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Nziza N, Jung W, Mendu M, Chen T, Julg B, Graham B, Ramilo O, Mejias A, Alter G. Longitudinal humoral analysis in RSV-infected infants identifies pre-existing RSV strain-specific G and evolving cross-reactive F antibodies. Immunity 2024; 57:1681-1695.e4. [PMID: 38876099 DOI: 10.1016/j.immuni.2024.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 01/16/2024] [Accepted: 05/20/2024] [Indexed: 06/16/2024]
Abstract
Respiratory syncytial virus (RSV) is among the most common causes of lower respiratory tract infection (LRTI) and hospitalization in infants. However, the mechanisms of immune control in infants remain incompletely understood. Antibody profiling against attachment (G) and fusion (F) proteins in children less than 2 years of age, with mild (outpatients) or severe (inpatients) RSV disease, indicated substantial age-dependent differences in RSV-specific immunity. Maternal antibodies were detectable for the first 3 months of life, followed by a long window of immune vulnerability between 3 and 6 months and a rapid evolution of FcγR-recruiting immunity after 6 months of age. Acutely ill hospitalized children exhibited lower G-specific antibodies compared with healthy controls. With disease resolution, RSV-infected infants generated broad functional RSV strain-specific G-responses and evolved cross-reactive F-responses, with minimal maternal imprinting. These data suggest an age-independent RSV G-specific functional humoral correlate of protection, and the evolution of RSV F-specific functional immunity with disease resolution.
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Affiliation(s)
- Nadège Nziza
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Wonyeong Jung
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Maanasa Mendu
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA; Harvard University, Cambridge, MA, USA
| | - Tina Chen
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Boris Julg
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Barney Graham
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Octavio Ramilo
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA; Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, OH, USA.
| | - Asuncion Mejias
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA; Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University College of Medicine, Columbus, OH, USA.
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
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2
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Catani JPP, Smet A, Ysenbaert T, Vuylsteke M, Bottu G, Mathys J, Botzki A, Cortes-Garcia G, Strugnell T, Gomila R, Hamberger J, Catalan J, Ustyugova IV, Farrell T, Stegalkina S, Ray S, LaRue L, Saelens X, Vogel TU. The antigenic landscape of human influenza N2 neuraminidases from 2009 until 2017. eLife 2024; 12:RP90782. [PMID: 38805550 PMCID: PMC11132685 DOI: 10.7554/elife.90782] [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] [Indexed: 05/30/2024] Open
Abstract
Human H3N2 influenza viruses are subject to rapid antigenic evolution which translates into frequent updates of the composition of seasonal influenza vaccines. Despite these updates, the effectiveness of influenza vaccines against H3N2-associated disease is suboptimal. Seasonal influenza vaccines primarily induce hemagglutinin-specific antibody responses. However, antibodies directed against influenza neuraminidase (NA) also contribute to protection. Here, we analysed the antigenic diversity of a panel of N2 NAs derived from human H3N2 viruses that circulated between 2009 and 2017. The antigenic breadth of these NAs was determined based on the NA inhibition (NAI) of a broad panel of ferret and mouse immune sera that were raised by infection and recombinant N2 NA immunisation. This assessment allowed us to distinguish at least four antigenic groups in the N2 NAs derived from human H3N2 viruses that circulated between 2009 and 2017. Computational analysis further revealed that the amino acid residues in N2 NA that have a major impact on susceptibility to NAI by immune sera are in proximity of the catalytic site. Finally, a machine learning method was developed that allowed to accurately predict the impact of mutations that are present in our N2 NA panel on NAI. These findings have important implications for the renewed interest to develop improved influenza vaccines based on the inclusion of a protective NA antigen formulation.
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Affiliation(s)
- João Paulo Portela Catani
- VIB-UGent Center for Medical BiotechnologyGhentBelgium
- Department of Biochemistry and Microbiology, Ghent UniversityGhentBelgium
| | - Anouk Smet
- VIB-UGent Center for Medical BiotechnologyGhentBelgium
- Department of Biochemistry and Microbiology, Ghent UniversityGhentBelgium
| | - Tine Ysenbaert
- VIB-UGent Center for Medical BiotechnologyGhentBelgium
- Department of Biochemistry and Microbiology, Ghent UniversityGhentBelgium
| | | | | | | | | | | | - Tod Strugnell
- Sanofi, Research North AmericaCambridgeUnited States
| | - Raul Gomila
- Sanofi, Research North AmericaCambridgeUnited States
| | | | - John Catalan
- Sanofi, Research North AmericaCambridgeUnited States
| | | | | | | | - Satyajit Ray
- Sanofi, Research North AmericaCambridgeUnited States
| | - Lauren LaRue
- Sanofi, Research North AmericaCambridgeUnited States
| | - Xavier Saelens
- VIB-UGent Center for Medical BiotechnologyGhentBelgium
- Department of Biochemistry and Microbiology, Ghent UniversityGhentBelgium
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3
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Nuñez IA, Jang H, Huang Y, Kelvin A, Ross TM. Influenza virus immune imprinting dictates the clinical outcomes in ferrets challenged with highly pathogenic avian influenza virus H5N1. Front Vet Sci 2023; 10:1286758. [PMID: 38170075 PMCID: PMC10759238 DOI: 10.3389/fvets.2023.1286758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
Zoonotic transmission of H5N1 highly pathogenic avian influenza virus (HPAIV) into the human population is an increasing global threat. The recent 2022 HPAIV outbreak significantly highlighted this possibility, increasing concern in the general population. The clinical outcomes of H5N1 influenza virus exposure can be determined by an individual's primary influenza virus infection (imprinting) or vaccination status. Immunological imprinting with Group 1 - (H1N1, H2N2, and H2N3) increases survival rates following H5N1 viral infection compared to Group 2 - (H3N2) imprinted individuals. Vaccination against H5N1 influenza viruses can offer protection to at-risk populations; however, stockpiled inactivated H5N1 influenza vaccines are not readily available to the public. We hypothesize that the immunological response to vaccination and subsequent clinical outcome following H5N1 influenza virus infection is correlated with the immunological imprinting status of an individual. To test this hypothesis, our lab established a ferret pre-immune model of disease. Naïve ferrets were intranasally inoculated with seasonal influenza viruses and allowed to recover for 84 days prior to H5N1 virus infection. Ferrets imprinted following H1N1 and H2N3 virus infections were completely protected against lethal H5N1 influenza virus challenge (100% survival), with few to no clinical symptoms. In comparison, H3N2 influenza virus-imprinted ferrets had severe clinical symptoms, delayed disease progression, and a sublethal phenotype (40% mortality). Consecutive infections with H1N1 influenza viruses followed by an H3N2 influenza virus infection did not abrogate the immune protection induced by the original H1N1 influenza virus infection. In addition, ferrets consecutively infected with H1N1 and H2N3 viruses had no clinical symptoms or weight loss. H3N2 pre-immune ferrets were vaccinated with a broadly reactive H5 HA-based or H1 NA-based vaccine (Hu-CO 2). These ferrets were protected against H5N1 influenza virus challenge, whereas ferrets vaccinated with the H1N1 wild-type CA/09 rHA vaccine had similar phenotypes as non-vaccinated H3N2-imprinted ferrets with 40% survival. Overall, Group 2 imprinted ferrets, which were vaccinated with heterologous Group 1 HA vaccines, had redirected immune responses to Group 1 influenza viral antigens and rescued a sublethal phenotype to complete protection.
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Affiliation(s)
- Ivette A. Nuñez
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States
| | - Hyesun Jang
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States
| | - Ying Huang
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States
| | - Alyson Kelvin
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK, Canada
| | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States
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4
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Hornsby H, Nicols AR, Longet S, Liu C, Tomic A, Angyal A, Kronsteiner B, Tyerman JK, Tipton T, Zhang P, Gallis M, Supasa P, Selvaraj M, Abraham P, Neale I, Ali M, Barratt NA, Nell JM, Gustafsson L, Strickland S, Grouneva I, Rostron T, Moore SC, Hering LM, Dobson SL, Bibi S, Mongkolsapaya J, Lambe T, Wootton D, Hall V, Hopkins S, Dong T, Barnes E, Screaton G, Richter A, Turtle L, Rowland-Jones SL, Carroll M, Duncan CJA, Klenerman P, Dunachie SJ, Payne RP, de Silva TI. Omicron infection following vaccination enhances a broad spectrum of immune responses dependent on infection history. Nat Commun 2023; 14:5065. [PMID: 37604803 PMCID: PMC10442364 DOI: 10.1038/s41467-023-40592-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 08/02/2023] [Indexed: 08/23/2023] Open
Abstract
Pronounced immune escape by the SARS-CoV-2 Omicron variant has resulted in many individuals possessing hybrid immunity, generated through a combination of vaccination and infection. Concerns have been raised that omicron breakthrough infections in triple-vaccinated individuals result in poor induction of omicron-specific immunity, and that prior SARS-CoV-2 infection is associated with immune dampening. Taking a broad and comprehensive approach, we characterize mucosal and blood immunity to spike and non-spike antigens following BA.1/BA.2 infections in triple mRNA-vaccinated individuals, with and without prior SARS-CoV-2 infection. We find that most individuals increase BA.1/BA.2/BA.5-specific neutralizing antibodies following infection, but confirm that the magnitude of increase and post-omicron titres are higher in the infection-naive. In contrast, significant increases in nasal responses, including neutralizing activity against BA.5 spike, are seen regardless of infection history. Spike-specific T cells increase only in infection-naive vaccinees; however, post-omicron T cell responses are significantly higher in the previously-infected, who display a maximally induced response with a highly cytotoxic CD8+ phenotype following their 3rd mRNA vaccine dose. Responses to non-spike antigens increase significantly regardless of prior infection status. These findings suggest that hybrid immunity induced by omicron breakthrough infections is characterized by significant immune enhancement that can help protect against future omicron variants.
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Affiliation(s)
- Hailey Hornsby
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | - Alexander R Nicols
- Translational and Clinical Research Institute, Immunity, and Inflammation Theme, Newcastle University, Newcastle, UK
| | - Stephanie Longet
- Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Chang Liu
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Adriana Tomic
- National Emerging Infectious Diseases Laboratories, Boston University, Boston, MA, USA
- Department of Microbiology, Boston University School of Medicine, Boston, MA, USA
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK
| | - Adrienn Angyal
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | - Barbara Kronsteiner
- Peter Medawar Building for Pathogen Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
- NDM Centre For Global Health Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
| | - Jessica K Tyerman
- Translational and Clinical Research Institute, Immunity, and Inflammation Theme, Newcastle University, Newcastle, UK
| | - Tom Tipton
- Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Peijun Zhang
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | - Marta Gallis
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | - Piyada Supasa
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Muneeswaran Selvaraj
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Priyanka Abraham
- Peter Medawar Building for Pathogen Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
- NDM Centre For Global Health Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
| | - Isabel Neale
- Peter Medawar Building for Pathogen Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
- NDM Centre For Global Health Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
| | - Mohammad Ali
- Peter Medawar Building for Pathogen Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
- NDM Centre For Global Health Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
| | - Natalie A Barratt
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | - Jeremy M Nell
- Translational and Clinical Research Institute, Immunity, and Inflammation Theme, Newcastle University, Newcastle, UK
- Department of Infection and Tropical Medicine, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Lotta Gustafsson
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Scarlett Strickland
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Irina Grouneva
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
| | - Timothy Rostron
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Shona C Moore
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Luisa M Hering
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Susan L Dobson
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Sagida Bibi
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK
| | - Juthathip Mongkolsapaya
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
| | - Teresa Lambe
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford, UK
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
| | - Dan Wootton
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Victoria Hall
- UK Health Security Agency, London, UK
- Faculty of Medicine, Department of Infectious Disease, Imperial College London, London, UK
| | - Susan Hopkins
- UK Health Security Agency, London, UK
- Faculty of Medicine, Department of Infectious Disease, Imperial College London, London, UK
- NIHR Health Protection Research Unit in Healthcare Associated Infection and Antimicrobial Resistance, University of Oxford, Oxford, UK
| | - Tao Dong
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Eleanor Barnes
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre and Oxford University NHS Foundation Trust, Oxford, UK
| | - Gavin Screaton
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Chinese Academy of Medical Science (CAMS) Oxford Institute (COI), University of Oxford, Oxford, UK
| | - Alex Richter
- Institute for Immunology and Immunotherapy, College of Medical and Dental Science, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Lance Turtle
- NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- Tropical & Infectious Disease Unit, Liverpool University Hospitals NHS Foundation Trust (member of Liverpool Health Partners), Liverpool, UK
| | - Sarah L Rowland-Jones
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Miles Carroll
- Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Christopher J A Duncan
- Translational and Clinical Research Institute, Immunity, and Inflammation Theme, Newcastle University, Newcastle, UK
- Department of Infection and Tropical Medicine, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Paul Klenerman
- Peter Medawar Building for Pathogen Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK.
