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Guan M, DeLiberto TJ, Feng A, Zhang J, Li T, Wang S, Li L, Killian ML, Praena B, Giri E, Deliberto ST, Hang J, Olivier A, Torchetti MK, Tao YJ, Parrish C, Wan XF. Neu5Gc binding loss of subtype H7 influenza A virus facilitates adaptation to gallinaceous poultry following transmission from waterbirds. J Virol 2024; 98:e0011924. [PMID: 39225467 PMCID: PMC11494897 DOI: 10.1128/jvi.00119-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 07/10/2024] [Indexed: 09/04/2024] Open
Abstract
Between 2013 and 2018, the novel A/Anhui/1/2013 (AH/13)-lineage H7N9 virus caused at least five waves of outbreaks in humans, totaling 1,567 confirmed human cases in China. Surveillance data indicated a disproportionate distribution of poultry infected with this AH/13-lineage virus, and laboratory experiments demonstrated that this virus can efficiently spread among chickens but not among Pekin ducks. The underlying mechanism of this selective transmission remains unclear. In this study, we demonstrated the absence of Neu5Gc expression in chickens across all respiratory and gastrointestinal tissues. However, Neu5Gc expression varied among different duck species and even within the tissues of the same species. The AH/13-lineage viruses exclusively bind to acetylneuraminic acid (Neu5Ac), in contrast to wild waterbird H7 viruses that bind both Neu5Ac and N-glycolylneuraminic acid (Neu5Gc). The level of Neu5Gc expression influences H7 virus replication and facilitates adaptive mutations in these viruses. In summary, our findings highlight the critical role of Neu5Gc in affecting the host range and interspecies transmission dynamics of H7 viruses among avian species.IMPORTANCEMigratory waterfowl, gulls, and shorebirds are natural reservoirs for influenza A viruses (IAVs) that can occasionally spill over to domestic poultry, and ultimately humans. This study showed wild-type H7 IAVs from waterbirds initially bind to glycan receptors terminated with N-acetylneuraminic acid (Neu5Ac) or N-glycolylneuraminic acid (Neu5Gc). However, after enzootic transmission in chickens, the viruses exclusively bind to Neu5Ac. The absence of Neu5Gc expression in gallinaceous poultry, particularly chickens, exerts selective pressure, shaping IAV populations, and promoting the acquisition of adaptive amino acid substitutions in the hemagglutinin protein. This results in the loss of Neu5Gc binding and an increase in virus transmissibility in gallinaceous poultry, particularly chickens. Consequently, the transmission capability of these poultry-adapted H7 IAVs in wild water birds decreases. Timely intervention, such as stamping out, may help reduce virus adaptation to domestic chicken populations and lower the risk of enzootic outbreaks, including those caused by IAVs exhibiting high pathogenicity.
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Affiliation(s)
- Minhui Guan
- Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, Missouri, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Thomas J. DeLiberto
- US Department of Agriculture Animal and Plant Health Inspection Service, Fort Collins, Colorado, USA
| | - Aijing Feng
- Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, Missouri, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Jieze Zhang
- Department of Bioengineering, Rice University, Houston, Texas, USA
| | - Tao Li
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Shuaishuai Wang
- Department of Chemistry and Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, Georgia, USA
| | - Lei Li
- Department of Chemistry and Center for Diagnostics and Therapeutics, Georgia State University, Atlanta, Georgia, USA
| | - Mary Lea Killian
- National Veterinary Services Laboratories, Veterinary Services, U.S. Department of Agriculture, Ames, Iowa, USA
| | - Beatriz Praena
- Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, Missouri, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Emily Giri
- Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, Missouri, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Shelagh T. Deliberto
- US Department of Agriculture Animal and Plant Health Inspection Service, Fort Collins, Colorado, USA
| | - Jun Hang
- Viral Diseases Branch, Walter Reed Army Institute of Research, Silver Spring, Maryland, USA
| | - Alicia Olivier
- Department of Pathobiology and Population Medicine, College of Veterinary Medicine, Mississippi State University, Mississippi State, Mississippi, USA
| | - Mia Kim Torchetti
- National Veterinary Services Laboratories, Veterinary Services, U.S. Department of Agriculture, Ames, Iowa, USA
| | - Yizhi Jane Tao
- Department of BioSciences, Rice University, Houston, Texas, USA
| | - Colin Parrish
- Department of Microbiology and Immunology, College of Veterinary Medicine, Baker Institute for Animal Health, Cornell University, Ithaca, New York, USA
| | - Xiu-Feng Wan
- Center for Influenza and Emerging Infectious Diseases (CIEID), University of Missouri, Columbia, Missouri, USA
- Department of Molecular Microbiology and Immunology, School of Medicine, University of Missouri, Columbia, Missouri, USA
- Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Electrical Engineering and Computer Science, College of Engineering, University of Missouri, Columbia, Missouri, USA
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2
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Galindo-González J. Avoiding novel, unwanted interactions among species to decrease risk of zoonoses. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14232. [PMID: 38111356 DOI: 10.1111/cobi.14232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 10/15/2023] [Accepted: 10/16/2023] [Indexed: 12/20/2023]
Abstract
Circumstances that precipitate interactions among species that have never interacted during their evolutionary histories create ideal conditions for the generation of zoonoses. Zoonotic diseases have caused some of the most devastating epidemics in human history. Contact among species that come from different ecosystems or regions creates the risk of zoonoses. In certain situations, humans are generating and promoting conditions that contribute to the creation of infectious diseases and zoonoses. These conditions lead to interactions between wildlife species that have hitherto not interacted under normal circumstances. I call for recognition of the zoonotic potential that novel and unwanted interactions have; identification of these new interactions that are occurring among wild animals, domestic animals, and humans; and efforts to stop these kinds of interactions because they can give rise to zoonotic outbreaks. Live animal markets, the exotic pet trade, illegal wildlife trade, human use and consumption of wild animals, invasive non-native species, releasing of exotic pets, and human encroachment in natural areas are among the activities that cause the most interactions among wild species, domestic species, and humans. These activities should not occur and must be controlled efficiently to prevent future epidemic zoonoses. Society must develop a keen ability to identify these unnatural interactions and prevent them. Controlling these interactions and efficiently addressing their causal factors will benefit human health and, in some cases, lead to positive environmental, ethical, and socioeconomic outcomes. Until these actions are taken, humanity will face future zoonoses and zoonotic pandemic.
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Affiliation(s)
- Jorge Galindo-González
- Instituto de Biotecnología y Ecología Aplicada (INBIOTECA), Universidad Veracruzana, Xalapa, México
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3
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Galindo-González J. Live animal markets: Identifying the origins of emerging infectious diseases. CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH 2022; 25:100310. [PMID: 34931177 PMCID: PMC8674032 DOI: 10.1016/j.coesh.2021.100310] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Emerging infectious diseases (EIDs) of zoonotic origin appear, affect a population and can spread rapidly. At the beginning of 2020, the World Health Organization pronounced an emergency public health advisory because of the SARS-CoV-2 coronavirus outbreak, and declared that COVID-19 had reached the level of a pandemic, rapidly spreading around the world. In order to identify one of the origins of EIDs, and propose some control alternatives, an extensive review was conducted of the available literature. The problem can originate in live animal markets, where animal species of all kinds, from different origins, ecosystems, and taxonomic groups are caged and crowded together, sharing the same unsanitary and unnatural space, food, water, and also the ecto- and endoparasitic vectors of disease. They defecate on each other, leading to the exchange of pathogenic and parasitic microorganisms, forcing interactions among species that should never happen. This is the ideal scenario for causing zoonoses and outbreaks of EIDs. We must start by stopping the illegal collection and sale of wild animals in markets. The destruction of ecosystems and forests also promote zoonoses and outbreaks of EIDs. Science and knowledge should be the basis of the decisions and policies for the development of management strategies. Wildlife belongs in its natural habitat, which must be defended, conserved, and restored at all costs.
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Affiliation(s)
- Jorge Galindo-González
- Instituto de Biotecnología y Ecología Aplicada (INBIOTECA), Universidad Veracruzana, Av. Culturas Veracruzanas # 101, Zona Universitaria C.P. 91090, Xalapa, Ver., Mexico
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4
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He D, Gu M, Wang X, Wang X, Li G, Yan Y, Gu J, Zhan T, Wu H, Hao X, Wang G, Hu J, Hu S, Liu X, Su S, Ding C, Liu X. Spatiotemporal Associations and Molecular Evolution of Highly Pathogenic Avian Influenza A H7N9 Virus in China from 2017 to 2021. Viruses 2021; 13:2524. [PMID: 34960793 PMCID: PMC8705967 DOI: 10.3390/v13122524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 12/20/2022] Open
Abstract
Highly pathogenic (HP) H7N9 avian influenza virus (AIV) emerged in China in 2016. HP H7N9 AIV caused at least 33 human infections and has been circulating in poultry farms continuously since wave 5. The genetic divergence, geographic patterns, and hemagglutinin adaptive and parallel molecular evolution of HP H7N9 AIV in China since 2017 are still unclear. Here, 10 new strains of HP H7N9 AIVs from October 2019 to April 2021 were sequenced. We found that HP H7N9 was primarily circulating in Northern China, particularly in the provinces surrounding the Bohai Sea (Liaoning, Hebei, and Shandong) since wave 6. Of note, HP H7N9 AIV phylogenies exhibit a geographical structure compatible with high levels of local transmission after unidirectional rapid geographical expansion towards the north of China in 2017. In addition, we showed that two major subclades were continually expanding with the viral population size undergoing a sharp increase after 2018 with an obvious seasonal tendency. Notably, the hemagglutinin gene showed signs of parallel evolution and positive selection. Our research sheds light on the current epidemiology, evolution, and diversity of HP H7N9 AIV that can help prevent and control the spreading of HP H7N9 AIV.
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Affiliation(s)
- Dongchang He
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Min Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Xiyue Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Gairu Li
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Yayao Yan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Jinyuan Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Tiansong Zhan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Huiguang Wu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Xiaoli Hao
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Guoqing Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
| | - Jiao Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Shunlin Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Shuo Su
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Chan Ding
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
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Reassortant Highly Pathogenic H5N6 Avian Influenza Virus Containing Low Pathogenic Viral Genes in a Local Live Poultry Market, Vietnam. Curr Microbiol 2021; 78:3835-3842. [PMID: 34546415 PMCID: PMC8486720 DOI: 10.1007/s00284-021-02661-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 09/08/2021] [Indexed: 11/25/2022]
Abstract
Sites of live poultry trade and marketing are hot spots for avian influenza virus (AIV) transmission. We conducted active surveillance at a local live poultry market (LPM) in northern Vietnamese provinces in December 2016. Feces samples from the market were collected and tested for AIV. A new reassorted AIV strain was isolated from female chickens, named A/chicken/Vietnam/AI-1606/2016 (H5N6), and was found to belong to group C of clade 2.3.4.4 H5N6 highly pathogenic (HP) AIVs. The neuraminidase gene belongs to the reassortant B type. The viral genome also contained polymerase basic 2 and polymerase acidic, which were most closely related to domestic-duck-origin low pathogenic AIVs in Japan (H3N8) and Mongolia (H4N6). The other six genes were most closely related to poultry-origin H5N6 HP AIVs in Vietnam and had over 97% sequence identity with human AIV isolate A/Guangzhou/39715/2014 (H5N6). The new reassorted AIV isolate A/chicken/Vietnam/AI-1606/2016 (H5N6) identified in this study exemplifies AIVs reassortment and evolution through contact among wild birds, poultry farms, and LPMs. Therefore, active surveillance of AIVs is necessary to prevent potential threats to human and animal health.
