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Naiqing X, Tang X, Wang X, Cai M, Liu X, Lu X, Hu S, Gu M, Hu J, Gao R, Liu K, Chen Y, Liu X, Wang X. Hemagglutinin affects replication, stability and airborne transmission of the H9N2 subtype avian influenza virus. Virology 2024; 589:109926. [PMID: 37952465 DOI: 10.1016/j.virol.2023.109926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/19/2023] [Accepted: 10/30/2023] [Indexed: 11/14/2023]
Abstract
H9N2 subtype avian influenza virus (AIV) can transmit by direct as well as airborne contacts. It has been widespread in poultry and continued to contribute to zoonotic spillover events by providing its six internal genes for the reassortment of novel influenza viruses (eg, H7N9) that infect poultry and humans. Compared to H7N9, H9N2 virus displays an efficient airborne transmissibility in poultry, but the mechanisms of transmission difference have been insufficiently studied. The Hemagglutinin (HA) and viral polymerase acidic protein (PA) have been implicated in the airborne transmission of influenza A viruses. Accordingly, we generated the reassortant viruses of circulating airborne transmissible H9N2 and non-airborne transmissible H7N9 viruses carrying HA and/or PA gene. The introduction of the PA gene from H7N9 into the genome of H9N2 virus resulted in a reduction in airborne transmission among chickens, while the isolated introduction of the HA gene segment completely eliminated airborne transmission among chickens. We further showed that introduction of HA gene of non-transmissible H7N9 did not influence the HA/NA balance of H9N2 virus, but increased the threshold for membrane fusion and decreased the acid stability. Thus, our results indicate that HA protein plays a key role in replication, stability, and airborne transmission of the H9N2 subtype AIV.
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Affiliation(s)
- Xu Naiqing
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China.
| | - Xinen Tang
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China.
| | - Xin Wang
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China.
| | - Miao Cai
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China.
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Xiaolong Lu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Shunlin Hu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Min Gu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Jiao Hu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Ruyi Gao
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Kaituo Liu
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China; Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China.
| | - Yu Chen
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, School of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou, Jiangsu, China; Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
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Zhang F, Shang J, Luo J, Yin X, Yu X, Jiang W, Li J, Yuan L, Hou G, Liu H, Li Y. Development of a recombinase-aided amplification combined with a lateral flow dipstick assay for rapid detection of H7 subtype avian influenza virus. Front Microbiol 2023; 14:1286713. [PMID: 38029110 PMCID: PMC10654746 DOI: 10.3389/fmicb.2023.1286713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
Avian influenza viruses (AIV) pose a significant persistent threat to the public health and safety. It is estimated that there have been over 100 outbreaks caused by various H7 subtypes of avian influenza viruses (AIV-H7) worldwide, resulting in over 33 million deaths of poultry. In this study, we developed a recombinase-aided amplification combined with a lateral flow dipstick assay for the detection of hemagglutinin (HA) genes to provide technical support for rapid clinical detection of AIV-H7. The results showed that the assay can complete the reaction within 30 min at a temperature of 39°C. Specificity tests demonstrated that there was no cross-reactivity with other common poultry pathogens, including Newcastle disease virus (NDV) and infections bronchitis virus (IBV). The detection limit of this assay was 1 × 101 copies/μL, while RT-qPCR method was 1 × 101 copies/μL, and RT-PCR was 1 × 102 copies/μL. The κ value of the RT-RAA-LFD and RT-PCR assay in 132 avian clinical samples was 0.9169 (p < 0.001). These results indicated that the developed RT-RAA-LFD assay had good specificity, sensitivity, stability and repeatability and may be used for rapid detection of AIV-H7 in clinical diagnosis.
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Affiliation(s)
- Fuyou Zhang
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Jiajing Shang
- China Animal Health and Epidemiology Center, Qingdao, China
- Hebei University of Engineering, Handan, China
| | - Juan Luo
- China Animal Health and Epidemiology Center, Qingdao, China
- Hebei University of Engineering, Handan, China
| | - Xin Yin
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Xiaohui Yu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Wenming Jiang
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Jinping Li
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Liping Yuan
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Guangyu Hou
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Hualei Liu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Yang Li
- China Animal Health and Epidemiology Center, Qingdao, China
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Kim S, Carrel M, Kitchen A. Spatial genetic structure of 2009 H1N1 pandemic influenza established as a result of interaction with human populations in mainland China. PLoS One 2023; 18:e0284716. [PMID: 37196010 PMCID: PMC10191359 DOI: 10.1371/journal.pone.0284716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 04/06/2023] [Indexed: 05/19/2023] Open
Abstract
Identifying the spatial patterns of genetic structure of influenza A viruses is a key factor for understanding their spread and evolutionary dynamics. In this study, we used phylogenetic and Bayesian clustering analyses of genetic sequences of the A/H1N1pdm09 virus with district-level locations in mainland China to investigate the spatial genetic structure of the A/H1N1pdm09 virus across human population landscapes. Positive correlation between geographic and genetic distances indicates high degrees of genetic similarity among viruses within small geographic regions but broad-scale genetic differentiation, implying that local viral circulation was a more important driver in the formation of the spatial genetic structure of the A/H1N1pdm09 virus than even, countrywide viral mixing and gene flow. Geographic heterogeneity in the distribution of genetic subpopulations of A/H1N1pdm09 virus in mainland China indicates both local to local transmission as well as broad-range viral migration. This combination of both local and global structure suggests that both small-scale and large-scale population circulation in China is responsible for viral genetic structure. Our study provides implications for understanding the evolution and spread of A/H1N1pdm09 virus across the population landscape of mainland China, which can inform disease control strategies for future pandemics.
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Affiliation(s)
- Seungwon Kim
- Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, Iowa, United States of America
| | - Margaret Carrel
- Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, Iowa, United States of America
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, United States of America
| | - Andrew Kitchen
- Department of Anthropology, University of Iowa, Iowa City, Iowa, United States of America
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He D, Wang X, Wu H, Wang X, Yan Y, Li Y, Zhan T, Hao X, Hu J, Hu S, Liu X, Ding C, Su S, Gu M, Liu X. Genome-Wide Reassortment Analysis of Influenza A H7N9 Viruses Circulating in China during 2013-2019. Viruses 2022; 14:v14061256. [PMID: 35746727 PMCID: PMC9230085 DOI: 10.3390/v14061256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 05/29/2022] [Accepted: 06/06/2022] [Indexed: 11/16/2022] Open
Abstract
Reassortment with the H9N2 virus gave rise to the zoonotic H7N9 avian influenza virus (AIV), which caused more than five outbreak waves in humans, with high mortality. The frequent exchange of genomic segments between H7N9 and H9N2 has been well-documented. However, the reassortment patterns have not been described and are not yet fully understood. Here, we used phylogenetic analyses to investigate the patterns of intersubtype and intrasubtype/intralineage reassortment across the eight viral segments. The H7N9 virus and its progeny frequently exchanged internal genes with the H9N2 virus but rarely with the other AIV subtypes. Before beginning the intrasubtype/intralineage reassortment analyses, five Yangtze River Delta (YRD A-E) and two Pearl River Delta (PRD A-B) clusters were divided according to the HA gene phylogeny. The seven reset segment genes were also nomenclatured consistently. As revealed by the tanglegram results, high intralineage reassortment rates were determined in waves 2–3 and 5. Additionally, the clusters of PB2 c05 and M c02 were the most dominant in wave 5, which could have contributed to the onset of the largest H7N9 outbreak in 2016–2017. Meanwhile, a portion of the YRD-C cluster (HP H7N9) inherited their PB2, PA, and M segments from the co-circulating YRD-E (LP H7N9) cluster during wave 5. Untanglegram results revealed that the reassortment rate between HA and NA was lower than HA with any of the other six segments. A multidimensional scaling plot revealed a robust genetic linkage between the PB2 and PA genes, indicating that they may share a co-evolutionary history. Furthermore, we observed relatively more robust positive selection pressure on HA, NA, M2, and NS1 proteins. Our findings demonstrate that frequent reassortment, particular reassorted patterns, and adaptive mutations shaped the H7N9 viral genetic diversity and evolution. Increased surveillance is required immediately to better understand the current state of the HP H7N9 AIV.
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Affiliation(s)
- Dongchang He
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiyue Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Huiguang Wu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiaoquan Wang
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Yayao Yan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Yang Li
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Tiansong Zhan
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Xiaoli Hao
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
| | - Jiao Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Shunlin Hu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Xiaowen Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
| | - Chan Ding
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Department of Avian Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Shuo Su
- College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China;
| | - Min Gu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Correspondence: (M.G.); (X.L.)
| | - Xiufan Liu
- Animal Infectious Disease Laboratory, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (D.H.); (X.W.); (H.W.); (X.W.); (Y.Y.); (Y.L.); (T.Z.); (X.H.); (J.H.); (S.H.); (X.L.)
