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Wang Y, Ma Q, Li M, Mai Q, Ma L, Zhang H, Zhong H, Mai K, Cheng N, Feng P, Guan P, Wu S, Zhang L, Dai J, Zhang B, Pan W, Yang Z. A decavalent composite mRNA vaccine against both influenza and COVID-19. mBio 2024; 15:e0066824. [PMID: 39105586 PMCID: PMC11389412 DOI: 10.1128/mbio.00668-24] [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: 03/03/2024] [Accepted: 07/02/2024] [Indexed: 08/07/2024] Open
Abstract
The COVID-19 pandemic caused by SARS-CoV-2 has had a persistent and significant impact on global public health for 4 years. Recently, there has been a resurgence of seasonal influenza transmission worldwide. The co-circulation of SARS-CoV-2 and seasonal influenza viruses results in a dual burden on communities. Additionally, the pandemic potential of zoonotic influenza viruses, such as avian Influenza A/H5N1 and A/H7N9, remains a concern. Therefore, a combined vaccine against all these respiratory diseases is in urgent need. mRNA vaccines, with their superior efficacy, speed in development, flexibility, and cost-effectiveness, offer a promising solution for such infectious diseases and potential future pandemics. In this study, we present FLUCOV-10, a novel 10-valent mRNA vaccine created from our proven platform. This vaccine encodes hemagglutinin (HA) proteins from four seasonal influenza viruses and two avian influenza viruses with pandemic potential, as well as spike proteins from four SARS-CoV-2 variants. A two-dose immunization with the FLUCOV-10 elicited robust immune responses in mice, producing IgG antibodies, neutralizing antibodies, and antigen-specific cellular immune responses against all the vaccine-matched viruses of influenza and SARS-CoV-2. Remarkably, the FLUCOV-10 immunization provided complete protection in mouse models against both homologous and heterologous strains of influenza and SARS-CoV-2. These results highlight the potential of FLUCOV-10 as an effective vaccine candidate for the prevention of influenza and COVID-19.IMPORTANCEAmidst the ongoing and emerging respiratory viral threats, particularly the concurrent and sequential spread of SARS-CoV-2 and influenza, our research introduces FLUCOV-10. This novel mRNA-based combination vaccine, designed to counteract both influenza and COVID-19, by incorporating genes for surface glycoproteins from various influenza viruses and SARS-CoV-2 variants. This combination vaccine was highly effective in preclinical trials, generating strong immune responses and ensuring protection against both matching and heterologous strains of influenza viruses and SARS-CoV-2. FLUCOV-10 represents a significant step forward in our ability to address respiratory viral threats, showcasing potential as a singular, adaptable vaccine solution for global health challenges.
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MESH Headings
- Animals
- COVID-19/prevention & control
- COVID-19/immunology
- Mice
- SARS-CoV-2/immunology
- SARS-CoV-2/genetics
- COVID-19 Vaccines/immunology
- COVID-19 Vaccines/administration & dosage
- mRNA Vaccines
- Humans
- Influenza Vaccines/immunology
- Influenza Vaccines/administration & dosage
- Influenza Vaccines/genetics
- Antibodies, Viral/blood
- Antibodies, Viral/immunology
- Influenza, Human/prevention & control
- Influenza, Human/immunology
- Influenza, Human/virology
- Vaccines, Synthetic/immunology
- Vaccines, Synthetic/genetics
- Vaccines, Synthetic/administration & dosage
- Mice, Inbred BALB C
- Female
- Antibodies, Neutralizing/blood
- Antibodies, Neutralizing/immunology
- Orthomyxoviridae Infections/prevention & control
- Orthomyxoviridae Infections/immunology
- Orthomyxoviridae Infections/virology
- Hemagglutinin Glycoproteins, Influenza Virus/immunology
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Spike Glycoprotein, Coronavirus/immunology
- Spike Glycoprotein, Coronavirus/genetics
