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Rossouw C, Ryan FJ, Lynn DJ. The role of the gut microbiota in regulating responses to vaccination: current knowledge and future directions. FEBS J 2024. [PMID: 39102299 DOI: 10.1111/febs.17241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/13/2024] [Accepted: 07/24/2024] [Indexed: 08/07/2024]
Abstract
Antigen-specific B and T cell responses play a critical role in vaccine-mediated protection against infectious diseases, but these responses are highly variable between individuals and vaccine immunogenicity is frequently sub-optimal in infants, the elderly and in people living in low- and middle-income countries. Although many factors such as nutrition, age, sex, genetics, environmental exposures, and infections may all contribute to variable vaccine immunogenicity, mounting evidence indicates that the gut microbiota is an important and targetable factor shaping optimal immune responses to vaccination. In this review, we discuss evidence from human, preclinical and experimental studies supporting a role for a healthy gut microbiota in mediating optimal vaccine immunogenicity, including the immunogenicity of COVID-19 vaccines. Furthermore, we provide an overview of the potential mechanisms through which this could occur and discuss strategies that could be used to target the microbiota to boost vaccine immunogenicity where it is currently sub-optimal.
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Affiliation(s)
- Charné Rossouw
- Precision Medicine, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, Australia
| | - Feargal J Ryan
- Precision Medicine, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, Australia
| | - David J Lynn
- Precision Medicine, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, Australia
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2
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Lechuga GC, Temerozo JR, Napoleão-Pêgo P, Carvalho JPRS, Gomes LR, Bou-Habib DC, Morel CM, Provance DW, Souza TML, De-Simone SG. Enhanced Assessment of Cross-Reactive Antigenic Determinants within the Spike Protein. Int J Mol Sci 2024; 25:8180. [PMID: 39125749 DOI: 10.3390/ijms25158180] [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: 06/05/2024] [Revised: 07/08/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
Despite successful vaccination efforts, the emergence of new SARS-CoV-2 variants poses ongoing challenges to control COVID-19. Understanding humoral responses regarding SARS-CoV-2 infections and their impact is crucial for developing future vaccines that are effective worldwide. Here, we identified 41 immunodominant linear B-cell epitopes in its spike glycoprotein with an SPOT synthesis peptide array probed with a pool of serum from hospitalized COVID-19 patients. The bioinformatics showed a restricted set of epitopes unique to SARS-CoV-2 compared to other coronavirus family members. Potential crosstalk was also detected with Dengue virus (DENV), which was confirmed by screening individuals infected with DENV before the COVID-19 pandemic in a commercial ELISA for anti-SARS-CoV-2 antibodies. A high-resolution evaluation of antibody reactivity against peptides representing epitopes in the spike protein identified ten sequences in the NTD, RBD, and S2 domains. Functionally, antibody-dependent enhancement (ADE) in SARS-CoV-2 infections of monocytes was observed in vitro with pre-pandemic Dengue-positive sera. A significant increase in viral load was measured compared to that of the controls, with no detectable neutralization or considerable cell death, suggesting its role in viral entry. Cross-reactivity against peptides from spike proteins was observed for the pre-pandemic sera. This study highlights the importance of identifying specific epitopes generated during the humoral response to a pathogenic infection to understand the potential interplay of previous and future infections on diseases and their impact on vaccinations and immunodiagnostics.
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Affiliation(s)
- Guilherme C Lechuga
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
- Cellular Ultrastructure Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
| | - Jairo R Temerozo
- Laboratory on Thymus Research, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
- National Institute for Science and Technology on Neuroimmunomodulation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
| | - Paloma Napoleão-Pêgo
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
| | - João P R S Carvalho
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
- Graduate Program in Science and Biotechnology, Department of Molecular and Cellular Biology, Biology Institute, Fluminense Federal University, Niterói 24220-900, Brazil
| | - Larissa R Gomes
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
| | - Dumith Chequer Bou-Habib
- Laboratory on Thymus Research, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
- National Institute for Science and Technology on Neuroimmunomodulation, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
| | - Carlos M Morel
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
| | - David W Provance
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
| | - Thiago M L Souza
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
- Laboratory of Immunopharmacology, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
| | - Salvatore G De-Simone
- Center for Technological Development in Health (CDTS), National Institute of Science and Technology for Innovation in Neglected Population Diseases (INCT-IDPN), Oswald Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
- Graduate Program in Science and Biotechnology, Department of Molecular and Cellular Biology, Biology Institute, Fluminense Federal University, Niterói 24220-900, Brazil
- Epidemiology and Molecular Systematics Laboratory, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
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Paparoditis P, Shulman Z. The tumor-driven antibody-mediated immune response in cancer. Curr Opin Immunol 2024:102431. [PMID: 38866666 DOI: 10.1016/j.coi.2024.102431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 05/21/2024] [Accepted: 05/27/2024] [Indexed: 06/14/2024]
Abstract
Immune cells in the tumor microenvironment play a crucial role in cancer prognosis and response to immunotherapy. Recent studies highlight the significance of tumor-infiltrating B cells and tertiary lymphoid structures as markers of favorable prognosis and patient-positive response to immune checkpoint blockers in some types of cancer. Although the presence of germinal center B cells and plasma cells in the tumor microenvironment has been established, determining their tumor reactivity remains challenging. The few known tumor targets range from viral proteins to self and altered self-proteins. The emergence of self-reactive antibodies in patients with cancer, involves the opposing forces of antigen-driven affinity increase and peripheral tolerance mechanisms. Here, B cell tumor antigen specificity and affinity maturation in tumor-directed immune responses in cancer are discussed.
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Affiliation(s)
- Philipp Paparoditis
- Department of Systems Immunology, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Ziv Shulman
- Department of Systems Immunology, The Weizmann Institute of Science, Rehovot 7610001, Israel.
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4
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Coulon PG, Prakash S, Dhanushkodi NR, Srivastava R, Zayou L, Tifrea DF, Edwards RA, Figueroa CJ, Schubl SD, Hsieh L, Nesburn AB, Kuppermann BD, Bahraoui E, Vahed H, Gil D, Jones TM, Ulmer JB, BenMohamed L. High frequencies of alpha common cold coronavirus/SARS-CoV-2 cross-reactive functional CD4 + and CD8 + memory T cells are associated with protection from symptomatic and fatal SARS-CoV-2 infections in unvaccinated COVID-19 patients. Front Immunol 2024; 15:1343716. [PMID: 38605956 PMCID: PMC11007208 DOI: 10.3389/fimmu.2024.1343716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 03/08/2024] [Indexed: 04/13/2024] Open
Abstract
Background Cross-reactive SARS-CoV-2-specific memory CD4+ and CD8+ T cells are present in up to 50% of unexposed, pre-pandemic, healthy individuals (UPPHIs). However, the characteristics of cross-reactive memory CD4+ and CD8+ T cells associated with subsequent protection of asymptomatic coronavirus disease 2019 (COVID-19) patients (i.e., unvaccinated individuals who never develop any COVID-19 symptoms despite being infected with SARS-CoV-2) remains to be fully elucidated. Methods This study compares the antigen specificity, frequency, phenotype, and function of cross-reactive memory CD4+ and CD8+ T cells between common cold coronaviruses (CCCs) and SARS-CoV-2. T-cell responses against genome-wide conserved epitopes were studied early in the disease course in a cohort of 147 unvaccinated COVID-19 patients who were divided into six groups based on the severity of their symptoms. Results Compared to severely ill COVID-19 patients and patients with fatal COVID-19 outcomes, the asymptomatic COVID-19 patients displayed significantly: (i) higher rates of co-infection with the 229E alpha species of CCCs (α-CCC-229E); (ii) higher frequencies of cross-reactive functional CD134+CD137+CD4+ and CD134+CD137+CD8+ T cells that cross-recognized conserved epitopes from α-CCCs and SARS-CoV-2 structural, non-structural, and accessory proteins; and (iii) lower frequencies of CCCs/SARS-CoV-2 cross-reactive exhausted PD-1+TIM3+TIGIT+CTLA4+CD4+ and PD-1+TIM3+TIGIT+CTLA4+CD8+ T cells, detected both ex vivo and in vitro. Conclusions These findings (i) support a crucial role of functional, poly-antigenic α-CCCs/SARS-CoV-2 cross-reactive memory CD4+ and CD8+ T cells, induced following previous CCCs seasonal exposures, in protection against subsequent severe COVID-19 disease and (ii) provide critical insights into developing broadly protective, multi-antigen, CD4+, and CD8+ T-cell-based, universal pan-Coronavirus vaccines capable of conferring cross-species protection.
