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Addetia A, Stewart C, Seo AJ, Sprouse KR, Asiri AY, Al-Mozaini M, Memish ZA, Alshukairi AN, Veesler D. Mapping immunodominant sites on the MERS-CoV spike glycoprotein targeted by infection-elicited antibodies in humans. Cell Rep 2024; 43:114530. [PMID: 39058596 DOI: 10.1016/j.celrep.2024.114530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/31/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) first emerged in 2012 and causes human infections in endemic regions. Vaccines and therapeutics in development against MERS-CoV focus on the spike (S) glycoprotein to prevent viral entry into target cells. These efforts are limited by a poor understanding of antibody responses elicited by infection. Here, we analyze S-directed antibody responses in plasma collected from MERS-CoV-infected individuals. We observe that binding and neutralizing antibodies peak 1-6 weeks after symptom onset/hospitalization, persist for at least 6 months, and neutralize human and camel MERS-CoV strains. We show that the MERS-CoV S1 subunit is immunodominant and that antibodies targeting S1, particularly the receptor-binding domain (RBD), account for most plasma neutralizing activity. Antigenic site mapping reveals that plasma antibodies frequently target RBD epitopes, whereas targeting of S2 subunit epitopes is rare. Our data reveal the humoral immune responses elicited by MERS-CoV infection, which will guide vaccine and therapeutic design.
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Affiliation(s)
- Amin Addetia
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA, USA; Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Cameron Stewart
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Albert J Seo
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Kaitlin R Sprouse
- Department of Biochemistry, University of Washington, Seattle, WA, USA; Howard Hughes Medical Institute, Seattle, WA 98195, USA
| | - Ayed Y Asiri
- Al-Hayat National Hospital, Riyadh, Saudi Arabia
| | - Maha Al-Mozaini
- Department of Infection and Immunity, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ziad A Memish
- King Saud Medical City, Ministry of Health, Riyadh, Saudi Arabia; College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Kyung Hee University, Seoul, South Korea
| | - Abeer N Alshukairi
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; Department of Medicine, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia
| | - David Veesler
- Department of Biochemistry, University of Washington, Seattle, WA, USA; Howard Hughes Medical Institute, Seattle, WA 98195, USA.
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Addetia A, Stewart C, Seo AJ, Sprouse KR, Asiri AY, Al-Mozaini M, Memish ZA, Alshukairi A, Veesler D. Mapping immunodominant sites on the MERS-CoV spike glycoprotein targeted by infection-elicited antibodies in humans. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.31.586409. [PMID: 38617298 PMCID: PMC11014493 DOI: 10.1101/2024.03.31.586409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Middle-East respiratory syndrome coronavirus (MERS-CoV) first emerged in 2012 and causes human infections in endemic regions. Most vaccines and therapeutics in development against MERS-CoV focus on the spike (S) glycoprotein to prevent viral entry into target cells. These efforts, however, are limited by a poor understanding of antibody responses elicited by infection along with their durability, fine specificity and contribution of distinct S antigenic sites to neutralization. To address this knowledge gap, we analyzed S-directed binding and neutralizing antibody titers in plasma collected from individuals infected with MERS-CoV in 2017-2019 (prior to the COVID-19 pandemic). We observed that binding and neutralizing antibodies peak 1 to 6 weeks after symptom onset/hospitalization, persist for at least 6 months, and broadly neutralize human and camel MERS-CoV strains. We show that the MERS-CoV S1 subunit is immunodominant and that antibodies targeting S1, particularly the RBD, account for most plasma neutralizing activity. Antigenic site mapping revealed that polyclonal plasma antibodies frequently target RBD epitopes, particularly a site exposed irrespective of the S trimer conformation, whereas targeting of S2 subunit epitopes is rare, similar to SARS-CoV-2. Our data reveal in unprecedented details the humoral immune responses elicited by MERS-CoV infection, which will guide vaccine and therapeutic design.
