1
|
Fu L, Yang Q, Liu X, He L. Risk assessment of infectious disease epidemic based on fuzzy Bayesian network. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2024; 44:40-53. [PMID: 37038093 DOI: 10.1111/risa.14137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 02/27/2023] [Accepted: 03/02/2023] [Indexed: 06/19/2023]
Abstract
The prevention and control of infectious disease epidemic (IDE) is an important task for every country and region. Risk assessment is significant for the prevention and control of IDE. Fuzzy Bayesian networks (FBN) can capture complex causality and uncertainty. The study developed a novel FBN model, integrating grounded theory, interpretive structural model, and expert weight determination algorithm for the risk assessment of IDE. The algorithm is proposed by the authors for expert weighting in fuzzy environment. The proposed FBN model comprehensively takes into account the risk factors and the interaction among them, and quantifies the uncertainty of IDE risk assessment, so as to make the assessment results more reliable. Taking the epidemic situation of COVID-19 in Wuhan as a case, the application of the proposed model is illustrated. And sensitivity analysis is performed to identify the important risk factors of IDE. Moreover, the effectiveness of the model is checked by the three-criterion-based quantitative validation method including variation connection, consistent effect, and cumulative limitation. Results show that the probability of the outbreak of COVID-19 in Wuhan is as high as 82.26%, which is well-matched with the actual situation. "Information transfer mechanism," "coordination and cooperation among various personnel," "population flow," and "ability of quarantine" are key risk factors. The constructed model meets the above three criteria. The application potential and effectiveness of the developed FBN model are demonstrated. The study provides decision support for preventing and controlling IDE.
Collapse
Affiliation(s)
- Lingmei Fu
- College of Emergency Management, Nanjing Tech University, Nanjing, Jiangsu, China
| | - Qing Yang
- School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, Hubei, China
| | - Xingxing Liu
- School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan, Hubei, China
| | - Ling He
- School of Management, Wuhan Institute of Technology, Wuhan, Hubei, China
| |
Collapse
|
2
|
Mollentze N, Streicker DG. Predicting zoonotic potential of viruses: where are we? Curr Opin Virol 2023; 61:101346. [PMID: 37515983 DOI: 10.1016/j.coviro.2023.101346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/28/2023] [Accepted: 06/30/2023] [Indexed: 07/31/2023]
Abstract
The prospect of identifying high-risk viruses and designing interventions to pre-empt their emergence into human populations is enticing, but controversial, particularly when used to justify large-scale virus discovery initiatives. We review the current state of these efforts, identifying three broad classes of predictive models that have differences in data inputs that define their potential utility for triaging newly discovered viruses for further investigation. Prospects for model predictions of public health risk to guide preparedness depend not only on computational improvements to algorithms, but also on more efficient data generation in laboratory, field and clinical settings. Beyond public health applications, efforts to predict zoonoses provide unique research value by creating generalisable understanding of the ecological and evolutionary factors that promote viral emergence.
Collapse
Affiliation(s)
- Nardus Mollentze
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow G12 8QQ, United Kingdom; MRC-University of Glasgow Centre for Virus Research, G61 1QH, United Kingdom
| | - Daniel G Streicker
- School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow G12 8QQ, United Kingdom; MRC-University of Glasgow Centre for Virus Research, G61 1QH, United Kingdom.
| |
Collapse
|
3
|
Zorić JM, Veljović L, Radosavljević V, Glišić D, Kureljušić J, Maletić J, Savić B. Protein sequence features of H1N1 swine influenza A viruses detected on commercial swine farms in Serbia. J Vet Res 2023; 67:147-154. [PMID: 38143831 PMCID: PMC10740377 DOI: 10.2478/jvetres-2023-0034] [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: 02/07/2023] [Accepted: 06/02/2023] [Indexed: 12/26/2023] Open
Abstract
Introduction Swine influenza A viruses (swIAVs) are characterised by high mutation rates and zoonotic and pandemic potential. In order to draw conclusions about virulence in swine and pathogenicity to humans, we examined the existence of molecular markers and accessory proteins, cross-reactivity with vaccine strains, and resistance to antiviral drugs in five strains of H1N1 swIAVs. Material and Methods Amino acid (AA) sequences of five previously genetically characterised swIAVs were analysed in MEGA 7.0 software and the Influenza Research Database. Results Amino acid analysis revealed three virus strains with 590S/591R polymorphism and T271A substitution within basic polymerase 2 (PB2) AA chains, which cause enhanced virus replication in mammalian cells. The other two strains possessed D701N and R251K substitutions within PB2 and synthesised PB1-F2 protein, which are the factors of increased polymerase activity and virulence in swine. All strains synthesised PB1-N40, PA-N155, PA-N182, and PA-X proteins responsible for enhanced replication in mammalian cells and downregulation of the immune response of the host. Mutations detected within haemagglutinin antigenic sites imply the antigenic drift of the five analysed viruses in relation to the vaccine strains. All viruses show susceptibility to neuraminidase inhibitors and baloxavir marboxil, which is important in situations of incidental human infections. Conclusion The detection of virulence markers and accessory proteins in the analysed viruses suggests their higher propensity for replication in mammalian cells, increased virulence, and potential for transmission to humans, and implies compromised efficacy of influenza vaccines.
Collapse
Affiliation(s)
| | - Ljubiša Veljović
- Department of Virology, Institute of Veterinary Medicine of Serbia, 11000Belgrade, Serbia
| | - Vladimir Radosavljević
- Department of Virology, Institute of Veterinary Medicine of Serbia, 11000Belgrade, Serbia
| | - Dimitrije Glišić
- Department of Virology, Institute of Veterinary Medicine of Serbia, 11000Belgrade, Serbia
| | - Jasna Kureljušić
- Department of Food and Feed Safety, Institute of Veterinary Medicine of Serbia, 11000Belgrade, Serbia
| | - Jelena Maletić
- Department of Poultry Diseases, Institute of Veterinary Medicine of Serbia, 11000Belgrade, Serbia
| | - Božidar Savić
- Department of Pathology, Institute of Veterinary Medicine of Serbia, 11000Belgrade, Serbia
| |
Collapse
|
4
|
Padmanabha Das KM. Editorial: Antiviral drug discovery against pathogens of pandemic concern: Advancements in target site identification and structure-based drug development. Front Mol Biosci 2023; 10:1165208. [PMID: 36968270 PMCID: PMC10034765 DOI: 10.3389/fmolb.2023.1165208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 02/20/2023] [Indexed: 03/12/2023] Open
Affiliation(s)
- Krishna M. Padmanabha Das
- Department of Biological Chemistry and Molecular Pharmacology (BCMP), Harvard Medical School, Boston, MA, United States
- Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, United States
- *Correspondence: Krishna M. Padmanabha Das,
| |
Collapse
|
5
|
Pan X, Su X, Ding P, Zhao J, Cui H, Yan D, Teng Q, Li X, Beerens N, Zhang H, Liu Q, de Jong MCM, Li Z. Maternal-derived antibodies hinder the antibody response to H9N2 AIV inactivated vaccine in the field. ANIMAL DISEASES 2022. [DOI: 10.1186/s44149-022-00040-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
AbstractThe H9N2 subtype avian influenza virus (AIV) inactivated vaccine has been used extensively in poultry farms, but it often fails to stimulate a sufficiently high immune response in poultry in the field, although it works well in laboratory experiments; hence, the virus still causes economic damage every year and poses a potential threat to public health. Based on surveillance data collected in the field, we found that broilers with high levels of maternal-derived antibodies (MDAs) against H9N2 virus did not produce high levels of antibodies after vaccination with a commercial H9N2 inactivated vaccine. In contrast, specific pathogen-free (SPF) chickens without MDAs responded efficiently to that vaccination. When MDAs were mimicked by administering passively transferred antibodies (PTAs) into SPF chickens in the laboratory, similar results were observed: H9N2-specific PTAs inhibited humoral immunity against the H9N2 inactivated vaccine, suggesting that H9N2-specific MDAs might hinder the generation of antibodies when H9N2 inactivated vaccine was used. After challenge with homologous H9N2 virus, the virus was detected in oropharyngeal swabs of the vaccinated and unvaccinated chickens with PTAs but not in the vaccinated chickens without PTAs, indicating that H9N2-specific MDAs were indeed one of the reasons for H9N2 inactivated vaccine failure in the field. When different titers of PTAs were used to mimic MDAs in SPF chickens, high (HI = 12 log2) and medium (HI = log 9 log2) titers of PTAs reduced the generation of H9N2-specific antibodies after the first vaccination, but a booster dose would induce a high and faster humoral immune response even of PTA interference. This study strongly suggested that high or medium titers of MDAs might explain H9N2 inactivated vaccine failure in the field.
Collapse
|
6
|
Vandoorn E, Leroux-Roels I, Leroux-Roels G, Parys A, Vincent A, Van Reeth K. Detection of H1 Swine Influenza A Virus Antibodies in Human Serum Samples by Age Group 1. Emerg Infect Dis 2021; 26:2118-2128. [PMID: 32818398 PMCID: PMC7454048 DOI: 10.3201/eid2609.191796] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Most H1 influenza A viruses (IAVs) of swine are derived from past human viruses. As human population immunity against these IAVs gradually decreases, the risk of reintroduction to humans increases. We examined 549 serum samples from persons 0-97 years of age collected in Belgium during 2017-2018 for hemagglutination inhibiting and virus neutralizing antibodies against 7 major H1 swine IAV (swIAV) clades and 3 human progenitor IAVs. Seroprevalence (titers >40) rates were >50% for classical swine and European human-like swIAVs, >24% for North American human-like δ1a and Asian avian-like swIAVs, and <10% for North American human-like δ1b and European avian-like swIAVs, but rates were age-dependent. Antibody titers against human-like swIAVs and supposed human precursor IAVs correlated with correlation coefficients of 0.30-0.86. Our serologic findings suggest that European avian-like, clade 1C.2.1, and North American human-like δ1b, clade 1B.2.2.2, H1 swIAVs pose the highest pandemic risk.
