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Elyanow R, Snyder TM, Dalai SC, Gittelman RM, Boonyaratanakornkit J, Wald A, Selke S, Wener MH, Morishima C, Greninger AL, Gale M, Hsiang TY, Jing L, Holbrook MR, Kaplan IM, Zahid HJ, May DH, Carlson JM, Baldo L, Manley T, Robins HS, Koelle DM. T cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibodies and disease severity. JCI Insight 2022; 7:e150070. [PMID: 35439166 PMCID: PMC9220924 DOI: 10.1172/jci.insight.150070] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 04/15/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUNDMeasuring the immune response to SARS-CoV-2 enables assessment of past infection and protective immunity. SARS-CoV-2 infection induces humoral and T cell responses, but these responses vary with disease severity and individual characteristics.METHODSA T cell receptor (TCR) immunosequencing assay was conducted using small-volume blood samples from 302 individuals recovered from COVID-19. Correlations between the magnitude of the T cell response and neutralizing antibody (nAb) titers or indicators of disease severity were evaluated. Sensitivity of T cell testing was assessed and compared with serologic testing.RESULTSSARS-CoV-2-specific T cell responses were significantly correlated with nAb titers and clinical indicators of disease severity, including hospitalization, fever, and difficulty breathing. Despite modest declines in depth and breadth of T cell responses during convalescence, high sensitivity was observed until at least 6 months after infection, with overall sensitivity ~5% greater than serology tests for identifying prior SARS-CoV-2 infection. Improved performance of T cell testing was most apparent in recovered, nonhospitalized individuals sampled > 150 days after initial illness, suggesting greater sensitivity than serology at later time points and in individuals with less severe disease. T cell testing identified SARS-CoV-2 infection in 68% (55 of 81) of samples with undetectable nAb titers (<1:40) and in 37% (13 of 35) of samples classified as negative by 3 antibody assays.CONCLUSIONThese results support TCR-based testing as a scalable, reliable measure of past SARS-CoV-2 infection with clinical value beyond serology.TRIAL REGISTRATIONSpecimens were accrued under trial NCT04338360 accessible at clinicaltrials.gov.FUNDINGThis work was funded by Adaptive Biotechnologies, Frederick National Laboratory for Cancer Research, NIAID, Fred Hutchinson Joel Meyers Endowment, Fast Grants, and American Society for Transplantation and Cell Therapy.
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Affiliation(s)
| | | | - Sudeb C. Dalai
- Adaptive Biotechnologies, Seattle, Washington, USA
- Stanford University School of Medicine, Stanford, California, USA
| | | | - Jim Boonyaratanakornkit
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Anna Wald
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology
- Department of Laboratory Medicine and Pathology
| | - Stacy Selke
- Department of Laboratory Medicine and Pathology
| | - Mark H. Wener
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology
| | | | | | - Michael Gale
- Department of Immunology
- Department of Microbiology, and
- Department of Global Health, University of Washington, Seattle, Washington, USA
| | | | - Lichen Jing
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Michael R. Holbrook
- National Institute of Allergy and Infectious Diseases (NIAID) Integrated Research Facility, Frederick, Maryland, USA
| | | | | | - Damon H. May
- Adaptive Biotechnologies, Seattle, Washington, USA
| | | | - Lance Baldo
- Adaptive Biotechnologies, Seattle, Washington, USA
| | | | | | - David M. Koelle
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology
- Department of Global Health, University of Washington, Seattle, Washington, USA