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Affiliation(s)
- Amin Addetia
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
- Department of Biochemistry, University of Washington, Seattle, Washington, USA
| | - Cameron Stewart
- Department of Biochemistry, University of Washington, Seattle, Washington, USA
| | - Albert J Seo
- Department of Biochemistry, University of Washington, Seattle, Washington, USA
| | - Kaitlin R Sprouse
- Department of Biochemistry, University of Washington, Seattle, Washington, USA
- Howard Hughes Medical Institute, Seattle, WA 98195, USA
| | - Ayed Y Asiri
- Al-Hayat National Hospital, Riyadh, Saudi Arabia
| | - Maha Al-Mozaini
- Department of Infection and Immunity, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Ziad A Memish
- King Saud Medical City, Ministry of Health, Riyadh, Saudi Arabia
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Kyung Hee University, Seoul, South Korea
| | - Abeer Alshukairi
- College of Medicine, Alfaisal University, Riyadh, Saudi Arabia
- Department of Medicine, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia
| | - David Veesler
- Department of Biochemistry, University of Washington, Seattle, Washington, USA
- Howard Hughes Medical Institute, Seattle, WA 98195, USA
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3
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Magaret CA, Li L, deCamp AC, Rolland M, Juraska M, Williamson BD, Ludwig J, Molitor C, Benkeser D, Luedtke A, Simpkins B, Heng F, Sun Y, Carpp LN, Bai H, Dearlove BL, Giorgi EE, Jongeneelen M, Brandenburg B, McCallum M, Bowen JE, Veesler D, Sadoff J, Gray GE, Roels S, Vandebosch A, Stieh DJ, Le Gars M, Vingerhoets J, Grinsztejn B, Goepfert PA, de Sousa LP, Silva MST, Casapia M, Losso MH, Little SJ, Gaur A, Bekker LG, Garrett N, Truyers C, Van Dromme I, Swann E, Marovich MA, Follmann D, Neuzil KM, Corey L, Greninger AL, Roychoudhury P, Hyrien O, Gilbert PB. Quantifying how single dose Ad26.COV2.S vaccine efficacy depends on Spike sequence features. Nat Commun 2024; 15:2175. [PMID: 38467646 PMCID: PMC10928100 DOI: 10.1038/s41467-024-46536-w] [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: 05/16/2023] [Accepted: 02/29/2024] [Indexed: 03/13/2024] Open
Abstract
In the ENSEMBLE randomized, placebo-controlled phase 3 trial (NCT04505722), estimated single-dose Ad26.COV2.S vaccine efficacy (VE) was 56% against moderate to severe-critical COVID-19. SARS-CoV-2 Spike sequences were determined from 484 vaccine and 1,067 placebo recipients who acquired COVID-19. In this set of prespecified analyses, we show that in Latin America, VE was significantly lower against Lambda vs. Reference and against Lambda vs. non-Lambda [family-wise error rate (FWER) p < 0.05]. VE differed by residue match vs. mismatch to the vaccine-insert at 16 amino acid positions (4 FWER p < 0.05; 12 q-value ≤ 0.20); significantly decreased with physicochemical-weighted Hamming distance to the vaccine-strain sequence for Spike, receptor-binding domain, N-terminal domain, and S1 (FWER p < 0.001); differed (FWER ≤ 0.05) by distance to the vaccine strain measured by 9 antibody-epitope escape scores and 4 NTD neutralization-impacting features; and decreased (p = 0.011) with neutralization resistance level to vaccinee sera. VE against severe-critical COVID-19 was stable across most sequence features but lower against the most distant viruses.