- Oxford NIHR Biomedical Research Centre and Oxford University NHS Foundation Trust, Oxford, UK.
- Translational Gastroenterology Unit, University of Oxford, Oxford, UK.
| | - Susanna J Dunachie
- Peter Medawar Building for Pathogen Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
- NDM Centre For Global Health Research, Nuffield Dept. of Clinical Medicine, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre and Oxford University NHS Foundation Trust, Oxford, UK
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Rebecca P Payne
- Translational and Clinical Research Institute, Immunity, and Inflammation Theme, Newcastle University, Newcastle, UK
| | - Thushan I de Silva
- Division of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK.
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
- Vaccines and Immunity Theme, Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
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5
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Zhang W, Rowntree LC, Muttucumaru R, Damelang T, Aban M, Hurt AC, Auladell M, Esterbauer R, Wines B, Hogarth M, Turner SJ, Wheatley AK, Kent SJ, Patil S, Avery S, Morrissey O, Chung AW, Koutsakos M, Nguyen THO, Cheng AC, Kotsimbos TC, Kedzierska K. Robust immunity to influenza vaccination in haematopoietic stem cell transplant recipients following reconstitution of humoral and adaptive immunity. Clin Transl Immunology 2023; 12:e1456. [PMID: 37383182 PMCID: PMC10294294 DOI: 10.1002/cti2.1456] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 05/22/2023] [Accepted: 06/09/2023] [Indexed: 06/30/2023] Open
Abstract
Objectives Influenza causes significant morbidity and mortality, especially in high-risk populations. Although current vaccination regimens are the best method to combat annual influenza disease, vaccine efficacy can be low in high-risk groups, such as haematopoietic stem cell transplant (HSCT) recipients. Methods We comprehensively assessed humoral immunity, antibody landscapes, systems serology and influenza-specific B-cell responses, together with their phenotypes and isotypes, to the inactivated influenza vaccine (IIV) in HSCT recipients in comparison to healthy controls. Results Inactivated influenza vaccine significantly increased haemagglutination inhibition (HAI) titres in HSCT recipients, similar to healthy controls. Systems serology revealed increased IgG1 and IgG3 antibody levels towards the haemagglutinin (HA) head, but not to neuraminidase, nucleoprotein or HA stem. IIV also increased frequencies of total, IgG class-switched and CD21loCD27+ influenza-specific B cells, determined by HA probes and flow cytometry. Strikingly, 40% of HSCT recipients had markedly higher antibody responses towards A/H3N2 vaccine strain than healthy controls and showed cross-reactivity to antigenically drifted A/H3N2 strains by antibody landscape analysis. These superior humoral responses were associated with a greater time interval after HSCT, while multivariant analyses revealed the importance of pre-existing immune memory. Conversely, in HSCT recipients who did not respond to the first dose, the second IIV dose did not greatly improve their humoral response, although 50% of second-dose patients reached a seroprotective HAI titre for at least one of vaccine strains. Conclusions Our study demonstrates efficient, although time-dependent, immune responses to IIV in HSCT recipients, and provides insights into influenza vaccination strategies targeted to immunocompromised high-risk groups.
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Affiliation(s)
- Wuji Zhang
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Louise C Rowntree
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | | | - Timon Damelang
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Malet Aban
- World Health Organisation (WHO) Collaborating Centre for Reference and Research on Influenza, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Aeron C Hurt
- World Health Organisation (WHO) Collaborating Centre for Reference and Research on Influenza, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
- Product Development Medical Affairs, Infectious DiseasesF. Hoffmann-La Roche LtdBaselSwitzerland
| | - Maria Auladell
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Robyn Esterbauer
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | | | | | - Stephen J Turner
- Infection and Immunity Program, Monash Biomedicine Discovery Institute, and Department of MicrobiologyMonash UniversityClaytonVICAustralia
| | - Adam K Wheatley
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Stephen J Kent
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
- Melbourne Sexual Health Centre, Infectious Diseases Department, Alfred Health, Central Clinical SchoolMonash UniversityMelbourneVICAustralia
| | - Sushrut Patil
- Malignant Haematology and Stem Cell Transplantation Service, Department of Clinical HaematologyThe Alfred HospitalMelbourneVICAustralia
| | - Sharon Avery
- Malignant Haematology and Stem Cell Transplantation Service, Department of Clinical HaematologyThe Alfred HospitalMelbourneVICAustralia
| | - Orla Morrissey
- Department of Infectious DiseasesAlfred HealthMelbourneVICAustralia
| | - Amy W Chung
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Marios Koutsakos
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Thi HO Nguyen
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
| | - Allen C Cheng
- School of Public Health and Preventive MedicineMonash UniversityClaytonVICAustralia
- Infection Prevention and Healthcare Epidemiology UnitAlfred HealthMelbourneVICAustralia
| | - Tom C Kotsimbos
- Department of Respiratory MedicineThe Alfred HospitalMelbourneVICAustralia
- Department of Medicine, Central Clinical School, The Alfred HospitalMonash UniversityMelbourneVICAustralia
| | - Katherine Kedzierska
- Department of Microbiology and ImmunologyUniversity of Melbourne, at the Peter Doherty Institute for Infection and ImmunityMelbourneVICAustralia
- Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI‐CoRE)Hokkaido UniversitySapporoJapan
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6
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Xie Y, Tian X, Zhang X, Yao H, Wu N. Immune interference in effectiveness of influenza and COVID-19 vaccination. Front Immunol 2023; 14:1167214. [PMID: 37153582 PMCID: PMC10154574 DOI: 10.3389/fimmu.2023.1167214] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/06/2023] [Indexed: 05/09/2023] Open
Abstract
Vaccines are known to function as the most effective interventional therapeutics for controlling infectious diseases, including polio, smallpox, rabies, tuberculosis, influenza and SARS-CoV-2. Smallpox has been eliminated completely and polio is almost extinct because of vaccines. Rabies vaccines and Bacille Calmette-Guérin (BCG) vaccines could effectively protect humans against respective infections. However, both influenza vaccines and COVID-19 vaccines are unable to eliminate these two infectious diseases of their highly variable antigenic sites in viral proteins. Vaccine effectiveness (VE) could be negatively influenced (i.e., interfered with) by immune imprinting of previous infections or vaccinations, and repeated vaccinations could interfere with VE against infections due to mismatch between vaccine strains and endemic viral strains. Moreover, VE could also be interfered with when more than one kind of vaccine is administrated concomitantly (i.e., co-administrated), suggesting that the VE could be modulated by the vaccine-induced immunity. In this review, we revisit the evidence that support the interfered VE result from immune imprinting or repeated vaccinations in influenza and COVID-19 vaccine, and the interference in co-administration of these two types of vaccines is also discussed. Regarding the development of next-generation COVID-19 vaccines, the researchers should focus on the induction of cross-reactive T-cell responses and naive B-cell responses to overcome negative effects from the immune system itself. The strategy of co-administrating influenza and COVID-19 vaccine needs to be considered more carefully and more clinical data is needed to verify this strategy to be safe and immunogenic.
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Affiliation(s)
- Yiwen Xie
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Xuebin Tian
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Xiaodi Zhang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Hangping Yao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
| | - Nanping Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China
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7
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Sawant S, Gurley SA, Overman RG, Sharak A, Mudrak SV, Oguin T, Sempowski GD, Sarzotti-Kelsoe M, Walter EB, Xie H, Pasetti MF, Moody MA, Tomaras GD. H3N2 influenza hemagglutination inhibition method qualification with data driven statistical methods for human clinical trials. Front Immunol 2023; 14:1155880. [PMID: 37090729 PMCID: PMC10117676 DOI: 10.3389/fimmu.2023.1155880] [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: 01/31/2023] [Accepted: 03/09/2023] [Indexed: 04/09/2023] Open
Abstract
Introduction Hemagglutination inhibition (HAI) antibody titers to seasonal influenza strains are important surrogates for vaccine-elicited protection. However, HAI assays can be variable across labs, with low sensitivity across diverse viruses due to lack of standardization. Performing qualification of these assays on a strain specific level enables the precise and accurate quantification of HAI titers. Influenza A (H3N2) continues to be a predominant circulating subtype in most countries in Europe and North America since 1968 and is thus a focus of influenza vaccine research. Methods As a part of the National Institutes of Health (NIH)-funded Collaborative Influenza Vaccine Innovation Centers (CIVICs) program, we report on the identification of a robust assay design, rigorous statistical analysis, and complete qualification of an HAI assay using A/Texas/71/2017 as a representative H3N2 strain and guinea pig red blood cells and neuraminidase (NA) inhibitor oseltamivir to prevent NA-mediated agglutination. Results This qualified HAI assay is precise (calculated by the geometric coefficient of variation (GCV)) for intermediate precision and intra-operator variability, accurate calculated by relative error, perfectly linear (slope of -1, R-Square 1), robust (<25% GCV) and depicts high specificity and sensitivity. This HAI method was successfully qualified for another H3N2 influenza strain A/Singapore/INFIMH-16-0019/2016, meeting all pre-specified acceptance criteria. Discussion These results demonstrate that HAI qualification and data generation for new influenza strains can be achieved efficiently with minimal extra testing and development. We report on a qualified and adaptable influenza serology method and analysis strategy to measure quantifiable HAI titers to define correlates of vaccine mediated protection in human clinical trials.
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Affiliation(s)
- Sheetal Sawant
- Center for Human Systems Immunology, Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
| | - Sarah Anne Gurley
- Center for Human Systems Immunology, Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
| | - R. Glenn Overman
- Center for Human Systems Immunology, Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
| | - Angelina Sharak
- Center for Human Systems Immunology, Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
| | - Sarah V. Mudrak
- Center for Human Systems Immunology, Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
| | - Thomas Oguin
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
| | | | - Marcella Sarzotti-Kelsoe
- Center for Human Systems Immunology, Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
| | - Emmanuel B. Walter
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Pediatrics, Duke University, Durham, NC, United States
- Duke Global Health Institute, Duke University, Durham, NC, United States
| | - Hang Xie
- Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Marcela F. Pasetti
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, United States
- Center for Vaccine Development, University of Maryland School of Medicine, Baltimore, MD, United States
| | - M. Anthony Moody
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
- Department of Pediatrics, Duke University, Durham, NC, United States
| | - Georgia D. Tomaras
- Center for Human Systems Immunology, Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Duke University, Durham, NC, United States
- Department of Immunology, Duke University, Durham, NC, United States
- Duke Global Health Institute, Duke University, Durham, NC, United States
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8
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Einav T, Kosikova M, Radvak P, Kuo YC, Kwon HJ, Xie H. Mapping the Antibody Repertoires in Ferrets with Repeated Influenza A/H3 Infections: Is Original Antigenic Sin Really "Sinful"? Viruses 2023; 15:374. [PMID: 36851590 PMCID: PMC9959794 DOI: 10.3390/v15020374] [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: 01/01/2023] [Revised: 01/20/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
The influenza-specific antibody repertoire is continuously reshaped by infection and vaccination. The host immune response to contemporary viruses can be redirected to preferentially boost antibodies specific for viruses encountered early in life, a phenomenon called original antigenic sin (OAS) that is suggested to be responsible for diminished vaccine effectiveness after repeated seasonal vaccination. Using a new computational tool called Neutralization Landscapes, we tracked the progression of hemagglutination inhibition antibodies within ferret antisera elicited by repeated influenza A/H3 infections and deciphered the influence of prior exposures on the de novo antibody response to evolved viruses. The results indicate that a broadly neutralizing antibody signature can nevertheless be induced by repeated exposures despite OAS induction. Our study offers a new way to visualize how immune history shapes individual antibodies within a repertoire, which may help to inform future universal influenza vaccine design.