- Influenza A Virus, H5N1 Subtype/immunology
- Influenza A Virus, H5N1 Subtype/genetics
- Influenza A virus/immunology
- Influenza A virus/genetics
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Affiliation(s)
- Yang Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
| | - Qinhai Ma
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Man Li
- Argorna Pharmaceuticals Co., Ltd., Guangzhou, China
| | - Qianyi Mai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lin Ma
- Guangzhou RiboBio Co., Ltd, Guangzhou, China
| | - Hong Zhang
- Argorna Pharmaceuticals Co., Ltd., Guangzhou, China
| | | | - Kailin Mai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Nan Cheng
- Guangzhou RiboBio Co., Ltd, Guangzhou, China
| | - Pei Feng
- Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau SAR, China
| | - Peikun Guan
- Guangzhou National Laboratory, Guangzhou, China
| | - Shengzhen Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Lu Zhang
- Technology Centre, Guangzhou Customs, Guangzhou, China
| | - Jun Dai
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
- Technology Centre, Guangzhou Customs, Guangzhou, China
| | - Biliang Zhang
- Argorna Pharmaceuticals Co., Ltd., Guangzhou, China
- State Key Laboratory of Respiratory Disease, Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Weiqi Pan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China
| | - Zifeng Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Guangzhou National Laboratory, Guangzhou, China
- Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau SAR, China
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Tenforde MW, Weber ZA, Yang DH, DeSilva MB, Dascomb K, Irving SA, Naleway AL, Gaglani M, Fireman B, Lewis N, Zerbo O, Goddard K, Timbol J, Hansen JR, Grisel N, Arndorfer J, McEvoy CE, Essien IJ, Rao S, Grannis SJ, Kharbanda AB, Natarajan K, Ong TC, Embi PJ, Ball SW, Dunne MM, Kirshner L, Wiegand RE, Dickerson M, Patel P, Ray C, Flannery B, Garg S, Adams K, Klein NP. Influenza Vaccine Effectiveness Against Influenza A-Associated Emergency Department, Urgent Care, and Hospitalization Encounters Among US Adults, 2022-2023. J Infect Dis 2024; 230:141-151. [PMID: 39052725 PMCID: PMC11306194 DOI: 10.1093/infdis/jiad542] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/08/2023] [Accepted: 11/29/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND The 2022-2023 United States influenza season had unusually early influenza activity with high hospitalization rates. Vaccine-matched A(H3N2) viruses predominated, with lower levels of A(H1N1)pdm09 activity also observed. METHODS Using the test-negative design, we evaluated influenza vaccine effectiveness (VE) during the 2022-2023 season against influenza A-associated emergency department/urgent care (ED/UC) visits and hospitalizations from October 2022 to March 2023 among adults (aged ≥18 years) with acute respiratory illness (ARI). VE was estimated by comparing odds of seasonal influenza vaccination among case-patients (influenza A test positive by molecular assay) and controls (influenza test negative), applying inverse-propensity-to-be-vaccinated weights. RESULTS The analysis included 85 389 ED/UC ARI encounters (17.0% influenza A positive; 37.8% vaccinated overall) and 19 751 hospitalizations (9.5% influenza A positive; 52.8% vaccinated overall). VE against influenza A-associated ED/UC encounters was 44% (95% confidence interval [CI], 40%-47%) overall and 45% and 41% among adults aged 18-64 and ≥65 years, respectively. VE against influenza A-associated hospitalizations was 35% (95% CI, 27%-43%) overall and 23% and 41% among adults aged 18-64 and ≥65 years, respectively. CONCLUSIONS VE was moderate during the 2022-2023 influenza season, a season characterized with increased burden of influenza and co-circulation with other respiratory viruses. Vaccination is likely to substantially reduce morbidity, mortality, and strain on healthcare resources.