Collapse
|
7
|
Grange ZL, Goldstein T, Johnson CK, Anthony S, Gilardi K, Daszak P, Olival KJ, O'Rourke T, Murray S, Olson SH, Togami E, Vidal G, Mazet JAK. Ranking the risk of animal-to-human spillover for newly discovered viruses. Proc Natl Acad Sci U S A 2021; 118:e2002324118. [PMID: 33822740 PMCID: PMC8053939 DOI: 10.1073/pnas.2002324118] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
The death toll and economic loss resulting from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic are stark reminders that we are vulnerable to zoonotic viral threats. Strategies are needed to identify and characterize animal viruses that pose the greatest risk of spillover and spread in humans and inform public health interventions. Using expert opinion and scientific evidence, we identified host, viral, and environmental risk factors contributing to zoonotic virus spillover and spread in humans. We then developed a risk ranking framework and interactive web tool, SpillOver, that estimates a risk score for wildlife-origin viruses, creating a comparative risk assessment of viruses with uncharacterized zoonotic spillover potential alongside those already known to be zoonotic. Using data from testing 509,721 samples from 74,635 animals as part of a virus discovery project and public records of virus detections around the world, we ranked the spillover potential of 887 wildlife viruses. Validating the risk assessment, the top 12 were known zoonotic viruses, including SARS-CoV-2. Several newly detected wildlife viruses ranked higher than known zoonotic viruses. Using a scientifically informed process, we capitalized on the recent wealth of virus discovery data to systematically identify and prioritize targets for investigation. The publicly accessible SpillOver platform can be used by policy makers and health scientists to inform research and public health interventions for prevention and rapid control of disease outbreaks. SpillOver is a living, interactive database that can be refined over time to continue to improve the quality and public availability of information on viral threats to human health.
Collapse
Affiliation(s)
- Zoë L Grange
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616;
| | - Tracey Goldstein
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616
| | - Christine K Johnson
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616
| | - Simon Anthony
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616
- EcoHealth Alliance, New York, NY 1001
- Center for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY 10032
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032
| | - Kirsten Gilardi
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616
| | | | | | | | - Suzan Murray
- Global Health, Smithsonian Conservation Biology Institute, Washington, DC 20008
| | | | - Eri Togami
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616
| | - Gema Vidal
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616
| | - Jonna A K Mazet
- One Health Institute and Karen C. Drayer Wildlife Health Center, School of Veterinary Medicine, University of California, Davis, CA 95616;
| |
Collapse
|
8
|
Ding F, Li Y, Huang B, Edwards J, Cai C, Zhang G, Jiang D, Wang Q, Robertson ID. Infection and risk factors of human and avian influenza in pigs in south China. Prev Vet Med 2021; 190:105317. [PMID: 33744674 DOI: 10.1016/j.prevetmed.2021.105317] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 02/09/2021] [Accepted: 03/01/2021] [Indexed: 11/19/2022]
Abstract
The coinfection of swine influenza (SI) strains and avian/human-source influenza strains in piggeries can contribute to the evolution of new influenza viruses with pandemic potential. This study analyzed surveillance data on SI in south China and explored the spatial predictor variables associated with different influenza infection scenarios in counties within the study area. Blood samples were collected from 7670 pigs from 534 pig farms from 2015 to 2017 and tested for evidence of infection with influenza strains from swine, human and avian sources. The herd prevalences for EA H1N1, H1N1pdm09, classic H1N1, HS-like H3N2, seasonal human H1N1 and avian influenza H9N2 were 88.5, 64.5, 60.3, 57.8, 12.9 and 10.3 %, respectively. Anthropogenic factors including detection frequency, chicken density, duck density, pig density and human population density were found to be better predictor variables for three influenza infection scenarios (infection with human strains, infection with avian strains, and coinfection with H9N2 avian strain and at least one swine strain) than were meteorological and geographical factors. Predictive risk maps generated for the four provinces in south China highlighted that the areas with a higher risk of the three infection scenarios were predominantly clustered in the delta area of the Pearl River in Guangdong province and counties surrounding Poyang Lake in Jiangxi province. Identification of higher risk areas can inform targeted surveillance for influenza in humans and pigs, helping public health authorities in designing risk-based SI control strategies to address the pandemic influenza threat in south China.
Collapse
Affiliation(s)
- Fangyu Ding
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yin Li
- School of Veterinary Medicine, Murdoch University, Perth, WA, Australia; China Animal Health and Epidemiology Center, Qingdao, Shandong, China
| | - Baoxu Huang
- School of Veterinary Medicine, Murdoch University, Perth, WA, Australia; China Animal Health and Epidemiology Center, Qingdao, Shandong, China
| | - John Edwards
- School of Veterinary Medicine, Murdoch University, Perth, WA, Australia; China Animal Health and Epidemiology Center, Qingdao, Shandong, China
| | - Chang Cai
- Zhejiang Agricultural and Forestry University, Hangzhou, China
| | - Guihong Zhang
- South China Agriculture University, Guangzhou, Guangdong, China
| | - Dong Jiang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land & Resources, Beijing, 100101, China.
| | - Qian Wang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Ian D Robertson
- School of Veterinary Medicine, Murdoch University, Perth, WA, Australia; China-Australia Joint Research and Training Centre for Veterinary Epidemiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, China.
| |
Collapse
|
9
|
Kocabiyik O, Cagno V, Silva PJ, Zhu Y, Sedano L, Bhide Y, Mettier J, Medaglia C, Da Costa B, Constant S, Huang S, Kaiser L, Hinrichs WLJ, Huckriede A, Le Goffic R, Tapparel C, Stellacci F. Non-Toxic Virucidal Macromolecules Show High Efficacy Against Influenza Virus Ex Vivo and In Vivo. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:2001012. [PMID: 33552848 PMCID: PMC7856883 DOI: 10.1002/advs.202001012] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 09/07/2020] [Indexed: 06/12/2023]
Abstract
Influenza is one of the most widespread viral infections worldwide and represents a major public health problem. The risk that one of the next pandemics is caused by an influenza strain is high. It is important to develop broad-spectrum influenza antivirals to be ready for any possible vaccine shortcomings. Anti-influenza drugs are available but they are far from ideal. Arguably, an ideal antiviral should target conserved viral domains and be virucidal, that is, irreversibly inhibit viral infectivity. Here, a new class of broad-spectrum anti-influenza macromolecules is described that meets these criteria and display exceedingly low toxicity. These compounds are based on a cyclodextrin core modified on its primary face with long hydrophobic linkers terminated either in 6'sialyl-N-acetyllactosamine (6'SLN) or in 3'SLN. SLN enables nanomolar inhibition of the viruses while the hydrophobic linkers confer irreversibility to the inhibition. The combination of these two properties allows for efficacy in vitro against several human or avian influenza strains, as well as against a 2009 pandemic influenza strain ex vivo. Importantly, it is shown that, in mice, one of the compounds provides therapeutic efficacy when administered 24 h post-infection allowing 90% survival as opposed to no survival for the placebo and oseltamivir.
Collapse
Affiliation(s)
- Ozgun Kocabiyik
- Insitute of MaterialsÉcole Polytechnique Fédérale de LausanneStation 12Lausanne1015Switzerland
| | - Valeria Cagno
- Insitute of MaterialsÉcole Polytechnique Fédérale de LausanneStation 12Lausanne1015Switzerland
- Department of Microbiology and Molecular MedicineUniversity of GenevaRue Michel Servet 1Geneva1205Switzerland
| | - Paulo Jacob Silva
- Insitute of MaterialsÉcole Polytechnique Fédérale de LausanneStation 12Lausanne1015Switzerland
| | - Yong Zhu
- Insitute of MaterialsÉcole Polytechnique Fédérale de LausanneStation 12Lausanne1015Switzerland
| | - Laura Sedano
- Virologie et Immunologie MoleculaireInstitut National Recherche AgronomiqueUniversité Paris‐SaclayJouy en Josas78350France
| | - Yoshita Bhide
- Department of Pharmaceutical Technology and BiopharmacyUniversity of GroningenGroningen9713GZThe Netherlands
- University Medical Center GroningenDepartment of Medical Microbiology and Infection Prevention (internal postcode EB88)University of GroningenHanzeplein 1Groningen9713GZThe Netherlands
| | - Joelle Mettier
- Virologie et Immunologie MoleculaireInstitut National Recherche AgronomiqueUniversité Paris‐SaclayJouy en Josas78350France
| | - Chiara Medaglia
- Department of Microbiology and Molecular MedicineUniversity of GenevaRue Michel Servet 1Geneva1205Switzerland
| | - Bruno Da Costa
- Virologie et Immunologie MoleculaireInstitut National Recherche AgronomiqueUniversité Paris‐SaclayJouy en Josas78350France
| | | | - Song Huang
- Epithelix SasChemin des Aulx 18Geneva1228Switzerland
| | - Laurent Kaiser
- Hopital Universitaire de GenèveRue Gabrielle Perret Gentil 4Geneva1205Switzerland
| | - Wouter L. J. Hinrichs
- Department of Pharmaceutical Technology and BiopharmacyUniversity of GroningenGroningen9713GZThe Netherlands
| | - Anke Huckriede
- University Medical Center GroningenDepartment of Medical Microbiology and Infection Prevention (internal postcode EB88)University of GroningenHanzeplein 1Groningen9713GZThe Netherlands
| | - Ronan Le Goffic
- Virologie et Immunologie MoleculaireInstitut National Recherche AgronomiqueUniversité Paris‐SaclayJouy en Josas78350France
| | - Caroline Tapparel
- Department of Microbiology and Molecular MedicineUniversity of GenevaRue Michel Servet 1Geneva1205Switzerland
| | - Francesco Stellacci
- Insitute of MaterialsÉcole Polytechnique Fédérale de LausanneStation 12Lausanne1015Switzerland
- Bioengineering InstituteEcole Polytechnique Fédérale de LausanneStation 12Lausanne1015Switzerland
| |
Collapse
|
10
|
Everett HE, Nash B, Londt BZ, Kelly MD, Coward V, Nunez A, van Diemen PM, Brown IH, Brookes SM. Interspecies Transmission of Reassortant Swine Influenza A Virus Containing Genes from Swine Influenza A(H1N1)pdm09 and A(H1N2) Viruses. Emerg Infect Dis 2021; 26:273-281. [PMID: 31961298 PMCID: PMC6986826 DOI: 10.3201/eid2602.190486] [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] [Indexed: 11/25/2022] Open
Abstract
Influenza A(H1N1)pdm09 (pH1N1) virus has become established in swine in the United Kingdom and currently co-circulates with previously enzootic swine influenza A virus (IAV) strains, including avian-like H1N1 and human-like H1N2 viruses. During 2010, a swine influenza A reassortant virus, H1N2r, which caused mild clinical disease in pigs in the United Kingdom, was isolated. This reassortant virus has a novel gene constellation, incorporating the internal gene cassette of pH1N1-origin viruses and hemagglutinin and neuraminidase genes of swine IAV H1N2 origin. We investigated the pathogenesis and infection dynamics of the H1N2r isolate in pigs (the natural host) and in ferrets, which represent a human model of infection. Clinical and virologic parameters were mild in both species and both intraspecies and interspecies transmission was observed when initiated from either infected pigs or infected ferrets. This novel reassortant virus has zoonotic and reverse zoonotic potential, but no apparent increased virulence or transmissibility, in comparison to pH1N1 viruses.
