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Sheetikov SA, Khmelevskaya AA, Zornikova KV, Zvyagin IV, Shomuradova AS, Serdyuk YV, Shakirova NT, Peshkova IO, Titov A, Romaniuk DS, Shagina IA, Chudakov DM, Kiryukhin DO, Shcherbakova OV, Khamaganova EG, Dzutseva V, Afanasiev A, Bogolyubova AV, Efimov GA. Clonal structure and the specificity of vaccine-induced T cell response to SARS-CoV-2 Spike protein. Front Immunol 2024; 15:1369436. [PMID: 38629062 PMCID: PMC11018901 DOI: 10.3389/fimmu.2024.1369436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/19/2024] [Indexed: 04/19/2024] Open
Abstract
Adenovirus vaccines, particularly the COVID-19 Ad5-nCoV adenovirus vaccine, have emerged as promising tools in the fight against infectious diseases. In this study, we investigated the structure of the T cell response to the Spike protein of the SARS-CoV-2 virus used in the COVID-19 Ad5-nCoV adenoviral vaccine in a phase 3 clinical trial (NCT04540419). In 69 participants, we collected peripheral blood samples at four time points after vaccination or placebo injection. Sequencing of T cell receptor repertoires from Spike-stimulated T cell cultures at day 14 from 17 vaccinated revealed a more diverse CD4+ T cell repertoire compared to CD8+. Nevertheless, CD8+ clonotypes accounted for more than half of the Spike-specific repertoire. Our longitudinal analysis showed a peak T cell response at day 14, followed by a decline until month 6. Remarkably, multiple T cell clonotypes persisted for at least 6 months after vaccination, as demonstrated by ex vivo stimulation. Examination of CDR3 regions revealed homologous sequences in both CD4+ and CD8+ clonotypes, with major CD8+ clonotypes sharing high similarity with annotated sequences specific for the NYNYLYRLF peptide, suggesting potential immunodominance. In conclusion, our study demonstrates the immunogenicity of the Ad5-nCoV adenoviral vaccine and highlights its ability to induce robust and durable T cell responses. These findings provide valuable insight into the efficacy of the vaccine against COVID-19 and provide critical information for ongoing efforts to control infectious diseases.
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Affiliation(s)
- Saveliy A. Sheetikov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Alexandra A. Khmelevskaya
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Ksenia V. Zornikova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Ivan V. Zvyagin
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Alina S. Shomuradova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Yana V. Serdyuk
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Naina T. Shakirova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Iuliia O. Peshkova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Aleksei Titov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Dmitrii S. Romaniuk
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Irina A. Shagina
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Dmitry M. Chudakov
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
- Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Dmitry O. Kiryukhin
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Olga V. Shcherbakova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Ekaterina G. Khamaganova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Vitalina Dzutseva
- Novosibirsk State University, Medical School, Novosibirsk, Russia
- NPO Petrovax Pharm LLC, Moscow, Russia
| | | | | | - Grigory A. Efimov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
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Teixeira DG, Rodrigues-Neto JF, da Cunha DCS, Jeronimo SMB. Understanding SARS-CoV-2 spike glycoprotein clusters and their impact on immunity of the population from Rio Grande do Norte, Brazil. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 118:105556. [PMID: 38242186 DOI: 10.1016/j.meegid.2024.105556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/09/2024] [Accepted: 01/15/2024] [Indexed: 01/21/2024]
Abstract
SARS-CoV-2 genome underwent mutations since it started circulating within the human population. The aim of this study was to understand the fluctuation of the spike clusters concomitant to the population immunity either due to natural infection and/or vaccination in a state of Brazil that had both high rate of natural infection and vaccination coverage. A total of 1725 SARS-CoV-2 sequences from the state of Rio Grande do Norte, Brazil, were retrieved from GISAID and subjected to cluster analysis. Immunoinformatics were used to predict T- and B-cell epitopes, followed by simulation to estimate either pro- or anti-inflammatory responses and to correlate with circulating variants. From March 2020 to June 2022, the state of Rio Grande do Norte reported 579,931 COVID-19 cases with a 1.4% fatality rate across the three major waves: May-Sept 2020, Feb-Aug 2021, and Jan-Mar 2022. Cluster 0 variants (wild type strain, Zeta) were prevalent in the first wave and Delta (AY.*), which circulated in Brazil in the latter half of 2021, featuring fewer unique epitopes. Cluster 1 (Gamma (P.1 + P.1.*)) dominated the first half of 2021. Late 2021 had two new clusters, Cluster 2 (Omicron, (B.1.1.529 + BA.*)), and Cluster 3 (BA.*) with the most unique epitopes, in addition to Cluster 4 (Delta sub lineages) which emerged in the second half of 2021 with fewer unique epitopes. Cluster 1 epitopes showed a high pro-inflammatory propensity, while others exhibited a balanced cytokine induction. The clustering method effectively identified Spike groups that may contribute to immune evasion and clinical presentation, and explain in part the clinical outcome.
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Affiliation(s)
- Diego Gomes Teixeira
- Instituto de Medicina Tropical do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - João Firmino Rodrigues-Neto
- Instituto de Medicina Tropical do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil; Escola Multicampi de Ciências Médicas do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte, Caicó, Rio Grande do Norte, Brazil
| | - Dayse Caroline Severiano da Cunha
- Instituto de Medicina Tropical do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Selma Maria Bezerra Jeronimo
- Instituto de Medicina Tropical do Rio Grande do Norte, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil; Departmento de Bioquímica, Centro de Biociências, Universidade Federal do Rio Grande Norte, Natal, Rio Grande do Norte, Brazil; Instituto Nacional de Ciência e Tecnologia de Doenças Tropicais, Natal, Rio Grande do Norte, Brazil.