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonosis, Yangzhou University, Yangzhou 225009, China;
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China
- Correspondence: (M.G.); (X.L.)
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Coinfection of Chickens with H9N2 and H7N9 Avian Influenza Viruses Leads to Emergence of Reassortant H9N9 Virus with Increased Fitness for Poultry and a Zoonotic Potential. J Virol 2022; 96:e0185621. [PMID: 35019727 PMCID: PMC8906417 DOI: 10.1128/jvi.01856-21] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
An H7N9 low-pathogenicity avian influenza virus (LPAIV) emerged in 2013 through genetic reassortment between H9N2 and other LPAIVs circulating in birds in China. This virus causes inapparent clinical disease in chickens, but zoonotic transmission results in severe and fatal disease in humans. To examine a natural reassortment scenario between H7N9 and G1 lineage H9N2 viruses predominant in the Indian subcontinent, we performed an experimental coinfection of chickens with A/Anhui/1/2013/H7N9 (Anhui/13) virus and A/Chicken/Pakistan/UDL-01/2008/H9N2 (UDL/08) virus. Plaque purification and genotyping of the reassortant viruses shed via the oropharynx of contact chickens showed H9N2 and H9N9 as predominant subtypes. The reassortant viruses shed by contact chickens also showed selective enrichment of polymerase genes from H9N2 virus. The viable "6+2" reassortant H9N9 (having nucleoprotein [NP] and neuraminidase [NA] from H7N9 and the remaining genes from H9N2) was successfully shed from the oropharynx of contact chickens, plus it showed an increased replication rate in human A549 cells and a significantly higher receptor binding to α2,6 and α2,3 sialoglycans compared to H9N2. The reassortant H9N9 virus also had a lower fusion pH, replicated in directly infected ferrets at similar levels compared to H7N9 and transmitted via direct contact. Ferrets exposed to H9N9 via aerosol contact were also found to be seropositive, compared to H7N9 aerosol contact ferrets. To the best of our knowledge, this is the first study demonstrating that cocirculation of H7N9 and G1 lineage H9N2 viruses could represent a threat for the generation of novel reassortant H9N9 viruses with greater virulence in poultry and a zoonotic potential. IMPORTANCE We evaluated the consequences of reassortment between the H7N9 and the contemporary H9N2 viruses of the G1 lineage that are enzootic in poultry across the Indian subcontinent and the Middle East. Coinfection of chickens with these viruses resulted in the emergence of novel reassortant H9N9 viruses with genes derived from both H9N2 and H7N9 viruses. The "6+2" reassortant H9N9 (having NP and NA from H7N9) virus was shed from contact chickens in a significantly higher proportion compared to most of the reassortant viruses, showed significantly increased replication fitness in human A549 cells, receptor binding toward human (α2,6) and avian (α2,3) sialic acid receptor analogues, and the potential to transmit via contact among ferrets. This study demonstrated the ability of viruses that already exist in nature to exchange genetic material, highlighting the potential emergence of viruses from these subtypes with zoonotic potential.
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Wang S, Jiang N, Shi W, Yin H, Chi X, Xie Y, Hu J, Zhang Y, Li H, Chen JL. Co-infection of H9N2 Influenza A Virus and Escherichia coli in a BALB/c Mouse Model Aggravates Lung Injury by Synergistic Effects. Front Microbiol 2021; 12:670688. [PMID: 33968006 PMCID: PMC8097157 DOI: 10.3389/fmicb.2021.670688] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 03/30/2021] [Indexed: 12/24/2022] Open
Abstract
Pathogens that cause respiratory diseases in poultry are highly diversified, and co-infections with multiple pathogens are prevalent. The H9N2 strain of avian influenza virus (AIV) and Escherichia coli (E. coli) are common poultry pathogens that limit the development of the poultry industry. This study aimed to clarify the interaction between these two pathogens and their pathogenic mechanism using a mouse model. Co-infection with H9N2 AIV and E. coli significantly increased the mortality rate of mice compared to single viral or bacterial infections. It also led to the development of more severe lung lesions compared to single viral or bacterial infections. Co-infection further causes a storm of cytokines, which aggravates the host's disease by dysregulating the JAK/STAT/SOCS and ERK1/2 pathways. Moreover, co-infection mutually benefited the virus and the bacteria by increasing their pathogen loads. Importantly, nitric oxide synthase 2 (NOS2) expression was also significantly enhanced by the co-infection. It played a key role in the rapid proliferation of E. coli in the presence of the co-infecting H9N2 virus. Therefore, our study underscores the role of NOS2 as a determinant for bacteria growth and illustrates its importance as an additional mechanism that enhances influenza virus-bacteria synergy. It further provides a scientific basis for investigating the synergistic infection mechanism between viruses and bacteria.
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Bai R, Sikkema RS, Munnink BBO, Li CR, Wu J, Zou L, Jing Y, Lu J, Yuan RY, Liao M, Koopmans M, Ke CW. Exploring utility of genomic epidemiology to trace origins of highly pathogenic influenza A/H7N9 in Guangdong. Virus Evol 2021; 6:veaa097. [PMID: 33391821 PMCID: PMC7758296 DOI: 10.1093/ve/veaa097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The first highly pathogenic (HP) influenza A/H7N9 was reported in Guangdong in January 2017. To investigate the emergence and spread of HP A/H7N9 in Guangdong province, we sequenced 297 viruses (58 HP A/H7N9, 19 low pathogenic (LP) A/H7N9, and 220 A/H9N2) during 2016–2017. Our analysis showed that during the fifth wave, three A/H7N9 lineages were co-circulating in Guangdong: the local LP Pearl River Delta (PRD) lineage (13%), the newly imported LP Yangtze River Delta (YRD) lineage (23%), and the HP YRD lineage (64%). Previously circulating YRD-lineage LP during the third wave evolved to the YRD-lineage HP A/H7N9 in Guangdong. All YRD-lineage LP detected during the fifth wave most likely originated from newly imported viruses into Guangdong. Genotype comparison of HP A/H7N9 suggests limited outward spread of HP A/H7N9 to other provinces. The distribution of HP A/H7N9 cleavage site variants on live poultry markets differed from that found in humans, suggesting a V1-type cleavage site may facilitate human infections.
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Affiliation(s)
| | - Reina S Sikkema
- Department of Viroscience, Erasmus University Medical Center, P.O. Box 2040, 3000CA Rotterdam, The Netherlands
| | - Bas B Oude Munnink
- Department of Viroscience, Erasmus University Medical Center, P.O. Box 2040, 3000CA Rotterdam, The Netherlands
| | - Cong Rong Li
- Biosafety Laboratory, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jie Wu
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Lirong Zou
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Yi Jing
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Jing Lu
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Run Yu Yuan
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Ming Liao
- Biosafety Laboratory, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Marion Koopmans
- Department of Viroscience, Erasmus University Medical Center, P.O. Box 2040, 3000CA Rotterdam, The Netherlands
| | - Chang-Wen Ke
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
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Hood G, Roche X, Brioudes A, von Dobschuetz S, Fasina FO, Kalpravidh W, Makonnen Y, Lubroth J, Sims L. A literature review of the use of environmental sampling in the surveillance of avian influenza viruses. Transbound Emerg Dis 2021; 68:110-126. [PMID: 32652790 PMCID: PMC8048529 DOI: 10.1111/tbed.13633] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 05/07/2020] [Accepted: 05/13/2020] [Indexed: 02/05/2023]
Abstract
This literature review provides an overview of use of environmental samples (ES) such as faeces, water, air, mud and swabs of surfaces in avian influenza (AI) surveillance programs, focussing on effectiveness, advantages and gaps in knowledge. ES have been used effectively for AI surveillance since the 1970s. Results from ES have enhanced understanding of the biology of AI viruses in wild birds and in markets, of links between human and avian influenza, provided early warning of viral incursions, allowed assessment of effectiveness of control and preventive measures, and assisted epidemiological studies in outbreaks, both avian and human. Variation exists in the methods and protocols used, and no internationally recognized guidelines exist on the use of ES and data management. Few studies have performed direct comparisons of ES versus live bird samples (LBS). Results reported so far demonstrate reliance on ES will not be sufficient to detect virus in all cases when it is present, especially when the prevalence of infection/contamination is low. Multiple sample types should be collected. In live bird markets, ES from processing/selling areas are more likely to test positive than samples from bird holding areas. When compared to LBS, ES is considered a cost-effective, simple, rapid, flexible, convenient and acceptable way of achieving surveillance objectives. As a non-invasive technique, it can minimize effects on animal welfare and trade in markets and reduce impacts on wild bird communities. Some limitations of environmental sampling methods have been identified, such as the loss of species-specific or information on the source of virus, and taxonomic-level analyses, unless additional methods are applied. Some studies employing ES have not provided detailed methods. In others, where ES and LBS are collected from the same site, positive results have not been assigned to specific sample types. These gaps should be remedied in future studies.