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Affiliation(s)
- Pierre-Gregoire Coulon
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
| | - Swayam Prakash
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
| | - Nisha R. Dhanushkodi
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
| | - Ruchi Srivastava
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
| | - Latifa Zayou
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
| | - Delia F. Tifrea
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Irvine, Irvine, CA, United States
| | - Robert A. Edwards
- Department of Pathology and Laboratory Medicine, School of Medicine, University of California Irvine, Irvine, CA, United States
| | - Cesar J. Figueroa
- Department of Surgery, Divisions of Trauma, Burns and Critical Care, School of Medicine, University of California Irvine, Irvine, CA, United States
| | - Sebastian D. Schubl
- Department of Surgery, Divisions of Trauma, Burns and Critical Care, School of Medicine, University of California Irvine, Irvine, CA, United States
| | - Lanny Hsieh
- Department of Medicine, Division of Infectious Diseases and Hospitalist Program, School of Medicine, University of California Irvine, Irvine, CA, United States
| | - Anthony B. Nesburn
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
| | - Baruch D. Kuppermann
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
| | | | - Hawa Vahed
- Department of Vaccines and Immunotherapies, TechImmune, LLC, University Lab Partners, Irvine, CA, United States
| | - Daniel Gil
- Department of Vaccines and Immunotherapies, TechImmune, LLC, University Lab Partners, Irvine, CA, United States
| | - Trevor M. Jones
- Department of Vaccines and Immunotherapies, TechImmune, LLC, University Lab Partners, Irvine, CA, United States
| | - Jeffrey B. Ulmer
- Department of Vaccines and Immunotherapies, TechImmune, LLC, University Lab Partners, Irvine, CA, United States
| | - Lbachir BenMohamed
- Laboratory of Cellular and Molecular Immunology, Gavin Herbert Eye Institute, University of California Irvine, School of Medicine, Irvine, CA, United States
- Université Paul Sabatier, Infinity, Inserm, Toulouse, France
- Department of Vaccines and Immunotherapies, TechImmune, LLC, University Lab Partners, Irvine, CA, United States
- Institute for Immunology, The University of California Irvine, School of Medicine, Irvine, CA, United States
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5
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Collins CP, Longo DL, Murphy WJ. The immunobiology of SARS-CoV-2 infection and vaccine responses: potential influences of cross-reactive memory responses and aging on efficacy and off-target effects. Front Immunol 2024; 15:1345499. [PMID: 38469293 PMCID: PMC10925677 DOI: 10.3389/fimmu.2024.1345499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/12/2024] [Indexed: 03/13/2024] Open
Abstract
Immune responses to both SARS-CoV-2 infection and its associated vaccines have been highly variable within the general population. The increasing evidence of long-lasting symptoms after resolution of infection, called post-acute sequelae of COVID-19 (PASC) or "Long COVID," suggests that immune-mediated mechanisms are at play. Closely related endemic common human coronaviruses (hCoV) can induce pre-existing and potentially cross-reactive immunity, which can then affect primary SARS-CoV-2 infection, as well as vaccination responses. The influence of pre-existing immunity from these hCoVs, as well as responses generated from original CoV2 strains or vaccines on the development of new high-affinity responses to CoV2 antigenic viral variants, needs to be better understood given the need for continuous vaccine adaptation and application in the population. Due in part to thymic involution, normal aging is associated with reduced naïve T cell compartments and impaired primary antigen responsiveness, resulting in a reliance on the pre-existing cross-reactive memory cell pool which may be of lower affinity, restricted in diversity, or of shorter duration. These effects can also be mediated by the presence of down-regulatory anti-idiotype responses which also increase in aging. Given the tremendous heterogeneity of clinical data, utilization of preclinical models offers the greatest ability to assess immune responses under a controlled setting. These models should now involve prior antigen/viral exposure combined with incorporation of modifying factors such as age on immune responses and effects. This will also allow for mechanistic dissection and understanding of the different immune pathways involved in both SARS-CoV-2 pathogen and potential vaccine responses over time and how pre-existing memory responses, including potential anti-idiotype responses, can affect efficacy as well as potential off-target effects in different tissues as well as modeling PASC.
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Affiliation(s)
- Craig P. Collins
- Graduate Program in Immunology, University of California (UC) Davis, Davis, CA, United States
| | - Dan L. Longo
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, United States
| | - William J. Murphy
- Departments of Dermatology and Internal Medicine (Hematology/Oncology), University of California (UC) Davis School of Medicine, Sacramento, CA, United States
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Filimonova I, Innocenti G, Vogl T. Phage Immunoprecipitation Sequencing (PhIP-Seq) for Analyzing Antibody Epitope Repertoires Against Food Antigens. Methods Mol Biol 2024; 2717:101-122. [PMID: 37737980 DOI: 10.1007/978-1-0716-3453-0_7] [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] [Indexed: 09/23/2023]
Abstract
While thousands of food and environmental allergens have been reported, conventional methods for allergy testing typically rely on measuring immunoglobulin E (IgE) binding against panels of dozens to hundreds of antigens. Beyond IgE, also the specificity of other Ig (sub-)classes such as IgG4, has gained interest because of a potential protective role toward allergy.Phage immunoprecipitation sequencing (PhIP-Seq) allows to study hundreds of thousands of rationally selected peptide antigens and to resolve binding specificities of different Ig classes. This technology combines synthetic DNA libraries encoding antigens, with the display on the surface of T7 bacteriophages and next-generation sequencing (NGS) for quantitative readouts. Thereby binding of entire Ig repertoires can be measured to detect the exact epitopes of food allergens and to study potential cross-reactivity.In this chapter, we provide a summary of both the key experimental steps and various strategies for analyzing PhIP-Seq datasets, as well as comparing the advantages and disadvantages of this methodology for measuring antibody responses against food antigens.
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Affiliation(s)
- Ioanna Filimonova
- Medical University of Vienna, Center for Cancer Research, Vienna, Austria
| | - Gabriel Innocenti
- Medical University of Vienna, Center for Cancer Research, Vienna, Austria
| | - Thomas Vogl
- Medical University of Vienna, Center for Cancer Research, Vienna, Austria.
