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Cui L, Li T, Xue W, Zhang S, Wang H, Liu H, Gu Y, Xia N, Li S. Comprehensive Overview of Broadly Neutralizing Antibodies against SARS-CoV-2 Variants. Viruses 2024; 16:900. [PMID: 38932192 PMCID: PMC11209230 DOI: 10.3390/v16060900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/09/2024] [Accepted: 05/29/2024] [Indexed: 06/28/2024] Open
Abstract
Currently, SARS-CoV-2 has evolved into various variants, including the numerous highly mutated Omicron sub-lineages, significantly increasing immune evasion ability. The development raises concerns about the possibly diminished effectiveness of available vaccines and antibody-based therapeutics. Here, we describe those representative categories of broadly neutralizing antibodies (bnAbs) that retain prominent effectiveness against emerging variants including Omicron sub-lineages. The molecular characteristics, epitope conservation, and resistance mechanisms of these antibodies are further detailed, aiming to offer suggestion or direction for the development of therapeutic antibodies, and facilitate the design of vaccines with broad-spectrum potential.
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Affiliation(s)
- Lingyan Cui
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Tingting Li
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Wenhui Xue
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Sibo Zhang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Hong Wang
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Hongjing Liu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Ying Gu
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Ningshao Xia
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
| | - Shaowei Li
- State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, School of Public Health, School of Life Sciences, Xiamen University, Xiamen 361102, China (N.X.)
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Collaborative Innovation Center of Biologic Products, National Innovation Platform for Industry-Education Integration in Vaccine Research, The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen 361102, China
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2
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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.
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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
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3
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Sankhala RS, Dussupt V, Chen WH, Bai H, Martinez EJ, Jensen JL, Rees PA, Hajduczki A, Chang WC, Choe M, Yan L, Sterling SL, Swafford I, Kuklis C, Soman S, King J, Corbitt C, Zemil M, Peterson CE, Mendez-Rivera L, Townsley SM, Donofrio GC, Lal KG, Tran U, Green EC, Smith C, de Val N, Laing ED, Broder CC, Currier JR, Gromowski GD, Wieczorek L, Rolland M, Paquin-Proulx D, van Dyk D, Britton Z, Rajan S, Loo YM, McTamney PM, Esser MT, Polonis VR, Michael NL, Krebs SJ, Modjarrad K, Joyce MG. Antibody targeting of conserved sites of vulnerability on the SARS-CoV-2 spike receptor-binding domain. Structure 2024; 32:131-147.e7. [PMID: 38157856 PMCID: PMC11145656 DOI: 10.1016/j.str.2023.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 09/14/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024]
Abstract
Given the continuous emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VoCs), immunotherapeutics that target conserved epitopes on the spike (S) glycoprotein have therapeutic advantages. Here, we report the crystal structure of the SARS-CoV-2 S receptor-binding domain (RBD) at 1.95 Å and describe flexibility and distinct conformations of the angiotensin-converting enzyme 2 (ACE2)-binding site. We identify a set of SARS-CoV-2-reactive monoclonal antibodies (mAbs) with broad RBD cross-reactivity including SARS-CoV-2 Omicron subvariants, SARS-CoV-1, and other sarbecoviruses and determine the crystal structures of mAb-RBD complexes with Ab246 and CR3022 mAbs targeting the class IV site, WRAIR-2134, which binds the recently designated class V epitope, and WRAIR-2123, the class I ACE2-binding site. The broad reactivity of class IV and V mAbs to conserved regions of SARS-CoV-2 VoCs and other sarbecovirus provides a framework for long-term immunotherapeutic development strategies.