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Affiliation(s)
- Tal Einav
- Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Martina Kosikova
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Peter Radvak
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Yuan-Chia Kuo
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Hyung Joon Kwon
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Hang Xie
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD 20993, USA
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9
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Chiba S, Hatta M, Pattinson D, Yasuhara A, Neumann G, Kawaoka Y. Ferret model to mimic the sequential exposure of humans to historical H3N2 influenza viruses. Vaccine 2023; 41:590-597. [PMID: 36517323 DOI: 10.1016/j.vaccine.2022.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 12/04/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022]
Abstract
Mutations accumulate in influenza A virus proteins, especially in the main epitopes on the virus surface glycoprotein hemagglutinin (HA). For influenza A(H3N2) viruses, in particular, the antigenicity of their HA has altered since their emergence in 1968, requiring changes of vaccine strains every few years. Most adults have been exposed to several antigenically divergent H3N2 viruses through infection and/or vaccination, and those exposures affect the immune responses of those individuals. However, animal models reflecting this 'immune history' in humans are lacking and naïve animals are generally used for vaccination and virus challenge studies. Here, we describe a ferret model to mimic the serial exposure of humans to antigenically different historical H3HA proteins. In this model, ferrets were sequentially immunized with adjuvanted recombinant H3HA proteins from two or three different H3HA antigenic clusters in chronological order, and serum neutralizing antibody titers were examined against the homologous virus and viruses from different antigenic clusters. For ferrets immunized with a single HA antigen, serum neutralizing antibody titers were elevated specifically against the homologous virus. However, after immunization with the second or third antigenically distinct HA antigen in chronological order, the ferrets showed an increase in more broadly cross-reactive neutralizing titers against the antigenically distinct viruses and against the homologous virus. Sequentially immunized animals challenged with an antigenically advanced H3N2 virus showed attenuated virus growth and less body temperature increase compared with naïve animals. These results suggest that sequential exposure to antigenically different HAs elicits broader neutralizing activity in sera and enhances immune responses against more antigenically distinct viruses Our findings may partly explain why adults who have been exposed to antigenically divergent HAs are less likely to be infected with influenza virus and have severe symptoms than children.
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Affiliation(s)
- Shiho Chiba
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, WI 53711, USA
| | - Masato Hatta
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, WI 53711, USA
| | - David Pattinson
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, WI 53711, USA
| | - Atsuhiro Yasuhara
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan
| | - Gabriele Neumann
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, WI 53711, USA
| | - Yoshihiro Kawaoka
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, WI 53711, USA; Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan; The Research Center for Global Viral Diseases, National Center for Global Health and Medicine Research Institute, Tokyo 162-8655, Japan.
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10
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Kwon HJ, Kosikova M, Tang W, Ortega-Rodriguez U, Radvak P, Xiang R, Mercer KE, Muskhelishvili L, Davis K, Ward JM, Kosik I, Holly J, Kang I, Yewdell JW, Plant EP, Chen WH, Shriver MC, Barnes RS, Pasetti MF, Zhou B, Wentworth DE, Xie H. Enhanced virulence and waning vaccine-elicited antibodies account for breakthrough infections caused by SARS-CoV-2 delta and beyond. iScience 2022; 25:105507. [PMID: 36373096 PMCID: PMC9635945 DOI: 10.1016/j.isci.2022.105507] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/05/2022] [Accepted: 11/01/2022] [Indexed: 11/08/2022] Open
Abstract
Here we interrogate the factors responsible for SARS-CoV-2 breakthrough infections in a K18-hACE2 transgenic mouse model. We show that Delta and the closely related Kappa variant cause viral pneumonia and severe lung lesions in K18-hACE2 mice. Human COVID-19 mRNA post-vaccination sera after the 2nd dose are significantly less efficient in neutralizing Delta/Kappa than early 614G virus in vitro and in vivo. By 5 months post-vaccination, ≥50% of donors lack detectable neutralizing antibodies against Delta and Kappa and all mice receiving 5-month post-vaccination sera die after the lethal challenges. Although a 3rd vaccine dose can boost antibody neutralization against Delta in vitro and in vivo, the mean log neutralization titers against the latest Omicron subvariants are 1/3-1/2 of those against the original 614D virus. Our results suggest that enhanced virulence, greater immune evasion, and waning of vaccine-elicited protection account for SARS-CoV-2 variants caused breakthrough infections.
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Affiliation(s)
- Hyung-Joon Kwon
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Martina Kosikova
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Weichun Tang
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Uriel Ortega-Rodriguez
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Peter Radvak
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Ruoxuan Xiang
- Division of Biostatistics, Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Kelly E. Mercer
- Biomarkers and Alternative Models Branch, National Center for Toxicological Research, United States Food and Drug Administration, Jefferson, AR, USA
| | | | - Kelly Davis
- Toxicologic Pathology Associates, Jefferson, AR, USA
| | | | - Ivan Kosik
- Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Jaroslav Holly
- Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Insung Kang
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Jonathan W. Yewdell
- Laboratory of Viral Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Ewan P. Plant
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
| | - Wilbur H. Chen
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mallory C. Shriver
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Robin S. Barnes
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Marcela F. Pasetti
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bin Zhou
- CDC COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - David E. Wentworth
- CDC COVID-19 Response, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Hang Xie
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, USA
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11
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Ardicli O, Carli KT, Satitsuksanoa P, Dreher A, Cusini A, Hutter S, Mirer D, Rückert B, Jonsdottir H, Weber B, Cervia C, Akdis M, Boyman O, Eggel A, Brüggen M, Akdis C, van de Veen W. Exposure to avian coronavirus vaccines is associated with increased levels of SARS-CoV-2-cross-reactive antibodies. Allergy 2022; 77:3648-3662. [PMID: 35869837 PMCID: PMC9467642 DOI: 10.1111/all.15441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 07/01/2022] [Accepted: 07/09/2022] [Indexed: 01/28/2023]
Abstract
BACKGROUND Although avian coronavirus infectious bronchitis virus (IBV) and SARS-CoV-2 belong to different genera of the Coronaviridae family, exposure to IBV may result in the development of cross-reactive antibodies to SARS-CoV-2 due to homologous epitopes. We aimed to investigate whether antibody responses to IBV cross-react with SARS-CoV-2 in poultry farm personnel who are occupationally exposed to aerosolized IBV vaccines. METHODS We analyzed sera from poultry farm personnel, COVID-19 patients, and pre-pandemic controls. IgG levels against the SARS-CoV-2 antigens S1, RBD, S2, and N and peptides corresponding to the SARS-CoV-2 ORF3a, N, and S proteins as well as whole virus antigens of the four major S1-genotypes 4/91, IS/1494/06, M41, and D274 of IBV were investigated by in-house ELISAs. Moreover, live-virus neutralization test (VNT) was performed. RESULTS A subgroup of poultry farm personnel showed elevated levels of specific IgG for all tested SARS-CoV-2 antigens compared with pre-pandemic controls. Moreover, poultry farm personnel, COVID-19 patients, and pre-pandemic controls showed specific IgG antibodies against IBV strains. These antibody titers were higher in long-term vaccine implementers. We observed a strong correlation between IBV-specific IgG and SARS-CoV-2 S1-, RBD-, S2-, and N-specific IgG in poultry farm personnel compared with pre-pandemic controls and COVID-19 patients. However, no neutralization was observed for these cross-reactive antibodies from poultry farm personnel using the VNT. CONCLUSION We report here for the first time the detection of cross-reactive IgG antibodies against SARS-CoV-2 antigens in humans exposed to IBV vaccines. These findings may be useful for further studies on the adaptive immunity against COVID-19.
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Affiliation(s)
- Ozge Ardicli
- Swiss Institute of Allergy and Asthma Research (SIAF)University of ZurichDavosSwitzerland
- Department of Microbiology, Faculty of Veterinary MedicineBursa Uludag UniversityBursaTurkey
| | - K. Tayfun Carli
- Department of Microbiology, Faculty of Veterinary MedicineBursa Uludag UniversityBursaTurkey
| | | | - Anita Dreher
- Christine Kühne‐Center for Allergy Research and Education (CK‐CARE)DavosSwitzerland
| | - Alexia Cusini
- Division of Infectious DiseasesCantonal Hospital of GrisonsChurSwitzerland
| | - Sandra Hutter
- Central LaboratoryCantonal Hospital of GrisonsChurSwitzerland
| | - David Mirer
- Swiss Institute of Allergy and Asthma Research (SIAF)University of ZurichDavosSwitzerland
| | - Beate Rückert
- Swiss Institute of Allergy and Asthma Research (SIAF)University of ZurichDavosSwitzerland
| | - Hulda R. Jonsdottir
- Spiez Laboratory, Federal Office for Civil ProtectionSpiezSwitzerland
- Department of Rheumatology, Immunology, and AllergologyInselspital University HospitalBernSwitzerland
- Department of BioMedical ResearchUniversity of BernBernSwitzerland
| | - Benjamin Weber
- Spiez Laboratory, Federal Office for Civil ProtectionSpiezSwitzerland
| | - Carlo Cervia
- Department of ImmunologyUniversity Hospital ZurichZurichSwitzerland
| | - Mubeccel Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF)University of ZurichDavosSwitzerland
| | - Onur Boyman
- Department of ImmunologyUniversity Hospital ZurichZurichSwitzerland
- Faculty of MedicineUniversity of ZurichZurichSwitzerland
| | - Alexander Eggel
- Department of Rheumatology, Immunology, and AllergologyInselspital University HospitalBernSwitzerland
- Department of BioMedical ResearchUniversity of BernBernSwitzerland
| | - Marie‐Charlotte Brüggen
- Christine Kühne‐Center for Allergy Research and Education (CK‐CARE)DavosSwitzerland
- Faculty of MedicineUniversity of ZurichZurichSwitzerland
- Department of DermatologyUniversity Hospital ZurichZurichSwitzerland
| | - Cezmi A. Akdis
- Swiss Institute of Allergy and Asthma Research (SIAF)University of ZurichDavosSwitzerland
- Christine Kühne‐Center for Allergy Research and Education (CK‐CARE)DavosSwitzerland
| | - Willem van de Veen
- Swiss Institute of Allergy and Asthma Research (SIAF)University of ZurichDavosSwitzerland
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12
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Extrapolating missing antibody-virus measurements across serological studies. Cell Syst 2022; 13:561-573.e5. [PMID: 35798005 DOI: 10.1016/j.cels.2022.06.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 05/03/2022] [Accepted: 06/10/2022] [Indexed: 01/25/2023]
Abstract
The development of new vaccines, as well as our understanding of key processes that shape viral evolution and host antibody repertoires, relies on measuring multiple antibody responses against large panels of viruses. Given the enormous diversity of circulating virus strains and antibody responses, comprehensively testing all antibody-virus interactions is infeasible. Even within individual studies with limited panels, exhaustive testing is not always performed, and there is no common framework for combining information across studies with partially overlapping panels, especially when the assay type or host species differ. Prior studies have demonstrated that antibody-virus interactions can be characterized in a vastly simpler and lower dimensional space, suggesting that relatively few measurements could predict unmeasured antibody-virus interactions. Here, we apply matrix completion to several large-scale influenza and HIV-1 studies. We explore how prediction accuracy evolves as the number of measurements changes and approximates the number of additional measurements necessary in several highly incomplete datasets (suggesting ∼250,000 measurements could be saved). In addition, we show how the method can combine disparate datasets, even when the number of available measurements is below the theoretical limit that guarantees successful prediction. This approach can be readily generalized to other viruses or more broadly to other low-dimensional biological datasets.