Collapse
|
11
|
The Challenges and Opportunities for ERM Post-COVID-19: Agendas for Future Research. JOURNAL OF RISK AND FINANCIAL MANAGEMENT 2020. [DOI: 10.3390/jrfm13120323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In this paper, we examine the impact that COVID-19 has had on enterprise risk management (ERM). Guided by the origins and philosophy of ERM, we suggest an agenda for future research on ERM in a “post-COVID-19” reality, by addressing its integrated, strategic, and value-enhancing orientation. To guide future research endeavors in ERM, which is still an evolving discipline, we present topics that would benefit from additional research attention within both risk identification and analysis, as well as the strategic dimension of ERM.
Collapse
|
12
|
Chen PL, Tzeng TT, Hu AYC, Wang LHC, Lee MS. Development and Evaluation of Vero Cell-Derived Master Donor Viruses for Influenza Pandemic Preparedness. Vaccines (Basel) 2020; 8:vaccines8040626. [PMID: 33113866 PMCID: PMC7712210 DOI: 10.3390/vaccines8040626] [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: 08/19/2020] [Revised: 10/11/2020] [Accepted: 10/16/2020] [Indexed: 11/16/2022] Open
Abstract
The embryonated egg-based platform currently produces the majority of seasonal influenza vaccines by employing a well-developed master donor virus (MDV, A/PR/8/34 (PR8)) to generate high-growth reassortants (HGRs) for A/H1N1 and A/H3N2 subtypes. Although the egg-based platform can supply enough seasonal influenza vaccines, it cannot meet surging demands during influenza pandemics. Therefore, multi-purpose platforms are desirable for pandemic preparedness. The Vero cell-based production platform is widely used for human vaccines and could be a potential multi-purpose platform for pandemic influenza vaccines. However, many wild-type and egg-derived influenza viruses cannot grow efficiently in Vero cells. Therefore, it is critical to develop Vero cell-derived high-growth MDVs for pandemic preparedness. In this study, we evaluated two in-house MDVs (Vero-15 and VB5) and two external MDVs (PR8 and PR8-HY) to generate Vero cell-derived HGRs for five avian influenza viruses (AIVs) with pandemic potentials (H5N1 clade 2.3.4, H5N1 clade 2.3.2.1, American-lineage H5N2, H7N9 first wave and H7N9 fifth wave). Overall, no single MDV could generate HGRs for all five AIVs, but this goal could be achieved by employing two in-house MDVs (vB5 and Vero-15). In immunization studies, mice received two doses of Vero cell-derived inactivated H5N1 and H7N9 whole virus antigens adjuvanted with alum and developed robust antibody responses.
Collapse
Affiliation(s)
- Po-Ling Chen
- National Institution of Infectious Diseases and Vaccinology, National Health Research Institutes (NHRI), Zhunan, Miaoli 35053, Taiwan; (P.-L.C.); (T.-T.T.); (A.Y.-C.H.)
- Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 300044, Taiwan;
| | - Tsai-Teng Tzeng
- National Institution of Infectious Diseases and Vaccinology, National Health Research Institutes (NHRI), Zhunan, Miaoli 35053, Taiwan; (P.-L.C.); (T.-T.T.); (A.Y.-C.H.)
| | - Alan Yung-Chih Hu
- National Institution of Infectious Diseases and Vaccinology, National Health Research Institutes (NHRI), Zhunan, Miaoli 35053, Taiwan; (P.-L.C.); (T.-T.T.); (A.Y.-C.H.)
| | - Lily Hui-Ching Wang
- Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 300044, Taiwan;
| | - Min-Shi Lee
- National Institution of Infectious Diseases and Vaccinology, National Health Research Institutes (NHRI), Zhunan, Miaoli 35053, Taiwan; (P.-L.C.); (T.-T.T.); (A.Y.-C.H.)
- Correspondence: ; Tel.: +886-37-206-166
| |
Collapse
|
13
|
Sun Y, Zhang K, Qi H, Zhang H, Zhang S, Bi Y, Wu L, Sun L, Qi J, Liu D, Ma J, Tien P, Liu W, Li J. Computational predicting the human infectivity of H7N9 influenza viruses isolated from avian hosts. Transbound Emerg Dis 2020; 68:846-856. [PMID: 32706427 PMCID: PMC8246913 DOI: 10.1111/tbed.13750] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/03/2020] [Accepted: 07/13/2020] [Indexed: 12/21/2022]
Abstract
The genome composition of a given avian influenza virus is the primary determinant of its potential for cross-species transmission from birds to humans. Here, we introduce a viral genome-based computational tool that can be used to evaluate the human infectivity of avian isolates of influenza A H7N9 viruses, which can enable prediction of the potential risk of these isolates infecting humans. This tool, which is based on a novel class weight-biased logistic regression (CWBLR) algorithm, uses the sequences of the eight genome segments of an H7N9 strain as the input and gives the probability of this strain infecting humans (reflecting its human infectivity). We examined the replication efficiency and the pathogenicity of several H7N9 avian isolates that were predicted to have very low or high human infectivity by the CWBLR model in cell culture and in mice, and found that the strains with high predicted human infectivity replicated more efficiently in mammalian cells and were more infective in mice than those that were predicted to have low human infectivity. These results demonstrate that our CWBLR model can serve as a powerful tool for predicting the human infectivity and cross-species transmission risks of H7N9 avian strains.
Collapse
Affiliation(s)
- Yeping Sun
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Kun Zhang
- Philips Institute for Oral Health Research, School of Dentistry, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Heyuan Qi
- Information Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - He Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Shuang Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Linhuan Wu
- Information Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Lei Sun
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Di Liu
- CAS Key Laboratory of Special Pathogens and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Juncai Ma
- Information Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Po Tien
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China.,Institute of Microbiology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Beijing, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresourses & Laboratory of Animal Infectious Diseases, College of Animal Sciences and Veterinary Medicine, Guangxi University, Guangxi, China
| | - Jing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.,Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| |
Collapse
|
14
|
Tialla D, Sausy A, Cissé A, Sagna T, Ilboudo AK, Ouédraogo GA, Hübschen JM, Tarnagda Z, Snoeck CJ. Serological evidence of swine exposure to pandemic H1N1/2009 influenza A virus in Burkina Faso. Vet Microbiol 2019; 241:108572. [PMID: 31928706 DOI: 10.1016/j.vetmic.2019.108572] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 12/29/2019] [Accepted: 12/30/2019] [Indexed: 12/25/2022]
Abstract
Despite improvement of human and avian influenza surveillance, swine influenza surveillance in sub-Saharan Africa is scarce and pandemic preparedness is still deemed inadequate, including in Burkina Faso. This cross-sectional study therefore aimed to investigate the (past) exposure of pigs to influenza A viruses. Practices of people with occupational contacts with pigs and their knowledge on influenza A were investigated in order to formulate future prevention guidelines. In 2016-2017, pig nasopharyngeal swabs and sera were collected and screened for the presence of influenza virus by RT-PCR or of anti-influenza antibodies by competitive ELISA. Seropositive samples were further characterized in virus microneutralization assays against human and swine H1N1 virus strains. Nasopharyngeal swabs were obtained from people with occupational contact with pigs and screened similarly. Demographic data as well as practices related to their profession were recorded. No influenza A virus was detected in nasopharyngeal swabs in humans (n = 358) or in pigs (n = 600). Seroprevalence in pigs reached 6.8 % (41/600) and seropositive animals were found in 50.0 % of extensive settings (10/20) and 19.0 % of (semi-)intensive farms (4/21). All positive sera reacted against the pandemic H1N1/2009 strain, while seropositivity against two Eurasian avian-like and one American swine H1N1 strains and individual titers were lower. These results suggested exposure to pandemic H1N1/2009 virus and cross-reactivity to other H1N1 strains. Farmers with higher frequency of contact to pigs, absence of protective equipment and lack of knowledge on zoonoses are likely key players in driving human-to-swine virus transmission.