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Guinat C, Tago D, Corre T, Selinger C, Djidjou-Demasse R, Paul M, Raboisson D, Nguyen Thi Thanh T, Inui K, Pham Thanh L, Padungtod P, Vergne T. Optimizing the early detection of low pathogenic avian influenza H7N9 virus in live bird markets. J R Soc Interface 2021; 18:20210074. [PMID: 33947269 PMCID: PMC8097223 DOI: 10.1098/rsif.2021.0074] [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] [Indexed: 11/12/2022] Open
Abstract
In Southeast Asia, surveillance at live bird markets (LBMs) has been identified as crucial for detecting avian influenza viruses (AIV) and reducing the risk of human infections. However, the design of effective surveillance systems in LBMs remains complex given the rapid turn-over of poultry. We developed a deterministic transmission model to provide guidance for optimizing AIV surveillance efforts. The model was calibrated to fit one of the largest LBMs in northern Vietnam at high risk of low pathogenic H7N9 virus introduction from China to identify the surveillance strategy that optimizes H7N9 detection. Results show that (i) using a portable diagnostic device would slightly reduce the number of infected birds leaving the LBM before the first detection, as compared to a laboratory-based diagnostic strategy, (ii) H7N9 detection could become more timely by sampling birds staying overnight, just before new susceptible birds are introduced at the beginning of a working day, and (iii) banning birds staying overnight would represent an effective intervention to reduce the risk of H7N9 spread but would decrease the likelihood of virus detection if introduced. These strategies should receive high priority in Vietnam and other Asian countries at risk of H7N9 introduction.
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Affiliation(s)
- Claire Guinat
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | | | | | | | - Mathilde Paul
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | | | - Ken Inui
- FAO, Department of Animal Health (DAH), Ministry of Agriculture and Rural Development (MARD), Hanoi, Vietnam
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7
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Aspergillosis, Avian Species and the One Health Perspective: The Possible Importance of Birds in Azole Resistance. Microorganisms 2020; 8:microorganisms8122037. [PMID: 33352774 PMCID: PMC7767009 DOI: 10.3390/microorganisms8122037] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 12/11/2020] [Accepted: 12/17/2020] [Indexed: 12/30/2022] Open
Abstract
The One Health context considers health based on three pillars: humans, animals, and environment. This approach is a strong ally in the surveillance of infectious diseases and in the development of prevention strategies. Aspergillus spp. are fungi that fit substantially in this context, in view of their ubiquity, as well as their importance as plant pathogens, and potentially fatal pathogens for, particularly, humans and avian species. In addition, the emergence of azole resistance, mainly in Aspergillus fumigatus sensu stricto, and the proven role of fungicides widely used on crops, reinforces the need for a multidisciplinary approach to this problem. Avian species are involved in short and long distance travel between different types of landscapes, such as agricultural fields, natural environments and urban environments. Thus, birds can play an important role in the dispersion of Aspergillus, and of special concern, azole-resistant strains. In addition, some bird species are particularly susceptible to aspergillosis. Therefore, avian aspergillosis could be considered as an environmental health indicator. In this review, aspergillosis in humans and birds will be discussed, with focus on the presence of Aspergillus in the environment. We will relate these issues with the emergence of azole resistance on Aspergillus. These topics will be therefore considered and reviewed from the “One Health” perspective.
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8
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Nirmala J, Bender JB, Lynfield R, Yang M, Rene Culhane M, Nelson MI, Sreevatsan S, Torremorell M. Genetic diversity of influenza A viruses circulating in pigs between winter and summer in a Minnesota live animal market. Zoonoses Public Health 2019; 67:243-250. [PMID: 31868300 DOI: 10.1111/zph.12679] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 10/07/2019] [Accepted: 11/19/2019] [Indexed: 11/26/2022]
Abstract
There has been little surveillance of influenza A viruses (IAVs) circulating in swine at live animal markets, particularly in the United States. To address this gap, we conducted active surveillance of IAVs in pigs, the air, and the environment during a summer and winter season in a live animal market in St. Paul, Minnesota, that had been epidemiologically associated with swine-origin influenza cases in humans previously. High rates of IAV were detected by PCR in swine lungs and oral fluids during both summer and winter seasons. Rates of IAV detection by PCR in the air were similar during summer and winter, although rates of successful virus isolation in the air were lower during summer than in winter (26% and 67%, respectively). H3N2 was the most prevalent subtype in both seasons, followed by H1N2. Genetically diverse viruses with multiple gene constellations were isolated from both winter and summer, with a total of 19 distinct genotypes identified. Comparative phylogenetic analysis of all eight segments of 40 virus isolates from summer and 122 isolates from winter revealed that the summer and winter isolates were genetically distinct, indicating IAVs are not maintained in the market, but rather are re-introduced, likely from commercial swine. These findings highlight the extent of IAV genetic diversity circulating in swine in live animal markets, even during summer months, and the ongoing risk to humans.
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Affiliation(s)
- Jayaveeramuthu Nirmala
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Jeff B Bender
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.,School of Public Health, Environmental Health Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Ruth Lynfield
- Minnesota State Health Department, St. Paul, MN, USA
| | - My Yang
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Marie Rene Culhane
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Martha Irene Nelson
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - Srinand Sreevatsan
- Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
| | - Montserrat Torremorell
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
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9
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Naguib MM, Verhagen JH, Mostafa A, Wille M, Li R, Graaf A, Järhult JD, Ellström P, Zohari S, Lundkvist Å, Olsen B. Global patterns of avian influenza A (H7): virus evolution and zoonotic threats. FEMS Microbiol Rev 2019; 43:608-621. [PMID: 31381759 PMCID: PMC8038931 DOI: 10.1093/femsre/fuz019] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Accepted: 07/31/2019] [Indexed: 01/16/2023] Open
Abstract
Avian influenza viruses (AIVs) continue to impose a negative impact on animal and human health worldwide. In particular, the emergence of highly pathogenic AIV H5 and, more recently, the emergence of low pathogenic AIV H7N9 have led to enormous socioeconomical losses in the poultry industry and resulted in fatal human infections. While H5N1 remains infamous, the number of zoonotic infections with H7N9 has far surpassed those attributed to H5. Despite the clear public health concerns posed by AIV H7, it is unclear why specifically this virus subtype became endemic in poultry and emerged in humans. In this review, we bring together data on global patterns of H7 circulation, evolution and emergence in humans. Specifically, we discuss data from the wild bird reservoir, expansion and epidemiology in poultry, significant increase in their zoonotic potential since 2013 and genesis of highly pathogenic H7. In addition, we analysed available sequence data from an evolutionary perspective, demonstrating patterns of introductions into distinct geographic regions and reassortment dynamics. The integration of all aspects is crucial in the optimisation of surveillance efforts in wild birds, poultry and humans, and we emphasise the need for a One Health approach in controlling emerging viruses such as AIV H7.
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Affiliation(s)
- Mahmoud M Naguib
- Zoonosis Science Center, Department of Medical Biochemistry and Microbiology, Husargatan 3, Uppsala University, Uppsala SE-75237, Sweden
- National Laboratory for Veterinary Quality Control on Poultry Production, Animal Health Research Institute, 7 Nadi El-Seid Street, Giza 12618, Egypt
| | - Josanne H Verhagen
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, 44008 Hus Vita, Kalmar SE-391 82 , Sweden
| | - Ahmed Mostafa
- Institute of Medical Virology, Justus Liebig University Giessen, Schubertstrasse 81, Giessen 35392, Germany
- Center of Scientific Excellence for Influenza Viruses, National Research Centre (NRC), 33 El-Buhouth street, Giza 12622, Egypt
| | - Michelle Wille
- WHO Collaborating Centre for Reference and Research on Influenza, The Peter Doherty Institute for Infection and Immunity, 792 Elizabeth Street, Melbourne 3000, Victoria, Australia
| | - Ruiyun Li
- MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, Praed Street, London W2 1PG, United Kingdom
| | - Annika Graaf
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Südufer 10, Greifswald-Insel Riems 17493, Germany
| | - Josef D Järhult
- Zoonosis Science Center, Department of Medical Sciences, Uppsala University, Sjukhusvägen 85, Uppsala SE-75185, Sweden
| | - Patrik Ellström
- Zoonosis Science Center, Department of Medical Sciences, Uppsala University, Sjukhusvägen 85, Uppsala SE-75185, Sweden
| | - Siamak Zohari
- Department of Microbiology, National Veterinary Institute, Ulls väg 2B, Uppsala SE-75189, Sweden
| | - Åke Lundkvist
- Zoonosis Science Center, Department of Medical Biochemistry and Microbiology, Husargatan 3, Uppsala University, Uppsala SE-75237, Sweden
| | - Björn Olsen
- Zoonosis Science Center, Department of Medical Sciences, Uppsala University, Sjukhusvägen 85, Uppsala SE-75185, Sweden
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Li Y, Wang Y, Shen C, Huang J, Kang J, Huang B, Guo F, Edwards J. Closure of live bird markets leads to the spread of H7N9 influenza in China. PLoS One 2018; 13:e0208884. [PMID: 30540847 PMCID: PMC6291110 DOI: 10.1371/journal.pone.0208884] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 11/27/2018] [Indexed: 11/21/2022] Open
Abstract
Following the emergence of H7N9 influenza in March 2013, local animal and public health authorities in China have been closing live bird markets as a measure to try to control the H7N9 influenza epidemic. The role of live bird market (LBM) closure on the spread of N7N9 influenza following the closure of LBMs during March to May 2013 (the first wave) and October 2013 to March 2014 (the second wave) is described in this paper. Different provinces implemented closure actions at different times, and intensive media reports on H7N9 in different provinces started at different times. Local broiler prices dropped dramatically in places with outbreaks and more live chickens were transported to other LBMs in neighboring areas without human cases from infected areas when live bird markets were being closed. There were six clusters of human infection from March to May 2013 and October 2013 to March 2014 and there may have been intensive poultry transportation among cluster areas. These findings provide evidence that the closure of LBMs in early waves of H7N9 influenza had resulted in expansion of H7N9 infection to uninfected areas. This suggests that provincial authorities in inland provinces should be alert to the risks of sudden changes in movement patterns for live birds after LBM closure or increased publicity about LBM closure.
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Affiliation(s)
- Yin Li
- Epidemiological Survey Division, China Animal Health and Epidemiology Center, Qingdao, Shandong, China
- Murdoch University Murdoch, Perth, Australia
| | - Youming Wang
- Epidemiological Survey Division, China Animal Health and Epidemiology Center, Qingdao, Shandong, China
| | - Chaojian Shen
- Epidemiological Survey Division, China Animal Health and Epidemiology Center, Qingdao, Shandong, China
| | - Jianlong Huang
- Hunan Provincial Center for Animal Diseases Control, Changsha, China
| | - Jingli Kang
- Epidemiological Survey Division, China Animal Health and Epidemiology Center, Qingdao, Shandong, China
| | - Baoxu Huang
- Epidemiological Survey Division, China Animal Health and Epidemiology Center, Qingdao, Shandong, China
| | | | - John Edwards
- Epidemiological Survey Division, China Animal Health and Epidemiology Center, Qingdao, Shandong, China
- Murdoch University Murdoch, Perth, Australia
- * E-mail:
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11
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Qiu W, Chu C, Mao A, Wu J. Studying Communication Problems for Emergency Management of SARS and H7N9 in China. J Glob Infect Dis 2018; 10:177-181. [PMID: 30581257 PMCID: PMC6276313 DOI: 10.4103/jgid.jgid_168_17] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Severe Acute Respiratory Syndrome (SARS) and Influenza A virus Subtype H7N9 (H7N9) have both had a great impact on China in the 21st century, causing significant negative impacts on health, the economy, and even global security. The control efforts for SARS were heavily criticized, the H7N9 response, 10 years later was acknowledged to be much better. AIMS This article explores communication for emergency management of SARS in 2003 and H7N9 in 2013 in China, to provide useful evidence for government and practitioner on management improvement for infectious disease outbreaks response in China and international community in the future. METHODS This study uses a qualitative case study approach, including in-depth interviews, literature review, and document, to analysis the emergency management of SARS in 2003 and H7N9 in 2013 in China, identified the problems of communication with the emergency management process for SARS and H7N9. RESULTS The control efforts for SARS were slow to be mobilized and were heavily criticized and generally considered to be suboptimal, as the poor handling of SARS exposed serious communication problems in the then emergency management system processes. The H7N9 response, 10 years later, was acknowledged to be much better. CONCLUSION Communication is very important in the prevention and control of infectious diseases. From SARS to H7N9, the progress had been made in information disclosure.