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Affiliation(s)
- Grace Hood
- Food and Agriculture Organization of the United NationsRomeItaly
| | - Xavier Roche
- Food and Agriculture Organization of the United NationsRomeItaly
| | - Aurélie Brioudes
- Food and Agriculture Organization of the United NationsRegional Office for Asia and the PacificBangkokThailand
| | | | | | | | - Yilma Makonnen
- Food and Agriculture Organization of the United Nations, Sub-Regional Office for Eastern AfricaAddis AbabaEthiopia
| | - Juan Lubroth
- Food and Agriculture Organization of the United NationsRomeItaly
| | - Leslie Sims
- Asia Pacific Veterinary Information ServicesMelbourneAustralia
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9
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Martelli P, Teng JLL, Lee FK, Yeong KY, Fong JYH, Hui SW, Chan KH, Lau SKP, Woo PCY. Influenza A(H1N1)pdm09 Virus Infection in a Captive Giant Panda, Hong Kong. Emerg Infect Dis 2020; 25:2303-2306. [PMID: 31742520 PMCID: PMC6874238 DOI: 10.3201/eid2512.191143] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
We report influenza A(H1N1)pdm09 virus infection in a captive giant panda in Hong Kong. The viral load peaked on day 1 and became undetectable on day 5, and an antibody response developed. Genome analysis showed 99.3%-99.9% nucleotide identity between the virus and influenza A(H1N1)pdm09 virus circulating in Hong Kong.
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10
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Yi L, Zou L, Peng J, Yu J, Song Y, Liang L, Guo Q, Kang M, Ke C, Song T, Lu J, Wu J. Epidemiology, evolution and transmission of human metapneumovirus in Guangzhou China, 2013-2017. Sci Rep 2019; 9:14022. [PMID: 31575919 PMCID: PMC6773679 DOI: 10.1038/s41598-019-50340-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 09/09/2019] [Indexed: 12/28/2022] Open
Abstract
Human metapneumovirus (hMPV), first identified in 2001, is a major viral respiratory pathogen that worldwide reported. Fundamental questions concerning the dynamics of viral evolution and transmission at both regional and global scales remain unanswered. In this study, we obtained 32 G gene and 51 F gene sequences of hMPV in Guangzhou, China in 2013–2017. Temporal and spatial phylogenetic analyses were undertaken by incorporating publicly available hMPV G gene (978) and F gene (767) sequences. The phylogenetic results show different global distribution patterns of hMPV before 1990, 1990–2005, and 2006–2017. A sharply increasing hMPV positive rate (11%) was detected in Guangzhou 2017, mainly caused by the B1 lineage of hMPV. A close phylogenetic relation was observed between hMPV strains from China and Japan, suggesting frequent hMPV transmissions between these regions. These results provide new insights into hMPV evolution, transmission, and spatial distribution and highlight Asia as a new epicenter for viral transmission and novel variant seeding after the year 2005. Conducting molecular surveillance of hMPV in Asian countries is critical for understanding the global circulation of hMPV and future vaccine design.
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Affiliation(s)
- Lina Yi
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China.,Guangdong Provincial Institute of Public Health, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Lirong Zou
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Jingju Peng
- Southern Medical University, No. 1838, Shatai Road, Baiyun District, Guangzhou, People's Republic of China
| | - Jianxiang Yu
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Yingchao Song
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Lijun Liang
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Qianfang Guo
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Min Kang
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Changwen Ke
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Tie Song
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China
| | - Jing Lu
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China. .,Guangdong Provincial Institute of Public Health, No. 160, Qunxian Road, Panyu District, Guangzhou, China. .,Southern Medical University, No. 1838, Shatai Road, Baiyun District, Guangzhou, People's Republic of China.
| | - Jie Wu
- Guangdong Provincial Center for Disease Control and Prevention, No. 160, Qunxian Road, Panyu District, Guangzhou, China.
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11
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Lu J, Raghwani J, Pryce R, Bowden TA, Thézé J, Huang S, Song Y, Zou L, Liang L, Bai R, Jing Y, Zhou P, Kang M, Yi L, Wu J, Pybus OG, Ke C. Molecular Evolution, Diversity, and Adaptation of Influenza A(H7N9) Viruses in China. Emerg Infect Dis 2019; 24:1795-1805. [PMID: 30226157 PMCID: PMC6154164 DOI: 10.3201/eid2410.171063] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
The substantial increase in prevalence and emergence of antigenically divergent or highly pathogenic influenza A(H7N9) viruses during 2016–17 raises concerns about the epizootic potential of these viruses. We investigated the evolution and adaptation of H7N9 viruses by analyzing available data and newly generated virus sequences isolated in Guangdong Province, China, during 2015–2017. Phylogenetic analyses showed that circulating H7N9 viruses belong to distinct lineages with differing spatial distributions. Hemagglutination inhibition assays performed on serum samples from patients infected with these viruses identified 3 antigenic clusters for 16 strains of different virus lineages. We used ancestral sequence reconstruction to identify parallel amino acid changes on multiple separate lineages. We inferred that mutations in hemagglutinin occur primarily at sites involved in receptor recognition or antigenicity. Our results indicate that highly pathogenic strains likely emerged from viruses circulating in eastern Guangdong Province during March 2016 and are associated with a high rate of adaptive molecular evolution.
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MESH Headings
- Amino Acid Sequence
- Animals
- Antigenic Variation
- Birds
- China/epidemiology
- Evolution, Molecular
- Genetic Variation
- Genome, Viral
- Genotype
- Geography, Medical
- History, 21st Century
- Humans
- Influenza A Virus, H7N9 Subtype/classification
- Influenza A Virus, H7N9 Subtype/genetics
- Influenza A Virus, H7N9 Subtype/immunology
- Influenza A Virus, H7N9 Subtype/isolation & purification
- Influenza in Birds/epidemiology
- Influenza in Birds/history
- Influenza in Birds/virology
- Influenza, Human/epidemiology
- Influenza, Human/history
- Influenza, Human/virology
- Phylogeny
- RNA, Viral
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12
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Wu J, Ke C, Lau EH, Song Y, Cheng KL, Zou L, Kang M, Song T, Peiris M, Yen HL. Influenza H5/H7 Virus Vaccination in Poultry and Reduction of Zoonotic Infections, Guangdong Province, China, 2017-18. Emerg Infect Dis 2019; 25:116-118. [PMID: 30355435 PMCID: PMC6302570 DOI: 10.3201/eid2501.181259] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
We compared the detection frequency of avian influenza H7 subtypes at live poultry markets in Guangdong Province, China, before and after the introduction of a bivalent H5/H7 vaccine in poultry. The vaccine was associated with a 92% reduction in H7 positivity rates among poultry and a 98% reduction in human H7N9 cases.
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13
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Wu J, Ke C, Lau EH, Song Y, Cheng KL, Zou L, Kang M, Song T, Peiris M, Yen HL. Influenza H5/H7 Virus Vaccination in Poultry and Reduction of Zoonotic Infections, Guangdong Province, China, 2017–18. Emerg Infect Dis 2019. [DOI: 10.3201/eid2501181259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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14
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Nerome K, Shimizu K, Zukeran S, Igarashi Y, Kuroda K, Sugita S, Shibata T, Ito Y, Nerome R. Functional growth inhibition of influenza A and B viruses by liquid and powder components of leaves from the subtropical plant Melia azedarach L. Arch Virol 2018; 163:2099-2109. [PMID: 29633076 PMCID: PMC6096724 DOI: 10.1007/s00705-018-3830-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 02/21/2018] [Indexed: 11/28/2022]
Abstract
We evaluated the anti-influenza-virus effects of Melia components and discuss the utility of these components. The effects of leaf components of Melia azedarach L. on viruses were examined, and plaque inhibition tests were performed. The in vivo efficacy of M. azedarach L. was tested in a mouse model. Leaf components of Melia azedarach L. markedly inhibited the growth of various influenza viruses. In an initial screening, multiplication and haemagglutination (HA) activities of H1N1, H3N2, H5, and B influenza viruses were inactivated by the liquid extract of leaves of M. azedarach L. (MLE). Furthermore, plaque inhibition titres of H1N1, H3N2, and B influenza viruses treated with MLE ranged from 103.7 to 104.2. MLE possessed high plaque-inhibitory activity against pandemic avian H5N1, H7N9, and H9N2 vaccine candidate strains, with a plaque inhibition titre of more than 104.2. Notably, the buoyant density decreased from 1.175 to 1.137 g/cm3, and spikeless particles appeared. We identified four anti-influenza virus substances: pheophorbide b, pheophorbide a, pyropheophorbide a, and pheophytin a. Photomorphogenesis inside the envelope may lead to removal of HA and neuraminidase spikes from viruses. Thus, MLE could efficiently remove floating influenza virus in the air space without toxicity. Consistent with this finding, intranasal administration of MLE in mice significantly decreased the occurrence of pneumonia. Additionally, leaf powder of Melia (MLP) inactivated influenza viruses and viruses in the intestines of chickens. MLE and MLP may have applications as novel, safe biological disinfectants for use in humans and poultry.
