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Le Sage V, Souza CK, Rockey NC, Shephard M, Zanella GC, Arruda B, Wang S, Drapeau EM, Doyle JD, Xu L, Barbeau DJ, Paulson JC, McElroy AK, Hensley SE, Anderson TK, Vincent Baker AL, Lakdawala SS. Eurasian 1C swine influenza A virus exhibits high pandemic risk traits. Emerg Microbes Infect 2025; 14:2492210. [PMID: 40207467 PMCID: PMC12064114 DOI: 10.1080/22221751.2025.2492210] [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: 11/06/2024] [Revised: 03/10/2025] [Accepted: 04/07/2025] [Indexed: 04/11/2025]
Abstract
ABSTRACTRecent surveillance has identified an expansion of swine H1 1C influenza viruses in Eurasian swine. Since 2010, at least 21 spillover events of 1C virus into humans have been detected and three of these occurred from July to December of 2023. Pandemic risk assessment of H1 1C influenza virus revealed that individuals born after 1950 had limited cross-reactive antibodies, confirming that they are antigenically novel viruses. The 1C virus exhibited phenotypic signatures similar to the 2009 pandemic H1N1 virus, including human receptor preference, productive replication in human airway cells, and robust environmental stability. Efficient inter- and intraspecies airborne transmission using the swine and ferret models was observed, including efficient airborne transmission to ferrets with pre-existing human seasonal H1N1 immunity. Together our data suggest H1 1C influenza virus poses a relatively high pandemic risk.
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Affiliation(s)
- Valerie Le Sage
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Carine K. Souza
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA, USA
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - Nicole C. Rockey
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Meredith Shephard
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA, USA
| | - Giovana C. Zanella
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA, USA
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - Bailey Arruda
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA, USA
- Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
| | - Shengyang Wang
- Departments of Molecular Medicine and Immunology & Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Elizabeth M. Drapeau
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Joshua D. Doyle
- Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lingqing Xu
- Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dominique J. Barbeau
- Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - James C. Paulson
- Departments of Molecular Medicine and Immunology & Microbiology, The Scripps Research Institute, La Jolla, CA, USA
| | - Anita K. McElroy
- Center for Vaccine Research, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Division of Infectious Diseases, Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Scott E. Hensley
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tavis K. Anderson
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA, USA
| | - Amy L. Vincent Baker
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA, USA
| | - Seema S. Lakdawala
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, GA, USA
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2
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Yamaji R, Zhang W, Kamata A, Adlhoch C, Swayne DE, Pereyaslov D, Wang D, Neumann G, Pavade G, Barr IG, Peiris M, Webby RJ, Fouchier RAM, Von Dobschütz S, Fabrizio T, Shu Y, Samaan M. Pandemic risk characterisation of zoonotic influenza A viruses using the Tool for Influenza Pandemic Risk Assessment (TIPRA). THE LANCET. MICROBE 2025; 6:100973. [PMID: 39396528 PMCID: PMC11876097 DOI: 10.1016/j.lanmic.2024.100973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 07/26/2024] [Accepted: 08/09/2024] [Indexed: 10/15/2024]
Abstract
A systematic risk assessment approach is essential for evaluating the relative risk of influenza A viruses (IAVs) with pandemic potential. To achieve this, the Tool for Influenza Pandemic Risk Assessment (TIPRA) was developed under the Global Influenza Programme of WHO. Since its release in 2016 and update in 2020, TIPRA has been used to assess the pandemic risk of 11 zoonotic IAVs across ten evaluation rounds. Notably, A(H7N9), A(H9N2), and A(H5) clade 2.3.4.4 viruses were re-evaluated owing to changes in epidemiological characteristics or virus properties. A(H7N9) viruses had the highest relative risk at the time of assessment, highlighting the importance of continuous monitoring and reassessment as changes in epidemiological trends within animal and human populations can alter risk profiles. The knowledge gaps identified throughout the ten risk assessments should help to guide the efficient use of resources for future research, including surveillance. The TIPRA tool reflects the One Health approach and has proven crucial for closely monitoring virus dynamics in both human and non-human populations to enhance preparedness for potential IAV pandemics.
