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Tian J, Shang B, Zhang J, Guo Y, Li M, Hu Y, Bai D, She J, Han Y, Guo P, Huang M, Wang Y, Liu M, Zhang J, Ye B, Guo Y, Yang M, Lin Y, Zhang T, Sun X, Yuan X, Zhang D, Xu Z, Chai Y, Qi J, Liu K, Tan S, Zhao Y, Zhou J, Song R, Gao GF, Liu J. T cell immune evasion by SARS-CoV-2 JN.1 escapees targeting two cytotoxic T cell epitope hotspots. Nat Immunol 2025; 26:265-278. [PMID: 39875585 DOI: 10.1038/s41590-024-02051-0] [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: 07/09/2024] [Accepted: 12/03/2024] [Indexed: 01/30/2025]
Abstract
Although antibody escape is observed in emerging severe acute respiratory syndrome coronavirus 2 variants, T cell escape, especially after the global circulation of BA.2.86/JN.1, is unexplored. Here we demonstrate that T cell evasion exists in epitope hotspots spanning BA.2.86/JN.1 mutations. The newly emerging Q229K at this conserved nucleocapsid protein site impairs HLA-A2 epitope hotspot recognition. The association between HLA-A24 convalescents and T cell immune escape points to the spike (S) protein epitope S448-456NYNYLYRLF, with multiple mutations from Delta to JN.1, including L452Q, L452R, F456L, N450D and L452W, and N450D, L452W and L455S. A cliff drop of immune responses was observed for S448-456NYNYRYRLF (Delta/BA.5.2) and S448-456NYDYWYRSF (JN.1), but with immune preservation of S448-456NYDYWYRLF (BA.2.86). Structural analyses showed that hydrophobicity exposure determines the pronounced escape of L452R and L455S mutants, which was further confirmed by T cell receptor binding. This study highlights the characteristics and molecular mechanisms of the T cell immune escape for JN.1 and provides new insights into understanding the dominant circulation of variants, from the viewpoint of cytotoxic T cell evasion.
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Affiliation(s)
- Jinmin Tian
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bingli Shang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jianing Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuanyuan Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuechao Hu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dan Bai
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China
| | - Junying She
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Yang Han
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China
| | - Peipei Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Mengkun Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, China
| | - Yalan Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maoshun Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jie Zhang
- Beijing Ditan Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Infectious Diseases, Beijing, China
| | - Beiwei Ye
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yaxin Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mengjie Yang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Ying Lin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Ting Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, China
| | - Xin Sun
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaoju Yuan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Danni Zhang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ziqian Xu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Chai
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Jianxun Qi
- 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
| | - Shuguang Tan
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China
| | - Yingze Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
- Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, Beijing, China.
| | - Jikun Zhou
- The Fifth Hospital of Shijiazhuang, Shijiazhuang, China.
| | - Rui Song
- Beijing Ditan Hospital, Capital Medical University, Beijing, China.
| | - George F Gao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
- School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China.
- Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, Beijing, China.
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.
- The D. H. Chen School of Universal Health, Zhejiang University, Hangzhou, China.
| | - Jun Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
- Research Unit of Adaptive Evolution and Control of Emerging Viruses, Chinese Academy of Medical Sciences, Beijing, China.
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2
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Li M, Guo Y, Deng Y, Gao W, Huang B, Yao W, Zhao Y, Zhang Q, Huang M, Liu M, Li L, Guo P, Tian J, Wang X, Lin Y, Gan J, Guo Y, Hu Y, Zhang J, Yang X, Shang B, Yang M, Han Y, Wang Y, Cong P, Li M, Chu Q, Zhang D, Wang Q, Zhang T, Wu G, Tan W, Gao GF, Liu J. Long-lasting humoral and cellular memory immunity to vaccinia virus Tiantan provides pre-existing immunity against mpox virus in Chinese population. Cell Rep 2024; 43:113609. [PMID: 38159277 DOI: 10.1016/j.celrep.2023.113609] [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: 06/29/2023] [Revised: 10/17/2023] [Accepted: 12/06/2023] [Indexed: 01/03/2024] Open
Abstract
Investigating immune memory to vaccinia virus and pre-existing immunity to mpox virus (MPXV) among the population is crucial for the global response to this ongoing mpox epidemic. Blood was sampled from vaccinees inoculated with vaccinia virus Tiantan (VTT) strain born before 1981 and unvaccinated control subjects born since 1982. After at least 40 years of the inoculation, 60% or 5% VTT vaccinees possess neutralizing antibodies (NAbs) to VTT or MPXV, with at least 50% having T cell memory to VTT protein antigens. Notably, 46.7% vaccinees show pre-existing T cell responses to MPXV. Broad pre-existing CD8+ T cell reactivities to MPXV are detected not only against conserved epitopes but also against variant epitopes between VTT and MPXV. Persistent NAbs and T cell memory to VTT among vaccinees, along with pre-existing T cells to MPXV among both vaccinees and the unvaccinated population, indicate a particular immune barrier to mpox.