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7
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Ruhs EC, Chia WN, Foo R, Peel AJ, Li Y, Larman HB, Irving AT, Wang L, Brook CE. Applications of VirScan to broad serological profiling of bat reservoirs for emerging zoonoses. Front Public Health 2023; 11:1212018. [PMID: 37808979 PMCID: PMC10559906 DOI: 10.3389/fpubh.2023.1212018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/04/2023] [Indexed: 10/10/2023] Open
Abstract
Introduction Bats are important providers of ecosystem services such as pollination, seed dispersal, and insect control but also act as natural reservoirs for virulent zoonotic viruses. Bats host multiple viruses that cause life-threatening pathology in other animals and humans but, themselves, experience limited pathological disease from infection. Despite bats' importance as reservoirs for several zoonotic viruses, we know little about the broader viral diversity that they host. Bat virus surveillance efforts are challenged by difficulties of field capture and the limited scope of targeted PCR- or ELISA-based molecular and serological detection. Additionally, virus shedding is often transient, thus also limiting insights gained from nucleic acid testing of field specimens. Phage ImmunoPrecipitation Sequencing (PhIP-Seq), a broad serological tool used previously to comprehensively profile viral exposure history in humans, offers an exciting prospect for viral surveillance efforts in wildlife, including bats. Methods Here, for the first time, we apply PhIP-Seq technology to bat serum, using a viral peptide library originally designed to simultaneously assay exposures to the entire human virome. Results Using VirScan, we identified past exposures to 57 viral genera-including betacoronaviruses, henipaviruses, lyssaviruses, and filoviruses-in semi-captive Pteropus alecto and to nine viral genera in captive Eonycteris spelaea. Consistent with results from humans, we find that both total peptide hits (the number of enriched viral peptides in our library) and the corresponding number of inferred past virus exposures in bat hosts were correlated with poor bat body condition scores and increased with age. High and low body condition scores were associated with either seropositive or seronegative status for different viruses, though in general, virus-specific age-seroprevalence curves defied assumptions of lifelong immunizing infection, suggesting that many bat viruses may circulate via complex transmission dynamics. Discussion Overall, our work emphasizes the utility of applying biomedical tools, like PhIP-Seq, first developed for humans to viral surveillance efforts in wildlife, while highlighting opportunities for taxon-specific improvements.
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Affiliation(s)
- Emily Cornelius Ruhs
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
- Grainger Bioinformatics Center, Field Museum of Natural History, Chicago, IL, United States
| | - Wan Ni Chia
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
- CoV Biotechnology Pte Ltd., Singapore, Singapore
| | - Randy Foo
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
| | - Alison J. Peel
- Centre for Planetary Health and Food Security, School of Environment and Science, Griffith University, Brisband, QLD, Australia
| | - Yimei Li
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
- Quantitative and Computational Biology, Princeton University, Princeton, NJ, United States
| | - H. Benjamin Larman
- HBL – Institute for Cell Engineering, Division of Immunology, Department of Pathology, Johns Hopkins University, Baltimore, MD, United States
| | - Aaron T. Irving
- Second Affiliated Hospital of Zhejiang University, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Zhejiang University-University of Edinburgh Institute, Haining, Zhejiang, China
- BIMET - Biomedical and Translational Research Centre of Zhejiang Province, Zhejiang Province, China
| | - Linfa Wang
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Global Health Institute, Singapore, Singapore
| | - Cara E. Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, United States
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N’Guessan A, Kailasam S, Mostefai F, Poujol R, Grenier JC, Ismailova N, Contini P, De Palma R, Haber C, Stadler V, Bourque G, Hussin JG, Shapiro BJ, Fritz JH, Piccirillo CA. Selection for immune evasion in SARS-CoV-2 revealed by high-resolution epitope mapping and sequence analysis. iScience 2023; 26:107394. [PMID: 37599818 PMCID: PMC10433132 DOI: 10.1016/j.isci.2023.107394] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 02/10/2023] [Accepted: 07/10/2023] [Indexed: 08/22/2023] Open
Abstract
Here, we exploit a deep serological profiling strategy coupled with an integrated, computational framework for the analysis of SARS-CoV-2 humoral immune responses. Applying a high-density peptide array (HDPA) spanning the entire proteomes of SARS-CoV-2 and endemic human coronaviruses allowed identification of B cell epitopes and relate them to their evolutionary and structural properties. We identify hotspots of pre-existing immunity and identify cross-reactive epitopes that contribute to increasing the overall humoral immune response to SARS-CoV-2. Using a public dataset of over 38,000 viral genomes from the early phase of the pandemic, capturing both inter- and within-host genetic viral diversity, we determined the evolutionary profile of epitopes and the differences across proteins, waves, and SARS-CoV-2 variants. Lastly, we show that mutations in spike and nucleocapsid epitopes are under stronger selection between than within patients, suggesting that most of the selective pressure for immune evasion occurs upon transmission between hosts.
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Affiliation(s)
- Arnaud N’Guessan
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill Genome Centre, McGill University, Montréal, QC, Canada
| | - Senthilkumar Kailasam
- Canadian Center for Computational Genomics, Montréal, QC, Canada
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Fatima Mostefai
- Research Centre, Montreal Heart Institute, Montreal, QC, Canada
- Département de Biochimie et Médecine Moléculaire, Université de Montréal, Montréal, QC, Canada
| | - Raphaël Poujol
- Research Centre, Montreal Heart Institute, Montreal, QC, Canada
| | | | - Nailya Ismailova
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill University Research Center on Complex Traits (MRCCT), McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Paola Contini
- Department of Internal Medicine, University of Genoa and IRCCS IST-Ospedale San Martino, Genoa, Italy
| | - Raffaele De Palma
- Department of Internal Medicine, University of Genoa and IRCCS IST-Ospedale San Martino, Genoa, Italy
| | | | | | - Guillaume Bourque
- Canadian Center for Computational Genomics, Montréal, QC, Canada
- Department of Human Genetics, McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Julie G. Hussin
- Research Centre, Montreal Heart Institute, Montreal, QC, Canada
- Département de Médecine, Université de Montréal, Montréal, QC, Canada
| | - B. Jesse Shapiro
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill Genome Centre, McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Jörg H. Fritz
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill University Research Center on Complex Traits (MRCCT), McGill University, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
| | - Ciriaco A. Piccirillo
- Department of Microbiology and Immunology, McGill University, Montréal, QC, Canada
- McGill University Research Center on Complex Traits (MRCCT), McGill University, Montréal, QC, Canada
- Infectious Diseases and Immunity in Global Health Program of the Research Institute of McGill Health Center, Montréal, QC, Canada
- Dahdaleh Institute of Genomic Medicine (DIgM), McGill University, Montréal, QC, Canada
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Devaux CA, Fantini J. Unravelling Antigenic Cross-Reactions toward the World of Coronaviruses: Extent of the Stability of Shared Epitopes and SARS-CoV-2 Anti-Spike Cross-Neutralizing Antibodies. Pathogens 2023; 12:713. [PMID: 37242383 PMCID: PMC10220573 DOI: 10.3390/pathogens12050713] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/10/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
The human immune repertoire retains the molecular memory of a very great diversity of target antigens (epitopes) and can recall this upon a second encounter with epitopes against which it has previously been primed. Although genetically diverse, proteins of coronaviruses exhibit sufficient conservation to lead to antigenic cross-reactions. In this review, our goal is to question whether pre-existing immunity against seasonal human coronaviruses (HCoVs) or exposure to animal CoVs has influenced the susceptibility of human populations to SARS-CoV-2 and/or had an impact upon the physiopathological outcome of COVID-19. With the hindsight that we now have regarding COVID-19, we conclude that although antigenic cross-reactions between different coronaviruses exist, cross-reactive antibody levels (titers) do not necessarily reflect on memory B cell frequencies and are not always directed against epitopes which confer cross-protection against SARS-CoV-2. Moreover, the immunological memory of these infections is short-term and occurs in only a small percentage of the population. Thus, in contrast to what might be observed in terms of cross-protection at the level of a single individual recently exposed to circulating coronaviruses, a pre-existing immunity against HCoVs or other CoVs can only have a very minor impact on SARS-CoV-2 circulation at the level of human populations.