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Affiliation(s)
- Reina Yamaji
- Global Influenza Programme, Epidemic and Pandemic Preparedness and Prevention, WHO Emergency Programme, World Health Organization, Geneva, Switzerland
| | - Wenqing Zhang
- Global Influenza Programme, Epidemic and Pandemic Preparedness and Prevention, WHO Emergency Programme, World Health Organization, Geneva, Switzerland
| | - Akiko Kamata
- The Food and Agriculture Organization of the UN (FAO), Rome, Italy
| | - Cornelia Adlhoch
- European Centre for Disease Prevention and Control, Solna, Sweden
| | | | - Dmitriy Pereyaslov
- Global Influenza Programme, Epidemic and Pandemic Preparedness and Prevention, WHO Emergency Programme, World Health Organization, Geneva, Switzerland
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, China CDC, Changping District, Beijing, China
| | - Gabriele Neumann
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Ian G Barr
- WHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Malik Peiris
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Richard J Webby
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Ron A M Fouchier
- Department of Viroscience, Erasmus Medical Centre, Rotterdam, Netherlands
| | - Sophie Von Dobschütz
- The Food and Agriculture Organization of the UN (FAO), Rome, Italy; Emerging Diseases and Zoonoses Unit, Department for Epidemic and Pandemic Preparedness and Prevention, World Health Organization, Geneva, Switzerland
| | - Thomas Fabrizio
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN, USA
| | - Yuelong Shu
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Magdi Samaan
- Global Influenza Programme, Epidemic and Pandemic Preparedness and Prevention, WHO Emergency Programme, World Health Organization, Geneva, Switzerland.
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3
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Hay JA, Routledge I, Takahashi S. Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data. Epidemics 2024; 49:100806. [PMID: 39647462 DOI: 10.1016/j.epidem.2024.100806] [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: 01/18/2024] [Revised: 11/21/2024] [Accepted: 11/25/2024] [Indexed: 12/10/2024] Open
Abstract
We present a review and primer of methods to understand epidemiological dynamics and identify past exposures from serological data, referred to as serodynamics. We discuss processing and interpreting serological data prior to fitting serodynamical models, and review approaches for estimating epidemiological trends and past exposures, ranging from serocatalytic models applied to binary serostatus data, to more complex models incorporating quantitative antibody measurements and immunological understanding. Although these methods are seemingly disparate, we demonstrate how they are derived within a common mathematical framework. Finally, we discuss key areas for methodological development to improve scientific discovery and public health insights in seroepidemiology.
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Affiliation(s)
- James A Hay
- Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
| | - Isobel Routledge
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
| | - Saki Takahashi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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Desheva Y, Sergeeva M, Kudar P, Rekstin A, Romanovskaya-Romanko E, Krivitskaya V, Kudria K, Bazhenova E, Stepanova E, Krylova E, Kurpiaeva M, Lioznov D, Stukova M, Kiseleva I. Neuraminidase Antibody Response to Homologous and Drifted Influenza A Viruses After Immunization with Seasonal Influenza Vaccines. Vaccines (Basel) 2024; 12:1334. [PMID: 39771996 PMCID: PMC11680112 DOI: 10.3390/vaccines12121334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Revised: 11/20/2024] [Accepted: 11/25/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUND/OBJECTIVES Humoral immunity directed against neuraminidase (NA) of the influenza virus may soften the severity of infection caused by new antigenic variants of the influenza viruses. Evaluation of NA-inhibiting (NI) antibodies in combination with antibodies to hemagglutinin (HA) may enhance research on the antibody response to influenza