- Benaroya Research Institute, Seattle, Washington, USA
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Gittelman RM, Lavezzo E, Snyder TM, Zahid HJ, Carty CL, Elyanow R, Dalai S, Kirsch I, Baldo L, Manuto L, Franchin E, Del Vecchio C, Pacenti M, Boldrin C, Cattai M, Saluzzo F, Padoan A, Plebani M, Simeoni F, Bordini J, Lorè NI, Lazarević D, Cirillo DM, Ghia P, Toppo S, Carlson JM, Robins HS, Crisanti A, Tonon G. Longitudinal analysis of T cell receptor repertoires reveals shared patterns of antigen-specific response to SARS-CoV-2 infection. JCI Insight 2022; 7:e151849. [PMID: 35439174 PMCID: PMC9220833 DOI: 10.1172/jci.insight.151849] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 04/13/2022] [Indexed: 11/22/2022] Open
Abstract
T cells play a prominent role in orchestrating the immune response to viral diseases, but their role in the clinical presentation and subsequent immunity to SARS-CoV-2 infection remains poorly understood. As part of a population-based survey of the municipality of Vo', Italy, conducted after the initial SARS-CoV-2 outbreak, we sampled the T cell receptor (TCR) repertoires of the population 2 months after the initial PCR survey and followed up positive cases 9 and 15 months later. At 2 months, we found that 97.0% (98 of 101) of cases had elevated levels of TCRs associated with SARS-CoV-2. T cell frequency (depth) was increased in individuals with more severe disease. Both depth and diversity (breadth) of the TCR repertoire were positively associated with neutralizing antibody titers, driven mostly by CD4+ T cells directed against spike protein. At the later time points, detection of these TCRs remained high, with 90.7% (78 of 96) and 86.2% (25 of 29) of individuals having detectable signal at 9 and 15 months, respectively. Forty-three individuals were vaccinated by month 15 and showed a significant increase in TCRs directed against spike protein. Taken together, these results demonstrate the central role of T cells in mounting an immune defense against SARS-CoV-2 that persists out to 15 months.
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Affiliation(s)
| | - Enrico Lavezzo
- Department of Molecular Medicine, University of Padova, Padua, Italy
| | | | | | | | | | - Sudeb Dalai
- Adaptive Biotechnologies, Seattle, Washington, USA
- Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Ilan Kirsch
- Adaptive Biotechnologies, Seattle, Washington, USA
| | - Lance Baldo
- Adaptive Biotechnologies, Seattle, Washington, USA
| | - Laura Manuto
- Department of Molecular Medicine, University of Padova, Padua, Italy
| | - Elisa Franchin
- Department of Molecular Medicine, University of Padova, Padua, Italy
| | | | - Monia Pacenti
- Azienda Ospedale Padova, Microbiology and Virology Unit, Padua, Italy
| | - Caterina Boldrin
- Azienda Ospedale Padova, Microbiology and Virology Unit, Padua, Italy
| | - Margherita Cattai
- Azienda Ospedale Padova, Microbiology and Virology Unit, Padua, Italy
| | - Francesca Saluzzo
- Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Andrea Padoan
- Department of Medicine, University of Padova, Padua, Italy
| | - Mario Plebani
- Department of Medicine, University of Padova, Padua, Italy
| | | | - Jessica Bordini
- Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Nicola I. Lorè
- Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Daniela M. Cirillo
- Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Paolo Ghia
- Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Stefano Toppo
- Department of Molecular Medicine, University of Padova, Padua, Italy
- CRIBI Biotech Center, University of Padova, Padua, Italy
| | | | | | - Andrea Crisanti
- Department of Molecular Medicine, University of Padova, Padua, Italy
- Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Giovanni Tonon
- Center for Omics Sciences and
- Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
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3
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Snyder TM, Gittelman RM, Klinger M, May DH, Osborne EJ, Taniguchi R, Jabran Zahid H, Elyanow R, Dalai SC, Kaplan IM, Dines JN, Noakes MT, Pandya R, Baldo L, Semprini S, Cerchione C, Nicolini F, Mazza M, Delmonte OM, Dobbs K, Laguna-Goya R, Carreño-Tarragona G, Barrio S, Imberti L, Sottini A, Quiros-Roldan E, Rossi C, Biondi A, Bettini LR, D’Angio M, Bonfanti P, Tompkins MF, Alba C, Dalgard C, Sambri V, Martinelli G, Goldman JD, Heath JR, Su HC, Notarangelo LD, Paz-Artal E, Martinez-Lopez J, Carlson JM, Robins HS. 126. Magnitude and Dynamics of the T-Cell Response to SARS-CoV-2 Infection and Vaccination. Open Forum Infect Dis 2021. [PMCID: PMC8690367 DOI: 10.1093/ofid/ofab466.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background T cells are central to the early identification and clearance of viral infections and support antibody generation by B cells, making them desirable for assessing the immune response to SARS-CoV-2 infection and vaccines. We combined 2 high-throughput immune profiling methods to create a quantitative picture of the SARS-CoV-2 T-cell response that is highly sensitive, durable, diagnostic, and discriminatory between natural infection and vaccination. Methods We deeply characterized 116 convalescent COVID-19 subjects by experimentally mapping CD8 and CD4 T-cell responses via antigen stimulation to 545 Human Leukocyte Antigen (HLA) class I and 284 class II viral peptides. We also performed T-cell receptor (TCR) repertoire sequencing on 1815 samples from 1521 PCR-confirmed SARS-CoV-2 cases and 3500 controls to identify shared public TCRs from SARS-CoV-2-associated CD8 and CD4 T cells. Combining these approaches with additional samples from vaccinated individuals, we characterized the response to natural infection as well as vaccination by separating responses to spike protein from other viral targets. Results We find that T-cell responses are often driven by a few immunodominant, HLA-restricted epitopes. As expected, the SARS-CoV-2 T-cell response peaks about 1-2 weeks after infection and is detectable at least several months after recovery. Applying these data, we trained a classifier to diagnose past SARS-CoV-2 infection based solely on TCR sequencing from blood samples and observed, at 99.8% specificity, high sensitivity soon after diagnosis (Day 3–7 = 85.1%; Day 8–14 = 94.8%) that persists after recovery (Day 29+/convalescent = 95.4%). Finally, by evaluating TCRs binding epitopes targeting all non-spike SARS-CoV-2 proteins, we were able to separate natural infection from vaccination with > 99% specificity. Conclusion TCR repertoire sequencing from whole blood reliably measures the adaptive immune response to SARS-CoV-2 soon after viral antigenic exposure (before antibodies are typically detectable) as well as at later time points, and distinguishes post-infection vs. vaccine immune responses with high specificity. This approach to characterizing the cellular immune response has applications in clinical diagnostics as well as vaccine development and monitoring. Disclosures Thomas M. Snyder, PhD, Adaptive Biotechnologies (Employee, Shareholder) Rachel M. Gittelman, PhD, Adaptive Biotechnologies (Employee, Shareholder) Mark Klinger, PhD, Adaptive Biotechnologies (Employee, Shareholder) Damon H. May, PhD, Adaptive Biotechnologies (Employee, Shareholder) Edward J. Osborne, PhD, Adaptive Biotechnologies (Employee, Shareholder) Ruth Taniguchi, PhD, Adaptive Biotechnologies (Employee, Shareholder) H. Jabran Zahid, PhD, Microsoft Research (Employee, Shareholder) Rebecca Elyanow, PhD, Adaptive Biotechnologies (Employee, Shareholder) Sudeb C. Dalai, MD, PhD, Adaptive Biotechnologies (Employee, Shareholder) Ian M. Kaplan, PhD, Adaptive Biotechnologies (Employee, Shareholder) Jennifer N. Dines, MD, Adaptive Biotechnologies (Employee, Shareholder) Matthew T. Noakes, PhD, Adaptive Biotechnologies (Employee, Shareholder) Ravi Pandya, PhD, Microsoft Research (Employee, Shareholder) Lance Baldo, MD, Adaptive Biotechnologies (Employee, Shareholder, Leadership Interest) James R. Heath, PhD, Merck (Research Grant or Support, Funding (from BARDA) for the ISB INCOV project, but had no role in planning the research or in writing the paper.) Joaquin Martinez-Lopez, MD, PhD, Adaptive Biotechnologies (Consultant) Jonathan M. Carlson, PhD, Microsoft Research (Employee, Shareholder) Harlan S. Robins, PhD, Adaptive Biotechnologies (Board Member, Employee, Shareholder)
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Affiliation(s)
| | | | | | - Damon H May
- Adaptive Biotechnologies, Seattle, Washington
| | | | | | | | | | - Sudeb C Dalai
- Adaptive Biotechnologies and Stanford University School of Medicine, Seattle, Washington
| | | | | | | | | | - Lance Baldo
- Adaptive Biotechnologies, Seattle, Washington
| | - Simona Semprini
- Unit of Microbiology - The Great Romagna Hub Laboratory, Pievesestina ITALY and DIMES, University of Bologna, Bologna, Emilia-Romagna, Italy
| | - Claudio Cerchione
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Medola, Lombardia, Italy
| | - Fabio Nicolini
- Immunotherapy, Cell Therapy and Biobank (ITCB), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Medola, Lombardia, Italy
| | - Massimiliano Mazza
- Immunotherapy, Cell Therapy and Biobank (ITCB), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Medola, Lombardia, Italy
| | - Ottavia M Delmonte
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Kerry Dobbs
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Rocio Laguna-Goya
- Department of Immunology, Hospital 12de Octubre, i+12, Madrid, Madrid, Spain
| | | | - Santiago Barrio
- Hematology Department, Hospital 12de Octubre, i+12, CNIO, Complutense University, Madrid, Madrid, Spain
| | - Luisa Imberti
- Laboratorio CREA, Department of Infectious and Tropical Diseases, and Medical Officer, ASST Spedali Civili di Brescia and University of Brescia, Brescia, Lombardia, Italy
| | - Alessandra Sottini
- Laboratorio CREA, Department of Infectious and Tropical Diseases, and Medical Officer, ASST Spedali Civili di Brescia and University of Brescia, Brescia, Lombardia, Italy
| | - Eugenia Quiros-Roldan
- Laboratorio CREA, Department of Infectious and Tropical Diseases, and Medical Officer, ASST Spedali Civili di Brescia and University of Brescia, Brescia, Lombardia, Italy
| | - Camillo Rossi
- Department of Pediatrics and Centro Tettamanti-European Reference Network PaedCan, EuroBloodNet, MetabERN-University of Milano-Bicocca-Fondazione MBBM-Ospedale San Gerardo, Monza, Lombardia, Italy
| | - Andrea Biondi
- Hematology Department, Hospital 12de Octubre, i+12, CNIO, Complutense University, Madrid, Madrid, Spain
| | - Laura Rachele Bettini
- Department of Pediatrics and Centro Tettamanti-European Reference Network PaedCan, EuroBloodNet, MetabERN-University of Milano-Bicocca-Fondazione MBBM-Ospedale San Gerardo, Monza, Lombardia, Italy
| | - Mariella D’Angio
- Department of Pediatrics and Centro Tettamanti-European Reference Network PaedCan, EuroBloodNet, MetabERN-University of Milano-Bicocca-Fondazione MBBM-Ospedale San Gerardo, Monza, Lombardia, Italy
| | - Paolo Bonfanti
- Department of Infectious Diseases, University of Milano-Bicocca-Ospedale San Gerardo, Monza, Lombardia, Italy
| | - Miranda F Tompkins
- The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Camille Alba
- The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Clifton Dalgard
- The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, Maryland
| | - Vittorio Sambri
