1
|
Yan Y, Halemubieke S, Shan B, Zhao L, Duan Y, Wang Y, Wu M, Bu X, Wang Q, Chang L, Ji H, Sun H, Liu Y, Sun P, Liu Y, Wang L, Li C, Zhang L, Deng X, Wang L. Longitudinal assessment of immunogenicity of inactivated COVID-19 booster immunization and breakthrough infection in blood donors: A multicenter study from 2021 to 2023. Hum Vaccin Immunother 2025; 21:2498828. [PMID: 40323225 PMCID: PMC12054371 DOI: 10.1080/21645515.2025.2498828] [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: 01/13/2025] [Revised: 04/15/2025] [Accepted: 04/24/2025] [Indexed: 05/08/2025] Open
Abstract
Assessing immune responses across diverse populations is essential for refining public health strategies. Blood donors offer valuable insights into community-level immunity. This study aims to investigate immune responses associated with inactivated COVID-19 booster immunization and breakthrough infections in blood donors. This study was conducted in a cohort of blood donors from six centers across five of China's seven major geographical regions, spanning from December 2021 to February 2023. Blood samples were collected before booster vaccination, at 1, 3, and 6 months post-vaccination, as well as 1 month post-infection. SARS-CoV-2-specific antibodies, T cell specific IFNγ levels, and neutralizing antibodies against wild-type and Omicron strains were measured. Platelet count, anti-PF4 antibody, and D-dimer levels were assessed. Demographic characteristics were analyzed to determine their impact on immunogenicity. SARS-CoV-2-specific antibodies and IFNγ levels significantly increased post-booster, peaking one month after immunization. Antibodies continued to decrease at six months, while IFNγ levels remained stable at this point. Pseudovirus neutralization assays revealed elevated neutralizing antibodies following the booster dose, with minimal response to the XBB.1.5 variant. Following Omicron infection, antibody and IFNγ levels surpassed that observed post-booster. Participants aged 36-49 and those over 50 exhibited weaker immune responses post-booster than those ages 18-35, while those with BMI above 28 showed lower IFNγ levels. This study demonstrates the utility of blood donor samples for tracking immunization effectiveness against emerging pathogens, and highlights enhanced immune responses after booster immunization and breakthrough infections, underscoring the need for tailored vaccination strategies for different groups.
Collapse
Affiliation(s)
- Ying Yan
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, P. R. China
| | - Shana Halemubieke
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, P. R. China
- National Center for Clinical Laboratories, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Baifeng Shan
- Department of Blood Screening Laboratory, Taiyuan Blood Center, Taiyuan, Shanxi, P.R. China
| | - Lei Zhao
- Department of Blood Screening Laboratory, Henan Blood Center, Zhengzhou, Henan, P.R. China
| | - Youbin Duan
- Department of Blood Screening Laboratory, Yunnan Blood Center, Kunming, Yunnan, P.R. China
| | - Yifang Wang
- Department of Blood Screening Laboratory, Henan Blood Center, Zhengzhou, Henan, P.R. China
| | - Mingrui Wu
- Department of Blood Quality Management, Sanmenxia Blood Center, Sanmenxia, Henan, P.R. China
| | - Xiaoxiao Bu
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Quaner Wang
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Le Chang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, P. R. China
- National Center for Clinical Laboratories, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Huimin Ji
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, P. R. China
| | - Huizhen Sun
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, P. R. China
| | - Yang Liu
- Department of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China
| | - Peng Sun
- Department of Blood Screening Laboratory, Dalian Blood Center, Dalian, Liaoning, P.R. China
| | - Ying Liu
- Department of Blood Screening Laboratory, Dalian Blood Center, Dalian, Liaoning, P.R. China
| | - Lin Wang
- Department of Blood Screening Laboratory, Dalian Blood Center, Dalian, Liaoning, P.R. China
| | - Chuanbao Li
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Libo Zhang
- Department of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China
| | - Xuelian Deng
- Department of Blood Screening Laboratory, Dalian Blood Center, Dalian, Liaoning, P.R. China
| | - Lunan Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, P.R. China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing, P. R. China
- National Center for Clinical Laboratories, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, P.R. China
| |
Collapse
|
2
|
Ding C, Chen Q, Shi Y, Liu J, Huang L, Wei W, Chen F, He H, Wu J, Gao Y, Yu Y. Impact of CD4+ T cell and TCR repertoires on SARS-CoV-2-Specific antibody responses in PLWH following COVID-19 vaccination. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2025:vkae040. [PMID: 40235093 DOI: 10.1093/jimmun/vkae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/02/2024] [Indexed: 04/17/2025]