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Affiliation(s)
- Rajeshwer S Sankhala
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Vincent Dussupt
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Wei-Hung Chen
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Hongjun Bai
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Elizabeth J Martinez
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Jaime L Jensen
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Phyllis A Rees
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Agnes Hajduczki
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - William C Chang
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Misook Choe
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Lianying Yan
- Department of Microbiology and Immunology, Uniformed Services University, Bethesda, MD, USA
| | - Spencer L Sterling
- Department of Microbiology and Immunology, Uniformed Services University, Bethesda, MD, USA
| | - Isabella Swafford
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Caitlin Kuklis
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Sandrine Soman
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Jocelyn King
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Courtney Corbitt
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Michelle Zemil
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Caroline E Peterson
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Letzibeth Mendez-Rivera
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Samantha M Townsley
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Gina C Donofrio
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Kerri G Lal
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Ursula Tran
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Ethan C Green
- Department of Microbiology and Immunology, Uniformed Services University, Bethesda, MD, USA
| | - Clayton Smith
- Center for Molecular Microscopy, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA; Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Natalia de Val
- Center for Molecular Microscopy, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA; Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, MD, USA
| | - Eric D Laing
- Department of Microbiology and Immunology, Uniformed Services University, Bethesda, MD, USA
| | - Christopher C Broder
- Department of Microbiology and Immunology, Uniformed Services University, Bethesda, MD, USA
| | - Jeffrey R Currier
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Gregory D Gromowski
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Lindsay Wieczorek
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Morgane Rolland
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Dominic Paquin-Proulx
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Dewald van Dyk
- Antibody Discovery and Protein Engineering (ADPE), BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Zachary Britton
- Antibody Discovery and Protein Engineering (ADPE), BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Saravanan Rajan
- Antibody Discovery and Protein Engineering (ADPE), BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Yueh Ming Loo
- Vaccines and Immune Therapies, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Patrick M McTamney
- Vaccines and Immune Therapies, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Mark T Esser
- Vaccines and Immune Therapies, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Victoria R Polonis
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Nelson L Michael
- Center for Infectious Diseases Research, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Shelly J Krebs
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
| | - Kayvon Modjarrad
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - M Gordon Joyce
- Emerging Infectious Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA.
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4
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Rao X, Zhao R, Tong Z, Guo S, Peng W, Liu K, Li S, Wu L, Tong J, Chai Y, Han P, Wang F, Jia P, Li Z, Zhao X, Li D, Zhang R, Zhang X, Zou W, Li W, Wang Q, Gao GF, Wu Y, Dai L, Gao F. Defining a de novo non-RBM antibody as RBD-8 and its synergistic rescue of immune-evaded antibodies to neutralize Omicron SARS-CoV-2. Proc Natl Acad Sci U S A 2023; 120:e2314193120. [PMID: 38109549 PMCID: PMC10756187 DOI: 10.1073/pnas.2314193120] [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: 08/18/2023] [Accepted: 10/27/2023] [Indexed: 12/20/2023] Open
Abstract
Currently, monoclonal antibodies (MAbs) targeting the SARS-CoV-2 receptor binding domain (RBD) of spike (S) protein are classified into seven classes based on their binding epitopes. However, most of these antibodies are seriously impaired by SARS-CoV-2 Omicron and its subvariants, especially the recent BQ.1.1, XBB and its derivatives. Identification of broadly neutralizing MAbs against currently circulating variants is imperative. In this study, we identified a "breathing" cryptic epitope in the S protein, named as RBD-8. Two human MAbs, BIOLS56 and IMCAS74, were isolated recognizing this epitope with broad neutralization abilities against tested sarbecoviruses, including SARS-CoV, pangolin-origin coronaviruses, and all the SARS-CoV-2 variants tested (Omicron BA.4/BA.5, BQ.1.1, and XBB subvariants). Searching through the literature, some more RBD-8 MAbs were defined. More importantly, BIOLS56 rescues the immune-evaded antibody, RBD-5 MAb IMCAS-L4.65, by making a bispecific MAb, to neutralize BQ.1 and BQ.1.1, thereby producing an MAb to cover all the currently circulating Omicron subvariants. Structural analysis reveals that the neutralization effect of RBD-8 antibodies depends on the extent of epitope exposure, which is affected by the angle of antibody binding and the number of up-RBDs induced by angiotensin-converting enzyme 2 binding. This cryptic epitope which recognizes non- receptor binding motif (non-RBM) provides guidance for the development of universal therapeutic antibodies and vaccines against COVID-19.