vaccines. METHODS The study examined 64 pairs of serum samples from patients vaccinated with seasonal inactivated trivalent influenza vaccines (IIVs) in 2018 according to the formula recommended by the World Health Organization (WHO) for the 2018-2019 flu season. Antibodies against drift influenza viruses A/Guangdong-Maonan/SWL1536/2019(H1N1)pdm09 and A/Brisbane/34/2018(H3N2) were studied before vaccination and 21 days after vaccination. To assess NI antibodies, we used an enzyme-linked lectin assay (ELLA) with pairs of reassortant viruses A/H6N1 and A/H6N2. Anti-HA antibodies were detected using a hemagglutination inhibition (HI) test. The microneutralization (MN) test was performed in the MDCK cell line using viruses A/H6N1 and A/H6N2. RESULTS Seasonal IIVs induce a significant immune response of NI antibodies against influenza A/H1N1pdm09 and A/H3N2 viruses. A significantly reduced 'herd' immunity to drift influenza A/H1N1pdm09 and A/H3N2 viruses was shown, compared with previously circulating strains. This reduction was most pronounced in strains possessing neuraminidase N2. Seasonal IIVs caused an increase in antibodies against homologous and drifted viruses; however, an increase in antibodies to drifting viruses was observed more often among older patients. The level of NI antibodies for later A/H1N1pdm09 virus in response to IIVs was statistically significantly lower among younger people. After IIV vaccination, the percentage of individuals with HI antibody levels ≥ 1:40 and NI antibody levels ≥ 1:20 was 32.8% for drift A/H1N1pdm09 virus and 17.2% for drift A/H3N2 virus. Antisera containing HI and NI antibodies exhibited neutralizing properties in vitro against viruses with unrelated HA of the H6 subtype. CONCLUSIONS Drift A/H1N1pdm09 and A/H3N2 viruses demonstrated significantly lower reactivity to HI and NI antibodies against early influenza viruses. In response to seasonal IIVs, the level of seroprotection has increased, including against drift influenza A viruses, but protective antibody levels against A/H1N1pdm09 have risen to a greater extent. A reduced immune response to the N1 protein of the A/H1N1pdm09 drift virus was obtained in individuals under 60 years of age. Based on our findings, it is hypothesized that in the cases of a HA mismatch, vaccination against N1-containing influenza viruses may be necessary for individuals under 60, while broader population-level vaccination against N2-containing viruses may be required.
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Affiliation(s)
- Yulia Desheva
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
| | - Maria Sergeeva
- Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, 197022 Saint Petersburg, Russia; (M.S.); (E.R.-R.); (V.K.); (K.K.); (D.L.); (M.S.)
| | - Polina Kudar
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
| | - Andrey Rekstin
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
| | - Ekaterina Romanovskaya-Romanko
- Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, 197022 Saint Petersburg, Russia; (M.S.); (E.R.-R.); (V.K.); (K.K.); (D.L.); (M.S.)
| | - Vera Krivitskaya
- Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, 197022 Saint Petersburg, Russia; (M.S.); (E.R.-R.); (V.K.); (K.K.); (D.L.); (M.S.)
| | - Kira Kudria
- Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, 197022 Saint Petersburg, Russia; (M.S.); (E.R.-R.); (V.K.); (K.K.); (D.L.); (M.S.)
| | - Ekaterina Bazhenova
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
| | - Ekaterina Stepanova
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
| | - Evelina Krylova
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
| | - Maria Kurpiaeva
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
| | - Dmitry Lioznov
- Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, 197022 Saint Petersburg, Russia; (M.S.); (E.R.-R.); (V.K.); (K.K.); (D.L.); (M.S.)
| | - Marina Stukova
- Smorodintsev Research Institute of Influenza, Ministry of Health of the Russian Federation, 197022 Saint Petersburg, Russia; (M.S.); (E.R.-R.); (V.K.); (K.K.); (D.L.); (M.S.)
| | - Irina Kiseleva
- FSBSI ‘Institute of Experimental Medicine’, 197022 Saint Petersburg, Russia; (P.K.); (A.R.); (E.B.); (E.S.); (E.K.); (M.K.); (I.K.)
