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Matsuzaki Y, Sugawara K, Kidoguchi Y, Kadowaki Y, Shimotai Y, Katsushima Y, Katsushima F, Tanaka S, Matoba Y, Komabayashi K, Aoki Y, Mizuta K. Genetic Reassortment in a Child Coinfected with Two Influenza B Viruses, B/Yamagata Lineage and B/Victoria-Lineage Strains. Viruses 2024; 16:983. [PMID: 38932274 PMCID: PMC11209448 DOI: 10.3390/v16060983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/14/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
We identified a child coinfected with influenza B viruses of B/Yamagata and B/Victoria lineages, in whom we analyzed the occurrence of genetic reassortment. Plaque purification was performed using a throat swab specimen from a 9-year-old child, resulting in 34 well-isolated plaques. The genomic composition of eight gene segments (HA, NA, PB1, PB2, PA, NP, M, and NS genes) for each plaque was determined at the lineage level. Of the 34 plaques, 21 (61.8%) had B/Phuket/3073/2013 (B/Yamagata)-like sequences in all gene segments, while the other 13 (38.2%) were reassortants with B/Texas/02/2013 (B/Victoria)-like sequences in 1-5 of the 8 segments. The PB1 segment had the most B/Victoria lineage genes (23.5%; 8 of 34 plaques), while PB2 and PA had the least (2.9%; 1 of 34 plaques). Reassortants with B/Victoria lineage genes in 2-5 segments showed the same level of growth as viruses with B/Yamagata lineage genes in all segments. However, reassortants with B/Victoria lineage genes only in the NA, PB1, NP, or NS segments exhibited reduced or undetectable growth. We demonstrated that various gene reassortments occurred in a child. These results suggest that simultaneous outbreaks of two influenza B virus lineages increase genetic diversity and could promote the emergence of new epidemic strains.
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Affiliation(s)
- Yoko Matsuzaki
- Department of Infectious Diseases, Yamagata University Faculty of Medicine, Yamagata 990-9585, Japan; (K.S.); (Y.K.); (Y.K.); (Y.S.)
| | - Kanetsu Sugawara
- Department of Infectious Diseases, Yamagata University Faculty of Medicine, Yamagata 990-9585, Japan; (K.S.); (Y.K.); (Y.K.); (Y.S.)
| | - Yuko Kidoguchi
- Department of Infectious Diseases, Yamagata University Faculty of Medicine, Yamagata 990-9585, Japan; (K.S.); (Y.K.); (Y.K.); (Y.S.)
| | - Yoko Kadowaki
- Department of Infectious Diseases, Yamagata University Faculty of Medicine, Yamagata 990-9585, Japan; (K.S.); (Y.K.); (Y.K.); (Y.S.)
| | - Yoshitaka Shimotai
- Department of Infectious Diseases, Yamagata University Faculty of Medicine, Yamagata 990-9585, Japan; (K.S.); (Y.K.); (Y.K.); (Y.S.)
| | - Yuriko Katsushima
- Katsushima Pediatric Clinic, Yamagata 990-2461, Japan; (Y.K.); (F.K.)
| | - Fumio Katsushima
- Katsushima Pediatric Clinic, Yamagata 990-2461, Japan; (Y.K.); (F.K.)
| | - Shizuka Tanaka
- Department of Microbiology, Yamagata Prefectural Institute of Public Health, Yamagata 990-0031, Japan; (S.T.); (Y.M.); (K.K.); (Y.A.); (K.M.)
| | - Yohei Matoba
- Department of Microbiology, Yamagata Prefectural Institute of Public Health, Yamagata 990-0031, Japan; (S.T.); (Y.M.); (K.K.); (Y.A.); (K.M.)
| | - Kenichi Komabayashi
- Department of Microbiology, Yamagata Prefectural Institute of Public Health, Yamagata 990-0031, Japan; (S.T.); (Y.M.); (K.K.); (Y.A.); (K.M.)
| | - Yoko Aoki
- Department of Microbiology, Yamagata Prefectural Institute of Public Health, Yamagata 990-0031, Japan; (S.T.); (Y.M.); (K.K.); (Y.A.); (K.M.)
| | - Katsumi Mizuta
- Department of Microbiology, Yamagata Prefectural Institute of Public Health, Yamagata 990-0031, Japan; (S.T.); (Y.M.); (K.K.); (Y.A.); (K.M.)
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Anoma S, Bhattarakosol P, Kowitdamrong E. Characteristics and evolution of hemagglutinin and neuraminidase genes of Influenza A(H3N2) viruses in Thailand during 2015 to 2018. PeerJ 2024; 12:e17523. [PMID: 38846750 PMCID: PMC11155671 DOI: 10.7717/peerj.17523] [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: 02/26/2024] [Accepted: 05/16/2024] [Indexed: 06/09/2024] Open
Abstract
Background Influenza A(H3N2) virus evolves continuously. Its hemagglutinin (HA) and neuraminidase (NA) genes have high genetic variation due to the antigenic drift. This study aimed to investigate the characteristics and evolution of HA and NA genes of the influenza A(H3N2) virus in Thailand. Methods Influenza A positive respiratory samples from 2015 to 2018 were subtyped by multiplex real-time RT-PCR. Full-length HA and NA genes from the positive samples of influenza A(H3N2) were amplified and sequenced. Phylogenetic analysis with the maximum likelihood method was used to investigate the evolution of the virus compared with the WHO-recommended influenza vaccine strain. Homology modeling and N-glycosylation site prediction were also performed. Results Out of 443 samples, 147 (33.18%) were A(H1N1)pdm09 and 296 (66.82%) were A(H3N2). The A(H3N2) viruses circulating in 2015 were clade 3C.2a whereas sub-clade 3C.2a1 and 3C.2a2 dominated in 2016-2017 and 2018, respectively. Amino acid substitutions were found in all antigenic sites A, B, C, D, and E of HA but the majority of the substitutions were located at antigenic sites A and B. The S245N and N329S substitutions in the NA gene affect the N-glycosylation. None of the mutations associated with resistance to NA inhibitors were observed. Mean evolutionary rates of the HA and NA genes were 3.47 × 10 -3 and 2.98 × 10-3 substitutions per site per year. Conclusion The influenza A(H3N2) virus is very genetically diverse and is always evolving to evade host defenses. The HA and NA gene features including the evolutionary rate of the influenza A(H3N2) viruses that were circulating in Thailand between 2015 and 2018 are described. This information is useful for monitoring the genetic characteristics and evolution in HA and NA genes of influenza A(H3N2) virus in Thailand which is crucial for predicting the influenza vaccine strains resulting in high vaccine effectiveness.
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Affiliation(s)
- Sasiprapa Anoma
- Interdisciplinary Program in Medical Microbiology, Graduated School, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Parvapan Bhattarakosol
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Ekasit Kowitdamrong
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Liu H, Shaw-Saliba K, Westerbeck J, Jacobs D, Fenstermacher K, Chao CY, Gong YN, Powell H, Ma Z, Mehoke T, Ernlund AW, Dziedzic A, Vyas S, Evans J, Sauer LM, Wu CC, Chen SH, Rothman RE, Thielen P, Chen KF, Pekosz A. Effect of human H3N2 influenza virus reassortment on influenza incidence and severity during the 2017-18 influenza season in the USA: a retrospective observational genomic analysis. THE LANCET. MICROBE 2024:S2666-5247(24)00067-3. [PMID: 38734029 DOI: 10.1016/s2666-5247(24)00067-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 02/15/2024] [Accepted: 02/29/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND During the 2017-18 influenza season in the USA, there was a high incidence of influenza illness and mortality. However, no apparent antigenic change was identified in the dominant H3N2 viruses, and the severity of the season could not be solely attributed to a vaccine mismatch. We aimed to investigate whether the altered virus properties resulting from gene reassortment were underlying causes of the increased case number and disease severity associated with the 2017-18 influenza season. METHODS Samples included were collected from patients with influenza who were prospectively recruited during the 2016-17 and 2017-18 influenza seasons at the Johns Hopkins Hospital Emergency Departments in Baltimore, MD, USA, as well as from archived samples from Johns Hopkins Health System sites. Among 647 recruited patients with influenza A virus infection, 411 patients with whole-genome sequences were available in the Johns Hopkins Center of Excellence for Influenza Research and Surveillance network during the 2016-17 and 2017-18 seasons. Phylogenetic trees were constructed based on viral whole-genome sequences. Representative viral isolates of the two seasons were characterised in immortalised cell lines and human nasal epithelial cell cultures, and patients' demographic data and clinical outcomes were analysed. FINDINGS Unique H3N2 reassortment events were observed, resulting in two predominant strains in the 2017-18 season: HA clade 3C.2a2 and clade 3C.3a, which had novel gene segment constellations containing gene segments from HA clade 3C.2a1 viruses. The reassortant re3C.2a2 viruses replicated with faster kinetics and to a higher peak titre compared with the parental 3C.2a2 and 3C.2a1 viruses (48 h vs 72 h). Furthermore, patients infected with reassortant 3C.2a2 viruses had higher Influenza Severity Scores than patients infected with the parental 3C.2a2 viruses (median 3·00 [IQR 1·00-4·00] vs 1·50 [1·00-2·00]; p=0·018). INTERPRETATION Our findings suggest that the increased severity of the 2017-18 influenza season was due in part to two intrasubtypes, cocirculating H3N2 reassortant viruses with fitness advantages over the parental viruses. This information could help inform future vaccine development and public health policies. FUNDING The Center of Excellence for Influenza Research and Response in the US, National Science and Technology Council, and Chang Gung Memorial Hospital in Taiwan.
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Affiliation(s)
- Hsuan Liu
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kathryn Shaw-Saliba
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jason Westerbeck
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David Jacobs
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katherine Fenstermacher
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chia-Yu Chao
- Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Nong Gong
- Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan
| | - Harrison Powell
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Zexu Ma
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Thomas Mehoke
- Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
| | - Amanda W Ernlund
- Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
| | - Amanda Dziedzic
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Siddhant Vyas
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jared Evans
- Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
| | - Lauren M Sauer
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chin-Chieh Wu
- Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Artificial Intelligence, College of Intelligent Computing, Chang Gung University, Taoyuan, Taiwan
| | - Shu-Hui Chen
- Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Richard E Rothman
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter Thielen
- Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA
| | - Kuan-Fu Chen
- Clinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan, Taiwan; Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Artificial Intelligence, College of Intelligent Computing, Chang Gung University, Taoyuan, Taiwan; Department of Emergency Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan.
| | - Andrew Pekosz
- W Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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Vigeveno RM, Han AX, de Vries RP, Parker E, de Haan K, van Leeuwen S, Hulme KD, Lauring AS, te Velthuis AJW, Boons GJ, Fouchier RAM, Russell CA, de Jong MD, Eggink D. Long-term evolution of human seasonal influenza virus A(H3N2) is associated with an increase in polymerase complex activity. Virus Evol 2024; 10:veae030. [PMID: 38808037 PMCID: PMC11131032 DOI: 10.1093/ve/veae030] [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: 01/26/2024] [Accepted: 04/08/2024] [Indexed: 05/30/2024] Open
Abstract
Since the influenza pandemic in 1968, influenza A(H3N2) viruses have become endemic. In this state, H3N2 viruses continuously evolve to overcome immune pressure as a result of prior infection or vaccination, as is evident from the accumulation of mutations in the surface glycoproteins hemagglutinin (HA) and neuraminidase (NA). However, phylogenetic studies have also demonstrated ongoing evolution in the influenza A(H3N2) virus RNA polymerase complex genes. The RNA polymerase complex of seasonal influenza A(H3N2) viruses produces mRNA for viral protein synthesis and replicates the negative sense viral RNA genome (vRNA) through a positive sense complementary RNA intermediate (cRNA). Presently, the consequences and selection pressures driving the evolution of the polymerase complex remain largely unknown. Here, we characterize the RNA polymerase complex of seasonal influenza A(H3N2) viruses representative of nearly 50 years of influenza A(H3N2) virus evolution. The H3N2 polymerase complex is a reassortment of human and avian influenza virus genes. We show that since 1968, influenza A(H3N2) viruses have increased the transcriptional activity of the polymerase complex while retaining a close balance between mRNA, vRNA, and cRNA levels. Interestingly, the increased polymerase complex activity did not result in increased replicative ability on differentiated human airway epithelial (HAE) cells. We hypothesize that the evolutionary increase in polymerase complex activity of influenza A(H3N2) viruses may compensate for the reduced HA receptor binding and avidity that is the result of the antigenic evolution of influenza A(H3N2) viruses.
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Affiliation(s)
- René M Vigeveno
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Alvin X Han
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Robert P de Vries
- Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Edyth Parker
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Karen de Haan
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sarah van Leeuwen
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Katina D Hulme
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Adam S Lauring
- Department of Microbiology and Immunology and Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, 1150 W. Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Aartjan J W te Velthuis
- Lewis Thomas Laboratory, Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ 08544, USA
| | - Geert-Jan Boons
- Department of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
- Complex Carbohydrate Research Center, University of Georgia, 315 Riverbend Road, Athens, GA 30602, USA
- Bijvoet Center for Biomolecular Research, Utrecht University, Padualaan 8, Utrecht 3584 CH, The Netherlands
- Department of Chemistry, University of Georgia, 315 Riverbend Rd, Athens, GA 30602, USA
| | - Ron A M Fouchier
- Department of Viroscience, Erasmus MC, Dr. Molewaterplein 50, Rotterdam 3015 GE, The Netherlands
| | - Colin A Russell
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Menno D de Jong
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Dirk Eggink
- Department of Medical Microbiology, Amsterdam UMC, Amsterdam, The Netherlands
- Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven 3721 MA, The Netherlands
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Lederhofer J, Tsybovsky Y, Nguyen L, Raab JE, Creanga A, Stephens T, Gillespie RA, Syeda HZ, Fisher BE, Skertic M, Yap C, Schaub AJ, Rawi R, Kwong PD, Graham BS, McDermott AB, Andrews SF, King NP, Kanekiyo M. Protective human monoclonal antibodies target conserved sites of vulnerability on the underside of influenza virus neuraminidase. Immunity 2024; 57:574-586.e7. [PMID: 38430907 PMCID: PMC10962683 DOI: 10.1016/j.immuni.2024.02.003] [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: 03/27/2023] [Revised: 12/02/2023] [Accepted: 02/06/2024] [Indexed: 03/05/2024]
Abstract
Continuously evolving influenza viruses cause seasonal epidemics and pose global pandemic threats. Although viral neuraminidase (NA) is an effective drug and vaccine target, our understanding of the NA antigenic landscape still remains incomplete. Here, we describe NA-specific human antibodies that target the underside of the NA globular head domain, inhibit viral propagation of a wide range of human H3N2, swine-origin variant H3N2, and H2N2 viruses, and confer both pre- and post-exposure protection against lethal H3N2 infection in mice. Cryo-EM structures of two such antibodies in complex with NA reveal non-overlapping epitopes covering the underside of the NA head. These sites are highly conserved among N2 NAs yet inaccessible unless the NA head tilts or dissociates. Our findings help guide the development of effective countermeasures against ever-changing influenza viruses by identifying hidden conserved sites of vulnerability on the NA underside.