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Choy C, Chen J, Li J, Gallagher DT, Lu J, Wu D, Zou A, Hemani H, Baptiste BA, Wichmann E, Yang Q, Ciffelo J, Yin R, McKelvy J, Melvin D, Wallace T, Dunn C, Nguyen C, Chia CW, Fan J, Ruffolo J, Zukley L, Shi G, Amano T, An Y, Meirelles O, Wu WW, Chou CK, Shen RF, Willis RA, Ko MSH, Liu YT, De S, Pierce BG, Ferrucci L, Egan J, Mariuzza R, Weng NP. SARS-CoV-2 infection establishes a stable and age-independent CD8 + T cell response against a dominant nucleocapsid epitope using restricted T cell receptors. Nat Commun 2023; 14:6725. [PMID: 37872153 PMCID: PMC10593757 DOI: 10.1038/s41467-023-42430-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 10/11/2023] [Indexed: 10/25/2023] Open
Abstract
The resolution of SARS-CoV-2 replication hinges on cell-mediated immunity, wherein CD8+ T cells play a vital role. Nonetheless, the characterization of the specificity and TCR composition of CD8+ T cells targeting non-spike protein of SARS-CoV-2 before and after infection remains incomplete. Here, we analyzed CD8+ T cells recognizing six epitopes from the SARS-CoV-2 nucleocapsid (N) protein and found that SARS-CoV-2 infection slightly increased the frequencies of N-recognizing CD8+ T cells but significantly enhanced activation-induced proliferation compared to that of the uninfected donors. The frequencies of N-specific CD8+ T cells and their proliferative response to stimulation did not decrease over one year. We identified the N222-230 peptide (LLLDRLNQL, referred to as LLL thereafter) as a dominant epitope that elicited the greatest proliferative response from both convalescent and uninfected donors. Single-cell sequencing of T cell receptors (TCR) from LLL-specific CD8+ T cells revealed highly restricted Vα gene usage (TRAV12-2) with limited CDR3α motifs, supported by structural characterization of the TCR-LLL-HLA-A2 complex. Lastly, transcriptome analysis of LLL-specific CD8+ T cells from donors who had expansion (expanders) or no expansion (non-expanders) after in vitro stimulation identified increased chromatin modification and innate immune functions of CD8+ T cells in non-expanders. These results suggests that SARS-CoV-2 infection induces LLL-specific CD8+ T cell responses with a restricted TCR repertoire.
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Affiliation(s)
- Cecily Choy
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Joseph Chen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jiangyuan Li
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - D Travis Gallagher
- National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA
| | - Jian Lu
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Daichao Wu
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Ainslee Zou
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Humza Hemani
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Beverly A Baptiste
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Emily Wichmann
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Qian Yang
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jeffrey Ciffelo
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Rui Yin
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Julia McKelvy
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Denise Melvin
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Tonya Wallace
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Christopher Dunn
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Cuong Nguyen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Chee W Chia
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jinshui Fan
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Jeannie Ruffolo
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Linda Zukley
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | | | | | - Yang An
- Laboratory of Behavioral Neuroscience, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Osorio Meirelles
- Laboratory of Epidemiology & Population Sciences, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Wells W Wu
- Facility for Biotechnology Resources, CBER, Food and Drug Administration, Silver Spring, MD, USA
| | - Chao-Kai Chou
- Facility for Biotechnology Resources, CBER, Food and Drug Administration, Silver Spring, MD, USA
| | - Rong-Fong Shen
- Facility for Biotechnology Resources, CBER, Food and Drug Administration, Silver Spring, MD, USA
| | - Richard A Willis
- NIH Tetramer Core Facility at Emory University, Atlanta, GA, USA
| | | | | | - Supriyo De
- Computational Biology and Genomics Core, Laboratory of Genetics and Genomics, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Brian G Pierce
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Josephine Egan
- Laboratory of Clinical Investigation, National Institute on Aging, NIH, Baltimore, MD, USA
| | - Roy Mariuzza
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, MD, USA
| | - Nan-Ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, NIH, Baltimore, MD, USA.
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Chen Y, Mason GH, Scourfield DO, Greenshields-Watson A, Haigh TA, Sewell AK, Long HM, Gallimore AM, Rizkallah P, MacLachlan BJ, Godkin A. Structural definition of HLA class II-presented SARS-CoV-2 epitopes reveals a mechanism to escape pre-existing CD4 + T cell immunity. Cell Rep 2023; 42:112827. [PMID: 37471227 PMCID: PMC10840515 DOI: 10.1016/j.celrep.2023.112827] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/21/2023] [Accepted: 06/30/2023] [Indexed: 07/22/2023] Open
Abstract
CD4+ T cells recognize a broad range of peptide epitopes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which contribute to immune memory and limit COVID-19 disease. We demonstrate that the immunogenicity of SARS-CoV-2 peptides, in the context of the model allotype HLA-DR1, does not correlate with their binding affinity to the HLA heterodimer. Analyzing six epitopes, some with very low binding affinity, we solve X-ray crystallographic structures of each bound to HLA-DR1. Further structural definitions reveal the precise molecular impact of viral variant mutations on epitope presentation. Omicron escaped ancestral SARS-CoV-2 immunity to two epitopes through two distinct mechanisms: (1) mutations to TCR-facing epitope positions and (2) a mechanism whereby a single amino acid substitution caused a register shift within the HLA binding groove, completely altering the peptide-HLA structure. This HLA-II-specific paradigm of immune escape highlights how CD4+ T cell memory is finely poised at the level of peptide-HLA-II presentation.
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Affiliation(s)
- Yuan Chen
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Georgina H Mason
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - D Oliver Scourfield
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Alexander Greenshields-Watson
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Tracey A Haigh
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham B15 2TT, UK
| | - Andrew K Sewell
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Heather M Long
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham B15 2TT, UK
| | - Awen M Gallimore
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Pierre Rizkallah
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK
| | - Bruce J MacLachlan
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
| | - Andrew Godkin
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Systems Immunity University Research Institute, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK; Department of Gastroenterology & Hepatology, University Hospital of Wales, Cardiff CF14 4XW, UK.
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Shcherbinin DS, Karnaukhov VK, Zvyagin IV, Chudakov DM, Shugay M. Large-scale template-based structural modeling of T-cell receptors with known antigen specificity reveals complementarity features. Front Immunol 2023; 14:1224969. [PMID: 37649481 PMCID: PMC10464843 DOI: 10.3389/fimmu.2023.1224969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 07/27/2023] [Indexed: 09/01/2023] Open
Abstract
Introduction T-cell receptor (TCR) recognition of foreign peptides presented by the major histocompatibility complex (MHC) initiates the adaptive immune response against pathogens. While a large number of TCR sequences specific to different antigenic peptides are known to date, the structural data describing the conformation and contacting residues for TCR-peptide-MHC complexes is relatively limited. In the present study we aim to extend and analyze the set of available structures by performing highly accurate template-based modeling of these complexes using TCR sequences with known specificity. Methods Identification of CDR3 sequences and their further clustering, based on available spatial structures, V- and J-genes of corresponding T-cell receptors, and epitopes, was performed using the VDJdb database. Modeling of the selected CDR3 loops was conducted using a stepwise introduction of single amino acid substitutions to the template PDB structures, followed by optimization of the TCR-peptide-MHC contacting interface using the Rosetta package applications. Statistical analysis and recursive feature elimination procedures were carried out on computed energy values and properties of contacting amino acid residues between CDR3 loops and peptides, using R. Results Using the set of 29 complex templates (including a template with SARS-CoV-2 antigen) and 732 specificity records, we built a database of 1585 model structures carrying substitutions in either TCRα or TCRβ chains with some models representing the result of different mutation pathways for the same final structure. This database allowed us to analyze features of amino acid contacts in TCR - peptide interfaces that govern antigen recognition preferences and interpret these interactions in terms of physicochemical properties of interacting residues. Conclusion Our results provide a methodology for creating high-quality TCR-peptide-MHC models for antigens of interest that can be utilized to predict TCR specificity.