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Affiliation(s)
- Xia Rao
- Laboratory of Protein Engineering and Vaccines, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin300308, China
- Research Network of Immunity and Health, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing100101, China
- University of Chinese Academy of Sciences, Beijing100049, China
| | - Runchu Zhao
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- Institute of Physical Science and Information, Anhui University, Hefei230039, China
| | - Zhou Tong
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- Shanxi Academy of Advanced Research and Innovation, Taiyuan030032, China
| | - Shuxin Guo
- Faculty of Health Sciences, University of Macau, Macau Special Administrative Region999078, China
| | - Weiyu Peng
- Institute of Pediatrics, Shenzhen Children’s Hospital, Shenzhen518038, China
| | - Kefang Liu
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Shihua Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Lili Wu
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Jianyu Tong
- Shanxi Academy of Advanced Research and Innovation, Taiyuan030032, China
| | - Yan Chai
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Pu Han
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Feiran Wang
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- School of Life Sciences, University of Science and Technology of China, Hefei230026, China
| | - Peng Jia
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Zhaohui Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Xin Zhao
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Dedong Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Rong Zhang
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
- Laboratory of Animal Infectious Diseases, College of Animal Sciences and Veterinary Medicine, Guangxi University, Nanning530004, China
| | - Xue Zhang
- Department of Pathogen Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Weiwei Zou
- Department of Pathogen Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Weiwei Li
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Qihui Wang
- University of Chinese Academy of Sciences, Beijing100049, China
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - George Fu Gao
- Laboratory of Protein Engineering and Vaccines, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin300308, China
- Research Network of Immunity and Health, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing100101, China
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Yan Wu
- Department of Pathogen Microbiology, School of Basic Medical Sciences, Capital Medical University, Beijing100069, China
| | - Lianpan Dai
- University of Chinese Academy of Sciences, Beijing100049, China
- Chinese Academy of Sciences Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing100101, China
| | - Feng Gao
- Laboratory of Protein Engineering and Vaccines, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin300308, China
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5
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Effects of Prior Infection with SARS-CoV-2 on B Cell Receptor Repertoire Response during Vaccination. Vaccines (Basel) 2022; 10:vaccines10091477. [PMID: 36146555 PMCID: PMC9506540 DOI: 10.3390/vaccines10091477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/24/2022] [Accepted: 08/29/2022] [Indexed: 11/24/2022] Open
Abstract
Understanding the B cell response to SARS-CoV-2 vaccines is a high priority. High-throughput sequencing of the B cell receptor (BCR) repertoire allows for dynamic characterization of B cell response. Here, we sequenced the BCR repertoire of individuals vaccinated by the Pfizer SARS-CoV-2 mRNA vaccine. We compared BCR repertoires of individuals with previous COVID-19 infection (seropositive) to individuals without previous infection (seronegative). We discovered that vaccine-induced expanded IgG clonotypes had shorter heavy-chain complementarity determining region 3 (HCDR3), and for seropositive individuals, these expanded clonotypes had higher somatic hypermutation (SHM) than seronegative individuals. We uncovered shared clonotypes present in multiple individuals, including 28 clonotypes present across all individuals. These 28 shared clonotypes had higher SHM and shorter HCDR3 lengths compared to the rest of the BCR repertoire. Shared clonotypes were present across both serotypes, indicating convergent evolution due to SARS-CoV-2 vaccination independent of prior viral exposure.
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Abstract
The COVID-19 pandemic has caused an unprecedented health crisis and economic burden worldwide. Its etiological agent SARS-CoV-2, a new virus in the coronavirus family, has infected hundreds of millions of people worldwide. SARS-CoV-2 has evolved over the past 2 years to increase its transmissibility as well as to evade the immunity established by previous infection and vaccination. Nevertheless, strong immune responses can be elicited by viral infection and vaccination, which have proved to be protective against the emergence of variants, particularly with respect to hospitalization or severe disease. Here, we review our current understanding of how the virus enters the host cell and how our immune system is able to defend against cell entry and infection. Neutralizing antibodies are a major component of our immune defense and have been extensively studied for SARS-CoV-2 and its variants. Structures of these neutralizing antibodies have provided valuable insights into epitopes that are protective against the original ancestral virus and the variants that have emerged. The molecular characterization of neutralizing epitopes as well as epitope conservation and resistance are important for design of next-generation vaccines and antibody therapeutics.
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Affiliation(s)
- Hejun Liu
- Department of Integrative Structural and Computational BiologyThe Scripps Research InstituteLa JollaCaliforniaUSA
| | - Ian A. Wilson
- Department of Integrative Structural and Computational BiologyThe Scripps Research InstituteLa JollaCaliforniaUSA
- The Skaggs Institute for Chemical BiologyThe Scripps Research InstituteLa JollaCaliforniaUSA
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7
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Hale M, Netland J, Chen Y, Thouvenel CD, Smith KN, Rich LM, Vanderwall ER, Miranda MC, Eggenberger J, Hao L, Watson MJ, Mundorff CC, Rodda LB, King NP, Guttman M, Gale M, Abraham J, Debley JS, Pepper M, Rawlings DJ. IgM antibodies derived from memory B cells are potent cross-variant neutralizers of SARS-CoV-2. J Exp Med 2022; 219:213384. [PMID: 35938988 PMCID: PMC9365875 DOI: 10.1084/jem.20220849] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Revised: 06/22/2022] [Accepted: 07/12/2022] [Indexed: 01/14/2023] Open
Abstract
Humoral immunity to SARS-CoV-2 can be supplemented with polyclonal sera from convalescent donors or an engineered monoclonal antibody (mAb) product. While pentameric IgM antibodies are responsible for much of convalescent sera's neutralizing capacity, all available mAbs are based on the monomeric IgG antibody subtype. We now show that IgM mAbs derived from immune memory B cell receptors are potent neutralizers of SARS-CoV-2. IgM mAbs outperformed clonally identical IgG antibodies across a range of affinities and SARS-CoV-2 receptor-binding domain epitopes. Strikingly, efficacy against SARS-CoV-2 viral variants was retained for IgM but not for clonally identical IgG. To investigate the biological role for IgM memory in SARS-CoV-2, we also generated IgM mAbs from antigen-experienced IgM+ memory B cells in convalescent donors, identifying a potent neutralizing antibody. Our results highlight the therapeutic potential of IgM mAbs and inform our understanding of the role for IgM memory against a rapidly mutating pathogen.