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Affiliation(s)
- Craig A Magaret
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Li Li
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Allan C deCamp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Morgane Rolland
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Michal Juraska
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Brian D Williamson
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Biostatistics Division, Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - James Ludwig
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Cindy Molitor
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David Benkeser
- Departments of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Alex Luedtke
- Department of Statistics, University of Washington, Seattle, WA, USA
| | - Brian Simpkins
- Department of Computer Science, Pitzer College, Claremont, CA, USA
| | - Fei Heng
- University of North Florida, Jacksonville, FL, USA
| | - Yanqing Sun
- University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Lindsay N Carpp
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Hongjun Bai
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Bethany L Dearlove
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc, Bethesda, MD, USA
| | - Elena E Giorgi
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Mandy Jongeneelen
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Boerries Brandenburg
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Matthew McCallum
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - John E Bowen
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - David Veesler
- Department of Biochemistry, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Jerald Sadoff
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Glenda E Gray
- Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- South African Medical Research Council, Cape Town, South Africa
| | - Sanne Roels
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - An Vandebosch
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Daniel J Stieh
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Mathieu Le Gars
- Johnson & Johnson Innovative Medicine, Janssen Vaccines & Prevention B.V, Leiden, The Netherlands
| | - Johan Vingerhoets
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Beatriz Grinsztejn
- Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Paul A Goepfert
- Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Leonardo Paiva de Sousa
- Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Mayara Secco Torres Silva
- Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - Martin Casapia
- Facultad de Medicina Humana, Universidad Nacional de la Amazonia Peru, Iquitos, Peru
| | - Marcelo H Losso
- Hospital General de Agudos José María Ramos Mejia, Buenos Aires, Argentina
| | - Susan J Little
- Division of Infectious Diseases, University of California San Diego, La Jolla, CA, USA
| | - Aditya Gaur
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Linda-Gail Bekker
- The Desmond Tutu HIV Centre, University of Cape Town, Observatory, Cape Town, South Africa
| | - Nigel Garrett
- Centre for the AIDS Programme of Research in South Africa, University of KwaZulu-Natal, Durban, South Africa
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Carla Truyers
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Ilse Van Dromme
- Janssen R&D, a division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Edith Swann
- Vaccine Research Program, Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Mary A Marovich
- Vaccine Research Program, Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Dean Follmann
- Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Kathleen M Neuzil
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Lawrence Corey
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Alexander L Greninger
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Pavitra Roychoudhury
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Ollivier Hyrien
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Peter B Gilbert
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA.
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4
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Sun R, Qian MG, Zhang X. T and B cell epitope analysis for the immunogenicity evaluation and mitigation of antibody-based therapeutics. MAbs 2024; 16:2324836. [PMID: 38512798 PMCID: PMC10962608 DOI: 10.1080/19420862.2024.2324836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/26/2024] [Indexed: 03/23/2024] Open
Abstract
The surge in the clinical use of therapeutic antibodies has reshaped the landscape of pharmaceutical therapy for many diseases, including rare and challenging conditions. However, the administration of exogenous biologics could potentially trigger unwanted immune responses such as generation of anti-drug antibodies (ADAs). Real-world experiences have illuminated the clear correlation between the ADA occurrence and unsatisfactory therapeutic outcomes as well as immune-related adverse events. By retrospectively examining research involving immunogenicity analysis, we noticed the growing emphasis on elucidating the immunogenic epitope profiles of antibody-based therapeutics aiming for mechanistic understanding the immunogenicity generation and, ideally, mitigating the risks. As such, we have comprehensively summarized here the progress in both experimental and computational methodologies for the characterization of T and B cell epitopes of therapeutics. Furthermore, the successful practice of epitope-driven deimmunization of biotherapeutics is exceptionally highlighted in this article.
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Affiliation(s)
- Ruoxuan Sun
- Global Drug Metabolism, Pharmacokinetics & Modeling, Preclinical & Translational Sciences, Takeda Development Center Americas, Inc. (TDCA), Cambridge, MA, USA
| | - Mark G. Qian
- Global Drug Metabolism, Pharmacokinetics & Modeling, Preclinical & Translational Sciences, Takeda Development Center Americas, Inc. (TDCA), Cambridge, MA, USA
| | - Xiaobin Zhang
- Global Drug Metabolism, Pharmacokinetics & Modeling, Preclinical & Translational Sciences, Takeda Development Center Americas, Inc. (TDCA), Cambridge, MA, USA
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5
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Thadani NN, Gurev S, Notin P, Youssef N, Rollins NJ, Ritter D, Sander C, Gal Y, Marks DS. Learning from prepandemic data to forecast viral escape. Nature 2023; 622:818-825. [PMID: 37821700 PMCID: PMC10599991 DOI: 10.1038/s41586-023-06617-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/06/2023] [Indexed: 10/13/2023]
Abstract
Effective pandemic preparedness relies on anticipating viral mutations that are able to evade host immune responses to facilitate vaccine and therapeutic design. However, current strategies for viral evolution prediction are not available early in a pandemic-experimental approaches require host polyclonal antibodies to test against1-16, and existing computational methods draw heavily from current strain prevalence to make reliable predictions of variants of concern17-19. To address this, we developed EVEscape, a generalizable modular framework that combines fitness predictions from a deep learning model of historical sequences with biophysical and structural information. EVEscape quantifies the viral escape potential of mutations at scale and has the advantage of being applicable before surveillance sequencing, experimental scans or three-dimensional structures of antibody complexes are available. We demonstrate that EVEscape, trained on sequences available before 2020, is as accurate as high-throughput experimental scans at anticipating pandemic variation for SARS-CoV-2 and is generalizable to other viruses including influenza, HIV and understudied viruses with pandemic potential such as Lassa and Nipah. We provide continually revised escape scores for all current strains of SARS-CoV-2 and predict probable further mutations to forecast emerging strains as a tool for continuing vaccine development ( evescape.org ).