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Affiliation(s)
- Mark W. Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Duck-Hye Yang
- Department of Clinical Resarch, Westat, Rockville, Maryland
| | - Malini B. DeSilva
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Stephanie A. Irving
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Allison L. Naleway
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Manjusha Gaglani
- Section of Pediatric Infectious Diseases, Department of Pediatrics, Baylor Scott & White Health and Baylor College of Medicine, Temple, Texas
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Julius Timbol
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - John R. Hansen
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Charlene E. McEvoy
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota
| | - Inih J. Essien
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Shaun J. Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- School of Medicine, Indiana University, Indianapolis, Indiana
| | - Anupam B. Kharbanda
- Department of Pediatric Emergency Medicine, Children’s Minnesota, Minneapolis, Minnesota
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
- Medical Informatics Services, NewYork-Presbyterian Hospital, New York, New York
| | - Toan C. Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Peter J. Embi
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sarah W. Ball
- Department of Clinical Resarch, Westat, Rockville, Maryland
| | | | | | - Ryan E. Wiegand
- Coronavirus and other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Monica Dickerson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Palak Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Caitlin Ray
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Nicola P. Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
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3
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Cole J, Cąpała-Szczurko I, Roseti S, Chen C, Caveney S, Aksyuk AA, Streicher K, Ponnarambil S, Colice G. Effect of Tezepelumab on the Humoral Immune Response to Seasonal Quadrivalent Influenza Vaccination in Patients with Moderate to Severe Asthma: The Phase 3b VECTOR Study. Pulm Ther 2024; 10:53-67. [PMID: 38064153 PMCID: PMC10881940 DOI: 10.1007/s41030-023-00245-9] [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: 10/04/2023] [Accepted: 11/06/2023] [Indexed: 02/22/2024] Open
Abstract
INTRODUCTION Annual influenza vaccinations are recommended for adolescents and adults with moderate to severe asthma. This study investigated the effect of tezepelumab, a human monoclonal antibody that blocks the activity of thymic stromal lymphopoietin, on the humoral immune response to the quadrivalent seasonal influenza vaccine in patients with moderate to severe asthma. METHODS VECTOR was a phase 3b, randomized, multicenter, double-blind, parallel-group, placebo-controlled study. Adolescents (aged 12-17 years) and young adults (aged 18-21 years) with moderate to severe asthma were enrolled across 15 centers in the USA. Patients received tezepelumab 210 mg or placebo subcutaneously at weeks 0, 4, 8, and 12, and a single dose of inactivated quadrivalent seasonal influenza vaccine at week 12 before receiving study treatment. Immediately before vaccination and at 4 weeks postvaccination (week 16), strain-specific antibody responses were assessed for four influenza antigens by hemagglutination inhibition (HAI) and microneutralization (MN) assays. Safety was assessed. RESULTS Seventy patients were randomized to tezepelumab (n = 35) or placebo (n = 35). There were no meaningful differences in HAI or MN antibody responses between treatment groups at week 16. HAI assay geometric mean fold rises (GMFRs) for influenza strains were 1.76-7.34 for tezepelumab and 1.46-4.75 for placebo. MN assay GMFRs were 4.00-14.56 for tezepelumab and 3.56-10.62 for placebo. In the HAI assay, a fourfold or larger rise in antibody titer from weeks 12 to 16 occurred in 15.2-78.8% and 15.2-51.5% of tezepelumab and placebo recipients, respectively, and 97.0-100% of patients in both treatment groups achieved an antibody titer of at least 40 at week 16. No unexpected safety findings occurred. CONCLUSION There was no observed suppression of the humoral immune response after influenza vaccination in adolescents and young adults with moderate to severe asthma treated with tezepelumab. Therefore, the influenza vaccine can be administered to this patient population during tezepelumab treatment. CLINICALTRIALS GOV IDENTIFIER NCT05062759.
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Affiliation(s)
| | - Iwona Cąpała-Szczurko
- Late-Stage Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Warsaw, Poland
| | - Stephanie Roseti
- Late-Stage Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Claudia Chen
- Biometrics, Late-Stage Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Scott Caveney
- Global Development, Inflammation, R&D, Amgen, Thousand Oaks, CA, USA
| | - Anastasia A Aksyuk
- Translational Medicine, Vaccines and Immune Therapies, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Katie Streicher
- Translational Medicine, Vaccines and Immune Therapies, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Sandhia Ponnarambil
- Late-Stage Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
- AstraZeneca BioPharmaceuticals R&D, 136 Hills Road, Cambridge, CB2 8PA, UK.