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Affiliation(s)
- Kuniaki Nerome
- The Institute of Biological Resources, 893-2, Nakayama, Nago-shi, Okinawa, 905-0004, Japan.
| | - Kazufumi Shimizu
- Division of Microbiology, Nihon University School of Medicine, 30-1, Oyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Shiori Zukeran
- The Institute of Biological Resources, 893-2, Nakayama, Nago-shi, Okinawa, 905-0004, Japan
| | - Yasuhiro Igarashi
- Biotechnology Research Center and Department of Biotechnology, Faculty of Engineering, Toyama Prefectural University, 5180 Kurokawa, Imizu-shi, Toyama, 939-0398, Japan
| | - Kazumichi Kuroda
- Division of Microbiology, Nihon University School of Medicine, 30-1, Oyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Shigeo Sugita
- Equine Research Institute, Japan Racing Association, 1400-4, Shiba, Shimotsuke-shi, Tochigi, 329-0412, Japan
| | - Toshikatsu Shibata
- Division of Gastroenterology and Hepatology, Nihon University School of Medicine, 30-1, Oyaguchi-kamicho, Itabashi-ku, Tokyo, 173-8610, Japan
| | - Yasuhiko Ito
- Department of Biomedical Sciences (Graduate School), College of Life and Health Sciences, Chubu University, 1200, Matsumoto-cho, Kasugai, Aichi, 487-6501, Japan
| | - Reiko Nerome
- The Institute of Biological Resources, 893-2, Nakayama, Nago-shi, Okinawa, 905-0004, Japan
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15
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Li R, Zhang T, Bai Y, Li H, Wang Y, Bi Y, Chang J, Xu B. Live Poultry Trading Drives China's H7N9 Viral Evolution and Geographical Network Propagation. Front Public Health 2018; 6:210. [PMID: 30140667 PMCID: PMC6094976 DOI: 10.3389/fpubh.2018.00210] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 07/09/2018] [Indexed: 01/02/2023] Open
Abstract
The on-going reassortment, human-adapted mutations, and spillover events of novel A(H7N9) avian influenza viruses pose a significant challenge to public health in China and globally. However, our understanding of the factors that disseminate the viruses and drive their geographic distributions is limited. We applied phylogenic analysis to examine the inter-subtype interactions between H7N9 viruses and the closest H9N2 lineages in China during 2010-2014. We reconstructed and compared the inter-provincial live poultry trading and viral propagation network via phylogeographic approach and network similarity technique. The substitution rates of the isolated viruses in live poultry markets and the characteristics of localized viral evolution were also evaluated. We discovered that viral propagation was geographically-structured and followed the live poultry trading network in China, with distinct north-to-east paths of spread and circular transmission between eastern and southern regions. The epicenter of H7N9 has moved from the Shanghai-Zhejiang region to Guangdong Province was also identified. Besides, higher substitution rate was observed among isolates sampled from live poultry markets, especially for those H7N9 viruses. Live poultry trading in China may have driven the network-structured expansion of the novel H7N9 viruses. From this perspective, long-distance geographic expansion of H7N9 were dominated by live poultry movements, while at local scales, diffusion was facilitated by live poultry markets with highly-evolved viruses.
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Affiliation(s)
- Ruiyun Li
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science Beijing Normal University, Beijing, China
| | - Tao Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science Tsinghua University, Beijing, China
| | - Yuqi Bai
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science Tsinghua University, Beijing, China
| | | | - Yong Wang
- Chinese Academy of Surveying and Mapping Beijing, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology Chinese Academy of Sciences, Beijing, China
| | - Jianyu Chang
- College of Veterinary Medicine China Agricultural University, Beijing, China
| | - Bing Xu
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science Beijing Normal University, Beijing, China.,Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science Tsinghua University, Beijing, China
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16
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Overexpression of a virus-like particle influenza vaccine in Eri silkworm pupae, using Autographa californica nuclear polyhedrosis virus and host-range expansion. Arch Virol 2018; 163:2787-2797. [PMID: 30027487 DOI: 10.1007/s00705-018-3941-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 06/28/2018] [Indexed: 12/26/2022]
Abstract
Ecological investigations of silkworms have revealed that Eri silkworms (Samia cynthia ricini) possess useful morphological and ecological characteristics for virus-like particle (VLP) production, namely non-seasonal breeding, longer lengths, and heavier weights than Bombyx mori silkworms. Furthermore, when vector DNA from Bombyx mori nuclear polyhedrosis virus (BmNPV), which is unable to replicate in Sf9 cells from Eri silkworms, was replaced with the Autographa californica nuclear polyhedrosis virus (AcNPV) vector, three improved AcNPV influenza virus recombinants capable of replication in Sf9 cells were obtained. Although VLP antigens produced previously in silkworms were not evaluated individually, the present recombinant Fukushima (FkH5) and Anhui (AnH7) VLP antigens were detected in tissue fluids and fat bodies of Eri silkworms. Here, we aimed to determine the function of the AcNPV vector and P143 gene by expressing recombinants in Sf9 cells and eri silkworm pupae. The FkH5 recombinant produced high yields of haemagglutinin (HA)-positive VLPs, showing a mean HA titre of 1.2 million. Similarly, high production of H7 HA VLPs was observed in the fat bodies of eri silkworm pupae. Antigenic analysis and electron microscopy examination of Eri-silkworm-produced H5 HA VLPs showed characteristic antigenicity and morphology similar to those of the influenza virus. Although FkH5 recombinants possessing the AcNPV vector did not replicate in Bm-N cells, the introduction of the helicase p143 gene from BmNPV resulted in their production in Bm-N and Sf9 cells.
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17
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Wu J, Lu J, Faria NR, Zeng X, Song Y, Zou L, Yi L, Liang L, Ni H, Kang M, Zhang X, Huang G, Zhong H, Bowden TA, Raghwani J, He J, He X, Lin J, Koopmans M, Pybus OG, Ke C. Effect of Live Poultry Market Interventions on Influenza A(H7N9) Virus, Guangdong, China. Emerg Infect Dis 2018; 22:2104-2112. [PMID: 27869613 PMCID: PMC5189139 DOI: 10.3201/eid2212.160450] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Since March 2013, three waves of human infection with avian influenza A(H7N9) virus have been detected in China. To investigate virus transmission within and across epidemic waves, we used surveillance data and whole-genome analysis of viruses sampled in Guangdong during 2013-2015. We observed a geographic shift of human A(H7N9) infections from the second to the third waves. Live poultry market interventions were undertaken in epicenter cities; however, spatial phylogenetic analysis indicated that the third-wave outbreaks in central Guangdong most likely resulted from local virus persistence rather than introduction from elsewhere. Although the number of clinical cases in humans declined by 35% from the second to the third waves, the genetic diversity of third-wave viruses in Guangdong increased. Our results highlight the epidemic risk to a region reporting comparatively few A(H7N9) cases. Moreover, our results suggest that live-poultry market interventions cannot completely halt A(H7N9) virus persistence and dissemination.
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18
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Lee N, Cao B, Ke C, Lu H, Hu Y, Tam CHT, Ma RCW, Guan D, Zhu Z, Li H, Lin M, Wong RYK, Yung IMH, Hung TN, Kwok K, Horby P, Hui DSC, Chan MCW, Chan PKS. IFITM3, TLR3, and CD55 Gene SNPs and Cumulative Genetic Risks for Severe Outcomes in Chinese Patients With H7N9/H1N1pdm09 Influenza. J Infect Dis 2017; 216:97-104. [PMID: 28510725 PMCID: PMC7107409 DOI: 10.1093/infdis/jix235] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 05/11/2017] [Indexed: 12/30/2022] Open
Abstract
Background. We examined associations between single-nucleotide polymorphisms (SNPs) of IFITM3, TLR3, and CD55 genes and influenza clinical outcomes in Chinese. Methods. A multicenter study was conducted on 275 adult cases of avian (H7N9) and pandemic (H1N1pdm09) influenza. Host DNA was extracted from diagnostic respiratory samples; IFITM3 rs12252, TLR3 rs5743313, CD55 rs2564978, and TLR4 rs4986790/4986791 were targeted for genotyping (Sanger sequencing). The primary outcome analyzed was death. Results. IFITM3 and TLR3 SNPs were in Hardy–Weinberg equilibrium; their allele frequencies (IFITM3/C-allele 0.56, TLR3/C-allele 0.88) were comparable to 1000 Genomes Han Chinese data. We found over-representation of homozygous IFITM3 CC (54.5% vs 33.2%; P = .02) and TLR3 CC (93.3% vs 76.9%; P = .04) genotypes among fatal cases. Recessive genetic models showed their significant independent associations with higher death risks (adjusted hazard ratio [aHR] 2.78, 95% confidence interval [CI] 1.29–6.02, and aHR 4.85, 95% CI 1.11−21.06, respectively). Cumulative effects were found (aHR 3.53, 95% CI 1.64−7.59 per risk genotype; aHR 9.99, 95% CI 1.27−78.59 with both). Results were consistent for each influenza subtype and other severity indicators. The CD55 TT genotype was linked to severity. TLR4 was nonpolymorphic. Conclusions. Host genetic factors may influence clinical outcomes of avian and pandemic influenza infections. Such findings have important implications on disease burden and patient care in at-risk populations.