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Affiliation(s)
- Christian A. Devaux
- Laboratory Microbes Evolution Phylogeny and Infection (MEPHI), Aix-Marseille Université, IRD, APHM Institut Hospitalo-Universitaire—Méditerranée Infection, 13005 Marseille, France
- Centre National de la Recherche Scientifique (CNRS-SNC5039), 13009 Marseille, France
| | - Jacques Fantini
- Aix-Marseille Université, INSERM UMR_S 1072, 13015 Marseille, France
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10
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Adams LE, Leist SR, Dinnon KH, West A, Gully KL, Anderson EJ, Loome JF, Madden EA, Powers JM, Schäfer A, Sarkar S, Castillo IN, Maron JS, McNamara RP, Bertera HL, Zweigert MR, Higgins JS, Hampton BK, Premkumar L, Alter G, Montgomery SA, Baxter VK, Heise MT, Baric RS. Fc-mediated pan-sarbecovirus protection after alphavirus vector vaccination. Cell Rep 2023; 42:112326. [PMID: 37000623 PMCID: PMC10063157 DOI: 10.1016/j.celrep.2023.112326] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/21/2022] [Accepted: 03/17/2023] [Indexed: 04/01/2023] Open
Abstract
Group 2B β-coronaviruses (sarbecoviruses) have caused regional and global epidemics in modern history. Here, we evaluate the mechanisms of cross-sarbecovirus protective immunity, currently less clear yet important for pan-sarbecovirus vaccine development, using a panel of alphavirus-vectored vaccines covering bat to human strains. While vaccination does not prevent virus replication, it protects against lethal heterologous disease outcomes in both severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and clade 2 bat sarbecovirus challenge models. The spike vaccines tested primarily elicit a highly S1-specific homologous neutralizing antibody response with no detectable cross-virus neutralization. Rather, non-neutralizing antibody functions, mechanistically linked to FcgR4 and spike S2, mediate cross-protection in wild-type mice. Protection is lost in FcR knockout mice, further supporting a model for non-neutralizing, protective antibodies. These data highlight the importance of FcR-mediated cross-protective immune responses in universal pan-sarbecovirus vaccine designs.
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Affiliation(s)
- Lily E Adams
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah R Leist
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kenneth H Dinnon
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ande West
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Kendra L Gully
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Comparative Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elizabeth J Anderson
- Division of Comparative Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer F Loome
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Emily A Madden
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - John M Powers
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexandra Schäfer
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sanjay Sarkar
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Izabella N Castillo
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jenny S Maron
- Ragon Institute of MGH, MIT, and Harvard University, Cambridge, MA, USA
| | - Ryan P McNamara
- Ragon Institute of MGH, MIT, and Harvard University, Cambridge, MA, USA
| | - Harry L Bertera
- Ragon Institute of MGH, MIT, and Harvard University, Cambridge, MA, USA
| | - Mark R Zweigert
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jaclyn S Higgins
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brea K Hampton
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lakshmanane Premkumar
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard University, Cambridge, MA, USA
| | - Stephanie A Montgomery
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Dallas Tissue Research, Dallas, TX, USA
| | - Victoria K Baxter
- Division of Comparative Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Mark T Heise
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Rapidly Emerging Antiviral Drug Discovery Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Ralph S Baric
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Rapidly Emerging Antiviral Drug Discovery Initiative, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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11
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Nantambi H, Sembera J, Ankunda V, Ssali I, Kalyebi AW, Oluka GK, Kato L, Ubaldo B, Kibengo F, Katende JS, Gombe B, Baine C, Odoch G, Mugaba S, Sande OJ, Kaleebu P, Serwanga J. Pre-pandemic SARS-CoV-2-specific IFN-γ and antibody responses were low in Ugandan samples and significantly reduced in HIV-positive specimens. Front Immunol 2023; 14:1148877. [PMID: 37153598 PMCID: PMC10154590 DOI: 10.3389/fimmu.2023.1148877] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/04/2023] [Indexed: 05/09/2023] Open
Abstract
Introduction We investigated whether prior SARS-CoV-2-specific IFN-γ and antibody responses in Ugandan COVID-19 pre-pandemic specimens aligned to this population's low disease severity. Methods We used nucleoprotein (N), spike (S), NTD, RBD, envelope, membrane, SD1/2-directed IFN-γ ELISpots, and an S- and N-IgG antibody ELISA to screen for SARS-CoV-2-specific cross-reactivity. Results HCoV-OC43-, HCoV-229E-, and SARS-CoV-2-specific IFN-γ occurred in 23, 15, and 17 of 104 specimens, respectively. Cross-reactive IgG was more common against the nucleoprotein (7/110, 15.5%; p = 0.0016, Fishers' Exact) than the spike (3/110, 2.72%). Specimens lacking anti-HuCoV antibodies had higher rates of pre-epidemic SARS-CoV-2-specific IFN-γ cross-reactivity (p-value = 0.00001, Fishers' exact test), suggesting that exposure to additional factors not examined here might play a role. SARS-CoV-2-specific cross-reactive antibodies were significantly less common in HIV-positive specimens (p=0.017; Fishers' Exact test). Correlations between SARS-CoV-2- and HuCoV-specific IFN-γ responses were consistently weak in both HIV negative and positive specimens. Discussion These findings support the existence of pre-epidemic SARS-CoV-2-specific cellular and humoral cross-reactivity in this population. The data do not establish that these virus-specific IFN-γ and antibody responses are entirely specific to SARS-CoV-2. Inability of the antibodies to neutralise SARS-CoV-2 implies that prior exposure did not result in immunity. Correlations between SARS-CoV-2 and HuCoV-specific responses were consistently weak, suggesting that additional variables likely contributed to the pre-epidemic cross-reactivity patterns. The data suggests that surveillance efforts based on the nucleoprotein might overestimate the exposure to SARS-CoV-2 compared to inclusion of additional targets, like the spike protein. This study, while limited in scope, suggests that HIV-positive people are less likely than HIV-negative people to produce protective antibodies against SARS-CoV-2.
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Affiliation(s)
- Hellen Nantambi
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
- Department of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Jackson Sembera
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
| | - Violet Ankunda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
| | - Ivan Ssali
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
| | - Arthur Watelo Kalyebi
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
- Department of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Gerald Kevin Oluka
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
| | - Laban Kato
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
| | - Bahemuka Ubaldo
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
| | - Freddie Kibengo
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
| | - Joseph Ssebwana Katende
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
| | - Ben Gombe
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
| | - Claire Baine
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
| | - Geoffrey Odoch
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
| | - Susan Mugaba
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
| | - Obondo James Sande
- Department of Immunology and Molecular Biology, College of Health Sciences, Makerere University, Kampala, Uganda
| | - The COVID-19 Immunoprofiling Team
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
| | - Pontiano Kaleebu
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
| | - Jennifer Serwanga
- Medical Research Council (MRC), Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Uganda Research Unit, Entebbe, Uganda
- Department of Immunology, Uganda Virus Research Institute, Entebbe, Uganda
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12
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Baker D, Forte E, Pryce G, Kang AS, James LK, Giovannoni G, Schmierer K. The impact of sphingosine-1-phosphate receptor modulators on COVID-19 and SARS-CoV-2 vaccination. Mult Scler Relat Disord 2023; 69:104425. [PMID: 36470168 PMCID: PMC9678390 DOI: 10.1016/j.msard.2022.104425] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 11/15/2022] [Accepted: 11/20/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND Sphingosine-one phosphate receptor (S1PR) modulation inhibits S1PR1-mediated lymphocyte migration, lesion formation and positively-impacts on active multiple sclerosis (MS). These S1PR modulatory drugs have different: European Union use restrictions, pharmacokinetics, metabolic profiles and S1PR receptor affinities that may impact MS-management. Importantly, these confer useful properties in dealing with COVID-19, anti-viral drug responses and generating SARS-CoV-2 vaccine responses. OBJECTIVE To examine the biology and emerging data that potentially underpins immunity to the SARS-CoV-2 virus following natural infection and vaccination and determine how this impinges on the use of current sphingosine-one-phosphate modulators used in the treatment of MS. METHODS A literature review was performed, and data on infection, vaccination responses; S1PR distribution and functional activity was extracted from regulatory and academic information within the public domain. OBSERVATIONS Most COVID-19 related information relates to the use of fingolimod. This indicates that continuous S1PR1, S1PR3, S1PR4 and S1PR5 modulation is not associated with a worse prognosis following SARS-CoV-2 infection. Whilst fingolimod use is associated with blunted seroconversion and reduced peripheral T-cell vaccine responses, it appears that people on siponimod, ozanimod and ponesimod exhibit stronger vaccine-responses, which could be related notably to a limited impact on S1PR4 activity. Whilst it is thought that S1PR3 controls B cell function in addition to actions by S1PR1 and S1PR2, this may be species-related effect in rodents that is not yet substantiated in humans, as seen with bradycardia issues. Blunted antibody responses can be related to actions on B and T-cell subsets, germinal centre function and innate-immune biology. Although S1P1R-related functions are seeming central to control of MS and the generation of a fully functional vaccination response; the relative lack of influence on S1PR4-mediated actions on dendritic cells may increase the rate of vaccine-induced seroconversion with the newer generation of S1PR modulators and improve the risk-benefit balance IMPLICATIONS: Although fingolimod is a useful asset in controlling MS, recently-approved S1PR modulators may have beneficial biology related to pharmacokinetics, metabolism and more-restricted targeting that make it easier to generate infection-control and effective anti-viral responses to SARS-COV-2 and other pathogens. Further studies are warranted.