Abstract
In people living with human immunodeficiency virus (HIV, PLWH), the coronavirus disease 2019 (COVID-19) vaccine often results in a limited humoral immune response. While a reduced absolute CD4+ T cell count is a known factor, other determinants remain unclear. To investigate variables influencing the differential antibody response to the COVID-19 vaccine in PLWH, 43 HIV-1/AIDS patients receiving antiretroviral therapy (ART) and 2 doses of the COVID-19 vaccine were tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific immunoglobulin G (IgG) levels and neutralizing antibody (NAb) titers. A retrospective analysis was also performed, examining immune reconstitution and epidemiological history, including annual CD4+ T-cell counts and the duration of HIV-1 infection. To further elucidate the role of CD4+ T cells in the antibody response to the COVID-19 vaccine, next-generation sequencing was used to analyze the T cell receptor (TCR) profiles of CD4+ T cells from twelve representative individuals. The results showed that the SARS-CoV-2-specific antibody response in PLWH was not solely determined by the current CD4+ T cell count, the progression of immune reconstitution and the TCR profile of CD4+ T cells also played significant roles. These findings provide critical insights into the multifaceted roles of CD4+ T cells in SARS-CoV-2-specific antibody responses in PLWH following COVID-19 vaccination.
Collapse
Affiliation(s)
- Chengchao Ding
- Department of Infectious Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Qianqian Chen
- Department of Infectious Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Yu Shi
- Department of Health Inspection and Quarantine, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Jiamin Liu
- Department of Health Inspection and Quarantine, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China
| | - Lina Huang
- Department of Infectious Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Wei Wei
- Department of HIV Prevention and Control, Fuyang Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Fang Chen
- Department of HIV Prevention and Control, Yingzhou District Center for Disease Control and Prevention, Fuyang, Anhui, China
| | - Hongliang He
- Department of Infectious Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Jianjun Wu
- Department of Health Inspection and Quarantine, School of Public Health, Anhui Medical University, Hefei, Anhui, 230032, China
- Central Laboratory of HIV Molecular and Immunology, Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui, China
| | - Yong Gao
- Department of Infectious Disease, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Yue Yu
- Department of Gastroenterology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| |
Collapse
|
3
|
Wang Y, Li R, Tong R, Chen T, Sun M, Luo L, Li Z, Chen Y, Zhao Y, Zhang C, Wei L, Lin W, Chen H, Qian K, Chen AF, Liu J, Chen L, Li B, Wang F, Wang L, Su B, Pu J. Integrating single-cell RNA and T cell/B cell receptor sequencing with mass cytometry reveals dynamic trajectories of human peripheral immune cells from birth to old age. Nat Immunol 2025; 26:308-322. [PMID: 39881000 PMCID: PMC11785523 DOI: 10.1038/s41590-024-02059-6] [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: 10/28/2022] [Accepted: 12/09/2024] [Indexed: 01/31/2025]
Abstract
A comprehensive understanding of the evolution of the immune landscape in humans across the entire lifespan at single-cell transcriptional and protein levels, during development, maturation and senescence is currently lacking. We recruited a total of 220 healthy volunteers from the Shanghai Pudong Cohort (NCT05206643), spanning 13 age groups from 0 to over 90 years, and profiled their peripheral immune cells through single-cell RNA-sequencing coupled with single T cell and B cell receptor sequencing, high-throughput mass cytometry, bulk RNA-sequencing and flow cytometry validation experiments. We revealed that T cells were the most strongly affected by age and experienced the most intensive rewiring in cell-cell interactions during specific age. Different T cell subsets displayed different aging patterns in both transcriptomes and immune repertoires; examples included GNLY+CD8+ effector memory T cells, which exhibited the highest clonal expansion among all T cell subsets and displayed distinct functional signatures in children and the elderly; and CD8+ MAIT cells, which reached their peaks of relative abundance, clonal diversity and antibacterial capability in adolescents and then gradually tapered off. Interestingly, we identified and experimentally verified a previously unrecognized 'cytotoxic' B cell subset that was enriched in children. Finally, an immune age prediction model was developed based on lifecycle-wide single-cell data that can evaluate the immune status of healthy individuals and identify those with disturbed immune functions. Our work provides both valuable insights and resources for further understanding the aging of the immune system across the whole human lifespan.