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Affiliation(s)
- Wuqi Qiu
- Department of Public Health Information Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Brisbane, Queensland, Australia
| | - Cordia Chu
- Centre for Environment and Population Health, Griffith University, Brisbane, Queensland, Australia
| | - Ayan Mao
- Department of Public Health Information Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Brisbane, Queensland, Australia
| | - Jing Wu
- Chinese Centre for Health Education, Beijing, China
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12
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The Study of Viral RNA Diversity in Bird Samples Using De Novo Designed Multiplex Genus-Specific Primer Panels. Adv Virol 2018; 2018:3248285. [PMID: 30158979 PMCID: PMC6109506 DOI: 10.1155/2018/3248285] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Revised: 07/04/2018] [Accepted: 07/24/2018] [Indexed: 12/04/2022] Open
Abstract
Advances in the next generation sequencing (NGS) technologies have significantly increased our ability to detect new viral pathogens and systematically determine the spectrum of viruses prevalent in various biological samples. In addition, this approach has also helped in establishing the associations of viromes with many diseases. However, unlike the metagenomic studies using 16S rRNA for the detection of bacteria, it is impossible to create universal oligonucleotides to target all known and novel viruses, owing to their genomic diversity and variability. On the other hand, sequencing the entire genome is still expensive and has relatively low sensitivity for such applications. The existing approaches for the design of oligonucleotides for targeted enrichment are usually involved in the development of primers for the PCR-based detection of particular viral species or genera, but not for families or higher taxonomic orders. In this study, we have developed a computational pipeline for designing the oligonucleotides capable of covering a significant number of known viruses within various taxonomic orders, as well as their novel variants. We have subsequently designed a genus-specific oligonucleotide panel for targeted enrichment of viral nucleic acids in biological material and demonstrated the possibility of its application for virus detection in bird samples. We have tested our panel using a number of collected samples and have observed superior efficiency in the detection and identification of viral pathogens. Since a reliable, bioinformatics-based analytical method for the rapid identification of the sequences was crucial, an NGS-based data analysis module was developed in this study, and its functionality in the detection of novel viruses and analysis of virome diversity was demonstrated.
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13
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The temporal distribution of new H7N9 avian influenza infections based on laboratory-confirmed cases in Mainland China, 2013-2017. Sci Rep 2018; 8:4051. [PMID: 29511257 PMCID: PMC5840377 DOI: 10.1038/s41598-018-22410-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 02/22/2018] [Indexed: 12/12/2022] Open
Abstract
In this study, estimates of the growth rate of new infections, based on the growth rate of new laboratory-confirmed cases, were used to provide a statistical basis for in-depth research into the epidemiological patterns of H7N9 epidemics. The incubation period, interval from onset to laboratory confirmation, and confirmation time for all laboratory-confirmed cases of H7N9 avian influenza in Mainland China, occurring between January 2013 and June 2017, were used as the statistical data. Stochastic processes theory and maximum likelihood were used to calculate the growth rate of new infections. Time-series analysis was then performed to assess correlations between the time series of new infections and new laboratory-confirmed cases. The rate of new infections showed significant seasonal fluctuation. Laboratory confirmation was delayed by a period of time longer than that of the infection (average delay, 13 days; standard deviation, 6.8 days). At the lags of −7.5 and −15 days, respectively, the time-series of new infections and new confirmed cases were significantly correlated; the cross correlation coefficients (CCFs) were 0.61 and 0.16, respectively. The temporal distribution characteristics of new infections and new laboratory-confirmed cases were similar and strongly correlated.
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14
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Chen L, Wang C, Luo J, Su W, Li M, Zhao N, Lyu W, Attaran H, He Y, Ding H, He H. Histone Deacetylase 1 Plays an Acetylation-Independent Role in Influenza A Virus Replication. Front Immunol 2017; 8:1757. [PMID: 29312300 PMCID: PMC5733105 DOI: 10.3389/fimmu.2017.01757] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 11/27/2017] [Indexed: 12/21/2022] Open
Abstract
Influenza A viruses (IAVs) take advantage of the host acetylation system for their own benefit. Whether the nucleoprotein (NP) of IAVs undergoes acetylation and the interaction between the NP and the class I histone deacetylases (HDACs) were largely unknown. Here, we showed that the NP protein of IAV interacted with HDAC1, which downregulated the acetylation level of NP. Using mass spectrometry, we identified lysine 103 as an acetylation site of the NP. Compared with wild-type protein, two K103 NP mutants, K103A and K103R, enhanced replication efficiency of the recombinant viruses in vitro. We further demonstrated that HDAC1 facilitated viral replication via two paths: promoting the nuclear retention of NP and inhibiting TBK1-IRF3 pathway. Our results lead to a new mechanism for regulating NP acetylation, indicating that HDAC1 may be a possible target for antiviral drugs.
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Affiliation(s)
- Lin Chen
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Chengmin Wang
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jing Luo
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Wen Su
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Meng Li
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Na Zhao
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Wenting Lyu
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.,University of the Chinese Academy of Sciences, Beijing, China
| | - Hamidreza Attaran
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yapeng He
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hua Ding
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Hongxuan He
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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15
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Moulick A, Richtera L, Milosavljevic V, Cernei N, Haddad Y, Zitka O, Kopel P, Heger Z, Adam V. Advanced nanotechnologies in avian influenza: Current status and future trends - A review. Anal Chim Acta 2017; 983:42-53. [PMID: 28811028 PMCID: PMC7094654 DOI: 10.1016/j.aca.2017.06.045] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 06/24/2017] [Accepted: 06/26/2017] [Indexed: 02/04/2023]
Abstract
In the last decade, the control of avian influenza virus has experienced many difficulties, which have caused major global agricultural problems that have also led to public health consequences. Conventional biochemical methods are not sufficient to detect and control agricultural pathogens in the field due to the growing demand for food and subsidiary products; thus, studies aiming to develop potent alternatives to conventional biochemical methods are urgently needed. In this review, emerging detection systems, their applicability to diagnostics, and their therapeutic possibilities in view of nanotechnology are discussed. Nanotechnology-based sensors are used for rapid, sensitive and cost-effective diagnostics of agricultural pathogens. The application of different nanomaterials promotes interactions between these materials and the virus, which enables researchers to construct portable electroanalytical biosensing analyser that should effectively detect the influenza virus. The present review will provide insights into the guidelines for future experiments to develop better techniques to detect and control influenza viruses.
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Affiliation(s)
- Amitava Moulick
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Lukas Richtera
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Vedran Milosavljevic
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Natalia Cernei
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Yazan Haddad
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Ondrej Zitka
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Pavel Kopel
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Zbynek Heger
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic.
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16
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Su S, Gu M, Liu D, Cui J, Gao GF, Zhou J, Liu X. Epidemiology, Evolution, and Pathogenesis of H7N9 Influenza Viruses in Five Epidemic Waves since 2013 in China. Trends Microbiol 2017; 25:713-728. [PMID: 28734617 DOI: 10.1016/j.tim.2017.06.008] [Citation(s) in RCA: 177] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 06/16/2017] [Accepted: 06/19/2017] [Indexed: 01/30/2023]
Abstract
H7N9 influenza viruses were first isolated in 2013 and continue to cause human infections. H7N9 infections represent an ongoing public health threat that has resulted in 1344 cases with 511 deaths as of April 9, 2017. This highlights the continued threat posed by the current poultry trade and live poultry market system in China. Until now, there have been five H7N9 influenza epidemic waves in China; however, the steep increase in the number of humans infected with H7N9 viruses observed in the fifth wave, beginning in October 2016, the spread into western provinces, and the emergence of highly pathogenic (HP) H7N9 influenza outbreaks in chickens and infection in humans have caused domestic and international concern. In this review, we summarize and compare the different waves of H7N9 regarding their epidemiology, pathogenesis, evolution, and characteristic features, and speculate on factors behind the recent increase in the number of human cases and sudden outbreaks in chickens. The continuous evolution of the virus poses a long-term threat to public health and the poultry industry, and thus it is imperative to strengthen prevention and control strategies.
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Affiliation(s)
- Shuo Su
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Min Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Di Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Jie Cui
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China
| | - George F Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China; National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China
| | - Jiyong Zhou
- Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; Key Laboratory of Animal Virology of Ministry of Agriculture, Zhejiang University, Hangzhou 310058, China; Collaborative Innovation Center and State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University, Hangzhou 310003, China.
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, Jiangsu, 225009, China; Jiangsu Research Centre of Engineering and Technology for Prevention and Control of Poultry Disease, Yangzhou, Jiangsu, 225009, China.
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17
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Rafeek RAM, Divarathna MVM, Noordeen F. History and current trends in influenza virus infections with special reference to Sri Lanka. Virusdisease 2017; 28:225-232. [PMID: 29291207 DOI: 10.1007/s13337-017-0390-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 06/20/2017] [Indexed: 01/01/2023] Open
Abstract
The World Health Organization (WHO) estimates that approximately one billion people are infected and up to 500,000 people die from influenza each year in the world. Influenza is considered to be the greatest killer of the human populations, due to the 1918 Spanish flu, which killed millions around the world. Despite the effective treatment available against influenza, it still contributes to significant morbidity and mortality. Currently circulating influenza strains in humans include influenza A (H1N1)pdm09, influenza A (H3N2) and influenza B viruses, (B/Victoria and B/Yamagata). Influenza has been prevalent in Sri Lanka from 1969, since then it continued to cause morbidity and mortality in children and adults. The current global influenza surveillance network monitors the global influenza activity through WHO collaborating centres. The Medical Research Institute monitors and diagnoses influenza cases in the country as part of the WHO network laboratories. Vaccinations to high risk groups and antiviral therapy for the successful prevention of influenza have been practiced in Sri Lanka. This review highlights the impact of influenza on public health in Sri Lanka including the historical aspects, current diagnostic practices and prevention approaches in high risk individuals in the country.
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Affiliation(s)
- R A M Rafeek
- Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - M V M Divarathna
- Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - F Noordeen
- Department of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
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18
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Danqi B, Li Z, Liu Q, Richt JA. H7N9 avian influenza A virus in China: a short report on its circulation, drug resistant mutants and novel antiviral drugs. Expert Rev Anti Infect Ther 2017; 15:723-727. [PMID: 28692316 DOI: 10.1080/14787210.2017.1353419] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
INTRODUCTION The first human H7N9 avian influenza virus case was reported in Shanghai in 2013. Shortly thereafter, this virus spread to other regions in China. Molecular analysis indicated that the H7N9 virus is a reassortant virus containing internal genes from the H9N2 virus and previously described mammalian adaption markers, which could allow the virus to adapt efficiently to a mammalian host. Fortunately, there is no evidence of sustained person-to-person spread. Most of the human H7N9 cases have a history of exposure to live poultry markets (LPMs). The circulating H7N9 were low pathogenic viruses, however highly pathogenic H7N9 viruses were recently identified in human cases. Areas covered: In the present article, the circulation of H7N9 in LPMs of China, the five waves of H7N9 infection in humans, recently identified drug resistant mutants and potential antiviral drugs against H7N9 are discussed; this may provide further understanding of the evolution and pandemic potential of the H7N9 influenza viruses. Expert commentary: All the data reveal that the major source of H7N9 viruses are LPMs and the H7N9 virus is still circulating widely in China. It is concerning that the recent emergence of highly pathogenic H7N9 viruses may result in highly transmissible viruses in mammalian species.