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Affiliation(s)
- Dmitrii S. Shcherbinin
- Institute of Translational Medicine, Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Laboratory of Structural Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia
| | - Vadim K. Karnaukhov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Ivan V. Zvyagin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - Dmitriy M. Chudakov
- Institute of Translational Medicine, Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
- Center of Molecular Medicine, Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czechia
| | - Mikhail Shugay
- Institute of Translational Medicine, Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
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Yue C, Wang P, Tian J, Gao GF, Liu K, Liu WJ. Seeing the T cell Immunity of SARS-CoV-2 and SARS-CoV: Believing the Epitope-Oriented Vaccines. Int J Biol Sci 2023; 19:4052-4060. [PMID: 37705735 PMCID: PMC10496500 DOI: 10.7150/ijbs.80468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 07/07/2023] [Indexed: 09/15/2023] Open
Abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the end of 2019 stimulated vigorous research efforts in immunology and vaccinology. In addition to innate immune responses, both virus-specific humoral and cellular immune responses are of importance for viral clearance. T cell epitopes play a central role in T cell-based immune responses. Herein, we summarized the peptide/major histocompatibility complex (pMHC) structures of the SARS-CoV-2-derived T cell epitopes available in the Protein Data Bank (PDB) and proposed the challenge and opportunities for using of T cell epitopes in future vaccine development efforts. A total of 27 SARS-CoV-2 related pMHC structures and five complexes with T cell receptors were retrieved. The peptides are mainly distributed on spike (S), nucleocapsid (N), and ORF1ab proteins. Most peptides are conserved among variants of concerns (VOCs) for SARS-CoV-2, except for several mutated peptides located in the S protein. The structures of human leukocyte antigen (HLA) complexed with seven epitopes derived from SARS-CoV were also retrieved, which showed a potential cross T cell immunity with SARS-CoV-2. Structural studies of antigenic peptides from SARS-CoV-2 and SARS-CoV help to visualize the processes and the mechanisms of cross T cell immunity. T cell epitope-oriented vaccines are potential next-generation vaccines for SARS-CoV-2, which are worthy of further investigation.
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Affiliation(s)
- Can Yue
- CAS Key Laboratory of Infection and Immunity, National Laboratory of Macromolecules, Institute of Biophysics, Chinese Academy of Sciences (CAS), Beijing, China
| | - Pengyan Wang
- Department of Pathogen Biology & Microbiology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jinmin Tian
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - George F. Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Kefang Liu
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
- Shenzhen Children's Hospital, Shenzhen, Guangdong, China
| | - William J. Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
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7
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Chen Y, Yu Y. Tau and neuroinflammation in Alzheimer's disease: interplay mechanisms and clinical translation. J Neuroinflammation 2023; 20:165. [PMID: 37452321 PMCID: PMC10349496 DOI: 10.1186/s12974-023-02853-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/12/2023] [Indexed: 07/18/2023] Open
Abstract
Alzheimer's Disease (AD) contributes to most cases of dementia. Its prominent neuropathological features are the extracellular neuritic plaques and intercellular neurofibrillary tangles composed of aggregated β-amyloid (Aβ) and hyperphosphorylated tau protein, respectively. In the past few decades, disease-modifying therapy targeting Aβ has been the focus of AD drug development. Even though it is encouraging that two of these drugs have recently received accelerated US Food and Drug Administration approval for AD treatment, their efficacy or long-term safety is controversial. Tau has received increasing attention as a potential therapeutic target, since evidence indicates that tau pathology is more associated with cognitive dysfunction. Moreover, inflammation, especially neuroinflammation, accompanies AD pathological processes and is also linked to cognitive deficits. Accumulating evidence indicates that inflammation has a complex and tight interplay with tau pathology. Here, we review recent evidence on the interaction between tau pathology, focusing on tau post-translational modification and dissemination, and neuroinflammatory responses, including glial cell activation and inflammatory signaling pathways. Then, we summarize the latest clinical trials targeting tau and neuroinflammation. Sustained and increased inflammatory responses in glial cells and neurons are pivotal cellular drivers and regulators of the exacerbation of tau pathology, which further contributes to its worsening by aggravating inflammatory responses. Unraveling the precise mechanisms underlying the relationship between tau pathology and neuroinflammation will provide new insights into the discovery and clinical translation of therapeutic targets for AD and other tau-related diseases (tauopathies). Targeting multiple pathologies and precision therapy strategies will be the crucial direction for developing drugs for AD and other tauopathies.
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Affiliation(s)
- Yijun Chen
- Shanghai Frontiers Science Center of Drug Target Identification and Delivery, Engineering Research Center of Cell and Therapeutic Antibody, Ministry of Education, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yang Yu
- Shanghai Frontiers Science Center of Drug Target Identification and Delivery, Engineering Research Center of Cell and Therapeutic Antibody, Ministry of Education, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, China.
