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Bruhn M, Obara M, Salam A, Costa B, Ziegler A, Waltl I, Pavlou A, Hoffmann M, Graalmann T, Pöhlmann S, Schambach A, Kalinke U. Diversification of the VH3-53 immunoglobulin gene segment by somatic hypermutation results in neutralization of SARS-CoV-2 virus variants. Eur J Immunol 2024:e2451056. [PMID: 38593351 DOI: 10.1002/eji.202451056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/27/2024] [Accepted: 03/29/2024] [Indexed: 04/11/2024]
Abstract
COVID-19 induces re-circulating long-lived memory B cells (MBC) that, upon re-encounter with the pathogen, are induced to mount immunoglobulin responses. During convalescence, antibodies are subjected to affinity maturation, which enhances the antibody binding strength and generates new specificities that neutralize virus variants. Here, we performed a single-cell RNA sequencing analysis of spike-specific B cells from a SARS-CoV-2 convalescent subject. After COVID-19 vaccination, matured infection-induced MBC underwent recall and differentiated into plasmablasts. Furthermore, the transcriptomic profiles of newly activated B cells transiently shifted toward the ones of atypical and CXCR3+ B cells and several B-cell clonotypes massively expanded. We expressed monoclonal antibodies (mAbs) from all B-cell clones from the largest clonotype that used the VH3-53 gene segment. The in vitro analysis revealed that some somatic hypermutations enhanced the neutralization breadth of mAbs in a putatively stochastic manner. Thus, somatic hypermutation of B-cell clonotypes generates an anticipatory memory that can neutralize new virus variants.
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Affiliation(s)
- Matthias Bruhn
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
| | - Maureen Obara
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
| | - Abdus Salam
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
| | - Bibiana Costa
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
| | - Annett Ziegler
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
| | - Inken Waltl
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
| | - Andreas Pavlou
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
| | - Markus Hoffmann
- Infection Biology Unit, German Primate Center, Göttingen, Germany
- Faculty of Biology, Georg-August-University Göttingen, Göttingen, Germany
| | - Theresa Graalmann
- Department for Rheumatology and Immunology, Hannover Medical School, Hannover, Germany
- Junior Research Group for Translational Immunology, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
- Biomedical Research in End-Stage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany
| | - Stefan Pöhlmann
- Infection Biology Unit, German Primate Center, Göttingen, Germany
- Faculty of Biology, Georg-August-University Göttingen, Göttingen, Germany
| | - Axel Schambach
- Institute of Experimental Hematology, Hannover Medical School, Hannover, Germany
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- German Center for Infection Research (DZIF), partner site Hannover-Braunschweig, Hannover, Germany
| | - Ulrich Kalinke
- Institute for Experimental Infection Research, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Helmholtz Centre for Infection Research and the Hannover Medical School, Hannover, Germany
- German Center for Infection Research (DZIF), partner site Hannover-Braunschweig, Hannover, Germany
- Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
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2
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Townsend DR, Towers DM, Lavinder JJ, Ippolito GC. Innovations and trends in antibody repertoire analysis. Curr Opin Biotechnol 2024; 86:103082. [PMID: 38428225 DOI: 10.1016/j.copbio.2024.103082] [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: 10/06/2023] [Revised: 12/07/2023] [Accepted: 01/28/2024] [Indexed: 03/03/2024]
Abstract
Monoclonal antibodies have revolutionized the treatment of human diseases, which has made them the fastest-growing class of therapeutics, with global sales expected to reach $346.6 billion USD by 2028. Advances in antibody engineering and development have led to the creation of increasingly sophisticated antibody-based therapeutics (e.g. bispecific antibodies and chimeric antigen receptor T cells). However, approaches for antibody discovery have remained comparatively grounded in conventional yet reliable in vitro assays. Breakthrough developments in high-throughput single B-cell sequencing and immunoglobulin proteomic serology, however, have enabled the identification of high-affinity antibodies directly from endogenous B cells or circulating immunoglobulin produced in vivo. Moreover, advances in artificial intelligence offer vast potential for antibody discovery and design with large-scale repertoire datasets positioned as the optimal source of training data for such applications. We highlight advances and recent trends in how these technologies are being applied to antibody repertoire analysis.
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Affiliation(s)
- Douglas R Townsend
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Dalton M Towers
- Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Jason J Lavinder
- Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Gregory C Ippolito
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA.
