Inge – sequence: 17 givenname: Christiane surname: Fuchs fullname: Fuchs, Christiane – sequence: 18 givenname: Michael surname: Hoelscher fullname: Hoelscher, Michael – sequence: 19 givenname: Julia surname: Roider fullname: Roider, Julia – sequence: 20 givenname: Sebastian surname: Kobold fullname: Kobold, Sebastian – sequence: 21 givenname: Michael surname: Pritsch fullname: Pritsch, Michael – sequence: 22 givenname: Christof surname: Geldmacher fullname: Geldmacher, Christof |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34093595$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
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. 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 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 |
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Keywords | COVID-19 SARS-CoV-2 high through put interferon gamma release assay (IGRA) T cell response |
Language | English |
License | 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. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors share senior authorship Reviewed by: Kartika Padhan, National Institutes of Health (NIH), United States; Takuya Yamamoto, National Institutes of Biomedical Innovation, Health and Nutrition, Japan This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology These authors share first authorship Edited by: Constantinos Petrovas, Centre Hospitalier Universitaire Vaudois (CHUV), Switzerland |
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Snippet | Adaptive immune responses to structural proteins of the virion play a crucial role in protection against coronavirus disease 2019 (COVID-19). We therefore... BackgroundAdaptive immune responses to structural proteins of the virion play a crucial role in protection against coronavirus disease 2019 (COVID-19). We... |
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SubjectTerms | Adolescent Adult Aged Aged, 80 and over Antibodies, Viral - blood COVID-19 COVID-19 - blood COVID-19 - immunology Female high through put Humans Immunology interferon gamma release assay (IGRA) Interferon-gamma - immunology Interferon-gamma Release Tests Male Middle Aged SARS-CoV-2 SARS-CoV-2 - immunology T cell response T-Lymphocytes - immunology Viral Structural Proteins - immunology Young Adult |
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Title | 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 |
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