Collapse
MESH Headings
- Humans
- Aged
- Single-Cell Analysis/methods
- Adult
- Aged, 80 and over
- Middle Aged
- Infant
- Child
- Child, Preschool
- Male
- Female
- Adolescent
- Aging/immunology
- Aging/genetics
- Infant, Newborn
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/immunology
- Flow Cytometry
- Young Adult
- Receptors, Antigen, T-Cell/genetics
- Sequence Analysis, RNA
- T-Lymphocyte Subsets/immunology
- B-Lymphocytes/immunology
Collapse
Affiliation(s)
- Yufei Wang
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Ronghong Li
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Renyang Tong
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Taiwei Chen
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Mingze Sun
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Lingjie Luo
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheng Li
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Yifan Chen
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Yichao Zhao
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Chensheng Zhang
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Lin Wei
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Lin
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Haoyan Chen
- Department of Gastroenterology and Hepatology, State Key Laboratory of Systems Medicine for Cancer, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kun Qian
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
- School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Alex F Chen
- Institute for Developmental and Regenerative Cardiovascular Medicine, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junling Liu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Chen
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Bin Li
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Wang
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bing Su
- Center for Immune-Related Diseases at Shanghai Institute of Immunology, Department of Immunology and Microbiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Pu
- Department of Cardiology, Renji Hospital, School of Medicine, State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiao Tong University, Shanghai, China.
- Aging Biomarker Consortium, Beijing, China.
| |
Collapse
|
4
|
Zhang Y, Han S, Sun Q, Liu T, Wen Z, Yao M, Zhang S, Duan Q, Zhang X, Pang B, Kou Z, Jiang X. Single-cell transcriptome atlas of peripheral immune features to Omicron breakthrough infection under booster vaccination strategies. Front Immunol 2025; 15:1460442. [PMID: 39835127 PMCID: PMC11743671 DOI: 10.3389/fimmu.2024.1460442] [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: 07/06/2024] [Accepted: 12/13/2024] [Indexed: 01/22/2025] Open
Abstract
Introduction The high percentage of Omicron breakthrough infection in vaccinees is an emerging problem, of which we have a limited understanding of the phenomenon. Methods We performed single-cell transcriptome coupled with T-cell/B-cell receptor (TCR/BCR) sequencing in 15 peripheral blood mononuclear cell (PBMC) samples from Omicron infection and naïve with booster vaccination. Results We found that after breakthrough infection, multiple cell clusters showed activation of the type I IFN pathway and widespread expression of Interferon-stimulated genes (ISGs); T and B lymphocytes exhibited antiviral and proinflammatory-related differentiation features with pseudo-time trajectories; and large TCR clonal expansions were concentrated in effector CD8 T cells, and clonal expansions of BCRs showed a preference for IGHV3. In addition, myeloid cells in the BA.5.2 breakthrough infection with the fourth dose of aerosolized Ad5-nCoV were characterized by enhanced proliferation, chemotactic migration, and antigen presentation. Discussion Collectively, our study informs the comprehensive understandings of immune characterization for Omicron breakthrough infection, revealing the positive antiviral potential induced by booster doses of vaccine and the possible "trained immunity" phenomenon in the fourth dose of aerosolized Ad5-nCoV, providing a basis for the selection of vaccination strategies.