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Affiliation(s)
- Bao Danqi
- a Department of Avian Diseases , Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences , Shanghai , People's Republic of China.,b College of Veterinary Medicine, Inner Mongolia Agricultural University , Hohhot , People's Republic of China
| | - Zejun Li
- a Department of Avian Diseases , Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences , Shanghai , People's Republic of China
| | - Qinfang Liu
- a Department of Avian Diseases , Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences , Shanghai , People's Republic of China
| | - Juergen A Richt
- c Diagnostic Medicine/Pathobiology , College of Veterinary Medicine, Kansas State University , Manhattan , KS , USA
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19
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Lin X, Zhang D, Wang X, Huang Y, Du Z, Zou Y, Lu J, Hao Y. Attitudes of consumers and live-poultry workers to central slaughtering in controlling H7N9: a cross-sectional study. BMC Public Health 2017; 17:517. [PMID: 28549473 PMCID: PMC5446744 DOI: 10.1186/s12889-017-4374-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Accepted: 05/07/2017] [Indexed: 11/21/2022] Open
Abstract
Background Guangdong Province in the Pearl River Delta of Southeast China is among the areas in the country with the highest rates of avian flu cases. In order to control the outbreak of human-infected H7N9 cases, Guangdong launched a new policy on the central slaughtering of live poultry in 2015. This study aims to evaluate attitudes of consumers and live-poultry workers toward the policy. The live-poultry workers consisted of two sub-groups: live-poultry traders and poultry farm workers. Methods Consumers and live-poultry workers from Guangdong were enrolled by stratified multi-stage random sampling. Online and field surveys were conducted to investigate participants’ attitudes on policy implementation. Questionnaires were developed to quantify participant demographics, to collect information about attitudes toward the policy, and to identify influential factors of policy acceptability. Proportional odds logistics regression was used in the univariate and multivariate analyses. A total of 1449 consumers, 181 live-poultry traders, and 114 poultry farm workers completed the study. Results Policy acceptability percentages among consumers, live-poultry traders, and poultry farm workers were 57.1, 37.9, and 62.6%, respectively. Logistics regression shows that consumers tended not to support the policy if they were males, if they were concerned with the food safety of chilled products, and if they preferred purchasing live poultry. Live-poultry traders tended not to support if they were subsidized by the government, if they were males, if they experienced a drop in trading volume, and if they were unclear whether avian flu was a preventable disease. Finally, poultry farm workers tended not to support if they experienced a drop in trading volume, if they operated a poultry farm on a small to medium scale, and if they experienced inconvenience in their work due to the policy. Conclusions The study reveals a substantial refusal or slowness to accept the policy. Failure to accept the policy results from varying reasons. Among consumers, concern about food safety and dietary preference are two major causes of disapproval. Policy acceptability among live-poultry workers diverges within the two sub-groups. While a large percentage of poultry farm workers accept the policy, the drop in trading and an insufficient subsidy hamper acceptance by live-poultry traders. We recommend that policy-makers promote health education and alleviate the policy impact on trading with a reformed subsidy policy to increase acceptability. These findings are crucial for the prevention of human-infected H7N9 cases in Guangdong. Electronic supplementary material The online version of this article (doi:10.1186/s12889-017-4374-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xiao Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China
| | - Dingmei Zhang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China
| | - Xinwei Wang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China
| | - Yun Huang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China
| | - Zhicheng Du
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China
| | - Yaming Zou
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China
| | - Jiahai Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China
| | - Yuantao Hao
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, China. .,Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, 510080, China.
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20
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Ge E, Zhang R, Li D, Wei X, Wang X, Lai PC. Estimating Risks of Inapparent Avian Exposure for Human Infection: Avian Influenza Virus A (H7N9) in Zhejiang Province, China. Sci Rep 2017; 7:40016. [PMID: 28054599 PMCID: PMC5214706 DOI: 10.1038/srep40016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 11/09/2016] [Indexed: 11/09/2022] Open
Abstract
Inapparent avian exposure was suspected for the sporadic infection of avian influenza A(H7N9) occurring in China. This type of exposure is usually unnoticed and difficult to model and measure. Infected poultry with avian influenza H7N9 virus typically remains asymptomatic, which may facilitate infection through inapparent poultry/bird exposure, especially in a country with widespread practice of backyard poultry. The present study proposed a novel approach that integrated ecological and case-control methods to quantify the risk of inapparent avian exposure on human H7N9 infection. Significant associations of the infection with chicken and goose densities, but not with duck density, were identified after adjusting for spatial clustering effects of the H7N9 cases across multiple geographic scales of neighborhood, community, district and city levels. These exposure risks varied geographically in association with proximity to rivers and lakes that were also proxies for inapparent exposure to avian-related environment. Males, elderly people, and farmers were high-risk subgroups for the virus infection. These findings enable health officials to target educational programs and awareness training in specific locations to reduce the risks of inapparent exposure.
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Affiliation(s)
- Erjia Ge
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Renjie Zhang
- Zhejiang Provincial Center for Disease Prevention &Control, Hangzhou, P.R. China
| | - Dengkui Li
- School of Mathematics &Statistics, Xi'an Jiaotong University, Xi'an, P.R. China
| | - Xiaolin Wei
- Division of Clinical Public Health and Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Xiaomeng Wang
- Zhejiang Provincial Center for Disease Prevention &Control, Hangzhou, P.R. China
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21
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Choi EJ, Lee HS, Noh JY, Song JY, Cheong HJ, Shin OS, Lee H, Jeong M, Kim WJ. Humoral and Cellular Immunogenicity Induced by Avian Influenza A (H7N9) DNA Vaccine in Mice. Infect Chemother 2017; 49:117-122. [PMID: 28681576 PMCID: PMC5500266 DOI: 10.3947/ic.2017.49.2.117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Accepted: 06/09/2017] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND In March 2013, human infection with avian influenza A (H7N9) virus emerged in China, causing serious public health concerns and raising the possibility of avian-source pandemic influenza. Thus, the development of an effective vaccine for preventing and rapidly controlling avian influenza A (H7N9) virus is needed. In this study, we evaluated the immunogenicity of a synthetic DNA vaccine against H7 HA antigens in mice. MATERIALS AND METHODS The synthetic consensus H7 HA DNA vaccine (25 or 50 μg) was administered to BALB/c mice at 0, 14, and 28 days by intramuscular injection followed by electroporation. Humoral and cellular immune responses were analyzed in a hemagglutination inhibition test and interferon-gamma enzyme-linked immunospot (ELISpot) assay, respectively. RESULTS H7 HA-vaccinated mice showed 100% seroprotection and seroconversion rate against H7N9 reassortant influenza virus after both second and third immunizations. The geometric mean titer by the hemagglutination inhibition test increased with an increasing number of immunizations. However, there was no significant difference in geometric titer between the two groups injected with 25 and 50 μg of H7 HA DNA vaccine after two (79.98 vs. 107.65, P = 0.39) and three (159.96 vs. 215.28, P = 0.18) doses. In addition, the ELISpot assay revealed that administration of H7 HA DNA vaccine induced potent interferon-gamma production from mouse splenocytes. CONCLUSIONS This study demonstrated the humoral and cellular immunogenicity of synthetic consensus H7 HA DNA vaccine in mice. This work demonstrates the potential of the H7 HA DNA vaccine as an efficient tool for the rapid control of emerging influenza A (H7N9) virus.
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Affiliation(s)
- Eun Jin Choi
- BK21 Plus Graduate Program Biomedical Sciences, Korea University College of Medicine, Seoul, Korea.,Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.,Transgovernmental Enterprise for Pandemic Influenza in Korea, Seoul, Korea
| | - Han Sol Lee
- BK21 Plus Graduate Program Biomedical Sciences, Korea University College of Medicine, Seoul, Korea.,Transgovernmental Enterprise for Pandemic Influenza in Korea, Seoul, Korea.,Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea
| | - Ji Yun Noh
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.,Transgovernmental Enterprise for Pandemic Influenza in Korea, Seoul, Korea
| | - Joon Young Song
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.,Transgovernmental Enterprise for Pandemic Influenza in Korea, Seoul, Korea
| | - Hee Jin Cheong
- Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.,Transgovernmental Enterprise for Pandemic Influenza in Korea, Seoul, Korea
| | - Ok Sarah Shin
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Korea.,Department of Microbiology, Korea University College of Medicine, Seoul, Korea
| | - Hyojin Lee
- GeneOne Life Science, Inc., Seoul, Korea
| | | | - Woo Joo Kim
- BK21 Plus Graduate Program Biomedical Sciences, Korea University College of Medicine, Seoul, Korea.,Division of Infectious Diseases, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.,Transgovernmental Enterprise for Pandemic Influenza in Korea, Seoul, Korea.
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Characterizations of H4 avian influenza viruses isolated from ducks in live poultry markets and farm in Shanghai. Sci Rep 2016; 6:37843. [PMID: 27897216 PMCID: PMC5126664 DOI: 10.1038/srep37843] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 10/31/2016] [Indexed: 01/18/2023] Open
Abstract
H4 avian influenza virus is one of the most prevalent influenza virus subtypes in birds. The evolution and pathogenicity of H4 AIV in domestic birds of China remain largely unclear. In the present study, a total of eight H4 AIV strains isolated in duck farm and live poultry markets (LPM) were characterized. Phylogenetic analysis indicated that these strains are divided into two groups in the Eurasian lineage. Eight genes of MH-2/H4N6 isolated from a duck farm were closely related to three H4N6 viruses from LPM, suggesting a potential AIV link between farms and LPMs. Additionally, the HA, NA, PB2, NP, and NS genes of two other H4N6 viruses isolated in LPM clustered with that of MH-2/H4N6. However, the remaining genes were more closely related to other sublineages, suggesting that MH-2/H4N6-originated viruses reassorted with other viruses in LPM. All H4 viruses replicated in mouse lungs without prior adaptation and all viruses replicated and transmitted among ducks. 29-1/H4N2, MH-2/H4N6, and 420-2/H4N6 viruses caused systemic infection in infected ducks. However, most of the viruses were not adapted in chickens. The present results indicate a potential correlation of AIV between LPMs and farms and suggest that active surveillance of AIV in LPM is warranted in China.
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Differences in the Epidemiology of Childhood Infections with Avian Influenza A H7N9 and H5N1 Viruses. PLoS One 2016; 11:e0161925. [PMID: 27695069 PMCID: PMC5047462 DOI: 10.1371/journal.pone.0161925] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 08/15/2016] [Indexed: 11/19/2022] Open
Abstract
The difference between childhood infections with avian influenza viruses A(H5N1) and A(H7N9) remains an unresolved but critically important question. We compared the epidemiological characteristics of 244 H5N1 and 41 H7N9 childhood cases (<15 years old), as well as the childhood cluster cases of the two viruses. Our findings revealed a higher proportion of H5N1 than H7N9 childhood infections (31.1% vs. 6.4%, p = 0.000). However, the two groups did not differ significantly in age (median age: 5.0 vs. 5.5 y, p = 0.0651). The proportion of clustered cases was significantly greater among children infected with H5N1 than among children infected with H7N9 [46.7% (71/152) vs. 23.6% (13/55), p = 0.005], and most of the childhood cases were identified as secondary cases [46.4% (45/97) vs. 33.3% (10/30), p = 0.000]. Mild status accounted for 79.49% and 22.66%, severe status for 17.95% and 2.34%, and fatal cases for 2.56% and 75.00% of the H7N9 and H5N1 childhood infection cases (all p<0.05), respectively. The fatality rates for the total, index and secondary childhood cluster cases were 52.86% (37/70), 88.5% (23/26) and 33.33% (15/45), respectively, in the H5N1 group, whereas no fatal H7N9 childhood cluster cases were identified. In conclusion, lower severity and greater transmission were found in the H7N9 childhood cases than in the H5N1 childhood cases.
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Fang S, Bai T, Yang L, Wang X, Peng B, Liu H, Geng Y, Zhang R, Ma H, Zhu W, Wang D, Cheng J, Shu Y. Sustained live poultry market surveillance contributes to early warnings for human infection with avian influenza viruses. Emerg Microbes Infect 2016; 5:e79. [PMID: 27485495 PMCID: PMC5034097 DOI: 10.1038/emi.2016.75] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 04/22/2016] [Accepted: 05/12/2016] [Indexed: 12/27/2022]
Abstract
Sporadic human infections with the highly pathogenic avian influenza (HPAI) A (H5N6) virus have been reported in different provinces in China since April 2014. From June 2015 to January 2016, routine live poultry market (LPM) surveillance was conducted in Shenzhen, Guangdong Province. H5N6 viruses were not detected until November 2015. The H5N6 virus-positive rate increased markedly beginning in December 2015, and viruses were detected in LPMs in all districts of the city. Coincidently, two human cases with histories of poultry exposure developed symptoms and were diagnosed as H5N6-positive in Shenzhen during late December 2015 and early January 2016. Similar viruses were identified in environmental samples collected in the LPMs and the patients. In contrast to previously reported H5N6 viruses, viruses with six internal genes derived from the H9N2 or H7N9 viruses were detected in the present study. The increased H5N6 virus-positive rate in the LPMs and the subsequent human infections demonstrated that sustained LPM surveillance for avian influenza viruses provides an early warning for human infections. Interventions, such as LPM closures, should be immediately implemented to reduce the risk of human infection with the H5N6 virus when the virus is widely detected during LPM surveillance.