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Affiliation(s)
- Nicole N Thadani
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Sarah Gurev
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA
| | - Pascal Notin
- OATML Group, Department of Computer Science, University of Oxford, Oxford, UK
| | - Noor Youssef
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Nathan J Rollins
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Seismic Therapeutic, Watertown, MA, USA
| | - Daniel Ritter
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Chris Sander
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Yarin Gal
- OATML Group, Department of Computer Science, University of Oxford, Oxford, UK
| | - Debora S Marks
- Marks Group, Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
- Broad Institute of Harvard and MIT, Cambridge, MA, USA.
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6
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Jiang J, Boughter CT, Ahmad J, Natarajan K, Boyd LF, Meier-Schellersheim M, Margulies DH. SARS-CoV-2 antibodies recognize 23 distinct epitopic sites on the receptor binding domain. Commun Biol 2023; 6:953. [PMID: 37726484 PMCID: PMC10509263 DOI: 10.1038/s42003-023-05332-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 09/07/2023] [Indexed: 09/21/2023] Open
Abstract
The COVID-19 pandemic and SARS-CoV-2 variants have dramatically illustrated the need for a better understanding of antigen (epitope)-antibody (paratope) interactions. To gain insight into the immunogenic characteristics of epitopic sites (ES), we systematically investigated the structures of 340 Abs and 83 nanobodies (Nbs) complexed with the Receptor Binding Domain (RBD) of the SARS-CoV-2 spike protein. We identified 23 distinct ES on the RBD surface and determined the frequencies of amino acid usage in the corresponding CDR paratopes. We describe a clustering method for analysis of ES similarities that reveals binding motifs of the paratopes and that provides insights for vaccine design and therapies for SARS-CoV-2, as well as a broader understanding of the structural basis of Ab-protein antigen (Ag) interactions.
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Affiliation(s)
- Jiansheng Jiang
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA.
| | - Christopher T Boughter
- Computational Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Javeed Ahmad
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Kannan Natarajan
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Lisa F Boyd
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - Martin Meier-Schellersheim
- Computational Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA
| | - David H Margulies
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD, 20892, USA.
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7
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Quirk GE, Schoenle MV, Peyton KL, Uhrlaub JL, Lau B, Burgess JL, Ellingson K, Beitel S, Romine J, Lutrick K, Fowlkes A, Britton A, Tyner HL, Caban-Martinez AJ, Naleway A, Gaglani M, Yoon S, Edwards L, Olsho L, Dake M, LaFleur BJ, Nikolich JŽ, Sprissler R, Worobey M, Bhattacharya D. Determinants of de novo B cell responses to drifted epitopes in post-vaccination SARS-CoV-2 infections. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.12.23295384. [PMID: 37745498 PMCID: PMC10516057 DOI: 10.1101/2023.09.12.23295384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Vaccine-induced immunity may impact subsequent de novo responses to drifted epitopes in SARS-CoV-2 variants, but this has been difficult to quantify due to the challenges in recruiting unvaccinated control groups whose first exposure to SARS-CoV-2 is a primary infection. Through local, statewide, and national SARS-CoV-2 testing programs, we were able to recruit cohorts of individuals who had recovered from either primary or post-vaccination infections by either the Delta or Omicron BA.1 variants. Regardless of variant, we observed greater Spike-specific and neutralizing antibody responses in post-vaccination infections than in those who were infected without prior vaccination. Through analysis of variant-specific memory B cells as markers of de novo responses, we observed that Delta and Omicron BA.1 infections led to a marked shift in immunodominance in which some drifted epitopes elicited minimal responses, even in primary infections. Prior immunity through vaccination had a small negative impact on these de novo responses, but this did not correlate with cross-reactive memory B cells, arguing against competitive inhibition of naïve B cells. We conclude that dampened de novo B cell responses against drifted epitopes are mostly a function of altered immunodominance hierarchies that are apparent even in primary infections, with a more modest contribution from pre-existing immunity, perhaps due to accelerated antigen clearance.