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Affiliation(s)
- Malika Hale
- Center for Immunity and Immunotherapies, Seattle Children’s Research Institute, Seattle, WA
| | - Jason Netland
- Department of Immunology, University of Washington School of Medicine, Seattle, WA
| | - Yu Chen
- Center for Immunity and Immunotherapies, Seattle Children’s Research Institute, Seattle, WA
| | | | | | - Lucille M. Rich
- Center for Immunity and Immunotherapies, Seattle Children’s Research Institute, Seattle, WA
| | | | - Marcos C. Miranda
- Institute for Protein Design, University of Washington, Seattle, WA,Department of Biochemistry, University of Washington School of Medicine, Seattle, WA
| | - Julie Eggenberger
- Department of Immunology, University of Washington School of Medicine, Seattle, WA
| | - Linhui Hao
- Department of Immunology, University of Washington School of Medicine, Seattle, WA
| | - Michael J. Watson
- Department of Medicinal Chemistry, University of Washington, Seattle, WA
| | | | - Lauren B. Rodda
- Department of Immunology, University of Washington School of Medicine, Seattle, WA
| | - Neil P. King
- Institute for Protein Design, University of Washington, Seattle, WA,Department of Biochemistry, University of Washington School of Medicine, Seattle, WA
| | - Miklos Guttman
- Department of Medicinal Chemistry, University of Washington, Seattle, WA
| | - Michael Gale
- Department of Immunology, University of Washington School of Medicine, Seattle, WA
| | - Jonathan Abraham
- Department of Microbiology, Blavatnik Institute, Harvard Medical School, Boston, MA
| | - Jason S. Debley
- Center for Immunity and Immunotherapies, Seattle Children’s Research Institute, Seattle, WA
| | - Marion Pepper
- Department of Immunology, University of Washington School of Medicine, Seattle, WA
| | - David J. Rawlings
- Center for Immunity and Immunotherapies, Seattle Children’s Research Institute, Seattle, WA,Department of Immunology, University of Washington School of Medicine, Seattle, WA,Department of Pediatrics, University of Washington School of Medicine, Seattle, WA,Correspondence to David J. Rawlings:
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8
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Garib V, Katsamaki S, Turdikulova S, Levitskaya Y, Zahidova N, Bus G, Karamova K, Rakhmedova M, Magbulova N, Bruhov A, Garib FY, Abdurakhmonov IY. Milk of Cow and Goat, Immunized by Recombinant Protein Vaccine ZF-UZ-VAC2001(Zifivax), Contains Neutralizing Antibodies Against SARS-CoV-2 and Remains Active After Standard Milk Pasteurization. Front Nutr 2022; 9:901871. [PMID: 35789966 PMCID: PMC9249723 DOI: 10.3389/fnut.2022.901871] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/16/2022] [Indexed: 12/12/2022] Open
Abstract
Here, we present the first experimental validation of the possibility for obtaining immune milk with neutralizing antibodies against SARS-CoV-2 from vaccinated cows and goat using approved recombinant protein human coronavirus vaccine, ZF-UZ-VAC2001, in the Republic of Uzbekistan. In the period of 2 weeks after first vaccination, we detected the neutralizing antibodies against coronavirus in the blood serum of vaccinated animals. The neutralizing activity, in its peak on the 21st day after receiving the third dose (77th day from first dose), was effective in neutralization test using a live SARS-CoV-2 in Vero E6 cells, even after 120-fold serum titration. In cows receiving three dose of human vaccine, the MAGLUMI® SARS-CoV-2 neutralizing antibody competitive chemiluminescence immunoassay revealed that colostrum of the first day after calving had a greater activity to neutralize the SARS-CoV-2 compared to colostrum of subsequent three days (4.080 μg/ml vs 2.106, 1.960 and 1.126 μg/ml). In comparison, the neutralizing activity for goat and cow milk was 1.486 μg/ml and 0.222 μg/ml, respectively. We observed a positive correlation of receptor-binding domain (RBD)-specific IgG antibodies between the serum of actively immunized cow and milk-feeding calf during the entire course of vaccination (r = 0.95, p = 0.05). We showed an optimal regime for immune milk pasteurization at 62.5°C for 30 min, which retained specific neutralizing activity to SARS-CoV-2, potentially useful for passive immunization against coronavirus infection threats as an additive approach to the vaccination. This strategy, as a supportive approach to the vaccination, could also be applicable for directly reducing the effect of COVID-19 infection in gastrointestinal tract, supporting mucosal immunity.