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Affiliation(s)
- Shisong Fang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Tian Bai
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Lei Yang
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Xin Wang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Bo Peng
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Hui Liu
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Yijie Geng
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Renli Zhang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Hanwu Ma
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Wenfei Zhu
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jinquan Cheng
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Yuelong Shu
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Experimental Challenge of a Peridomestic Avian Species, European Starlings ( Sturnus vulgaris ), with Novel Influenza A H7N9 Virus from China. J Wildl Dis 2016; 52:709-12. [PMID: 27285413 DOI: 10.7589/2016-02-033] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
In 2013 a novel avian influenza H7N9 virus was isolated from several critically ill patients in China, and infection with this virus has since caused more than 200 human deaths. Live poultry markets are the likely locations of virus exposure to humans. Peridomestic avian species also may play important roles in the transmission and maintenance of H7N9 at live poultry markets. We experimentally challenged wild European Starlings ( Sturnus vulgaris ) with the novel H7N9 virus and measured virus excretion, clinical signs, and infectious dose. We found that European Starlings can be infected with this virus when inoculated with relatively high doses, and we predict that infected birds excrete sufficient amounts of virus to transmit to other birds, including domestic chickens. Infected European Starlings showed no clinical signs or mortality after infection with H7N9. This abundant peridomestic bird may be a source of the novel H7N9 virus in live poultry markets and may have roles in virus transmission to poultry and humans.
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26
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Filippitzi ME, Goumperis T, Robinson T, Saegerman C. Microbiological Zoonotic Emerging Risks, Transmitted Between Livestock Animals and Humans (2007-2015). Transbound Emerg Dis 2016; 64:1059-1070. [PMID: 28670863 DOI: 10.1111/tbed.12484] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Indexed: 11/27/2022]
Abstract
As part of the Emerging Risk Identification (ERI) activities of the European Food Safety Authority (EFSA), a literature search was conducted to identify the microbiological agents transmitted between livestock animals and humans that have been suggested as having emerged between 2007 and 2015 in peer-reviewed scientific literature published during the same period (2007-2015). According to the criteria set, the search identified seven such zoonotic agents, namely West Nile Fever virus, Rift Valley Fever virus, Crimean-Congo Haemorrhagic Fever virus, Influenza A H1N1 virus, Coxiella burnetii, Streptococcus suis and livestock-associated methicillin-resistant Staphylococcus aureus clonal complex 398. An explanation of the agents' consideration as emerging risks is provided. The experience gained from these emergences has shown that the detection of and response to such risks can be achieved faster and more successfully within a multidisciplinary, collaborative context at the field, local, national and international levels.
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Affiliation(s)
- M E Filippitzi
- Veterinary Epidemiology Unit, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - T Goumperis
- Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Parma, Italy
| | - T Robinson
- Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Parma, Italy
| | - C Saegerman
- Research Unit of Epidemiology and Risk Analysis Applied to Veterinary Sciences (UREAR-ULg), Center for Fundamental and Applied Research for Animals and Health (FARAH), Faculty of Veterinary Medicine, University of Liege, Liege, Belgium
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27
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Millman AJ, Havers F, Iuliano AD, Davis CT, Sar B, Sovann L, Chin S, Corwin AL, Vongphrachanh P, Douangngeun B, Lindblade KA, Chittaganpitch M, Kaewthong V, Kile JC, Nguyen HT, Pham DV, Donis RO, Widdowson MA. Detecting Spread of Avian Influenza A(H7N9) Virus Beyond China. Emerg Infect Dis 2016; 21:741-9. [PMID: 25897654 PMCID: PMC4412232 DOI: 10.3201/eid2105.141756] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
This virus is unlikely to have spread substantially among humans in Vietnam, Thailand, Cambodia, and Laos. During February 2013–March 2015, a total of 602 human cases of low pathogenic avian influenza A(H7N9) were reported; no autochthonous cases were reported outside mainland China. In contrast, since highly pathogenic avian influenza A(H5N1) reemerged during 2003 in China, 784 human cases in 16 countries and poultry outbreaks in 53 countries have been reported. Whether the absence of reported A(H7N9) outside mainland China represents lack of spread or lack of detection remains unclear. We compared epidemiologic and virologic features of A(H5N1) and A(H7N9) and used human and animal influenza surveillance data collected during April 2013–May 2014 from 4 Southeast Asia countries to assess the likelihood that A(H7N9) would have gone undetected during 2014. Surveillance in Vietnam and Cambodia detected human A(H5N1) cases; no A(H7N9) cases were detected in humans or poultry in Southeast Asia. Although we cannot rule out the possible spread of A(H7N9), substantial spread causing severe disease in humans is unlikely.
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28
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Bui C, Rahman B, Heywood AE, MacIntyre CR. A Meta-Analysis of the Prevalence of Influenza A H5N1 and H7N9 Infection in Birds. Transbound Emerg Dis 2016; 64:967-977. [DOI: 10.1111/tbed.12466] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2015] [Indexed: 12/30/2022]
Affiliation(s)
- C. Bui
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - B. Rahman
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - A. E. Heywood
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - C. R. MacIntyre
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
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29
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Choi MJ, Torremorell M, Bender JB, Smith K, Boxrud D, Ertl JR, Yang M, Suwannakarn K, Her D, Nguyen J, Uyeki TM, Levine M, Lindstrom S, Katz JM, Jhung M, Vetter S, Wong KK, Sreevatsan S, Lynfield R. Live Animal Markets in Minnesota: A Potential Source for Emergence of Novel Influenza A Viruses and Interspecies Transmission. Clin Infect Dis 2015; 61:1355-62. [PMID: 26223994 PMCID: PMC4599395 DOI: 10.1093/cid/civ618] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2015] [Accepted: 06/07/2015] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Live animal markets have been implicated in transmission of influenza A viruses (IAVs) from animals to people. We sought to characterize IAVs at 2 live animal markets in Minnesota to assess potential routes of occupational exposure and risk for interspecies transmission. METHODS We implemented surveillance for IAVs among employees, swine, and environment (air and surfaces) during a 12-week period (October 2012-January 2013) at 2 markets epidemiologically associated with persons with swine-origin IAV (variant) infections. Real-time reverse transcription polymerase chain reaction (rRT-PCR), viral culture, and whole-genome sequencing were performed on respiratory and environmental specimens, and serology on sera from employees at beginning and end of surveillance. RESULTS Nasal swabs from 11 of 17 (65%) employees tested positive for IAVs by rRT-PCR; 7 employees tested positive on multiple occasions and 1 employee reported influenza-like illness. Eleven of 15 (73%) employees had baseline hemagglutination inhibition antibody titers ≥40 to swine-origin IAVs, but only 1 demonstrated a 4-fold titer increase to both swine-origin and pandemic A/Mexico/4108/2009 IAVs. IAVs were isolated from swine (72/84), air (30/45), and pen railings (5/21). Whole-genome sequencing of 122 IAVs isolated from swine and environmental specimens revealed multiple strains and subtype codetections. Multiple gene segment exchanges among and within subtypes were observed, resulting in new genetic constellations and reassortant viruses. Genetic sequence similarities of 99%-100% among IAVs of 1 market customer and swine indicated interspecies transmission. CONCLUSIONS At markets where swine and persons are in close contact, swine-origin IAVs are prevalent and potentially provide conditions for novel IAV emergence.
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Affiliation(s)
- Mary J. Choi
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Montserrat Torremorell
- University of Minnesota College of Veterinary Medicine, Minnesota Center of Excellence for Influenza Research and Surveillance
| | - Jeff B. Bender
- University of Minnesota College of Veterinary Medicine, Minnesota Center of Excellence for Influenza Research and Surveillance
| | | | | | - Jon R. Ertl
- University of Minnesota College of Veterinary Medicine, Minnesota Center of Excellence for Influenza Research and Surveillance
| | - My Yang
- University of Minnesota College of Veterinary Medicine, Minnesota Center of Excellence for Influenza Research and Surveillance
| | - Kamol Suwannakarn
- University of Minnesota College of Veterinary Medicine, Minnesota Center of Excellence for Influenza Research and Surveillance
| | | | | | | | - Min Levine
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | - Michael Jhung
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Karen K. Wong
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Srinand Sreevatsan
- University of Minnesota College of Veterinary Medicine, Minnesota Center of Excellence for Influenza Research and Surveillance
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Su W, Wang C, Luo J, Zhao Y, Wu Y, Chen L, Zhao N, Li M, Xing C, Liu H, Zhang H, Chang YF, Li T, Ding H, Wan X, He H. Testing the Effect of Internal Genes Derived from a Wild-Bird-Origin H9N2 Influenza A Virus on the Pathogenicity of an A/H7N9 Virus. Cell Rep 2015; 12:1831-41. [PMID: 26344762 DOI: 10.1016/j.celrep.2015.08.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Revised: 06/24/2015] [Accepted: 08/07/2015] [Indexed: 01/11/2023] Open
Abstract
Since 2013, avian influenza A(H7N9) viruses have diversified into multiple lineages by dynamically reassorting with other viruses, especially H9N2, in Chinese poultry. Despite concerns about the pandemic threat posed by H7N9 viruses, little is known about the biological properties of H7N9 viruses that may recruit internal genes from genetically distinct H9N2 viruses circulating among wild birds. Here, we generated 63 H7N9 reassortants derived from an avian H7N9 and a wild-bird-origin H9N2 virus. Compared with the wild-type parent, 25/63 reassortants had increased pathogenicity in mice. A reassortant containing PB1 of the H9N2 virus was highly lethal to mice and chickens but was not transmissible to guinea pigs by airborne routes; however, three substitutions associated with adaptation to mammals conferred airborne transmission to the virus. The emergence of the H7N9-pandemic reassortant virus highlights that continuous monitoring of H7N9 viruses is needed, especially at the domestic poultry/wild bird interface.
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Affiliation(s)
- Wen Su
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100101, China
| | - Chengmin Wang
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jing Luo
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yuliang Zhao
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yan Wu
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang 310021, China
| | - Lin Chen
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100101, China
| | - Na Zhao
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100101, China
| | - Meng Li
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100101, China
| | - Chao Xing
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Huimin Liu
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Hong Zhang
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yung-fu Chang
- Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University Ithaca, NY 14853-5786, USA
| | - Tianxian Li
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China
| | - Hua Ding
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang 310021, China
| | - Xiufeng Wan
- Department of Basic Sciences, College of Veterinary Medicine, and Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA
| | - Hongxuan He
- National Research Center for Wildlife Born Diseases, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
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Surveillance of Avian H7N9 Virus in Various Environments of Zhejiang Province, China before and after Live Poultry Markets Were Closed in 2013-2014. PLoS One 2015; 10:e0135718. [PMID: 26308215 PMCID: PMC4550274 DOI: 10.1371/journal.pone.0135718] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2015] [Accepted: 07/24/2015] [Indexed: 11/19/2022] Open
Abstract
Background To date, there have been a total of 637 laboratory-confirmed cases of human infection with avian influenza A (H7N9) virus across mainland China, with 28% (179/637) of these reported in Zhejiang Province. Surveillance of avian H7N9 virus was conducted to investigate environmental contamination during H7N9 outbreaks. We sought to evaluate the prevalence of H7N9 in the environment, and the effects of poultry market closures on the incidence of human H7N9 cases. Methods We collected 6740 environmental samples from 751 sampling sites across 11 cities of Zhejiang Province (China) between January 2013 and March 2014. The presence of H7N9 was determined by reverse transcription polymerase chain reaction, with prevalence compared between sites and over time. The relationship between environmental contamination and human cases of H7N9 infection were analyzed using Spearman’s ranked correlation coefficient. Results Of the 6740 samples, 10.09% (680/6740) were H7N9-positive. The virus was found to circulate seasonally, and peaked during the spring and winter of 2013–2014. The prevalence of the virus decreased from the north to the southeast of the province, coinciding with the geographical distribution of human H7N9 cases. Compared with other sampling sites, live poultry markets (LPMs) had the highest prevalence of H7N9 virus at 13.94% (667/4784). Of the various sample types analyzed, virus prevalence was highest for chopping board swabs at 15.49% (110/710). The prevalence of the virus in the environment positively correlated with the incidence of human H7N9 cases (r2 = 0.498; P < 0.01). Cities with a higher incidence of human H7N9 cases also had a higher prevalence of H7N9 among samples and at sampling sites. Following the closure of LPMs at the end of January 2014, the prevalence of H7N9 decreased from 19.18% (487/2539) to 6.92% (79/1141). This corresponded with a decrease in the number of human H7N9 cases reported. Conclusions The prevalence of H7N9 virus in environmental samples oscillated seasonally, regardless of whether LPMs were open. The presence of H7N9 in environmental samples positively correlated with the number of human H7N9 cases, indicating that eradication of the virus from the environment is essential in reducing the numbers of H7N9 cases and halting the spread of the virus.