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Affiliation(s)
- Min Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Yaxin Guo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing 102206, China
| | - Yao Deng
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Wenhui Gao
- Chaoyang District for Disease Prevention and Control of Beijing, Beijing 100021, China
| | - Baoying Huang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Weiyong Yao
- Dongba Community Healthcare Service Center, Chaoyang District, Beijing 100021, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing 102206, China
| | - Qing Zhang
- Dongba Community Healthcare Service Center, Chaoyang District, Beijing 100021, China
| | - Mengkun Huang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Maoshun Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Lei Li
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Peipei Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, 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 102206, China; School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou 325035, China
| | - Xin Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Ying Lin
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Jinxian Gan
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-constructed by the Province and Ministry, Guangxi Medical University, Nanning, Guangxi 530021, China
| | - Yuanyuan Guo
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Yuechao Hu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Jianing Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Xiaonan Yang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Bingli Shang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Mengjie Yang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Yang Han
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou 325035, China
| | - Yalan Wang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Peilei Cong
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Mengzhe Li
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Qiaohong Chu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Danni Zhang
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China
| | - Qihui Wang
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing 100101, China
| | - Tong Zhang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Guizhen Wu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing 102206, China.
| | - Wenjie Tan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing 102206, 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 102206, China; CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing 100101, China; Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing 102206, China.
| | - Jun Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China; Research Unit of Adaptive Evolution and Control of Emerging Viruses (2018RU009), Chinese Academy of Medical Sciences, Beijing 102206, China.
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3
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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: 9] [Impact Index Per Article: 4.5] [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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4
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Jackson KR, Antunes DA, Talukder AH, Maleki AR, Amagai K, Salmon A, Katailiha AS, Chiu Y, Fasoulis R, Rigo MM, Abella JR, Melendez BD, Li F, Sun Y, Sonnemann HM, Belousov V, Frenkel F, Justesen S, Makaju A, Liu Y, Horn D, Lopez-Ferrer D, Huhmer AF, Hwu P, Roszik J, Hawke D, Kavraki LE, Lizée G. Charge-based interactions through peptide position 4 drive diversity of antigen presentation by human leukocyte antigen class I molecules. PNAS NEXUS 2022; 1:pgac124. [PMID: 36003074 PMCID: PMC9391200 DOI: 10.1093/pnasnexus/pgac124] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
Human leukocyte antigen class I (HLA-I) molecules bind and present peptides at the cell surface to facilitate the induction of appropriate CD8+ T cell-mediated immune responses to pathogen- and self-derived proteins. The HLA-I peptide-binding cleft contains dominant anchor sites in the B and F pockets that interact primarily with amino acids at peptide position 2 and the C-terminus, respectively. Nonpocket peptide-HLA interactions also contribute to peptide binding and stability, but these secondary interactions are thought to be unique to individual HLA allotypes or to specific peptide antigens. Here, we show that two positively charged residues located near the top of peptide-binding cleft facilitate interactions with negatively charged residues at position 4 of presented peptides, which occur at elevated frequencies across most HLA-I allotypes. Loss of these interactions was shown to impair HLA-I/peptide binding and complex stability, as demonstrated by both in vitro and in silico experiments. Furthermore, mutation of these Arginine-65 (R65) and/or Lysine-66 (K66) residues in HLA-A*02:01 and A*24:02 significantly reduced HLA-I cell surface expression while also reducing the diversity of the presented peptide repertoire by up to 5-fold. The impact of the R65 mutation demonstrates that nonpocket HLA-I/peptide interactions can constitute anchor motifs that exert an unexpectedly broad influence on HLA-I-mediated antigen presentation. These findings provide fundamental insights into peptide antigen binding that could broadly inform epitope discovery in the context of viral vaccine development and cancer immunotherapy.