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Affiliation(s)
- Grace E Quirk
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Marta V Schoenle
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Kameron L Peyton
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Jennifer L Uhrlaub
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Branden Lau
- University of Arizona Genomics Core and the Arizona Research Labs, University of Arizona Genetics Core, University of Arizona, Tucson, AZ, USA
| | - Jefferey L Burgess
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Katherine Ellingson
- Department of Epidemiology and Biostatistics, Zuckerman College of Public Health, University of Arizona, Tucson
| | - Shawn Beitel
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - James Romine
- Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Karen Lutrick
- College of Medicine-Tucson, University of Arizona, Tucson, Arizona, USA
| | - Ashley Fowlkes
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA
| | - Amadea Britton
- National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA
| | - Harmony L Tyner
- St. Luke's Regional Health Care System, Duluth, Minnesota, USA
| | | | - Allison Naleway
- Kaiser Permanente Northwest Center for Health Research, Portland, Oregon, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health and Texas A&M University College of Medicine, Temple, Texas, USA
| | - Sarang Yoon
- Rocky Mountain Center for Occupational and Environmental Health, Department of Family and Preventive Medicine, University of Utah Health, Salt Lake City, Utah, USA
| | | | | | - Michael Dake
- Office of the Senior Vice-President for Health Sciences, University of Arizona, Tucson, AZ, USA
| | | | - Janko Ž Nikolich
- BIO5 Institute, University of Arizona, Tucson, AZ, USA
- University of Arizona Center on Aging, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Ryan Sprissler
- University of Arizona Genomics Core and the Arizona Research Labs, University of Arizona Genetics Core, University of Arizona, Tucson, AZ, USA
| | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
- BIO5 Institute, University of Arizona, Tucson, AZ, USA
| | - Deepta Bhattacharya
- Department of Immunobiology, University of Arizona College of Medicine, Tucson, AZ, USA
- BIO5 Institute, University of Arizona, Tucson, AZ, USA
- Department of Surgery, University of Arizona College of Medicine, Tucson, AZ, USA
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8
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Muik A, Lui BG, Quandt J, Diao H, Fu Y, Bacher M, Gordon J, Toker A, Grosser J, Ozhelvaci O, Grikscheit K, Hoehl S, Kohmer N, Lustig Y, Regev-Yochay G, Ciesek S, Beguir K, Poran A, Vogler I, Türeci Ö, Sahin U. Progressive loss of conserved spike protein neutralizing antibody sites in Omicron sublineages is balanced by preserved T cell immunity. Cell Rep 2023; 42:112888. [PMID: 37527039 DOI: 10.1016/j.celrep.2023.112888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 03/27/2023] [Accepted: 07/13/2023] [Indexed: 08/03/2023] Open
Abstract
Evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant has led to the emergence of sublineages with different patterns of neutralizing antibody evasion. We report that Omicron BA.4/BA.5 breakthrough infection of individuals immunized with SARS-CoV-2 wild-type-strain-based mRNA vaccines results in a boost of Omicron BA.4.6, BF.7, BQ.1.1, and BA.2.75 neutralization but does not efficiently boost BA.2.75.2, XBB, or XBB.1.5 neutralization. In silico analyses showed that the Omicron spike glycoprotein lost most neutralizing B cell epitopes, especially in sublineages BA.2.75.2, XBB, and XBB.1.5. In contrast, T cell epitopes are conserved across variants including XBB.1.5. T cell responses of mRNA-vaccinated, SARS-CoV-2-naive individuals against the wild-type strain, Omicron BA.1, and BA.4/BA.5 were comparable, suggesting that T cell immunity against recent sublineages including XBB.1.5 may remain largely unaffected. While some Omicron sublineages effectively evade B cell immunity, spike-protein-specific T cell immunity, due to the nature of polymorphic cell-mediated immune responses, may continue to contribute to prevention/limitation of severe COVID-19 manifestation.