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Affiliation(s)
- David Baker
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom.
| | - Eugenia Forte
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Gareth Pryce
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Angray S Kang
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom; Centre for Oral Immunobiology and Regenerative Medicine, Dental Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Louisa K James
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Gavin Giovannoni
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom; Clinical Board Medicine (Neuroscience), The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Klaus Schmierer
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom; Clinical Board Medicine (Neuroscience), The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom
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13
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Adams LE, Leist SR, Dinnon KH, West A, Gully KL, Anderson EJ, Loome JF, Madden EA, Powers JM, Schäfer A, Sarkar S, Castillo IN, Maron JS, McNamara RP, Bertera HL, Zweigert MR, Higgins JS, Hampton BK, Premkumar L, Alter G, Montgomery SA, Baxter VK, Heise MT, Baric RS. Fc mediated pan-sarbecovirus protection after alphavirus vector vaccination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.11.28.518175. [PMID: 36482964 PMCID: PMC9727761 DOI: 10.1101/2022.11.28.518175] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Two group 2B β-coronaviruses (sarbecoviruses) have caused regional and global epidemics in modern history. The mechanisms of cross protection driven by the sarbecovirus spike, a dominant immunogen, are less clear yet critically important for pan-sarbecovirus vaccine development. We evaluated the mechanisms of cross-sarbecovirus protective immunity using a panel of alphavirus-vectored vaccines covering bat to human strains. While vaccination did not prevent virus replication, it protected against lethal heterologous disease outcomes in both SARS-CoV-2 and clade 2 bat sarbecovirus HKU3-SRBD challenge models. The spike vaccines tested primarily elicited a highly S1-specific homologous neutralizing antibody response with no detectable cross-virus neutralization. We found non-neutralizing antibody functions that mediated cross protection in wild-type mice were mechanistically linked to FcgR4 and spike S2-binding antibodies. Protection was lost in FcR knockout mice, further supporting a model for non-neutralizing, protective antibodies. These data highlight the importance of FcR-mediated cross-protective immune responses in universal pan-sarbecovirus vaccine designs.
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14
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Qi H, Xue JB, Lai DY, Li A, Tao SC. Current advances in antibody-based serum biomarker studies: From protein microarray to phage display. Proteomics Clin Appl 2022; 16:e2100098. [PMID: 36071670 DOI: 10.1002/prca.202100098] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 08/16/2022] [Accepted: 09/05/2022] [Indexed: 12/30/2022]
Abstract
PURPOSE This review aims to summarize the technological advances in the field of antibody-based biomarker studies by proteome microarray and phage display. In addition, the possible development directions of this field are also discussed. EXPERIMENTAL DESIGN We have focused on the antibody profiling by proteome microarray and phage display, including the technological advances, the tools/resources constructed, and the characteristics of both platforms. RESULTS With the help of tools/resources and technological advances in proteome microarray and phage display, the efficiency of profiling antibody-based biomarkers in serum samples has been greatly improved. CONCLUSIONS In the past few years, proteome microarray and phage display, especially the latter one, have already demonstrated their capacity and efficiency for biomarker identification. In the near future, we believe that more antibody-based biomarkers could be identified, and some of them could eventually be developed into real clinical applications.
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Affiliation(s)
- Huan Qi
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Jun-Biao Xue
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Dan-Yun Lai
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Ang Li
- College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Sheng-Ce Tao
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
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15
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Leong YX, Tan EX, Leong SX, Lin Koh CS, Thanh Nguyen LB, Ting Chen JR, Xia K, Ling XY. Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X. ACS NANO 2022; 16:13279-13293. [PMID: 36067337 DOI: 10.1021/acsnano.2c05731] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Disease X is a hypothetical unknown disease that has the potential to cause an epidemic or pandemic outbreak in the future. Nanosensors are attractive portable devices that can swiftly screen disease biomarkers on site, reducing the reliance on laboratory-based analyses. However, conventional data analytics limit the progress of nanosensor research. In this Perspective, we highlight the integral role of machine learning (ML) algorithms in advancing nanosensing strategies toward Disease X detection. We first summarize recent progress in utilizing ML algorithms for the smart design and fabrication of custom nanosensor platforms as well as realizing rapid on-site prediction of infection statuses. Subsequently, we discuss promising prospects in further harnessing the potential of ML algorithms in other aspects of nanosensor development and biomarker detection.
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Affiliation(s)
- Yong Xiang Leong
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Emily Xi Tan
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Shi Xuan Leong
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Charlynn Sher Lin Koh
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Lam Bang Thanh Nguyen
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Jaslyn Ru Ting Chen
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Kelin Xia
- Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore
| | - Xing Yi Ling
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
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16
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Vogl T, Kalka IN, Klompus S, Leviatan S, Weinberger A, Segal E. Systemic antibody responses against human microbiota flagellins are overrepresented in chronic fatigue syndrome patients. SCIENCE ADVANCES 2022; 8:eabq2422. [PMID: 36149952 DOI: 10.1126/sciadv.abq2422] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease with an unclear etiology and pathogenesis. Both an involvement of the immune system and gut microbiota dysbiosis have been implicated in its pathophysiology. However, potential interactions between adaptive immune responses and the microbiota in ME/CFS have been incompletely characterized. Here, we profiled antibody responses of patients with severe ME/CFS and healthy controls against microbiota and viral antigens represented as a phage-displayed 244,000 variant library. Patients with severe ME/CFS exhibited distinct serum antibody epitope repertoires against flagellins of Lachnospiraceae bacteria. Training machine learning algorithms on this antibody-binding data demonstrated that immune responses against gut microbiota represent a unique layer of information beyond standard blood tests, providing improved molecular diagnostics for ME/CFS. Together, our results point toward an involvement of the microbiota-immune axis in ME/CFS and lay the foundation for comparative studies with inflammatory bowel diseases and illnesses characterized by long-term fatigue symptoms, including post-COVID-19 syndrome.