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5
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Zhang L, Li C, Shao S, Zhang Z, Chen D. Influenza viruses and SARS-CoV-2 diagnosis via sensitive testing methods in clinical application. Heliyon 2024; 10:e36410. [PMID: 39381246 PMCID: PMC11458974 DOI: 10.1016/j.heliyon.2024.e36410] [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: 03/13/2024] [Revised: 07/02/2024] [Accepted: 08/14/2024] [Indexed: 10/10/2024] Open
Abstract
The identification of influenza viruses and SARS-CoV-2 has garnered increasing attention due of their longstanding global menace to human life and health. The point-of-care test is a potential approach for identifying influenza viruses and SARS-CoV-2 in clinical settings, leading to timely discovery, documentation, and treatment. The primary difficulties encountered with conventional detection techniques for influenza viruses and SARS-CoV-2 are the limited or inadequate ability to identify the presence of the viruses, the lack of speed, precision, accuracy, sensitivity, and specificity, often resulting in a failure to promptly notify disease control authorities. Recently, point-of-care test methods, along with nucleic acid amplification, optics, electrochemistry, lateral/vertical flow, and minimization, have been demonstrated the characteristics of reliability, sensitivity, specificity, stability, and portability. A point-of-care test offers promising findings in the early detection of influenza viruses and SARS-CoV-2 in both scientific research and practical use. In this review, we will go over the principles, advantages, limitations, and real-world applications of point-of-care diagnostics. The significance of constraints of detection, throughput, sensitivity, and specificity in the analysis of clinical samples in settings with restricted resources is underscored. This discussion concludes with their prospects and challenges.
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Affiliation(s)
- Le Zhang
- Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- School of Ecology and Environment, Tibet University, Lhasa 850000, China
| | - Chunwen Li
- Department of Emergency Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - ShaSha Shao
- Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhaowei Zhang
- State Key Laboratory of New Textile Materials and Advanced Processing Technologies, School of Bioengineering and Health, Wuhan Textile University, Wuhan, 430200, China
| | - Di Chen
- Department of Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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6
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Liang Z, Lin X, Sun L, Edwards KM, Song W, Sun H, Xie Y, Lin F, Ling S, Liang T, Xiao B, Wang J, Li M, Leung CY, Zhu H, Bhandari N, Varadarajan R, Levine MZ, Peiris M, Webster R, Dhanasekaran V, Leung NHL, Cowling BJ, Webby RJ, Ducatez M, Zanin M, Wong SS. A(H2N2) and A(H3N2) influenza pandemics elicited durable cross-reactive and protective antibodies against avian N2 neuraminidases. Nat Commun 2024; 15:5593. [PMID: 38961067 PMCID: PMC11222539 DOI: 10.1038/s41467-024-49884-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 06/24/2024] [Indexed: 07/05/2024] Open
Abstract
Human cases of avian influenza virus (AIV) infections are associated with an age-specific disease burden. As the influenza virus N2 neuraminidase (NA) gene was introduced from avian sources during the 1957 pandemic, we investigate the reactivity of N2 antibodies against A(H9N2) AIVs. Serosurvey of healthy individuals reveal the highest rates of AIV N2 antibodies in individuals aged ≥65 years. Exposure to the 1968 pandemic N2, but not recent N2, protected against A(H9N2) AIV challenge in female mice. In some older adults, infection with contemporary A(H3N2) virus could recall cross-reactive AIV NA antibodies, showing discernable human- or avian-NA type reactivity. Individuals born before 1957 have higher anti-AIV N2 titers compared to those born between 1957 and 1968. The anti-AIV N2 antibodies titers correlate with antibody titers to the 1957 N2, suggesting that exposure to the A(H2N2) virus contribute to this reactivity. These findings underscore the critical role of neuraminidase immunity in zoonotic and pandemic influenza risk assessment.