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Affiliation(s)
- Julia Lederhofer
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yaroslav Tsybovsky
- Vaccine Research Center Electron Microscopy Unit, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD 21702, USA
| | - Lam Nguyen
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Julie E Raab
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adrian Creanga
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Tyler Stephens
- Vaccine Research Center Electron Microscopy Unit, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD 21702, USA
| | - Rebecca A Gillespie
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Hubza Z Syeda
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Brian E Fisher
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michelle Skertic
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Christina Yap
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Andrew J Schaub
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Reda Rawi
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Peter D Kwong
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Barney S Graham
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adrian B McDermott
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sarah F Andrews
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Neil P King
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Masaru Kanekiyo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
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Badar N, Ikram A, Salman M, Saeed S, Mirza HA, Ahad A, Umair M, Farooq U. Evolutionary analysis of seasonal influenza A viruses in Pakistan 2020-2023. Influenza Other Respir Viruses 2024; 18:e13262. [PMID: 38387887 PMCID: PMC10883786 DOI: 10.1111/irv.13262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 01/25/2024] [Accepted: 01/27/2024] [Indexed: 02/24/2024] Open
Abstract
INTRODUCTION Influenza A viruses cause global health concerns due to their high amino acid substitution rates. They are linked to yearly seasonal epidemics and occasional pandemics. This study focused on sequencing influenza A virus strains in Pakistan. MATERIALS AND METHODS We analyzed the genetic characteristics of influenza A(H1N1)pdm09 and A(H3N2) viruses circulating in Pakistan from January 2020 to January 2023. Whole genome sequences from influenza A (n = 126) virus isolates were amplified and sequenced by the Oxford Nanopore (MinION) platform. RESULTS The HA genes of influenza A(H1N1)pdm09 underwent amino acid substitutions at positions K54Q, A186T, Q189E, E224A, R259K, and K308R in sequenced samples. The HA genes of influenza A(H3N2) had amino acid substitutions at G53D, E83K, D104G, I140M, S205F, A212T, and K276R in the sequenced samples. Furthermore, the HA gene sequences of influenza A(H1N1)pdm09 in this study belonged to subclade 6B.1A.5a.2a. Similarly, the HA gene sequences of influenza A(H3N2) were classified under six subclades (3C.3a.1 and 3C.2a1b.2a [2, 2a.1, 2b, 2c, and 2a.3b]). Notably, amino acid substitutions in other gene segments of influenza A(H1N1)pdm09 and A(H3N2) were also found. CONCLUSION These findings indicate influenza A(H1N1)pdm09 and A(H3N2) viruses co-circulated during the 2020-2023 influenza season in Pakistan. Continued surveillance is crucial for real-time monitoring of possible high-virulence variation and their relevance to existing vaccine strains.
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Affiliation(s)
- Nazish Badar
- Public Health Laboratories DivisionNational Institute of HealthIslamabadPakistan
| | - Aamer Ikram
- National Institute of HealthIslamabadPakistan
| | - Muhammad Salman
- Public Health Laboratories DivisionNational Institute of HealthIslamabadPakistan
| | - Sidra Saeed
- Public Health Laboratories DivisionNational Institute of HealthIslamabadPakistan
| | - Hamza Ahmed Mirza
- Public Health Laboratories DivisionNational Institute of HealthIslamabadPakistan
| | - Abdul Ahad
- Public Health Laboratories DivisionNational Institute of HealthIslamabadPakistan
| | - Massab Umair
- Public Health Laboratories DivisionNational Institute of HealthIslamabadPakistan
| | - Umer Farooq
- National Agricultural Research CenterIslamabadPakistan
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Zhang M, Zhou J, Ni R, Zhao X, Chen Y, Sun Y, Liu Z, Han X, Luo C, Fu X, Shao Y. Genomic Analyses Uncover Evolutionary Features of Influenza A/H3N2 Viruses in Yunnan Province, China, from 2017 to 2022. Viruses 2024; 16:138. [PMID: 38257838 PMCID: PMC10820241 DOI: 10.3390/v16010138] [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: 12/24/2023] [Revised: 01/13/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
Influenza A viruses evolve at a high rate of nucleotide substitution, thereby requiring continuous monitoring to determine the efficacy of vaccines and antiviral drugs. In the current study, we performed whole-genome sequencing analyses of 253 influenza A/H3N2 strains from Yunnan Province, China, during 2017-2022. The hemagglutinin (HA) segments of Yunnan A/H3N2 strains isolated during 2017-2018 harbored a high genetic diversity due to heterogeneous distribution across branches. The mutation regularity of the predominant antigenic epitopes of HA segments in Yunnan was inconsistent in different years. Some important functional mutations in gene segments associated with viral adaptation and drug tolerance were revealed. The rapid genomic evolution of Yunnan A/H3N2 strains from 2017 to 2022 mainly concentrated on segments, i.e., matrix protein 2 (M2), non-structural protein 1 (NS1), neuraminidase (NA), NS2, and HA, with a high overall non-synonymous/synonymous substitution ratio (dN/dS). Our results highlighted a decline in vaccine efficacy against the A/H3N2 circulating strains, particularly against the Yunnan 2021-2022 A/H3N2 strains. These findings aid our understanding of evolutionary characteristics and epidemiological monitoring of the A/H3N2 viruses and provide in-depth insights into the protective efficacy of influenza vaccines.
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Affiliation(s)
- Meiling Zhang
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Jienan Zhou
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Ruize Ni
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Xiaonan Zhao
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Yaoyao Chen
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Yanhong Sun
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Zhaosheng Liu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Xiaoyu Han
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Chunrui Luo
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Xiaoqing Fu
- Department of Acute Infectious Diseases Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China; (M.Z.); (J.Z.); (R.N.); (X.Z.); (Y.C.); (Y.S.); (Z.L.); (X.H.); (C.L.)
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Chinese Academy of Sciences, Kunming Institute of Zoology, Kunming 650201, China
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8
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Han AX, de Jong SPJ, Russell CA. Co-evolution of immunity and seasonal influenza viruses. Nat Rev Microbiol 2023; 21:805-817. [PMID: 37532870 DOI: 10.1038/s41579-023-00945-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/04/2023] [Indexed: 08/04/2023]
Abstract
Seasonal influenza viruses cause recurring global epidemics by continually evolving to escape host immunity. The viral constraints and host immune responses that limit and drive the evolution of these viruses are increasingly well understood. However, it remains unclear how most of these advances improve the capacity to reduce the impact of seasonal influenza viruses on human health. In this Review, we synthesize recent progress made in understanding the interplay between the evolution of immunity induced by previous infections or vaccination and the evolution of seasonal influenza viruses driven by the heterogeneous accumulation of antibody-mediated immunity in humans. We discuss the functional constraints that limit the evolution of the viruses, the within-host evolutionary processes that drive the emergence of new virus variants, as well as current and prospective options for influenza virus control, including the viral and immunological barriers that must be overcome to improve the effectiveness of vaccines and antiviral drugs.
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Affiliation(s)
- Alvin X Han
- Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Simon P J de Jong
- Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Colin A Russell
- Department of Medical Microbiology & Infection Prevention, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
- Department of Global Health, School of Public Health, Boston University, Boston, MA, USA.
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9
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Wasik BR, Rothschild E, Voorhees IEH, Reedy SE, Murcia PR, Pusterla N, Chambers TM, Goodman LB, Holmes EC, Kile JC, Parrish CR. Understanding the divergent evolution and epidemiology of H3N8 influenza viruses in dogs and horses. Virus Evol 2023; 9:vead052. [PMID: 37692894 PMCID: PMC10484056 DOI: 10.1093/ve/vead052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/12/2023] [Accepted: 08/16/2023] [Indexed: 09/12/2023] Open
Abstract
Cross-species virus transmission events can lead to dire public health emergencies in the form of epidemics and pandemics. One example in animals is the emergence of the H3N8 equine influenza virus (EIV), first isolated in 1963 in Miami, FL, USA, after emerging among horses in South America. In the early 21st century, the American lineage of EIV diverged into two 'Florida' clades that persist today, while an EIV transferred to dogs around 1999 and gave rise to the H3N8 canine influenza virus (CIV), first reported in 2004. Here, we compare CIV in dogs and EIV in horses to reveal their host-specific evolution, to determine the sources and connections between significant outbreaks, and to gain insight into the factors controlling their different evolutionary fates. H3N8 CIV only circulated in North America, was geographically restricted after the first few years, and went extinct in 2016. Of the two EIV Florida clades, clade 1 circulates widely and shows frequent transfers between the USA and South America, Europe and elsewhere, while clade 2 was globally distributed early after it emerged, but since about 2018 has only been detected in Central Asia. Any potential zoonotic threat of these viruses to humans can only be determined with an understanding of its natural history and evolution. Our comparative analysis of these three viral lineages reveals distinct patterns and rates of sequence variation yet with similar overall evolution between clades, suggesting epidemiological intervention strategies for possible eradication of H3N8 EIV.
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Affiliation(s)
- Brian R Wasik
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Evin Rothschild
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Ian E H Voorhees
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Stephanie E Reedy
- Department of Veterinary Science, Gluck Equine Research Center, University of Kentucky, Lexington, KY 40546, USA
| | - Pablo R Murcia
- MRC-University of Glasgow Centre for Virus Research, School of Infection and Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G61 1QH, Scotland
| | - Nicola Pusterla
- Department of Medicine & Epidemiology, School Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Thomas M Chambers
- Department of Veterinary Science, Gluck Equine Research Center, University of Kentucky, Lexington, KY 40546, USA
| | - Laura B Goodman
- Baker Institute for Animal Health, Department of Public and Ecosystems Health, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
| | - Edward C Holmes
- Sydney Institute for Infectious Diseases, School of Medical Sciences, University of Sydney, Sydney, NSW 2006, Australia
| | - James C Kile
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | - Colin R Parrish
- Baker Institute for Animal Health, Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA
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10
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Farrell A, Phan T, Brooke CB, Koelle K, Ke R. Semi-infectious particles contribute substantially to influenza virus within-host dynamics when infection is dominated by spatial structure. Virus Evol 2023; 9:vead020. [PMID: 37538918 PMCID: PMC10395763 DOI: 10.1093/ve/vead020] [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: 08/20/2022] [Revised: 03/01/2023] [Accepted: 03/17/2023] [Indexed: 08/05/2023] Open
Abstract
Influenza is an ribonucleic acid virus with a genome that comprises eight segments. Experiments show that the vast majority of virions fail to express one or more gene segments and thus cannot cause a productive infection on their own. These particles, called semi-infectious particles (SIPs), can induce virion production through complementation when multiple SIPs are present in an infected cell. Previous within-host influenza models did not explicitly consider SIPs and largely ignore the potential effects of coinfection during virus infection. Here, we constructed and analyzed two distinct models explicitly keeping track of SIPs and coinfection: one without spatial structure and the other implicitly considering spatial structure. While the model without spatial structure fails to reproduce key aspects of within-host influenza virus dynamics, we found that the model implicitly considering the spatial structure of the infection process makes predictions that are consistent with biological observations, highlighting the crucial role that spatial structure plays during an influenza infection. This model predicts two phases of viral growth prior to the viral peak: a first phase driven by fully infectious particles at the initiation of infection followed by a second phase largely driven by coinfections of fully infectious particles and SIPs. Fitting this model to two sets of data, we show that SIPs can contribute substantially to viral load during infection. Overall, the model provides a new interpretation of the in vivo exponential viral growth observed in experiments and a mechanistic explanation for why the production of large numbers of SIPs does not strongly impede viral growth. Being simple and predictive, our model framework serves as a useful tool to understand coinfection dynamics in spatially structured acute viral infections.
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Affiliation(s)
| | - Tin Phan
- T-6, Theoretical Biology and Biophysics, Los Alamos, NM 87545, USA
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11
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High-throughput droplet-based analysis of influenza A virus genetic reassortment by single-virus RNA sequencing. Proc Natl Acad Sci U S A 2023; 120:e2211098120. [PMID: 36730204 PMCID: PMC9963642 DOI: 10.1073/pnas.2211098120] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
The segmented RNA genome of influenza A viruses (IAVs) enables viral evolution through genetic reassortment after multiple IAVs coinfect the same cell, leading to viruses harboring combinations of eight genomic segments from distinct parental viruses. Existing data indicate that reassortant genotypes are not equiprobable; however, the low throughput of available virology techniques does not allow quantitative analysis. Here, we have developed a high-throughput single-cell droplet microfluidic system allowing encapsulation of IAV-infected cells, each cell being infected by a single progeny virion resulting from a coinfection process. Customized barcoded primers for targeted viral RNA sequencing enabled the analysis of 18,422 viral genotypes resulting from coinfection with two circulating human H1N1pdm09 and H3N2 IAVs. Results were highly reproducible, confirmed that genetic reassortment is far from random, and allowed accurate quantification of reassortants including rare events. In total, 159 out of the 254 possible reassortant genotypes were observed but with widely varied prevalence (from 0.038 to 8.45%). In cells where eight segments were detected, all 112 possible pairwise combinations of segments were observed. The inclusion of data from single cells where less than eight segments were detected allowed analysis of pairwise cosegregation between segments with very high confidence. Direct coupling analysis accurately predicted the fraction of pairwise segments and full genotypes. Overall, our results indicate that a large proportion of reassortant genotypes can emerge upon coinfection and be detected over a wide range of frequencies, highlighting the power of our tool for systematic and exhaustive monitoring of the reassortment potential of IAVs.
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12
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Wang M, Li H, Liu S, Ge L, Muhmood A, Liu D, Gan F, Liu Y, Chen X, Huang K. Lipopolysaccharide aggravates canine influenza a (H3N2) virus infection and lung damage via mTOR/autophagy in vivo and in vitro. Food Chem Toxicol 2023; 172:113597. [PMID: 36596444 DOI: 10.1016/j.fct.2022.113597] [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: 07/26/2022] [Revised: 12/23/2022] [Accepted: 12/28/2022] [Indexed: 01/02/2023]
Abstract
Influenza A (H3N2) accounts for the majority of influenza worldwide and continues to challenge human health. Disturbance in the gut microbiota caused by many diseases leads to increased production of lipopolysaccharide (LPS), and LPS induces sepsis and conditions associated with local or systemic inflammation. However, to date, little attention has been paid to the potential impact of LPS on influenza A (H3N2) infection and the potential mechanism. Hence, in this study we used canine influenza A (H3N2) virus (CIV) as a model of influenza A virus to investigate the effect of low-dose of LPS on CIV replication and lung damage and explore the underlying mechanism in mice and A549 and HPAEpiC cells. The results showed that LPS (25 μg/kg) increased CIV infection and lung damage in mice, as indicated by pulmonary virus titer, viral NP levels, lung index, and pulmonary histopathology. LPS (1 μg/ml) also increased CIV replication in A549 cells as indicated by the above same parameters. Furthermore, low doses of LPS reduced CIV-induced p-mTOR protein expression and enhanced CIV-induced autophagy-related mRNA/protein expressions in vivo and in vitro. In addition, the use of the mTOR activator, MHY1485, reversed CIV-induced autophagy and CIV replication in A549 and HPAEpiC cells, respectively. siATG5 alleviated CIV replication exacerbated by LPS in the two lines. In conclusion, LPS aggravates CIV infection and lung damage via mTOR/autophagy.
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Affiliation(s)
- Mengmeng Wang
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Haolei Li
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Shuiping Liu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Lei Ge
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Azhar Muhmood
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Dandan Liu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Fang Gan
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Yunhuan Liu
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Xingxiang Chen
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Kehe Huang
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; Institute of Nutritional and Metabolic Disorders in Domestic Animals and Fowls, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China; MOE Joint International Research Laboratory of Animal Health and Food Safety, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China.
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13
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Wang Y, Dong C, Ma Y, Zhu W, Gill HS, Denning TL, Kang SM, Wang BZ. Monophosphoryl lipid A-adjuvanted nucleoprotein-neuraminidase nanoparticles improve immune protection against divergent influenza viruses. NANOMEDICINE : NANOTECHNOLOGY, BIOLOGY, AND MEDICINE 2023; 47:102614. [PMID: 36265560 PMCID: PMC9756393 DOI: 10.1016/j.nano.2022.102614] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/29/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
Universal influenza vaccines are urgently needed to prevent recurrent influenza epidemics and inevitable pandemics. We generated double-layered protein nanoparticles incorporating two conserved influenza antigens-nucleoprotein and neuraminidase-through a two-step desolvation-crosslinking method. These protein nanoparticles displayed immunostimulatory properties to antigen-presenting cells by promoting inflammatory cytokine (IL-6 and TNF-α) secretion from JAWS II dendric cells. The nanoparticle immunization induced significant antigen-specific humoral and cellular responses, including antigen-binding and neutralizing antibodies, antibody- and cytokine (IFN-γ and IL-4)-secreting cells, and NP147-155 tetramer-specific cytotoxic T lymphocyte (CTL) responses. Co-administration of monophosphoryl lipid A (MPLA, a toll-like receptor 4 agonist) with the protein nanoparticles further improved immune responses and conferred heterologous and heterosubtypic influenza protection. The MPLA-adjuvanted nanoparticles reduced lung inflammation post-infection. The results demonstrated that the combination of MPLA and conserved protein nanoparticles could be developed into an improved universal influenza vaccine strategy.