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Abstract
In March 2013 the first cases of human avian influenza A(H7N9) were reported to the World Health Organization. Since that time, over 650 cases have been reported. Infections are associated with considerable morbidity and mortality, particularly within certain demographic groups. This rapid increase in cases over a brief time period is alarming and has raised concerns about the pandemic potential of the H7N9 virus. Three major factors influence the pandemic potential of an influenza virus: (1) its ability to cause human disease, (2) the immunity of the population to the virus, and (3) the transmission potential of the virus. This paper reviews what is currently known about each of these factors with respect to avian influenza A(H7N9). Currently, sustained human-to-human transmission of H7N9 has not been reported; however, population immunity to the virus is considered very low, and the virus has significant ability to cause human disease. Several statistical and geographical modelling studies have estimated and predicted the spread of the H7N9 virus in humans and avian species, and some have identified potential risk factors associated with disease transmission. Additionally, assessment tools have been developed to evaluate the pandemic potential of H7N9 and other influenza viruses. These tools could also hypothetically be used to monitor changes in the pandemic potential of a particular virus over time.
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Evaluation and application of a one-step duplex real-time reverse transcription polymerase chain reaction assay for the rapid detection of influenza A (H7N9) virus from poultry samples. Arch Virol 2015; 160:2471-7. [PMID: 26179621 DOI: 10.1007/s00705-015-2511-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 06/23/2015] [Indexed: 10/23/2022]
Abstract
In China, a novel reassortant influenza A (H7N9) virus, which has caused 435 cases of human infection, has recently emerged. Most cases of human infections with the H7N9 virus are known to be associated with a poultry farm and live-poultry markets. In this study, a one-step duplex real-time reverse transcription polymerase chain reaction (RRT-PCR) assay was developed for the simultaneous detection of the hemagglutinin (HA) and neuraminidase (NA) genes of the H7N9 virus for effective surveillance and early diagnosis of cases from clinical samples collected from live-poultry markets or poultry farms. The detection limit of this assay was as low as 0.1 EID50 of H7N9 viruses, which is similar to the detection limit of the real-time RT-PCR assay released by the Word Health Organization. The coefficients of variation (CVs) of both inter-assay and intra-assay reproducibility were less than 1.55 %, showing good reproducibility. No cross-reactivity was observed with RNA of other subtypes of influenza virus or other avian respiratory viruses. The assay can effectively detect H7N9 influenza virus RNA from multiple sources, including chickens, pigeons, ducks, humans, and the environment. Furthermore, the RRT-PCR assay was evaluated with more than 700 clinical samples collected from live-poultry markets and 120 experimentally infected chicken samples. Together, these results indicate that the duplex RRT-PCR assay is a specific, sensitive, and efficient diagnostic method for the epidemiological surveillance and diagnosis of H7N9 virus from different sources, particularly poultry samples.
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34
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Wu P, Jiang H, Wu JT, Chen E, He J, Zhou H, Wei L, Yang J, Yang B, Qin Y, Fang VJ, Li M, Tsang TK, Zheng J, Lau EHY, Cao Y, Chai C, Zhong H, Li Z, Leung GM, Feng L, Gao GF, Cowling BJ, Yu H. Poultry market closures and human infection with influenza A(H7N9) virus, China, 2013-14. Emerg Infect Dis 2015; 20:1891-4. [PMID: 25340354 PMCID: PMC4214308 DOI: 10.3201/eid2011.140556] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Closure of live poultry markets was implemented in areas affected by the influenza virus A(H7N9) outbreak in China during winter, 2013–14. Our analysis showed that closing live poultry markets in the most affected cities of Guangdong and Zhejiang provinces was highly effective in reducing the risk for H7N9 infection in humans.
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Kang M, He J, Song T, Rutherford S, Wu J, Lin J, Huang G, Tan X, Zhong H. Environmental Sampling for Avian Influenza A(H7N9) in Live-Poultry Markets in Guangdong, China. PLoS One 2015; 10:e0126335. [PMID: 25933138 PMCID: PMC4416787 DOI: 10.1371/journal.pone.0126335] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Accepted: 04/01/2015] [Indexed: 12/03/2022] Open
Abstract
Background To provide an increased understanding of avian influenza A(H7N9) activity in live-poultry market in space and time and hence improve H7N9 epidemic control, an ongoing environmental sampling program in multiple live-poultry markets across Guangdong, China was conducted during March 2013–June 2014. Methods A total of 625 live-poultry markets throughout 21 prefecture areas took part in the study. A total of 10 environmental sites in markets for sampling were identified to represent 4 different poultry-related activity areas. At least 10 environmental samples were collected from each market every month. The real time RT-PCR was performed to detect the avian influenza A(H7N9) virus. Field survey was conducted to investigate the sanitation status of live-poultry markets. Results There were 109 human infections with H7N9 avian influenza in Guangdong, of which 37 (34%) died. A total of 18741 environmental swabs were collected and subjected to real-time RT-PCR test, of which 905(4.83%) were found positive for H7N9 virus. There were 201 (32.16%) markets affected by H7N9 in 16 prefecture areas. The detection of H7N9 virus in markets spiked in winter months. 63.33% markets (38/60) had no physical segregation for poultry holding, slaughter or sale zones. Closing live-poultry market significantly decreased the H7N9 detection rate from 14.83% (112/755) to 1.67% (5/300). Conclusions This study indicates the importance of live-poultry market surveillance based on environmental sampling for H7N9 Avian Influenza control. Improving live-poultry market management and sanitation and changing consumer practices are critical to reduce the risk of H7N9 infection.
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Affiliation(s)
- Min Kang
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
| | - Jianfeng He
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
| | - Tie Song
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
| | - Shannon Rutherford
- Centre for Environment and Population Health, School of Environment, Griffith University, Brisbane, Australia
| | - Jie Wu
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
| | - Jinyan Lin
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
| | - Guofeng Huang
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
| | - Xiaohua Tan
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
| | - Haojie Zhong
- Center for Disease Control and Prevention of Guangdong Province, Guangzhou, People’s Republic of China
- * E-mail:
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Cheng Z, Zhou J, To KKW, Chu H, Li C, Wang D, Yang D, Zheng S, Hao K, Bossé Y, Obeidat M, Brandsma CA, Song YQ, Chen Y, Zheng BJ, Li L, Yuen KY. Identification of TMPRSS2 as a Susceptibility Gene for Severe 2009 Pandemic A(H1N1) Influenza and A(H7N9) Influenza. J Infect Dis 2015; 212:1214-21. [PMID: 25904605 PMCID: PMC7107393 DOI: 10.1093/infdis/jiv246] [Citation(s) in RCA: 139] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Accepted: 03/27/2015] [Indexed: 01/25/2023] Open
Abstract
The genetic predisposition to severe A(H1N1)2009 (A[H1N1]pdm09) influenza was evaluated in 409 patients, including 162 cases with severe infection and 247 controls with mild infection. We prioritized candidate variants based on the result of a pilot genome-wide association study and a lung expression quantitative trait locus data set. The GG genotype of rs2070788, a higher-expression variant of TMPRSS2, was a risk variant (odds ratio, 2.11; 95% confidence interval, 1.18-3.77; P = .01) to severe A(H1N1)pdm09 influenza. A potentially functional single-nucleotide polymorphism, rs383510, accommodated in a putative regulatory region was identified to tag rs2070788. Luciferase assay results showed the putative regulatory region was a functional element, in which rs383510 regulated TMPRSS2 expression in a genotype-specific manner. Notably, rs2070788 and rs383510 were significantly associated with the susceptibility to A(H7N9) influenza in 102 patients with A(H7N9) influenza and 106 healthy controls. Therefore, we demonstrate that genetic variants with higher TMPRSS2 expression confer higher risk to severe A(H1N1)pdm09 influenza. The same variants also increase susceptibility to human A(H7N9) influenza.
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Affiliation(s)
| | - Jie Zhou
- Department of Microbiology Research Centre of Infection and Immunology State Key Laboratory of Emerging Infectious Diseases
| | - Kelvin Kai-Wang To
- Department of Microbiology Research Centre of Infection and Immunology State Key Laboratory of Emerging Infectious Diseases Carol Yu Centre for Infection
| | - Hin Chu
- Department of Microbiology Research Centre of Infection and Immunology State Key Laboratory of Emerging Infectious Diseases
| | - Cun Li
- Department of Microbiology
| | | | | | - Shufa Zheng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, China
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York
| | - Yohan Bossé
- Department of Molecular Medicine, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University
| | - Ma'en Obeidat
- University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, Canada
| | - Corry-Anke Brandsma
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD, The Netherlands
| | - You-Qiang Song
- Department of Biochemistry, The University of Hong Kong, Pok Fu Lam
| | - Yu Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, China
| | - Bo-Jian Zheng
- Department of Microbiology Research Centre of Infection and Immunology State Key Laboratory of Emerging Infectious Diseases
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, College of Medicine, Zhejiang University, China
| | - Kwok-Yung Yuen
- Department of Microbiology Research Centre of Infection and Immunology State Key Laboratory of Emerging Infectious Diseases Carol Yu Centre for Infection
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Hu M, Li X, Ni X, Wu J, Gao R, Xia W, Wang D, He F, Chen S, Liu Y, Guo S, Li H, Shu Y, Bethel JW, Liu M, Moore JB, Chen H. Coexistence of Avian Influenza Virus H10 and H9 Subtypes among Chickens in Live Poultry Markets during an Outbreak of Infection with a Novel H10N8 Virus in Humans in Nanchang, China. Jpn J Infect Dis 2015; 68:364-9. [PMID: 25766608 DOI: 10.7883/yoken.jjid.2014.377] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Infection with the novel H10N8 virus in humans has raised concerns about its pandemic potential worldwide. We report the results of a cross-sectional study of avian influenza viruses (AIVs) in live poultry markets (LPMs) in Nanchang, China, after the first human case of H10N8 virus infection was reported in the city. A total of 201 specimens tested positive for AIVs among 618 samples collected from 24 LPMs in Nanchang from December 2013 to January 2014. We found that the LPMs were heavily contaminated by AIVs, with H9, H10, and H5 being the predominant subtypes and more than half of the LPMs providing samples that were positive for the H10 subtype. Moreover, the coexistence of different subtypes was common in LPMs. Of the 201 positive samples, 20.9% (42/201) had mixed infections with AIVs of different HA subtypes. Of the 42 mixed infections, 50% (21/42) showed the coexistence of the H9 and H10 subtypes, with or without H5, and were from chicken samples. This indicated that the H10N8 virus probably originated from segment reassortment of the H9 and H10 subtypes.
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Affiliation(s)
- Maohong Hu
- Nanchang Center for Disease Control and Prevention
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38
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Spackman E, Pantin-Jackwood M, Swayne DE, Suarez DL, Kapczynski DR. Impact of route of exposure and challenge dose on the pathogenesis of H7N9 low pathogenicity avian influenza virus in chickens. Virology 2015; 477:72-81. [PMID: 25662310 PMCID: PMC4359631 DOI: 10.1016/j.virol.2015.01.013] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 01/06/2015] [Accepted: 01/14/2015] [Indexed: 12/01/2022]
Abstract
H7N9 influenza A first caused human infections in early 2013 in China. Virus genetics, histories of patient exposures to poultry, and previous experimental studies suggest the source of the virus is a domestic avian species, such as chickens. In order to better understand the ecology of this H7N9 in chickens, we evaluated the infectious dose and pathogenesis of A/Anhui/1/2013 H7N9 in two common breeds of chickens, White Leghorns (table-egg layers) and White Plymouth Rocks (meat chickens). No morbidity or mortality were observed with doses of 10(6) or 10(8)EID50/bird when administered by the upper-respiratory route, and the mean infectious dose (10(6) EID50) was higher than expected, suggesting that the virus is poorly adapted to chickens. Virus was shed at higher titers and spread to the kidneys in chickens inoculated by the intravenous route. Challenge experiments with three other human-origin H7N9 viruses showed a similar pattern of virus replication.