- Unit of Microbiology - The Great Romagna Hub Laboratory, Pievesestina ITALY and DIMES, University of Bologna, Bologna, Emilia-Romagna, Italy
| | - Giovanni Martinelli
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Medola, Lombardia, Italy
| | - Jason D Goldman
- Swedish Medical Center, Seattle, WA, USA, and Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington
| | - James R Heath
- Institute for Systems Biology, Seattle, WA, USA, Seattle, Washington
| | - Helen C Su
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland
| | - Luigi D Notarangelo
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Estela Paz-Artal
- Department of Immunology, Hospital 12de Octubre, i+12, Madrid, Madrid, Spain
| | - Joaquin Martinez-Lopez
- Hematology Department, Hospital 12de Octubre, i+12, CNIO, Complutense University, Madrid, Madrid, Spain
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4
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Elyanow R, Snyder TM, Dalai SC, Gittelman RM, Boonyaratanakornkit J, Wald A, Selke S, Wener MH, Morishima C, Greninger AL, Holbrook MR, Kaplan IM, Zahid HJ, Carlson JM, Baldo L, Manley T, Robins HS, Koelle DM. T-cell receptor sequencing identifies prior SARS-CoV-2 infection and correlates with neutralizing antibody titers and disease severity. medRxiv 2021:2021.03.19.21251426. [PMID: 33791723 PMCID: PMC8010755 DOI: 10.1101/2021.03.19.21251426] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Measuring the adaptive immune response to SARS-CoV-2 can enable the assessment of past infection as well as protective immunity and the risk of reinfection. While neutralizing antibody (nAb) titers are one measure of protection, such assays are challenging to perform at a large scale and the longevity of the SARS-CoV-2 nAb response is not fully understood. Here, we apply a T-cell receptor (TCR) sequencing assay that can be performed on a small volume standard blood sample to assess the adaptive T-cell response to SARS-CoV-2 infection. Samples were collected from a cohort of 302 individuals recovered from COVID-19 up to 6 months after infection. Previously published findings in this cohort showed that two commercially available SARS-CoV-2 serologic assays correlate well with nAb testing. We demonstrate that the magnitude of the SARS-CoV-2-specific T-cell response strongly correlates with nAb titer, as well as clinical indicators of disease severity including hospitalization, fever, or difficulty breathing. While the depth and breadth of the T-cell response declines during convalescence, the T-cell signal remains well above background with high sensitivity up to at least 6 months following initial infection. Compared to serology tests detecting binding antibodies to SARS-CoV-2 spike and nucleoprotein, the overall sensitivity of the TCR-based assay across the entire cohort and all timepoints was approximately 5% greater for identifying prior SARS-CoV-2 infection. Notably, the improved performance of T-cell testing compared to serology was most apparent in recovered individuals who were not hospitalized and were sampled beyond 150 days of their initial illness, suggesting that antibody testing may have reduced sensitivity in individuals who experienced less severe COVID-19 illness and at later timepoints. Finally, T-cell testing was able to identify SARS-CoV-2 infection in 68% (55/81) of convalescent samples having nAb titers below the lower limit of detection, as well as 37% (13/35) of samples testing negative by all three antibody assays. These results demonstrate the utility of a TCR-based assay as a scalable, reliable measure of past SARS-CoV-2 infection across a spectrum of disease severity. Additionally, the TCR repertoire may be useful as a surrogate for protective immunity with additive clinical value beyond serologic or nAb testing methods.