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Duette G, Lee E, Martins Costa Gomes G, Tungatt K, Doyle C, Stylianou VV, Lee A, Maddocks S, Taylor J, Khanna R, Bull RA, Martinello M, Sandgren KJ, Cunningham AL, Palmer S. Highly Networked SARS-CoV-2 Peptides Elicit T Cell Responses with Enhanced Specificity. Immunohorizons 2023; 7:508-527. [PMID: 37358499 PMCID: PMC10580120 DOI: 10.4049/immunohorizons.2300034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/05/2023] [Indexed: 06/27/2023] Open
Abstract
Identifying SARS-CoV-2-specific T cell epitope-derived peptides is critical for the development of effective vaccines and measuring the duration of specific SARS-CoV-2 cellular immunity. In this regard, we previously identified T cell epitope-derived peptides within topologically and structurally essential regions of SARS-CoV-2 spike and nucleocapsid proteins by applying an immunoinformatics pipeline. In this study, we selected 30 spike- and nucleocapsid-derived peptides and assessed whether these peptides induce T cell responses and avoid major mutations found in SARS-CoV-2 variants of concern. Our peptide pool was highly specific, with only a single peptide driving cross-reactivity in people unexposed to SARS-COV-2, and immunogenic, inducing a polyfunctional response in CD4+ and CD8+ T cells from COVID-19 recovered individuals. All peptides were immunogenic and individuals recognized broad and diverse peptide repertoires. Moreover, our peptides avoided most mutations/deletions associated with all four SARS-CoV-2 variants of concern while retaining their physicochemical properties even when genetic changes are introduced. This study contributes to an evolving definition of individual CD4+ and CD8+ T cell epitopes that can be used for specific diagnostic tools for SARS-CoV-2 T cell responses and is relevant to the development of variant-resistant and durable T cell-stimulating vaccines.
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Affiliation(s)
- Gabriel Duette
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Eunok Lee
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Katie Tungatt
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
| | - Chloe Doyle
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Vicki V. Stylianou
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Ashley Lee
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
| | - Susan Maddocks
- Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, Westmead Hospital, Westmead, New South Wales, Australia
| | - Janette Taylor
- Centre for Infectious Diseases and Microbiology Laboratory Services, Institute of Clinical Pathology and Medical Research, Westmead Hospital, Westmead, New South Wales, Australia
| | - Rajiv Khanna
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Rowena A. Bull
- School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, New South Wales, Australia
- The Kirby Institute, UNSW Australia, Sydney, New South Wales, Australia
| | - Marianne Martinello
- The Kirby Institute, UNSW Australia, Sydney, New South Wales, Australia
- Westmead Hospital, Sydney, New South Wales, Australia
- Blacktown & Mount Druitt Hospital, Blacktown, New South Wales, Australia
| | - Kerrie J. Sandgren
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Anthony L. Cunningham
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Sarah Palmer
- Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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9
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Postovskaya A, Vujkovic A, de Block T, van Petersen L, van Frankenhuijsen M, Brosius I, Bottieau E, Van Dijck C, Theunissen C, van Ierssel SH, Vlieghe E, Bartholomeus E, Mullan K, Adriaensen W, Vanham G, Ogunjimi B, Laukens K, Vercauteren K, Meysman P. Leveraging T-cell receptor - epitope recognition models to disentangle unique and cross-reactive T-cell response to SARS-CoV-2 during COVID-19 progression/resolution. Front Immunol 2023; 14:1130876. [PMID: 37325653 PMCID: PMC10264683 DOI: 10.3389/fimmu.2023.1130876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/15/2023] [Indexed: 06/17/2023] Open
Abstract
Despite the general agreement on the significance of T cells during SARS-CoV-2 infection, the clinical impact of specific and cross-reactive T-cell responses remains uncertain. Understanding this aspect could provide insights for adjusting vaccines and maintaining robust long-term protection against continuously emerging variants. To characterize CD8+ T-cell response to SARS-CoV-2 epitopes unique to the virus (SC2-unique) or shared with other coronaviruses (CoV-common), we trained a large number of T-cell receptor (TCR) - epitope recognition models for MHC-I-presented SARS-CoV-2 epitopes from publicly available data. These models were then applied to longitudinal CD8+ TCR repertoires from critical and non-critical COVID-19 patients. In spite of comparable initial CoV-common TCR repertoire depth and CD8+ T-cell depletion, the temporal dynamics of SC2-unique TCRs differed depending on the disease severity. Specifically, while non-critical patients demonstrated a large and diverse SC2-unique TCR repertoire by the second week of the disease, critical patients did not. Furthermore, only non-critical patients exhibited redundancy in the CD8+ T-cell response to both groups of epitopes, SC2-unique and CoV-common. These findings indicate a valuable contribution of the SC2-unique CD8+ TCR repertoires. Therefore, a combination of specific and cross-reactive CD8+ T-cell responses may offer a stronger clinical advantage. Besides tracking the specific and cross-reactive SARS-CoV-2 CD8+ T cells in any TCR repertoire, our analytical framework can be expanded to more epitopes and assist in the assessment and monitoring of CD8+ T-cell response to other infections.
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Affiliation(s)
- Anna Postovskaya
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
- Biomedical Informatics Research Network Antwerp (BIOMINA), University of Antwerp, Antwerp, Belgium
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Clinical Virology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Alexandra Vujkovic
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Clinical Virology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Tessa de Block
- Clinical Virology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Lida van Petersen
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | | | - Isabel Brosius
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Emmanuel Bottieau
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Christophe Van Dijck
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
- Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Caroline Theunissen
- Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Sabrina H. van Ierssel
- Department of General Internal Medicine, Infectious Diseases and Tropical Medicine, Antwerp University Hospital, Edegem, Belgium
- Global Health Institute, University of Antwerp, Antwerp, Belgium
| | - Erika Vlieghe
- Department of General Internal Medicine, Infectious Diseases and Tropical Medicine, Antwerp University Hospital, Edegem, Belgium
| | - Esther Bartholomeus
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - Kerry Mullan
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
- Biomedical Informatics Research Network Antwerp (BIOMINA), University of Antwerp, Antwerp, Belgium
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
| | - Wim Adriaensen
- Clinical Immunology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Guido Vanham
- Global Health Institute, University of Antwerp, Antwerp, Belgium
| | - Benson Ogunjimi
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
- Centre for Health Economics Research & Modeling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Antwerp Center for Translational Immunology and Virology (ACTIV), Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
- Department of Paediatrics, Antwerp University Hospital, Antwerp, Belgium
| | - Kris Laukens
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
- Biomedical Informatics Research Network Antwerp (BIOMINA), University of Antwerp, Antwerp, Belgium
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
| | - Koen Vercauteren
- Clinical Virology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Pieter Meysman
- Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium
- Biomedical Informatics Research Network Antwerp (BIOMINA), University of Antwerp, Antwerp, Belgium
- Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium
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10
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Wu D, Efimov GA, Bogolyubova AV, Pierce BG, Mariuzza RA. Structural insights into protection against a SARS-CoV-2 spike variant by T cell receptor diversity. J Biol Chem 2023; 299:103035. [PMID: 36806685 PMCID: PMC9934920 DOI: 10.1016/j.jbc.2023.103035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 02/06/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
T cells play a crucial role in combatting SARS-CoV-2 and forming long-term memory responses to this coronavirus. The emergence of SARS-CoV-2 variants that can evade T cell immunity has raised concerns about vaccine efficacy and the risk of reinfection. Some SARS-CoV-2 T cell epitopes elicit clonally restricted CD8+ T cell responses characterized by T cell receptors (TCRs) that lack structural diversity. Mutations in such epitopes can lead to loss of recognition by most T cells specific for that epitope, facilitating viral escape. Here, we studied an HLA-A2-restricted spike protein epitope (RLQ) that elicits CD8+ T cell responses in COVID-19 convalescent patients characterized by highly diverse TCRs. We previously reported the structure of an RLQ-specific TCR (RLQ3) with greatly reduced recognition of the most common natural variant of the RLQ epitope (T1006I). Opposite to RLQ3, TCR RLQ7 recognizes T1006I with even higher functional avidity than the WT epitope. To explain the ability of RLQ7, but not RLQ3, to tolerate the T1006I mutation, we determined structures of RLQ7 bound to RLQ-HLA-A2 and T1006I-HLA-A2. These complexes show that there are multiple structural solutions to recognizing RLQ and thereby generating a clonally diverse T cell response to this epitope that assures protection against viral escape and T cell clonal loss.