Collapse
MESH Headings
- Humans
- Immunization, Secondary
- COVID-19/immunology
- COVID-19/prevention & control
- COVID-19/genetics
- Single-Cell Analysis
- Transcriptome
- SARS-CoV-2/immunology
- COVID-19 Vaccines/immunology
- COVID-19 Vaccines/administration & dosage
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/immunology
- Leukocytes, Mononuclear/immunology
- Vaccination
- B-Lymphocytes/immunology
- Breakthrough Infections
Collapse
Affiliation(s)
- Yuwei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Shanshan Han
- School of Public Health and Health Management, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Qingshuai Sun
- School of Public Health and Health Management, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Tao Liu
- Department of Infectious Disease Control, Yantai Center for Disease Control and Prevention, Yantai, Shandong, China
| | - Zixuan Wen
- School of Public Health, Weifang Medical University, Weifang, Shandong, China
| | - Mingxiao Yao
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Shu Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Qing Duan
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xiaomei Zhang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Bo Pang
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Zengqiang Kou
- Infectious Disease Prevention and Control Section, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Xiaolin Jiang
- School of Public Health and Health Management, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
- School of Public Health, Weifang Medical University, Weifang, Shandong, China
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, Shandong, China
| |
Collapse
|
5
|
Ghosh S, Chatterjee A, Maitra A. An insight into COVID-19 host immunity at single-cell resolution. Int Rev Immunol 2024:1-16. [PMID: 39707914 DOI: 10.1080/08830185.2024.2443420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/09/2024] [Accepted: 12/12/2024] [Indexed: 12/23/2024]
Abstract
Host immunity helps the body to fight against COVID-19. Single-cell transcriptomics has provided the scope of investigating cellular and molecular underpinnings of host immune response against SARS-CoV-2 infection at high resolution. In this review, we have systematically described the virus-induced dysregulation of relative abundance as well as molecular behavior of each innate and adaptive immune cell type and cell state during COVID-19 infection and for different vaccinations, based on single-cell studies published in last three-four years. Identification and characterization of these disease-associated specific cell populations might help to design better, efficient, and targeted therapeutic avenues.
Collapse
Affiliation(s)
- Supratim Ghosh
- Biotechnology Research and Innovation Council - National Institute of Biomedical Genomics, Kalyani, India
- Regional Centre for Biotechnology, Faridabad, India
| | - Ankita Chatterjee
- Biotechnology Research and Innovation Council - National Institute of Biomedical Genomics, Kalyani, India
- John C. Martin Center for Liver Research and Innovations, Kolkata, India
| | - Arindam Maitra
- Biotechnology Research and Innovation Council - National Institute of Biomedical Genomics, Kalyani, India
| |
Collapse
|
6
|
Zhou D, Luo Y, Ma Q, Xu Y, Yao X. The characteristics of TCR CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccine recipients. Virulence 2024; 15:2421987. [PMID: 39468707 PMCID: PMC11540089 DOI: 10.1080/21505594.2024.2421987] [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: 08/08/2024] [Revised: 09/28/2024] [Accepted: 10/22/2024] [Indexed: 10/30/2024] Open
Abstract
The COVID-19 pandemic and large-scale administration of multiple SARS-CoV-2 vaccines have attracted global attention to the short-term and long-term effects on the human immune system. An analysis of the "traces" left by the body's T-cell immune response is needed, especially for the prevention and treatment of breakthrough infections and long COVID-19 and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant infections. T-cell receptor complementarity determining region 3 (TCR CDR3) repertoire serves as a target molecule for monitoring the effects, mechanisms, and memory of the T-cell response. Furthermore, it has been extensively applied in the elucidation of the infectious mechanism and vaccine refinement of hepatitis B virus (HBV), influenza virus, human immunodeficiency virus (HIV), and SARS-CoV. Laboratories worldwide have utilized high-throughput sequencing (HTS) and scTCR-seq to characterize, share, and apply the TCR CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccine recipients. This article focuses on the comparative analysis of the diversity, clonality, V&J gene usage and pairing, CDR3 length, shared CDR3 sequences or motifs, and other characteristics of TCR CDR3 repertoire. These findings provide molecular targets for evaluating T-cell response effects and short-term and long-term impacts on the adaptive immune system following SARS-CoV-2 infection or vaccination and establish a comparative archive of T-cell response "traces."