Collapse
Affiliation(s)
- Dieudonné Tialla
- Unité des Maladies à potentiel Epidémique, Maladies Emergentes et Zoonoses (UMEMEZ), Département Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé (IRSS), 399, Avenue de la Liberté 01, BP 545, Bobo-Dioulasso, Burkina Faso; Ecole Nationale de l'Elevage et de la Santé Animale (ENESA), Secteur 28, Ouagadougou, Burkina Faso.
| | - Aurélie Sausy
- Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg.
| | - Assana Cissé
- Unité des Maladies à potentiel Epidémique, Maladies Emergentes et Zoonoses (UMEMEZ), Département Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé (IRSS), 399, Avenue de la Liberté 01, BP 545, Bobo-Dioulasso, Burkina Faso.
| | - Tani Sagna
- Unité des Maladies à potentiel Epidémique, Maladies Emergentes et Zoonoses (UMEMEZ), Département Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé (IRSS), 399, Avenue de la Liberté 01, BP 545, Bobo-Dioulasso, Burkina Faso.
| | - Abdoul Kader Ilboudo
- Unité des Maladies à potentiel Epidémique, Maladies Emergentes et Zoonoses (UMEMEZ), Département Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé (IRSS), 399, Avenue de la Liberté 01, BP 545, Bobo-Dioulasso, Burkina Faso.
| | - Georges Anicet Ouédraogo
- Laboratoire de Recherche et d'Enseignement en Santé et Biotechnologies Animales (LARESBA), Université Nazi Boni, 01 BP 109, Bobo-Dioulasso, Burkina Faso.
| | - Judith M Hübschen
- Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg.
| | - Zékiba Tarnagda
- Unité des Maladies à potentiel Epidémique, Maladies Emergentes et Zoonoses (UMEMEZ), Département Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé (IRSS), 399, Avenue de la Liberté 01, BP 545, Bobo-Dioulasso, Burkina Faso.
| | - Chantal J Snoeck
- Infectious Diseases Research Unit, Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29 rue Henri Koch, L-4354, Esch-sur-Alzette, Luxembourg.
| |
Collapse
|
15
|
Wang G, Dos Anjos Borges LG, Stadlbauer D, Ramos I, Bermúdez González MC, He J, Ding Y, Wei Z, Ouyang K, Huang W, Simon V, Fernandez-Sesma A, Krammer F, Nelson MI, Chen Y, García-Sastre A. Characterization of swine-origin H1N1 canine influenza viruses. Emerg Microbes Infect 2019; 8:1017-1026. [PMID: 31287780 PMCID: PMC7011970 DOI: 10.1080/22221751.2019.1637284] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Host switch events of influenza A viruses (IAVs) continuously pose a zoonotic threat to humans. In 2013, swine-origin H1N1 IAVs emerged in dogs soon after they were detected in swine in the Guangxi province of China. This host switch was followed by multiple reassortment events between these H1N1 and previously circulating H3N2 canine IAVs (IAVs-C) in dogs. To evaluate the phenotype of these newly identified viruses, we characterized three swine-origin H1N1 IAVs-C and one reassortant H1N1 IAV-C. We found that H1N1 IAVs-C predominantly bound to human-type receptors, efficiently transmitted via direct contact in guinea pigs and replicated in human lung cells. Moreover, the swine-origin H1N1 IAVs-C were lethal in mice and were transmissible by respiratory droplets in guinea pigs. Importantly, sporadic human infections with these viruses have been detected, and preexisting immunity in humans might not be sufficient to prevent infections with these new viruses. Our results show the potential of H1N1 IAVs-C to infect and transmit in humans, suggesting that these viruses should be closely monitored in the future.
Collapse
Affiliation(s)
- Guojun Wang
- a The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences , Inner Mongolia University , Hohhot , People's Republic of China.,b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA.,c Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai , New York , USA
| | - Luiz Gustavo Dos Anjos Borges
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA.,c Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai , New York , USA
| | - Daniel Stadlbauer
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA
| | - Irene Ramos
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA
| | - Maria C Bermúdez González
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA.,c Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai , New York , USA
| | - Jianqiao He
- d College of Animal Science and Technology , Guangxi University , Nanning , People's Republic of China
| | - Yangbao Ding
- d College of Animal Science and Technology , Guangxi University , Nanning , People's Republic of China
| | - Zuzhang Wei
- d College of Animal Science and Technology , Guangxi University , Nanning , People's Republic of China
| | - Kang Ouyang
- d College of Animal Science and Technology , Guangxi University , Nanning , People's Republic of China
| | - Weijian Huang
- d College of Animal Science and Technology , Guangxi University , Nanning , People's Republic of China
| | - Viviana Simon
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA.,c Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai , New York , USA.,e Department of Medicine, Division of Infectious Diseases , Icahn School of Medicine at Mount Sinai , New York , USA
| | - Ana Fernandez-Sesma
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA.,e Department of Medicine, Division of Infectious Diseases , Icahn School of Medicine at Mount Sinai , New York , USA
| | - Florian Krammer
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA
| | - Martha I Nelson
- f Division of International Epidemiology and Population Studies, Fogarty International Center , National Institutes of Health , Bethesda , USA
| | - Ying Chen
- d College of Animal Science and Technology , Guangxi University , Nanning , People's Republic of China
| | - Adolfo García-Sastre
- b Department of Microbiology , Icahn School of Medicine at Mount Sinai , New York , USA.,c Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai , New York , USA.,e Department of Medicine, Division of Infectious Diseases , Icahn School of Medicine at Mount Sinai , New York , USA.,g The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai , New York , USA
| |
Collapse
|
16
|
Lee RTC, Chang HH, Russell CA, Lipsitch M, Maurer-Stroh S. Influenza A Hemagglutinin Passage Bias Sites and Host Specificity Mutations. Cells 2019; 8:E958. [PMID: 31443542 PMCID: PMC6770435 DOI: 10.3390/cells8090958] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 08/03/2019] [Accepted: 08/20/2019] [Indexed: 11/17/2022] Open
Abstract
Animal studies aimed at understanding influenza virus mutations that change host specificity to adapt to replication in mammalian hosts are necessarily limited in sample numbers due to high cost and safety requirements. As a safe, higher-throughput alternative, we explore the possibility of using readily available passage bias data obtained mostly from seasonal H1 and H3 influenza strains that were differentially grown in mammalian (MDCK) and avian cells (eggs). Using a statistical approach over 80,000 influenza hemagglutinin sequences with passage information, we found that passage bias sites are most commonly found in three regions: (i) the globular head domain around the receptor binding site, (ii) the region that undergoes pH-dependent structural changes and (iii) the unstructured N-terminal region harbouring the signal peptide. Passage bias sites were consistent among different passage cell types as well as between influenza A subtypes. We also find epistatic interactions of site pairs supporting the notion of host-specific dependency of mutations on virus genomic background. The sites identified from our large-scale sequence analysis substantially overlap with known host adaptation sites in the WHO H5N1 genetic changes inventory suggesting information from passage bias can provide candidate sites for host specificity changes to aid in risk assessment for emerging strains.
Collapse
Affiliation(s)
- Raphael T C Lee
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore 138671, Singapore
| | - Hsiao-Han Chang
- Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Colin A Russell
- Department of Medical Microbiology, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Marc Lipsitch
- Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, Boston, MA 02115, USA
| | - Sebastian Maurer-Stroh
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore 138671, Singapore.
- Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore.
- National Public Health Laboratory, National Centre for Infectious Diseases, Ministry of Health, Singapore 308442, Singapore.
| |
Collapse
|
17
|
Barratt R, Shaban RZ, Gilbert GL. Clinician perceptions of respiratory infection risk; a rationale for research into mask use in routine practice. Infect Dis Health 2019; 24:169-176. [PMID: 30799181 PMCID: PMC7129171 DOI: 10.1016/j.idh.2019.01.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 01/29/2019] [Accepted: 01/30/2019] [Indexed: 11/18/2022]
Abstract
Outbreaks of emerging and re-emerging infectious diseases are global threats to society. Planning for, and responses to, such events must include healthcare and other measures based on current evidence. An important area of infection prevention and control (IPC) is the optimal use of personal protective equipment (PPE) by healthcare workers (HCWs), including masks for protection against respiratory pathogens. Appropriate mask use during routine care is a forerunner to best practice in the event of an outbreak. However, little is known about the influences on decisions and behaviours of HCWs with respect to protective mask use when providing routine care. In this paper we argue that there is a need for more research to provide a better understanding of the decision-making and risk-taking behaviours of HCWs in respect of their use of masks for infectious disease prevention. Our argument is based on the ongoing threat of emerging infectious diseases; a need to strengthen workforce capability, capacity and education; the financial costs of healthcare and outbreaks; and the importance of social responsibility and supportive legislation in planning for global security. Future research should examine HCWs' practices and constructs of risk to provide new information to inform policy and pandemic planning.
Collapse
Affiliation(s)
- Ruth Barratt
- Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, NSW 2145, Australia; Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Camperdown, NSW 2050, Australia; The Westmead Clinical School, University of Sydney, NSW 2145, Australia.
| | - Ramon Z Shaban
- Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Camperdown, NSW 2050, Australia; Faculty of Medicine and Health, Susan Wakil School of Nursing and Midwifery, University of Sydney, Camperdown, NSW 2050, Australia; Directorate of Nursing, Midwifery and Clinical Governance, Western Sydney Local Health District, Westmead, NSW 2145, Australia.
| | - Gwendoline L Gilbert
- Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research, 176 Hawkesbury Rd, Westmead, NSW 2145, Australia; Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Camperdown, NSW 2050, Australia.
| |
Collapse
|
18
|
Shan X, Lai S, Liao H, Li Z, Lan Y, Yang W. The epidemic potential of avian influenza A (H7N9) virus in humans in mainland China: A two-stage risk analysis. PLoS One 2019; 14:e0215857. [PMID: 31002703 PMCID: PMC6474630 DOI: 10.1371/journal.pone.0215857] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 04/09/2019] [Indexed: 11/18/2022] Open
Abstract
Background From 2013 to 2017, more than one thousand avian influenza A (H7N9) confirmed cases with hundreds of deaths were reported in mainland China. To identify priorities for epidemic prevention and control, a risk assessing framework for subnational variations is needed to define the epidemic potential of A (H7N9). Methods We established a consolidated two-stage framework that outlined the potential epidemic of H7N9 in humans: The Stage 1, index-case potential, used a Boosted Regression Trees model to assess population at risk due to spillover from poultry; the Stage 2, epidemic potential, synthesized the variables upon a framework of the Index for Risk Management to measure epidemic potential based on the probability of hazards and exposure, the vulnerability and coping capacity. Results Provinces in southern and eastern China, especially Jiangsu, Zhejiang, Guangzhou, have high index-case potential of human infected with A (H7N9), while northern coastal provinces and municipalities with low morbidity, i.e. Tianjin and Liaoning, have an increasing risk of A (H7N9) infection. Provinces in central China are likely to have high potential of epidemic due to the high vulnerability and the lack of coping capacity. Conclusions This study provides a unified risk assessment of A (H7N9) to detect the two-stage heterogeneity of epidemic potential among different provinces in mainland China, allowing proactively evaluate health preparedness at subnational levels to improve surveillance, diagnostic capabilities, and health promotion.