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Affiliation(s)
- Ye Wang
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Ave SE, Atlanta, GA 30303, USA
| | - Chunhong Dong
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Ave SE, Atlanta, GA 30303, USA
| | - Yao Ma
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Ave SE, Atlanta, GA 30303, USA
| | - Wandi Zhu
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Ave SE, Atlanta, GA 30303, USA
| | - Harvinder Singh Gill
- Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA
| | - Timothy L Denning
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Ave SE, Atlanta, GA 30303, USA
| | - Sang-Moo Kang
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Ave SE, Atlanta, GA 30303, USA
| | - Bao-Zhong Wang
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Ave SE, Atlanta, GA 30303, USA.
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14
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Phyu WW, Saito R, Kyaw Y, Lin N, Win SMK, Win NC, Ja LD, Htwe KTZ, Aung TZ, Tin HH, Pe EH, Chon I, Wagatsuma K, Watanabe H. Evolutionary Dynamics of Whole-Genome Influenza A/H3N2 Viruses Isolated in Myanmar from 2015 to 2019. Viruses 2022; 14:v14112414. [PMID: 36366512 PMCID: PMC9699102 DOI: 10.3390/v14112414] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/29/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
This study aimed to analyze the genetic and evolutionary characteristics of the influenza A/H3N2 viruses circulating in Myanmar from 2015 to 2019. Whole genomes from 79 virus isolates were amplified using real-time polymerase chain reaction and successfully sequenced using the Illumina iSeq100 platforms. Eight individual phylogenetic trees were retrieved for each segment along with those of the World Health Organization (WHO)-recommended Southern Hemisphere vaccine strains for the respective years. Based on the WHO clades classification, the A/H3N2 strains in Myanmar from 2015 to 2019 collectively belonged to clade 3c.2. These strains were further defined based on hemagglutinin substitutions as follows: clade 3C.2a (n = 39), 3C.2a1 (n = 2), and 3C.2a1b (n = 38). Genetic analysis revealed that the Myanmar strains differed from the Southern Hemisphere vaccine strains each year, indicating that the vaccine strains did not match the circulating strains. The highest rates of nucleotide substitution were estimated for hemagglutinin (3.37 × 10-3 substitutions/site/year) and neuraminidase (2.89 × 10-3 substitutions/site/year). The lowest rate was for non-structural protein segments (4.19 × 10-5 substitutions/site/year). The substantial genetic diversity that was revealed improved phylogenetic classification. This information will be particularly relevant for improving vaccine strain selection.
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Affiliation(s)
- Wint Wint Phyu
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Correspondence: ; Tel.: +81-25-227-2129
| | - Reiko Saito
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Yadanar Kyaw
- Respiratory Medicine Department, ThingangyunSanpya General Hospital, Yangon 110-71, Myanmar
| | - Nay Lin
- Microbiology Section, (200) Bedded Pyinmana General Hospital, Naypyitaw 150-31, Myanmar
| | - Su Mon Kyaw Win
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Nay Chi Win
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Lasham Di Ja
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Khin Thu Zar Htwe
- Department of Microbiology, University of Medicine, Mandalay 050-21, Myanmar
| | - Thin Zar Aung
- Microbiology Section, Mandalay General Hospital, Mandalay 050-31, Myanmar
| | - Htay Htay Tin
- National Health Laboratory, Department of Medical Services, Dagon Township, Yangon 111-91, Myanmar
| | - Eh Htoo Pe
- National Health Laboratory, Department of Medical Services, Dagon Township, Yangon 111-91, Myanmar
| | - Irina Chon
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
| | - Keita Wagatsuma
- Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
- Japan Society for the Promotion of Science, Tokyo 102-0083, Japan
| | - Hisami Watanabe
- Infectious Diseases Research Center of Niigata University in Myanmar (IDRC), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, Japan
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15
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Rcheulishvili N, Papukashvili D, Liu C, Ji Y, He Y, Wang PG. Promising strategy for developing mRNA-based universal influenza virus vaccine for human population, poultry, and pigs- focus on the bigger picture. Front Immunol 2022; 13:1025884. [PMID: 36325349 PMCID: PMC9618703 DOI: 10.3389/fimmu.2022.1025884] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/03/2022] [Indexed: 08/08/2023] Open
Abstract
Since the first outbreak in the 19th century influenza virus has remained emergent owing to the huge pandemic potential. Only the pandemic of 1918 caused more deaths than any war in world history. Although two types of influenza- A (IAV) and B (IBV) cause epidemics annually, influenza A deserves more attention as its nature is much wilier. IAVs have a large animal reservoir and cause the infection manifestation not only in the human population but in poultry and domestic pigs as well. This many-sided characteristic of IAV along with the segmented genome gives rise to the antigenic drift and shift that allows evolving the new strains and new subtypes, respectively. As a result, the immune system of the body is unable to recognize them. Importantly, several highly pathogenic avian IAVs have already caused sporadic human infections with a high fatality rate (~60%). The current review discusses the promising strategy of using a potentially universal IAV mRNA vaccine based on conserved elements for humans, poultry, and pigs. This will better aid in averting the outbreaks in different susceptible species, thus, reduce the adverse impact on agriculture, and economics, and ultimately, prevent deadly pandemics in the human population.
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Affiliation(s)
| | | | | | | | - Yunjiao He
- *Correspondence: Yunjiao He, ; Peng George Wang,
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16
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Sun YX, Li ZR, Zhang PJ, Han JH, Di HY, Qin JY, Cong YL. A Single Vaccination of Chimeric Bivalent Virus-Like Particle Vaccine Confers Protection Against H9N2 and H3N2 Avian Influenza in Commercial Broilers and Allows a Strategy of Differentiating Infected from Vaccinated Animals. Front Immunol 2022; 13:902515. [PMID: 35874682 PMCID: PMC9304867 DOI: 10.3389/fimmu.2022.902515] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/17/2022] [Indexed: 11/17/2022] Open
Abstract
H9N2 and H3N2 are the two most important subtypes of low pathogenic avian influenza viruses (LPAIV) because of their ongoing threat to the global poultry industry and public health. Although commercially available inactivated H9N2 vaccines are widely used in the affected countries, endemic H9N2 avian influenza remains uncontrolled. In addition, there is no available avian H3N2 vaccine. Influenza virus-like particles (VLPs) are one of the most promising vaccine alternatives to traditional egg-based vaccines. In this study, to increase the immunogenic content of VLPs to reduce production costs, we developed chimeric bivalent VLPs (cbVLPs) co-displaying hemagglutinin (HA) and neuraminidase (NA) of H9N2 and H3N2 viruses with the Gag protein of bovine immunodeficiency virus (BIV) as the inner core using the Bac-to-Bac baculovirus expression system. The results showed that a single immunization of chickens with 40μg/0.3mL cbVLPs elicited an effective immune response and provided complete protection against H9N2 and H3N2 viruses. More importantly, cbVLPs with accompanying serological assays can successfully accomplish the strategy of differentiating infected animals from vaccinated animals (DIVA), making virus surveillance easier. Therefore, this cbVLP vaccine candidate would be a promising alternative to conventional vaccines, showing great potential for commercial development.
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Affiliation(s)
- Yi-xue Sun
- Laboratory of Infectious Diseases, College of Veterinary Medicine; Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China
- Jilin Research and Development Center of Biomedical Engineering, Changchun University, Changchun, China
| | - Zheng-rong Li
- Laboratory of Infectious Diseases, College of Veterinary Medicine; Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China
| | - Peng-ju Zhang
- Institute of Animal Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
- *Correspondence: Yan-long Cong, ; orcid.org/0000-0001-9497-4882
| | - Jin-hong Han
- Laboratory of Infectious Diseases, College of Veterinary Medicine; Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China
| | - Hai-yang Di
- Department of Disease Prevention and Control, Zoological and Botanical Garden of Changchun, Changchun, China
| | - Jia-yi Qin
- Laboratory of Infectious Diseases, College of Veterinary Medicine; Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China
| | - Yan-long Cong
- Laboratory of Infectious Diseases, College of Veterinary Medicine; Key Laboratory of Zoonosis Research, Ministry of Education, Jilin University, Changchun, China
- *Correspondence: Yan-long Cong, ; orcid.org/0000-0001-9497-4882
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17
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Funk M, de Bruin ACM, Spronken MI, Gultyaev AP, Richard M. In Silico Analyses of the Role of Codon Usage at the Hemagglutinin Cleavage Site in Highly Pathogenic Avian Influenza Genesis. Viruses 2022; 14:v14071352. [PMID: 35891333 PMCID: PMC9316147 DOI: 10.3390/v14071352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 06/10/2022] [Accepted: 06/13/2022] [Indexed: 02/01/2023] Open
Abstract
A vast diversity of 16 influenza hemagglutinin (HA) subtypes are found in birds. Interestingly, viruses from only two subtypes, H5 and H7, have so far evolved into highly pathogenic avian influenza viruses (HPAIVs) following insertions or substitutions at the HA cleavage site by the viral polymerase. The mechanisms underlying this striking subtype specificity are still unknown. Here, we compiled a comprehensive dataset of 20,488 avian influenza virus HA sequences to investigate differences in nucleotide and amino acid usage at the HA cleavage site between subtypes and how these might impact the genesis of HPAIVs by polymerase stuttering and realignment. We found that sequences of the H5 and H7 subtypes stand out by their high purine content at the HA cleavage site. In addition, fewer substitutions were necessary in H5 and H7 HAs than in HAs from other subtypes to acquire an insertion-prone HA cleavage site sequence, as defined based on in vitro and in vivo data from the literature. Codon usage was more favorable for HPAIV genesis in sequences of viruses isolated from species or geographical regions in which HPAIV genesis is more frequently observed in nature. The results of the present analyses suggest that the subtype restriction of HPAIV genesis to H5 and H7 influenza viruses might be due to the particular codon usage at the HA cleavage site in these subtypes.
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Affiliation(s)
- Mathis Funk
- Department of Viroscience, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands; (M.F.); (A.C.M.d.B.); (M.I.S.); (A.P.G.)
| | - Anja C. M. de Bruin
- Department of Viroscience, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands; (M.F.); (A.C.M.d.B.); (M.I.S.); (A.P.G.)
| | - Monique I. Spronken
- Department of Viroscience, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands; (M.F.); (A.C.M.d.B.); (M.I.S.); (A.P.G.)
| | - Alexander P. Gultyaev
- Department of Viroscience, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands; (M.F.); (A.C.M.d.B.); (M.I.S.); (A.P.G.)
- Group Imaging and Bioinformatics, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, 2300 RA Leiden, The Netherlands
| | - Mathilde Richard
- Department of Viroscience, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands; (M.F.); (A.C.M.d.B.); (M.I.S.); (A.P.G.)
- Correspondence:
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18
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He D, Wang X, Wu H, Wang X, Yan Y, Li Y, Zhan T, Hao X, Hu J, Hu S, Liu X, Ding C, Su S, Gu M, Liu X. Genome-Wide Reassortment Analysis of Influenza A H7N9 Viruses Circulating in China during 2013-2019. Viruses 2022; 14:v14061256. [PMID: 35746727 PMCID: PMC9230085 DOI: 10.3390/v14061256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/29/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
Reassortment with the H9N2 virus gave rise to the zoonotic H7N9 avian influenza virus (AIV), which caused more than five outbreak waves in humans, with high mortality. The frequent exchange of genomic segments between H7N9 and H9N2 has been well-documented. However, the reassortment patterns have not been described and are not yet fully understood. Here, we used phylogenetic analyses to investigate the patterns of intersubtype and intrasubtype/intralineage reassortment across the eight viral segments. The H7N9 virus and its progeny frequently exchanged internal genes with the H9N2 virus but rarely with the other AIV subtypes. Before beginning the intrasubtype/intralineage reassortment analyses, five Yangtze River Delta (YRD A-E) and two Pearl River Delta (PRD A-B) clusters were divided according to the HA gene phylogeny. The seven reset segment genes were also nomenclatured consistently. As revealed by the tanglegram results, high intralineage reassortment rates were determined in waves 2–3 and 5. Additionally, the clusters of PB2 c05 and M c02 were the most dominant in wave 5, which could have contributed to the onset of the largest H7N9 outbreak in 2016–2017. Meanwhile, a portion of the YRD-C cluster (HP H7N9) inherited their PB2, PA, and M segments from the co-circulating YRD-E (LP H7N9) cluster during wave 5. Untanglegram results revealed that the reassortment rate between HA and NA was lower than HA with any of the other six segments. A multidimensional scaling plot revealed a robust genetic linkage between the PB2 and PA genes, indicating that they may share a co-evolutionary history. Furthermore, we observed relatively more robust positive selection pressure on HA, NA, M2, and NS1 proteins. Our findings demonstrate that frequent reassortment, particular reassorted patterns, and adaptive mutations shaped the H7N9 viral genetic diversity and evolution. Increased surveillance is required immediately to better understand the current state of the HP H7N9 AIV.
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Affiliation(s)
- Dongchang He
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiyue Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Huiguang Wu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Yayao Yan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Yang Li
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Tiansong Zhan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiaoli Hao
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Jiao Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Shunlin Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Chan Ding
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Shuo Su
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China;
| | - Min Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Correspondence: (M.G.); (X.L.)
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Correspondence: (M.G.); (X.L.)
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19
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Nabakooza G, Galiwango R, Frost SDW, Kateete DP, Kitayimbwa JM. Molecular Epidemiology and Evolutionary Dynamics of Human Influenza Type-A Viruses in Africa: A Systematic Review. Microorganisms 2022; 10:900. [PMID: 35630344 PMCID: PMC9145646 DOI: 10.3390/microorganisms10050900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 02/01/2023] Open
Abstract
Genomic characterization of circulating influenza type-A viruses (IAVs) directs the selection of appropriate vaccine formulations and early detection of potentially pandemic virus strains. However, longitudinal data on the genomic evolution and transmission of IAVs in Africa are scarce, limiting Africa's benefits from potential influenza control strategies. We searched seven databases: African Journals Online, Embase, Global Health, Google Scholar, PubMed, Scopus, and Web of Science according to the PRISMA guidelines for studies that sequenced and/or genomically characterized Africa IAVs. Our review highlights the emergence and diversification of IAVs in Africa since 1993. Circulating strains continuously acquired new amino acid substitutions at the major antigenic and potential N-linked glycosylation sites in their hemagglutinin proteins, which dramatically affected vaccine protectiveness. Africa IAVs phylogenetically mixed with global strains forming strong temporal and geographical evolution structures. Phylogeographic analyses confirmed that viral migration into Africa from abroad, especially South Asia, Europe, and North America, and extensive local viral mixing sustained the genomic diversity, antigenic drift, and persistence of IAVs in Africa. However, the role of reassortment and zoonosis remains unknown. Interestingly, we observed substitutions and clades and persistent viral lineages unique to Africa. Therefore, Africa's contribution to the global influenza ecology may be understated. Our results were geographically biased, with data from 63% (34/54) of African countries. Thus, there is a need to expand influenza surveillance across Africa and prioritize routine whole-genome sequencing and genomic analysis to detect new strains early for effective viral control.
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Affiliation(s)
- Grace Nabakooza
- Department of Immunology and Molecular Biology, Makerere University, Old Mulago Hill Road, P.O. Box 7072, Kampala 256, Uganda;
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda; (R.G.); (J.M.K.)
| | - Ronald Galiwango
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda; (R.G.); (J.M.K.)
- Centre for Computational Biology, Uganda Christian University, Plot 67-173, Bishop Tucker Road, P.O. Box 4, Mukono 256, Uganda
- African Center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala 256, Uganda
| | - Simon D. W. Frost
- Microsoft Research, Redmond, 14820 NE 36th Street, Washington, DC 98052, USA;
- London School of Hygiene & Tropical Medicine (LSHTM), University of London, Keppel Street, Bloomsbury, London WC1E7HT, UK
| | - David P. Kateete
- Department of Immunology and Molecular Biology, Makerere University, Old Mulago Hill Road, P.O. Box 7072, Kampala 256, Uganda;
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda; (R.G.); (J.M.K.)
| | - John M. Kitayimbwa
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda; (R.G.); (J.M.K.)