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13
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Li L, Lan LYL, Huang L, Ye C, Andrade J, Wilson PC. Selecting Representative Samples From Complex Biological Datasets Using K-Medoids Clustering. Front Genet 2022; 13:954024. [PMID: 35910222 PMCID: PMC9335369 DOI: 10.3389/fgene.2022.954024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Rapid growth of single-cell sequencing techniques enables researchers to investigate almost millions of cells with diverse properties in a single experiment. Meanwhile, it also presents great challenges for selecting representative samples from massive single-cell populations for further experimental characterization, which requires a robust and compact sampling with balancing diverse properties of different priority levels. The conventional sampling methods fail to generate representative and generalizable subsets from a massive single-cell population or more complicated ensembles. Here, we present a toolkit called Cookie which can efficiently select out the most representative samples from a massive single-cell population with diverse properties. This method quantifies the relationships/similarities among samples using their Manhattan distances by vectorizing all given properties and then determines an appropriate sample size by evaluating the coverage of key properties from multiple candidate sizes, following by a k-medoids clustering to group samples into several clusters and selects centers from each cluster as the most representatives. Comparison of Cookie with conventional sampling methods using a single-cell atlas dataset, epidemiology surveillance data, and a simulated dataset shows the high efficacy, efficiency, and flexibly of Cookie. The Cookie toolkit is implemented in R and is freely available at https://wilsonimmunologylab.github.io/Cookie/.
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Affiliation(s)
- Lei Li
- University of Chicago Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, United States
- Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, United States
| | - Linda Yu-Ling Lan
- University of Chicago Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, United States
- Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, United States
| | - Lei Huang
- Center for Research Informatics, University of Chicago, Chicago, IL, United States
| | - Congting Ye
- Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, China
| | - Jorge Andrade
- Center for Research Informatics, University of Chicago, Chicago, IL, United States
- Department of Pediatrics, University of Chicago, Chicago, IL, United States
| | - Patrick C. Wilson
- University of Chicago Department of Medicine, Section of Rheumatology, University of Chicago, Chicago, IL, United States
- Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, United States
- *Correspondence: Patrick C. Wilson,
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14
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Jennewein MF, Kosikova M, Noelette FJ, Radvak P, Boudreau CM, Campbell JD, Chen WH, Xie H, Alter G, Pasetti MF. Functional and structural modifications of influenza antibodies during pregnancy. iScience 2022; 25:104088. [PMID: 35402869 PMCID: PMC8991102 DOI: 10.1016/j.isci.2022.104088] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 10/14/2021] [Accepted: 03/14/2022] [Indexed: 12/17/2022] Open
Abstract
Pregnancy represents a unique tolerogenic immune state which may alter susceptibility to infection and vaccine response. Here, we characterized humoral immunity to seasonal influenza vaccine strains in pregnant and non-pregnant women. Although serological responses to influenza remained largely intact during late pregnancy, distinct modifications were observed. Pregnant women had reduced hemagglutinin subtype-1 (H1)- IgG, IgG1, IgG2, and IgG3, hemagglutination inhibition, and group 1 and 2 stem IgG titers. Intriguingly, H1-specific avidity and FcγR1 binding increased, and influenza antibodies had distinct Fc and Fab glycans characterized by increased di-galactosylation and di-sialylation. H1-specific Fc-functionality (i.e. monocyte phagocytosis and complement deposition) was moderately reduced in pregnancy. Multivariate antibody analysis revealed two distinct populations (pregnant vs. non-pregnant) segregated by H1 FcγR1 binding, H1-IgG levels, and Fab and Fc glycosylation. Our results demonstrated a structural and functional modulation of influenza humoral immunity during pregnancy that was antigen-specific and consistent with reduced inflammation and efficient placental transport.
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Affiliation(s)
| | - Martina Kosikova
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, USA
| | | | - Peter Radvak
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, USA
| | | | - James D. Campbell
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Wilbur H. Chen
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Hang Xie
- Laboratory of Pediatric and Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD 20993, USA
| | - Galit Alter
- The Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Marcela F. Pasetti
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD 21201, USA
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15
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Li L, Changrob S, Fu Y, Stovicek O, Guthmiller JJ, McGrath JJC, Dugan HL, Stamper CT, Zheng NY, Huang M, Wilson PC. Librator: a platform for the optimized analysis, design, and expression of mutable influenza viral antigens. Brief Bioinform 2022; 23:6532539. [PMID: 35183062 PMCID: PMC8921739 DOI: 10.1093/bib/bbac028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/14/2022] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
Artificial mutagenesis and protein engineering have laid the foundation for antigenic characterization and universal vaccine design for influenza viruses. However, many methods used in this process require manual sequence editing and protein expression, limiting their efficiency and utility in high-throughput applications. More streamlined in silico tools allowing researchers to properly analyze and visualize influenza viral protein sequences with accurate nomenclature are necessary to improve antigen design and productivity. To address this need, we developed Librator, a system for analyzing and designing custom protein sequences of influenza virus hemagglutinin (HA) and neuraminidase (NA) glycoproteins. Within Librator's graphical interface, users can easily interrogate viral sequences and phylogenies, visualize antigen structures and conservation, mutate target residues and design custom antigens. Librator also provides optimized fragment design for Gibson Assembly of HA and NA expression constructs based on peptide conservation of all historical HA and NA sequences, ensuring fragments are reusable and compatible across related subtypes, thereby promoting reagent savings. Finally, the program facilitates single-cell immune profiling, epitope mapping of monoclonal antibodies and mosaic protein design. Using Librator-based antigen construction, we demonstrate that antigenicity can be readily transferred between HA molecules of H3, but not H1, lineage viruses. Altogether, Librator is a valuable tool for analyzing influenza virus HA and NA proteins and provides an efficient resource for optimizing recombinant influenza antigen synthesis.
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Affiliation(s)
| | | | | | - Olivia Stovicek
- Section of Rheumatology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Jenna J Guthmiller
- Section of Rheumatology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Joshua J C McGrath
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Haley L Dugan
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
| | | | - Nai-Ying Zheng
- Section of Rheumatology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA,Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Min Huang
- Section of Rheumatology, Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Patrick C Wilson
- Corresponding author: Patrick C. Wilson, Drukier Institute for Children’s Health, Weill Cornell Medicine, New York, NY 10021, USA. E-mail:
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16
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SARS-CoV-2 B.1.1.7 (alpha) and B.1.351 (beta) variants induce pathogenic patterns in K18-hACE2 transgenic mice distinct from early strains. Nat Commun 2021; 12:6559. [PMID: 34772941 PMCID: PMC8589842 DOI: 10.1038/s41467-021-26803-w] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 10/18/2021] [Indexed: 12/21/2022] Open
Abstract
SARS-CoV-2 variants of concern (VOC) B.1.1.7 (alpha) and B.1.351 (beta) show increased transmissibility and enhanced antibody neutralization resistance. Here we demonstrate in K18-hACE2 transgenic mice that B.1.1.7 and B.1.351 are 100-fold more lethal than the original SARS-CoV-2 bearing 614D. B.1.1.7 and B.1.351 cause more severe organ lesions in K18-hACE2 mice than early SARS-CoV-2 strains bearing 614D or 614G, with B.1.1.7 and B.1.351 infection resulting in distinct tissue-specific cytokine signatures, significant D-dimer depositions in vital organs and less pulmonary hypoxia signaling before death. However, K18-hACE2 mice with prior infection of early SARS-CoV-2 strains or intramuscular immunization of viral spike or receptor binding domain are resistant to the lethal reinfection of B.1.1.7 or B.1.351, despite having reduced neutralization titers against these VOC than early strains. Our results thus distinguish pathogenic patterns in K18-hACE2 mice caused by B.1.1.7 and B.1.351 infection from those induced by early SARS-CoV-2 strains, and help inform potential medical interventions for combating COVID-19. Mutant SARS-CoV-2 strains such as B.1.1.7 and B.1.351 have been termed variants of concerns (VoC) due to their enhanced virulence. Here the authors show, using K18-hACE2 transgenic mouse models, that these two VoCs are also more pathogenic in mice, and induce immunity and pathology distinct from those from the earlier variants.
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17
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Abreu RB, Kirchenbaum GA, Sautto GA, Clutter EF, Ross TM. Impaired memory B-cell recall responses in the elderly following recurrent influenza vaccination. PLoS One 2021; 16:e0254421. [PMID: 34351920 PMCID: PMC8341655 DOI: 10.1371/journal.pone.0254421] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 06/25/2021] [Indexed: 01/13/2023] Open
Abstract
Influenza is a highly contagious viral respiratory disease that affects million of people worldwide each year. Annual vaccination is recommended by the World Health Organization with the goal of reducing influenza severity and limiting transmission through elicitation of antibodies targeting the hemagglutinin (HA) glycoprotein. The antibody response elicited by current seasonal influenza virus vaccines is predominantly strain-specific, but pre-existing influenza virus immunity can greatly impact the serological antibody response to vaccination. However, it remains unclear how B cell memory is shaped by recurrent annual vaccination over the course of multiple seasons, especially in high-risk elderly populations. Here, we systematically profiled the B cell response in young adult (18-34 year old) and elderly (65+ year old) vaccine recipients that received annual split inactivated influenza virus vaccination for 3 consecutive seasons. Specifically, the antibody serological and memory B-cell compartments were profiled for reactivity against current and historical influenza A virus strains. Moreover, multiparametric analysis and antibody landscape profiling revealed a transient increase in strain-specific antibodies in the elderly, but with an impaired recall response of pre-existing memory B-cells, plasmablast (PB) differentiation and long-lasting serological changes. This study thoroughly profiles and compares the immune response to recurrent influenza virus vaccination in young and elderly participants unveiling the pitfalls of current influenza virus vaccines in high-risk populations.
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Affiliation(s)
- Rodrigo B. Abreu
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
| | - Greg A. Kirchenbaum
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
- Department of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America
| | - Giuseppe A. Sautto
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
| | - Emily F. Clutter
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
| | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
- Department of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America
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18
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Xie H, Xiang R, Wan HJ, Plant EP, Radvak P, Kosikova M, Li X, Zoueva O, Ye Z, Wan XF. Reduced Influenza B-Specific Postvaccination Antibody Cross-reactivity in the B/Victoria Lineage-Predominant 2019/20 Season. Clin Infect Dis 2021; 72:e776-e783. [PMID: 32990724 PMCID: PMC8315234 DOI: 10.1093/cid/ciaa1481] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 09/25/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The influenza activity of the 2019/20 season remained high and widespread in the United States with type B viruses predominating the early season. The majority of B viruses characterized belonged to B/Victoria (B/Vic) lineage and contained a triple deletion of amino acid (aa) 162-164 in hemagglutinin (3DEL). These 3DEL viruses are antigenically distinct from B/Colorado/06/2017 (CO/06)-the B/Vic vaccine component of the 2018/19 and 2019/20 seasons representing the viruses with a double deletion of aa 162-163 in hemagglutinin (2DEL). METHODS We performed molecular characterization and phylogenetic analysis of circulating B/Vic viruses. We also conducted hemagglutination inhibition (HAI) assay using archived human postvaccination sera collected from healthy subjects administered with different types of 2018/19 or 2019/20 seasonal vaccines. Their HAI cross-reactivity to representative 3DEL viruses was analyzed. RESULTS The CO/06-specific human postvaccination sera, after being adjusted for vaccine type, had significantly reduced HAI cross-reactivity toward representative 3DEL viruses, especially the 136E+150K subgroup. The geometric mean titers against 3DEL viruses containing 136E+150K mutations were 1.6-fold lower in all populations (P = .051) and 1.9-fold lower in adults (P = .016) compared with those against the 136E+150N viruses. CONCLUSIONS Our results indicate that postvaccination antibodies induced by the B/Vic vaccine component of the 2019/20 influenza season had reduced HAI cross-reactivity toward predominant 3DEL viruses in the United States. A close monitoring of the 3DEL 136E+150K subgroup is warranted should this subgroup return and predominate the 2020/21 influenza season.