Collapse
Affiliation(s)
- Xuzheng Shan
- Department of Epidemiology and Biostatistics, School of Public Health, Sichuan University, Chengdu, Sichuan, China
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Shengjie Lai
- WorldPop, School of Geography and Environment, University of Southampton, Southampton, United Kingdom
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Flowminder Foundation, Stockholm, Sweden
| | - Hongxiu Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Sichuan University, Chengdu, Sichuan, China
| | - Zhongjie Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yajia Lan
- Department of Environmental Health and Occupational Medicine, School of Public Health, Sichuan University, Chengdu, Sichuan, China
- * E-mail: (WY); (YL)
| | - Weizhong Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Sichuan University, Chengdu, Sichuan, China
- Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail: (WY); (YL)
| |
Collapse
|
19
|
Abstract
In 2010, the Centers for Disease Control and Prevention began to develop an Influenza Risk Assessment Tool (IRAT) to methodically capture and assess information relating to influenza A viruses not currently circulating among humans. The IRAT uses a multiattribute, additive model to generate a summary risk score for each virus. Although the IRAT is not intended to predict the next pandemic influenza A virus, it has provided input into prepandemic preparedness decisions.
Collapse
|
20
|
Walker E, Leclerc M, Rey JF, Beaudouin R, Soubeyrand S, Messéan A. A Spatio-Temporal Exposure-Hazard Model for Assessing Biological Risk and Impact. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2019; 39:54-70. [PMID: 29228505 DOI: 10.1111/risa.12941] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
We developed a simulation model for quantifying the spatio-temporal distribution of contaminants (e.g., xenobiotics) and assessing the risk of exposed populations at the landscape level. The model is a spatio-temporal exposure-hazard model based on (i) tools of stochastic geometry (marked polygon and point processes) for structuring the landscape and describing the exposed individuals, (ii) a dispersal kernel describing the dissemination of contaminants from polygon sources, and (iii) an (eco)toxicological equation describing the toxicokinetics and dynamics of contaminants in affected individuals. The model was implemented in the briskaR package (biological risk assessment with R) of the R software. This article presents the model background, the use of the package in an illustrative example, namely, the effect of genetically modified maize pollen on nontarget Lepidoptera, and typical comparisons of landscape configurations that can be carried out with our model (different configurations lead to different mortality rates in the treated example). In real case studies, parameters and parametric functions encountered in the model will have to be precisely specified to obtain realistic measures of risk and impact and accurate comparisons of landscape configurations. Our modeling framework could be applied to study other risks related to agriculture, for instance, pathogen spread in crops or livestock, and could be adapted to cope with other hazards such as toxic emissions from industrial areas having health effects on surrounding populations. Moreover, the R package has the potential to help risk managers in running quantitative risk assessments and testing management strategies.
Collapse
Affiliation(s)
- Emily Walker
- BioSP, INRA, Avignon, France
- EcoInnov, INRA, Thiverval-Grignon, France
| | | | | | - Rémy Beaudouin
- INERIS, Unité Modèles pour l'Ecotoxicologie et la Toxicologie (METO), Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil en Halatte, France
| | | | | |
Collapse
|
21
|
Comparative In Vitro and In Vivo Analysis of H1N1 and H1N2 Variant Influenza Viruses Isolated from Humans between 2011 and 2016. J Virol 2018; 92:JVI.01444-18. [PMID: 30158292 DOI: 10.1128/jvi.01444-18] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 08/23/2018] [Indexed: 01/08/2023] Open
Abstract
Influenza A virus pandemics are rare events caused by novel viruses which have the ability to spread in susceptible human populations. With respect to H1 subtype viruses, swine H1N1 and H1N2 viruses occasionally cross the species barrier to cause human infection. Recently isolated from humans (termed variants), swine viruses were shown to display great genetic and antigenic diversity, hence posing considerable public health risk. Here, we utilized in vitro and in vivo approaches to provide characterization of H1 subtype variant viruses isolated since the 2009 pandemic and discuss the findings in context with previously studied H1 subtype human isolates. The variant viruses were well adapted to replicate in the human respiratory cell line Calu-3 and the respiratory tracts of mice and ferrets. However, with respect to hemagglutinin (HA) activation pH, the variant viruses had fusion pH thresholds closer to that of most classical swine and triple-reassortant H1 isolates rather than viruses that had adapted to humans. Consistent with previous observations for swine isolates, the tested variant viruses were capable of efficient transmission between cohoused ferrets but could transmit via respiratory droplets to differing degrees. Overall, this investigation demonstrates that swine H1 viruses that infected humans possess adaptations required for robust replication and, in some cases, efficient respiratory droplet transmission in a mammalian model and therefore need to be closely monitored for additional molecular changes that could facilitate transmission among humans. This work highlights the need for risk assessments of emerging H1 viruses as they continue to evolve and cause human infections.IMPORTANCE Influenza A virus is a continuously evolving respiratory pathogen. Endemic in swine, H1 and H3 subtype viruses sporadically cause human infections. As each zoonotic infection represents an opportunity for human adaptation, the emergence of a transmissible influenza virus to which there is little or no preexisting immunity is an ongoing threat to public health. Recently isolated variant H1 subtype viruses were shown to display extensive genetic diversity and in many instances were antigenically distinct from seasonal vaccine strains. In this study, we provide characterization of representative H1N1v and H1N2v viruses isolated since the 2009 pandemic. Our results show that although recent variant H1 viruses possess some adaptation markers of concern, these viruses have not fully adapted to humans and require further adaptation to present a pandemic threat. This investigation highlights the need for close monitoring of emerging variant influenza viruses for molecular changes that could facilitate efficient transmission among humans.
Collapse
|
22
|
Yang H, Carney PJ, Chang JC, Guo Z, Stevens J. Structural and Molecular Characterization of the Hemagglutinin from the Fifth-Epidemic-Wave A(H7N9) Influenza Viruses. J Virol 2018; 92:e00375-18. [PMID: 29848588 PMCID: PMC6069181 DOI: 10.1128/jvi.00375-18] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 05/22/2018] [Indexed: 12/11/2022] Open
Abstract
The avian influenza A(H7N9) virus continues to cause human infections in China and is a major ongoing public health concern. Five epidemic waves of A(H7N9) infection have occurred since 2013, and the recent fifth epidemic wave saw the emergence of two distinct lineages with elevated numbers of human infection cases and broader geographic distribution of viral diseases compared to the first four epidemic waves. Moreover, highly pathogenic avian influenza (HPAI) A(H7N9) viruses were also isolated during the fifth epidemic wave. Here, we present a detailed structural and biochemical analysis of the surface hemagglutinin (HA) antigen from viruses isolated during this recent epidemic wave. Results highlight that, compared to the 2013 virus HAs, the fifth-wave virus HAs remained a weak binder to human glycan receptor analogs. We also studied three mutations, V177K-K184T-G219S, that were recently reported to switch a 2013 A(H7N9) HA to human-type receptor specificity. Our results indicate that these mutations could also switch the H7 HA receptor preference to a predominantly human binding specificity for both fifth-wave H7 HAs analyzed in this study.IMPORTANCE The A(H7N9) viruses circulating in China are of great public health concern. Here, we report a molecular and structural study of the major surface proteins from several recent A(H7N9) influenza viruses. Our results improve the understanding of these evolving viruses and provide important information on their receptor preference that is central to ongoing pandemic risk assessment.
Collapse
Affiliation(s)
- Hua Yang
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Paul J Carney
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jessie C Chang
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Zhu Guo
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - James Stevens
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| |
Collapse
|
23
|
Bourret V. Avian influenza viruses in pigs: An overview. Vet J 2018; 239:7-14. [PMID: 30197112 DOI: 10.1016/j.tvjl.2018.07.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 05/22/2018] [Accepted: 07/15/2018] [Indexed: 12/11/2022]
Abstract
This paper reviews important aspects of infection of pigs with avian influenza viruses. Wild waterfowl are the main reservoir for influenza A viruses; other species, such as pigs, can be infected, but most avian strains are imperfectly adapted to replication and transmission in such new hosts. However, some avian-to-porcine host jumps have resulted in the emergence of stable swine influenza virus lineages, with major consequences for both animal and human health. Different categories of factors are involved in these cross-species adaptations, both epidemiological (relating to host-host interactions) and virological (relating to host-virus interactions). An understanding of the adaptation of avian influenza viruses to pigs has benefited from a number of recent studies, but more research is warranted to fully appreciate the key molecular and epidemiological factors involved in this intriguing viral host jump.
Collapse
Affiliation(s)
- V Bourret
- Université de Montpellier, CEFE, Campus CNRS, 1919 route de Mende, 34293 Montpellier, France.
| |
Collapse
|
24
|
Novel triple-reassortant influenza viruses in pigs, Guangxi, China. Emerg Microbes Infect 2018; 7:85. [PMID: 29765037 PMCID: PMC5953969 DOI: 10.1038/s41426-018-0088-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 02/10/2018] [Accepted: 04/12/2018] [Indexed: 11/24/2022]
Abstract
Considered a “mixing vessel” for influenza viruses, pigs can give rise to new influenza virus reassortants that can threaten humans. During our surveillance of pigs in Guangxi, China from 2013 to 2015, we isolated 11 H1N1 and three H3N2 influenza A viruses of swine origin (IAVs-S). Out of the 14, we detected ten novel triple-reassortant viruses, which contained surface genes (hemagglutinin and neuraminidase) from Eurasian avian-like (EA) H1N1 or seasonal human-like H3N2, matrix (M) genes from H1N1/2009 pandemic or EA H1N1, nonstructural (NS) genes from classical swine, and the remaining genes from H1N1/2009 pandemic. Mouse studies indicate that these IAVs-S replicate efficiently without prior adaptation, with some isolates demonstrating lethality. Notably, the reassortant EA H1N1 viruses with EA-like M gene have been reported in human infections. Further investigations will help to assess the potential risk of these novel triple-reassortant viruses to humans.