- Centre for Computational Biology, Uganda Christian University, Plot 67-173, Bishop Tucker Road, P.O. Box 4, Mukono 256, Uganda
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20
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Multiple Neuraminidase Containing Influenza Virus-Like Particle Vaccines Protect Mice from Avian and Human Influenza Virus Infection. Viruses 2022; 14:v14020429. [PMID: 35216022 PMCID: PMC8875606 DOI: 10.3390/v14020429] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 12/04/2022] Open
Abstract
Avian influenza virus remains a threat for humans, and vaccines preventing both avian and human influenza virus infections are needed. Since virus-like particles (VLPs) expressing single neuraminidase (NA) subtype elicited limited heterosubtypic protection, VLPs expressing multiple NA subtypes would enhance the extent of heterosubtypic immunity. Here, we generated avian influenza VLP vaccines displaying H5 hemagglutinin (HA) antigen with or without avian NA subtypes (N1, N6, N8) in different combinations. BALB/c mice were intramuscularly immunized with the VLPs to evaluate the resulting homologous and heterosubtypic immunity upon challenge infections with the avian and human influenza viruses (A/H5N1, A/H3N2, A/H1N1). VLPs expressing H5 alone conferred homologous protection but not heterosubtypic protection, whereas VLPs co-expressing H5 and NA subtypes elicited both homologous and heterosubtypic protection against human influenza viruses in mice. We observed that VLP induced neuraminidase inhibitory activities (NAI), virus-neutralizing activity, and virus-specific antibody (IgG, IgA) responses were strongly correlated with the number of different NA subtype expressions on the VLPs. VLPs expressing all 3 NA subtypes resulted in the highest protection, indicated by the lowest lung titer, negligible body weight changes, and survival in immunized mice. These results suggest that expressing multiple neuraminidases in avian HA VLPs is a promising approach for developing a universal influenza A vaccine against avian and human influenza virus infections.
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21
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Nabakooza G, Pastusiak A, Kateete DP, Lutwama JJ, Kitayimbwa JM, Frost SDW. Whole-genome analysis to determine the rate and patterns of intra-subtype reassortment among influenza type-A viruses in Africa. Virus Evol 2022; 8:veac005. [PMID: 35317349 PMCID: PMC8933723 DOI: 10.1093/ve/veac005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 01/13/2022] [Accepted: 01/28/2022] [Indexed: 12/05/2022] Open
Abstract
Influenza type-A viruses (IAVs) present a global burden of human respiratory infections and mortality. Genome reassortment is an important mechanism through which epidemiologically novel influenza viruses emerge and a core step in the safe reassortment-incompetent live-attenuated influenza vaccine development. Currently, there are no data on the rate, spatial and temporal distribution, and role of reassortment in the evolution and diversification of IAVs circulating in Africa. We aimed to detect intra-subtype reassortment among Africa pandemic H1N1pdm09 (2009-10), seasonal H1N1pdm09 (2011-20), and seasonal H3N2 viruses and characterize the genomic architecture and temporal and spatial distribution patterns of the resulting reassortants. Our study was nested within the Uganda National Influenza Surveillance Programme. Next-generation sequencing was used to generate whole genomes (WGs) from 234 H1N1pdm09 (n = 116) and H3N2 (n = 118) viruses sampled between 2010 and 2018 from seven districts in Uganda. We combined our newly generated WGs with 658 H1N1pdm09 and 1131 H3N2 WGs sampled between 1994 and 2020 across Africa and identified reassortants using an automated Graph Incompatibility Based Reassortment Finder software. Viral reassortment rates were estimated using a coalescent reassortant constant population model. Phylogenetic analysis was used to assess the effect of reassortment on viral genetic evolution. We observed a high frequency of intra-subtype reassortment events, 12 · 4 per cent (94/758) and 20 · 9 per cent (256/1,224), and reassortants, 13 · 3 per cent (101/758) and 38 · 6 per cent (472/1,224), among Africa H1N1pdm09 and H3N2 viruses, respectively. H1N1pdm09 reassorted at higher rates (0.1237-0.4255) than H3N2 viruses (0 · 00912-0.0355 events/lineage/year), a case unique to Uganda. Viral reassortants were sampled in 2009 through 2020, except in 2012. 78 · 2 per cent (79/101) of H1N1pdm09 reassortants acquired new non-structural, while 57 · 8 per cent (273/472) of the H3N2 reassortants had new hemagglutinin (H3) genes. Africa H3N2 viruses underwent more reassortment events involving larger reassortant sets than H1N1pdm09 viruses. Viruses with a specific reassortment architecture circulated for up to five consecutive years in specific countries and regions. The Eastern (Uganda and Kenya) and Western Africa harboured 84 · 2 per cent (85/101) and 55 · 9 per cent (264/472) of the continent's H1N1pdm09 and H3N2 reassortants, respectively. The frequent reassortment involving multi-genes observed among Africa IAVs showed the intracontinental viral evolution and diversification possibly sustained by viral importation from outside Africa and/or local viral genomic mixing and transmission. Novel reassortant viruses emerged every year, and some persisted in different countries and regions, thereby presenting a risk of influenza outbreaks in Africa. Our findings highlight Africa as part of the global influenza ecology and the advantage of implementing routine whole-over partial genome sequencing and analyses to monitor circulating and detect emerging viruses. Furthermore, this study provides evidence and heightens our knowledge on IAV evolution, which is integral in directing vaccine strain selection and the update of master donor viruses used in recombinant vaccine development.
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Affiliation(s)
- Grace Nabakooza
- Department of Immunology and Molecular Biology, Makerere University, Old Mulago Hill Road, P.O Box 7072, Kampala, Uganda
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe, Uganda
- Centre for Computational Biology, Uganda Christian University, Plot 67-173, Bishop Tucker Rd, P.O BOX 4, Mukono, Uganda
| | | | - David Patrick Kateete
- Department of Immunology and Molecular Biology, Makerere University, Old Mulago Hill Road, P.O Box 7072, Kampala, Uganda
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe, Uganda
| | - Julius Julian Lutwama
- Department of Arbovirology Emerging & Re-Emerging Infectious Diseases, Uganda Virus Research Institute (UVRI), Plot No: 51-59, Nakiwogo Road, P.O. Box 49, Entebbe, Uganda
| | - John Mulindwa Kitayimbwa
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe, Uganda
- Centre for Computational Biology, Uganda Christian University, Plot 67-173, Bishop Tucker Rd, P.O BOX 4, Mukono, Uganda
| | - Simon David William Frost
- Microsoft Research, 14820 NE 36th Street, Redmond, WA 98052, USA
- London School of Hygiene & Tropical Medicine (LSHTM), Keppel St, Bloomsbury, London WC1E 7HT, UK
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22
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Keresztes G, Baer M, Alfenito MR, Verwoerd TC, Kovalchuk A, Wiebe MG, Andersen TK, Saloheimo M, Tchelet R, Kensinger R, Grødeland G, Emalfarb M. The Highly Productive Thermothelomyces heterothallica C1 Expression System as a Host for Rapid Development of Influenza Vaccines. Vaccines (Basel) 2022; 10:vaccines10020148. [PMID: 35214607 PMCID: PMC8877961 DOI: 10.3390/vaccines10020148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/11/2022] [Accepted: 01/12/2022] [Indexed: 01/27/2023] Open
Abstract
(1) Influenza viruses constantly change and evade prior immune responses, forcing seasonal re-vaccinations with updated vaccines. Current FDA-approved vaccine manufacturing technologies are too slow and/or expensive to quickly adapt to mid-season changes in the virus or to the emergence of pandemic strains. Therefore, cost-effective vaccine technologies that can quickly adapt to newly emerged strains are desirable. (2) The filamentous fungal host Thermothelomyces heterothallica C1 (C1, formerly Myceliophthora thermophila) offers a highly efficient and cost-effective alternative to reliably produce immunogens of vaccine quality at large scale. (3) We showed the utility of the C1 system expressing hemagglutinin (HA) and a HA fusion protein from different H1N1 influenza A virus strains. Mice vaccinated with the C1-derived HA proteins elicited anti-HA immune responses similar, or stronger than mice vaccinated with HA products derived from prototypical expression systems. A challenge study demonstrated that vaccinated mice were protected against the aggressive homologous viral challenge. (4) The C1 expression system is proposed as part of a set of protein expression systems for plug-and-play vaccine manufacturing platforms. Upon the emergence of pathogens of concern these platforms could serve as a quick solution for producing enough vaccines for immunizing the world population in a much shorter time and more affordably than is possible with current platforms.
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Affiliation(s)
- Gabor Keresztes
- Dyadic International Inc., 140 Intracoastal Pointe Drive, Suite 404, Jupiter, FL 33477, USA; (G.K.); (T.C.V.); (R.T.)
| | - Mark Baer
- EnGen Bio LLC, 61 Avondale Ave., Redwood City, CA 94062, USA; (M.B.); (M.R.A.)
| | - Mark R. Alfenito
- EnGen Bio LLC, 61 Avondale Ave., Redwood City, CA 94062, USA; (M.B.); (M.R.A.)
| | - Theo C. Verwoerd
- Dyadic International Inc., 140 Intracoastal Pointe Drive, Suite 404, Jupiter, FL 33477, USA; (G.K.); (T.C.V.); (R.T.)
| | - Andriy Kovalchuk
- VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, 02044 Espoo, Finland; (A.K.); (M.G.W.); (M.S.)
| | - Marilyn G. Wiebe
- VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, 02044 Espoo, Finland; (A.K.); (M.G.W.); (M.S.)
| | - Tor Kristian Andersen
- Institute of Clinical Medicine, University of Oslo, 0027 Oslo, Norway; (T.K.A.); (G.G.)
| | - Markku Saloheimo
- VTT Technical Research Centre of Finland Ltd., P.O. Box 1000, 02044 Espoo, Finland; (A.K.); (M.G.W.); (M.S.)
| | - Ronen Tchelet
- Dyadic International Inc., 140 Intracoastal Pointe Drive, Suite 404, Jupiter, FL 33477, USA; (G.K.); (T.C.V.); (R.T.)
| | - Richard Kensinger
- Sanofi Pasteur, 1541 Ave. Marcel Mérieux, 69280 Marcy l’Etoile, France;
| | - Gunnveig Grødeland
- Institute of Clinical Medicine, University of Oslo, 0027 Oslo, Norway; (T.K.A.); (G.G.)
- Department of Immunology and Transfusion Medicine, Oslo University Hospital, 0027 Oslo, Norway
| | - Mark Emalfarb
- Dyadic International Inc., 140 Intracoastal Pointe Drive, Suite 404, Jupiter, FL 33477, USA; (G.K.); (T.C.V.); (R.T.)
- Correspondence:
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23
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Zeller MA, Chang J, Vincent AL, Gauger PC, Anderson TK. Spatial and Temporal Coevolution of N2 Neuraminidase and H1 and H3 Hemagglutinin Genes of Influenza A Virus in United States Swine. Virus Evol 2021; 7:veab090. [PMID: 35223081 PMCID: PMC8864744 DOI: 10.1093/ve/veab090] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 09/14/2021] [Accepted: 10/07/2021] [Indexed: 11/12/2022] Open
Abstract
Abstract
The neuraminidase (NA) and hemagglutinin (HA) are essential surface glycoproteins of influenza A virus (IAV). In this study, the evolution of subtype N2 NA paired with H1 and H3 subtype HA in swine was evaluated to understand if genetic diversity of HA and NA were linked. Using time-scaled Bayesian phylodynamic analyses, the relationships of paired swine N2 with H1 or H3 from 2009 to 2018 were evaluated. These data demonstrated increased relative genetic diversity within the major N2 clades circulating in swine in the United States (N2.1998 between 2014-2017 and N2.2002 between 2010-2016). Preferential pairing was observed among specific NA and HA genetic clades. Gene reassortment between cocirculating influenza A strains resulted in novel pairings that persisted. The changes of genetic diversity in the NA gene were quantified using Bayesian phylodynamic analyses and increases in diversity were observed subsequent to novel NA-HA reassortment events. The rate of evolution among NA-N2 clades and HA-H1 and HA-H3 clades were similar. Bayesian phylodynamic analyses demonstrated strong spatial patterns in N2 genetic diversity, but frequent interstate movement of rare N2 clades provided opportunity for reassortment and emergence of new N2-HA pairings. The frequent regional movement of pigs and their influenza viruses is an explanation for the documented patterns of reassortment and subsequent changes in gene diversity. The reassortment and evolution of NA and linked HA evolution may result in antigenic drift of both major surface glycoproteins, reducing vaccine efficacy, with subsequent impact on animal health.
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Affiliation(s)
- Michael A Zeller
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
- Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA 50011, USA
| | - Jennifer Chang
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA 50010, USA
| | - Amy L Vincent
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA 50010, USA
| | - Phillip C Gauger
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Tavis K Anderson
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA 50010, USA
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Cho S, Kim WK, No JS, Lee SH, Jung J, Yi Y, Park HC, Lee GY, Park K, Kim JA, Kim J, Lee J, Lee D, Song DH, Gu SH, Jeong ST, Song JW. Urinary genome detection and tracking of Hantaan virus from hemorrhagic fever with renal syndrome patients using multiplex PCR-based next-generation sequencing. PLoS Negl Trop Dis 2021; 15:e0009707. [PMID: 34582439 PMCID: PMC8478167 DOI: 10.1371/journal.pntd.0009707] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 08/05/2021] [Indexed: 11/18/2022] Open
Abstract
Background Hantavirus infection occurs through the inhalation of aerosolized excreta, including urine, feces, and saliva of infected rodents. The presence of Hantaan virus (HTNV) RNA or infectious particles in urine specimens of patient with hemorrhagic fever with renal syndrome (HFRS) remains to be investigated. Methodology/Principal findings We collected four urine and serum specimens of Republic of Korea Army (ROKA) patients with HFRS. We performed multiplex PCR-based next-generation sequencing (NGS) to obtain the genome sequences of clinical HTNV in urine specimens containing ultra-low amounts of viral genomes. The epidemiological and phylogenetic analyses of HTNV demonstrated geographically homogenous clustering with those in Apodemus agrarius captured in highly endemic areas, indicating that phylogeographic tracing of HTNV genomes reveals the potential infection sites of patients with HFRS. Genetic exchange analyses showed a genetic configuration compatible with HTNV L segment exchange in nature. Conclusion/Significance Our results suggest that whole or partial genome sequences of HTNV from the urine enabled to track the putative infection sites of patients with HFRS by phylogeographically linking to the zoonotic HTNV from the reservoir host captured at endemic regions. This report raises awareness among physicians for the presence of HTNV in the urine of patients with HFRS. Hantavirus transmission to humans occurs via inhalation of aerosolized excreta, including urine, feces, and saliva of infected rodents. Currently, no report for the etiological evidence associated with urinary Hantaan virus (HTNV) from patients with hemorrhagic fever with renal syndrome (HFRS) is available. Here, we conducted multiplex PCR-based next-generation sequencing (NGS) using urine and serum specimens from four Republic of Korea Army (ROKA) patients with HFRS. The epidemiological and phylogenetic analyses using whole or partial genome sequences of HTNV from urine and serum demonstrated homogenous genetic clustering with HTNV from clinical specimens, circulating at highly endemic sites of patient infection. Among the sequences from ROKA patients, the genomic configuration of ROKA16-10 demonstrated occurrences of the genetic reassortment. Our results suggest that whole or partial genome sequences of HTNV from the urine enabled to track the putative infection sites of patients with HFRS by phylogeographically linking to the zoonotic HTNV from the reservoir host captured at endemic regions. This result provides new insights into presence of HTNV in the urine of patients with HFRS among physicians.