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Affiliation(s)
| | | | - Sudeb C. Dalai
- Adaptive Biotechnologies, Seattle, Washington, USA
- Stanford University School of Medicine, Stanford, California, USA
| | | | - Jim Boonyaratanakornkit
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Anna Wald
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Stacy Selke
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Mark H. Wener
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Chihiro Morishima
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Alex L. Greninger
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
| | - Michael R. Holbrook
- National Institute of Allergy and Infectious Diseases Integrated Research Facility, Frederick, Maryland, USA
| | | | | | | | - Lance Baldo
- Adaptive Biotechnologies, Seattle, Washington, USA
| | | | | | - David M. Koelle
- Department of Medicine, University of Washington, Seattle, Washington, USA
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA
- Department of Global Health, University of Washington, Seattle, Washington, USA
- Benaroya Research Institute, Seattle, Washington, USA
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5
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Snyder TM, Gittelman RM, Klinger M, May DH, Osborne EJ, Taniguchi R, Zahid HJ, Kaplan IM, Dines JN, Noakes MT, Pandya R, Chen X, Elasady S, Svejnoha E, Ebert P, Pesesky MW, De Almeida P, O'Donnell H, DeGottardi Q, Keitany G, Lu J, Vong A, Elyanow R, Fields P, Greissl J, Baldo L, Semprini S, Cerchione C, Nicolini F, Mazza M, Delmonte OM, Dobbs K, Laguna-Goya R, Carreño-Tarragona G, Barrio S, Imberti L, Sottini A, Quiros-Roldan E, Rossi C, Biondi A, Bettini LR, D'Angio M, Bonfanti P, Tompkins MF, Alba C, Dalgard C, Sambri V, Martinelli G, Goldman JD, Heath JR, Su HC, Notarangelo LD, Paz-Artal E, Martinez-Lopez J, Carlson JM, Robins HS. Magnitude and Dynamics of the T-Cell Response to SARS-CoV-2 Infection at Both Individual and Population Levels. medRxiv 2020:2020.07.31.20165647. [PMID: 32793919 PMCID: PMC7418734 DOI: 10.1101/2020.07.31.20165647] [Citation(s) in RCA: 94] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
T cells are involved in the early identification and clearance of viral infections and also support the development of antibodies by B cells. This central role for T cells makes them a desirable target for assessing the immune response to SARS-CoV-2 infection. Here, we combined two high-throughput immune profiling methods to create a quantitative picture of the T-cell response to SARS-CoV-2. First, at the individual level, we deeply characterized 3 acutely infected and 58 recovered COVID-19 subjects by experimentally mapping their CD8 T-cell response through antigen stimulation to 545 Human Leukocyte Antigen (HLA) class I presented viral peptides (class II data in a forthcoming study). Then, at the population level, we performed T-cell repertoire sequencing on 1,815 samples (from 1,521 COVID-19 subjects) as well as 3,500 controls to identify shared "public" T-cell receptors (TCRs) associated with SARS-CoV-2 infection from both CD8 and CD4 T cells. Collectively, our data reveal that CD8 T-cell responses are often driven by a few immunodominant, HLA-restricted epitopes. As expected, the T-cell response to SARS-CoV-2 peaks about one to two weeks after infection and is detectable for at least several months after recovery. As an application of these data, we trained a classifier to diagnose SARS-CoV-2 infection based solely on TCR sequencing from blood samples, and observed, at 99.8% specificity, high early sensitivity soon after diagnosis (Day 3-7 = 85.1% [95% CI = 79.9-89.7]; Day 8-14 = 94.8% [90.7-98.4]) as well as lasting sensitivity after recovery (Day 29+/convalescent = 95.4% [92.1-98.3]). These results demonstrate an approach to reliably assess the adaptive immune response both soon after viral antigenic exposure (before antibodies are typically detectable) as well as at later time points. This blood-based molecular approach to characterizing the cellular immune response has applications in clinical diagnostics as well as in vaccine development and monitoring.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Allen Vong
- Adaptive Biotechnologies, Seattle, WA, USA
| | | | | | | | | | - Simona Semprini
- Unit of Microbiology - The Great Romagna Hub Laboratory, Pievesestina ITALY and DIMES, University of Bologna, Bologna, Italy
| | - Claudio Cerchione
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Fabio Nicolini