Collapse
|
25
|
Ai H, Wu X, Qi M, Zhang L, Hu H, Zhao Q, Zhao J, Liu H. Study on the Mechanisms of Active Compounds in Traditional Chinese Medicine for the Treatment of Influenza Virus by Virtual Screening. Interdiscip Sci 2018; 10:320-328. [PMID: 29500549 DOI: 10.1007/s12539-018-0289-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Accepted: 02/23/2018] [Indexed: 12/28/2022]
Abstract
In recent years, new strains of influenza virus such as H7N9, H10N8, H5N6 and H5N8 had continued to emerge. There was an urgent need for discovery of new anti-influenza virus drugs as well as accurate and efficient large-scale inhibitor screening methods. In this study, we focused on six influenza virus proteins that could be anti-influenza drug targets, including neuraminidase (NA), hemagglutinin (HA), matrix protein 1 (M1), M2 proton channel (M2), nucleoprotein (NP) and non-structural protein 1 (NS1). Structure-based molecular docking was utilized to identify potential inhibitors for these drug targets from 13144 compounds in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. The results showed that 56 compounds could inhibit more than two drug targets simultaneously. Further, we utilized reverse docking to study the interaction of these compounds with host targets. Finally, the 22 compound inhibitors could stably bind to host targets with high binding free energy. The results showed that the Chinese herbal medicines had a multi-target effect, which could directly inhibit influenza virus by the target viral protein and indirectly inhibit virus by the human target protein. This method was of great value for large-scale virtual screening of new anti-influenza virus compounds.
Collapse
Affiliation(s)
- Haixin Ai
- Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Shenyang, Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Shenyang, 110036, China
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Xuewei Wu
- Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Shenyang, Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Shenyang, 110036, China
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Mengyuan Qi
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Li Zhang
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Huan Hu
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Qi Zhao
- School of Mathematics, Liaoning University, Shenyang, 110036, China
| | - Jian Zhao
- School of Life Science, Liaoning University, Shenyang, 110036, China
| | - Hongsheng Liu
- Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Shenyang, Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Shenyang, 110036, China.
- School of Life Science, Liaoning University, Shenyang, 110036, China.
| |
Collapse
|
26
|
Ly S, Horwood P, Chan M, Rith S, Sorn S, Oeung K, Nguon K, Chan S, Y P, Parry A, Tsuyuoka R, Ly S, Richner B, Laurent D, Vong S, Dussart P, Buchy P, Tarantola A. Seroprevalence and Transmission of Human Influenza A(H5N1) Virus before and after Virus Reassortment, Cambodia, 2006-2014. Emerg Infect Dis 2018; 23:300-303. [PMID: 28098551 PMCID: PMC5324818 DOI: 10.3201/eid2302.161232] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Thirty-five human influenza A(H5N1) cases were reported in Cambodia during 2013–2014 after emergence of a clade 1.1.2 reassortant virus. We tested 881 villagers and found 2 cases of pauci- or asymptomatic infection. Seroprevalence after emergence of the reassortant strain (0.2%) was lower than the aggregate seroprevalence of 1.3% reported in earlier studies.
Collapse
|
27
|
Song JY, Noh JY, Lee J, Woo HJ, Lee JS, Wie SH, Kim YK, Jeong HW, Kim SW, Lee SH, Park KH, Kang SH, Kee SY, Kim TH, Choo EJ, Lee HS, Choi WS, Cheong HJ, Kim WJ. Hospital-based Influenza Morbidity and Mortality (HIMM) Surveillance for A/H7N9 Influenza Virus Infection in Returning Travelers. J Korean Med Sci 2018; 33:e49. [PMID: 29359537 PMCID: PMC5785625 DOI: 10.3346/jkms.2018.33.e49] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 10/30/2017] [Indexed: 12/19/2022] Open
Abstract
Since 2013, the Hospital-based Influenza Morbidity and Mortality (HIMM) surveillance system began a H7N9 influenza surveillance scheme for returning travelers in addition to pre-existing emergency room (ER)-based influenza-like illness (ILI) surveillance and severe acute respiratory infection (SARI) surveillance. Although limited to eastern China, avian A/H7N9 influenza virus is considered to have the highest pandemic potential among currently circulating influenza viruses. During the study period between October 1st, 2013 and April 30th, 2016, 11 cases presented with ILI within seven days of travel return. These patients visited China, Hong Kong, or neighboring Southeast Asian countries, but none of them visited a livestock market. Seasonal influenza virus (54.5%, 6 among 11) was the most common cause of ILI among returning travelers, and avian A/H7N9 influenza virus was not detected during the study period.
Collapse
Affiliation(s)
- Joon Young Song
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea
| | - Jacob Lee
- Division of Infectious Diseases, Department of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Heung Jeong Woo
- Division of Infectious Diseases, Department of Internal Medicine, Hallym University Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Jin Soo Lee
- Division of Infectious Diseases, Department of Internal Medicine, Inha University School of Medicine, Incheon, Korea
| | - Seong Heon Wie
- Division of Infectious Diseases, Department of Internal Medicine, The Catholic University of Korea College of Medicine, St. Vincent's Hospital, Suwon, Korea
| | - Young Keun Kim
- Division of Infectious Diseases, Department of Internal Medicine, Yonsei University, Wonju College of Medicine, Wonju, Korea
| | - Hye Won Jeong
- Division of Infectious Diseases, Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Shin Woo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea
| | - Sun Hee Lee
- Division of Infectious Diseases, Department of Internal Medicine, Pusan National University School of Medicine, Busan, Korea
| | - Kyung Hwa Park
- Department of Infectious Diseases, Chonnam National University Medical School, Gwangju, Korea
| | - Seong Hui Kang
- Division of Infectious Diseases, Department of Internal Medicine, Konyang University Hospital, Daejeon, Korea
| | - Sae Yoon Kee
- Division of Infectious Diseases, Department of Internal Medicine, Konkuk University Chungju Hospital, Chungju, Korea
| | - Tae Hyong Kim
- Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Eun Ju Choo
- Division of Infectious Diseases, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Han Sol Lee
- BK21 Plus Graduate Program Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Won Suk Choi
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea
| | - Woo Joo Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- Asian Pacific Influenza Institute (APII), Seoul, Korea.
| |
Collapse
|
28
|
Evaluating interest in an influenza A(H5N1) vaccine among laboratory workers who work with highly-pathogenic avian influenza viruses in the United States. Vaccine 2018; 36:306-312. [PMID: 29199043 PMCID: PMC5759037 DOI: 10.1016/j.vaccine.2017.10.104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 09/20/2017] [Accepted: 10/31/2017] [Indexed: 11/23/2022]
Abstract
Highly pathogenic avian influenza viruses pose an occupational risk to laboratorians. The majority of survey respondents were interested in the Q-Pan H5N1 vaccine. Interest in vaccination varied by role in the laboratory and time spent with HPAI viruses. Q-Pan H5N1 vaccine could be used in tandem with current biosafety practices for HPAI laboratorians.
Background Highly pathogenic avian influenza A (HPAI) viruses found in poultry and wild birds occasionally infect humans and can cause serious disease. In 2014, the Advisory Committee on Immunization Practices (ACIP) reviewed data from one licensed ASO3-adjuvanted influenza A(H5N1) vaccine for consideration of use during inter-pandemic periods among persons with occupational exposure. To guide vaccine policy decisions, we conducted a survey of laboratory workers to assess demand for HPAI vaccination. Methods We designed an anonymous web survey (EpiInfo 7.0) to collect information on demographics, type of work and time spent with HPAI viruses, and interest in HPAI vaccination. Eligible participants were identified from 42 entities registered with United States Department of Agriculture’s Agricultural Select Agent program in 2016 and emailed electronic surveys. Personnel with Biosafety Level 3 enhanced (BSL-3E) laboratory access were surveyed. Descriptive analysis was performed. Results Overall, 131 responses were received from 33 principal investigators, 26 research scientists, 24 technicians, 15 postdoctoral fellows, 6 students, and 27 others. The estimated response rate was 15% among the laboratory personnel of responding principal investigators. One hundred respondents reported working in a BSL-3E area where HPAI experiments occurred with a mean time of 5.1–11.7 h per week. Overall, 49% were interested in receiving an A(H5N1) vaccine. By role, interest was highest among students (80%) and among those who spent >50% of their time in a BSL-3E area (64%). Most (61%) of those who said they might be or were not interested in vaccine believed it would not provide additional protection to current safety practices. Conclusions Half of responding laboratory workers was interested in receiving an influenza A(H5N1) vaccine. HPAI vaccination of laboratory workers at risk of occupational exposure could be used along with existing safety practices to protect this population.
Collapse
|
29
|
McKimm-Breschkin JL, Jiang S, Hui DS, Beigel JH, Govorkova EA, Lee N. Prevention and treatment of respiratory viral infections: Presentations on antivirals, traditional therapies and host-directed interventions at the 5th ISIRV Antiviral Group conference. Antiviral Res 2018; 149:118-142. [PMID: 29162476 PMCID: PMC7133686 DOI: 10.1016/j.antiviral.2017.11.013] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 11/14/2017] [Indexed: 12/17/2022]
Abstract
The International Society for Influenza and other Respiratory Virus Diseases held its 5th Antiviral Group (isirv-AVG) Conference in Shanghai, China, in conjunction with the Shanghai Public Health Center and Fudan University from 14-16 June 2017. The three-day programme encompassed presentations on some of the clinical features, management, immune responses and virology of respiratory infections, including influenza A(H1N1)pdm09 and A(H7N9) viruses, MERS-CoV, SARS-CoV, adenovirus Type 80, enterovirus D68, metapneumovirus and respiratory syncytial virus (RSV). Updates were presented on several therapeutics currently in clinical trials, including influenza polymerase inhibitors pimodivir/JNJ6362387, S033188, favipiravir, monoclonal antibodies MHAA45449A and VIS410, and host directed strategies for influenza including nitazoxanide, and polymerase ALS-008112 and fusion inhibitors AK0529, GS-5806 for RSV. Updates were also given on the use of the currently licensed neuraminidase inhibitors. Given the location in China, there were also presentations on the use of Traditional Chinese Medicines. Following on from the previous conference, there were ongoing discussions on appropriate endpoints for severe influenza in clinical trials from regulators and clinicians, an issue which remains unresolved. The aim of this conference summary is to provide information for not only conference participants, but a detailed referenced review of the current status of clinical trials, and pre-clinical development of therapeutics and vaccines for influenza and other respiratory diseases for a broader audience.