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Affiliation(s)
- Seungchan Cho
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
| | - Won-Keun Kim
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
- Institute of Medical Science, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Jin Sun No
- Division of High-risk Pathogens, Bureau of Infectious Diseases Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Seung-Ho Lee
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jaehun Jung
- Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Yongjin Yi
- Division of Nephrology, Department of Internal Medicine, Dankook University Hospital, Cheonan, Republic of Korea
| | - Hayne Cho Park
- Department of Internal Medicine, Kangnam Sacred Heart Hospital, Seoul, Republic of Korea
| | - Geum-Young Lee
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyungmin Park
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
- BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jeong-Ah Kim
- Division of High-risk Pathogens, Bureau of Infectious Diseases Diagnosis Control, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Jongwoo Kim
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
- BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jingyeong Lee
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
| | - Daesang Lee
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Dong Hyun Song
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Se Hun Gu
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Seong Tae Jeong
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Jin-Won Song
- Department of Microbiology, Korea University College of Medicine, Seoul, Republic of Korea
- BK21 Graduate Program, Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
- * E-mail:
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25
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Van Poelvoorde LAE, Bogaerts B, Fu Q, De Keersmaecker SCJ, Thomas I, Van Goethem N, Van Gucht S, Winand R, Saelens X, Roosens N, Vanneste K. Whole-genome-based phylogenomic analysis of the Belgian 2016-2017 influenza A(H3N2) outbreak season allows improved surveillance. Microb Genom 2021; 7. [PMID: 34477544 PMCID: PMC8715427 DOI: 10.1099/mgen.0.000643] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Seasonal influenza epidemics are associated with high mortality and morbidity in the human population. Influenza surveillance is critical for providing information to national influenza programmes and for making vaccine composition predictions. Vaccination prevents viral infections, but rapid influenza evolution results in emerging mutants that differ antigenically from vaccine strains. Current influenza surveillance relies on Sanger sequencing of the haemagglutinin (HA) gene. Its classification according to World Health Organization (WHO) and European Centre for Disease Prevention and Control (ECDC) guidelines is based on combining certain genotypic amino acid mutations and phylogenetic analysis. Next-generation sequencing technologies enable a shift to whole-genome sequencing (WGS) for influenza surveillance, but this requires laboratory workflow adaptations and advanced bioinformatics workflows. In this study, 253 influenza A(H3N2) positive clinical specimens from the 2016–2017 Belgian season underwent WGS using the Illumina MiSeq system. HA-based classification according to WHO/ECDC guidelines did not allow classification of all samples. A new approach, considering the whole genome, was investigated based on using powerful phylogenomic tools including beast and Nextstrain, which substantially improved phylogenetic classification. Moreover, Bayesian inference via beast facilitated reassortment detection by both manual inspection and computational methods, detecting intra-subtype reassortants at an estimated rate of 15 %. Real-time analysis (i.e. as an outbreak is ongoing) via Nextstrain allowed positioning of the Belgian isolates into the globally circulating context. Finally, integration of patient data with phylogenetic groups and reassortment status allowed detection of several associations that would have been missed when solely considering HA, such as hospitalized patients being more likely to be infected with A(H3N2) reassortants, and the possibility to link several phylogenetic groups to disease severity indicators could be relevant for epidemiological monitoring. Our study demonstrates that WGS offers multiple advantages for influenza monitoring in (inter)national influenza surveillance, and proposes an improved methodology. This allows leveraging all information contained in influenza genomes, and allows for more accurate genetic characterization and reassortment detection.
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Affiliation(s)
- Laura A E Van Poelvoorde
- Transversal Activities in Applied Genomics, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium.,National Influenza Centre, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium.,Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium.,VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
| | - Bert Bogaerts
- Transversal Activities in Applied Genomics, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium.,Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.,Department of Information Technology, IDLab, IMEC, Ghent University, Ghent, Belgium
| | - Qiang Fu
- Transversal Activities in Applied Genomics, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium
| | | | - Isabelle Thomas
- National Influenza Centre, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium
| | | | - Steven Van Gucht
- National Influenza Centre, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium
| | - Raf Winand
- Transversal Activities in Applied Genomics, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium
| | - Xavier Saelens
- Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium.,VIB-UGent Center for Medical Biotechnology, VIB, Ghent, Belgium
| | - Nancy Roosens
- Transversal Activities in Applied Genomics, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium
| | - Kevin Vanneste
- Transversal Activities in Applied Genomics, Sciensano, Juliette Wytsmanstraat 14, Brussels, Belgium
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26
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Rajendran M, Krammer F, McMahon M. The Human Antibody Response to the Influenza Virus Neuraminidase Following Infection or Vaccination. Vaccines (Basel) 2021; 9:vaccines9080846. [PMID: 34451971 PMCID: PMC8402431 DOI: 10.3390/vaccines9080846] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 12/03/2022] Open
Abstract
The influenza virus neuraminidase (NA) is primarily involved in the release of progeny viruses from infected cells—a critical role for virus replication. Compared to the immuno-dominant hemagglutinin, there are fewer NA subtypes, and NA experiences a slower rate of antigenic drift and reduced immune selection pressure. Furthermore, NA inhibiting antibodies prevent viral egress, thus preventing viral spread. Anti-NA immunity can lessen disease severity, reduce viral shedding, and decrease viral lung titers in humans and various animal models. As a result, there has been a concerted effort to investigate the possibilities of incorporating immunogenic forms of NA as a vaccine antigen in future vaccine formulations. In this review, we discuss NA-based immunity and describe several human NA-specific monoclonal antibodies (mAbs) that have a broad range of protection. We also review vaccine platforms that are investigating NA antigens in pre-clinical models and their potential use for next-generation influenza virus vaccines. The evidence presented here supports the inclusion of immunogenic NA in future influenza virus vaccines.
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Affiliation(s)
- Madhusudan Rajendran
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Correspondence: (F.K.); (M.M.)
| | - Meagan McMahon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
- Correspondence: (F.K.); (M.M.)
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27
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Postnikova Y, Treshchalina A, Boravleva E, Gambaryan A, Ishmukhametov A, Matrosovich M, Fouchier RAM, Sadykova G, Prilipov A, Lomakina N. Diversity and Reassortment Rate of Influenza A Viruses in Wild Ducks and Gulls. Viruses 2021; 13:v13061010. [PMID: 34072256 PMCID: PMC8230314 DOI: 10.3390/v13061010] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/22/2021] [Accepted: 05/24/2021] [Indexed: 01/18/2023] Open
Abstract
Influenza A viruses (IAVs) evolve via point mutations and reassortment of viral gene segments. The patterns of reassortment in different host species differ considerably. We investigated the genetic diversity of IAVs in wild ducks and compared it with the viral diversity in gulls. The complete genomes of 38 IAVs of H1N1, H1N2, H3N1, H3N2, H3N6, H3N8, H4N6, H5N3, H6N2, H11N6, and H11N9 subtypes isolated from wild mallard ducks and gulls resting in a city pond in Moscow, Russia were sequenced. The analysis of phylogenetic trees showed that stable viral genotypes do not persist from year to year in ducks owing to frequent gene reassortment. For comparison, similar analyses were carried out using sequences of IAVs isolated in the same period from ducks and gulls in The Netherlands. Our results revealed a significant difference in diversity and rates of reassortment of IAVs in ducks and gulls.
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Affiliation(s)
- Yulia Postnikova
- Chumakov Federal Scientific Center for the Research and Development of Immune-and-Biological Products, Village of Institute of Poliomyelitis, Settlement “Moskovskiy”, 108819 Moscow, Russia; (Y.P.); (A.T.); (E.B.); (A.I.)
| | - Anastasia Treshchalina
- Chumakov Federal Scientific Center for the Research and Development of Immune-and-Biological Products, Village of Institute of Poliomyelitis, Settlement “Moskovskiy”, 108819 Moscow, Russia; (Y.P.); (A.T.); (E.B.); (A.I.)
| | - Elizaveta Boravleva
- Chumakov Federal Scientific Center for the Research and Development of Immune-and-Biological Products, Village of Institute of Poliomyelitis, Settlement “Moskovskiy”, 108819 Moscow, Russia; (Y.P.); (A.T.); (E.B.); (A.I.)
| | - Alexandra Gambaryan
- Chumakov Federal Scientific Center for the Research and Development of Immune-and-Biological Products, Village of Institute of Poliomyelitis, Settlement “Moskovskiy”, 108819 Moscow, Russia; (Y.P.); (A.T.); (E.B.); (A.I.)
- Correspondence: ; Tel.: +7-985-136-3586
| | - Aydar Ishmukhametov
- Chumakov Federal Scientific Center for the Research and Development of Immune-and-Biological Products, Village of Institute of Poliomyelitis, Settlement “Moskovskiy”, 108819 Moscow, Russia; (Y.P.); (A.T.); (E.B.); (A.I.)
| | - Mikhail Matrosovich
- Institute of Virology, Philipps University, Hans-Meerwein-Str. 2, D-35043 Marburg, Germany;
| | - Ron A. M. Fouchier
- Department of Virology, Erasmus Medical Centre, Dr. Molewaterplein 50, 3015GE Rotterdam, The Netherlands;
| | - Galina Sadykova
- The Gamaleya National Center of Epidemiology and Microbiology of the Russian Ministry of Health, 123098 Moscow, Russia; (G.S.); (A.P.); (N.L.)
| | - Alexey Prilipov
- The Gamaleya National Center of Epidemiology and Microbiology of the Russian Ministry of Health, 123098 Moscow, Russia; (G.S.); (A.P.); (N.L.)
| | - Natalia Lomakina
- The Gamaleya National Center of Epidemiology and Microbiology of the Russian Ministry of Health, 123098 Moscow, Russia; (G.S.); (A.P.); (N.L.)
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28
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Alvarez-Munoz S, Upegui-Porras N, Gomez AP, Ramirez-Nieto G. Key Factors That Enable the Pandemic Potential of RNA Viruses and Inter-Species Transmission: A Systematic Review. Viruses 2021; 13:537. [PMID: 33804942 PMCID: PMC8063802 DOI: 10.3390/v13040537] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 03/17/2021] [Accepted: 03/20/2021] [Indexed: 12/27/2022] Open
Abstract
Viruses play a primary role as etiological agents of pandemics worldwide. Although there has been progress in identifying the molecular features of both viruses and hosts, the extent of the impact these and other factors have that contribute to interspecies transmission and their relationship with the emergence of diseases are poorly understood. The objective of this review was to analyze the factors related to the characteristics inherent to RNA viruses accountable for pandemics in the last 20 years which facilitate infection, promote interspecies jump, and assist in the generation of zoonotic infections with pandemic potential. The search resulted in 48 research articles that met the inclusion criteria. Changes adopted by RNA viruses are influenced by environmental and host-related factors, which define their ability to adapt. Population density, host distribution, migration patterns, and the loss of natural habitats, among others, have been associated as factors in the virus-host interaction. This review also included a critical analysis of the Latin American context, considering its diverse and unique social, cultural, and biodiversity characteristics. The scarcity of scientific information is striking, thus, a call to local institutions and governments to invest more resources and efforts to the study of these factors in the region is key.
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Affiliation(s)
| | | | | | - Gloria Ramirez-Nieto
- Microbiology and Epidemiology Research Group, Facultad de Medicina Veterinaria y de Zootecnia, Universidad Nacional de Colombia, Bogotá 111321, Colombia; (S.A.-M.); (N.U.-P.); (A.P.G.)
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29
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Creanga A, Gillespie RA, Fisher BE, Andrews SF, Lederhofer J, Yap C, Hatch L, Stephens T, Tsybovsky Y, Crank MC, Ledgerwood JE, McDermott AB, Mascola JR, Graham BS, Kanekiyo M. A comprehensive influenza reporter virus panel for high-throughput deep profiling of neutralizing antibodies. Nat Commun 2021; 12:1722. [PMID: 33741916 PMCID: PMC7979723 DOI: 10.1038/s41467-021-21954-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 02/22/2021] [Indexed: 01/31/2023] Open
Abstract
Broadly neutralizing antibodies (bnAbs) have been developed as potential countermeasures for seasonal and pandemic influenza. Deep characterization of these bnAbs and polyclonal sera provides pivotal understanding for influenza immunity and informs effective vaccine design. However, conventional virus neutralization assays require high-containment laboratories and are difficult to standardize and roboticize. Here, we build a panel of engineered influenza viruses carrying a reporter gene to replace an essential viral gene, and develop an assay using the panel for in-depth profiling of neutralizing antibodies. Replication of these viruses is restricted to cells expressing the missing viral gene, allowing it to be manipulated in a biosafety level 2 environment. We generate the neutralization profile of 24 bnAbs using a 55-virus panel encompassing the near-complete diversity of human H1N1 and H3N2, as well as pandemic subtype viruses. Our system offers in-depth profiling of influenza immunity, including the antibodies against the hemagglutinin stem, a major target of universal influenza vaccines.
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Affiliation(s)
- Adrian Creanga
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Rebecca A Gillespie
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Brian E Fisher
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Sarah F Andrews
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Julia Lederhofer
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Christina Yap
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Liam Hatch
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tyler Stephens
- Electron Microscopy Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, USA
| | - Yaroslav Tsybovsky
- Electron Microscopy Laboratory, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD, USA
| | - Michelle C Crank
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Julie E Ledgerwood
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Adrian B McDermott
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - John R Mascola
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Barney S Graham
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
| | - Masaru Kanekiyo
- Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
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30
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Next generation methodology for updating HA vaccines against emerging human seasonal influenza A(H3N2) viruses. Sci Rep 2021; 11:4554. [PMID: 33654128 PMCID: PMC7925519 DOI: 10.1038/s41598-020-79590-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 12/10/2020] [Indexed: 01/31/2023] Open
Abstract
While vaccines remain the best tool for preventing influenza virus infections, they have demonstrated low to moderate effectiveness in recent years. Seasonal influenza vaccines typically consist of wild-type influenza A and B viruses that are limited in their ability to elicit protective immune responses against co-circulating influenza virus variant strains. Improved influenza virus vaccines need to elicit protective immune responses against multiple influenza virus drift variants within each season. Broadly reactive vaccine candidates potentially provide a solution to this problem, but their efficacy may begin to wane as influenza viruses naturally mutate through processes that mediates drift. Thus, it is necessary to develop a method that commercial vaccine manufacturers can use to update broadly reactive vaccine antigens to better protect against future and currently circulating viral variants. Building upon the COBRA technology, nine next-generation H3N2 influenza hemagglutinin (HA) vaccines were designed using a next generation algorithm and design methodology. These next-generation broadly reactive COBRA H3 HA vaccines were superior to wild-type HA vaccines at eliciting antibodies with high HAI activity against a panel of historical and co-circulating H3N2 influenza viruses isolated over the last 15 years, as well as the ability to neutralize future emerging H3N2 isolates.
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31
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Ravina, Manjeet, Mohan H, Narang J, Pundir S, Pundir CS. A changing trend in diagnostic methods of Influenza A (H3N2) virus in human: a review. 3 Biotech 2021; 11:87. [PMID: 33495723 PMCID: PMC7816835 DOI: 10.1007/s13205-021-02642-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 01/03/2021] [Indexed: 12/11/2022] Open
Abstract
The influenza virus is classified into four types A, B, C, and D, but type A and B are responsible for major illnesses in people with influenza A being the only virus responsible for flu pandemics due to the presence of two surface proteins called hemagglutinin (H) and neuraminidase (N) on the virus. The two subtypes of influenza A virus, H1N1 and H3N2, have been known to cause many flu pandemics. Both subtypes change genetically and antigenically to produce variants (clades and subclades, also know as groups and subgroups). H3N2 tends to change rapidly, both genetically and antigenically whereas that of H1N1 generally tends to have smaller changes. Influenza A (H3N2) viruses have evolved to form many separate, genetically different clades that continue to co-circulate. Influenza A(H3N2) viruses have caused significant deaths as per WHO report. The review describes methods for detection of influenza A(H3N2) viruses by conventional serological methods as well as the advanced methods of molecular biology and biosensors. All these methods are based on different parameters and have different targets but the goal is to improve specificity and increase sensitivity. Amongst the molecular methods, real-time polymerase chain reaction (RT-PCR) is considered a gold standard test due to its many advantages whereas a number of other molecular methods are time-consuming, complex to perform or lack specificity. The review also considers bio-sensing methods for simple, rapid, highly sensitive, and specific detection of H3N2. The classification and principle of various H3N2 biosensors are also discussed.