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Woodruff MC, Faliti CE, Sanz I. Systems biology of B cells in COVID-19. Semin Immunol 2024; 72:101875. [PMID: 38489999 DOI: 10.1016/j.smim.2024.101875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/04/2024] [Accepted: 03/04/2024] [Indexed: 03/17/2024]
Abstract
The integration of multi-'omic datasets into complex systems-wide assessments has become a mainstay in immunologic investigation. This focus on high-dimensional data collection and analysis was on full display in the investigation of COVID-19, the respiratory illness resulting from infection by the novel coronavirus SARS-CoV-2. Particularly in the area of B cell biology, tremendous efforts in both cellular and serologic investigation have resulted in an increasingly detailed mapping of the coordinated effector, memory, and antibody secreting cell responses that underpin the development of humoral immunity in response to primary viral infection. Further, the rapid development and deployment of effective vaccines has allowed for the assessment of developing memory responses across a wide variety of immune contexts, including in patients with compromised immune function. The result has been a period of rapid gains in the understanding of B cell biology unrestricted to the study of COVID-19. Here, we outline the systems-level technologies that have been routinely implemented in these investigations throughout the pandemic, and discuss how their use has led to clear and applicable gains in pursuance of the amelioration of human infectious disease and beyond.
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Affiliation(s)
- Matthew C Woodruff
- Department of Medicine, Division of Rheumatology, Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA; Emory Autoimmunity Center of Excellence, Emory University, Atlanta, GA, USA.
| | - Caterina E Faliti
- Department of Medicine, Division of Rheumatology, Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA; Emory Autoimmunity Center of Excellence, Emory University, Atlanta, GA, USA.
| | - Ignacio Sanz
- Department of Medicine, Division of Rheumatology, Lowance Center for Human Immunology, Emory University, Atlanta, GA, USA; Emory Autoimmunity Center of Excellence, Emory University, Atlanta, GA, USA
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4
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Cervia-Hasler C, Brüningk SC, Hoch T, Fan B, Muzio G, Thompson RC, Ceglarek L, Meledin R, Westermann P, Emmenegger M, Taeschler P, Zurbuchen Y, Pons M, Menges D, Ballouz T, Cervia-Hasler S, Adamo S, Merad M, Charney AW, Puhan M, Brodin P, Nilsson J, Aguzzi A, Raeber ME, Messner CB, Beckmann ND, Borgwardt K, Boyman O. Persistent complement dysregulation with signs of thromboinflammation in active Long Covid. Science 2024; 383:eadg7942. [PMID: 38236961 DOI: 10.1126/science.adg7942] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 11/24/2023] [Indexed: 01/23/2024]
Abstract
Long Covid is a debilitating condition of unknown etiology. We performed multimodal proteomics analyses of blood serum from COVID-19 patients followed up to 12 months after confirmed severe acute respiratory syndrome coronavirus 2 infection. Analysis of >6500 proteins in 268 longitudinal samples revealed dysregulated activation of the complement system, an innate immune protection and homeostasis mechanism, in individuals experiencing Long Covid. Thus, active Long Covid was characterized by terminal complement system dysregulation and ongoing activation of the alternative and classical complement pathways, the latter associated with increased antibody titers against several herpesviruses possibly stimulating this pathway. Moreover, markers of hemolysis, tissue injury, platelet activation, and monocyte-platelet aggregates were increased in Long Covid. Machine learning confirmed complement and thromboinflammatory proteins as top biomarkers, warranting diagnostic and therapeutic interrogation of these systems.
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Affiliation(s)
- Carlo Cervia-Hasler
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Sarah C Brüningk
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Tobias Hoch
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Bowen Fan
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Giulia Muzio
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Ryan C Thompson
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Laura Ceglarek
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Roman Meledin
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Patrick Westermann
- Precision Proteomics Center, Swiss Institute of Allergy and Asthma Research, University of Zurich, 7265 Davos, Switzerland
| | - Marc Emmenegger
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Patrick Taeschler
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Yves Zurbuchen
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Michele Pons
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Dominik Menges
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, 8001 Zurich, Switzerland
| | - Tala Ballouz
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, 8001 Zurich, Switzerland
| | - Sara Cervia-Hasler
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Sarah Adamo
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Miriam Merad
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexander W Charney
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Milo Puhan
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, 8001 Zurich, Switzerland
| | - Petter Brodin
- Unit for Clinical Pediatrics, Department of Women's and Children's Health, Karolinska Institute, 17165 Solna, Sweden
- Department of Immunology and Inflammation, Imperial College London, London W12 0NN, UK
| | - Jakob Nilsson
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Adriano Aguzzi
- Institute of Neuropathology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Miro E Raeber
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
| | - Christoph B Messner
- Precision Proteomics Center, Swiss Institute of Allergy and Asthma Research, University of Zurich, 7265 Davos, Switzerland
| | - Noam D Beckmann
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Division of Data Driven and Digital Medicine (D3M), Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Karsten Borgwardt
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Onur Boyman
- Department of Immunology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
- Faculty of Medicine and Faculty of Science, University of Zurich, 8006 Zurich, Switzerland
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5
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Ten Brinke A, Steuten J, van Ham SM. Reply. J Allergy Clin Immunol 2024; 153:354-355. [PMID: 37865900 DOI: 10.1016/j.jaci.2023.09.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/23/2023]
Affiliation(s)
- Anja Ten Brinke
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands.