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Affiliation(s)
| | | | | | - Huitian Diao
- BioNTech US, 40 Erie Street, Cambridge, MA 02139, USA
| | - Yunguan Fu
- InstaDeep, Ltd., 5 Merchant Square, London W2 1AY, UK
| | - Maren Bacher
- BioNTech, An der Goldgrube 12, 55131 Mainz, Germany
| | | | - Aras Toker
- BioNTech, An der Goldgrube 12, 55131 Mainz, Germany
| | | | | | - Katharina Grikscheit
- Institute for Medical Virology, University Hospital, Goethe University Frankfurt, 60596 Frankfurt am Main, Germany
| | - Sebastian Hoehl
- Institute for Medical Virology, University Hospital, Goethe University Frankfurt, 60596 Frankfurt am Main, Germany
| | - Niko Kohmer
- Institute for Medical Virology, University Hospital, Goethe University Frankfurt, 60596 Frankfurt am Main, Germany
| | - Yaniv Lustig
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel; Central Virology Laboratory, Public Health Services, Ministry of Health, Tel-Hashomer, Ramat Gan, Israel
| | - Gili Regev-Yochay
- Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel; SPRI-Sheba Pandemic Preparedness Research Institute, Sheba Medical Center Tel Hashomer, Ramat Gan, Israel
| | - Sandra Ciesek
- Institute for Medical Virology, University Hospital, Goethe University Frankfurt, 60596 Frankfurt am Main, Germany; DZIF - German Centre for Infection Research, External Partner Site, 60596 Frankfurt am Main, Germany
| | - Karim Beguir
- InstaDeep, Ltd., 5 Merchant Square, London W2 1AY, UK
| | - Asaf Poran
- BioNTech US, 40 Erie Street, Cambridge, MA 02139, USA
| | | | - Özlem Türeci
- BioNTech, An der Goldgrube 12, 55131 Mainz, Germany; HI-TRON - Helmholtz Institute for Translational Oncology Mainz by DKFZ, Obere Zahlbacherstr. 63, 55131 Mainz, Germany
| | - Ugur Sahin
- BioNTech, An der Goldgrube 12, 55131 Mainz, Germany; TRON gGmbH - Translational Oncology at the University Medical Center of the Johannes Gutenberg University, Freiligrathstraße 12, 55131 Mainz, Germany.
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9
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Wagh K, Shen X, Theiler J, Girard B, Marshall JC, Montefiori DC, Korber B. Mutational basis of serum cross-neutralization profiles elicited by infection or vaccination with SARS-CoV-2 variants. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.13.553144. [PMID: 37645950 PMCID: PMC10461964 DOI: 10.1101/2023.08.13.553144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
A series of SARS-CoV-2 variants emerged during the pandemic under selection for neutralization resistance. Convalescent and vaccinated sera show consistently different cross-neutralization profiles depending on infecting or vaccine variants. To understand the basis of this heterogeneity, we modeled serum cross-neutralization titers for 165 sera after infection or vaccination with historically prominent lineages tested against 18 variant pseudoviruses. Cross-neutralization profiles were well captured by models incorporating autologous neutralizing titers and combinations of specific shared and differing mutations between the infecting/vaccine variants and pseudoviruses. Infecting/vaccine variant-specific models identified mutations that significantly impacted cross-neutralization and quantified their relative contributions. Unified models that explained cross-neutralization profiles across all infecting and vaccine variants provided accurate predictions of holdout neutralization data comprising untested variants as infecting or vaccine variants, and as test pseudoviruses. Finally, comparative modeling of 2-dose versus 3-dose mRNA-1273 vaccine data revealed that the third dose overcame key resistance mutations to improve neutralization breadth. HIGHLIGHTS Modeled SARS-CoV-2 cross-neutralization using mutations at key sitesIdentified resistance mutations and quantified relative impactAccurately predicted holdout variant and convalescent/vaccine sera neutralizationShowed that the third dose of mRNA-1273 vaccination overcomes resistance mutations.