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Affiliation(s)
- Victoria Garib
- Division of Immunopathology, Department of Pathophysiology and Allergy Research, Medical University of Vienna, Vienna, Austria
- International Centre of Molecular Allergology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Stefani Katsamaki
- Centre of Advanced Technology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Shahlo Turdikulova
- Centre of Advanced Technology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Yuliya Levitskaya
- International Centre of Molecular Allergology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
- Centre of Advanced Technology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Nodira Zahidova
- Scientific and Diagnostical Centre of Laboratory Technology “Defactum Laboratories”, Tashkent, Uzbekistan
| | - Galina Bus
- Scientific and Diagnostical Centre of Laboratory Technology “Defactum Laboratories”, Tashkent, Uzbekistan
| | - Kristina Karamova
- International Centre of Molecular Allergology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Manona Rakhmedova
- International Centre of Molecular Allergology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Nigora Magbulova
- International Centre of Molecular Allergology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Alexander Bruhov
- International Centre of Molecular Allergology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Firuz Y. Garib
- International Centre of Molecular Allergology, Ministry of Innovative Development of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Ibrokhim Y. Abdurakhmonov
- Centre of Genomics and Bioinformatics, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
- *Correspondence: Ibrokhim Y. Abdurakhmonov,
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9
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Ledsgaard L, Ljungars A, Rimbault C, Sørensen CV, Tulika T, Wade J, Wouters Y, McCafferty J, Laustsen AH. Advances in antibody phage display technology. Drug Discov Today 2022; 27:2151-2169. [PMID: 35550436 DOI: 10.1016/j.drudis.2022.05.002] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 03/24/2022] [Accepted: 05/04/2022] [Indexed: 01/06/2023]
Abstract
Phage display technology can be used for the discovery of antibodies for research, diagnostic, and therapeutic purposes. In this review, we present and discuss key parameters that can be optimized when performing phage display selection campaigns, including the use of different antibody formats and advanced strategies for antigen presentation, such as immobilization, liposomes, nanodiscs, virus-like particles, and whole cells. Furthermore, we provide insights into selection strategies that can be used for the discovery of antibodies with complex binding requirements, such as targeting a specific epitope, cross-reactivity, or pH-dependent binding. Lastly, we provide a description of specialized phage display libraries for the discovery of bispecific antibodies and pH-sensitive antibodies. Together, these methods can be used to improve antibody discovery campaigns against all types of antigen. Teaser: This review provides an overview of the different strategies that can be exploited to improve the success rate of antibody phage display discovery campaigns, addressing key parameters, such as antigen presentation, selection methodologies, and specialized libraries.
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Affiliation(s)
- Line Ledsgaard
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
| | - Anne Ljungars
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - Charlotte Rimbault
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - Christoffer V Sørensen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - Tulika Tulika
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - Jack Wade
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - Yessica Wouters
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
| | - John McCafferty
- Department of Medicine, Addenbrookes Hospital, Box 157, Hills Road, Cambridge, CB2 0QQ, UK; Department of Medicine, Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
| | - Andreas H Laustsen
- Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
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10
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Hummer AM, Abanades B, Deane CM. Advances in computational structure-based antibody design. Curr Opin Struct Biol 2022; 74:102379. [PMID: 35490649 DOI: 10.1016/j.sbi.2022.102379] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/28/2022] [Accepted: 03/17/2022] [Indexed: 12/12/2022]
Abstract
Antibodies are currently the most important class of biotherapeutics and are used to treat numerous diseases. Recent advances in computational methods are ushering in a new era of antibody design, driven in part by accurate structure prediction. Previously, structure-based antibody design has been limited to a relatively small number of cases where accurate structures or models of both the target antigen and antibody were available. As we move towards a time where it is possible to accurately model most antibodies and antigens, and to reliably predict their binding site, there is vast potential for true computational antibody design. In this review, we describe the latest methods that promise to launch a paradigm shift towards entirely in silico structure-based antibody design.