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Affiliation(s)
- Hang Xie
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Ruoxuan Xiang
- Division of Biostatistics, Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Hamilton J Wan
- Center for Research on Influenza Systems Biology (CRISB), University of Missouri, Columbia, Missouri, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Ewan P Plant
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Peter Radvak
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Martina Kosikova
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Xing Li
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Olga Zoueva
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Zhiping Ye
- Laboratory of Respiratory Viral Diseases, Division of Viral Products, Office of Vaccines Research and Review, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Xiu-Feng Wan
- Center for Research on Influenza Systems Biology (CRISB), University of Missouri, Columbia, Missouri, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, Columbia, Missouri, USA
- Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri, USA
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19
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Rioux M, Francis ME, Swan CL, Ge A, Kroeker A, Kelvin AA. The Intersection of Age and Influenza Severity: Utility of Ferrets for Dissecting the Age-Dependent Immune Responses and Relevance to Age-Specific Vaccine Development. Viruses 2021; 13:678. [PMID: 33920917 PMCID: PMC8071347 DOI: 10.3390/v13040678] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 04/09/2021] [Accepted: 04/11/2021] [Indexed: 02/06/2023] Open
Abstract
Many factors impact the host response to influenza virus infection and vaccination. Ferrets have been an indispensable reagent for influenza virus research for almost one hundred years. One of the most significant and well-known factors affecting human disease after infection is host age. Another significant factor is the virus, as strain-specific disease severity is well known. Studying age-related impacts on viral infection and vaccination outcomes requires an animal model that reflects both the physiological and immunological changes that occur with human aging, and sensitivity to differentially virulent influenza viruses. The ferret is uniquely susceptible to a plethora of influenza viruses impacting humans and has proven extremely useful in studying the clinical and immunological pictures of influenza virus infection. Moreover, ferrets developmentally have several of the age-related physiological changes that occur in humans throughout infancy, adulthood, old age, and pregnancy. In this review, we discuss ferret susceptibility to influenza viruses, summarize previous influenza studies using ferrets as models of age, and finally, highlight the application of ferret age models in the pursuit of prophylactic and therapeutic agents to address age-related influenza disease severity.
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Affiliation(s)
- Melissa Rioux
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, NS B3H4R2, Canada; (M.R.); (A.G.)
| | - Magen E. Francis
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK S7N5E3, Canada; (M.E.F.); (C.L.S.); (A.K.)
| | - Cynthia L. Swan
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK S7N5E3, Canada; (M.E.F.); (C.L.S.); (A.K.)
| | - Anni Ge
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, NS B3H4R2, Canada; (M.R.); (A.G.)
| | - Andrea Kroeker
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK S7N5E3, Canada; (M.E.F.); (C.L.S.); (A.K.)
| | - Alyson A. Kelvin
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, NS B3H4R2, Canada; (M.R.); (A.G.)
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, SK S7N5E3, Canada; (M.E.F.); (C.L.S.); (A.K.)
- Department of Pediatrics, Division of Infectious Disease, Faculty of Medicine, Dalhousie University, Halifax, NS B3K6R8, Canada
- The Canadian Center for Vaccinology (IWK Health Centre, Dalhousie University and the Nova Scotia Health Authority), Halifax, NS B3K6R8, Canada
- Department of Biochemistry, College of Medicine, University of Saskatchewan, 107 Wiggins Road, Saskatoon, SK S7N5E5, Canada
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20
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Highly pathogenic avian influenza A/Guangdong/17SF003/2016 is immunogenic and induces cross-protection against antigenically divergent H7N9 viruses. NPJ Vaccines 2021; 6:30. [PMID: 33637737 PMCID: PMC7910538 DOI: 10.1038/s41541-021-00295-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/05/2021] [Indexed: 01/18/2023] Open
Abstract
Avian influenza A(H7N9) epidemics have a fatality rate of approximately 40%. Previous studies reported that low pathogenic avian influenza (LPAI)-derived candidate vaccine viruses (CVVs) are poorly immunogenic. Here, we assess the immunogenicity and efficacy of a highly pathogenic avian influenza (HPAI) A/Guangdong/17SF003/2016 (GD/16)-extracted hemagglutinin (eHA) vaccine. GD/16 eHA induces robust H7-specific antibody responses in mice with a marked adjuvant antigen-sparing effect. Mice immunized with adjuvanted GD/16 eHA are protected from the lethal LPAI and HPAI H7N9 challenges, in stark contrast to low antibody titers and high mortality in mice receiving adjuvanted LPAI H7 eHAs. The protection correlates well with the magnitude of the H7-specific antibody response (IgG and microneutralization) or HA group 2 stem-specific IgG. Inclusion of adjuvanted GD/16 eHA in heterologous prime-boost improves the immunogenicity and protection of LPAI H7 HAs in mice. Our findings support the inclusion of GD/16-derived CVV in the pandemic preparedness vaccine stockpile.
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21
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Abstract
Influenza poses a significant disease burden on children worldwide, with high rates of hospitalization and substantial morbidity and mortality. Although the clinical presentation of influenza in children has similarities to that seen in adults, there are unique aspects to how children present with infection that are important to recognize. In addition, children play a significant role in viral transmission within communities. Growing evidence supports the idea that early influenza infection can uniquely establish lasting immunologic memory, making an understanding of how viral immunity develops in this population critical to better protect children from infection and to facilitate efforts to develop a more universally protective influenza vaccine.
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Affiliation(s)
- Jennifer Nayak
- Department of Pediatrics, Division of Pediatric Infectious Diseases, University of Rochester Medical Center, Rochester, New York 14642-0001, USA
| | - Gregory Hoy
- Medical Scientist Training Program, Medical School, University of Michigan, Ann Arbor, Michigan 48109-2029, USA
| | - Aubree Gordon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109-2029, USA
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22
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Sánchez de Prada L, Sanz Muñoz I, Castrodeza Sanz J, Ortiz de Lejarazu Leonardo R, Eiros Bouza JM. Adjuvanted Influenza Vaccines Elicits Higher Antibody Responses against the A(H3N2) Subtype than Non-Adjuvanted Vaccines. Vaccines (Basel) 2020; 8:E704. [PMID: 33255600 PMCID: PMC7712667 DOI: 10.3390/vaccines8040704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/17/2020] [Accepted: 11/20/2020] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND vaccination is the best approach to prevent influenza infections so far. Serological studies on the effect of different vaccine types are important to address vaccination campaigns and protect our population. In our study, we compared the serological response against influenza A subtypes using the non-adjuvanted influenza vaccine (NAIV) in adults and the elderly and the adjuvanted influenza vaccine (AIV) in the elderly. METHODS We performed a retrospective analysis by hemagglutination inhibition assay (HI) of serum samples right before and 28 days after seasonal influenza vaccination during the 1996-2017 seasons. CONCLUSIONS The AIV presents better performance against the A(H3N2) subtype in the elderly whereas the NAIV induces a better response against A(H1N1)pdm09 in the same group.
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Affiliation(s)
| | - Iván Sanz Muñoz
- Centro Nacional de Gripe de Valladolid, 47009 Valladolid, Spain; (I.S.M.); (R.O.d.L.L.); (J.M.E.B.)
| | | | | | - José María Eiros Bouza
- Centro Nacional de Gripe de Valladolid, 47009 Valladolid, Spain; (I.S.M.); (R.O.d.L.L.); (J.M.E.B.)
- Hospital Universitario Río Hortega de Valladolid, 47012 Valladolid, Spain
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23
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Kostoff RN, Kanduc D, Porter AL, Shoenfeld Y, Calina D, Briggs MB, Spandidos DA, Tsatsakis A. Vaccine- and natural infection-induced mechanisms that could modulate vaccine safety. Toxicol Rep 2020; 7:1448-1458. [PMID: 33110761 PMCID: PMC7581376 DOI: 10.1016/j.toxrep.2020.10.016] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 10/17/2020] [Indexed: 12/20/2022] Open
Abstract
A degraded/dysfunctional immune system appears to be the main determinant of serious/fatal reaction to viral infection (for COVID-19, SARS, and influenza alike). There are four major approaches being employed or considered presently to augment or strengthen the immune system, in order to reduce adverse effects of viral exposure. The three approaches that are focused mainly on augmenting the immune system are based on the concept that pandemics/outbreaks can be controlled/prevented while maintaining the immune-degrading lifestyles followed by much of the global population. The fourth approach is based on identifying and introducing measures aimed at strengthening the immune system intrinsically in order to minimize future pandemics/outbreaks. Specifically, the four measures are: 1) restricting exposure to virus; 2) providing reactive/tactical treatments to reduce viral load; 3) developing vaccines to prevent, or at least attenuate, the infection; 4) strengthening the immune system intrinsically, by a) identifying those factors that contribute to degrading the immune system, then eliminating/reducing them as comprehensively, thoroughly, and rapidly as possible, and b) replacing the eliminated factors with immune-strengthening factors. This paper focuses on vaccine safety. A future COVID-19 vaccine appears to be the treatment of choice at the national/international level. Vaccine development has been accelerated to achieve this goal in the relatively near-term, and questions have arisen whether vaccine safety has been/is being/will be compromised in pursuit of a shortened vaccine development time. There are myriad mechanisms related to vaccine-induced, and natural infection-induced, infections that could adversely impact vaccine effectiveness and safety. This paper summarizes many of those mechanisms.
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Affiliation(s)
- Ronald N. Kostoff
- Research Affiliate, School of Public Policy, Georgia Institute of Technology, Gainesville, VA, 20155, USA
| | - Darja Kanduc
- Department of Biosciences, Biotechnologies, and Biopharmaceutics, University of Bari, 70125 Bari, Italy
| | - Alan L. Porter
- School of Public Policy, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Search Technology, Inc., Peachtree Corners, GA, 30092, USA
| | - Yehuda Shoenfeld
- Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer 5265601, Israel
- I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation, Sechenov University, Moscow, Russia
| | - Daniela Calina
- Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
| | | | - Demetrios A. Spandidos
- Laboratory of Clinical Virology, Medical School, University of Crete, 71409, Heraklion, Greece
| | - Aristidis Tsatsakis
- I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation, Sechenov University, Moscow, Russia
- Department of Forensic Sciences and Toxicology, Faculty of Medicine, University of Crete, 71003 Heraklion, Greece
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Shannon I, White CL, Yang H, Nayak JL. Differences in Influenza-Specific CD4 T-Cell Mediated Immunity Following Acute Infection Versus Inactivated Vaccination in Children. J Infect Dis 2020; 223:2164-2173. [PMID: 33074330 DOI: 10.1093/infdis/jiaa664] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/16/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Early childhood influenza infections imprint influenza-specific immune memory, with most studies evaluating antibody specificity. In this study, we examined how infection versus inactivated influenza vaccination (IIV) establish pediatric CD4 T-cell mediated immunity to influenza and whether this poises the immune system to respond differently to IIV the following year. METHODS We tracked influenza-specific CD4 T-cell responses in 16 H3N2 infected and 28 IIV immunized children following both initial exposure and after cohorts were revaccinated with IIV the following fall. PBMCs were stimulated with peptide pools encompassing the translated regions of the H3 HA and NP proteins and were then stained to assess CD4 T-cell specificity and function. RESULTS Compared to IIV, infection primed a greater magnitude CD4 T-cell response specific for the infecting HA and NP proteins, with more robust NP-specific immunity persisting through year 2. Post infection, CD4 T cells preferentially produced combinations of cytokines that included interferon-γ. Interestingly, age-specific patterns in CD4 T-cell reactivity demonstrated the impact of multiple influenza exposures over time. CONCLUSIONS These data indicate that infection and vaccination differentially prime influenza-specific CD4 T-cell responses in early childhood, with these differences contributing to the lasting immunologic imprinting established following early influenza infection. CLINICAL TRIALS REGISTRATION NCT02559505.