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Affiliation(s)
- Zaolan Liang
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Xia Lin
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Lihong Sun
- Guangzhou Institute for Respiratory Health and First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kimberly M Edwards
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Wenjun Song
- Guangzhou National Laboratory, No. 9 XingDaoHuanBei Road, Guangzhou International Bio Island, Guangzhou, 510005, Guangdong Province, China
| | - Hailiang Sun
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
| | - Yanmin Xie
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Fangmei Lin
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Shiman Ling
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Tingting Liang
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Biying Xiao
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Jiaqi Wang
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Min Li
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chin-Yu Leung
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Huachen Zhu
- State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China
- Joint Institute of Virology (Shantou University and The University of Hong Kong), Guangdong-Hongkong Joint Laboratory of Emerging Infectious Diseases, Shantou University, Shantou, P. R. China
| | - Nisha Bhandari
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India
| | - Raghavan Varadarajan
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka, India
| | - Min Z Levine
- US Center for Disease Control and Prevention, Atlanta, GA, USA
| | - Malik Peiris
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Center for Immunology & Infection, Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Robert Webster
- Department of Host-Microbe Interactions, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Vijaykrishna Dhanasekaran
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Nancy H L Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, Hong Kong SAR, China
| | - Richard J Webby
- Department of Host-Microbe Interactions, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Mariette Ducatez
- Interactions Hosts-Pathogens (IHAP), Université de Toulouse, National Research Institute for Agriculture, Food and the Environment (INRAE), National Veterinary School of Toulouse (ENVT), Toulouse, France
| | - Mark Zanin
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- Center for Immunology & Infection, Hong Kong Science and Technology Park, Hong Kong SAR, China.
| | - Sook-San Wong
- HKU-Pasteur Research Pole, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
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7
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Guiomar R, Pereira da Silva S, Costa I, Conde P, Cristóvão P, Rodrigues A, Fernandes A, Dias A, Couto A, Ramos A, Moita C, Rodrigues C, Vale F, Caldeira F, Bruges Armas J, Pereira‐Vaz J, Alves J, Freitas L, Martins L, Milho L, Mota‐Vieira L, Lopes L, Freitas M, Pessanha M, Correia M, Marques M, Cardoso M, Peres M, Cunha M, Amantegui P, Mota P, Lopes P, Pereira P, Viseu R, Cabral R, Côrte‐Real R, Almeida S, Soares V, Mansinho K, Hungnes O, Nunes B. Seroprevalence of Protective Antibodies Against Influenza and the Reduction of the Influenza Incidence Rate: An Annual Repeated Cross-Sectional Study From 2014 to 2019. Influenza Other Respir Viruses 2024; 18:e13307. [PMID: 38798072 PMCID: PMC11128746 DOI: 10.1111/irv.13307] [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: 12/27/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Seroepidemiological studies provide estimates of population-level immunity, prevalence/incidence of infections, and evaluation of vaccination programs. We assessed the seroprevalence of protective antibodies against influenza and evaluated the correlation of seroprevalence with the cumulative annual influenza incidence rate. METHODS We conducted an annual repeated cross-sectional seroepidemiological survey, during June-August, from 2014 to 2019, in Portugal. A total of 4326 sera from all age groups, sex, and regions was tested by hemagglutination inhibition assay. Seroprevalence and geometric mean titers (GMT) of protective antibodies against influenza were assessed by age group, sex, and vaccine status (65+ years old). The association between summer annual seroprevalence and the difference of influenza incidence rates between one season and the previous one was measured by Pearson correlation coefficient (r). RESULTS Significant differences in seroprevalence of protective antibodies against influenza were observed in the population. Higher seroprevalence and GMT for A(H1N1)pdm09 and A(H3N2) were observed in children (5-14); influenza B seroprevalence in adults 65+ was 1.6-4.4 times than in children (0-4). Vaccinated participants (65+) showed significant higher seroprevalence/GMT for influenza. A strong negative and significant correlation was found between seroprevalence and ILI incidence rate for A(H1N1)pdm09 in children between 5 and 14 (r = -0.84; 95% CI, -0.98 to -0.07); a weak negative correlation was observed for A(H3N2) and B/Yamagata (r ≤ -0.1). CONCLUSIONS The study provides new insight into the anti-influenza antibodies seroprevalence measured in summer on the ILI incidence rate in the next season and the need for adjusted preventive health care measures to prevent influenza infection and transmission.