Collapse
Affiliation(s)
| | - Shibo Jiang
- College of Basic Medical Sciences, Fudan University, Shanghai, China; Lindsley F. Kimball Research Institute, New York Blood Center, NY, USA
| | - David S Hui
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - John H Beigel
- Leidos Biomedical Research, Inc., Support to National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Elena A Govorkova
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, USA
| | - Nelson Lee
- Faculty of Medicine and Dentistry, University of Alberta, Canada
| |
Collapse
|
30
|
Adam DC, Magee D, Bui CM, Scotch M, MacIntyre CR. Does influenza pandemic preparedness and mitigation require gain-of-function research? Influenza Other Respir Viruses 2017; 11:306-310. [PMID: 28502086 PMCID: PMC5485867 DOI: 10.1111/irv.12458] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/05/2017] [Indexed: 11/30/2022] Open
Abstract
The risk and benefits of gain‐of‐function studies on influenza A have been widely debated since 2012 when the methods to create two respiratory transmissible H5N1 mutant isolates were published. Opponents of gain‐of‐function studies argue the biosecurity risk is unacceptable, while proponents cite potential uses for pandemic surveillance, preparedness and mitigation. In this commentary, we provide an overview of the background and applications of gain‐of‐function research and argue that the anticipated benefits have yet to materialize while the significant risks remain.
Collapse
Affiliation(s)
- Dillon C Adam
- School of Public Health and Community Medicine, UNSW, Sydney, NSW, Australia
| | - Daniel Magee
- Biodesign Center for Environmental Security, Biodesign Institute, Arizona State University, Tempe, AZ, USA.,Department of Biomedical Informatics, College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Chau M Bui
- School of Public Health and Community Medicine, UNSW, Sydney, NSW, Australia
| | - Matthew Scotch
- School of Public Health and Community Medicine, UNSW, Sydney, NSW, Australia.,Biodesign Center for Environmental Security, Biodesign Institute, Arizona State University, Tempe, AZ, USA.,Department of Biomedical Informatics, College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - C Raina MacIntyre
- School of Public Health and Community Medicine, UNSW, Sydney, NSW, Australia.,College of Public Service & Community Solutions, Arizona State University, Tempe, AZ, USA
| |
Collapse
|
31
|
Eng CLP, Tong JC, Tan TW. Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest. Int J Mol Sci 2017; 18:E1135. [PMID: 28587080 PMCID: PMC5485959 DOI: 10.3390/ijms18061135] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 05/18/2017] [Accepted: 05/19/2017] [Indexed: 11/17/2022] Open
Abstract
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortments, giving rise to novel strains with the capability to evade the host species barrier and cause human infections. Despite progress in understanding interspecies transmission of influenza viruses, we are no closer to predicting zoonotic strains that can lead to an outbreak. We have previously discovered distinct host tropism protein signatures of avian, human and zoonotic influenza strains obtained from host tropism predictions on individual protein sequences. Here, we apply machine learning approaches on the signatures to build a computational model capable of predicting zoonotic strains. The zoonotic strain prediction model can classify avian, human or zoonotic strains with high accuracy, as well as providing an estimated zoonotic risk. This would therefore allow us to quickly determine if an influenza virus strain has the potential to be zoonotic using only protein sequences. The swift identification of potential zoonotic strains in the animal population using the zoonotic strain prediction model could provide us with an early indication of an imminent influenza outbreak.
Collapse
Affiliation(s)
- Christine L P Eng
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 117597 Singapore, Singapore.
| | - Joo Chuan Tong
- Institute of High Performance Computing, A*Star, 138632 Singapore, Singapore.
| | - Tin Wee Tan
- National Supercomputing Centre, 138632 Singapore, Singapore.
| |
Collapse
|
32
|
Barr IG. Assessing the potential pandemic risk of recent avian influenza viruses. Eur Respir J 2017; 49:49/3/1602517. [PMID: 28275178 DOI: 10.1183/13993003.02517-2016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Accepted: 12/22/2016] [Indexed: 11/05/2022]
Affiliation(s)
- Ian G Barr
- WHO Collaborating Centre for Reference and Research on Influenza, VIDRL, Doherty Institute, Melbourne, Australia .,Dept of Microbiology and Immunology, University of Melbourne, Melbourne, Australia
| |
Collapse
|
33
|
Evidence for history-dependence of influenza pandemic emergence. Sci Rep 2017; 7:43623. [PMID: 28252671 PMCID: PMC5333635 DOI: 10.1038/srep43623] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 01/26/2017] [Indexed: 12/04/2022] Open
Abstract
Influenza A viruses have caused a number of global pandemics, with considerable mortality in humans. Here, we analyse the time periods between influenza pandemics since 1700 under different assumptions to determine whether the emergence of new pandemic strains is a memoryless or history-dependent process. Bayesian model selection between exponential and gamma distributions for these time periods gives support to the hypothesis of history-dependence under eight out of nine sets of modelling assumptions. Using the fitted parameters to make predictions shows a high level of variability in the modelled number of pandemics from 2010–2110. The approach we take here relies on limited data, so is uncertain, but it provides cheap, safe and direct evidence relating to pandemic emergence, a field where indirect measurements are often made at great risk and cost.
Collapse
|
34
|
Lipsitch M, Barclay W, Raman R, Russell CJ, Belser JA, Cobey S, Kasson PM, Lloyd-Smith JO, Maurer-Stroh S, Riley S, Beauchemin CA, Bedford T, Friedrich TC, Handel A, Herfst S, Murcia PR, Roche B, Wilke CO, Russell CA. Viral factors in influenza pandemic risk assessment. eLife 2016; 5. [PMID: 27834632 PMCID: PMC5156527 DOI: 10.7554/elife.18491] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 11/03/2016] [Indexed: 12/13/2022] Open
Abstract
The threat of an influenza A virus pandemic stems from continual virus spillovers from reservoir species, a tiny fraction of which spark sustained transmission in humans. To date, no pandemic emergence of a new influenza strain has been preceded by detection of a closely related precursor in an animal or human. Nonetheless, influenza surveillance efforts are expanding, prompting a need for tools to assess the pandemic risk posed by a detected virus. The goal would be to use genetic sequence and/or biological assays of viral traits to identify those non-human influenza viruses with the greatest risk of evolving into pandemic threats, and/or to understand drivers of such evolution, to prioritize pandemic prevention or response measures. We describe such efforts, identify progress and ongoing challenges, and discuss three specific traits of influenza viruses (hemagglutinin receptor binding specificity, hemagglutinin pH of activation, and polymerase complex efficiency) that contribute to pandemic risk.
Collapse
Affiliation(s)
- Marc Lipsitch
- Center for Communicable Disease Dynamics, Harvard T. H Chan School of Public Health, Boston, United States.,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, United States.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, United States
| | - Wendy Barclay
- Division of Infectious Disease, Faculty of Medicine, Imperial College, London, United Kingdom
| | - Rahul Raman
- Department of Biological Engineering, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, United States
| | - Charles J Russell
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, United States
| | - Jessica A Belser
- Centers for Disease Control and Prevention, Atlanta, United States
| | - Sarah Cobey
- Department of Ecology and Evolutionary Biology, University of Chicago, Chicago, United States
| | - Peter M Kasson
- Department of Biomedical Engineering, University of Virginia, Charlottesville, United States.,Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, United States
| | - James O Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.,Fogarty International Center, National Institutes of Health, Bethesda, United States
| | - Sebastian Maurer-Stroh
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore, Singapore.,National Public Health Laboratory, Communicable Diseases Division, Ministry of Health, Singapore, Singapore.,School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Steven Riley
- MRC Centre for Outbreak Analysis and Modelling, School of Public Health, Imperial College London, London, United Kingdom.,Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom
| | | | - Trevor Bedford
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, United States
| | - Thomas C Friedrich
- Department of Pathobiological Sciences, University of Wisconsin School of Veterinary Medicine, Madison, United States
| | - Andreas Handel
- Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, United States
| | - Sander Herfst
- Department of Viroscience, Erasmus Medical Center, Rotterdam, Netherlands
| | - Pablo R Murcia
- MRC-University of Glasgow Centre For Virus Research, Glasgow, United Kingdom
| | | | - Claus O Wilke
- Center for Computational Biology and Bioinformatics, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, United States.,Department of Integrative Biology, The University of Texas at Austin, Austin, United States
| | - Colin A Russell
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| |
Collapse
|
35
|
Pushko P, Sun X, Tretyakova I, Hidajat R, Pulit-Penaloza JA, Belser JA, Maines TR, Tumpey TM. Mono- and quadri-subtype virus-like particles (VLPs) containing H10 subtype elicit protective immunity to H10 influenza in a ferret challenge model. Vaccine 2016; 34:5235-5242. [PMID: 27663671 DOI: 10.1016/j.vaccine.2016.09.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 09/06/2016] [Accepted: 09/09/2016] [Indexed: 10/21/2022]
Abstract
Avian-origin influenza represents a global public health concern. In 2013, the H10N8 virus caused documented human infections for the first time. Currently, there is no approved vaccine against H10 influenza. Recombinant virus-like particles (VLPs) represent a promising vaccine approach. In this study, we evaluated H10 VLPs containing hemagglutinin from H10N8 virus as an experimental vaccine in a ferret challenge model. In addition, we evaluated quadri-subtype VLPs co-localizing H5, H7, H9 and H10 subtypes. Both vaccines elicited serum antibody that reacted with the homologous H10 derived from H10N8 virus and cross-reacted with the heterologous H10N1 virus. Quadri-subtype vaccine also elicited serum antibody to the homologous H5, H7, and H9 antigens and cross-reacted with multiple clades of H5N1 virus. After heterologous challenge with the H10N1 virus, all vaccinated ferrets showed significantly reduced titers of replicating virus in the respiratory tract indicating protective effect of vaccination with either H10 VLPs or with quadri-subtype VLPs.