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Affiliation(s)
- Nelson Lee
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
| | - Bin Cao
- Centre for Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, and National Clinical Research Centre for Respiratory Disease, Capital Medical University, Beijing
| | - Changwen Ke
- Institute of Pathogenic Microbiology, Guangdong Provincial Centre for Disease Control and Prevention, Guangzhou
| | - Hongzhou Lu
- Department of Infectious Diseases, Huashan Hospital Affiliated to Fudan University, Shanghai
| | - Yunwen Hu
- Key Laboratory of Medical Molecular Virology of the Ministries of Education, Shanghai Medical College, Fudan University
| | - Claudia Ha Ting Tam
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
| | - Ronald Ching Wan Ma
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
| | - Dawei Guan
- Institute of Pathogenic Microbiology, Guangdong Provincial Centre for Disease Control and Prevention, Guangzhou
| | - Zhaoqin Zhu
- Key Laboratory of Medical Molecular Virology of the Ministries of Education, Shanghai Medical College, Fudan University
| | - Hui Li
- Department of Infectious Diseases and Clinical Microbiology, Beijing Chaoyang Hospital, Capital Medical University
| | - Mulei Lin
- Southern Medical University, Guangzhou
| | - Rity Y K Wong
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
| | - Irene M H Yung
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
| | - Tin-Nok Hung
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, People's Republic of China
| | - Kirsty Kwok
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, People's Republic of China
| | - Peter Horby
- Centre for Tropical Medicine and Global Health, University of Oxford, United Kingdom
| | - David Shu Cheong Hui
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
| | - Martin Chi Wai Chan
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, People's Republic of China
| | - Paul Kay Sheung Chan
- Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, People's Republic of China
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19
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Agunos A, Pierson FW, Lungu B, Dunn PA, Tablante N. Review of Nonfoodborne Zoonotic and Potentially Zoonotic Poultry Diseases. Avian Dis 2017; 60:553-75. [PMID: 27610715 DOI: 10.1637/11413-032416-review.1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Emerging and re-emerging diseases are continuously diagnosed in poultry species. A few of these diseases are known to cross the species barrier, thus posing a public health risk and an economic burden. We identified and synthesized global evidence for poultry nonfoodborne zoonoses to better understand these diseases in people who were exposed to different poultry-related characteristics (e.g., occupational or nonoccupational, operational types, poultry species, outbreak conditions, health status of flocks). This review builds on current knowledge on poultry zoonoses/potentially zoonotic agents transmitted via the nonfoodborne route. It also identifies research gaps and potential intervention points within the poultry industry to reduce zoonotic transmission by using various knowledge synthesis tools such as systematic review (SR) and qualitative (descriptive) and quantitative synthesis methods (i.e., meta-analysis). Overall, 1663 abstracts were screened and 156 relevant articles were selected for further review. Full articles (in English) were retrieved and critically appraised using routine SR methods. In total, eight known zoonotic diseases were reviewed: avian influenza (AI) virus (n = 85 articles), Newcastle disease virus (n = 8), West Nile virus (WNV, n = 2), avian Chlamydia (n = 24), Erysipelothrix rhusiopathiae (n = 3), methicillin-resistant Staphylococcus aureus (MRSA, n = 15), Ornithonyssus sylvarium (n = 4), and Microsporum gallinae (n = 3). In addition, articles on other viral poultry pathogens (n = 5) and poultry respiratory allergens derived from mites and fungi (n = 7) were reviewed. The level of investigations (e.g., exposure history, risk factor, clinical disease in epidemiologically linked poultry, molecular studies) to establish zoonotic linkages varied across disease agents and across studies. Based on the multiple outcome measures captured in this review, AI virus seems to be the poultry zoonotic pathogen that may have considerable and significant public health consequences; however, epidemiologic reports have only documented severe human cases clustered in Asia and not in North America. In contrast, avian Chlamydia and MRSA reports clustered mainly in Europe and less so in North America and other regions. Knowledge gaps in other zoonoses or other agents were identified, including potential direct (i.e., nonmosquito-borne) transmission of WNV from flocks to poultry workers, the public health and clinical significance of poultry-derived (livestock-associated) MRSA, the zoonotic significance of other viruses, and the role of poultry allergens in the pathophysiology of respiratory diseases of poultry workers. Across all pathogens reviewed, the use of personal protective equipment was commonly cited as the most important preventive measure to reduce the zoonotic spread of these diseases and the use of biosecurity measures to reduce horizontal transmission in flock populations. The studies also emphasized the need for flock monitoring and an integrated approach to prevention (i.e., veterinary-public health coordination with regard to diagnosis, and knowledge translation and education in the general population) to reduce zoonotic transmission.
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Affiliation(s)
- Agnes Agunos
- A Public Health Agency of Canada, Guelph, Ontario, Canada N1G5B2
| | - F William Pierson
- B Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061
| | - Bwalya Lungu
- C Department of Food Science and Technology, University of California, Davis, CA 95616
| | - Patricia A Dunn
- D Animal Diagnostic Laboratory (PADLS-PSU), Pennsylvania State University, University Park, PA 16802
| | - Nathaniel Tablante
- E Virginia-Maryland College of Veterinary Medicine, University of Maryland, College Park, MD 20740
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20
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Chen J, Zhang J, Zhu W, Zhang Y, Tan H, Liu M, Cai M, Shen J, Ly H, Chen J. First genome report and analysis of chicken H7N9 influenza viruses with poly-basic amino acids insertion in the hemagglutinin cleavage site. Sci Rep 2017; 7:9972. [PMID: 28855633 PMCID: PMC5577273 DOI: 10.1038/s41598-017-10605-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 08/10/2017] [Indexed: 11/09/2022] Open
Abstract
We report the full-length sequence of two chicken source influenza A (H7N9) viruses found in Guangdong live poultry market (LPM) during the most recent wave of human infections (from October 2016 to the present time). These viruses carry insertion of poly-basic amino acids (KGKRTAR/G) at the protease cleavage site of the HA protein, which were previously found in the highly pathogenic (HP) human influenza A (H7N9) [IAV(H7N9)] strains. Phylogenetic analysis of these two novel avian influenza viruses (AIVs) suggested that their genomes reassorted between the Yangtze River Delta (YRD) and Pearl River Delta (PRD) clades. Molecular clock analysis indicated that they emerged several months before the HP human strains. Collectively, our results suggest that IAV(H7N9) viruses evolve in chickens through antigenic drift to include a signature HP sequence in the HA gene, which highlights challenges in risk assessment and public health management of IAV(H7N9) infections at the human-animal interface.
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Affiliation(s)
- Jidang Chen
- School of Life Science and Engineering, Foshan University, Foshan, China.,Department of Veterinary & Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, Minnesota, USA
| | - Jipei Zhang
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Wanjun Zhu
- Department of Veterinary & Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, Minnesota, USA
| | - Yishan Zhang
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Hualong Tan
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Minfang Liu
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Mingsheng Cai
- Department of Pathogenic Biology and Immunology, Sino-French Hoffmann Institute, School of Basic Medical Science, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jiaren Shen
- Shanghai Municipal Center for Disease Control and Prevention (SCDC), Shanghai, China
| | - Hinh Ly
- Department of Veterinary & Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, Twin Cities, Minnesota, USA.
| | - Jianhong Chen
- School of Life Science and Engineering, Foshan University, Foshan, China.
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21
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Liu SS, Jiao XY, Wang S, Su WZ, Jiang LZ, Zhang X, Ke CW, Xiong P. Susceptibility of influenza A(H1N1)/pdm2009, seasonal A(H3N2) and B viruses to Oseltamivir in Guangdong, China between 2009 and 2014. Sci Rep 2017; 7:8488. [PMID: 28814737 PMCID: PMC5559489 DOI: 10.1038/s41598-017-08282-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 07/07/2017] [Indexed: 02/05/2023] Open
Abstract
Nasopharyngeal swabs were collected from patients through the influenza surveillance network of the CDC of Guangdong. All specimens between 2009 and 2014 were checked for influenza virus using MDCK cells and further subtyped. Of those collected, 542 H1N1pdm09, 230 A(H3N2)and 448 B viruses selected at random were subjected to fluorescence-based NAI assays. Viral RNA was extracted from resistant isolates, and their NA genes were amplified by RT-PCR. Alignment of nucleotides and amino acids was performed. We performed structural modelling and simulations of mutants using Modeller 9.x and AutoDock and analyzed conformations and binding affinities. All tested seasonal type B and H3N2 viruses from 2009 to 2014 remained sensitive to oseltamivir. However, there were five strains (out of 198 tested isolates acquired between June and September 2013) that were resistant to oseltamivir. Another three resistant strains were identified among isolates from March to April 2014. We found that 2013/2014 oseltamivir-resistant strains and 2012/2013/2014 oseltamivir-sensitive strains had all or some of the following mutations: N44S, N200S,V241I, I321V,N369K, N386 K and K432E. MutationsV241I, N369K, N386K and K432E, alone or in conjunction with H275Y, had a significant impact on the binding pattern and affinity of oseltamivir for neuraminidase, rendering neuraminidase less susceptible.