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Affiliation(s)
- Ian Shannon
- Department of Pediatrics, Division of Infectious Diseases, University of Rochester Medical Center, Rochester, New York, USA
| | - Chantelle L White
- Department of Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, USA
| | - Hongmei Yang
- Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, USA
| | - Jennifer L Nayak
- Department of Pediatrics, Division of Infectious Diseases, University of Rochester Medical Center, Rochester, New York, USA
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25
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Powell LN, Bégué RE. Influenza Vaccine Effectiveness Among Children for the 2017-2018 Season. J Pediatric Infect Dis Soc 2020; 9:468-473. [PMID: 31774120 DOI: 10.1093/jpids/piz077] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Accepted: 10/18/2019] [Indexed: 01/20/2023]
Abstract
BACKGROUND The 2017-2018 influenza season was of high severity. Circulating influenza strains change periodically, making it important to determine vaccine effectiveness on an annual basis, especially for susceptible populations. The primary aim of our study was to estimate the effectiveness of the influenza vaccine among children. Secondary aims were to assess the effect of previous season vaccination and intraseasonal waning of immunity. METHODS Children 6 months to 17 years of age tested for influenza during the 2017-2018 season were included. Clinical charts were reviewed, and immunization status was confirmed via the Louisiana Immunization Registry. Influenza vaccine effectiveness (IVE) was estimated in a test-negative design by comparing vaccination status of influenza-positive vs influenza-negative cases. RESULTS A total of 3595 children were included, 26% of whom tested positive for influenza, mostly type A (79%); 15% had received an influenza vaccine prior to illness: 8% among the influenza-positive and 17% among influenza-negative cases (P <.0001). IVE for the 2017-2018 influenza season was 52% overall (95% confidence interval, 38%-62%), 49% for influenza A, and 60% for influenza B. While receiving current year (2017-2018) vaccine had the most effect, receiving the previous year (2016-2017) vaccine had a small benefit and no interference. We found no evidence of waning immunity of the vaccine for the 2017-2018 season. CONCLUSIONS IVE was moderate for children. Previous year vaccination had a small but significant benefit and there was no evidence of waning immunity in our cohort. Ongoing national and local surveillance is important to understand the benefit of influenza vaccination.
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Affiliation(s)
- Lauren N Powell
- Department of Pediatrics, Louisiana State University Health Sciences Center
| | - Rodolfo E Bégué
- Division of Pediatric Infectious Diseases, New Orleans, Louisiana
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26
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Young B, Sadarangani S, Haur SY, Yung CF, Barr I, Connolly J, Chen M, Wilder-Smith A. Semiannual Versus Annual Influenza Vaccination in Older Adults in the Tropics: An Observer-blind, Active-comparator-controlled, Randomized Superiority Trial. Clin Infect Dis 2020; 69:121-129. [PMID: 30277500 DOI: 10.1093/cid/ciy836] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 09/28/2018] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Antibody titres and vaccine effectiveness decline within 6 months after influenza vaccination in older adults. Biannual vaccination may be necessary to provide year-round protection in the tropics, where influenza circulates throughout the year. METHODS Tropical Influenza Control Strategies (TROPICS1) was a single-center, 1:1 randomized, observer-blinded, active-comparator-controlled, superiority study in 200 community-resident adults aged ≥65 years. Participants received a standard-dose trivalent inactivated influenza vaccination (IIV3) at enrollment, and either tetanus-diphtheria-pertussis vaccination or IIV3 6 months later. The primary outcome was the proportion of participants with haemagglutination-inhibition (HI) geometric mean titre (GMT) ≥1:40 1 month after the second vaccination (month 7). Secondary outcomes included GMTs to month 12, the incidence of influenza-like illness (ILI), and adverse reactions after vaccination. RESULTS At month 7, the proportion of participants with an HI tire ≥1:40 against A/H1N1 increased by 21.4% (95% confidence interval [CI] 8.6-33.4) in the semiannual vaccination group. This proportion was not significantly higher for A/H3N2 (4.3, 95% CI -1.1-10.8) or B (2.1, 95% CI -2.0-7.3). Semiannual vaccination significantly increased GMTs against A/H1N1 and A/H3N2, but not B, at month 7. Participants receiving a repeat vaccination of IIV3 reported a significantly lower incidence of ILI in the 6 months after the second vaccination (relative vaccine effectiveness 57.1%, 95% CI 0.6-81.5). The frequency of adverse events was similar after the first and second influenza vaccinations. CONCLUSIONS Semiannual influenza vaccination in older residents of tropical countries has the potential to improve serological measures of protection against infection. Alternative vaccination strategies should also be studied. CLINICAL TRIALS REGISTRATION NCT02655874.
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Affiliation(s)
- Barnaby Young
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital.,Lee Kong Chian School of Medicine, Nanyang Technological University
| | - Sapna Sadarangani
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital.,Lee Kong Chian School of Medicine, Nanyang Technological University
| | - Sen Yew Haur
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital
| | - Chee Fu Yung
- Infectious Disease Service, KK Women's and Children's Hospital, Singapore
| | - Ian Barr
- World Health Organization Collaborating Centre for Reference and Research on Influenza, Melbourne.,Department of Microbiology and Immunology, The University of Melbourne, Parkville.,Faculty of Science and Technology, Federation University Australia, Gippsland Campus, Churchill, Victoria, Australia
| | - John Connolly
- Lee Kong Chian School of Medicine, Nanyang Technological University.,Institute of Molecular and Cellular Biology, Proteos
| | - Mark Chen
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital.,Saw Swee Hock School of Public Health, Tahir Foundation Building, National University of Singapore, Singapore
| | - Annelies Wilder-Smith
- Lee Kong Chian School of Medicine, Nanyang Technological University.,Institute of Public Health, University of Heidelberg, Germany
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Boukhvalova MS, Mortensen E, Mbaye A, McKay J, Blanco JCG. Effect of aging on immunogenicity and efficacy of inactivated influenza vaccines in cotton rats Sigmodon hispidus. Hum Vaccin Immunother 2020; 17:133-145. [PMID: 32614696 PMCID: PMC7872023 DOI: 10.1080/21645515.2020.1766334] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Inactivated influenza vaccines are known to be less immunogenic in human elderly in regards to serologic antibody response induced by vaccination. Accumulating evidence, however, points to a comparable effectiveness of influenza vaccines in the young and the elderly individuals. In the current study, we assessed immunogenicity and effectiveness of trivalent inactivated vaccine FluLaval in young and aged cotton rats Sigmodon hispidus and found that while serologic response to immunization was indeed reduced in older animals, comparable protection against influenza infection was afforded by prime-boost vaccination in both young and aged cotton rats. Both hemagglutination inhibition (HAI) titers and seroconversion rates were lower in the aged animals compared to the young ones. Reduction of viral load in the lung and nose, however, was comparable between young and aged animals vaccinated twice. One-time immunization with FluLaval was less efficacious at protecting the nose of aged animals, indicating that boosting of preexisting immunity can be particularly important for nasal protection in the elderly. Coincidentally, a one-time immunization with FluLaval had a detrimental effect on pulmonary pathology in the young animals, suggesting that boosting of immunity is essential for the young as well. Overall, these results suggest that reduced antibody response to and sufficient efficacy of influenza vaccines in the elderly are not two irreconcilable phenomena and that incomplete immunity to influenza can be detrimental at any age.
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Impact of Influenza on Pneumococcal Vaccine Effectiveness during Streptococcus pneumoniae Infection in Aged Murine Lung. Vaccines (Basel) 2020; 8:vaccines8020298. [PMID: 32545261 PMCID: PMC7349919 DOI: 10.3390/vaccines8020298] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/19/2020] [Accepted: 06/09/2020] [Indexed: 11/17/2022] Open
Abstract
Changes in innate and adaptive immune responses caused by viral imprinting can have a significant direct or indirect influence on secondary infections and vaccine responses. The purpose of our current study was to investigate the role of immune imprinting by influenza on pneumococcal vaccine effectiveness during Streptococcus pneumoniae infection in the aged murine lung. Aged adult (18 months) mice were vaccinated with the pneumococcal polyvalent vaccine Pneumovax (5 mg/mouse). Fourteen days post vaccination, mice were instilled with PBS or influenza A/PR8/34 virus (3.5 × 102 PFU). Control and influenza-infected mice were instilled with PBS or S. pneumoniae (1 × 103 CFU, ATCC 6303) on day 7 of infection and antibacterial immune responses were assessed in the lung. Our results illustrate that, in response to a primary influenza infection, there was diminished bacterial clearance and heightened production of pro-inflammatory cytokines, such as IL6 and IL1β. Vaccination with Pneumovax decreased pro-inflammatory cytokine production by modulating NFҡB expression; however, these responses were significantly diminished after influenza infection. Taken together, the data in our current study illustrate that immune imprinting by influenza diminishes pneumococcal vaccine efficacy and, thereby, may contribute to increased susceptibility of older persons to a secondary infection with S. pneumoniae.
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29
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Skarlupka AL, Ross TM. Immune Imprinting in the Influenza Ferret Model. Vaccines (Basel) 2020; 8:vaccines8020173. [PMID: 32276530 PMCID: PMC7348859 DOI: 10.3390/vaccines8020173] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 12/28/2022] Open
Abstract
The initial exposure to influenza virus usually occurs during childhood. This imprinting has long-lasting effects on the immune responses to subsequent infections and vaccinations. Animal models that are used to investigate influenza pathogenesis and vaccination do recapitulate the pre-immune history in the human population. The establishment of influenza pre-immune ferret models is necessary for understanding infection and transmission and for designing efficacious vaccines.
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Affiliation(s)
- Amanda L. Skarlupka
- Center for Vaccines and Immunology, University of Georgia, Athens, GA 30602, USA;
| | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA 30602, USA;
- Department of Infectious Diseases, University of Georgia, Athens, GA 30602, USA
- Correspondence: ; Tel.: +1-706-542-9708
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30
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Glatman-Freedman A, Pando R, Sefty H, Omer I, Rosenberg A, Drori Y, Nemet I, Mendelson E, Keinan-Boker L, Mandelboim M. Predominance of a Drifted Influenza A (H3N2) Clade and its Association with Age-specific Influenza Vaccine Effectiveness Variations, Influenza Season 2018-2019. Vaccines (Basel) 2020; 8:vaccines8010078. [PMID: 32050460 PMCID: PMC7157661 DOI: 10.3390/vaccines8010078] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 01/24/2020] [Accepted: 01/29/2020] [Indexed: 12/20/2022] Open
Abstract
Background: Influenza A (H3N2) clade 3C.3a was the predominant influenza virus in Israel throughout the 2018-2019 season, constituting a drift from the influenza A (H3N2) vaccine. We estimated the end-of season vaccine effectiveness (VE) by age, among community patients with influenza-like illness (ILI), considering the hemagglutinin (HA) gene mutations and amino acid substitutions of influenza A (H3N2) viruses detected. Methods: Nose-throat samples were analyzed for the presence of influenza virus, type/subtype, and HA gene sequence. HA gene sequences and amino acid substitutions were compared to the influenza A/Singapore/INFIMH-16-0019/2016 (H3N2)-like 2018-2019 vaccine virus, and a phylogenetic tree was generated. Influenza VE against influenza A (H3N2) was estimated using the test-negative design. VE was estimated by age group and by 15 year moving age intervals. Results: In total, 90% of the influenza A (H3N2) viruses belonged to the 3C.3a clade, constituting a unique situation in the northern hemisphere. Adjusted all-age influenza A (H3N2) VE was −3.5% (95% CI: −51.2 to 29.1). Although adjusted VEs were very low among infants, children, and young adults, a VE of 45% (95% CI: −19.2 to 74.6) was estimated among adults aged ≥45 years old. Conclusions: The higher VE point estimates among older adults may be related to previous exposure to similar influenza viruses.