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Affiliation(s)
- Thomas Vogl
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University Graz, Graz, Austria
| | - Iris N Kalka
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Shelley Klompus
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Sigal Leviatan
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
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17
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Jia L, Weng S, Wu J, Tian X, Zhang Y, Wang X, Wang J, Yan D, Wang W, Fang F, Zhu Z, Qiu C, Zhang W, Xu Y, Wan Y. Preexisting antibodies targeting SARS-CoV-2 S2 cross-react with commensal gut bacteria and impact COVID-19 vaccine induced immunity. Gut Microbes 2022; 14:2117503. [PMID: 36100957 PMCID: PMC9481142 DOI: 10.1080/19490976.2022.2117503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The origins of preexisting SARS-CoV-2 cross-reactive antibodies and their potential impacts on vaccine efficacy have not been fully clarified. In this study, we demonstrated that S2 was the prevailing target of the preexisting S protein cross-reactive antibodies in both healthy human and SPF mice. A dominant antibody epitope was identified on the connector domain of S2 (1147-SFKEELDKYFKNHT-1160, P144), which could be recognized by preexisting antibodies in both human and mouse. Through metagenomic sequencing and fecal bacteria transplant, we demonstrated that the generation of S2 cross-reactive antibodies was associated with commensal gut bacteria. Furthermore, six P144 reactive monoclonal antibodies were isolated from naïve SPF mice and were proven to cross-react with commensal gut bacteria collected from both human and mouse. A variety of cross-reactive microbial proteins were identified using LC-MS, of which E. coli derived HSP60 and HSP70 proteins were confirmed to be able to bind to one of the isolated monoclonal antibodies. Mice with high levels of preexisting S2 cross-reactive antibodies mounted higher S protein specific binding antibodies, especially against S2, after being immunized with a SARS-CoV-2 S DNA vaccine. Similarly, we found that levels of preexisting S2 and P144-specific antibodies correlated positively with RBD binding antibody titers after two doses of inactivated SARS-CoV-2 vaccination in human. Collectively, our study revealed an alternative origin of preexisting S2-targeted antibodies and disclosed a previously neglected aspect of the impact of gut microbiota on host anti-SARS-CoV-2 immunity.
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Affiliation(s)
- Liqiu Jia
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Shufeng Weng
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Jing Wu
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China,Ying Xu State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Xiangxiang Tian
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China,Clinical Laboratory, the First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan Province, Zhengzhou, China
| | - Yifan Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China,Clinical Laboratory, the First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan Province, Zhengzhou, China
| | - Xuyang Wang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Jing Wang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China,Department of Immunology, School of Basic Medical, Jiamusi University, Jiamusi, China
| | - Dongmei Yan
- Department of Immunology, School of Basic Medical, Jiamusi University, Jiamusi, China
| | - Wanhai Wang
- Clinical Laboratory, the First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan Province, Zhengzhou, China
| | - Fang Fang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Zhaoqin Zhu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, China,Zhaoqin Zhu Shanghai Public Health Clinical Center, Fudan University, Shanghai, China
| | - Chao Qiu
- Institutes of Biomedical Sciences & Shanghai Key Laboratory of Medical Epigenetics, Fudan University, Shanghai, China,Chao Qiu Key Laboratory of Medical Molecular Virology (MOE/MOH), Shanghai Medical College, Fudan University, Shanghai, China
| | - Wenhong Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China,State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai, China,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China,Key Laboratory of Medical Molecular Virology (MOE/MOH), Shanghai Medical College, Fudan University, Shanghai, China,Wenhong Zhang Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Ying Xu
- State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai, China,Ying Xu State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai, China
| | - Yanmin Wan
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China,State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai, China,Department of Radiology, Shanghai Public Health Clinical Center, Shanghai, China,CONTACT Yanmin Wan Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China
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Tiu CK, Zhu F, Wang LF, de Alwis R. Phage ImmunoPrecipitation Sequencing (PhIP-Seq): The Promise of High Throughput Serology. Pathogens 2022; 11:pathogens11050568. [PMID: 35631089 PMCID: PMC9143919 DOI: 10.3390/pathogens11050568] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/09/2022] [Accepted: 05/09/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary Determining the exposure or infection history of a person to a multitude of viruses is not an easy task. Typically, antibody tests detect antibodies against proteins (antigens) to only one or a few viruses. Here, we review an emerging technology called Phage ImmunoPrecipitation Sequencing (PhIP-Seq), that allows us to study the infection history of individuals to large numbers of viruses simultaneously. This technology uses bacteriophages to express and display viral antigens of choice, which are then bound by antigen-specific antibodies in patient samples. Antibody-bound bacteriophages are pulled down and identified through molecular techniques. This technology has been used in various infectious disease scenarios, including assessing exposure to different viruses, studying vaccine responses, and identifying viral cause of diseases. Despite inherent limitations in presenting only peptides, this technology holds great promise for future application in identifying novel pathogens, one health and pandemic preparedness. Abstract Phage ImmunoPrecipitation Sequencing (PhIP-Seq) is a high throughput serological technology that is revolutionizing the manner in which we track antibody profiles. In this review, we mainly focus on its application to viral infectious diseases. Through the pull-down of patient antibodies using peptide-tile-expressing T7 bacteriophages and detection using next-generation sequencing (NGS), PhIP-Seq allows the determination of antibody repertoires against peptide targets from hundreds of proteins and pathogens. It differs from conventional serological techniques in that PhIP-Seq does not require protein expression and purification. It also allows for the testing of many samples against the whole virome. PhIP-Seq has been successfully applied in many infectious disease investigations concerning seroprevalence, risk factors, time trends, etiology of disease, vaccinology, and emerging pathogens. Despite the inherent limitations of this technology, we foresee the future expansion of PhIP-Seq in both investigative studies and tracking of current, emerging, and novel viruses. Following the review of PhIP-Seq technology, its limitations, and applications, we recommend that PhIP-Seq be integrated into national surveillance programs and be used in conjunction with molecular techniques to support both One Health and pandemic preparedness efforts.
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Affiliation(s)
- Charles Kevin Tiu
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; (C.K.T.); (F.Z.); (L.-F.W.)
- SingHealth Duke-NUS Global Health Institute, Singapore 169857, Singapore
| | - Feng Zhu
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; (C.K.T.); (F.Z.); (L.-F.W.)
| | - Lin-Fa Wang
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; (C.K.T.); (F.Z.); (L.-F.W.)
- SingHealth Duke-NUS Global Health Institute, Singapore 169857, Singapore
| | - Ruklanthi de Alwis
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; (C.K.T.); (F.Z.); (L.-F.W.)
- Viral Research and Experimental Medicine Centre (ViREMiCS), SingHealth Duke-NUS Academic Medical Centre, Singapore 169856, Singapore
- Correspondence:
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19
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Rice BL, Lessler J, McKee C, Metcalf CJE. Why do some coronaviruses become pandemic threats when others do not? PLoS Biol 2022; 20:e3001652. [PMID: 35576224 PMCID: PMC9135331 DOI: 10.1371/journal.pbio.3001652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 05/26/2022] [Indexed: 11/18/2022] Open
Abstract
Despite multiple spillover events and short chains of transmission on at least 4 continents, Middle East Respiratory Syndrome Coronavirus (MERS-CoV) has never triggered a pandemic. By contrast, its relative, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has, despite apparently little, if any, previous circulation in humans. Resolving the unsolved mystery of the failure of MERS-CoV to trigger a pandemic could help inform how we understand the pandemic potential of pathogens, and probing it underscores a need for a more holistic understanding of the ways in which viral genetic changes scale up to population-level transmission.