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Affiliation(s)
- Raquel Guiomar
- National Reference Laboratory for Influenza and Other Respiratory Viruses, Infectious Diseases DepartmentNational Institute of Health Dr. Ricardo Jorge, IPLisbonPortugal
| | | | - Inês Costa
- National Reference Laboratory for Influenza and Other Respiratory Viruses, Infectious Diseases DepartmentNational Institute of Health Dr. Ricardo Jorge, IPLisbonPortugal
| | - Patricia Conde
- National Reference Laboratory for Influenza and Other Respiratory Viruses, Infectious Diseases DepartmentNational Institute of Health Dr. Ricardo Jorge, IPLisbonPortugal
| | - Paula Cristóvão
- National Reference Laboratory for Influenza and Other Respiratory Viruses, Infectious Diseases DepartmentNational Institute of Health Dr. Ricardo Jorge, IPLisbonPortugal
| | - Ana Paula Rodrigues
- Department of EpidemiologyNational Institute of Health Dr. Ricardo Jorge, IPLisbonPortugal
| | - Aida Fernandes
- Laboratório de Saúde Pública Dr.ª Laura AyresFaroPortugal
| | - Ana Paula Dias
- Centro Hospitalar de Lisboa Ocidental, E. P. E.LisbonPortugal
| | - Ana Rita Couto
- Hospital de Santo Espírito da Ilha Terceira, E. P. E.R.Angra do HeroísmoPortugal
| | - Angélica Ramos
- Centro Hospitalar Universitário de São João, E. P. E.PortoPortugal
- EPIUnit – Instituto de Saúde PúblicaUniversidade do PortoPortoPortugal
| | - Carina Moita
- Unidade Local de Saúde da Guarda, E. P. E.GuardaPortugal
| | | | - Fátima Vale
- Unidade Local de Saúde da Guarda, E. P. E.GuardaPortugal
| | | | - Jácome Bruges Armas
- Hospital de Santo Espírito da Ilha Terceira, E. P. E.R.Angra do HeroísmoPortugal
| | - João Pereira‐Vaz
- Centro Hospitalar e Universitário de Coimbra, E. P. E.CoimbraPortugal
| | - José Alves
- Hospital Central e Universitário da MadeiraFunchalPortugal
| | | | - Luis Martins
- Instituto Português de Oncologia de Lisboa, Francisco Gentil, E.P. E.LisbonPortugal
| | - Luís Milho
- Laboratório de Saúde Pública Dr.ª Laura AyresFaroPortugal
| | - Luisa Mota‐Vieira
- Hospital do Divino Espirito Santo de Ponta Delgada, E. P. E. R.Ponta DelgadaPortugal
| | - Lurdes Lopes
- Centro Hospitalar e Universitário de Lisboa Central, E. P. E.LisbonPortugal
| | - Margarida Freitas
- Hospital da Senhora da Oliveira Guimarães, E. P. E.GuimarãesPortugal
| | | | - Maria Correia
- Centro Hospitalar e Universitário de Coimbra, E. P. E.CoimbraPortugal
| | | | | | | | - Mário Cunha
- Instituto Português de Oncologia de Lisboa, Francisco Gentil, E.P. E.LisbonPortugal
| | | | - Paula Mota
- Hospital da Senhora da Oliveira Guimarães, E. P. E.GuimarãesPortugal
| | - Paulo Lopes
- Centro Hospitalar de Vila Nova de Gaia/Espinho, E. P. E.Vila Nova de GaiaPortugal
| | - Paulo Pereira
- Centro Hospitalar Universitário do Porto, E. P. E.PortoPortugal
| | - Regina Viseu
- Centro Hospitalar de Setúbal, E. P. E.SetúbalPortugal
| | - Rita Cabral
- Hospital do Divino Espirito Santo de Ponta Delgada, E. P. E. R.Ponta DelgadaPortugal
| | - Rita Côrte‐Real
- Centro Hospitalar e Universitário de Lisboa Central, E. P. E.LisbonPortugal
| | - Sofia Almeida
- Centro Hospitalar Universitário Cova da Beira, E. P. E.CovilhãPortugal
| | - Vânia Soares
- Centro Hospitalar de Vila Nova de Gaia/Espinho, E. P. E.Vila Nova de GaiaPortugal