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Affiliation(s)
- Shan-Shan Liu
- Department of Pharmaceutical Engineering, South China Agricultural University, Guangzhou, 510640, China
| | - Xiao-Yang Jiao
- Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Sheng Wang
- Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Wen-Zhe Su
- Guangzhou Centre for Disease Control and Prevention, Guangzhou, 510440, China
| | - Ling-Zhi Jiang
- College of Life and Ocean Science, Shen zhen Key Laboratory of Microbial Genetic Engineering, Shenzhen University, Shen zhen, 518060, China
| | - Xin Zhang
- Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, P.R. China
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, P.R. China
| | - Chang-Wen Ke
- Shantou University Medical College, Shantou, 515041, Guangdong, China.
- Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, P.R. China.
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, P.R. China.
| | - Ping Xiong
- Department of Pharmaceutical Engineering, South China Agricultural University, Guangzhou, 510640, China.
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22
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de Bruin E, Zhang X, Ke C, Sikkema R, Koopmans M. Serological evidence for exposure to avian influenza viruses within poultry workers in southern China. Zoonoses Public Health 2017; 64:e51-e59. [PMID: 28220658 DOI: 10.1111/zph.12346] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Indexed: 01/20/2023]
Abstract
The risk of infection with avian influenza viruses for poultry workers is relatively unknown in China, and study results are often biased by the notification of only the severe human cases. Protein microarray was used to detect binding antibodies to 13 different haemagglutinin (HA1-part) antigens of avian influenza A(H5N1), A(H7N7), A(H7N9) and A(H9N2) viruses, in serum samples from poultry workers and healthy blood donors collected in the course of 3 years in Guangdong Province, China. Significantly higher antibody titre levels were detected in poultry workers when compared to blood donors for the most recent H5 and H9 strains tested. These differences were most pronounced in younger age groups for antigens from older strains, but were observed in all age groups for the recent H5 and H9 antigens. For the H7 strains tested, only poultry workers from two retail live poultry markets had significantly higher antibody titres compared to blood donors.
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Affiliation(s)
- E de Bruin
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands.,Laboratory for Infectious Diseases and Perinatal Screening, Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - X Zhang
- Guangdong Province Center for Disease Control and Prevention, Panyu District, Guangzhou, Guangdong, China
| | - C Ke
- Guangdong Province Center for Disease Control and Prevention, Panyu District, Guangzhou, Guangdong, China
| | - R Sikkema
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands.,Laboratory for Infectious Diseases and Perinatal Screening, Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - M Koopmans
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands.,Laboratory for Infectious Diseases and Perinatal Screening, Center for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
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23
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Li R, Bai Y, Heaney A, Kandula S, Cai J, Zhao X, Xu B, Shaman J. Inference and forecast of H7N9 influenza in China, 2013 to 2015. Euro Surveill 2017; 22. [PMID: 28230525 PMCID: PMC5322186 DOI: 10.2807/1560-7917.es.2017.22.7.30462] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 01/10/2017] [Indexed: 11/30/2022] Open
Abstract
The recent emergence of A(H7N9) avian influenza poses a significant challenge to public health in China and around the world; however, understanding of the transmission dynamics and progression of influenza A(H7N9) infection in domestic poultry, as well as spillover transmission to humans, remains limited. Here, we develop a mathematical model–Bayesian inference system which combines a simple epidemic model and data assimilation method, and use it in conjunction with data on observed human influenza A(H7N9) cases from 19 February 2013 to 19 September 2015 to estimate key epidemiological parameters and to forecast infection in both poultry and humans. Our findings indicate a high outbreak attack rate of 33% among poultry but a low rate of chicken-to-human spillover transmission. In addition, we generated accurate forecasts of the peak timing and magnitude of human influenza A(H7N9) cases. This work demonstrates that transmission dynamics within an avian reservoir can be estimated and that real-time forecast of spillover avian influenza in humans is possible.
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Affiliation(s)
- Ruiyun Li
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
| | - Yuqi Bai
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Alex Heaney
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
| | - Sasikiran Kandula
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
| | - Jun Cai
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Xuyi Zhao
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Bing Xu
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
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24
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Yuan R, Liang L, Wu J, Kang Y, Song Y, Zou L, Zhang X, Ni H, Ke C. Human infection with an avian influenza A/H9N2 virus in Guangdong in 2016. J Infect 2017; 74:422-425. [PMID: 28109675 DOI: 10.1016/j.jinf.2017.01.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 01/09/2017] [Accepted: 01/11/2017] [Indexed: 01/07/2023]
Affiliation(s)
- Runyu Yuan
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China
| | - Lijun Liang
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China
| | - Jie Wu
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China
| | - Yinfeng Kang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Yingchao Song
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China
| | - Lirong Zou
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China
| | - Xin Zhang
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China
| | - Hanzhong Ni
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China
| | - Changwen Ke
- Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China; WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, PR China.
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25
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Nerome K, Matsuda S, Maegawa K, Sugita S, Kuroda K, Kawasaki K, Nerome R. Quantitative analysis of the yield of avian H7 influenza virus haemagglutinin protein produced in silkworm pupae with the use of the codon-optimized DNA: A possible oral vaccine. Vaccine 2017; 35:738-746. [PMID: 28065477 DOI: 10.1016/j.vaccine.2016.12.058] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 11/25/2016] [Accepted: 12/22/2016] [Indexed: 12/26/2022]
Abstract
In this study, we aimed to quantitatively compare the increased production of three H7 influenza virus-like particle (VLP) haemagglutinin (HA) with the use of a codon-optimized single HA gene in silkworm pupae. Recombinant baculovirus (Korea H7-BmNPV) could produce 0.40 million HA units per pupa, corresponding to 1832μg protein. The yield of the HA produced in larva was estimated to be approximately 0.31 million HA units per larva, and there were no significant differences between the three HA proteins. We could establish efficient recovery system of HA production in larvae and pupae with the use of three cycles sonication methods. Next, we compared yields of HA proteins from three different H7 and two H5 recombinant baculoviruses based on the amount of mRNA synthesized in BmN cells, suggesting that mRNA synthesis may be also a useful indicator for the production of HA. Based on HA titres from four recombinants, the yield of HA had a great influence on the codon-optimized effect and the characteristics of the viral HA gene. The recombinant containing codon optimized HA DNA of A/tufted duck/Fukushima/16/2011 (H5N1) did produce more than one million HA units, although another recombinant including of the wild H5N1 strain failed to show HA activity. Electron microscopy revealed the presence of large VLP and small HA particle in the heavy and light fractions. The purified VLPs reacted with the authentic anti-H7 antibodies and the antibodies prepared after immunization with the VLP H7 antigen. Also H5 and H7VLPs could produce HI antibody in chickens and mice with oral immunization. The antibodies elicited with oral immunization were confirmed in fluorescent antibody analysis and western blotting in Korea H5-BmNPV and H7HA-BmNPV recombinant infected BmN cells. Taken together, these findings provided important insights into future oral vaccine development.