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Affiliation(s)
- Benjamin L. Rice
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
| | - Justin Lessler
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Clifton McKee
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - C. Jessica E. Metcalf
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
- Princeton School of Public and International Affairs, Princeton University, Princeton, New Jersey, United States of America
- Wissenschaftskolleg zu Berlin, Berlin, Germany
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20
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Ruiz-Aravena M, McKee C, Gamble A, Lunn T, Morris A, Snedden CE, Yinda CK, Port JR, Buchholz DW, Yeo YY, Faust C, Jax E, Dee L, Jones DN, Kessler MK, Falvo C, Crowley D, Bharti N, Brook CE, Aguilar HC, Peel AJ, Restif O, Schountz T, Parrish CR, Gurley ES, Lloyd-Smith JO, Hudson PJ, Munster VJ, Plowright RK. Ecology, evolution and spillover of coronaviruses from bats. Nat Rev Microbiol 2022; 20:299-314. [PMID: 34799704 PMCID: PMC8603903 DOI: 10.1038/s41579-021-00652-2] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/19/2021] [Indexed: 12/24/2022]
Abstract
In the past two decades, three coronaviruses with ancestral origins in bats have emerged and caused widespread outbreaks in humans, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the first SARS epidemic in 2002-2003, the appreciation of bats as key hosts of zoonotic coronaviruses has advanced rapidly. More than 4,000 coronavirus sequences from 14 bat families have been identified, yet the true diversity of bat coronaviruses is probably much greater. Given that bats are the likely evolutionary source for several human coronaviruses, including strains that cause mild upper respiratory tract disease, their role in historic and future pandemics requires ongoing investigation. We review and integrate information on bat-coronavirus interactions at the molecular, tissue, host and population levels. We identify critical gaps in knowledge of bat coronaviruses, which relate to spillover and pandemic risk, including the pathways to zoonotic spillover, the infection dynamics within bat reservoir hosts, the role of prior adaptation in intermediate hosts for zoonotic transmission and the viral genotypes or traits that predict zoonotic capacity and pandemic potential. Filling these knowledge gaps may help prevent the next pandemic.
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Affiliation(s)
- Manuel Ruiz-Aravena
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA
| | - Clifton McKee
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Amandine Gamble
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tamika Lunn
- Centre for Planetary Health and Food Security, Griffith University, Nathan, QLD, Australia
| | - Aaron Morris
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Celine E Snedden
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Claude Kwe Yinda
- National Institute of Allergy and Infectious Diseases, Hamilton, MT, USA
| | - Julia R Port
- National Institute of Allergy and Infectious Diseases, Hamilton, MT, USA
| | - David W Buchholz
- Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Yao Yu Yeo
- Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Christina Faust
- Department of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA
| | - Elinor Jax
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Lauren Dee
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Devin N Jones
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA
| | - Maureen K Kessler
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA
- Department of Ecology, Montana State University, Bozeman, MT, USA
| | - Caylee Falvo
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA
| | - Daniel Crowley
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA
| | - Nita Bharti
- Department of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA
| | - Cara E Brook
- Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA
| | - Hector C Aguilar
- Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Alison J Peel
- Centre for Planetary Health and Food Security, Griffith University, Nathan, QLD, Australia
| | - Olivier Restif
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Tony Schountz
- Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA
| | - Colin R Parrish
- Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Emily S Gurley
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - James O Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Peter J Hudson
- Department of Biology, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA
| | - Vincent J Munster
- National Institute of Allergy and Infectious Diseases, Hamilton, MT, USA
| | - Raina K Plowright
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA.
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21
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Asymptomatic infection after BNT162b2 mRNA COVID-19 vaccination in multiple sclerosis patient. Acta Neurol Belg 2022; 122:565-566. [PMID: 34529258 PMCID: PMC8444159 DOI: 10.1007/s13760-021-01799-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 09/06/2021] [Indexed: 12/03/2022]
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22
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Borrega R, Nelson DKS, Koval AP, Bond NG, Heinrich ML, Rowland MM, Lathigra R, Bush DJ, Aimukanova I, Phinney WN, Koval SA, Hoffmann AR, Smither AR, Bell-Kareem AR, Melnik LI, Genemaras KJ, Chao K, Snarski P, Melton AB, Harrell JE, Smira AA, Elliott DH, Rouelle JA, Sabino-Santos G, Drouin AC, Momoh M, Sandi JD, Goba A, Samuels RJ, Kanneh L, Gbakie M, Branco ZL, Shaffer JG, Schieffelin JS, Robinson JE, Fusco DN, Sabeti PC, Andersen KG, Grant DS, Boisen ML, Branco LM, Garry RF. Cross-Reactive Antibodies to SARS-CoV-2 and MERS-CoV in Pre-COVID-19 Blood Samples from Sierra Leoneans. Viruses 2021; 13:2325. [PMID: 34835131 PMCID: PMC8625389 DOI: 10.3390/v13112325] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/14/2021] [Accepted: 11/17/2021] [Indexed: 12/15/2022] Open
Abstract
Many countries in sub-Saharan Africa have experienced lower COVID-19 caseloads and fewer deaths than countries in other regions worldwide. Under-reporting of cases and a younger population could partly account for these differences, but pre-existing immunity to coronaviruses is another potential factor. Blood samples from Sierra Leonean Lassa fever and Ebola survivors and their contacts collected before the first reported COVID-19 cases were assessed using enzyme-linked immunosorbent assays for the presence of antibodies binding to proteins of coronaviruses that infect humans. Results were compared to COVID-19 subjects and healthy blood donors from the United States. Prior to the pandemic, Sierra Leoneans had more frequent exposures than Americans to coronaviruses with epitopes that cross-react with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), SARS-CoV, and Middle Eastern respiratory syndrome coronavirus (MERS-CoV). The percentage of Sierra Leoneans with antibodies reacting to seasonal coronaviruses was also higher than for American blood donors. Serological responses to coronaviruses by Sierra Leoneans did not differ by age or sex. Approximately a quarter of Sierra Leonian pre-pandemic blood samples had neutralizing antibodies against SARS-CoV-2 pseudovirus, while about a third neutralized MERS-CoV pseudovirus. Prior exposures to coronaviruses that induce cross-protective immunity may contribute to reduced COVID-19 cases and deaths in Sierra Leone.
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Affiliation(s)
- Rodrigo Borrega
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Diana K. S. Nelson
- Zalgen Labs, LCC, Broomfield, CO 80045, USA; (D.K.S.N.); (D.J.B.); (I.A.); (W.N.P.)
| | - Anatoliy P. Koval
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Nell G. Bond
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
| | - Megan L. Heinrich
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Megan M. Rowland
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Raju Lathigra
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Duane J. Bush
- Zalgen Labs, LCC, Broomfield, CO 80045, USA; (D.K.S.N.); (D.J.B.); (I.A.); (W.N.P.)
| | - Irina Aimukanova
- Zalgen Labs, LCC, Broomfield, CO 80045, USA; (D.K.S.N.); (D.J.B.); (I.A.); (W.N.P.)
| | - Whitney N. Phinney
- Zalgen Labs, LCC, Broomfield, CO 80045, USA; (D.K.S.N.); (D.J.B.); (I.A.); (W.N.P.)
| | - Sophia A. Koval
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Andrew R. Hoffmann
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
| | - Allison R. Smither
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
| | - Antoinette R. Bell-Kareem
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
| | - Lilia I. Melnik
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
| | - Kaylynn J. Genemaras
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
- Bioinnovation Program, Tulane University, New Orleans, LA 70118, USA
| | - Karissa Chao
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
- Bioinnovation Program, Tulane University, New Orleans, LA 70118, USA
| | - Patricia Snarski
- Heart and Vascular Institute, John W. Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA;
- Department of Physiology, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Alexandra B. Melton
- Department of Microbiology, Tulane National Primate Research Center, Covington, LA 70433, USA;
| | - Jaikin E. Harrell
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
| | - Ashley A. Smira
- Department of Pediatrics, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (A.A.S.); (D.H.E.); (J.A.R.); (J.S.S.); (J.E.R.)
| | - Debra H. Elliott
- Department of Pediatrics, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (A.A.S.); (D.H.E.); (J.A.R.); (J.S.S.); (J.E.R.)
| | - Julie A. Rouelle
- Department of Pediatrics, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (A.A.S.); (D.H.E.); (J.A.R.); (J.S.S.); (J.E.R.)
| | - Gilberto Sabino-Santos
- Department of Tropical Medicine, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA;
- Centre for Virology Research, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirao Preto 14049-900, SP, Brazil
| | - Arnaud C. Drouin
- Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (A.C.D.); (D.N.F.)
| | - Mambu Momoh
- Eastern Polytechnic Institute, Kenema, Sierra Leone;
- Viral Hemorrhagic Fever Program, Kenema Government Hospital, Kenema, Sierra Leone; (J.D.S.); (A.G.); (R.J.S.); (L.K.); (M.G.)