| | - Kamal Mansinho
- Centro Hospitalar de Lisboa Ocidental, E. P. E.LisbonPortugal
| | - Olav Hungnes
- Norwegian National Influenza CentreNorwegian Institute of Public HealthOsloNorway
| | - Baltazar Nunes
- Department of EpidemiologyNational Institute of Health Dr. Ricardo Jorge, IPLisbonPortugal
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8
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Daulagala P, Cheng SM, Chin A, Luk LL, Leung K, Wu JT, Poon LL, Peiris M, Yen HL. Avian Influenza A(H5N1) Neuraminidase Inhibition Antibodies in Healthy Adults after Exposure to Influenza A(H1N1)pdm09. Emerg Infect Dis 2024; 30:168-171. [PMID: 38147510 PMCID: PMC10756388 DOI: 10.3201/eid3001.230756] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023] Open
Abstract
We detected high titers of cross-reactive neuraminidase inhibition antibodies to influenza A(H5N1) virus clade 2.3.4.4b in 96.8% (61/63) of serum samples from healthy adults in Hong Kong in 2020. In contrast, antibodies at low titers were detected in 42% (21/50) of serum samples collected in 2009. Influenza A(H1N1)pdm09 and A(H5N1) titers were correlated.
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Affiliation(s)
- Pavithra Daulagala
- School of Public Health, The University of Hong Kong, Hong Kong, China (P. Daulagala, S.M.S. Cheng, A. Chin, L.H.L. Luk, K. Leung, J.T. Wu, L.L.M. Poon, M. Peiris, H.L. Yen)
- The University of Hong Kong–Shenzhen Hospital, Shenzhen, China (K. Leung)
- Centre for Immunology and Infection, Hong Kong Science Park, Hong Kong (L.L.M. Poon, M. Peiris)
| | - Samuel M.S. Cheng
- School of Public Health, The University of Hong Kong, Hong Kong, China (P. Daulagala, S.M.S. Cheng, A. Chin, L.H.L. Luk, K. Leung, J.T. Wu, L.L.M. Poon, M. Peiris, H.L. Yen)
- The University of Hong Kong–Shenzhen Hospital, Shenzhen, China (K. Leung)
- Centre for Immunology and Infection, Hong Kong Science Park, Hong Kong (L.L.M. Poon, M. Peiris)
| | - Alex Chin
- School of Public Health, The University of Hong Kong, Hong Kong, China (P. Daulagala, S.M.S. Cheng, A. Chin, L.H.L. Luk, K. Leung, J.T. Wu, L.L.M. Poon, M. Peiris, H.L. Yen)
- The University of Hong Kong–Shenzhen Hospital, Shenzhen, China (K. Leung)
- Centre for Immunology and Infection, Hong Kong Science Park, Hong Kong (L.L.M. Poon, M. Peiris)
| | - Leo L.H. Luk
- School of Public Health, The University of Hong Kong, Hong Kong, China (P. Daulagala, S.M.S. Cheng, A. Chin, L.H.L. Luk, K. Leung, J.T. Wu, L.L.M. Poon, M. Peiris, H.L. Yen)
- The University of Hong Kong–Shenzhen Hospital, Shenzhen, China (K. Leung)
- Centre for Immunology and Infection, Hong Kong Science Park, Hong Kong (L.L.M. Poon, M. Peiris)
| | - Kathy Leung
- School of Public Health, The University of Hong Kong, Hong Kong, China (P. Daulagala, S.M.S. Cheng, A. Chin, L.H.L. Luk, K. Leung, J.T. Wu, L.L.M. Poon, M. Peiris, H.L. Yen)
- The University of Hong Kong–Shenzhen Hospital, Shenzhen, China (K. Leung)
- Centre for Immunology and Infection, Hong Kong Science Park, Hong Kong (L.L.M. Poon, M. Peiris)
| | - Joseph T. Wu
- School of Public Health, The University of Hong Kong, Hong Kong, China (P. Daulagala, S.M.S. Cheng, A. Chin, L.H.L. Luk, K. Leung, J.T. Wu, L.L.M. Poon, M. Peiris, H.L. Yen)