- Immunotherapy, Cell Therapy and Biobank (ITCB), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, FC, Italy
| | - Massimiliano Mazza
- Immunotherapy, Cell Therapy and Biobank (ITCB), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, FC, Italy
| | - Ottavia M Delmonte
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Kerry Dobbs
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Rocio Laguna-Goya
- Department of Immunology, Hospital 12 de Octubre, i+12, CNIO, Complutense University, Madrid, Spain
| | | | - Santiago Barrio
- Hematology Department, Hospital 12 de Octubre, i+12, CNIO, Complutense University, Madrid, Spain
| | - Luisa Imberti
- Laboratorio CREA, Department of Infectious and Tropical Diseases, and Medical Officer, ASST Spedali Civili di Brescia and University of Brescia, Brescia, Italy
| | - Alessandra Sottini
- Laboratorio CREA, Department of Infectious and Tropical Diseases, and Medical Officer, ASST Spedali Civili di Brescia and University of Brescia, Brescia, Italy
| | - Eugenia Quiros-Roldan
- Laboratorio CREA, Department of Infectious and Tropical Diseases, and Medical Officer, ASST Spedali Civili di Brescia and University of Brescia, Brescia, Italy
| | - Camillo Rossi
- Laboratorio CREA, Department of Infectious and Tropical Diseases, and Medical Officer, ASST Spedali Civili di Brescia and University of Brescia, Brescia, Italy
| | - Andrea Biondi
- Department of Pediatrics and Centro Tettamanti-European Reference Network PaedCan, EuroBloodNet, MetabERN-University of Milano-Bicocca-Fondazione MBBM-Ospedale San Gerardo, Monza, IT
| | - Laura Rachele Bettini
- Department of Pediatrics and Centro Tettamanti-European Reference Network PaedCan, EuroBloodNet, MetabERN-University of Milano-Bicocca-Fondazione MBBM-Ospedale San Gerardo, Monza, IT
| | - Mariella D'Angio
- Department of Pediatrics and Centro Tettamanti-European Reference Network PaedCan, EuroBloodNet, MetabERN-University of Milano-Bicocca-Fondazione MBBM-Ospedale San Gerardo, Monza, IT
| | - Paolo Bonfanti
- Department of Infectious Diseases, University of Milano-Bicocca-Ospedale San Gerardo, Monza, IT
| | - Miranda F Tompkins
- The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Camille Alba
- The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Clifton Dalgard
- Department of Anatomy, Physiology & Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Vittorio Sambri
- Unit of Microbiology - The Great Romagna Hub Laboratory, Pievesestina ITALY and DIMES, University of Bologna, Bologna, Italy
| | - Giovanni Martinelli
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Jason D Goldman
- Swedish Medical Center, Seattle, WA, USA, and Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA
| | | | - Helen C Su
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Luigi D Notarangelo
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Estela Paz-Artal
- Department of Immunology, Hospital 12 de Octubre, i+12, CNIO, Complutense University, Madrid, Spain
| | - Joaquin Martinez-Lopez
- Hematology Department, Hospital 12 de Octubre, i+12, CNIO, Complutense University, Madrid, Spain
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Zahid HJ, Damjanov I, Geller MJ, Chilingarian I. QUIESCENT COMPACT GALAXIES AT INTERMEDIATE REDSHIFT IN THE COSMOS FIELD. II. THE FUNDAMENTAL PLANE OF MASSIVE GALAXIES. ACTA ACUST UNITED AC 2015. [DOI: 10.1088/0004-637x/806/1/122] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Affiliation(s)
- Martin D. Fivian
- Space Sciences Laboratory, University of California–Berkeley, Berkeley, CA 94720, USA
- Physics Department, University of California–Berkeley, Berkeley, CA 94720, USA
- Institute for Astronomy, University of Hawaii, Manoa, HI 96822, USA
| | - Hugh S. Hudson
- Space Sciences Laboratory, University of California–Berkeley, Berkeley, CA 94720, USA
- Physics Department, University of California–Berkeley, Berkeley, CA 94720, USA
- Institute for Astronomy, University of Hawaii, Manoa, HI 96822, USA
| | - Robert P. Lin
- Space Sciences Laboratory, University of California–Berkeley, Berkeley, CA 94720, USA
- Physics Department, University of California–Berkeley, Berkeley, CA 94720, USA
- Institute for Astronomy, University of Hawaii, Manoa, HI 96822, USA
| | - H. Jabran Zahid
- Space Sciences Laboratory, University of California–Berkeley, Berkeley, CA 94720, USA
- Physics Department, University of California–Berkeley, Berkeley, CA 94720, USA
- Institute for Astronomy, University of Hawaii, Manoa, HI 96822, USA
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