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10
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Magaret C, Li L, deCamp A, Rolland M, Juraska M, Williamson B, Ludwig J, Molitor C, Benkeser D, Luedtke A, Simpkins B, Carpp L, Bai H, Deariove B, Greninger A, Roychoudhury P, Sadoff J, Gray G, Roels S, Vandebosch A, Stieh D, Le Gars M, Vingerhoets J, Grinsztejn B, Goepfert P, Truyers C, Van Dromme I, Swann E, Marovich M, Follmann D, Neuzil K, Corey L, Hyrien O, Paiva de Sousa L, Casapia M, Losso M, Little S, Gaur A, Bekker LG, Garrett N, Heng F, Sun Y, Gilbert P. Quantifying how single dose Ad26.COV2.S vaccine efficacy depends on Spike sequence features. RESEARCH SQUARE 2023:rs.3.rs-2743022. [PMID: 37398105 PMCID: PMC10312950 DOI: 10.21203/rs.3.rs-2743022/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
It is of interest to pinpoint SARS-CoV-2 sequence features defining vaccine resistance. In the ENSEMBLE randomized, placebo-controlled phase 3 trial, estimated single-dose Ad26.COV2.S vaccine efficacy (VE) was 56% against moderate to severe-critical COVID-19. SARS-CoV-2 Spike sequences were measured from 484 vaccine and 1,067 placebo recipients who acquired COVID-19 during the trial. In Latin America, where Spike diversity was greatest, VE was significantly lower against Lambda than against Reference and against all non-Lambda variants [family-wise error rate (FWER) p < 0.05]. VE also differed by residue match vs. mismatch to the vaccine-strain residue at 16 amino acid positions (4 FWER p < 0.05; 12 q-value ≤ 0.20). VE significantly decreased with physicochemical-weighted Hamming distance to the vaccine-strain sequence for Spike, receptor-binding domain, N-terminal domain, and S1 (FWER p < 0.001); differed (FWER ≤ 0.05) by distance to the vaccine strain measured by 9 different antibody-epitope escape scores and by 4 NTD neutralization-impacting features; and decreased (p = 0.011) with neutralization resistance level to vaccine recipient sera. VE against severe-critical COVID-19 was stable across most sequence features but lower against viruses with greatest distances. These results help map antigenic specificity of in vivo vaccine protection.
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Affiliation(s)
| | - Li Li
- Fred Hutchinson Cancer Center
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Beatriz Grinsztejn
- Evandro Chagas National Institute of Infectious Diseases-Fundacao Oswaldo Cruz
| | - Paul Goepfert
- Department of Medicine, Division of Infectious Diseases, University of Alabama at Birmingham
| | | | | | | | - Mary Marovich
- National Institute of Allergy and Infectious Diseases
| | | | | | | | | | | | | | | | - Susan Little
- Department of Medicine, University of California, San Diego, CA 92903
| | | | | | - Nigel Garrett
- Centre for the AIDS Program of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa 4041
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11
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Jiang J, Boughter CT, Ahmad J, Natarajan K, Boyd LF, Meier-Schellersheim M, Margulies DH. SARS-CoV-2 antibodies recognize 23 distinct epitopic sites on the receptor binding domain. RESEARCH SQUARE 2023:rs.3.rs-2800118. [PMID: 37333174 PMCID: PMC10275037 DOI: 10.21203/rs.3.rs-2800118/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
The COVID-19 pandemic and SARS-CoV-2 variants have dramatically illustrated the need for a better understanding of antigen (epitope)-antibody (paratope) interactions. To gain insight into the immunogenic characteristics of epitopic sites (ES), we systematically investigated the structures of 340 Abs and 83 nanobodies (Nbs) complexed with the Receptor Binding Domain (RBD) of the SARS-CoV-2 spike protein. We identified 23 distinct ES on the RBD surface and determined the frequencies of amino acid usage in the corresponding CDR paratopes. We describe a clustering method for analysis of ES similarities that reveals binding motifs of the paratopes and that provides insights for vaccine design and therapies for SARS-CoV-2, as well as a broader understanding of the structural basis of Ab-protein antigen (Ag) interactions.