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Affiliation(s)
- Aharona Glatman-Freedman
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Correspondence:
| | - Rakefet Pando
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Hanna Sefty
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Itay Omer
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Alina Rosenberg
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Yaron Drori
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Ital Nemet
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Ella Mendelson
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
- School of Public Health, University of Haifa, Haifa 3498838, Israel
| | - Michal Mandelboim
- School of Public Health, Tel Aviv University Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
- Central Virology Laboratory, Sheba Medical Center, Israel Ministry of Health, Tel Hashomer, Ramat Gan 5265601, Israel
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31
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Abreu RB, Kirchenbaum GA, Clutter EF, Sautto GA, Ross TM. Preexisting subtype immunodominance shapes memory B cell recall response to influenza vaccination. JCI Insight 2020; 5:132155. [PMID: 31794433 DOI: 10.1172/jci.insight.132155] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 11/20/2019] [Indexed: 02/06/2023] Open
Abstract
Influenza is a highly contagious viral pathogen with more than 200,000 cases reported in the United States during the 2017-2018 season. Annual vaccination is recommended by the World Health Organization, with the goal to reduce influenza severity and transmission. Currently available vaccines are about 60% effective, and vaccine effectiveness varies from season to season, as well as between different influenza subtypes within a single season. Immunological imprinting from early-life influenza infection can prominently shape the immune response to subsequent infections. Here, the impact of preexisting B cell memory in the response to quadrivalent influenza vaccine was assessed using blood samples collected from healthy subjects (18-85 years old) prior to and 21-28 days following influenza vaccination. Influenza vaccination increased both HA-specific antibodies and memory B cell frequency. Despite no apparent differences in antigenicity between vaccine components, most individuals were biased toward one of the vaccine strains. Specifically, responses to H3N2 were reduced in magnitude relative to the other vaccine components. Overall, this study unveils a potentially new mechanism underlying differential vaccine effectiveness against distinct influenza subtypes.
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Affiliation(s)
| | | | | | | | - Ted M Ross
- Center for Vaccines and Immunology and.,Department of Infectious Diseases, University of Georgia, Athens, Georgia, USA
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32
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Finch CL, Zhang A, Kosikova M, Kawano T, Pasetti MF, Ye Z, Ascher JR, Xie H. Pregnancy level of estradiol attenuated virus-specific humoral immune response in H5N1-infected female mice despite inducing anti-inflammatory protection. Emerg Microbes Infect 2019; 8:1146-1156. [PMID: 31364945 PMCID: PMC6711175 DOI: 10.1080/22221751.2019.1648184] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Estradiol, a major female steroid produced during pregnancy, has been reported to protect ovariectomized animals against H1N1 influenza infections via its anti-inflammatory effects. However, it remains unclear why pregnant women with high gestational estradiol levels are highly susceptible to influenza infections. This study was aimed to investigate the effects of pregnancy level of estradiol on female immunity against H5N1 infection in Balb/c mice. A sex-dependent susceptibility to H5N1 infection (higher morbidity and higher mortality) was observed in both pregnant and non-pregnant female mice as compared to male mice. Subcutaneous implantation of estradiol pellets increased serum estradiol concentrations of non-pregnant female mice to the pregnancy level. These mice were protected from H5N1 infection through downregulation of pulmonary pro-inflammatory cytokines. However, the production of virus-specific antibodies after infection was significantly delayed in estradiol-implanted mice when compared to placebos. Virus-specific IgG-secreting and IL-4-secreting cells were also reduced in estradiol-implanted mice. Similarly, lower antibody titers to seasonal vaccine antigens were found in pregnant women as compared to non-pregnant females without hormone usage. Our results indicate that estradiol levels equivalent to those found during pregnancy have divergent effects on female immunity against influenza, highlighting the importance of vaccination during pregnancy to prevent severe influenza infections.
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Affiliation(s)
- Courtney L Finch
- a Division of Viral Products, Center for Biologics Evaluation and Research, United States Food and Drug Administration , Silver Spring , MD , USA
| | - Anding Zhang
- a Division of Viral Products, Center for Biologics Evaluation and Research, United States Food and Drug Administration , Silver Spring , MD , USA
| | - Martina Kosikova
- a Division of Viral Products, Center for Biologics Evaluation and Research, United States Food and Drug Administration , Silver Spring , MD , USA
| | - Toshiaki Kawano
- a Division of Viral Products, Center for Biologics Evaluation and Research, United States Food and Drug Administration , Silver Spring , MD , USA
| | - Marcela F Pasetti
- b Department of Pediatrics, Center for Vaccine Development and Global Health, University of Maryland School of Medicine , Baltimore , MD , USA
| | - Zhiping Ye
- a Division of Viral Products, Center for Biologics Evaluation and Research, United States Food and Drug Administration , Silver Spring , MD , USA
| | - Jill R Ascher
- c Division of Veterinary Services, Center for Biologics Evaluation and Research, United States Food and Drug Administration , Silver Spring , MD , USA
| | - Hang Xie
- a Division of Viral Products, Center for Biologics Evaluation and Research, United States Food and Drug Administration , Silver Spring , MD , USA
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33
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Skowronski DM, Sabaiduc S, Leir S, Rose C, Zou M, Murti M, Dickinson JA, Olsha R, Gubbay JB, Croxen MA, Charest H, Bastien N, Li Y, Jassem A, Krajden M, De Serres G. Paradoxical clade- and age-specific vaccine effectiveness during the 2018/19 influenza A(H3N2) epidemic in Canada: potential imprint-regulated effect of vaccine (I-REV). Euro Surveill 2019; 24:1900585. [PMID: 31771709 PMCID: PMC6864978 DOI: 10.2807/1560-7917.es.2019.24.46.1900585] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 11/04/2019] [Indexed: 11/20/2022] Open
Abstract
IntroductionThe Canadian Sentinel Practitioner Surveillance Network reports vaccine effectiveness (VE) for the 2018/19 influenza A(H3N2) epidemic.AimTo explain a paradoxical signal of increased clade 3C.3a risk among 35-54-year-old vaccinees, we hypothesise childhood immunological imprinting and a cohort effect following the 1968 influenza A(H3N2) pandemic.MethodsWe assessed VE by test-negative design for influenza A(H3N2) overall and for co-circulating clades 3C.2a1b and 3C.3a. VE variation by age in 2018/19 was compared with amino acid variation in the haemagglutinin glycoprotein by year since 1968.ResultsInfluenza A(H3N2) VE was 17% (95% CI: -13 to 39) overall: 27% (95% CI: -7 to 50) for 3C.2a1b and -32% (95% CI: -119 to 21) for 3C.3a. Among 20-64-year-olds, VE was -7% (95% CI: -56 to 26): 6% (95% CI: -49 to 41) for 3C.2a1b and -96% (95% CI: -277 to -2) for 3C.3a. Clade 3C.3a VE showed a pronounced negative dip among 35-54-year-olds in whom the odds of medically attended illness were > 4-fold increased for vaccinated vs unvaccinated participants (p < 0.005). This age group was primed in childhood to influenza A(H3N2) viruses that for two decades following the 1968 pandemic bore a serine at haemagglutinin position 159, in common with contemporary 3C.3a viruses but mismatched to 3C.2a vaccine strains instead bearing tyrosine.DiscussionImprinting by the first childhood influenza infection is known to confer long-lasting immunity focused toward priming epitopes. Our findings suggest vaccine mismatch may negatively interact with imprinted immunity. The immunological mechanisms for imprint-regulated effect of vaccine (I-REV) warrant investigation.
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Affiliation(s)
- Danuta M Skowronski
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Suzana Sabaiduc
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Siobhan Leir
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Caren Rose
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Macy Zou
- British Columbia Centre for Disease Control, Vancouver, Canada
| | - Michelle Murti
- Public Health Ontario, Toronto, Canada
- University of Toronto, Toronto, Canada
| | | | | | - Jonathan B Gubbay
- Public Health Ontario, Toronto, Canada
- University of Toronto, Toronto, Canada
| | - Matthew A Croxen
- Alberta Precision Laboratories, Edmonton, Alberta
- University of Alberta, Edmonton, Canada
| | - Hugues Charest
- Institut National de Santé Publique du Québec, Québec, Canada
| | - Nathalie Bastien
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Yan Li
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Agatha Jassem
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Mel Krajden
- British Columbia Centre for Disease Control, Vancouver, Canada
- University of British Columbia, Vancouver, Canada
| | - Gaston De Serres
- Laval University, Quebec, Canada
- Centre Hospitalier Universitaire de Québec, Québec, Canada
- Institut National de Santé Publique du Québec, Québec, Canada
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34
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Kelvin AA, Zambon M. Influenza imprinting in childhood and the influence on vaccine response later in life. Euro Surveill 2019; 24:1900720. [PMID: 31796156 PMCID: PMC6891942 DOI: 10.2807/1560-7917.es.2019.24.48.1900720] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 11/27/2019] [Indexed: 12/13/2022] Open
Affiliation(s)
- Alyson A Kelvin
- Department of Pediatrics, Division of Infectious Disease, Faculty of Medicine, Dalhousie University, Halifax, Canada
- Canadian Centre for Vaccinology, IWK Health Centre, Halifax, Canada
| | - Maria Zambon
- National Infection Service, Public Health England, London, United Kingdom
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35
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Bonomo ME, Deem MW. Reply to Xu and Ye: On the Sufficiency of the Pepitope Method. Clin Infect Dis 2019; 68:347. [PMID: 29986011 DOI: 10.1093/cid/ciy561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Accepted: 07/06/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
- Melia E Bonomo
- Department of Physics and Astronomy, Rice University, Houston, Texas.,Center for Theoretical Biological Physics, Rice University, Houston, Texas
| | - Michael W Deem
- Department of Physics and Astronomy, Rice University, Houston, Texas.,Center for Theoretical Biological Physics, Rice University, Houston, Texas.,Department of Bioengineering, Rice University, Houston, Texas
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36
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Abstract
Introduction: High variance is associated with influenza vaccine effectiveness (VE). Accumulating evidence suggests that preexisting influenza-specific immunity results in the variance in VE and skews overall immune response to vaccination. Nevertheless, the investigation of preexisting immunity is highly limited due to the lack of proper methodology to explore the complex individual immune history.Areas covered: Retrospective observational studies have shown that the preexisting influenza specific immunity influences on VE. To simplify a discussion, we summarized important findings from the observational studies based on the transition of the individual immune history: the first exposure to influenza virus, the first vaccination, and repetitive exposure throughout life. We also discussed the prospectus of pre-immunized animal models to investigate the interaction between preexisting immunity and vaccine efficacy.Expert opinion: A better understanding in the underlying mechanisms on preexisting immunity is critical to improve VE and to help develop novel vaccine strategies. Using animals pre-immunized with historical influenza strains is a promising approach to verify the underlying immunologic mechanism of interaction between preexisting immunity and vaccine antigen. Also, pre-immunized animal models will be better able to evaluate the efficacy of novel vaccine strategies than naïve animals.
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Affiliation(s)
- Hyesun Jang
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA
| | - Ted M Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA.,Department of Infectious Diseases, University of Georgia, Athens, GA, USA
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37
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Historical H1N1 Influenza Virus Imprinting Increases Vaccine Protection by Influencing the Activity and Sustained Production of Antibodies Elicited at Vaccination in Ferrets. Vaccines (Basel) 2019; 7:vaccines7040133. [PMID: 31569351 PMCID: PMC6963198 DOI: 10.3390/vaccines7040133] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/18/2019] [Accepted: 09/23/2019] [Indexed: 12/20/2022] Open
Abstract
Influenza virus imprinting is now understood to significantly influence the immune responses and clinical outcome of influenza virus infections that occur later in life. Due to the yearly cycling of influenza viruses, humans are imprinted with the circulating virus of their birth year and subsequently build a complex influenza virus immune history. Despite this knowledge, little is known about how the imprinting strain influences vaccine responses. To investigate the immune responses of the imprinted host to split-virion vaccination, we imprinted ferrets with a sublethal dose of the historical seasonal H1N1 strain A/USSR/90/1977. After a +60-day recovery period to build immune memory, ferrets were immunized and then challenged on Day 123. Antibody specificity and recall were investigated throughout the time course. At challenge, the imprinted vaccinated ferrets did not experience significant disease, while naïve-vaccinated ferrets had significant weight loss. Haemagglutination inhibition assays showed that imprinted ferrets had a more robust antibody response post vaccination and increased virus neutralization activity. Imprinted-vaccinated animals had increased virus-specific IgG antibodies compared to the other experimental groups, suggesting B-cell maturity and plasticity at vaccination. These results should be considered when designing the next generation of influenza vaccines.