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Affiliation(s)
- Erica Spackman
- Southeast Poultry Research Laboratory, USDA-Agricultural Research Service, 934 College Station Rd., Athens, GA 30605, USA.
| | - Mary Pantin-Jackwood
- Southeast Poultry Research Laboratory, USDA-Agricultural Research Service, 934 College Station Rd., Athens, GA 30605, USA.
| | - David E Swayne
- Southeast Poultry Research Laboratory, USDA-Agricultural Research Service, 934 College Station Rd., Athens, GA 30605, USA.
| | - David L Suarez
- Southeast Poultry Research Laboratory, USDA-Agricultural Research Service, 934 College Station Rd., Athens, GA 30605, USA.
| | - Darrell R Kapczynski
- Southeast Poultry Research Laboratory, USDA-Agricultural Research Service, 934 College Station Rd., Athens, GA 30605, USA.
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Bui C, Bethmont A, Chughtai AA, Gardner L, Sarkar S, Hassan S, Seale H, MacIntyre CR. A Systematic Review of the Comparative Epidemiology of Avian and Human Influenza A H5N1 and H7N9 - Lessons and Unanswered Questions. Transbound Emerg Dis 2015; 63:602-620. [DOI: 10.1111/tbed.12327] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2014] [Indexed: 11/29/2022]
Affiliation(s)
- C. Bui
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - A. Bethmont
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - A. A. Chughtai
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - L. Gardner
- School of Civil and Environmental Engineering; University of New South Wales; Sydney NSW Australia
| | - S. Sarkar
- Section of Integrative Biology; University of Texas at Austin; Austin TX USA
| | - S. Hassan
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - H. Seale
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
| | - C. R. MacIntyre
- School of Public Health and Community Medicine; University of New South Wales; Sydney NSW Australia
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40
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Wu D, Zou S, Bai T, Li J, Zhao X, Yang L, Liu H, Li X, Yang X, Xin L, Xu S, Zou X, Li X, Wang A, Guo J, Sun B, Huang W, Zhang Y, Li X, Gao R, Shen B, Chen T, Dong J, Wei H, Wang S, Li Q, Li D, Wu G, Feng Z, Gao GF, Wang Y, Wang D, Fan M, Shu Y. Poultry farms as a source of avian influenza A (H7N9) virus reassortment and human infection. Sci Rep 2015; 5:7630. [PMID: 25591105 PMCID: PMC4295517 DOI: 10.1038/srep07630] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 11/19/2014] [Indexed: 12/21/2022] Open
Abstract
Live poultry markets are a source of human infection with avian influenza A (H7N9) virus. On February 21, 2014, a poultry farmer infected with H7N9 virus was identified in Jilin, China, and H7N9 and H9N2 viruses were isolated from the patient's farm. Reassortment between these subtype viruses generated five genotypes, one of which caused the human infection. The date of H7N9 virus introduction to the farm is estimated to be between August 21, 2013 (95% confidence interval [CI] June 6, 2013-October 6, 2013) and September 25, 2013 (95% CI May 28, 2013-January 4, 2014), suggesting that the most likely source of virus introduction was the first batch of poultry purchased in August 2013. The reassortment event that led to the human virus may have occurred between January 2, 2014 (95% CI November 8, 2013-February 12, 2014) and February 12, 2014 (95% CI January 19, 2014-February 18, 2014). Our findings demonstrate that poultry farms could be a source of reassortment between H7N9 virus and H9N2 virus as well as human infection, which emphasizes the importance to public health of active avian influenza surveillance at poultry farms.
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Affiliation(s)
- Donglin Wu
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Shumei Zou
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Tian Bai
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Jing Li
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Xiang Zhao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Lei Yang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Hongmin Liu
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Xiaodan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Xianda Yang
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Li Xin
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Shuang Xu
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Xiaohui Zou
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Xiyan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Ao Wang
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Junfeng Guo
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Bingxin Sun
- Changchun Prefecture Center for Disease Prevention and Control, Jilin, China
| | - Weijuan Huang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Ye Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Xiang Li
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Rongbao Gao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Bo Shen
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Tao Chen
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Jie Dong
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Hejiang Wei
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Shiwen Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Qun Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dexin Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Guizhen Wu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - George F Gao
- 1] Chinese Center for Disease Control and Prevention, Beijing, China [2] CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yu Wang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Ming Fan
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Yuelong Shu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
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41
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Wu D, Zou S, Bai T, Li J, Zhao X, Yang L, Liu H, Li X, Yang X, Xin L, Xu S, Zou X, Li X, Wang A, Guo J, Sun B, Huang W, Zhang Y, Li X, Gao R, Shen B, Chen T, Dong J, Wei H, Wang S, Li Q, Li D, Wu G, Feng Z, Gao GF, Wang Y, Wang D, Fan M, Shu Y. Poultry farms as a source of avian influenza A (H7N9) virus reassortment and human infection. Sci Rep 2015. [PMID: 25591105 DOI: 10.1038/srep07630.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Live poultry markets are a source of human infection with avian influenza A (H7N9) virus. On February 21, 2014, a poultry farmer infected with H7N9 virus was identified in Jilin, China, and H7N9 and H9N2 viruses were isolated from the patient's farm. Reassortment between these subtype viruses generated five genotypes, one of which caused the human infection. The date of H7N9 virus introduction to the farm is estimated to be between August 21, 2013 (95% confidence interval [CI] June 6, 2013-October 6, 2013) and September 25, 2013 (95% CI May 28, 2013-January 4, 2014), suggesting that the most likely source of virus introduction was the first batch of poultry purchased in August 2013. The reassortment event that led to the human virus may have occurred between January 2, 2014 (95% CI November 8, 2013-February 12, 2014) and February 12, 2014 (95% CI January 19, 2014-February 18, 2014). Our findings demonstrate that poultry farms could be a source of reassortment between H7N9 virus and H9N2 virus as well as human infection, which emphasizes the importance to public health of active avian influenza surveillance at poultry farms.
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Affiliation(s)
- Donglin Wu
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Shumei Zou
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Tian Bai
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Jing Li
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Xiang Zhao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Lei Yang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Hongmin Liu
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Xiaodan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Xianda Yang
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Li Xin
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Shuang Xu
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Xiaohui Zou
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Xiyan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Ao Wang
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Junfeng Guo
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Bingxin Sun
- Changchun Prefecture Center for Disease Prevention and Control, Jilin, China
| | - Weijuan Huang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Ye Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Xiang Li
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Rongbao Gao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Bo Shen
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Tao Chen
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Jie Dong
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Hejiang Wei
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Shiwen Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Qun Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dexin Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Guizhen Wu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - George F Gao
- 1] Chinese Center for Disease Control and Prevention, Beijing, China [2] CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Yu Wang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Ming Fan
- Jilin Provincial Center for Disease Prevention and Control, Jilin, China
| | - Yuelong Shu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
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42
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Viral lung infections: epidemiology, virology, clinical features, and management of avian influenza A(H7N9). Curr Opin Pulm Med 2015; 20:225-32. [PMID: 24637225 DOI: 10.1097/mcp.0000000000000047] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE OF REVIEW The avian influenza A(H7N9) virus has jumped species barrier and caused severe human infections. Here, we present the virological features relevant to clinical practice, and summarize the epidemiology, clinical findings, diagnosis, treatment, and preventive strategies of A(H7N9) infection. RECENT FINDINGS As of 18 February 2014, A(H7N9) virus has caused 354 infections in mainland China, Taiwan, and Hong Kong with a case-fatality rate of 32%. Elderly men were most affected. Most patients acquired the infection from direct contact with poultry or from a contaminated environment, although person-to-person transmission has likely occurred. A(H7N9) infection has usually presented with severe pneumonia, often complicated by acute respiratory distress syndrome and multiorgan failure. Mild infections have been reported in children and young adults. Nasopharyngeal aspirate and sputum samples should be collected for diagnosis, preferably using reverse transcriptase-PCR. Early treatment with neuraminidase inhibitors improved survival, but the efficacy of antivirals was hampered by resistant mutants. The closure of live poultry markets in affected areas has significantly contributed to the decline in the incidence of human cases. SUMMARY The emergence of A(H7N9) virus represents a significant health threat. High vigilance is necessary so that appropriate treatment can be instituted for the patient and preventive measures can be implemented.
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43
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Husain M. Avian influenza A (H7N9) virus infection in humans: Epidemiology, evolution, and pathogenesis. INFECTION GENETICS AND EVOLUTION 2014; 28:304-12. [DOI: 10.1016/j.meegid.2014.10.016] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Revised: 10/15/2014] [Accepted: 10/17/2014] [Indexed: 12/09/2022]
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44
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A cross-sectional study of avian influenza in one district of Guangzhou, 2013. PLoS One 2014; 9:e111218. [PMID: 25356738 PMCID: PMC4214741 DOI: 10.1371/journal.pone.0111218] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2014] [Accepted: 09/29/2014] [Indexed: 11/20/2022] Open
Abstract
Since Feb, 2013, more than 100 human beings had been infected with novel H7N9 avian influenza virus. As of May 2013, several H7N9 viruses had been found in retail live bird markets (LBMs) in Guangdong province of southern China where several human cases were confirmed later. However, the real avian influenza virus infection status especially H7N9 in Guangzhou remains unclear. Therefore, a cross-sectional study of avian influenza in commercial poultry farms, the wholesale LBM and retail LBMs in one district of Guangzhou was conducted from October to November, 2013. A total of 1505 cloacal and environmental samples from 52 commercial poultry farms, 1 wholesale LBM and 18 retail LBMs were collected and detected using real-time RT-PCR for type A, H7, H7N9 and H9 subtype avian influenza virus, respectively. Of all the flocks randomly sampled, 6 farms, 12 vendors of the wholesale LBM and 18 retail LBMs were type A avian influenza virus positive with 0, 3 and 11 positive for H9, respectively. The pooled prevalence and individual prevalence of type A avian influenza virus were 33.9% and 7.9% which for H9 subtype was 7.6% and 1.6%, respectively. None was H7 and H7N9 subtype virus positive. Different prevalence and prevalence ratio were found in different poultry species with partridges having the highest prevalence for both type A and H9 subtype avian influenza virus. Our results suggest that LBM may have a higher risk for sustaining and transmission of avian influenza virus than commercial poultry farms. The present study also indicates that different species may play different roles in the evolution and transmission of avian influenza virus. Therefore, risk-based surveillance and management measures should be conducted in future in this area.
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Abstract
In the years prior to 2013, avian influenza A H7 viruses were a cause of significant poultry mortality; however, human illness was generally mild. In March 2013, a novel influenza A(H7N9) virus emerged in China as an unexpected cause of severe human illness with 36% mortality. Chinese and other public health officials responded quickly, characterizing the virus and identifying more than 400 cases through use of new technologies and surveillance tools made possible by past preparedness and response efforts. Genetic sequencing, glycan-array receptor-binding assays, and ferret studies reveal the H7N9 virus to have increased binding to mammalian respiratory cells and to have mutations associated with higher virus replication rates and illness severity. New risk-assessment tools indicate H7N9 has the potential for further mammalian adaptation with possible human-to-human transmission. Vigilant virologic and epidemiologic surveillance is needed to monitor H7N9 and detect other unexpected novel influenza viruses that may emerge.
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Affiliation(s)
- Daniel B Jernigan
- Influenza Division, National Center for Immunization and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, Georgia 30329; ,
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46
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Watanabe T, Watanabe S, Maher EA, Neumann G, Kawaoka Y. Pandemic potential of avian influenza A (H7N9) viruses. Trends Microbiol 2014; 22:623-31. [PMID: 25264312 DOI: 10.1016/j.tim.2014.08.008] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 08/21/2014] [Accepted: 08/26/2014] [Indexed: 12/30/2022]
Abstract
Avian influenza viruses rarely infect humans, but the recently emerged avian H7N9 influenza viruses have caused sporadic infections in humans in China, resulting in 440 confirmed cases with 122 fatalities as of 16 May 2014. In addition, epidemiologic surveys suggest that there have been asymptomatic or mild human infections with H7N9 viruses. These viruses replicate efficiently in mammals, show limited transmissibility in ferrets and guinea pigs, and possess mammalian-adapting amino acid changes that likely contribute to their ability to infect mammals. In this review, we summarize the characteristic features of the novel H7N9 viruses and assess their pandemic potential.