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Affiliation(s)
- Alissa M Hummer
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, UK. https://twitter.com/@AlissaHummer
| | - Brennan Abanades
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, UK. https://twitter.com/@brennanaba
| | - Charlotte M Deane
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, UK.
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11
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Ferrara F, Erasmus MF, D'Angelo S, Leal-Lopes C, Teixeira AA, Choudhary A, Honnen W, Calianese D, Huang D, Peng L, Voss JE, Nemazee D, Burton DR, Pinter A, Bradbury ARM. A pandemic-enabled comparison of discovery platforms demonstrates a naïve antibody library can match the best immune-sourced antibodies. Nat Commun 2022; 13:462. [PMID: 35075126 PMCID: PMC8786865 DOI: 10.1038/s41467-021-27799-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 12/14/2021] [Indexed: 12/02/2022] Open
Abstract
As a result of the SARS-CoV-2 pandemic numerous scientific groups have generated antibodies against a single target: the CoV-2 spike antigen. This has provided an unprecedented opportunity to compare the efficacy of different methods and the specificities and qualities of the antibodies generated by those methods. Generally, the most potent neutralizing antibodies have been generated from convalescent patients and immunized animals, with non-immune phage libraries usually yielding significantly less potent antibodies. Here, we show that it is possible to generate ultra-potent (IC50 < 2 ng/ml) human neutralizing antibodies directly from a unique semisynthetic naïve antibody library format with affinities, developability properties and neutralization activities comparable to the best from hyperimmune sources. This demonstrates that appropriately designed and constructed naïve antibody libraries can effectively compete with immunization to directly provide therapeutic antibodies against a viral pathogen, without the need for immune sources or downstream optimization. The most potent neutralizing antibodies are typically generated from convalescent patients and immunized animals. Here, the authors show it is possible to generate highly potent human neutralizing antibodies against the SARS-CoV-2 spike protein directly from a semisynthetic naïve antibody library.
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Affiliation(s)
| | | | | | - Camila Leal-Lopes
- Bioscience Division, New Mexico Consortium, Los Alamos, NM, 87544, USA
| | - André A Teixeira
- Bioscience Division, New Mexico Consortium, Los Alamos, NM, 87544, USA
| | - Alok Choudhary
- Public Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, 07103, USA
| | - William Honnen
- Public Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, 07103, USA
| | - David Calianese
- Public Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, 07103, USA
| | - Deli Huang
- Life Sciences Institute, Zhejiang University, Hangzhou, China
| | - Linghan Peng
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - James E Voss
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - David Nemazee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Dennis R Burton
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, 92037, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, 02139, USA
| | - Abraham Pinter
- Public Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, 07103, USA
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12
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Hwang YC, Lu RM, Su SC, Chiang PY, Ko SH, Ke FY, Liang KH, Hsieh TY, Wu HC. Monoclonal antibodies for COVID-19 therapy and SARS-CoV-2 detection. J Biomed Sci 2022; 29:1. [PMID: 34983527 PMCID: PMC8724751 DOI: 10.1186/s12929-021-00784-w] [Citation(s) in RCA: 124] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 12/20/2021] [Indexed: 02/07/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic is an exceptional public health crisis that demands the timely creation of new therapeutics and viral detection. Owing to their high specificity and reliability, monoclonal antibodies (mAbs) have emerged as powerful tools to treat and detect numerous diseases. Hence, many researchers have begun to urgently develop Ab-based kits for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Ab drugs for use as COVID-19 therapeutic agents. The detailed structure of the SARS-CoV-2 spike protein is known, and since this protein is key for viral infection, its receptor-binding domain (RBD) has become a major target for therapeutic Ab development. Because SARS-CoV-2 is an RNA virus with a high mutation rate, especially under the selective pressure of aggressively deployed prophylactic vaccines and neutralizing Abs, the use of Ab cocktails is expected to be an important strategy for effective COVID-19 treatment. Moreover, SARS-CoV-2 infection may stimulate an overactive immune response, resulting in a cytokine storm that drives severe disease progression. Abs to combat cytokine storms have also been under intense development as treatments for COVID-19. In addition to their use as drugs, Abs are currently being utilized in SARS-CoV-2 detection tests, including antigen and immunoglobulin tests. Such Ab-based detection tests are crucial surveillance tools that can be used to prevent the spread of COVID-19. Herein, we highlight some key points regarding mAb-based detection tests and treatments for the COVID-19 pandemic.