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38
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Hay JA, Laurie K, White M, Riley S. Characterising antibody kinetics from multiple influenza infection and vaccination events in ferrets. PLoS Comput Biol 2019; 15:e1007294. [PMID: 31425503 PMCID: PMC6715255 DOI: 10.1371/journal.pcbi.1007294] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 08/29/2019] [Accepted: 07/29/2019] [Indexed: 12/20/2022] Open
Abstract
The strength and breadth of an individual's antibody repertoire is an important predictor of their response to influenza infection or vaccination. Although progress has been made in understanding qualitatively how repeated exposures shape the antibody mediated immune response, quantitative understanding remains limited. We developed a set of mathematical models describing short-term antibody kinetics following influenza infection or vaccination and fit them to haemagglutination inhibition (HI) titres from 5 groups of ferrets which were exposed to different combinations of trivalent inactivated influenza vaccine (TIV with or without adjuvant), A/H3N2 priming inoculation and post-vaccination A/H1N1 inoculation. We fit models with various immunological mechanisms that have been empirically observed but have not previously been included in mathematical models of antibody landscapes, including: titre ceiling effects, antigenic seniority and exposure-type specific cross reactivity. Based on the parameter estimates of the best supported models, we describe a number of key immunological features. We found quantifiable differences in the degree of homologous and cross-reactive antibody boosting elicited by different exposure types. Infection and adjuvanted vaccination generally resulted in strong, broadly reactive responses whereas unadjuvanted vaccination resulted in a weak, narrow response. We found that the order of exposure mattered: priming with A/H3N2 improved subsequent vaccine response, and the second dose of adjuvanted vaccination resulted in substantially greater antibody boosting than the first. Either antigenic seniority or a titre ceiling effect were included in the two best fitting models, suggesting a role for a mechanism describing diminishing antibody boosting with repeated exposures. Although there was considerable uncertainty in our estimates of antibody waning parameters, our results suggest that both short and long term waning were present and would be identifiable with a larger set of experiments. These results highlight the potential use of repeat exposure animal models in revealing short-term, strain-specific immune dynamics of influenza.
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MESH Headings
- Adjuvants, Immunologic/administration & dosage
- Animals
- Antibodies, Viral/blood
- Computational Biology
- Cross Reactions
- Disease Models, Animal
- Ferrets/immunology
- Humans
- Immunization, Secondary
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza A Virus, H3N2 Subtype/immunology
- Influenza Vaccines/administration & dosage
- Influenza, Human/immunology
- Influenza, Human/prevention & control
- Kinetics
- Models, Immunological
- Orthomyxoviridae Infections/immunology
- Orthomyxoviridae Infections/virology
- Vaccines, Inactivated/administration & dosage
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Affiliation(s)
- James A. Hay
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
| | - Karen Laurie
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
- Seqirus, 63 Poplar Road, Parkville, Victoria, Australia
| | - Michael White
- Malaria: Parasites and Hosts, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France
| | - Steven Riley
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
- * E-mail:
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39
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Auladell M, Jia X, Hensen L, Chua B, Fox A, Nguyen THO, Doherty PC, Kedzierska K. Recalling the Future: Immunological Memory Toward Unpredictable Influenza Viruses. Front Immunol 2019; 10:1400. [PMID: 31312199 PMCID: PMC6614380 DOI: 10.3389/fimmu.2019.01400] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 06/03/2019] [Indexed: 01/09/2023] Open
Abstract
Persistent and durable immunological memory forms the basis of any successful vaccination protocol. Generation of pre-existing memory B cell and T cell pools is thus the key for maintaining protective immunity to seasonal, pandemic and avian influenza viruses. Long-lived antibody secreting cells (ASCs) are responsible for maintaining antibody levels in peripheral blood. Generated with CD4+ T help after naïve B cell precursors encounter their cognate antigen, the linked processes of differentiation (including Ig class switching) and proliferation also give rise to memory B cells, which then can change rapidly to ASC status after subsequent influenza encounters. Given that influenza viruses evolve rapidly as a consequence of antibody-driven mutational change (antigenic drift), the current influenza vaccines need to be reformulated frequently and annual vaccination is recommended. Without that process of regular renewal, they provide little protection against “drifted” (particularly H3N2) variants and are mainly ineffective when a novel pandemic (2009 A/H1N1 “swine” flu) strain suddenly emerges. Such limitation of antibody-mediated protection might be circumvented, at least in part, by adding a novel vaccine component that promotes cross-reactive CD8+ T cells specific for conserved viral peptides, presented by widely distributed HLA types. Such “memory” cytotoxic T lymphocytes (CTLs) can rapidly be recalled to CTL effector status. Here, we review how B cells and follicular T cells are elicited following influenza vaccination and how they survive into a long-term memory. We describe how CD8+ CTL memory is established following influenza virus infection, and how a robust CTL recall response can lead to more rapid virus elimination by destroying virus-infected cells, and recovery. Exploiting long-term, cross-reactive CTL against the continuously evolving and unpredictable influenza viruses provides a possible mechanism for preventing a disastrous pandemic comparable to the 1918-1919 H1N1 “Spanish flu,” which killed more than 50 million people worldwide.
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Affiliation(s)
- Maria Auladell
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Xiaoxiao Jia
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Luca Hensen
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Brendon Chua
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.,Research Center for Zoonosis Control, Hokkaido University, Sapporo, Japan
| | - Annette Fox
- WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Thi H O Nguyen
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Peter C Doherty
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.,Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, United States
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
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40
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Francis ME, King ML, Kelvin AA. Back to the Future for Influenza Preimmunity-Looking Back at Influenza Virus History to Infer the Outcome of Future Infections. Viruses 2019; 11:v11020122. [PMID: 30704019 PMCID: PMC6410066 DOI: 10.3390/v11020122] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 01/17/2019] [Accepted: 01/22/2019] [Indexed: 12/14/2022] Open
Abstract
The influenza virus-host interaction is a classic arms race. The recurrent and evolving nature of the influenza virus family allows a single host to be infected several times. Locked in co-evolution, recurrent influenza virus infection elicits continual refinement of the host immune system. Here we give historical context of circulating influenza viruses to understand how the individual immune history is mirrored by the history of influenza virus circulation. Original Antigenic Sin was first proposed as the negative influence of the host’s first influenza virus infection on the next and Imprinting modernizes Antigenic Sin incorporating both positive and negative outcomes. Building on imprinting, we refer to preimmunity as the continual refinement of the host immune system with each influenza virus infection. We discuss imprinting and the interplay of influenza virus homology, vaccination, and host age establishing preimmunity. We outline host signatures and outcomes of tandem infection according to the sequence of virus and classify these relationships as monosubtypic homologous, monosubtypic heterologous, heterosubtypic, or heterotypic sequential infections. Finally, the preimmunity knowledge gaps are highlighted for future investigation. Understanding the effects of antigenic variable recurrent influenza virus infection on immune refinement will advance vaccination strategies, as well as pandemic preparedness.
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Affiliation(s)
- Magen Ellen Francis
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada.
| | - Morgan Leslie King
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada.
| | - Alyson Ann Kelvin
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada.
- Department of Pediatrics, Division of Infectious Disease, Faculty of Medicine, Dalhousie University, Halifax, NS B3K 6R8, Canada.
- Canadian Centre for Vaccinology, IWK Health Centre, Halifax NS B3K 6R8, Canada.
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Zhang A, Stacey HD, Mullarkey CE, Miller MS. Original Antigenic Sin: How First Exposure Shapes Lifelong Anti–Influenza Virus Immune Responses. THE JOURNAL OF IMMUNOLOGY 2019; 202:335-340. [DOI: 10.4049/jimmunol.1801149] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 10/10/2018] [Indexed: 12/15/2022]
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42
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Zou G, Kosikova M, Kim SR, Kotian S, Wu WW, Shen R, Powers DN, Agarabi C, Xie H, Ju T. Comprehensive analysis of N-glycans in IgG purified from ferrets with or without influenza A virus infection. J Biol Chem 2018; 293:19277-19289. [PMID: 30315103 DOI: 10.1074/jbc.ra118.005294] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 09/24/2018] [Indexed: 11/06/2022] Open
Abstract
Influenza viruses cause contagious respiratory infections, resulting in significant economic burdens to communities. Production of influenza-specific Igs, specifically IgGs, is one of the major protective immune mechanisms against influenza viruses. In humans, N-glycosylation of IgGs plays a critical role in antigen binding and effector functions. The ferret is the most commonly used animal model for studying influenza pathogenesis, virus transmission, and vaccine development, but its IgG structure and functions remain largely undefined. Here we show that ferret IgGs are N-glycosylated and that their N-glycan structures are diverse. Using a comprehensive strategy based on MS and ultra-HPLC analyses in combination with exoglycosidase digestions, we assigned 42 N-glycan structures in ferret IgGs. We observed that N-glycans of ferret IgGs consist mainly of complex-type glycans, including some high-mannose and hybrid glycans, similar to those observed in human IgG. The complex-type glycans of ferret IgGs were primarily core-fucosylated. Furthermore, a fraction of N-glycans carried bisecting GlcNAc. Ferret IgGs also had a minor fraction of glycans carrying α2-6Neu5Ac(s). We noted that, unlike human IgG, ferret IgGs have αGal epitopes on some N-glycans. Interestingly, influenza A infection caused prominent changes in the N-glycans of ferret IgG, mainly because of an increase in bisecting GlcNAc and F1A2G0 and a corresponding decrease in F1A2G1. This suggests that the glycosylation of virus-specific IgG may play a role in its functionality. Our study highlights the need to further elucidate the structure-function relationships of IgGs in universal influenza vaccine development.
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Affiliation(s)
- Guozhang Zou
- From the Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993 and
| | | | - Su-Ryun Kim
- From the Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993 and
| | - Shweta Kotian
- From the Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993 and
| | - Wells W Wu
- Facility for Biotechnology Resources, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993
| | - Rongfong Shen
- Facility for Biotechnology Resources, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993
| | - David N Powers
- From the Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993 and
| | - Cyrus Agarabi
- From the Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993 and
| | - Hang Xie
- the Office of Vaccines Research and Review and
| | - Tongzhong Ju
- From the Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland 20993 and
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43
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Fedson DS. Influenza, evolution, and the next pandemic. EVOLUTION MEDICINE AND PUBLIC HEALTH 2018; 2018:260-269. [PMID: 30455951 PMCID: PMC6234328 DOI: 10.1093/emph/eoy027] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2018] [Accepted: 08/29/2018] [Indexed: 12/14/2022]
Abstract
Mortality rates in influenza appear to have been shaped by evolution. During the 1918 pandemic, mortality rates were lower in children compared with adults. This mortality difference occurs in a wide variety of infectious diseases. It has been replicated in mice and might be due to greater tolerance of infection, not greater resistance. Importantly, combination treatment with inexpensive and widely available generic drugs (e.g. statins and angiotensin receptor blockers) might change the damaging host response in adults to a more tolerant response in children. These drugs might work by modifying endothelial dysfunction, mitochondrial biogenesis and immunometabolism. Treating the host response might be the only practical way to reduce global mortality during the next influenza pandemic. It might also help reduce mortality due to seasonal influenza and other forms of acute critical illness. To realize these benefits, we need laboratory and clinical studies of host response treatment before and after puberty.
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Treanor J. What Happens Next Depends on What Happened First. Clin Infect Dis 2018; 67:1533-1534. [DOI: 10.1093/cid/ciy330] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 04/10/2018] [Indexed: 12/28/2022] Open
Affiliation(s)
- John Treanor
- Division of Infectious Diseases, Department of Medicine, University of Rochester Medical Center, New York
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