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Affiliation(s)
- Daichao Wu
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China; W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA
| | | | | | - Brian G Pierce
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA
| | - Roy A Mariuzza
- W.M. Keck Laboratory for Structural Biology, University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA.
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11
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Xiao C, Ren Z, Zhang B, Mao L, Zhu G, Gao L, Su J, Ye J, Long Z, Zhu Y, Chen P, Su X, Zhou T, Huang Y, Chen X, Xie C, Yuan J, Hu Y, Zheng J, Wang Z, Lou J, Yang X, Kuang Z, Zhang H, Wang P, Liang X, Luo OJ, Chen G. Insufficient epitope-specific T cell clones are responsible for impaired cellular immunity to inactivated SARS-CoV-2 vaccine in older adults. NATURE AGING 2023; 3:418-435. [PMID: 37117789 PMCID: PMC10154213 DOI: 10.1038/s43587-023-00379-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 02/03/2023] [Indexed: 04/30/2023]
Abstract
Aging is a critical risk factor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine efficacy. The immune responses to inactivated vaccine for older adults, and the underlying mechanisms of potential differences to young adults, are still unclear. Here we show that neutralizing antibody production by older adults took a longer time to reach similar levels in young adults after inactivated SARS-CoV-2 vaccination. We screened SARS-CoV-2 variant strains for epitopes that stimulate specific CD8 T cell response, and older adults exhibited weaker CD8 T-cell-mediated responses to these epitopes. Comparison of lymphocyte transcriptomes from pre-vaccinated and post-vaccinated donors suggested that the older adults had impaired antigen processing and presentation capability. Single-cell sequencing revealed that older adults had less T cell clone expansion specific to SARS-CoV-2, likely due to inadequate immune receptor repertoire size and diversity. Our study provides mechanistic insights for weaker response to inactivated vaccine by older adults and suggests the need for further vaccination optimization for the old population.
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Affiliation(s)
- Chanchan Xiao
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
- Guangzhou Laboratory, Guangzhou, China
| | - Zhiyao Ren
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
- Guangzhou Geriatric Hospital, Guangzhou, China
- NHC Key Laboratory of Male Reproduction and Genetics, Guangzhou, China
- Department of Central Laboratory, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Bei Zhang
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
| | - Lipeng Mao
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
| | - Guodong Zhu
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
- Guangzhou Geriatric Hospital, Guangzhou, China
| | - Lijuan Gao
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Jun Su
- Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
| | - Jiezhou Ye
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Ze Long
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Yue Zhu
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China
| | - Pengfei Chen
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Xiangmeng Su
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Tong Zhou
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Yanhao Huang
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Xiongfei Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Chaojun Xie
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Jun Yuan
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Yutian Hu
- Meng Yi Center Limited, Macau, China
| | - Jingshan Zheng
- Shenzhen Kangtai Biological Products Co. Ltd, Shenzhen, China
| | - Zhigang Wang
- Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
| | | | - Xiang Yang
- Leidebio Bioscience Co., Ltd., Guangzhou, China
| | - Zhiqiang Kuang
- Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China
| | - Hongyi Zhang
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China
| | - Pengcheng Wang
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China.
| | - Xiaofeng Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
| | - Oscar Junhong Luo
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China.
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, China.
| | - Guobing Chen
- Department of Microbiology and Immunology; Institute of Geriatric Immunology; School of Medicine, Jinan University, Guangzhou, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, School of Medicine, Jinan University, Guangzhou, China.
- Guangzhou Laboratory, Guangzhou, China.
- Affiliated Huaqiao Hospital, Jinan University, Guangzhou, China.
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12
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Zornikova KV, Sheetikov SA, Rusinov AY, Iskhakov RN, Bogolyubova AV. Architecture of the SARS-CoV-2-specific T cell repertoire. Front Immunol 2023; 14:1070077. [PMID: 37020560 PMCID: PMC10067759 DOI: 10.3389/fimmu.2023.1070077] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 03/08/2023] [Indexed: 03/22/2023] Open
Abstract
The T cell response plays an indispensable role in the early control and successful clearance of SARS-CoV-2 infection. However, several important questions remain about the role of cellular immunity in COVID-19, including the shape and composition of disease-specific T cell repertoires across convalescent patients and vaccinated individuals, and how pre-existing T cell responses to other pathogens—in particular, common cold coronaviruses—impact susceptibility to SARS-CoV-2 infection and the subsequent course of disease. This review focuses on how the repertoire of T cell receptors (TCR) is shaped by natural infection and vaccination over time. We also summarize current knowledge regarding cross-reactive T cell responses and their protective role, and examine the implications of TCR repertoire diversity and cross-reactivity with regard to the design of vaccines that confer broader protection against SARS-CoV-2 variants.