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Affiliation(s)
- Ravina
- Centre for Medical Biotechnology, Maharshi Dayanand University, Rohtak, Haryana 124001 India
| | - Manjeet
- Centre for Medical Biotechnology, Maharshi Dayanand University, Rohtak, Haryana 124001 India
| | - Hari Mohan
- Centre for Medical Biotechnology, Maharshi Dayanand University, Rohtak, Haryana 124001 India
| | - Jagriti Narang
- Department of Biotechnology, Jamia Hamdard, New Delhi, India
| | - Shikha Pundir
- Liggins Institute, The University of Auckland, Auckland, New Zealand
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32
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Ding X, Yuan X, Mao L, Wu A, Jiang T. FluReassort: a database for the study of genomic reassortments among influenza viruses. Brief Bioinform 2020; 21:2126-2132. [PMID: 31774482 DOI: 10.1093/bib/bbz128] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Revised: 08/25/2019] [Accepted: 09/08/2019] [Indexed: 01/07/2023] Open
Abstract
Genomic reassortment is an important genetic event in the generation of emerging influenza viruses, which can cause numerous serious flu endemics and epidemics within hosts or even across different hosts. However, there is no dedicated and comprehensive repository for reassortment events among influenza viruses. Here, we present FluReassort, a database for understanding the genomic reassortment events in influenza viruses. Through manual curation of thousands of literature references, the database compiles 204 reassortment events among 56 subtypes of influenza A viruses isolated in 37 different countries. FluReassort provides an interface for the visualization and evolutionary analysis of reassortment events, allowing users to view the events through the phylogenetic analysis with varying parameters. The reassortment networks in FluReassort graphically summarize the correlation and causality between different subtypes of the influenza virus and facilitate the description and interpretation of the reassortment preference among subtypes. We believe FluReassort is a convenient and powerful platform for understanding the evolution of emerging influenza viruses. FluReassort is freely available at https://www.jianglab.tech/FluReassort.
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Affiliation(s)
- Xiao Ding
- Suzhou Institute of Systems Medicine, Center of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College
| | - Xuye Yuan
- Xi'an Jiaotong-Liverpool University, Department of Biological Sciences
| | - Longfei Mao
- Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou Institute of Systems Medicine
| | - Aiping Wu
- Chinese Academy of Medical Sciences and Peking Union Medical College, Suzhou Institute of Systems Medicine
| | - Taijiao Jiang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Center for Systems Medicine, Institute of Basic Medical Sciences
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Naeem A, Elbakkouri K, Alfaiz A, Hamed ME, Alsaran H, AlOtaiby S, Enani M, Alosaimi B. Antigenic drift of hemagglutinin and neuraminidase in seasonal H1N1 influenza viruses from Saudi Arabia in 2014 to 2015. J Med Virol 2020; 92:3016-3027. [PMID: 32159230 PMCID: PMC7228267 DOI: 10.1002/jmv.25759] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Accepted: 03/04/2020] [Indexed: 01/19/2023]
Abstract
Antigenic drift of the hemagglutinin (HA) and neuraminidase (NA) proteins of the influenza virus cause a decrease in vaccine efficacy. Since the information about the evolution of these viruses in Saudi is deficient so we investigated the genetic diversity of circulating H1N1 viruses. Nasopharyngeal aspirates/swabs collected from 149 patients hospitalized with flu-like symptoms during 2014 and 2015 were analyzed. Viral RNA extraction was followed by a reverse transcription-polymerase chain reaction and genetic sequencing. We analyzed complete gene sequences of HA and NA from 80 positive isolates. Phylogenetic analysis of HA and NA genes of 80 isolates showed similar topologies and co-circulation of clades 6b. Genetic diversity was observed among circulating viruses belonging to clade 6B.1A. The amino acid residues in the HA epitope domain were under purifying selection. Amino acid changes at key antigenic sites, such as position S101N, S179N (antigenic site-Sa), I233T (antigenic site-Sb) in the head domain might have resulted in antigenic drift and emergence of variant viruses. For NA protein, 36% isolates showed the presence of amino acid changes such as V13I (n = 29), I314M (n = 29) and 12% had I34V (n = 10). However, H257Y mutation responsible for resistance to neuraminidase inhibitors was missing. The presence of amino acid changes at key antigenic sites and their topologies with structural mapping of residues under purifying selection highlights the importance of antigenic drift and warrants further characterization of recently circulating viruses in view of vaccine effectiveness. The co-circulation of several clades and the predominance of clade 6B.1 suggest multiple introductions in Saudi.
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MESH Headings
- Humans
- Neuraminidase/genetics
- Saudi Arabia/epidemiology
- Influenza, Human/virology
- Influenza, Human/epidemiology
- Phylogeny
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/immunology
- Influenza A Virus, H1N1 Subtype/enzymology
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Adult
- Male
- Female
- Young Adult
- Genetic Variation
- Middle Aged
- Adolescent
- Genetic Drift
- Child
- Child, Preschool
- Amino Acid Substitution
- Viral Proteins/genetics
- Nasopharynx/virology
- Antigens, Viral/genetics
- Antigens, Viral/immunology
- RNA, Viral/genetics
- Antigenic Variation
- Aged
- Sequence Analysis, DNA
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Affiliation(s)
- Asif Naeem
- Research CenterKing Fahad Medical CityRiyadhSaudi Arabia
| | | | - Ali Alfaiz
- Research CenterKing Fahad Medical CityRiyadhSaudi Arabia
| | | | - Hadel Alsaran
- Research CenterKing Fahad Medical CityRiyadhSaudi Arabia
| | | | - Mushira Enani
- Medical Specialties Department, Section of Infectious DiseasesKing Fahad Medical CityRiyadhSaudi Arabia
| | - Bandar Alosaimi
- Research CenterKing Fahad Medical CityRiyadhSaudi Arabia
- College of MedicineKing Fahad Medical CityRiyadhSaudi Arabia
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Eiden S, Dijkman R, Zell R, Fuchs J, Kochs G. Using a mouse-adapted A/HK/01/68 influenza virus to analyse the impact of NS1 evolution in codons 196 and 231 on viral replication and virulence. J Gen Virol 2020; 101:587-598. [PMID: 32416749 DOI: 10.1099/jgv.0.001422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Seasonal influenza viruses circulating between 1918 and 2009 harboured two prevalent genetic variations in the NS1 coding region. A glutamic acid (E)-to-lysine (K) exchange at position 196 was reported to diminish the capacity of NS1 to control interferon induction. Furthermore, alterations at position 231 determine a carboxy-terminal extension of seven amino acids from 230 to 237 residues. Sequence analyses of NS1 of the last 90 years suggest that variations at these two positions are functionally linked. To determine the impact of the two positions on viral replication in vivo, we used a mouse-adapted variant of A/Hong Kong/01/68 (maHK68) (H3N2). maHK68 encodes an NS1 of 237 amino acids with lysine at position 196. A panel of recombinant maHK68 viruses was generated encoding NS1 variants that differed at positions 196 and 231. Our analyses showed a clear effect of the K-196-to-E exchange on interferon induction and virus virulence. These effects were further modulated by the loss of the seven-amino-acid extension. We propose that the combination of NS1 E-196 with the short C-terminal variant conferred a fitness advantage that is reflected by increased virulence in vivo. Notably, this particular NS1 constellation was observed for the pandemic 1918 H1N1 virus.
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Affiliation(s)
- Sebastian Eiden
- Institute of Virology, Medical Center - University of Freiburg, Hermann-Herder-Strasse 11, 79104 Freiburg, Germany
| | - Ronald Dijkman
- Institute for Infectious Diseases, University of Bern, Friedbühlstrasse 51, 3001 Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Länggassstrasse 122, 3012 Bern, Switzerland
- Institute of Virology and Immunology, Länggassstrasse 122, 3012 Bern, Switzerland
| | - Roland Zell
- Section of Experimental Virology, Institute of Medical Microbiology, Jena University Hospital, Friedrich-Schiller-University, Jena, Hans-Knöll-Strasse 2, 07745 Jena, Germany
| | - Jonas Fuchs
- Institute of Virology, Medical Center - University of Freiburg, Hermann-Herder-Strasse 11, 79104 Freiburg, Germany
| | - Georg Kochs
- Institute of Virology, Medical Center - University of Freiburg, Hermann-Herder-Strasse 11, 79104 Freiburg, Germany
- Faculty of Medicine, University of Freiburg, 79008 Freiburg, Germany
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35
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Tang S, Zhu W, Wang BZ. Influenza Vaccines toward Universality through Nanoplatforms and Given by Microneedle Patches. Viruses 2020; 12:E1212. [PMID: 33114336 PMCID: PMC7690886 DOI: 10.3390/v12111212] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/20/2020] [Accepted: 10/22/2020] [Indexed: 12/25/2022] Open
Abstract
Influenza is one of the top threats to public health. The best strategy to prevent influenza is vaccination. Because of the antigenic changes in the major surface antigens of influenza viruses, current seasonal influenza vaccines need to be updated every year to match the circulating strains and are suboptimal for protection. Furthermore, seasonal vaccines do not protect against potential influenza pandemics. A universal influenza vaccine will eliminate the threat of both influenza epidemics and pandemics. Due to the massive challenge in realizing influenza vaccine universality, a single vaccine strategy cannot meet the need. A comprehensive approach that integrates advances in immunogen designs, vaccine and adjuvant nanoplatforms, and vaccine delivery and controlled release has the potential to achieve an effective universal influenza vaccine. This review will summarize the advances in the research and development of an affordable universal influenza vaccine.
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Affiliation(s)
| | | | - Bao-Zhong Wang
- Center for Inflammation, Immunity & Infection, Georgia State University, Atlanta, GA 30303, USA; (S.T.); (W.Z.)
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36
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Baratelli M, Morgan S, Hemmink JD, Reid E, Carr BV, Lefevre E, Montaner-Tarbes S, Charleston B, Fraile L, Tchilian E, Montoya M. Identification of a Newly Conserved SLA-II Epitope in a Structural Protein of Swine Influenza Virus. Front Immunol 2020; 11:2083. [PMID: 33042120 PMCID: PMC7524874 DOI: 10.3389/fimmu.2020.02083] [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: 04/18/2020] [Accepted: 07/30/2020] [Indexed: 11/30/2022] Open
Abstract
Despite the role of pigs as a source of new Influenza A Virus viruses (IAV) potentially capable of initiating human pandemics, immune responses to swine influenza virus (SwIV) in pigs are not fully understood. Several SwIV epitopes presented by swine MHC (SLA) class I have been identified using different approaches either in outbred pigs or in Babraham large white inbred pigs, which are 85% identical by genome wide SNP analysis. On the other hand, some class II SLA epitopes were recently described in outbred pigs. In this work, Babraham large white inbred pigs were selected to identify SLA II epitopes from SwIV H1N1. PBMCs were screened for recognition of overlapping peptides covering the NP and M1 proteins from heterologous IAV H1N1 in IFNγ ELISPOT. A novel SLA class II restricted epitope was identified in NP from swine H1N1. This conserved novel epitope could be the base for further vaccine approaches against H1N1 in pigs.
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Affiliation(s)
- Massimiliano Baratelli
- Centre de Recerca en Sanitat Animal (CReSA), UAB-IRTA, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | | | | | | | | | | | - Sergio Montaner-Tarbes
- Innovex Therapeutics S.L., Badalona, Spain.,Animal Health Department, Universidad de Lleida, Lleida, Spain
| | | | - Lorenzo Fraile
- Animal Health Department, Universidad de Lleida, Lleida, Spain
| | | | - Maria Montoya
- Centre de Recerca en Sanitat Animal (CReSA), UAB-IRTA, Universitat Autònoma de Barcelona, Bellaterra, Spain.,The Pirbright Institute, Surrey, United Kingdom.,Centro de Investigaciones Biológicas Margarita Salas (CIB-CSIC), Madrid, Spain
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37
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Lee GY, Kim WK, Park K, Lee SH, Hwang J, No JS, Cho S, Lee D, Song DH, Gu SH, Park MS, Jeong ST, Kim YS, Song JW. Phylogeographic diversity and hybrid zone of Hantaan orthohantavirus collected in Gangwon Province, Republic of Korea. PLoS Negl Trop Dis 2020; 14:e0008714. [PMID: 33035222 PMCID: PMC7588125 DOI: 10.1371/journal.pntd.0008714] [Citation(s) in RCA: 8] [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: 02/20/2020] [Revised: 10/26/2020] [Accepted: 08/14/2020] [Indexed: 01/03/2023] Open
Abstract
Background Hantaan orthohantavirus (Hantaan virus, HTNV), harbored by Apodemus agrarius (the striped field mouse), causes hemorrhagic fever with renal syndrome (HFRS) in humans. Viral genome-based surveillance at new expansion sites to identify HFRS risks plays a critical role in tracking the infection source of orthohantavirus outbreak. In the Republic of Korea (ROK), most studies demonstrated the serological prevalence and genetic diversity of orthohantaviruses collected from HFRS patients or rodents in Gyeonggi Province. Gangwon Province is a HFRS-endemic area with a high incidence of patients and prevalence of infected rodents, ROK. However, the continued epidemiology and surveillance of orthohantavirus remain to be investigated. Methodology/Principal findings Whole-genome sequencing of HTNV was accomplished in small mammals collected in Gangwon Province during 2015–2018 by multiplex PCR-based next-generation sequencing. To elucidate the geographic distribution and molecular diversity of viruses, we conducted phylogenetic analyses of HTNV tripartite genomes. We inferred the hybrid zone using cline analysis to estimate the geographic contact between two different HTNV lineages in the ROK. The graph incompatibility based reassortment finder performed reassortment analysis. A total of 12 HTNV genome sequences were completely obtained from A. agrarius newly collected in Gangwon Province. The phylogenetic and cline analyses demonstrated the genetic diversity and hybrid zone of HTNV in the ROK. Genetic exchange analysis suggested the possibility of reassortments in Cheorwon-gun, a highly HFRS-endemic area. Conclusions/Significance The prevalence and distribution of HTNV in HFRS-endemic areas of Gangwon Province enhanced the phylogeographic map for orthohantavirus outbreak monitoring in ROK. This study revealed the hybrid zone reflecting the genetic diversity and evolutionary dynamics of HTNV circulating in Gangwon Province. The results arise awareness of rodent-borne orthohantavirus diseases for physicians in the endemic area of ROK. The genetic and molecular epidemiological studies on small mammals derived from hemorrhagic fever with renal syndrome (HFRS)-endemic areas have consistently conducted for the public health surveillance and mitigation of orthohantavirus outbreak in the Republic of Korea (ROK). Implementing viral genome-based surveillance at new expansion sites that may identify HFRS risks is critical for tracking the location of orthohantavirus infections and diagnosing HFRS. In the present study, whole-genome sequences of Hantaan virus (HTNV) from small mammals in Gangwon Province were recovered using multiplex PCR-based next-generation sequencing during 2015–2018. In HFRS-endemic regions including Cheorwon-gun, Chuncheon-si, and Hwacheon-gun, additional HTNV genome sequences contribute to establish a high-resolution phylogeographic map for tracking emerging orthohantavirus-induced diseases. The cline analysis revealed a remarkable hybrid zone by showing spatial contact regions of HTNV at two sites (Cheorwon-gun and Hwacheon-gun) and the spatial separation and sequence divergence across genome segments of HTNV in Gangwon Province. These results demonstrate the genetic diversity and hybrid zone of HTNV circulating in Gangwon Province. These findings increase an awareness raising about HFRS in the endemic area of ROK.