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Affiliation(s)
- Kuniaki Nerome
- The Institute of Biological Resources, 893-2, Nakayama, Nago, Okinawa 905-0004, Japan.
| | - Sayaka Matsuda
- The Institute of Biological Resources, 893-2, Nakayama, Nago, Okinawa 905-0004, Japan
| | - Kenichi Maegawa
- The Institute of Biological Resources, 893-2, Nakayama, Nago, Okinawa 905-0004, Japan
| | - Shigeo Sugita
- Equine Research Institute, Japan Racing Association, 321-4, Tokami-cho, Utsunomiya, Tochigi 320-0856, Japan
| | - Kazumichi Kuroda
- Division of Microbiology, Nihon University School of Medicine, 30-1, Oyaguchi-kamicho, Itabashi-ku, Tokyo 173-8610, Japan
| | - Kazunori Kawasaki
- National Institute of Advanced Science and Technology (AIST), 1-8-31, Midorigaoka, Ikeda, Osaka 563-8577, Japan
| | - Reiko Nerome
- The Institute of Biological Resources, 893-2, Nakayama, Nago, Okinawa 905-0004, Japan
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26
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Leung P, Eltahla AA, Lloyd AR, Bull RA, Luciani F. Understanding the complex evolution of rapidly mutating viruses with deep sequencing: Beyond the analysis of viral diversity. Virus Res 2016; 239:43-54. [PMID: 27888126 DOI: 10.1016/j.virusres.2016.10.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 10/24/2016] [Accepted: 10/25/2016] [Indexed: 12/24/2022]
Abstract
With the advent of affordable deep sequencing technologies, detection of low frequency variants within genetically diverse viral populations can now be achieved with unprecedented depth and efficiency. The high-resolution data provided by next generation sequencing technologies is currently recognised as the gold standard in estimation of viral diversity. In the analysis of rapidly mutating viruses, longitudinal deep sequencing datasets from viral genomes during individual infection episodes, as well as at the epidemiological level during outbreaks, now allow for more sophisticated analyses such as statistical estimates of the impact of complex mutation patterns on the evolution of the viral populations both within and between hosts. These analyses are revealing more accurate descriptions of the evolutionary dynamics that underpin the rapid adaptation of these viruses to the host response, and to drug therapies. This review assesses recent developments in methods and provide informative research examples using deep sequencing data generated from rapidly mutating viruses infecting humans, particularly hepatitis C virus (HCV), human immunodeficiency virus (HIV), Ebola virus and influenza virus, to understand the evolution of viral genomes and to explore the relationship between viral mutations and the host adaptive immune response. Finally, we discuss limitations in current technologies, and future directions that take advantage of publically available large deep sequencing datasets.
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Affiliation(s)
- Preston Leung
- School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, NSW 2052, Australia; The Kirby Institute, UNSW Australia, Sydney, NSW 2052, Australia
| | - Auda A Eltahla
- School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, NSW 2052, Australia; The Kirby Institute, UNSW Australia, Sydney, NSW 2052, Australia
| | - Andrew R Lloyd
- The Kirby Institute, UNSW Australia, Sydney, NSW 2052, Australia
| | - Rowena A Bull
- School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, NSW 2052, Australia; The Kirby Institute, UNSW Australia, Sydney, NSW 2052, Australia
| | - Fabio Luciani
- School of Medical Sciences, Faculty of Medicine, UNSW Australia, Sydney, NSW 2052, Australia; The Kirby Institute, UNSW Australia, Sydney, NSW 2052, Australia.
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27
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Quantitative risk analysis of the novel H7N9 virus in environments associated with H9 avian influenza virus, Zhejiang province, China. Epidemiol Infect 2016; 145:133-140. [PMID: 27678396 DOI: 10.1017/s0950268816002168] [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] [Indexed: 11/06/2022] Open
Abstract
H9 avian influenza virus played a key role during generation of the novel H7N9 virus. A surveillance programme was conducted to assess the H9 virus in relation to the risk of H7N9 virus contamination in the environment. Risk of H7N9 virus contamination in the presence of H9 virus was higher than without (adjusted odds ratio 4·49, 95% confidence interval 3·79-5·31). Adjusted odds ratios of the H7N9 virus associated with co-presence of H9 virus and interacting factors were 4·93 (rural vs. urban area), 46·80 (live poultry markets vs. other premises), 6·86 (Huzhou vs. Hangzhou prefecture), 40·67 (year 2015 vs. 2013), and 9·63 (sewage from cleaning poultry vs. poultry faeces). Regular surveillance on gene variability of H7N9 and H9 viruses should be conducted and extra measures are needed to reduce co-circulation of H7N9 and H9 viruses in the environment.
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28
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Fang S, Wang X, Dong F, Jin T, Liu G, Lu X, Peng B, Wu W, Liu H, Kong D, Tang X, Qin Y, Mei S, Xie X, He J, Ma H, Zhang R, Cheng J. Genomic characterization of influenza A (H7N9) viruses isolated in Shenzhen, Southern China, during the second epidemic wave. Arch Virol 2016; 161:2117-32. [PMID: 27169600 DOI: 10.1007/s00705-016-2872-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Accepted: 04/24/2016] [Indexed: 10/21/2022]
Abstract
There were three epidemic waves of human infection with avian influenza A (H7N9) virus in 2013-2014. While many analyses of the genomic origin, evolution, and molecular characteristics of the influenza A (H7N9) virus have been performed using sequences from the first epidemic wave, genomic characterization of the virus from the second epidemic wave has been comparatively less reported. In this study, an in-depth analysis was performed with respect to the genomic characteristics of 11 H7N9 virus strains isolated from confirmed cases and four H7N9 virus strains isolated from environmental samples in Shenzhen during the second epidemic wave. Phylogenetic analysis demonstrated that six internal segments of the influenza A (H7N9) virus isolated from confirmed cases and environmental samples in Shenzhen were clustered into two different clades and that the origin of the influenza A (H7N9) virus isolated from confirmed cases in Shenzhen was different from that of viruses isolated during the first wave. In addition, H9N2 viruses, which were prevalent in southern China, played an important role in the reassortment of the influenza A (H7N9) virus isolated in Shenzhen. HA-R47K and -T122A, PB2-V139I, PB1-I397M, and NS1-T216P were the signature amino acids of the influenza A (H7N9) virus isolated from confirmed cases in Shenzhen. We found that the HA, NA, M, and PA genes of the A(H7N9) viruses underwent positive selection in the human population. Therefore, enhanced surveillance should be carried out to determine the origin and mode of transmission of the novel influenza A (H7N9) virus and to facilitate the formulation of effective policies for prevention and containment of a human infection epidemics.
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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, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Xin Wang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Fangyuan Dong
- College of Medicine, Jinan University, 601 Huangpu Avenue West, Guangzhou, China
| | - Tao Jin
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Guang Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Xing Lu
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Bo Peng
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Weihua Wu
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Hui Liu
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Dongfeng Kong
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Xiujuan Tang
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Yanmin Qin
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Shujiang Mei
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Xu Xie
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Jianfan He
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Hanwu Ma
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China
| | - Renli Zhang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China.
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, Guangdong, China.
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29
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Sha J, Chen X, Ren Y, Chen H, Wu Z, Ying D, Zhang Z, Liu S. Differences in the epidemiology and virology of mild, severe and fatal human infections with avian influenza A (H7N9) virus. Arch Virol 2016; 161:1239-59. [PMID: 26887968 PMCID: PMC7101734 DOI: 10.1007/s00705-016-2781-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 01/30/2016] [Indexed: 11/04/2022]
Abstract
A novel avian influenza A (H7N9) virus caused 5-10 % mild and 30.5 % fatal human infections as of December 10, 2015. In order to investigate the reason for the higher rate of fatal outcome of this infection, this study compared the molecular epidemiology and virology of avian influenza A (H7N9) viruses from mild (N = 14), severe (N = 50) and fatal (N = 35) cases, as well as from non-human hosts (N = 73). The epidemiological results showed that the average age of the people in the mild, severe and fatal groups was 27.6, 52 and 62 years old, respectively (p < 0.001). Males accounted for 42.9 % (6/14), 58.0 % (29/50), and 74.3 % (26/35) of cases in the mild, severe and fatal group respectively (p = 0.094). Median days from onset to start of antiviral treatment were 2, 5 and 7 days in the mild, severe and fatal group, respectively (p = 0.002). The median time from onset to discharge/death was 12, 40 and 19 days in the mild, severe and fatal group, respectively (p < 0.001). Analysis of whole genome sequences showed that PB2 (E627K), NA (R294K) and PA (V100A) mutations were markedly associated with an increased fatality rate, while HA (N276D) and PB2 (N559T) mutations were clearly related to mild cases. There were no differences in the genotypes, adaptation to mammalian hosts, and genetic identity between the three types of infection. In conclusion, advanced age and delayed confirmation of diagnosis and antiviral intervention were risk factors for death. Furthermore, PB2 (E627K), NA (R294K) and PA (V100A) mutations might contribute to a fatal outcome in human H7N9 infection.
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Affiliation(s)
- Jianping Sha
- Department of Gastroenterology, The 421 Hospital of Chinese People's Liberation Army, Guangzhou, People's Republic of China
| | - Xiaowen Chen
- Department of Senior Cadres, The 421 Hospital of Chinese People's Liberation Army, Guangzhou, People's Republic of China
| | - Yajin Ren
- Pharmacy Department, The 421 Hospital of Chinese People's Liberation Army, Guangzhou, People's Republic of China
| | - Haijun Chen
- Department of Infectious Diseases, Jinhua Municipal Central Hospital, Jinhua, People's Republic of China
| | - Zuqun Wu
- Department of Respiratory Medicine, Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, People's Republic of China
| | - Dong Ying
- Department of Oncology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China
| | - Zhiruo Zhang
- School of Public Health, Shanghai Jiao Tong University, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, People's Republic of China.
| | - Shelan Liu
- Department of Infectious Diseases, Zhejiang Provincial Centre for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, 310051, Zhejiang Province, People's Republic of China.