Collapse
Affiliation(s)
- Peter Pushko
- Medigen, Inc., 8420 Gas House Pike, Suite S, Frederick, MD 21701, USA.
| | - Xiangjie Sun
- Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Road N.E., Atlanta, GA, USA
| | - Irina Tretyakova
- Medigen, Inc., 8420 Gas House Pike, Suite S, Frederick, MD 21701, USA
| | - Rachmat Hidajat
- Medigen, Inc., 8420 Gas House Pike, Suite S, Frederick, MD 21701, USA
| | - Joanna A Pulit-Penaloza
- Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Road N.E., Atlanta, GA, USA
| | - Jessica A Belser
- Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Road N.E., Atlanta, GA, USA
| | - Taronna R Maines
- Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Road N.E., Atlanta, GA, USA
| | - Terrence M Tumpey
- Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Road N.E., Atlanta, GA, USA
| |
Collapse
|
36
|
Unmasking Stem-Specific Neutralizing Epitopes by Abolishing N-Linked Glycosylation Sites of Influenza Virus Hemagglutinin Proteins for Vaccine Design. J Virol 2016; 90:8496-508. [PMID: 27440889 DOI: 10.1128/jvi.00880-16] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Accepted: 07/06/2016] [Indexed: 12/24/2022] Open
Abstract
UNLABELLED Influenza virus hemagglutinin (HA) protein consists of two components, i.e., a globular head region and a stem region that are folded within six disulfide bonds, plus several N-linked glycans that produce a homotrimeric complex structure. While N-linked glycosylation sites on the globular head are variable among different strains and different subtypes, N-linked glycosylation sites in the stem region are mostly well conserved among various influenza virus strains. Targeting highly conserved HA stem regions has been proposed as a useful strategy for designing universal influenza vaccines. Since the HA stem region is constituted by an HA1 N-terminal part and a full HA2 part, we expressed a series of recombinant HA mutant proteins with deleted N-linked glycosylation sites in the HA1 stem and HA2 stem regions of H5N1 and pH1N1 viruses. Unmasking N-glycans in the HA2 stem region (H5 N484A and H1 N503A) was found to elicit more potent neutralizing antibody titers against homologous, heterologous, and heterosubtypic viruses. Unmasking the HA2 stem N-glycans of H5HA but not H1HA resulted in more CR6261-like and FI6v3-like antibodies and also correlated with the increase of cell fusion inhibition activity in antisera. Only H5 N484A HA2 stem mutant protein immunization increased the numbers of antibody-secreting cells, germinal center B cells, and memory B cells targeting the stem helix A epitopes in splenocytes. Unmasking the HA2 stem N-glycans of H5HA mutant proteins showed a significantly improvement in the protection against homologous virus challenges but did so to a less degree for the protection against heterosubtypic pH1N1 virus challenges. These results may provide useful information for designing more effective influenza vaccines. IMPORTANCE N-linked glycosylation sites in the stem regions of influenza virus hemagglutinin (HA) proteins are mostly well conserved among various influenza virus strains. Targeting highly conserved HA stem regions has been proposed as a useful strategy for designing universal influenza vaccines. Our studies indicate that unmasking the HA2 stem N-glycans of recombinant HA proteins from H5N1 and pH1N1 viruses induced more potent neutralizing antibody titers against homologous and heterosubtypic viruses. However, only immunization with the H5N1 HA2 stem mutant protein can refocus B antibody responses to the helix A epitope for inducing more CR6261-like/FI6v3-like and fusion inhibition antibodies in antisera, resulting in a significant improvement for the protection against lethal H5N1 virus challenges. These results may provide useful information for designing more effective influenza vaccines.
Collapse
|
37
|
Abstract
Seasonal and pandemic influenza are the two faces of respiratory infections caused by influenza viruses in humans. As seasonal influenza occurs on an annual basis, the circulating virus strains are closely monitored and a yearly updated vaccination is provided, especially to identified risk populations. Nonetheless, influenza virus infection may result in pneumonia and acute respiratory failure, frequently complicated by bacterial coinfection. Pandemics are, in contrary, unexpected rare events related to the emergence of a reassorted human-pathogenic influenza A virus (IAV) strains that often causes increased morbidity and spreads extremely rapidly in the immunologically naive human population, with huge clinical and economic impact. Accordingly, particular efforts are made to advance our knowledge on the disease biology and pathology and recent studies have brought new insights into IAV adaptation mechanisms to the human host, as well as into the key players in disease pathogenesis on the host side. Current antiviral strategies are only efficient at the early stages of the disease and are challenged by the genomic instability of the virus, highlighting the need for novel antiviral therapies targeting the pulmonary host response to improve viral clearance, reduce the risk of bacterial coinfection, and prevent or attenuate acute lung injury. This review article summarizes our current knowledge on the molecular basis of influenza infection and disease progression, the key players in pathogenesis driving severe disease and progression to lung failure, as well as available and envisioned prevention and treatment strategies against influenza virus infection.
Collapse
Affiliation(s)
- Christin Peteranderl
- Department of Internal Medicine II, University of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany
| | - Susanne Herold
- Department of Internal Medicine II, University of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany
| | - Carole Schmoldt
- Department of Internal Medicine II, University of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany
| |
Collapse
|
38
|
Abstract
Seasonal and pandemic influenza are the two faces of respiratory infections caused by influenza viruses in humans. As seasonal influenza occurs on an annual basis, the circulating virus strains are closely monitored and a yearly updated vaccination is provided, especially to identified risk populations. Nonetheless, influenza virus infection may result in pneumonia and acute respiratory failure, frequently complicated by bacterial coinfection. Pandemics are, in contrary, unexpected rare events related to the emergence of a reassorted human-pathogenic influenza A virus (IAV) strains that often causes increased morbidity and spreads extremely rapidly in the immunologically naive human population, with huge clinical and economic impact. Accordingly, particular efforts are made to advance our knowledge on the disease biology and pathology and recent studies have brought new insights into IAV adaptation mechanisms to the human host, as well as into the key players in disease pathogenesis on the host side. Current antiviral strategies are only efficient at the early stages of the disease and are challenged by the genomic instability of the virus, highlighting the need for novel antiviral therapies targeting the pulmonary host response to improve viral clearance, reduce the risk of bacterial coinfection, and prevent or attenuate acute lung injury. This review article summarizes our current knowledge on the molecular basis of influenza infection and disease progression, the key players in pathogenesis driving severe disease and progression to lung failure, as well as available and envisioned prevention and treatment strategies against influenza virus infection.
Collapse
Affiliation(s)
- Christin Peteranderl
- Department of Internal Medicine II, University of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany
| | - Susanne Herold
- Department of Internal Medicine II, University of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany
| | - Carole Schmoldt
- Department of Internal Medicine II, University of Giessen and Marburg Lung Center (UGMLC), Giessen, Germany
| |
Collapse
|
39
|
Complexities in Ferret Influenza Virus Pathogenesis and Transmission Models. Microbiol Mol Biol Rev 2016; 80:733-44. [PMID: 27412880 DOI: 10.1128/mmbr.00022-16] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Ferrets are widely employed to study the pathogenicity, transmissibility, and tropism of influenza viruses. However, inherent variations in inoculation methods, sampling schemes, and experimental designs are often overlooked when contextualizing or aggregating data between laboratories, leading to potential confusion or misinterpretation of results. Here, we provide a comprehensive overview of parameters to consider when planning an experiment using ferrets, collecting data from the experiment, and placing results in context with previously performed studies. This review offers information that is of particular importance for researchers in the field who rely on ferret data but do not perform the experiments themselves. Furthermore, this review highlights the breadth of experimental designs and techniques currently available to study influenza viruses in this model, underscoring the wide heterogeneity of protocols currently used for ferret studies while demonstrating the wealth of information which can benefit risk assessments of emerging influenza viruses.
Collapse
|
40
|
Barr IG, Wong FYK. Avian influenza. Why the concern? MICROBIOLOGY AUSTRALIA 2016. [DOI: 10.1071/ma16055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Avian influenza normally has little impact on poultry and wild birds but since 1996, highly virulent viruses have emerged and continue to circulate in many countries. The results of these viruses have been devastating in domestic poultry and they have also spilled over into humans, infecting and killing hundreds and raising the opportunities for the virus to further adapt and possibly cause a future influenza pandemic. This article briefly details these events and discusses the consequences of these viruses continuing to circulate and cause disease.
Collapse
|
41
|
Prevalence, genetics, and transmissibility in ferrets of Eurasian avian-like H1N1 swine influenza viruses. Proc Natl Acad Sci U S A 2015; 113:392-7. [PMID: 26711995 DOI: 10.1073/pnas.1522643113] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Pigs are important intermediate hosts for generating novel influenza viruses. The Eurasian avian-like H1N1 (EAH1N1) swine influenza viruses (SIVs) have circulated in pigs since 1979, and human cases associated with EAH1N1 SIVs have been reported in several countries. However, the biologic properties of EAH1N1 SIVs are largely unknown. Here, we performed extensive influenza surveillance in pigs in China and isolated 228 influenza viruses from 36,417 pigs. We found that 139 of the 228 strains from pigs in 10 provinces in China belong to the EAH1N1 lineage. These viruses formed five genotypes, with two distinct antigenic groups, represented by A/swine/Guangxi/18/2011 and A/swine/Guangdong/104/2013, both of which are antigenically and genetically distinct from the current human H1N1 viruses. Importantly, the EAH1N1 SIVs preferentially bound to human-type receptors, and 9 of the 10 tested viruses transmitted in ferrets by respiratory droplet. We found that 3.6% of children (≤10 y old), 0% of adults, and 13.4% of elderly adults (≥60 y old) had neutralization antibodies (titers ≥40 in children and ≥80 in adults) against the EAH1N1 A/swine/Guangxi/18/2011 virus, but none of them had such neutralization antibodies against the EAH1N1 A/swine/Guangdong/104/2013 virus. Our study shows the potential of EAH1N1 SIVs to transmit efficiently in humans and suggests that immediate action is needed to prevent the efficient transmission of EAH1N1 SIVs to humans.
Collapse
|