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Affiliation(s)
- Yu-Chyi Hwang
- Institute of Cellular and Organismic Biology, Academia Sinica, No. 128, Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan
| | - Ruei-Min Lu
- Biomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan
| | - Shih-Chieh Su
- Institute of Cellular and Organismic Biology, Academia Sinica, No. 128, Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan
| | - Pao-Yin Chiang
- Biomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan
| | - Shih-Han Ko
- Biomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan
| | - Feng-Yi Ke
- Biomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan
| | - Kang-Hao Liang
- Biomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan
| | - Tzung-Yang Hsieh
- Institute of Cellular and Organismic Biology, Academia Sinica, No. 128, Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan
| | - Han-Chung Wu
- Institute of Cellular and Organismic Biology, Academia Sinica, No. 128, Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan.
- Biomedical Translation Research Center (BioTReC), Academia Sinica, Taipei, 11529, Taiwan.
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13
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Robinson SA, Raybould MIJ, Schneider C, Wong WK, Marks C, Deane CM. Epitope profiling using computational structural modelling demonstrated on coronavirus-binding antibodies. PLoS Comput Biol 2021; 17:e1009675. [PMID: 34898603 PMCID: PMC8700021 DOI: 10.1371/journal.pcbi.1009675] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 12/23/2021] [Accepted: 11/22/2021] [Indexed: 12/30/2022] Open
Abstract
Identifying the epitope of an antibody is a key step in understanding its function and its potential as a therapeutic. Sequence-based clonal clustering can identify antibodies with similar epitope complementarity, however, antibodies from markedly different lineages but with similar structures can engage the same epitope. We describe a novel computational method for epitope profiling based on structural modelling and clustering. Using the method, we demonstrate that sequence dissimilar but functionally similar antibodies can be found across the Coronavirus Antibody Database, with high accuracy (92% of antibodies in multiple-occupancy structural clusters bind to consistent domains). Our approach functionally links antibodies with distinct genetic lineages, species origins, and coronavirus specificities. This indicates greater convergence exists in the immune responses to coronaviruses than is suggested by sequence-based approaches. Our results show that applying structural analytics to large class-specific antibody databases will enable high confidence structure-function relationships to be drawn, yielding new opportunities to identify functional convergence hitherto missed by sequence-only analysis. Antibodies are a key component of the immune system that combat pathogens by binding to a defined region of their molecular surface (known as an ‘epitope’). The ability to map which antibodies target the same epitopes is crucial when designing non-competing antibody therapeutics or predicting the influence of pathogen mutation on population immunity. While one can use laboratory experiments to deduce when pairs of antibodies engage the same epitope, such experiments are very expensive and time consuming if used to compare on the order of thousands of antibodies. In this work, we report a new computational algorithm (SPACE) that clusters antibodies that target the same epitope based on their predicted 3D structure, as binding site structure is a property often conserved between binders complementary to the same epitope. Unlike existing antibody epitope profiling tools which assume two antibodies must share a high sequence identity/similar genetic basis to engage the same region, our orthogonal method can detect broader patterns of convergent evolution across binders to different pathogen strains, and between antibodies with different genetic and even species origins.
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MESH Headings
- Amino Acid Sequence
- Animals
- Antibodies, Neutralizing/chemistry
- Antibodies, Neutralizing/genetics
- Antibodies, Viral/chemistry
- Antibodies, Viral/genetics
- Antibodies, Viral/metabolism
- Antibody Specificity
- Antigen-Antibody Complex/chemistry
- Antigen-Antibody Complex/genetics
- Antigen-Antibody Reactions/genetics
- Antigen-Antibody Reactions/immunology
- Antigens, Viral/chemistry
- COVID-19/immunology
- COVID-19/virology
- Computational Biology
- Coronavirus/chemistry
- Coronavirus/genetics
- Coronavirus/immunology
- Databases, Chemical
- Epitope Mapping
- Epitopes, B-Lymphocyte/chemistry
- Epitopes, B-Lymphocyte/genetics
- Humans
- Mice
- Models, Molecular
- Pandemics
- SARS-CoV-2/chemistry
- SARS-CoV-2/genetics
- SARS-CoV-2/immunology
- Single-Domain Antibodies/immunology
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Affiliation(s)
- Sarah A Robinson
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, United Kingdom
| | - Matthew I J Raybould
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, United Kingdom
| | - Constantin Schneider
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, United Kingdom
| | - Wing Ki Wong
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, United Kingdom
| | - Claire Marks
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, United Kingdom
| | - Charlotte M Deane
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, United Kingdom
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14