| | - Gene Colice
- Late-Stage Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
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4
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Domnich A, Orsi A, Signori A, Chironna M, Manini I, Napoli C, Rizzo C, Panatto D, Icardi G. Waning intra-season vaccine effectiveness against influenza A(H3N2) underlines the need for more durable protection. Expert Rev Vaccines 2024; 23:380-388. [PMID: 38494919 DOI: 10.1080/14760584.2024.2331073] [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: 01/11/2024] [Accepted: 03/12/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND The question of whether influenza vaccine effectiveness (VE) wanes over the winter season is still open and some contradictory findings have been reported. This study investigated the possible decline in protection provided by the available influenza vaccines. RESEARCH DESIGN AND METHODS An individual-level pooled analysis of six test-negative case-control studies conducted in Italy between the 2018/2019 and 2022/2023 seasons was performed. Multivariable logistic regression analyses were performed to estimate weekly change in the odds of testing positive for influenza 14 days after vaccination. RESULTS Of 6490 patients included, 1633 tested positive for influenza. Each week that had elapsed since vaccination was associated with an increase in the odds of testing positive for any influenza (4.9%; 95% CI: 2.0-8.0%) and for A(H3N2) (6.5%; 95% CI: 2.9-10.3%). This decline in VE was, however, significant only in children and older adults. A similar increase in the odds of testing positive was seen when the dataset was restricted to vaccinees only. Conversely, VE waning was less evident for A(H1N1)pdm09 or B strains. CONCLUSIONS Significant waning of VE, especially against influenza A(H3N2), may be one of the factors associated with suboptimal end-of-season VE. Next-generation vaccines should provide more durable protection against A(H3N2).
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Affiliation(s)
- Alexander Domnich
- Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy
| | - Andrea Orsi
- Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
- Interuniversity Research Centre on Influenza and Other Transmissible Infections (CIRI-IT), Genoa, Italy
| | - Alessio Signori
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Maria Chironna
- Interdisciplinary Department of Medicine, University of Bari, Bari, Italy
| | - Ilaria Manini
- Interuniversity Research Centre on Influenza and Other Transmissible Infections (CIRI-IT), Genoa, Italy
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
| | | | - Caterina Rizzo
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Donatella Panatto
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
- Interuniversity Research Centre on Influenza and Other Transmissible Infections (CIRI-IT), Genoa, Italy
| | - Giancarlo Icardi
- Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
- Interuniversity Research Centre on Influenza and Other Transmissible Infections (CIRI-IT), Genoa, Italy
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Van Reeth K, Parys A, Gracia JCM, Trus I, Chiers K, Meade P, Liu S, Palese P, Krammer F, Vandoorn E. Sequential vaccinations with divergent H1N1 influenza virus strains induce multi-H1 clade neutralizing antibodies in swine. Nat Commun 2023; 14:7745. [PMID: 38008801 PMCID: PMC10679120 DOI: 10.1038/s41467-023-43339-3] [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: 02/02/2023] [Accepted: 11/07/2023] [Indexed: 11/28/2023] Open
Abstract
Vaccines that protect against any H1N1 influenza A virus strain would be advantageous for use in pigs and humans. Here, we try to induce a pan-H1N1 antibody response in pigs by sequential vaccination with antigenically divergent H1N1 strains. Adjuvanted whole inactivated vaccines are given intramuscularly in various two- and three-dose regimens. Three doses of heterologous monovalent H1N1 vaccine result in seroprotective neutralizing antibodies against 71% of a diverse panel of human and swine H1 strains, detectable antibodies against 88% of strains, and sterile cross-clade immunity against two heterologous challenge strains. This strategy outperforms any two-dose regimen and is as good or better than giving three doses of matched trivalent vaccine. Neutralizing antibodies are H1-specific, and the second heterologous booster enhances reactivity with conserved epitopes in the HA head. We show that even the most traditional influenza vaccines can offer surprisingly broad protection if they are administered in an alternative way.