| | - J Steuten
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands
| | - S Marieke van Ham
- Department of Immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands; Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands
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6
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Olivieri G, Cotugno N, Palma P. Emerging insights into atypical B cells in pediatric chronic infectious diseases and immune system disorders: T(o)-bet on control of B-cell immune activation. J Allergy Clin Immunol 2024; 153:12-27. [PMID: 37890706 PMCID: PMC10842362 DOI: 10.1016/j.jaci.2023.10.009] [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: 08/04/2023] [Revised: 10/13/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023]
Abstract
Repetitive or persistent cellular stimulation in vivo has been associated with the development of a heterogeneous B-cell population that exhibits a distinctive phenotype and, in addition to classical B-cell markers, often expresses the transcription factor T-bet and myeloid marker CD11c. Research suggests that this atypical population consists of B cells with distinct B-cell receptor specificities capable of binding the antigens responsible for their development. The expansion of this population occurs in the presence of chronic inflammatory conditions and autoimmune diseases where different nomenclatures have been used to describe them. However, as a result of the diverse contexts in which they have been investigated, these cells have remained largely enigmatic, with much ambiguity remaining regarding their phenotype and function in humoral immune response as well as their role in autoimmunity. Atypical B cells have garnered considerable interest because of their ability to produce specific antibodies and/or autoantibodies and because of their association with key disease manifestations. Although they have been widely described in the context of adults, little information is present for children. Therefore, the aim of this narrative review is to describe the characteristics of this population, suggest their function in pediatric immune-related diseases and chronic infections, and explore their potential therapeutic avenues.
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Affiliation(s)
- Giulio Olivieri
- Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; PhD Program in Immunology, Molecular Medicine and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Cotugno
- Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; Department of Systems Medicine, Molecular Medicine, and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy
| | - Paolo Palma
- Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; Department of Systems Medicine, Molecular Medicine, and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy.
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7
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Tangye SG. Do multiple subsets of CD11c + B cells exist? You (T)-Bet! J Allergy Clin Immunol 2023; 152:607-609. [PMID: 37495119 DOI: 10.1016/j.jaci.2023.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/10/2023] [Accepted: 07/14/2023] [Indexed: 07/28/2023]
Affiliation(s)
- Stuart G Tangye
- Garvan Institute of Medical Research, Darlinghurst; School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales Sydney.
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8
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Lopes de Assis F, Hoehn KB, Zhang X, Kardava L, Smith CD, El Merhebi O, Buckner CM, Trihemasava K, Wang W, Seamon CA, Chen V, Schaughency P, Cheung F, Martins AJ, Chiang CI, Li Y, Tsang JS, Chun TW, Kleinstein SH, Moir S. Tracking B cell responses to the SARS-CoV-2 mRNA-1273 vaccine. Cell Rep 2023; 42:112780. [PMID: 37440409 PMCID: PMC10529190 DOI: 10.1016/j.celrep.2023.112780] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/15/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023] Open
Abstract
Protective immunity following vaccination is sustained by long-lived antibody-secreting cells and resting memory B cells (MBCs). Responses to two-dose SARS-CoV-2 mRNA-1273 vaccination are evaluated longitudinally by multimodal single-cell analysis in three infection-naïve individuals. Integrated surface protein, transcriptomics, and B cell receptor (BCR) repertoire analysis of sorted plasmablasts and spike+ (S-2P+) and S-2P- B cells reveal clonal expansion and accumulating mutations among S-2P+ cells. These cells are enriched in a cluster of immunoglobulin G-expressing MBCs and evolve along a bifurcated trajectory rooted in CXCR3+ MBCs. One branch leads to CD11c+ atypical MBCs while the other develops from CD71+ activated precursors to resting MBCs, the dominant population at month 6. Among 12 evolving S-2P+ clones, several are populated with plasmablasts at early timepoints as well as CD71+ activated and resting MBCs at later timepoints, and display intra- and/or inter-cohort BCR convergence. These relationships suggest a coordinated and predictable evolution of SARS-CoV-2 vaccine-generated MBCs.