- The University of Hong Kong–Shenzhen Hospital, Shenzhen, China (K. Leung)
- Centre for Immunology and Infection, Hong Kong Science Park, Hong Kong (L.L.M. Poon, M. Peiris)
| | - Leo L.M. Poon
- School of Public Health, The University of Hong Kong, Hong Kong, China (P. Daulagala, S.M.S. Cheng, A. Chin, L.H.L. Luk, K. Leung, J.T. Wu, L.L.M. Poon, M. Peiris, H.L. Yen)
- The University of Hong Kong–Shenzhen Hospital, Shenzhen, China (K. Leung)
- Centre for Immunology and Infection, Hong Kong Science Park, Hong Kong (L.L.M. Poon, M. Peiris)
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9
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Sun Y, Zhang T, Zhao X, Qian J, Jiang M, Jia M, Xu Y, Yang W, Feng L. High activity levels of avian influenza upwards 2018–2022: A global epidemiological overview of fowl and human infections. One Health 2023. [DOI: 10.1016/j.onehlt.2023.100511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023] Open
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10
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Sit TH, Sun W, Tse AC, Brackman CJ, Cheng SM, Tang AWY, Cheung JT, Peiris M, Poon LL. Novel Zoonotic Avian Influenza A(H3N8) Virus in Chicken, Hong Kong, China. Emerg Infect Dis 2022; 28:2009-2015. [PMID: 36037827 PMCID: PMC9514342 DOI: 10.3201/eid2810.221067] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Zoonotic and pandemic influenza continue to pose threats to global public health. Pandemics arise when novel influenza A viruses, derived in whole or in part from animal or avian influenza viruses, adapt to transmit efficiently in a human population that has little population immunity to contain its onward transmission. Viruses of previous pandemic concern, such as influenza A(H7N9), arose from influenza A(H9N2) viruses established in domestic poultry acquiring a hemagglutinin and neuraminidase from influenza A viruses of aquatic waterfowl. We report a novel influenza A(H3N8) virus in chicken that has emerged in a similar manner and that has been recently reported to cause zoonotic disease. Although they are H3 subtype, these avian viruses are antigenically distant from contemporary human influenza A(H3N2) viruses, and there is little cross-reactive immunity in the human population. It is essential to heighten surveillance for these avian A(H3N8) viruses in poultry and in humans.
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11
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Sun W, Cheng SSM, Lam KNT, Kwan TC, Wong RWK, Lau LHK, Liu GYZ, Luk LLH, Li JKC, Gu H, Peiris M, Poon LLM. Natural Reassortment of Eurasian Avian-Like Swine H1N1 and Avian H9N2 Influenza Viruses in Pigs, China. Emerg Infect Dis 2022; 28:1509-1512. [PMID: 35731193 PMCID: PMC9239857 DOI: 10.3201/eid2807.220642] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Several zoonotic influenza A viruses detected in humans contain genes derived from avian H9N2 subtypes. We uncovered a Eurasian avian-like H1N1 swine influenza virus with polymerase basic 1 and matrix gene segments derived from the H9N2 subtype, suggesting that H9N2 viruses are infecting pigs and reassorting with swine influenza viruses in China.
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