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Affiliation(s)
- Kristien Van Reeth
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Gent, Belgium.
| | - Anna Parys
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Gent, Belgium
| | | | - Ivan Trus
- Dioscuri Centre for RNA-Protein Interactions in Human Health and Disease, International Institute of Molecular and Cell Biology, Warsaw, Poland
| | - Koen Chiers
- Laboratory of Pathology, Faculty of Veterinary Medicine, Ghent University, Gent, Belgium
| | - Philip Meade
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VARPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sean Liu
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter Palese
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Vaccine Research and Pandemic Preparedness (C-VARPP), Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elien Vandoorn
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Gent, Belgium
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Wang Q, Jia M, Jiang M, Liu W, Yang J, Dai P, Sun Y, Qian J, Yang W, Feng L. A seesaw effect between COVID-19 and influenza during 2020-2023 in WHO regions. JMIR Public Health Surveill 2023. [PMID: 37191650 DOI: 10.2196/44970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND Seasonal influenza activity showed a sharp decline in activity at the beginning of the Corona Virus Disease 2019 (COVID-19) emergence. Whether there is an epidemiological correlation between the dynamic of two respiratory infectious diseases and their future trends needs to be explored. OBJECTIVE To assess the correlation between COVID-19 and influenza activity and estimate their upcoming epidemiological trends. METHODS We retrospectively described the dynamics of COVID-19 and influenza in six World Health Organization (WHO) regions from January 2020-March 2023, and used the long short-term memory (LSTM) machine learning model to learn potential patterns of previously observed activity to predict trends for the next sixteen weeks. Finally, the past and future correlation in epidemiology between two respiratory infectious diseases was assessed by the Spearman correlation coefficients. RESULTS With the emergence of original strain and other severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, influenza activity kept below 10% for more than one year in the six WHO regions. Subsequently, it gradually rose as the Delta activity dropped, but still peaked below Delta. During the Omicron pandemic and the upcoming period, the two increased as each other's activity decreased, becoming interactively dominant more than once and lasting 3-4 months. Correlation analysis showed that COVID-19 and influenza activity presented a predominantly negative correlation with coefficients above -0.3 in WHO regions, especially during the Omicron pandemic and the estimated upcoming period. They had a transient positive correlation in the European Region of WHO (EURO), and the Western Pacific Region of WHO (WPRO) when multiple dominant strains were mixed pandemic. CONCLUSIONS Influenza activity and former seasonal epidemiological patterns are shaken by the COVID-19 pandemic. Their activities are moderately and above inversely correlated, oppressing and competing with each other, showing a seesaw effect. In the post-pandemic era of COVID-19, the seesaw trends may be more prominent, prompting the possibility of using one another as early warning signals for future estimates and conducting optimized annual vaccine campaigns. CLINICALTRIAL
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Affiliation(s)
- Qing Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, CN
| | - Mengmeng Jia
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, CN
| | - Mingyue Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, CN
| | - Wei Liu
- Department of Statistics, Yunnan University, Kunming, CN
| | - Jin Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, CN
| | - Peixi Dai
- Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, CN
| | - Yanxia Sun
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, CN
| | - Jie Qian
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, CN
| | - Weizhong Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, CN
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 9, Dongdan Santiao, Dongcheng District, Beijing, CN
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7
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Racial and ethnic disparities in COVID-19 vaccine uptake: A mediation framework. Vaccine 2023; 41:2404-2411. [PMID: 36894396 PMCID: PMC9974364 DOI: 10.1016/j.vaccine.2023.02.079] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/22/2023] [Accepted: 02/26/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND Previous research suggests that racial and ethnic minority groups especially Black Americans showed stronger COVID-19 vaccine hesitancy and resistance, which may result from a lack of trust toward the government and vaccine manufacturers, among other sociodemographic and health factors. OBJECTIVES The current study explored potential social and economic, clinical, and psychological factors that may have mediated racial and ethnic disparities in COVID-19 vaccine uptake among US adults. METHODS A sample of 6078 US individuals was selected from a national longitudinal survey administered in 2020-2021. Baseline characteristics were collected in December 2020, and respondents were followed up to July 2021. Racial and ethnic disparities in time to vaccine initiation and completion (based on a 2-dose regimen) were first assessed with the Kaplan-Meier Curve and log-rank test, and then explored with the Cox proportional hazards model adjusting for potential time-varying mediators, such as education, income, marital status, chronic health conditions, trust in vaccine development and approval processes, and perceived risk of infection. RESULTS Prior to mediator adjustment, Black and Hispanic Americans had slower vaccine initiation and completion than Asian Americans and Pacific Islanders and White Americans (p's < 0.0001). After accounting for the mediators, there were no significant differences in vaccine initiation or completion between each minoritized group as compared to White Americans. Education, household income, marital status, chronic health conditions, trust, and perceived infection risk were potential mediators. CONCLUSION Racial and ethnic disparities in COVID-19 vaccine uptake were mediated through social and economic conditions, psychological influences, and chronic health conditions. To address the racial and ethnic inequity in vaccination, it is important to target the social, economic, and psychological forces behind it.