Collapse
Affiliation(s)
- Dewei Zhou
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
- Department of Clinical Laboratory, The First People’s Hospital of Zunyi (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, China
| | - Yan Luo
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Qingqing Ma
- Department of Central Laboratory, Guizhou Aerospace Hospital, Zunyi, China
| | - Yuanyuan Xu
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| | - Xinsheng Yao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, China
| |
Collapse
|
7
|
Wu X, Yang X, Dai Y, Zhao Z, Zhu J, Guo H, Yang R. Single-cell sequencing to multi-omics: technologies and applications. Biomark Res 2024; 12:110. [PMID: 39334490 PMCID: PMC11438019 DOI: 10.1186/s40364-024-00643-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 08/17/2024] [Indexed: 09/30/2024] Open
Abstract
Cells, as the fundamental units of life, contain multidimensional spatiotemporal information. Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity. Undoubtedly, single-cell transcriptomics has emerged as one of the most vibrant research fields today. With the optimization and innovation of single-cell sequencing technologies, the intricate multidimensional details concealed within cells are gradually unveiled. The combination of scRNA-seq and other multi-omics is at the forefront of the single-cell field. This involves simultaneously measuring various omics data within individual cells, expanding our understanding across a broader spectrum of dimensions. Single-cell multi-omics precisely captures the multidimensional aspects of single-cell transcriptomes, immune repertoire, spatial information, temporal information, epitopes, and other omics in diverse spatiotemporal contexts. In addition to depicting the cell atlas of normal or diseased tissues, it also provides a cornerstone for studying cell differentiation and development patterns, disease heterogeneity, drug resistance mechanisms, and treatment strategies. Herein, we review traditional single-cell sequencing technologies and outline the latest advancements in single-cell multi-omics. We summarize the current status and challenges of applying single-cell multi-omics technologies to biological research and clinical applications. Finally, we discuss the limitations and challenges of single-cell multi-omics and potential strategies to address them.
Collapse
Affiliation(s)
- Xiangyu Wu
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China
| | - Xin Yang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China
| | - Yunhan Dai
- Medical School, Nanjing University, Nanjing, China
| | - Zihan Zhao
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China
| | - Junmeng Zhu
- Department of Oncology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Hongqian Guo
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
| | - Rong Yang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Road, Nanjing, 210008, Jiangsu, China.
| |
Collapse
|
8
|
Xiao J, Luo Y, Li Y, Yao X. The characteristics of BCR-CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccinated volunteers. J Med Virol 2024; 96:e29488. [PMID: 38415507 DOI: 10.1002/jmv.29488] [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: 11/04/2023] [Revised: 02/02/2024] [Accepted: 02/13/2024] [Indexed: 02/29/2024]
Abstract
The global COVID-19 pandemic has caused more than 1 billion infections, and numerous SARS-CoV-2 vaccines developed rapidly have been administered over 10 billion doses. The world is continuously concerned about the cytokine storms induced by the interaction between SARS-CoV-2 and host, long COVID, breakthrough infections postvaccination, and the impact of SARS-CoV-2 variants. BCR-CDR3 repertoire serves as a molecular target for monitoring the antiviral response "trace" of B cells, evaluating the effects, mechanisms, and memory abilities of individual responses to B cells, and has been successfully applied in analyzing the infection mechanisms, vaccine improvement, and neutralizing antibodies preparation of influenza virus, HIV, MERS, and Ebola virus. Based on research on BCR-CDR3 repertoire of COVID-19 patients and volunteers who received different SARS-CoV-2 vaccines in multiple laboratories worldwide, we focus on analyzing the characteristics and changes of BCR-CDR3 repertoire, such as diversity, clonality, V&J genes usage and pairing, SHM, CSR, shared CDR3 clones, as well as the summary on BCR sequences targeting virus-specific epitopes in the preparation and application research of SARS-CoV-2 potential therapeutic monoclonal antibodies. This review provides comparative data and new research schemes for studying the possible mechanisms of differences in B cell response between SARS-CoV-2 infection or vaccination, and supplies a foundation for improving vaccines after SARS-CoV-2 mutations and potential antibody therapy for infected individuals.