- Ministry of Health and Sanitation, Freetown, Sierra Leone
| | - John Demby Sandi
- Viral Hemorrhagic Fever Program, Kenema Government Hospital, Kenema, Sierra Leone; (J.D.S.); (A.G.); (R.J.S.); (L.K.); (M.G.)
| | - Augustine Goba
- Viral Hemorrhagic Fever Program, Kenema Government Hospital, Kenema, Sierra Leone; (J.D.S.); (A.G.); (R.J.S.); (L.K.); (M.G.)
| | - Robert J. Samuels
- Viral Hemorrhagic Fever Program, Kenema Government Hospital, Kenema, Sierra Leone; (J.D.S.); (A.G.); (R.J.S.); (L.K.); (M.G.)
| | - Lansana Kanneh
- Viral Hemorrhagic Fever Program, Kenema Government Hospital, Kenema, Sierra Leone; (J.D.S.); (A.G.); (R.J.S.); (L.K.); (M.G.)
| | - Michael Gbakie
- Viral Hemorrhagic Fever Program, Kenema Government Hospital, Kenema, Sierra Leone; (J.D.S.); (A.G.); (R.J.S.); (L.K.); (M.G.)
| | - Zoe L. Branco
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Jeffrey G. Shaffer
- Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA;
| | - John S. Schieffelin
- Department of Pediatrics, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (A.A.S.); (D.H.E.); (J.A.R.); (J.S.S.); (J.E.R.)
- Department of Internal Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - James E. Robinson
- Department of Pediatrics, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (A.A.S.); (D.H.E.); (J.A.R.); (J.S.S.); (J.E.R.)
| | - Dahlene N. Fusco
- Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (A.C.D.); (D.N.F.)
| | - Pardis C. Sabeti
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA 02142, USA;
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA 02114, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA
| | - Kristian G. Andersen
- Department of Immunology and Microbial Science, Scripps Research, La Jolla, CA 92037, USA;
- Scripps Research Translational Institute, La Jolla, CA 92037, USA
| | - Donald S. Grant
- Viral Hemorrhagic Fever Program, Kenema Government Hospital, Kenema, Sierra Leone; (J.D.S.); (A.G.); (R.J.S.); (L.K.); (M.G.)
- Ministry of Health and Sanitation, Freetown, Sierra Leone
| | - Matthew L. Boisen
- Zalgen Labs, LCC, Broomfield, CO 80045, USA; (D.K.S.N.); (D.J.B.); (I.A.); (W.N.P.)
| | - Luis M. Branco
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
| | - Robert F. Garry
- Zalgen Labs, LCC, Germantown, MD 20876, USA; (R.B.); (A.P.K.); (M.L.H.); (M.M.R.); (R.L.); (S.A.K.); (Z.L.B.)
- Zalgen Labs, LCC, Broomfield, CO 80045, USA; (D.K.S.N.); (D.J.B.); (I.A.); (W.N.P.)
- Department of Microbiology and Immunology, School of Medicine, Tulane University, New Orleans, LA 70112, USA; (N.G.B.); (A.R.H.); (A.R.S.); (A.R.B.-K.); (L.I.M.); (K.J.G.); (K.C.); (J.E.H.)
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23
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Wang J, Guo C, Cai L, Liao C, Yi H, Li Q, Hu H, Deng Q, Lu Y, Guo Z, Chen Z, Lu J. Pre-Existing Cross-Reactive Antibody Responses Do Not Significantly Impact Inactivated COVID-19 Vaccine-Induced Neutralization. Front Immunol 2021; 12:772511. [PMID: 34868035 PMCID: PMC8640209 DOI: 10.3389/fimmu.2021.772511] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/03/2021] [Indexed: 11/24/2022] Open
Abstract
Recent exposure to seasonal coronaviruses (sCoVs) may stimulate cross-reactive antibody responses against severe acute respiratory syndrome CoV 2 (SARS-CoV-2). However, previous studies have produced divergent results regarding protective or damaging immunity induced by prior sCoV exposure. It remains unknown whether pre-existing humoral immunity plays a role in vaccine-induced neutralization and antibody responses. In this study, we collected 36 paired sera samples from 36 healthy volunteers before and after immunization with inactivated whole-virion SARS-CoV-2 vaccines for COVID-19, and analyzed the distribution and intensity of pre-existing antibody responses at the epitope level pre-vaccination as well as the relationship between pre-existing sCoV immunity and vaccine-induced neutralization. We observed large amounts of pre-existing cross-reactive antibodies in the conserved regions among sCoVs, especially the S2 subunit. Excep t for a few peptides, the IgG and IgM fluorescence intensities against S, M and N peptides did not differ significantly between pre-vaccination and post-vaccination sera of vaccinees who developed a neutralization inhibition rate (%inhibition) <40 and %inhibition ≥40 after two doses of the COVID-19 vaccine. Participants with strong and weak pre-existing cross-reactive antibodies (strong pre-CRA; weak pre-CRA) had similar %inhibition pre-vaccination (10.9% ± 2.9% vs. 12.0% ± 2.2%, P=0.990) and post-vaccination (43.8% ± 25.1% vs. 44.6% ± 21.5%, P=0.997). Overall, the strong pre-CRA group did not show a significantly greater increase in antibody responses to the S protein linear peptides post-vaccination compared with the weak pre-CRA group. Therefore, we found no evidence for a significant impact of pre-existing antibody responses on inactivated vaccine-induced neutralization and antibody responses. Our research provides an important basis for inactivated SARS-CoV-2 vaccine use in the context of high sCoV seroprevalence.
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Affiliation(s)
- Jin Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Cheng Guo
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Lin Cai
- Futian District Center for Disease Control and Prevention, Shenzhen, China
| | - Conghui Liao
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Huaimin Yi
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Qianlin Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Huan Hu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Qiang Deng
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Yuying Lu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Zhongmin Guo
- Laboratory Animal Center, Sun Yat-sen University, Guangzhou, China
| | - Zeliang Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
| | - Jiahai Lu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
- National Medical Products Administration (NMPA) Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, Guangzhou, China
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24
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Parkhe P, Verma S. Evolution, Interspecies Transmission, and Zoonotic Significance of Animal Coronaviruses. Front Vet Sci 2021; 8:719834. [PMID: 34738021 PMCID: PMC8560429 DOI: 10.3389/fvets.2021.719834] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 09/07/2021] [Indexed: 12/18/2022] Open
Abstract
Coronaviruses are single-stranded RNA viruses that affect humans and a wide variety of animal species, including livestock, wild animals, birds, and pets. These viruses have an affinity for different tissues, such as those of the respiratory and gastrointestinal tract of most mammals and birds and the hepatic and nervous tissues of rodents and porcine. As coronaviruses target different host cell receptors and show divergence in the sequences and motifs of their structural and accessory proteins, they are classified into groups, which may explain the evolutionary relationship between them. The interspecies transmission, zoonotic potential, and ability to mutate at a higher rate and emerge into variants of concern highlight their importance in the medical and veterinary fields. The contribution of various factors that result in their evolution will provide better insight and may help to understand the complexity of coronaviruses in the face of pandemics. In this review, important aspects of coronaviruses infecting livestock, birds, and pets, in particular, their structure and genome organization having a bearing on evolutionary and zoonotic outcomes, have been discussed.
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Affiliation(s)
| | - Subhash Verma
- Department of Veterinary Microbiology, DGCN College of Veterinary and Animal Sciences, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, India
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25
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Flemming A. Detecting future coronavirus pandemics. Nat Rev Immunol 2021; 21:547. [PMID: 34376830 PMCID: PMC8353613 DOI: 10.1038/s41577-021-00611-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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