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Yuan M, Huang D, Lee CCD, Wu NC, Jackson AM, Zhu X, Liu H, Peng L, van Gils MJ, Sanders RW, Burton DR, Reincke SM, Prüss H, Kreye J, Nemazee D, Ward AB, Wilson IA. Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants. Science 2021; 373:818-823. [PMID: 34016740 PMCID: PMC8284396 DOI: 10.1126/science.abh1139] [Citation(s) in RCA: 252] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 05/12/2021] [Indexed: 12/12/2022]
Abstract
Neutralizing antibodies (nAbs) elicited against the receptor binding site (RBS) of the spike protein of wild-type severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are generally less effective against recent variants of concern. RBS residues Glu484, Lys417, and Asn501 are mutated in variants first described in South Africa (B.1.351) and Brazil (P.1). We analyzed their effects on angiotensin-converting enzyme 2 binding, as well as the effects of two of these mutations (K417N and E484K) on nAbs isolated from COVID-19 patients. Binding and neutralization of the two most frequently elicited antibody families (IGHV3-53/3-66 and IGHV1-2), which can both bind the RBS in alternative binding modes, are abrogated by K417N, E484K, or both. These effects can be structurally explained by their extensive interactions with RBS nAbs. However, nAbs to the more conserved, cross-neutralizing CR3022 and S309 sites were largely unaffected. The results have implications for next-generation vaccines and antibody therapies.
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MESH Headings
- Angiotensin-Converting Enzyme 2/metabolism
- Antibodies, Neutralizing/immunology
- Antibodies, Neutralizing/metabolism
- Antibodies, Viral/immunology
- Antibodies, Viral/metabolism
- Antigenic Variation
- Antigens, Viral/chemistry
- Antigens, Viral/genetics
- Antigens, Viral/immunology
- Antigens, Viral/metabolism
- Binding Sites
- Binding Sites, Antibody
- COVID-19/immunology
- COVID-19/virology
- Epitopes
- Humans
- Immune Evasion
- Mutation
- Protein Binding
- Protein Domains
- Receptors, Coronavirus/metabolism
- SARS-CoV-2/chemistry
- SARS-CoV-2/genetics
- SARS-CoV-2/immunology
- Spike Glycoprotein, Coronavirus/chemistry
- Spike Glycoprotein, Coronavirus/genetics
- Spike Glycoprotein, Coronavirus/immunology
- Spike Glycoprotein, Coronavirus/metabolism
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Affiliation(s)
- Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Deli Huang
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Chang-Chun D Lee
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Nicholas C Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Abigail M Jackson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Xueyong Zhu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Hejun Liu
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Linghang Peng
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Marit J van Gils
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Rogier W Sanders
- Department of Medical Microbiology and Infection Prevention, Amsterdam University Medical Centers, Location AMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY 10021, USA
| | - Dennis R Burton
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
- Ragon Institute of MGH, Harvard, and MIT, Cambridge, MA 02139, USA
| | - S Momsen Reincke
- German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Harald Prüss
- German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jakob Kreye
- German Center for Neurodegenerative Diseases (DZNE) Berlin, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität Berlin, and Berlin Institute of Health, Berlin, Germany
| | - David Nemazee
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Andrew B Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
- Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
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Raybould MIJ, Rees AR, Deane CM. Current strategies for detecting functional convergence across B-cell receptor repertoires. MAbs 2021; 13:1996732. [PMID: 34781829 PMCID: PMC8604390 DOI: 10.1080/19420862.2021.1996732] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/10/2021] [Accepted: 10/12/2021] [Indexed: 12/11/2022] Open
Abstract
Convergence across B-cell receptor (BCR) and antibody repertoires has become instrumental in prioritizing candidates in recent rapid therapeutic antibody discovery campaigns. It has also increased our understanding of the immune system, providing evidence for the preferential selection of BCRs to particular (immunodominant) epitopes post vaccination/infection. These important implications for both drug discovery and immunology mean that it is essential to consider the optimal way to combine experimental and computational technology when probing BCR repertoires for convergence signatures. Here, we discuss the theoretical basis for observing BCR repertoire functional convergence and explore factors of study design that can impact functional signal. We also review the computational arsenal available to detect antibodies with similar functional properties, highlighting opportunities enabled by recent clustering algorithms that exploit structural similarities between BCRs. Finally, we suggest future areas of development that should increase the power of BCR repertoire functional clustering.
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Affiliation(s)
- Matthew I. J. Raybould
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, UK
| | | | - Charlotte M. Deane
- Oxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, UK
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