Collapse
Affiliation(s)
- Jiaping Xiao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
- Fushun People's Hospital, Zigong, Sichuan, China
| | - Yan Luo
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
| | - Yangyang Li
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
| | - Xinsheng Yao
- Department of Immunology, Center of Immunomolecular Engineering, Innovation & Practice Base for Graduate Students Education, Zunyi Medical University, Zunyi, Guizhou, China
| |
Collapse
|
9
|
He X, Cao Y, Lu Y, Qi F, Wang H, Liao X, Xu G, Yang B, Ma J, Li D, Tang X, Zhang Z. Breakthrough infection evokes the nasopharyngeal innate immune responses established by SARS-CoV-2-inactivated vaccine. Front Immunol 2023; 14:1181121. [PMID: 37457721 PMCID: PMC10349640 DOI: 10.3389/fimmu.2023.1181121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/30/2023] [Indexed: 07/18/2023] Open
Abstract
Nasopharyngeal immune responses are vital for defense against SARS-CoV-2 infection. Although vaccination via muscle immunization has shown a high efficacy in reducing severity and death in COVID-19 infection, breakthrough infection frequently happens because of mutant variants and incompletely established mucosal immunity, especially in the upper respiratory tract. Here, we performed a single-cell RNA and T-cell receptor repertoire sequencing and delineated a high-resolution transcriptome landscape of nasopharyngeal mucosal immune and epithelial cells in vaccinated persons with breakthrough infection and non-vaccinated persons with natural infection as control. The epithelial cells showed anti-virus gene expression diversity and potentially recruited innate immune cells into the nasopharyngeal mucous of vaccinated patients. Upon infection, they released significant pro-inflammatory cytokines and chemokines by macrophages and monocytes and expressed antigen-presenting relevant genes by dendritic cells. Such immune responses of nasopharyngeal innate immune cells would facilitate the strengthened expression of cytotoxic genes in virus-specific T-cell or B-cell differentiation into antibody-secreting cells at the early stage of breakthrough infection through cell interaction between innate and adaptive immune cells. Notably, these alterations of nasopharyngeal immune cells in breakthrough infection depended on the activated Nuclear factor-κB (NF-κB) and NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) signaling rather than type I interferon responses due to the general reduction in interferon-stimulated gene expression. Our findings suggest that vaccination potentially strengthens innate immune barriers and virus-specific memory immune cell responses, which could be quickly activated to defend against variant breakthrough infection and maintain nasopharyngeal epithelial cell integrity. Thus, this study highlights the necessity of a boost via nasal mucous after intramuscular immunization.
Collapse
Affiliation(s)
- Xiaomeng He
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yingyin Cao
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yanmei Lu
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Furong Qi
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Haiyan Wang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Xuejiao Liao
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Gang Xu
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Biao Yang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Junhua Ma
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Dapeng Li
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Xian Tang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Zheng Zhang
- Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
- Shenzhen Research Center for Communicable Disease Diagnosis and Treatment of Chinese Academy of Medical Science, Shenzhen, Guangdong, China
| |
Collapse
|