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Affiliation(s)
- Ksenia V. Zornikova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
| | - Saveliy A. Sheetikov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Alexander Yu Rusinov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Rustam N. Iskhakov
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Apollinariya V. Bogolyubova
- Laboratory of Transplantation Immunology, National Medical Research Center for Hematology, Moscow, Russia
- *Correspondence: Apollinariya V. Bogolyubova,
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13
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Zhang J, Xia Y, Liu X, Liu G. Advanced Vaccine Design Strategies against SARS-CoV-2 and Emerging Variants. Bioengineering (Basel) 2023; 10:bioengineering10020148. [PMID: 36829642 PMCID: PMC9951973 DOI: 10.3390/bioengineering10020148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/13/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
Vaccination is the most cost-effective means in the fight against infectious diseases. Various kinds of vaccines have been developed since the outbreak of COVID-19, some of which have been approved for clinical application. Though vaccines available achieved partial success in protecting vaccinated subjects from infection or hospitalization, numerous efforts are still needed to end the global pandemic, especially in the case of emerging new variants. Safe and efficient vaccines are the key elements to stop the pandemic from attacking the world now; novel and evolving vaccine technologies are urged in the course of fighting (re)-emerging infectious diseases. Advances in biotechnology offered the progress of vaccinology in the past few years, and lots of innovative approaches have been applied to the vaccine design during the ongoing pandemic. In this review, we summarize the state-of-the-art vaccine strategies involved in controlling the transmission of SARS-CoV-2 and its variants. In addition, challenges and future directions for rational vaccine design are discussed.
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Affiliation(s)
- Jianzhong Zhang
- Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Yutian Xia
- Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Xuan Liu
- Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
| | - Gang Liu
- Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
- Innovation Center for Cell Biology, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen 361102, China
- Correspondence:
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14
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Jin X, Liu X, Shen C. A systemic review of T-cell epitopes defined from the proteome of SARS-CoV-2. Virus Res 2023; 324:199024. [PMID: 36526016 PMCID: PMC9757803 DOI: 10.1016/j.virusres.2022.199024] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/10/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection remains in a global pandemic, and no eradicative therapy is currently available. Host T cells have been shown to play a crucial role in the antiviral immune protection and pathology in Coronavirus disease 2019 (COVID-19) patients; thus, identifying sufficient T-cell epitopes from the SARS-CoV-2 proteome can contribute greatly to the development of T-cell epitope vaccines and the precise evaluation of host SARS-CoV-2-specific cellular immunity. This review presents a comprehensive map of T-cell epitopes functionally validated from SARS-CoV-2 antigens, the human leukocyte antigen (HLA) supertypes to present these epitopes, and the strategies to screen and identify T-cell epitopes. To the best of our knowledge, a total of 1349 CD8+ T-cell epitopes and 790 CD4+ T-cell epitopes have been defined by functional experiments thus far, but most are presented by approximately twenty common HLA supertypes, such as HLA-A0201, A2402, B0702, DR15, DR7 and DR11 molecules, and 74-80% of the T-cell epitopes are derived from S protein and nonstructural protein. These data provide useful insight into the development of vaccines and specific T-cell detection systems. However, the currently defined T-cell epitope repertoire cannot cover the HLA polymorphism of major populations in an indicated geographic region. More research is needed to depict an overall landscape of T-cell epitopes, which covers the overall SARS-CoV-2 proteome and global patients.
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Affiliation(s)
- Xiaoxiao Jin
- Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China 225002; Department of Microbiology and Immunology, Medical School of Southeast University, Nanjing, Jiangsu, China 210009
| | - Xiaotao Liu
- Department of Microbiology and Immunology, Medical School of Southeast University, Nanjing, Jiangsu, China 210009
| | - Chuanlai Shen
- Department of Microbiology and Immunology, Medical School of Southeast University, Nanjing, Jiangsu, China 210009.
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15
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Clonal diversity predicts persistence of SARS-CoV-2 epitope-specific T-cell response. Commun Biol 2022; 5:1351. [PMID: 36494499 PMCID: PMC9734123 DOI: 10.1038/s42003-022-04250-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/11/2022] [Indexed: 12/13/2022] Open
Abstract
T cells play a pivotal role in reducing disease severity during SARS-CoV-2 infection and formation of long-term immune memory. We studied 50 COVID-19 convalescent patients and found that T cell response was induced more frequently and persisted longer than circulating antibodies. We identified 756 clonotypes specific to nine CD8+ T cell epitopes. Some epitopes were recognized by highly similar public clonotypes. Receptors for other epitopes were extremely diverse, suggesting alternative modes of recognition. We tracked persistence of epitope-specific response and individual clonotypes for a median of eight months after infection. The number of recognized epitopes per patient and quantity of epitope-specific clonotypes decreased over time, but the studied epitopes were characterized by uneven decline in the number of specific T cells. Epitopes with more clonally diverse TCR repertoires induced more pronounced and durable responses. In contrast, the abundance of specific clonotypes in peripheral circulation had no influence on their persistence.
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16
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Fujii SI, Yamasaki S, Iyoda T, Shimizu K. Association of cellular immunity with severity of COVID-19 from the perspective of antigen-specific memory T cell responses and cross-reactivity. Inflamm Regen 2022; 42:50. [PMCID: PMC9706959 DOI: 10.1186/s41232-022-00239-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/10/2022] [Indexed: 11/30/2022] Open
Abstract
AbstractCoronaviruses regularly cause outbreaks of zoonotic diseases characterized by severe pneumonia. The new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused the global pandemic disease COVID-19 that began at the end of 2019 and spread rapidly owing to its infectious nature and rapidly progressing pneumonia. Although the infectivity of SARS-CoV-2 is high, indicated by the worldwide spread of the disease in a very short period, many individuals displayed only subclinical infection, and some of them transmitted the disease to individuals who then developed a severe symptomatic infection. Furthermore, there are differences in the severity of infection across countries, which can be attributed to factors such as the emergence of viral mutations in a short period of time as well as to the immune responses to viral factors. Anti-viral immunity generally consists of neutralizing antibodies that block viral infection and cytotoxic CD8+ T cells that eliminate the virus-infected cells. There is compelling evidence for the role of neutralizing antibodies in protective immunity in SARS-CoV-2 infection. However, the role of CD4+ and CD8+ T cells after the viral entry is complex and warrants a comprehensive discussion. Here, we discuss the protection afforded by cellular immunity against initial infection and development of severe disease. The initial failure of cellular immunity to control the infection worsens the clinical outcomes and functional profiles that inflict tissue damage without effectively eliminating viral reservoirs, while robust T cell responses are associated with mild outcomes. We also discuss persistent long-lasting memory T cell-mediated protection after infection or vaccination, which is rather complicated as it may involve SARS-CoV-2-specific cytotoxic T lymphocytes or cross-reactivity with previously infected seasonal coronaviruses, which are largely related to HLA genotypes. In addition, cross-reactivity with mutant strains is also discussed. Lastly, we discuss appropriate measures to be taken against the disease for immunocompromised patients. In conclusion, we provide evidence and discuss the causal relationship between natural infection- or vaccine-mediated memory T cell immunity and severity of COVID-19. This review is expected to provide a basis to develop strategies for the next generation of T cell-focused vaccines and aid in ending the current pandemic.