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Affiliation(s)
- Kyle R Jackson
- University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Dinler A Antunes
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Amjad H Talukder
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Ariana R Maleki
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Kano Amagai
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Avery Salmon
- University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
- Department of Immunology, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Arjun S Katailiha
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Yulun Chiu
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Romanos Fasoulis
- Department of Computer Science, Rice University, Houston, TX, USA
| | | | - Jayvee R Abella
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Brenda D Melendez
- University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Fenge Li
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Yimo Sun
- University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Heather M Sonnemann
- University of Texas MD Anderson Cancer Center, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | | | | | | | | | - Yang Liu
- ThermoFisher Scientific, San Jose, CA, USA
| | - David Horn
- ThermoFisher Scientific, San Jose, CA, USA
| | | | | | - Patrick Hwu
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Jason Roszik
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
| | - David Hawke
- Department of Systems Biology, UT MD Anderson Cancer Center, Houston, TX, USA
| | - Lydia E Kavraki
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Gregory Lizée
- Department of Melanoma, UT MD Anderson Cancer Center, Houston, TX, USA
- Department of Immunology, UT MD Anderson Cancer Center, Houston, TX, USA
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5
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Zhang J, Lin H, Ye B, Zhao M, Zhan J, Dong S, Guo Y, Zhao Y, Li M, Liu S, Zhang H, Xiao W, Guo Y, Yue C, Zhang D, Yang M, Zhang J, Quan C, Shi W, Liu X, Liu P, Jiang Y, Wu G, Gao GF, Liu WJ. One-Year Sustained Cellular and Humoral Immunities in Coronavirus Disease 2019 (COVID-19) Convalescents. Clin Infect Dis 2021; 75:e1072-e1081. [PMID: 34609506 PMCID: PMC8524303 DOI: 10.1093/cid/ciab884] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The longitudinal antigen-specific immunity in COVID-19 convalescents is crucial for long-term protection upon individual re-exposure to SARS-CoV-2, and even more pivotal for ultimately achieving population-level immunity. We conducted this cohort study to better understand the features of immune memory in individuals with different disease severities at 1 year post-disease onset. METHODS We conducted a systematic antigen-specific immune evaluation in 101 COVID-19 convalescents, who had asymptomatic, mild, moderate, or severe disease, through 2 visits at months 6 and 12 after disease onset. The SARS-CoV-2-specific antibodies, comprising neutralizing antibody (NAb), immunoglobulin (Ig) G, and IgM, were assessed by mutually corroborated assays (ie, neutralization, enzyme-linked immunosorbent assay [ELISA], and microparticle chemiluminescence immunoassay [MCLIA]). Meanwhile, T-cell memory against SARS-CoV-2 spike, membrane, and nucleocapsid proteins was tested through enzyme-linked immunospot assay (ELISpot), intracellular cytokine staining, and tetramer staining-based flow cytometry, respectively. RESULTS SARS-CoV-2-specific IgG antibodies, and NAb, can persist among >95% of COVID-19 convalescents from 6 to 12 months after disease onset. At least 19/71 (26%) of COVID-19 convalescents (double positive in ELISA and MCLIA) had detectable circulating IgM antibody against SARS-CoV-2 at 12 months post-disease onset. Notably, numbers of convalescents with positive SARS-CoV-2-specific T-cell responses (≥1 of the SARS-CoV-2 antigen S1, S2, M, and N proteins) were 71/76 (93%) and 67/73 (92%) at 6 and 12 months, respectively. Furthermore, both antibody and T-cell memory levels in the convalescents were positively associated with disease severity. CONCLUSIONS SARS-CoV-2-specific cellular and humoral immunities are durable at least until 1 year after disease onset.
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Affiliation(s)
- Jie Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Hao Lin
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Beiwei Ye
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Min Zhao
- CAS Key Laboratory of Pathogenic Microbiology and
Immunology, Institute of Microbiology, Chinese Academy of
Sciences, Beijing 100101, China
| | - Jianbo Zhan
- Hubei Provincial Center for Disease Control and
Prevention, Wuhan 430079, China
| | - Shaobo Dong
- Macheng Center for Disease Control and
Prevention, Huanggang 438300, China
| | - Yaxin Guo
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Min Li
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Sai Liu
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- College of Laboratory Medicine and Life Sciences, Wenzhou
Medical University, Wenzhou 325035, China
| | - Hangjie Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Wenling Xiao
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- College of Laboratory Medicine and Life Sciences, Wenzhou
Medical University, Wenzhou 325035, China
| | - Yuanyuan Guo
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Can Yue
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- Savaid Medical School, University of Chinese Academy of
Sciences, Beijing 100049, China
| | - Danni Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Mengjie Yang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Jing Zhang