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Affiliation(s)
- Jiansheng Jiang
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 10892, USA
| | - Christopher T. Boughter
- Computational Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 10892, USA
| | - Javeed Ahmad
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 10892, USA
| | - Kannan Natarajan
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 10892, USA
| | - Lisa F. Boyd
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 10892, USA
| | - Martin Meier-Schellersheim
- Computational Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 10892, USA
| | - David H. Margulies
- Molecular Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD 10892, USA
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12
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Moulana A, Dupic T, Phillips AM, Chang J, Roffler AA, Greaney AJ, Starr TN, Bloom JD, Desai MM. The landscape of antibody binding affinity in SARS-CoV-2 Omicron BA.1 evolution. eLife 2023; 12:e83442. [PMID: 36803543 PMCID: PMC9949795 DOI: 10.7554/elife.83442] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 02/06/2023] [Indexed: 02/16/2023] Open
Abstract
The Omicron BA.1 variant of SARS-CoV-2 escapes convalescent sera and monoclonal antibodies that are effective against earlier strains of the virus. This immune evasion is largely a consequence of mutations in the BA.1 receptor binding domain (RBD), the major antigenic target of SARS-CoV-2. Previous studies have identified several key RBD mutations leading to escape from most antibodies. However, little is known about how these escape mutations interact with each other and with other mutations in the RBD. Here, we systematically map these interactions by measuring the binding affinity of all possible combinations of these 15 RBD mutations (215=32,768 genotypes) to 4 monoclonal antibodies (LY-CoV016, LY-CoV555, REGN10987, and S309) with distinct epitopes. We find that BA.1 can lose affinity to diverse antibodies by acquiring a few large-effect mutations and can reduce affinity to others through several small-effect mutations. However, our results also reveal alternative pathways to antibody escape that does not include every large-effect mutation. Moreover, epistatic interactions are shown to constrain affinity decline in S309 but only modestly shape the affinity landscapes of other antibodies. Together with previous work on the ACE2 affinity landscape, our results suggest that the escape of each antibody is mediated by distinct groups of mutations, whose deleterious effects on ACE2 affinity are compensated by another distinct group of mutations (most notably Q498R and N501Y).
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Affiliation(s)
- Alief Moulana
- Department of Organismic and Evolutionary Biology, Harvard UniversityCambridgeUnited States
| | - Thomas Dupic
- Department of Organismic and Evolutionary Biology, Harvard UniversityCambridgeUnited States
| | - Angela M Phillips
- Department of Organismic and Evolutionary Biology, Harvard UniversityCambridgeUnited States
| | - Jeffrey Chang
- Department of Organismic and Evolutionary Biology, Harvard UniversityCambridgeUnited States
- Department of Physics, Harvard UniversityCambridgeUnited States
| | - Anne A Roffler
- Biological and Biomedical Sciences, Harvard Medical SchoolBostonUnited States
| | - Allison J Greaney
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research CenterSeattleUnited States
- Department of Genome Sciences, University of WashingtonSeattleUnited States
- Medical Scientist Training Program, University of WashingtonSeattleUnited States
| | - Tyler N Starr
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Jesse D Bloom
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research CenterSeattleUnited States
- Department of Genome Sciences, University of WashingtonSeattleUnited States
- Howard Hughes Medical InstituteSeattleUnited States
| | - Michael M Desai
- Department of Organismic and Evolutionary Biology, Harvard UniversityCambridgeUnited States
- Department of Physics, Harvard UniversityCambridgeUnited States
- NSF-Simons Center for Mathematical and Statistical Analysis of Biology, Harvard UniversityCambridgeUnited States
- Quantitative Biology Initiative, Harvard UniversityCambridgeUnited States
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