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17
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Shafqat A, Omer MH, Ahmad O, Niaz M, Abdulkader HS, Shafqat S, Mushtaq AH, Shaik A, Elshaer AN, Kashir J, Alkattan K, Yaqinuddin A. SARS-CoV-2 epitopes inform future vaccination strategies. Front Immunol 2022; 13:1041185. [PMID: 36505475 PMCID: PMC9732895 DOI: 10.3389/fimmu.2022.1041185] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 11/11/2022] [Indexed: 11/27/2022] Open
Abstract
All currently approved COVID-19 vaccines utilize the spike protein as their immunogen. SARS-CoV-2 variants of concern (VOCs) contain mutations in the spike protein, enabling them to escape infection- and vaccination-induced immune responses to cause reinfection. New vaccines are hence being researched intensively. Studying SARS-CoV-2 epitopes is essential for vaccine design, as identifying targets of broadly neutralizing antibody responses and immunodominant T-cell epitopes reveal candidates for inclusion in next-generation COVID-19 vaccines. We summarize the major studies which have reported on SARS-CoV-2 antibody and T-cell epitopes thus far. These results suggest that a future of pan-coronavirus vaccines, which not only protect against SARS-CoV-2 but numerous other coronaviruses, may be possible. The T-cell epitopes of SARS-CoV-2 have gotten less attention than neutralizing antibody epitopes but may provide new strategies to control SARS-CoV-2 infection. T-cells target many SARS-CoV-2 antigens other than spike, recognizing numerous epitopes within these antigens, thereby limiting the chance of immune escape by VOCs that mainly possess spike protein mutations. Therefore, augmenting vaccination-induced T-cell responses against SARS-CoV-2 may provide adequate protection despite broad antibody escape by VOCs.
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Affiliation(s)
- Areez Shafqat
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia,*Correspondence: Areez Shafqat,
| | - Mohamed H. Omer
- School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Omar Ahmad
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | - Mahnoor Niaz
- Medical College, Aga Khan University, Karachi, Pakistan
| | | | | | | | - Abdullah Shaik
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
| | | | - Junaid Kashir
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia,Department of Comparative Medicine, King Faisal Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Khaled Alkattan
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
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18
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Kombe Kombe AJ, Biteghe FAN, Ndoutoume ZN, Jin T. CD8 + T-cell immune escape by SARS-CoV-2 variants of concern. Front Immunol 2022; 13:962079. [PMID: 36389664 PMCID: PMC9647062 DOI: 10.3389/fimmu.2022.962079] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 10/03/2022] [Indexed: 07/30/2023] Open
Abstract
Despite the efficacy of antiviral drug repositioning, convalescent plasma (CP), and the currently available vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the worldwide coronavirus disease 2019 (COVID-19) pandemic is still challenging because of the ongoing emergence of certain new SARS-CoV-2 strains known as variants of concern (VOCs). Mutations occurring within the viral genome, characterized by these new emerging VOCs, confer on them the ability to efficiently resist and escape natural and vaccine-induced humoral and cellular immune responses. Consequently, these VOCs have enhanced infectivity, increasing their stable spread in a given population with an important fatality rate. While the humoral immune escape process is well documented, the evasion mechanisms of VOCs from cellular immunity are not well elaborated. In this review, we discussed how SARS-CoV-2 VOCs adapt inside host cells and escape anti-COVID-19 cellular immunity, focusing on the effect of specific SARS-CoV-2 mutations in hampering the activation of CD8+ T-cell immunity.
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Affiliation(s)
- Arnaud John Kombe Kombe
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China (USTC), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | | | - Zélia Nelly Ndoutoume
- The Second Clinical School, Medical Imaging, Chongqing Medical University, Chongqing, China
| | - Tengchuan Jin
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of University of Science and Technology of China (USTC), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Laboratory of Structural Immunology, Chinese Academic of Sciences Key Laboratory of Innate Immunity and Chronic Disease, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Chinese Academic of Sciences (CAS) Center for Excellence in Molecular Cell Science, Chinese Academy of Science, Shanghai, China
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19
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Dolton G, Rius C, Hasan MS, Wall A, Szomolay B, Behiry E, Whalley T, Southgate J, Fuller A, Morin T, Topley K, Tan LR, Goulder PJR, Spiller OB, Rizkallah PJ, Jones LC, Connor TR, Sewell AK. Emergence of immune escape at dominant SARS-CoV-2 killer T cell epitope. Cell 2022; 185:2936-2951.e19. [PMID: 35931021 PMCID: PMC9279490 DOI: 10.1016/j.cell.2022.07.002] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 05/08/2022] [Accepted: 07/07/2022] [Indexed: 01/06/2023]
Abstract
We studied the prevalent cytotoxic CD8 T cell response mounted against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Spike glycoprotein269-277 epitope (sequence YLQPRTFLL) via the most frequent human leukocyte antigen (HLA) class I worldwide, HLA A∗02. The Spike P272L mutation that has arisen in at least 112 different SARS-CoV-2 lineages to date, including in lineages classified as "variants of concern," was not recognized by the large CD8 T cell response seen across cohorts of HLA A∗02+ convalescent patients and individuals vaccinated against SARS-CoV-2, despite these responses comprising of over 175 different individual T cell receptors. Viral escape at prevalent T cell epitopes restricted by high frequency HLAs may be particularly problematic when vaccine immunity is focused on a single protein such as SARS-CoV-2 Spike, providing a strong argument for inclusion of multiple viral proteins in next generation vaccines and highlighting the need for monitoring T cell escape in new SARS-CoV-2 variants.