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Poniedziałek B, Hallmann E, Sikora D, Szymański K, Kondratiuk K, Żurawski J, Rzymski P, Brydak L. Relationship between Humoral Response in COVID-19 and Seasonal Influenza Vaccination. Vaccines (Basel) 2022; 10:1621. [PMID: 36298486 PMCID: PMC9610939 DOI: 10.3390/vaccines10101621] [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: 09/05/2022] [Revised: 09/23/2022] [Accepted: 09/25/2022] [Indexed: 11/17/2022] Open
Abstract
There is evidence that vaccination against seasonal influenza can improve innate immune responses to COVID-19 and decrease disease severity. However, less is known about whether it could also impact the humoral immunity in SARS-CoV-2 infected patients. The present study aimed to compare the SARS-CoV-2 specific humoral responses (IgG antibodies against nucleocapsid; anti-N, receptor binding domain; anti-RBD, subunit S2; anti-S2, and envelope protein; anti-E) between non-hospitalized, COVID-19 unvaccinated, and mild COVID-19 convalescent patients who were and were not vaccinated against influenza during the 2019/2020 epidemic season (n = 489 and n = 292, respectively). The influenza-vaccinated group had significantly higher frequency and titers of anti-N antibodies (75 vs. 66%; mean 559 vs. 520 U/mL) and anti-RBD antibodies (85 vs. 76%; mean 580 vs. 540 U/mL). The prevalence and concentrations of anti-S2 and anti-E antibodies did not differ between groups (40-43%; mean 370-375 U/mL and 1.4-1.7%; mean 261-294 U/mL) and were significantly lower compared to those of anti-RBD and anti-N. In both groups, age, comorbidities, and gender did not affect the prevalence and concentrations of studied antibodies. The results indicate that influenza vaccination can improve serum antibody levels produced in response to SARS-CoV-2 infection.
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Affiliation(s)
- Barbara Poniedziałek
- Department of Environmental Medicine, Poznań University of Medical Sciences, 60-806 Poznan, Poland
| | - Ewelina Hallmann
- Department of Influenza Research, National Influenza Center at the National Institute of Public Health NIH—National Research Institute in Warsaw, Chocimska St. 24, 00-791 Warsaw, Poland
| | - Dominika Sikora
- Department of Environmental Medicine, Poznań University of Medical Sciences, 60-806 Poznan, Poland
- Doctoral School, Poznan University of Medical Sciences, Fredry St. 10, 61-701 Poznan, Poland
| | - Karol Szymański
- Department of Influenza Research, National Influenza Center at the National Institute of Public Health NIH—National Research Institute in Warsaw, Chocimska St. 24, 00-791 Warsaw, Poland
| | - Katarzyna Kondratiuk
- Department of Influenza Research, National Influenza Center at the National Institute of Public Health NIH—National Research Institute in Warsaw, Chocimska St. 24, 00-791 Warsaw, Poland
| | - Jakub Żurawski
- Department of Immunobiology, Poznan University of Medical Sciences, 60-806 Poznan, Poland
| | - Piotr Rzymski
- Department of Environmental Medicine, Poznań University of Medical Sciences, 60-806 Poznan, Poland
- Integrated Science Association (ISA), Universal Scientific Education and Research Network (USERN), 60-806 Poznan, Poland
| | - Lidia Brydak
- Department of Influenza Research, National Influenza Center at the National Institute of Public Health NIH—National Research Institute in Warsaw, Chocimska St. 24, 00-791 Warsaw, Poland
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