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Chuansong Quan
- Key Laboratory of Etiology and Epidemiology of Emerging
Infectious Diseases in Universities of Shandong, Shandong First Medical
University & Shandong Academy of Medical Sciences, Taian
271016, China
| | - Weifeng Shi
- Key Laboratory of Etiology and Epidemiology of Emerging
Infectious Diseases in Universities of Shandong, Shandong First Medical
University & Shandong Academy of Medical Sciences, Taian
271016, China
| | - Xinxue Liu
- Oxford Vaccine Group, Department of Paediatrics,
University of Oxford, Oxford OX3 9DU, UK
| | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
| | - Yongzhong Jiang
- Hubei Provincial Center for Disease Control and
Prevention, Wuhan 430079, China
| | - Guizhen Wu
- NHC Key Laboratory of Biosafety, National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Beijing 102206, China
- Corresponding Author:
| | - 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 102206, China
- CAS Key Laboratory of Pathogenic Microbiology and
Immunology, Institute of Microbiology, Chinese Academy of
Sciences, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of
Sciences, Beijing 100049, China
- Corresponding Author:
| | - 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 102206, China
- College of Laboratory Medicine and Life Sciences, Wenzhou
Medical University, Wenzhou 325035, China
- Corresponding Author: William J. Liu, PhD; National Institute for
Viral Disease Control and Prevention, Chinese Center for Disease Control and
Prevention (China CDC), Changping District, Beijing 102206, The People’s
Republic of China. Tel.: 86-10-63510565; E-mail:
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6
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Chen Q, Sun T, Jiang C. Recent Advancements in Nanomedicine for 'Cold' Tumor Immunotherapy. NANO-MICRO LETTERS 2021; 13:92. [PMID: 34138315 PMCID: PMC8006526 DOI: 10.1007/s40820-021-00622-6] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/31/2021] [Indexed: 05/02/2023]
Abstract
Although current anticancer immunotherapies using immune checkpoint inhibitors (ICIs) have been reported with a high clinical success rate, numerous patients still bear 'cold' tumors with insufficient T cell infiltration and low immunogenicity, responding poorly to ICI therapy. Considering the advancements in precision medicine, in-depth mechanism studies on the tumor immune microenvironment (TIME) among cold tumors are required to improve the treatment for these patients. Nanomedicine has emerged as a promising drug delivery system in anticancer immunotherapy, activates immune function, modulates the TIME, and has been applied in combination with other anticancer therapeutic strategies. This review initially summarizes the mechanisms underlying immunosuppressive TIME in cold tumors and addresses the recent advancements in nanotechnology for cold TIME reversal-based therapies, as well as a brief talk about the feasibility of clinical translation.
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Affiliation(s)
- Qinjun Chen
- Key Laboratory of Smart Drug Delivery (Ministry of Education), State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Department of Pharmaceutics, and School of Pharmacy, Research Center on Aging and Medicine, Fudan University, Shanghai, 201203, People's Republic of China
| | - Tao Sun
- Key Laboratory of Smart Drug Delivery (Ministry of Education), State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Department of Pharmaceutics, and School of Pharmacy, Research Center on Aging and Medicine, Fudan University, Shanghai, 201203, People's Republic of China
| | - Chen Jiang
- Key Laboratory of Smart Drug Delivery (Ministry of Education), State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Department of Pharmaceutics, and School of Pharmacy, Research Center on Aging and Medicine, Fudan University, Shanghai, 201203, People's Republic of China.
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7
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Baruah V, Bose S. Immunoinformatics-aided identification of T cell and B cell epitopes in the surface glycoprotein of 2019-nCoV. J Med Virol 2020; 92:495-500. [PMID: 32022276 PMCID: PMC7166505 DOI: 10.1002/jmv.25698] [Citation(s) in RCA: 206] [Impact Index Per Article: 41.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 02/03/2020] [Indexed: 11/10/2022]
Abstract
The 2019 novel coronavirus (2019-nCoV) outbreak has caused a large number of deaths with thousands of confirmed cases worldwide, especially in East Asia. This study took an immunoinformatics approach to identify significant cytotoxic T lymphocyte (CTL) and B cell epitopes in the 2019-nCoV surface glycoprotein. Also, interactions between identified CTL epitopes and their corresponding major histocompatibility complex (MHC) class I supertype representatives prevalent in China were studied by molecular dynamics simulations. We identified five CTL epitopes, three sequential B cell epitopes and five discontinuous B cell epitopes in the viral surface glycoprotein. Also, during simulations, the CTL epitopes were observed to be binding MHC class I peptide-binding grooves via multiple contacts, with continuous hydrogen bonds and salt bridge anchors, indicating their potential in generating immune responses. Some of these identified epitopes can be potential candidates for the development of 2019-nCoV vaccines.
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Affiliation(s)
- Vargab Baruah
- Department of Biotechnology, Gauhati University, Guwahati, Assam, India
| | - Sujoy Bose
- Department of Biotechnology, Gauhati University, Guwahati, Assam, India
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