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Affiliation(s)
- Garry Dolton
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Cristina Rius
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Md Samiul Hasan
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Aaron Wall
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Barbara Szomolay
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK; Systems Immunology Research Institute, Cardiff University, CF14 4XN Cardiff, Wales, UK
| | - Enas Behiry
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Thomas Whalley
- School of Biosciences, Cardiff University, CF10 3AX Cardiff, Wales, UK
| | - Joel Southgate
- School of Biosciences, Cardiff University, CF10 3AX Cardiff, Wales, UK
| | - Anna Fuller
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Théo Morin
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Katie Topley
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Li Rong Tan
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Philip J R Goulder
- Department of Paediatrics, University of Oxford, OX3 9DU Oxford, England, UK
| | - Owen B Spiller
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Pierre J Rizkallah
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK
| | - Lucy C Jones
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK; Centre for Clinical Research, Royal Glamorgan Hospital, Ynysmaerdy CF72 8XR, UK
| | - Thomas R Connor
- Systems Immunology Research Institute, Cardiff University, CF14 4XN Cardiff, Wales, UK; School of Biosciences, Cardiff University, CF10 3AX Cardiff, Wales, UK; Pathogen genomics Unit, Public Health Wales NHS Trust, CF14 4XW Cardiff, Wales, UK.
| | - Andrew K Sewell
- Division of Infection and Immunity, Cardiff University School of Medicine, CF14 4XN Cardiff, Wales, UK; Systems Immunology Research Institute, Cardiff University, CF14 4XN Cardiff, Wales, UK.
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20
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Chen H, Hu X, Hu Y, Zhou J, Chen M. CoVM2: Molecular Biological Data Integration of SARS-CoV-2 Proteins in a Macro-to-Micro Method. Biomolecules 2022; 12:biom12081067. [PMID: 36008961 PMCID: PMC9405999 DOI: 10.3390/biom12081067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/27/2022] [Accepted: 07/29/2022] [Indexed: 02/01/2023] Open
Abstract
The COVID-19 pandemic has been a major public health event since 2020. Multiple variant strains of SARS-CoV-2, the causative agent of COVID-19, were detected based on the mutation sites in their sequences. These sequence mutations may lead to changes in the protein structures and affect the binding states of SARS-CoV-2 and human proteins. Experimental research on SARS-CoV-2 has accumulated a large amount of structural data and protein-protein interactions (PPIs), but the studies on the SARS-CoV-2–human PPI networks lack integration of physical associations with possible protein docking information. In addition, the docking structures of variant viral proteins with human receptor proteins are still insufficient. This study constructed SARS-CoV-2–human protein–protein interaction network with data integration methods. Crystal structures were collected to map the interaction pairs. The pairs of direct interactions and physical associations were selected and analyzed for variant docking calculations. The study examined the structures of spike (S) glycoprotein of variants Delta B.1.617.2, Omicron BA.1, and Omicron BA.2. The calculated docking structures of S proteins and potential human receptors were obtained. The study integrated binary protein interactions with 3D docking structures to fulfill an extended view of SARS-CoV-2 proteins from a macro- to micro-scale.
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Affiliation(s)
- Hongjun Chen
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (H.C.); (X.H.); (Y.H.)
| | - Xiaotian Hu
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (H.C.); (X.H.); (Y.H.)
| | - Yanshi Hu
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (H.C.); (X.H.); (Y.H.)
| | - Jiawen Zhou
- Chu Kochen Honors College, Zhejiang University, Hangzhou 310058, China;
| | - Ming Chen
- Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (H.C.); (X.H.); (Y.H.)
- Institute of Hematology, Zhejiang University School of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou 310058, China
- Correspondence: ; Tel.: +86-(0)571-8820-6612
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21
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Titov A, Shaykhutdinova R, Shcherbakova OV, Serdyuk YV, Sheetikov SA, Zornikova KV, Maleeva AV, Khmelevskaya A, Dianov DV, Shakirova NT, Malko DB, Shkurnikov M, Nersisyan S, Tonevitsky A, Khamaganova E, Ershov AV, Osipova EY, Nikolaev RV, Pershin DE, Vedmedskia VA, Maschan M, Ginanova VR, Efimov GA. Immunogenic epitope panel for accurate detection of non-cross-reactive T cell response to SARS-CoV-2. JCI Insight 2022; 7:157699. [PMID: 35389886 PMCID: PMC9090254 DOI: 10.1172/jci.insight.157699] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 03/30/2022] [Indexed: 11/17/2022] Open
Abstract
The ongoing COVID-19 pandemic calls for more effective diagnostic tools. T cell response assessment serves as an independent indicator of prior COVID-19 exposure while also contributing to a more comprehensive characterization of SARS-CoV-2 immunity. In this study, we systematically assessed the immunogenicity of 118 epitopes with immune cells collected from multiple cohorts of vaccinated, convalescent, healthy unexposed, and SARS-CoV-2–exposed donors. We identified 75 immunogenic epitopes, 24 of which were immunodominant. We further confirmed HLA restriction for 49 epitopes and described association with more than 1 HLA allele for 14 of these. Exclusion of 2 cross-reactive epitopes that generated a response in prepandemic samples left us with a 73-epitope set that offered excellent diagnostic specificity without losing sensitivity compared with full-length antigens, and this evoked a robust cross-reactive response. We subsequently incorporated this set of epitopes into an in vitro diagnostic Corona-T-test, which achieved a diagnostic accuracy of 95% in a clinical trial. In a cohort of asymptomatic seronegative individuals with a history of prolonged SARS-CoV-2 exposure, we observed a complete absence of T cell response to our epitope panel. In combination with strong reactivity to full-length antigens, this suggests that a cross-reactive response might protect these individuals.
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Affiliation(s)
- Aleksei Titov
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Regina Shaykhutdinova
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Olga V Shcherbakova
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Yana V Serdyuk
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Savely A Sheetikov
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Ksenia V Zornikova
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Alexandra V Maleeva
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Alexandra Khmelevskaya
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Dmitry V Dianov
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Naina T Shakirova
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Dmitry B Malko
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Maxim Shkurnikov
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russian Federation
| | - Stepan Nersisyan
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russian Federation
| | - Alexander Tonevitsky
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russian Federation
| | - Ekaterina Khamaganova
- Laboratory of HLA Genotyping, National Research Center for Hematology, Moscow, Russian Federation
| | | | - Elena Y Osipova
- Stem Cell Physiology Laboratory, Dmitry Rogachev National Medical Research Center Of Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation
| | - Ruslan V Nikolaev
- Dmitry Rogachev National Medical Research Center Of Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation
| | - Dmitry E Pershin
- Transplantation Immunology and Immunotherapy Laboratory, Dmitry Rogachev National Medical Research Center Of Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation
| | - Viktoria A Vedmedskia
- Transplantation Immunology and Immunotherapy Laboratory, Dmitry Rogachev National Medical Research Center Of Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation
| | - Mikhail Maschan
- Dmitry Rogachev National Medical Research Center Of Pediatric Hematology, Oncology and Immunology, Moscow, Russian Federation
| | - Victoria R Ginanova
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
| | - Grigory A Efimov
- Laboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russian Federation
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