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Affiliation(s)
- Geum-Young Lee
- Department of Microbiology, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Won-Keun Kim
- Department of Microbiology, College of Medicine, Hallym University, Chuncheon, Republic of Korea
- Institute of Medical Science, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Kyungmin Park
- Department of Microbiology, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Seung-Ho Lee
- Department of Microbiology, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Jusun Hwang
- Wildlife Ecology & Genomics Laboratory, College of Forest & Environmental Science, Kangwon National University, Chuncheon, Republic of Korea
| | - Jin Sun No
- Department of Microbiology, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Seungchan Cho
- Department of Microbiology, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Daesang Lee
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Dong-Hyun Song
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Se Hun Gu
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Man-Seong Park
- Department of Microbiology, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Seong Tae Jeong
- 4th R&D Institute, Agency for Defense Development, Daejeon, Republic of Korea
| | - Young-Su Kim
- Infectious Disease Research Department, Gangwon Institute of Health and Environment, Chuncheon, Republic of Korea
| | - Jin-Won Song
- Department of Microbiology, College of Medicine, Korea University, Seoul, Republic of Korea
- * E-mail:
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38
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Hwang HS, Chang M, Kim YA. Influenza-Host Interplay and Strategies for Universal Vaccine Development. Vaccines (Basel) 2020; 8:vaccines8030548. [PMID: 32962304 PMCID: PMC7564814 DOI: 10.3390/vaccines8030548] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/11/2020] [Accepted: 09/18/2020] [Indexed: 12/24/2022] Open
Abstract
Influenza is an annual epidemic and an occasional pandemic caused by pathogens that are responsible for infectious respiratory disease. Humans are highly susceptible to the infection mediated by influenza A viruses (IAV). The entry of the virus is mediated by the influenza virus hemagglutinin (HA) glycoprotein that binds to the cellular sialic acid receptors and facilitates the fusion of the viral membrane with the endosomal membrane. During IAV infection, virus-derived pathogen-associated molecular patterns (PAMPs) are recognized by host intracellular specific sensors including toll-like receptors (TLRs), C-type lectin receptors, retinoic acid-inducible gene-I (RIG-I)-like receptors (RLRs), and nucleotide-binding oligomerization domain (NOD)-like receptors (NLRs) either on the cell surface or intracellularly in endosomes. Herein, we comprehensively review the current knowledge available on the entry of the influenza virus into host cells and the molecular details of the influenza virus–host interface. We also highlight certain strategies for the development of universal influenza vaccines.
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Affiliation(s)
- Hye Suk Hwang
- Alan G. MacDiarmid Energy Research Institute, Chonnam National University, Gwangju 61186, Korea;
| | - Mincheol Chang
- Alan G. MacDiarmid Energy Research Institute, Chonnam National University, Gwangju 61186, Korea;
- Department of Polymer Engineering, Graduate School, Chonnam National University, Gwangju 61186, Korea
- School of Polymer Science and Engineering, Chonnam National University, Gwangju 61186, Korea
- Correspondence: (M.C.); (Y.A.K.); Tel.: +82-62-530-1771 (M.C.); +82-62-530-1871 (Y.A.K.)
| | - Yoong Ahm Kim
- Alan G. MacDiarmid Energy Research Institute, Chonnam National University, Gwangju 61186, Korea;
- Department of Polymer Engineering, Graduate School, Chonnam National University, Gwangju 61186, Korea
- School of Polymer Science and Engineering, Chonnam National University, Gwangju 61186, Korea
- Correspondence: (M.C.); (Y.A.K.); Tel.: +82-62-530-1771 (M.C.); +82-62-530-1871 (Y.A.K.)
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Chepkwony S, Parys A, Vandoorn E, Chiers K, Van Reeth K. Efficacy of Heterologous Prime-Boost Vaccination with H3N2 Influenza Viruses in Pre-Immune Individuals: Studies in the Pig Model. Viruses 2020; 12:v12090968. [PMID: 32882956 PMCID: PMC7552030 DOI: 10.3390/v12090968] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 08/26/2020] [Accepted: 08/30/2020] [Indexed: 12/25/2022] Open
Abstract
In a previous study in influenza-naïve pigs, heterologous prime-boost vaccination with monovalent, adjuvanted whole inactivated vaccines (WIV) based on the European swine influenza A virus (SwIAV) strain, A/swine/Gent/172/2008 (G08), followed by the US SwIAV strain, A/swine/Pennsylvania/A01076777/2010 (PA10), was shown to induce broadly cross-reactive hemagglutination inhibition (HI) antibodies against 12 out of 15 antigenically distinct H3N2 influenza strains. Here, we used the pig model to examine the efficacy of that particular heterologous prime-boost vaccination regimen, in individuals with pre-existing infection-immunity. Pigs were first inoculated intranasally with the human H3N2 strain, A/Nanchang/933/1995. Seven weeks later, they were vaccinated intramuscularly with G08 followed by PA10 or vice versa. We examined serum antibody responses against the hemagglutinin and neuraminidase, and antibody-secreting cell (ASC) responses in peripheral blood, draining lymph nodes, and nasal mucosa (NMC), in ELISPOT assays. Vaccination induced up to 10-fold higher HI antibody titers than in naïve pigs, with broader cross-reactivity, and protection against challenge with an antigenically distant H3N2 strain. It also boosted ASC responses in lymph nodes and NMC. Our results show that intramuscular administration of WIV can lead to enhanced antibody responses and cross-reactivity in pre-immune subjects, and recall of ASC responses in lymph nodes and NMC.
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Affiliation(s)
- Sharon Chepkwony
- Laboratory of Virology, Faculty of Veterinary Medicine, Department of Virology, Parasitology and Immunology, Ghent University, 9820 Merelbeke, Belgium; (S.C.); (A.P.); (E.V.)
| | - Anna Parys
- Laboratory of Virology, Faculty of Veterinary Medicine, Department of Virology, Parasitology and Immunology, Ghent University, 9820 Merelbeke, Belgium; (S.C.); (A.P.); (E.V.)
| | - Elien Vandoorn
- Laboratory of Virology, Faculty of Veterinary Medicine, Department of Virology, Parasitology and Immunology, Ghent University, 9820 Merelbeke, Belgium; (S.C.); (A.P.); (E.V.)
| | - Koen Chiers
- Laboratory of Veterinary Pathology, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium;
| | - Kristien Van Reeth
- Laboratory of Virology, Faculty of Veterinary Medicine, Department of Virology, Parasitology and Immunology, Ghent University, 9820 Merelbeke, Belgium; (S.C.); (A.P.); (E.V.)
- Correspondence: ; Tel.: +32-92647369
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Bayesian inference of reassortment networks reveals fitness benefits of reassortment in human influenza viruses. Proc Natl Acad Sci U S A 2020; 117:17104-17111. [PMID: 32631984 PMCID: PMC7382287 DOI: 10.1073/pnas.1918304117] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Genetic recombination processes, such as reassortment, make it complex or impossible to use standard phylogenetic and phylodynamic methods. This is due to the fact that the shared evolutionary history of individuals has to be represented by a phylogenetic network instead of a tree. We therefore require novel approaches that allow us to coherently model these processes and that allow us to perform inference in the presence of such processes. Here, we introduce an approach to infer reassortment networks of segmented viruses using a Markov chain Monte Carlo approach. Our approach allows us to study different aspects of the reassortment process and allows us to show fitness benefits of reassortment events in seasonal human influenza viruses. Reassortment is an important source of genetic diversity in segmented viruses and is the main source of novel pathogenic influenza viruses. Despite this, studying the reassortment process has been constrained by the lack of a coherent, model-based inference framework. Here, we introduce a coalescent-based model that allows us to explicitly model the joint coalescent and reassortment process. In order to perform inference under this model, we present an efficient Markov chain Monte Carlo algorithm to sample rooted networks and the embedding of phylogenetic trees within networks. This algorithm provides the means to jointly infer coalescent and reassortment rates with the reassortment network and the embedding of segments in that network from full-genome sequence data. Studying reassortment patterns of different human influenza datasets, we find large differences in reassortment rates across different human influenza viruses. Additionally, we find that reassortment events predominantly occur on selectively fitter parts of reassortment networks showing that on a population level, reassortment positively contributes to the fitness of human influenza viruses.
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Wille M, Holmes EC. The Ecology and Evolution of Influenza Viruses. Cold Spring Harb Perspect Med 2020; 10:cshperspect.a038489. [PMID: 31871237 DOI: 10.1101/cshperspect.a038489] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The patterns and processes of influenza virus evolution are of fundamental importance, underpinning such traits as the propensity to emerge in new host species and the ability to rapidly generate antigenic variation. Herein, we review key aspects of the ecology and evolution of influenza viruses. We begin with an exploration of the origins of influenza viruses within the orthomyxoviruses, showing how our perception of the evolutionary history of these viruses has been transformed with metagenomic sequencing. We then outline the diversity of virus subtypes in different species and the processes by which these viruses have emerged in new hosts, with a particular focus on the role played by segment reassortment. We then turn our attention to documenting the spread and phylodynamics of seasonal influenza A and B viruses in human populations, including the drivers of antigenic evolution, and finish with a discussion of virus diversity and evolution at the scale of individual hosts.
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Affiliation(s)
- Michelle Wille
- WHO Collaborating Centre for Reference and Research on Influenza, at The Peter Doherty Institute for Infection and Immunity, Melbourne 3000, Australia
| | - Edward C Holmes
- Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, The University of Sydney, Sydney 2006, Australia
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Zeng Z, Yau LF, Lin Z, Xia X, Yang Z, Wang JR, Song W, Wang X. Characterization and Evolutionary Analysis of a Novel H3N2 Influenza A Virus Glycosylation Motif in Southern China. Front Microbiol 2020; 11:1318. [PMID: 32612596 PMCID: PMC7309185 DOI: 10.3389/fmicb.2020.01318] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 05/25/2020] [Indexed: 11/21/2022] Open
Abstract
An influenza A (H3N2) virus epidemic occurred in China in 2017 and the causative strain failed to bind red blood cells (RBCs), which may affect receptor binding and antibody recognition. The objective of this study was to analyze the genetic characteristics and glycosylation changes of this novel H3N2 strain. We directly sequenced the hemagglutinin (HA) genes of H3N2 clinical specimens collected from patients with acute respiratory tract infection during 2017 in Guangdong, China. We aligned these sequences with those of A/Hong Kong/1/1968 (H3N2) and A/Brisbane/10/2007 (H3N2). Glycosylation changes were analyzed by C18 Chip-Q-TOF-MS. A/China/LZP/2017 (H3N2) was negative by HA assay, but was positive by quantitative real-time Polymerase Chain Reaction (qPCR) and direct immunofluorescence assay (DFA). We found that the HA1 residue 160T of A/China/LZP/2017 (H3N2) could block virus binding to receptors on RBCs. Furthermore, the ASN (N)-X-Thr (T) motif at HA1 residues 158-160, encoding a glycosylation site as shown by C18 Chip-Q-TOF-MS, predominated worldwide and played a critical role in RBC receptor binding. Ten glycoforms at HA1 residue 158 were identified [4_3_1_0, 5_6_0_1, 3_3_0_1, 4_4_3_0, 6_7_0_0 (SO3), 3_6_2_0, 4_3_1_2 (SO3), 7_5_2_0 (SO3), 3_6_2_1 (SO3), and 3_7_0_2]. Glycosylation changes at HA1 residues 158-160 of a circulating influenza A (H3N2) virus in Guangdong, China, in 2017 blocked binding to RBC receptors. Changes to these HA1 residues may have reduced protective antibody responses as well. Understanding these critical epitopes is important for selecting vaccine strains.
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Affiliation(s)
- Zhiqi Zeng
- 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
| | - Lee-Fong Yau
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau, China
| | - Zengxian Lin
- 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
| | - Xuanzi Xia
- 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
| | - 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
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau, China
| | - Jing-Rong Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau, China
| | - Wenjun Song
- 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
- Institute of Integration of Traditional and Western Medicine, Guangzhou Medical University, Guangzhou, China
| | - Xinhua 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
- Institute of Integration of Traditional and Western Medicine, Guangzhou Medical University, Guangzhou, China
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Ma Y, Liu K, Yin Y, Qin J, Zhou YH, Yang J, Li S, Poon LLM, Zhang C. The Phylodynamics of Seasonal Influenza A/H1N1pdm Virus in China Between 2009 and 2019. Front Microbiol 2020; 11:735. [PMID: 32457705 PMCID: PMC7228120 DOI: 10.3389/fmicb.2020.00735] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 03/30/2020] [Indexed: 01/26/2023] Open
Abstract
Since its first introduction into China in 2009, influenza A/H1N1pdm virus has undergone a rapid expansion and replaced the classical seasonal A(H1N1) virus. To characterize the ongoing evolution and national transmission dynamics of this virus, we analyzed 335 complete genome, 1259 HA, and 1043 NA sequences of the A/H1N1pdm strains detected in China. We found that the dN/dS value and relative genetic diversity of the A/H1N1pdm virus experienced a decrease from 2009 to 2017, and then a rapid increase during 2018–2019. Importantly, elevated relative genetic diversity was observed in the A/H1N1pdm and the A/H3N2 viruses, as well as two lineages (Victoria and Yamagata) of influenza B virus during 2018–2019, suggesting the simultaneous changes of these viruses in terms of genetic diversity might be associated with the recent large outbreak of seasonal influenza epidemic in China during 2018–2019. Fifteen amino acid mutations were found to be fixed along the main trunks of both HA and NA phylogenetic trees, and some of them are located in the antigen binding site or the receptor binding site. A sequential accumulation of mutations relative to the 2009-vaccine strain was observed in the circulating A/H1N1pdm strains during 2009–2016, while a rapid accumulation of mutations relative to the 2015-vaccine strain appeared in the emerging variants in 2017 shortly after the release of the vaccine. Multiple introductions of the A/H1N1pdm lineages into China were observed during 2009–2019, and East China and South China were found to serve as two major epicenters responsible for the national migration of the virus. In summary, these data provide important insights into the understanding of the evolution, epidemiology and transmission of the A/H1N1pdm virus, and highlight the importance of strengthening influenza surveillance in East China and South China.
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Affiliation(s)
- Yingying Ma
- Chinese Academy of Sciences (CAS) Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences: University of Chinese Academy of Sciences, Shanghai, China
| | - Kai Liu
- Chinese Academy of Sciences (CAS) Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences: University of Chinese Academy of Sciences, Shanghai, China
| | - Yong Yin
- Department of Pulmonary, Shanghai Children's Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianru Qin
- Chinese Academy of Sciences (CAS) Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences: University of Chinese Academy of Sciences, Shanghai, China.,College of Life Sciences, Henan Normal University, Xinxiang, China
| | - Yan-Heng Zhou
- Chinese Academy of Sciences (CAS) Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences: University of Chinese Academy of Sciences, Shanghai, China
| | - Juan Yang
- Key Laboratory of Public Health Safety, Ministry of Education, Fudan University School of Public Health, Shanghai, China
| | - Shenwei Li
- Shanghai International Travel Healthcare Center, Shanghai, China
| | - Leo L M Poon
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Chiyu Zhang
- Chinese Academy of Sciences (CAS) Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences: University of Chinese Academy of Sciences, Shanghai, China
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Nyang'au EM, Bulimo WD, Mobegi V, Opanda S, Magiri E. Genetic analysis of HA1 domain of influenza A/H3N2 viruses isolated in Kenya during the 2007-2013 seasons reveal significant divergence from WHO-recommended vaccine strains. Int J Infect Dis 2020; 95:413-420. [PMID: 32276045 DOI: 10.1016/j.ijid.2020.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 03/28/2020] [Accepted: 04/01/2020] [Indexed: 10/24/2022] Open
Abstract
BACKGROUND Influenza viruses evolve rapidly and cause regular seasonal epidemics in humans challenging effective vaccination. The virus surface HA glycoprotein is the primary target for the host immune response. Here, we investigated the vaccine efficacy and evolution patterns of human influenza A/H3N2 viruses that circulated in Kenyan in the period before and after the 2009 A/H1N1 pandemic, targeting the HA1 domain. MATERIALS AND METHODS A hundred and fifteen HA sequences of Kenyan virus viruses were analyzed relative to the corresponding WHO vaccine reference strains using bioinformatics approaches. RESULTS Our analyses revealed varied amino acid substitutions at all the five antigenic sites (A-E) of the HA1 domain, with a majority the changes occurring at sites A and B. The Kenyan A/H3N2 viruses isolated during 2007/2008 seasons belonged to A/Brisbane/10/2007-like viruses lineage, while those circulating in 2009-2012 belonged to the lineage of A/Victoria/361/2011-like viruses. The 2013 viruses clustered in clade 3C.3 of the A/Samara/73/2013-like viruses. The mean evolutionary rate of the A/H3N2 viruses analyzed in the study was at 4.17×10-3 (95% HPD=3.09×10-3-5.31×10-3) nucleotide substitutions per site per year, whereas the TMRCA was estimated at 11.18 (95% HPD=9.00-14.12) years ago from 2013. The prediction of vaccine efficacy revealed modest vaccine efficaciousness during 2008, and 2010 influenza seasons, whilst sub-optimal effectiveness was registered in 2007, 2009, 2012 and 2013. Further, the overall selective pressure acting on the HA1 domain was estimated at 0.56 (ω<1), suggesting that a majority of codon sites in the HA1 epitopes were evolving under purifying selection. CONCLUSIONS Generally, our results highlight the genetic plasticity of A/H3N2 viruses and reveal considerable disparity in vaccine efficaciousness against the A/H3N2 viruses that circulated in Kenya, specifically during 2007, 2009, 2012, and 2013 influenza seasons. Our findings underscore the importance and need for consistent surveillance and molecular characterization of influenza viruses, to inform decision making and enhance early of detection of strains with epidemic/pandemic potential as well as benefit in guiding decisions regarding the appropriate annual influenza vaccine formulations.