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Affiliation(s)
- Tokiko Watanabe
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 575 Science Drive, Madison, WI 53711, USA; ERATO Infection-Induced Host Responses Project, Japan Science and Technology Agency, Saitama 332-0012, Japan; Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan
| | - Shinji Watanabe
- ERATO Infection-Induced Host Responses Project, Japan Science and Technology Agency, Saitama 332-0012, Japan; Laboratory of Veterinary Microbiology, Department of Veterinary Sciences, University of Miyazaki, Miyazaki, 889-2192, Japan
| | - Eileen A Maher
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 575 Science Drive, Madison, WI 53711, USA
| | - Gabriele Neumann
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 575 Science Drive, Madison, WI 53711, USA
| | - Yoshihiro Kawaoka
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 575 Science Drive, Madison, WI 53711, USA; ERATO Infection-Induced Host Responses Project, Japan Science and Technology Agency, Saitama 332-0012, Japan; Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan; Department of Special Pathogens, International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Minato-ku, Tokyo 108-8639, Japan.
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47
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H7N9 and other pathogenic avian influenza viruses elicit a three-pronged transcriptomic signature that is reminiscent of 1918 influenza virus and is associated with lethal outcome in mice. J Virol 2014; 88:10556-68. [PMID: 24991006 DOI: 10.1128/jvi.00570-14] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
UNLABELLED Modulating the host response is a promising approach to treating influenza, caused by a virus whose pathogenesis is determined in part by the reaction it elicits within the host. Though the pathogenicity of emerging H7N9 influenza virus in several animal models has been reported, these studies have not included a detailed characterization of the host response following infection. Therefore, we characterized the transcriptomic response of BALB/c mice infected with H7N9 (A/Anhui/01/2013) virus and compared it to the responses induced by H5N1 (A/Vietnam/1203/2004), H7N7 (A/Netherlands/219/2003), and pandemic 2009 H1N1 (A/Mexico/4482/2009) influenza viruses. We found that responses to the H7 subtype viruses were intermediate to those elicited by H5N1 and pdm09H1N1 early in infection but that they evolved to resemble the H5N1 response as infection progressed. H5N1, H7N7, and H7N9 viruses were pathogenic in mice, and this pathogenicity correlated with increased transcription of cytokine response genes and decreased transcription of lipid metabolism and coagulation signaling genes. This three-pronged transcriptomic signature was observed in mice infected with pathogenic H1N1 strains such as the 1918 virus, indicating that it may be predictive of pathogenicity across multiple influenza virus strains. Finally, we used host transcriptomic profiling to computationally predict drugs that reverse the host response to H7N9 infection, and we identified six FDA-approved drugs that could potentially be repurposed to treat H7N9 and other pathogenic influenza viruses. IMPORTANCE Emerging avian influenza viruses are of global concern because the human population is immunologically naive to them. Current influenza drugs target viral molecules, but the high mutation rate of influenza viruses eventually leads to the development of antiviral resistance. As the host evolves far more slowly than the virus, and influenza pathogenesis is determined in part by the host response, targeting the host response is a promising approach to treating influenza. Here we characterize the host transcriptomic response to emerging H7N9 influenza virus and compare it with the responses to H7N7, H5N1, and pdm09H1N1. All three avian viruses were pathogenic in mice and elicited a transcriptomic signature that also occurs in response to the legendary 1918 influenza virus. Our work identifies host responses that could be targeted to treat severe H7N9 influenza and identifies six FDA-approved drugs that could potentially be repurposed as H7N9 influenza therapeutics.
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Gilbert M, Golding N, Zhou H, Wint GRW, Robinson TP, Tatem AJ, Lai S, Zhou S, Jiang H, Guo D, Huang Z, Messina JP, Xiao X, Linard C, Van Boeckel TP, Martin V, Bhatt S, Gething PW, Farrar JJ, Hay SI, Yu H. Predicting the risk of avian influenza A H7N9 infection in live-poultry markets across Asia. Nat Commun 2014; 5:4116. [PMID: 24937647 PMCID: PMC4061699 DOI: 10.1038/ncomms5116] [Citation(s) in RCA: 124] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Accepted: 05/13/2014] [Indexed: 02/06/2023] Open
Abstract
Two epidemic waves of an avian influenza A (H7N9) virus have so far affected China. Most human cases have been attributable to poultry exposure at live-poultry markets, where most positive isolates were sampled. The potential geographic extent of potential re-emerging epidemics is unknown, as are the factors associated with it. Using newly assembled data sets of the locations of 8,943 live-poultry markets in China and maps of environmental correlates, we develop a statistical model that accurately predicts the risk of H7N9 market infection across Asia. Local density of live-poultry markets is the most important predictor of H7N9 infection risk in markets, underscoring their key role in the spatial epidemiology of H7N9, alongside other poultry, land cover and anthropogenic predictor variables. Identification of areas in Asia with high suitability for H7N9 infection enhances our capacity to target biosurveillance and control, helping to restrict the spread of this important disease.
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Affiliation(s)
- Marius Gilbert
- Biological Control and Spatial Ecology, Université Libre de Bruxelles, av FD Roosevelt 50, B-1050 Brussels, Belgium
- Fonds National de la Recherche Scientifique, rue d'Egmont 5, B-1000 Brussels, Belgium
| | - Nick Golding
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Tinbergen Building, South Parks Road, Oxford OX1 3PS, UK
| | - Hang Zhou
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, 102206 Beijing, China
| | - G. R. William Wint
- Environmental Research Group Oxford, Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK
| | - Timothy P. Robinson
- Livestock Systems and Environment (LSE), International Livestock Research Institute (ILRI), Old Naivasha Road, PO Box 30709, 00100 Nairobi, Kenya
| | - Andrew J. Tatem
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA
- Department of Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK
| | - Shengjie Lai
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, 102206 Beijing, China
| | - Sheng Zhou
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, 102206 Beijing, China
| | - Hui Jiang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, 102206 Beijing, China
| | - Danhuai Guo
- Scientific Data Center, Computer Network Information Center, Chinese Academy of Sciences, Zhongguancun Nansijie, Haidian District, 100190 Beijing, China
| | - Zhi Huang
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Tinbergen Building, South Parks Road, Oxford OX1 3PS, UK
| | - Jane P. Messina
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Tinbergen Building, South Parks Road, Oxford OX1 3PS, UK
| | - Xiangming Xiao
- Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, 101 David L. Boren Blvd, Norman, Oklahoma 73019, USA
- Institute of Biodiversity Sciences, Fudan University, 220A Handan Road, Yangpu District, Shanghai 200433, China
| | - Catherine Linard
- Biological Control and Spatial Ecology, Université Libre de Bruxelles, av FD Roosevelt 50, B-1050 Brussels, Belgium
- Fonds National de la Recherche Scientifique, rue d'Egmont 5, B-1000 Brussels, Belgium
| | - Thomas P. Van Boeckel
- Biological Control and Spatial Ecology, Université Libre de Bruxelles, av FD Roosevelt 50, B-1050 Brussels, Belgium
- Fonds National de la Recherche Scientifique, rue d'Egmont 5, B-1000 Brussels, Belgium
| | - Vincent Martin
- Food and Agriculture Organization of the United Nations (FAO), Representation in Senegal, PO Box 3300, Dakar, Senegal
| | - Samir Bhatt
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Tinbergen Building, South Parks Road, Oxford OX1 3PS, UK
| | - Peter W. Gething
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Tinbergen Building, South Parks Road, Oxford OX1 3PS, UK
| | - Jeremy J. Farrar
- Oxford University Clinical Research Unit–Wellcome Trust Major Overseas Unit, 190 Ben Ham Tu, District 5, Ho Chi Minh City, Vietnam
| | - Simon I. Hay
- Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Tinbergen Building, South Parks Road, Oxford OX1 3PS, UK
- Fogarty International Center, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, 102206 Beijing, China
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Ladner JT, Beitzel B, Chain PSG, Davenport MG, Donaldson EF, Frieman M, Kugelman JR, Kuhn JH, O'Rear J, Sabeti PC, Wentworth DE, Wiley MR, Yu GY, Sozhamannan S, Bradburne C, Palacios G. Standards for sequencing viral genomes in the era of high-throughput sequencing. mBio 2014; 5:e01360-14. [PMID: 24939889 PMCID: PMC4068259 DOI: 10.1128/mbio.01360-14] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Thanks to high-throughput sequencing technologies, genome sequencing has become a common component in nearly all aspects of viral research; thus, we are experiencing an explosion in both the number of available genome sequences and the number of institutions producing such data. However, there are currently no common standards used to convey the quality, and therefore utility, of these various genome sequences. Here, we propose five "standard" categories that encompass all stages of viral genome finishing, and we define them using simple criteria that are agnostic to the technology used for sequencing. We also provide genome finishing recommendations for various downstream applications, keeping in mind the cost-benefit trade-offs associated with different levels of finishing. Our goal is to define a common vocabulary that will allow comparison of genome quality across different research groups, sequencing platforms, and assembly techniques.
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Affiliation(s)
- Jason T Ladner
- Center for Genome Sciences, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, Maryland, USA
| | - Brett Beitzel
- Center for Genome Sciences, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, Maryland, USA
| | - Patrick S G Chain
- Bioinformatics and Analytics Team, Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
| | - Matthew G Davenport
- National Security Systems Biology Center, Asymmetric Operations Sector, Johns Hopkins University, Applied Physics Laboratory, Laurel, Maryland, USA
| | - Eric F Donaldson
- U.S. Food and Drug Administration, Silver Spring, Maryland, USA Filovirus Animal Nonclinical Group (FANG) Well Characterized Challenge Material Working Group
| | - Matthew Frieman
- Department of Microbiology and Immunology, University of Maryland at Baltimore, Baltimore, Maryland, USA
| | - Jeffrey R Kugelman
- Center for Genome Sciences, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, Maryland, USA
| | - Jens H Kuhn
- Filovirus Animal Nonclinical Group (FANG) Well Characterized Challenge Material Working Group Integrated Research Facility at Fort Detrick, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Fort Detrick, Frederick, Maryland, USA
| | - Jules O'Rear
- U.S. Food and Drug Administration, Silver Spring, Maryland, USA Filovirus Animal Nonclinical Group (FANG) Well Characterized Challenge Material Working Group
| | | | | | - Michael R Wiley
- Center for Genome Sciences, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, Maryland, USA
| | - Guo-Yun Yu
- Center for Genome Sciences, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, Maryland, USA
| | | | - Christopher Bradburne
- National Security Systems Biology Center, Asymmetric Operations Sector, Johns Hopkins University, Applied Physics Laboratory, Laurel, Maryland, USA
| | - Gustavo Palacios
- Center for Genome Sciences, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, Maryland, USA Filovirus Animal Nonclinical Group (FANG) Well Characterized Challenge Material Working Group
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50
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Liu Q, Cao L, Zhu XQ. Major emerging and re-emerging zoonoses in China: a matter of global health and socioeconomic development for 1.3 billion. Int J Infect Dis 2014; 25:65-72. [PMID: 24858904 PMCID: PMC7110807 DOI: 10.1016/j.ijid.2014.04.003] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2014] [Revised: 03/27/2014] [Accepted: 04/08/2014] [Indexed: 01/18/2023] Open
Abstract
Emerging and re-emerging zoonoses are a significant public health concern and cause considerable socioeconomic problems globally. The emergence of severe acute respiratory syndrome (SARS), highly pathogenic avian influenza (HPAI) H5N1, avian influenza H7N9, and severe fever with thrombocytopenia syndrome (SFTS), and the re-emergence of rabies, brucellosis, and other zoonoses have had a significant effect on the national economy and public health in China, and have affected other countries. Contributing factors that continue to affect emerging and re-emerging zoonoses in China include social and environmental factors and microbial evolution, such as population growth, urbanization, deforestation, livestock production, food safety, climate change, and pathogen mutation. The Chinese government has devised new strategies and has taken measures to deal with the challenges of these diseases, including the issuing of laws and regulations, establishment of disease reporting systems, implementation of special projects for major infectious diseases, interdisciplinary and international cooperation, exotic disease surveillance, and health education. These strategies and measures can serve as models for the surveillance and response to continuing threats from emerging and re-emerging zoonoses in other countries.
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Affiliation(s)
- Quan Liu
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China; Military Veterinary Institute, Academy of Military Medical Sciences, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China
| | - Lili Cao
- Military Veterinary Institute, Academy of Military Medical Sciences, Key Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, China; Jilin Academy of Animal Husbandry and Veterinary Medicine, Changchun, China
| | - Xing-Quan Zhu
- State Key Laboratory of Veterinary Etiological Biology, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.
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