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Affiliation(s)
- Felipe Lopes de Assis
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Kenneth B Hoehn
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Xiaozhen Zhang
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lela Kardava
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Connor D Smith
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Omar El Merhebi
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Clarisa M Buckner
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Krittin Trihemasava
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Wei Wang
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Catherine A Seamon
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Vicky Chen
- Integrated Data Sciences Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Paul Schaughency
- Integrated Data Sciences Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Foo Cheung
- NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA
| | - Andrew J Martins
- Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA
| | - Chi-I Chiang
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA
| | - Yuxing Li
- Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA; Department of Microbiology and Immunology and Center for Biomolecular Therapeutics, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - John S Tsang
- NIH Center for Human Immunology, NIAID, NIH, Bethesda, MD 20892, USA; Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD 20892, USA
| | - Tae-Wook Chun
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Steven H Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, CT 06520, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA; Department of Immunobiology, Yale School of Medicine, New Haven, CT 06520, USA
| | - Susan Moir
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
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9
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Tang Z, Yu P, Guo Q, Chen M, Lei Y, Zhou L, Mai W, Chen L, Deng M, Kong W, Niu C, Xiong X, Li W, Chen C, Lai C, Wang Q, Li B, Ji T. Clinical characteristics and host immunity responses of SARS-CoV-2 Omicron variant BA.2 with deletion of ORF7a, ORF7b and ORF8. Virol J 2023; 20:106. [PMID: 37248496 DOI: 10.1186/s12985-023-02066-3] [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: 02/05/2023] [Accepted: 05/08/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND The pathogenicity and virulence of the Omicron strain have weakened significantly pathogenesis of Omicron variants. Accumulating data indicated accessory proteins play crucial roles in host immune evasion and virus pathogenesis of SARS-CoV-2. Therefore, the impact of simultaneous deletion of accessory protein ORF7a, ORF7b and ORF8 on the clinical characteristics and specific immunity in Omicron breakthrough infected patients (BIPs) need to be verified. METHODS Herein, plasma cytokines were identified using a commercial Multi-cytokine detection kit. Enzyme-linked immunosorbent assay and pseudovirus neutralization assays were utilized to determine the titers of SARS-CoV-2 specific binding antibodies and neutralizing antibodies, respectively. In addition, an enzyme-linked immunospot assay was used to quantify SARS-CoV-2 specific T cells and memory B cells. RESULTS A local COVID-19 outbreak was caused by the Omicron BA.2 variant, which featured a deletion of 871 base pairs (∆871 BA.2), resulting in the removal of ORF7a, ORF7b, and ORF8. We found that hospitalized patients with ∆871 BA.2 had significantly shorter hospital stays than those with wild-type (WT) BA.2. Plasma cytokine levels in both ∆871 BA.2 and WT BA.2 patients were within the normal range of reference, and there was no notable difference in the titers of SARS-CoV-2 ancestor or Omicron-specific binding IgG antibodies, neutralizing antibody titers, effector T cells, and memory B cells frequencies between ∆871 BA.2 and WT BA.2 infected adult patients. However, antibody titers in ∆871 BA.2 infected adolescents were higher than in adults. CONCLUSIONS The simultaneous deletion of ORF7a, ORF7b, and ORF8 facilitates the rapid clearance of the BA.2 variant, without impacting cytokine levels or affecting SARS-CoV-2 specific humoral and cellular immunity in Omicron-infected individuals.
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Affiliation(s)
- Zhizhong Tang
- Urology Surgery Department, Maoming People's Hospital, Maoming, 525000, People's Republic of China
| | - Pei Yu
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Qianfang Guo
- Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong, 511430, People's Republic of China
| | - Mingxiao Chen
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Yu Lei
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Lei Zhou
- Department Of Pathology Laboratory, Maoming People's Hospital, Maoming, 525000, People's Republic of China
| | - Weikang Mai
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Lu Chen
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Min Deng
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Weiya Kong
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China
| | - Chuanying Niu
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510535, People's Republic of China
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangdong Provincial Key Laboratory of Biocomputing, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, 510535, People's Republic of China
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health-Guangdong Laboratory), Guangzhou, 510005, People's Republic of China
| | - Wenrui Li
- Clinical Laboratory Medicine Department, Dongguan Ninth People's Hospital, Dongguan, 523016, People's Republic of China
| | - Chunbo Chen
- Intensive Care Unit Department, Maoming People's Hospital, Maoming, 525000, People's Republic of China
| | - Changchun Lai
- Clinical Laboratory Medicine Department, Maoming People's Hospital, Maoming, 525000, People's Republic of China.
| | - Qian Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, People's Republic of China.
| | - Baisheng Li
- Guangdong Provincial Key Laboratory of Pathogen Detection for Emerging Infectious Disease Response, Institute of Microbiology, Guangdong Provincial Center for Disease Control and Prevention, Guangdong, 511430, People's Republic of China.
| | - Tianxing Ji
- Clinical Laboratory Medicine Department, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510260, People's Republic of China.
- Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, 511495, People's Republic of China.
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