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Affiliation(s)
- Edward M Nyang'au
- College of Health Sciences (COHES), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya
| | - Wallace D Bulimo
- Department of Emerging Infectious Diseases, US Army Medical Research Directorate - Africa, Nairobi, Kenya; Department of Biochemistry, School of Medicine, University of Nairobi, Nairobi, Kenya.
| | - Victor Mobegi
- Department of Biochemistry, School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Silvanos Opanda
- Department of Emerging Infectious Diseases, US Army Medical Research Directorate - Africa, Nairobi, Kenya
| | - Esther Magiri
- College of Health Sciences (COHES), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya
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Owuor DC, Ngoi JM, Otieno JR, Otieno GP, Nyasimi FM, Nyiro JU, Agoti CN, Chaves SS, Nokes DJ. Genetic characterization of influenza A(H3N2) viruses circulating in coastal Kenya, 2009-2017. Influenza Other Respir Viruses 2020; 14:320-330. [PMID: 31943817 PMCID: PMC7182596 DOI: 10.1111/irv.12717] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 12/19/2019] [Accepted: 12/20/2019] [Indexed: 12/01/2022] Open
Abstract
Background Influenza viruses evolve rapidly and undergo immune driven selection, especially in the hemagglutinin (HA) protein. We report amino acid changes affecting antigenic epitopes and receptor‐binding sites of A(H3N2) viruses circulating in Kilifi, Kenya, from 2009 to 2017. Methods Next‐generation sequencing (NGS) was used to generate A(H3N2) virus genomic data from influenza‐positive specimens collected from hospital admissions and health facility outpatients presenting with acute respiratory illness to health facilities within the Kilifi Health and Demographic Surveillance System. Full‐length HA sequences were utilized to characterize A(H3N2) virus genetic and antigenic changes. Results From 186 (90 inpatient and 96 outpatient) influenza A virus‐positive specimens processed, 101 A(H3N2) virus whole genomes were obtained. Among viruses identified in inpatient specimens from 2009 to 2015, divergence of circulating A(H3N2) viruses from the vaccine strains A/Perth/16/2009, A/Texas/50/2012, and A/Switzerland/9715293/2013 formed 6 genetic clades (A/Victoria/208/2009‐like, 3B, 3C, 3C.2a, 4, and 7). Among viruses identified in outpatient specimens from 2015 to 2017, divergence of circulating A(H3N2) viruses from vaccine strain A/Hong Kong/4801/2014 formed clade 3C.2a, subclades 3C.2a2 and 3C.2a3, and subgroup 3C.2a1b. Several amino acid substitutions were associated with the continued genetic evolution of A(H3N2) strains in circulation. Conclusions Our results suggest continuing evolution of currently circulating A(H3N2) viruses in Kilifi, coastal Kenya and suggest the need for continuous genetic and antigenic viral surveillance of circulating seasonal influenza viruses with broad geographic representation to facilitate prompt and efficient selection of influenza strains for inclusion in future influenza vaccines.
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Affiliation(s)
- D Collins Owuor
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - Joyce M Ngoi
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - James R Otieno
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - Grieven P Otieno
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - Festus M Nyasimi
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - Joyce U Nyiro
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya
| | - Charles N Agoti
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.,School of Health and Human Sciences, Pwani University, Kilifi, Kenya
| | - Sandra S Chaves
- Influenza Division, Centres for Disease Control and Prevention (CDC), Nairobi, Kenya
| | - D James Nokes
- Virus Epidemiology and Control Research Group, Kenya Medical Research Institute (KEMRI) - Wellcome Trust Research Programme, Kilifi, Kenya.,School of Life Sciences and Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER), University of Warwick, Coventry, UK
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Hung SJ, Hsu YM, Huang SW, Tsai HP, Lee LYY, Hurt AC, Barr IG, Shih SR, Wang JR. Genetic variations on 31 and 450 residues of influenza A nucleoprotein affect viral replication and translation. J Biomed Sci 2020; 27:17. [PMID: 31906961 PMCID: PMC6943894 DOI: 10.1186/s12929-019-0612-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2019] [Accepted: 12/19/2019] [Indexed: 01/26/2023] Open
Abstract
Background Influenza A viruses cause epidemics/severe pandemics that pose a great global health threat. Among eight viral RNA segments, the multiple functions of nucleoprotein (NP) play important roles in viral replication and transcription. Methods To understand how NP contributes to the virus evolution, we analyzed the NP gene of H3N2 viruses in Taiwan and 14,220 NP sequences collected from Influenza Research Database. The identified genetic variations were further analyzed by mini-genome assay, virus growth assay, viral RNA and protein expression as well as ferret model to analyze their impacts on viral replication properties. Results The NP genetic analysis by Taiwan and global sequences showed similar evolution pattern that the NP backbones changed through time accompanied with specific residue substitutions from 1999 to 2018. Other than the conserved residues, fifteen sporadic substitutions were observed in which the 31R, 377G and 450S showed higher frequency. We found 31R and 450S decreased polymerase activity while the dominant residues (31 K and 450G) had higher activity. The 31 K and 450G showed better viral translation and replication in vitro and in vivo. Conclusions These findings indicated variations identified in evolution have roles in modulating viral replication in vitro and in vivo. This study demonstrates that the interaction between variations of NP during virus evolution deserves future attention.
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Affiliation(s)
- Su-Jhen Hung
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan
| | - Yin-Mei Hsu
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan
| | - Sheng-Wen Huang
- National Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Tainan, Taiwan
| | - Huey-Pin Tsai
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan.,Department of Pathology, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Leo Yi Yang Lee
- WHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, 3000, Australia
| | - Aeron C Hurt
- WHO Collaborating Centre for Reference and Research on Influenza, Victorian Infectious Diseases Reference Laboratory, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, 3000, Australia
| | - 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, Victoria, 3000, Australia
| | - Shin-Ru Shih
- Department of Medical Biotechnology and Laboratory Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Jen-Ren Wang
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan. .,Department of Pathology, National Cheng Kung University Hospital, Tainan, Taiwan. .,Center of Infectious Disease and Signaling Research, National Cheng Kung University, Tainan, Taiwan. .,National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Tainan, Taiwan.
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Ivan FX, Zhou X, Lau SH, Rashid S, Teo JSM, Lee HK, Koay ES, Chan KP, Leo YS, Chen MIC, Kwoh CK, Chow VT. Molecular insights into evolution, mutations and receptor-binding specificity of influenza A and B viruses from outpatients and hospitalized patients in Singapore. Int J Infect Dis 2020; 90:84-96. [PMID: 31669593 DOI: 10.1016/j.ijid.2019.10.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 10/16/2019] [Accepted: 10/18/2019] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND This study compared the genomes of influenza viruses that caused mild infections among outpatients and severe infections among hospitalized patients in Singapore, and characterized their molecular evolution and receptor-binding specificity. METHODS The complete genomes of influenza A/H1N1, A/H3N2 and B viruses that caused mild infections among outpatients and severe infections among inpatients in Singapore during 2012-2015 were sequenced and characterized. Using various bioinformatics approaches, we elucidated their evolutionary, mutational and structural patterns against the background of global and vaccine strains. RESULTS The phylogenetic trees of the 8 gene segments revealed that the outpatient and inpatient strains overlapped with representative global and vaccine strains. We observed a cluster of inpatients with A/H3N2 strains that were closely related to vaccine strain A/Texas/50/2012(H3N2). Several protein sites could accurately discriminate between outpatient versus inpatient strains, with site 221 in neuraminidase (NA) achieving the highest accuracy for A/H3N2. Interestingly, amino acid residues of inpatient but not outpatient isolates at those sites generally matched the corresponding residues in vaccine strains, except at site 145 of hemagglutinin (HA). This would be especially relevant for future surveillance of A/H3N2 strains in relation to their antigenicity and virulence. Furthermore, we observed a trend in which the HA proteins of influenza A/H3N2 and A/H1N1 exhibited enhanced ability to bind both avian and human host cell receptors. In contrast, the binding ability to each receptor was relatively stable for the HA of influenza B. CONCLUSIONS Overall, our findings extend our understanding of the molecular and structural evolution of influenza virus strains in Singapore within the global context of these dynamic viruses.
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Affiliation(s)
- Fransiskus X Ivan
- School of Computer Science and Engineering, Nanyang Technological University, Singapore
| | - Xinrui Zhou
- School of Computer Science and Engineering, Nanyang Technological University, Singapore
| | - Suk Hiang Lau
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Shamima Rashid
- School of Computer Science and Engineering, Nanyang Technological University, Singapore
| | - Jasmine S M Teo
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Hong Kai Lee
- Molecular Diagnosis Centre, National University Hospital, Singapore; Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Evelyn S Koay
- Molecular Diagnosis Centre, National University Hospital, Singapore; Department of Pathology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kwai Peng Chan
- Department of Pathology, Singapore General Hospital, Singapore
| | - Yee Sin Leo
- National Centre for Infectious Diseases, Singapore
| | - Mark I C Chen
- National Centre for Infectious Diseases, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Chee Keong Kwoh
- School of Computer Science and Engineering, Nanyang Technological University, Singapore.
| | - Vincent T Chow
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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Wang Y, Deng L, Gonzalez GX, Luthra L, Dong C, Ma Y, Zou J, Kang SM, Wang BZ. Double-Layered M2e-NA Protein Nanoparticle Immunization Induces Broad Cross-Protection against Different Influenza Viruses in Mice. Adv Healthc Mater 2020; 9:e1901176. [PMID: 31840437 PMCID: PMC6980908 DOI: 10.1002/adhm.201901176] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 11/18/2019] [Indexed: 12/13/2022]
Abstract
The development of a universal influenza vaccine is an ideal strategy to eliminate public health threats from influenza epidemics and pandemics. This ultimate goal is restricted by the low immunogenicity of conserved influenza epitopes. Layered protein nanoparticles composed of well-designed conserved influenza structures have shown improved immunogenicity with new physical and biochemical features. Herein, structure-stabilized influenza matrix protein 2 ectodomain (M2e) and M2e-neuraminidase fusion (M2e-NA) recombinant proteins are generated and M2e protein nanoparticles and double-layered M2e-NA protein nanoparticles are produced by ethanol desolvation and chemical crosslinking. Immunizations with these protein nanoparticles induce immune protection against different viruses of homologous and heterosubtypic NA in mice. Double-layered M2e-NA protein nanoparticles induce higher levels of humoral and cellular responses compared with their comprising protein mixture or M2e nanoparticles. Strong cytotoxic T cell responses are induced in the layered M2e-NA protein nanoparticle groups. Antibody responses contribute to the heterosubtypic NA immune protection. The protective immunity is long lasting. These results demonstrate that double-layered protein nanoparticles containing structure-stabilized M2e and NA can be developed into a universal influenza vaccine or a synergistic component of such vaccines. Layered protein nanoparticles can be a general vaccine platform for different pathogens.
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Affiliation(s)
- Ye Wang
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
| | | | - Gilbert X. Gonzalez
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
| | - Latika Luthra
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
| | - Chunhong Dong
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
| | - Yao Ma
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
| | - Jun Zou
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
| | - Sang-Moo Kang
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
| | - Bao-Zhong Wang
- Center for Inflammation, Immunity & Infection, Georgia State University Institute for Biomedical Sciences, 100 Piedmont Road, Atlanta, Georgia 30302, USA
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Different Subtypes of Influenza Viruses Target Different Human Proteins and Pathways Leading to Different Pathogenic Phenotypes. BIOMED RESEARCH INTERNATIONAL 2019; 2019:4794910. [PMID: 31772934 PMCID: PMC6854240 DOI: 10.1155/2019/4794910] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 07/17/2019] [Indexed: 12/11/2022]
Abstract
Different subtypes of influenza A viruses (IAVs) cause different pathogenic phenotypes after infecting human bodies. Analysis of the interactions between viral proteins and the host proteins may provide insights into the pathogenic mechanisms of the virus. In this paper, we found that the same proteins (nucleoprotein and neuraminidase) of H1N1 and H5N1 have different impacts on the NF-κB activation. By further examining the virus–host protein–protein interactions, we found that both NP and NA proteins of the H1N1 and H5N1 viruses target different host proteins. These results indicate that different subtypes of influenza viruses target different human proteins and pathways leading to different pathogenic phenotypes.
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50
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Ning T, Nie J, Huang W, Li C, Li X, Liu Q, Zhao H, Wang Y. Antigenic Drift of Influenza A(H7N9) Virus Hemagglutinin. J Infect Dis 2019; 219:19-25. [PMID: 29982588 DOI: 10.1093/infdis/jiy408] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Accepted: 06/28/2018] [Indexed: 01/03/2023] Open
Abstract
Background Since the emergence of influenza A(H7N9) virus in 2013, there have been 5 waves of influenza A(H7N9) epidemics in China. However, evolution of the hemagglutinin (HA) protein antigenicity has not been systematically investigated. Methods To better understand how antigenic drift in HA proteins of influenza (A)H7N9 virus occurs, 902 influenza A(H7N9) virus HA protein sequences from a public database were retrieved and analyzed. Fifty-three mutants with single amino acid substitutions in HA protein were introduced into pseudoviruses, and their antigenic characteristics were analyzed using pseudovirus-based assays. Results The frequencies of 9 mutations incrementally increased over the past 5 years, with mutations identified at multiple sites. While mean neutralization titers of most variants remained unchanged, 3 mutations, A143V, A143T, and R148K, displayed a median 4-fold lower susceptibility to neutralization by antisera against influenza A/Anhui/1/2013(H7N9) virus. Notably, A143V and A143T were located outside the previously reported antigenic sites. The most dominant variant (A143V/R148K) in the most recent season constituted 74.11% of all mutations and demonstrated a 10-fold reduction in its reactivity to influenza A/Anhui/1/2013(H7N9) virus antisera. Importantly, compared with the DNA construct without the corresponding HA protein mutation, DNA vaccine encoding the A143V/R148K mutant induced a 5-fold increase in the neutralizing activity against this circulating virus. Conclusions An appropriate vaccine strain should be considered in response to increasing antigenic drift in influenza A(H7N9) virus HA protein.
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Affiliation(s)
- Tingting Ning
- Division of HIV/AIDS and Sexually Transmitted Virus Vaccines, Beijing, China.,Graduate School of Peking Union Medical College, Beijing, China
| | - Jianhui Nie
- Division of HIV/AIDS and Sexually Transmitted Virus Vaccines, Beijing, China
| | - Weijin Huang
- Division of HIV/AIDS and Sexually Transmitted Virus Vaccines, Beijing, China
| | - Changgui Li
- Division of Respiratory Virus Vaccines, National Institutes for Food and Drug Control, Beijing, China
| | - Xuguang Li
- Centre for Biologics Evaluation, Biologics and Genetic Therapies Directorate, Health Canada, Ottawa, Canada
| | - Qiang Liu
- Division of HIV/AIDS and Sexually Transmitted Virus Vaccines, Beijing, China
| | - Hui Zhao
- Division of Respiratory Virus Vaccines, National Institutes for Food and Drug Control, Beijing, China
| | - Youchun Wang
- Division of HIV/AIDS and Sexually Transmitted Virus Vaccines, Beijing, China.,Graduate School of Peking Union Medical College, Beijing, China
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