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Zhu H, Lam TTY, Smith DK, Guan Y. Emergence and development of H7N9 influenza viruses in China. Curr Opin Virol 2016; 16:106-113. [PMID: 26922715 DOI: 10.1016/j.coviro.2016.01.020] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 01/27/2016] [Indexed: 02/05/2023]
Abstract
The occurrence of human infections with avian H7N9 viruses since 2013 demonstrates the continuing pandemic threat posed by the current influenza ecosystem in China. Influenza surveillance and phylogenetic analyses showed that these viruses were generated by multiple interspecies transmissions and reassortments among the viruses resident in domestic ducks and the H9N2 viruses enzootic in chickens. A large population of domestic ducks hosting diverse influenza viruses provided the precondition for these events to occur, while acquiring internal genes from enzootic H9N2 influenza viruses in chickens promoted the spread of these viruses. Human infections effectively act as sentinels, reflecting the intensity of the activity of these viruses in poultry.
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Affiliation(s)
- Huachen Zhu
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou 515041, China; State Key Laboratory of Emerging Infectious Diseases (HKU-Shenzhen Branch), Shenzhen Third People's Hospital, Shenzhen 518112, China; Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China.
| | - Tommy Tsan-Yuk Lam
- Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - David Keith Smith
- Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Yi Guan
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou 515041, China; State Key Laboratory of Emerging Infectious Diseases (HKU-Shenzhen Branch), Shenzhen Third People's Hospital, Shenzhen 518112, China; Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China
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Richard M, Fouchier RAM. Influenza A virus transmission via respiratory aerosols or droplets as it relates to pandemic potential. FEMS Microbiol Rev 2016; 40:68-85. [PMID: 26385895 PMCID: PMC5006288 DOI: 10.1093/femsre/fuv039] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 01/13/2015] [Accepted: 08/20/2015] [Indexed: 12/11/2022] Open
Abstract
Many respiratory viruses of humans originate from animals. For instance, there are now eight paramyxoviruses, four coronaviruses and four orthomxoviruses that cause recurrent epidemics in humans but were once confined to other hosts. In the last decade, several members of the same virus families have jumped the species barrier from animals to humans. Fortunately, these viruses have not become established in humans, because they lacked the ability of sustained transmission between humans. However, these outbreaks highlighted the lack of understanding of what makes a virus transmissible. In part triggered by the relatively high frequency of occurrence of influenza A virus zoonoses and pandemics, the influenza research community has started to investigate the viral genetic and biological traits that drive virus transmission via aerosols or respiratory droplets between mammals. Here we summarize recent discoveries on the genetic and phenotypic traits required for airborne transmission of zoonotic influenza viruses of subtypes H5, H7 and H9 and pandemic viruses of subtypes H1, H2 and H3. Increased understanding of the determinants and mechanisms of respiratory virus transmission is not only key from a basic scientific perspective, but may also aid in assessing the risks posed by zoonotic viruses to human health, and preparedness for such risks.
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Affiliation(s)
- Mathilde Richard
- Department of Viroscience, Postgraduate School Molecular Medicine, Erasmus MC, 3000 CA Rotterdam, the Netherlands
| | - Ron A M Fouchier
- Department of Viroscience, Postgraduate School Molecular Medicine, Erasmus MC, 3000 CA Rotterdam, the Netherlands
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Huang Y, Zhang H, Li X, Hu S, Cai L, Sun Q, Li W, Deng Z, Xiang X, Zhang H, Li F, Gao L. Detection and Genetic Characteristics of H9N2 Avian Influenza Viruses from Live Poultry Markets in Hunan Province, China. PLoS One 2015; 10:e0142584. [PMID: 26554921 PMCID: PMC4640513 DOI: 10.1371/journal.pone.0142584] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 10/24/2015] [Indexed: 12/26/2022] Open
Abstract
H9N2 avian influenza viruses (AIVs) are highly prevalent and of low pathogenicity in domestic poultry. These viruses show a high genetic compatibility with other subtypes of AIVs and have been involved in the genesis of H5N1, H7N9 and H10N8 viruses causing severe infection in humans. The first case of human infection with H9N2 viruses in Hunan province of China have been confirmed in November 2013 and identified that H9N2 viruses from live poultry markets (LPMs) near the patient’s house could be the source of infection. However, the prevalence, distribution and genetic characteristics of H9N2 viruses in LPMs all over the province are not clear. We collected and tested 3943 environmental samples from 380 LPMs covering all 122 counties/districts of Hunan province from February to April, 2014. A total of 618 (15.7%) samples were H9 subtype positive and 200 (52.6%) markets in 98 (80.3%) counties/districts were contaminated with H9 subtype AIVs. We sequenced the entire coding sequences of the genomes of eleven H9N2 isolates from environmental samples. Phylogenetic analysis showed that the gene sequences of the H9N2 AIVs exhibited high homology (94.3%-100%). All eleven viruses were in a same branch in the phylogenetic trees and belonged to a same genotype. No gene reassortment had been found. Molecular analysis demonstrated that all the viruses had typical molecular characteristics of contemporary avian H9N2 influenza viruses. Continued surveillance of AIVs in LPMs is warranted for identification of further viral evolution and novel reassortants with pandemic potential.
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Affiliation(s)
- Yiwei Huang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Hong Zhang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Xiaodan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Shixiong Hu
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Liang Cai
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Qianlai Sun
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Wenchao Li
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Zhihong Deng
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Xingyu Xiang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Hengjiao Zhang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Fangcai Li
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Lidong Gao
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
- * E-mail:
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He F, Chen EF, Li FD, Wang XY, Wang XX, Lin JF. Human infection and environmental contamination with Avian Influenza A (H7N9) Virus in Zhejiang Province, China: risk trend across the three waves of infection. BMC Public Health 2015; 15:931. [PMID: 26392274 PMCID: PMC4576372 DOI: 10.1186/s12889-015-2278-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Accepted: 09/14/2015] [Indexed: 11/24/2022] Open
Abstract
Background The third wave of H7N9 cases in China emerged in the second half of 2014. This study was conducted to identify the risk trends of H7N9 virus in human infections and environment contamination. Methods A surveillance program for H7N9 virus has been conducted in all 90 counties in Zhejiang since March 2013. All H7N9 cases were reported by hospitals through the China Information System for Disease Control and Prevention. Sampling sites for environment specimens were randomly selected by a multi-stage sampling strategy. Poultry-related workers for serological surveillance were randomly selected from the sampling sites for environmental specimens in the first quarter of each year. rRT-PCR and viral isolation were performed to identify H7N9 virus. A hemagglutination inhibition assay was conducted to detect possible H7N9 infection among poultry-related workers. Results A total of 170 H7N9 cases were identified in Zhejiang from 20 March 2013 to 28 February 2015. The proportion of rural cases increased from 42.2 % (19/45) to 67.7 % (21/31) with progression of the three epidemics (P < 0.05). In 32 % (161/503) of towns and 16.0 % (238/1488) of surveyed premises, H7N9 virus was detected in the environment. The positive rate of environmental specimens was 6.1 % (868/14207). In addition, 912 poultry-related workers were recruited and 3.7 % (34) of them tested positive for H7N9 antibodies. Positive detection of H7N9 virus during environmental surveillance increased from the first to third wave (P < 0.05). Almost all positive rates of environmental surveillance were higher in urban than rural in the second wave (P < 0.05), however they were higher in rural area in the third wave (P < 0.05). Conclusions Our study highlights that the severity of poultry-related environmental contamination by H7N9 virus is intensifying. We strongly recommend that the local government stop illegal trading immediately and close live poultry markets in the territory. Poultry operations in slaughtering plants must be supervised rigorously. Prior to the closure of live poultry markets, daily cleaning and disinfecting of areas potentially contaminated by H7N9 virus, centralized collection and disposal of trash, designating certain days as market rest days, banning overnight poultry storage and other measures should be strictly carried out in both urban and rural areas.
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Affiliation(s)
- Fan He
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, 310051, People's Republic of China.
| | - En-Fu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, 310051, People's Republic of China.
| | - Fu-Dong Li
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, 310051, People's Republic of China.
| | - Xin-Yi Wang
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, 310051, People's Republic of China.
| | - Xiao-Xiao Wang
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, 310051, People's Republic of China.
| | - Jun-Fen Lin
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, 310051, People's Republic of China.
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Wu J, Lau EHY, Xing Q, Zou L, Zhang H, Yen HL, Song Y, Zhong H, Lin J, Kang M, Cowling BJ, Huang G, Ke C. Seasonality of avian influenza A(H7N9) activity and risk of human A(H7N9) infections from live poultry markets. J Infect 2015; 71:690-3. [PMID: 26365221 DOI: 10.1016/j.jinf.2015.08.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2015] [Accepted: 08/23/2015] [Indexed: 11/24/2022]
Affiliation(s)
- Jie Wu
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Eric H Y Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Qinbin Xing
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Lirong Zou
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Hongbin Zhang
- The Department of Medical Research, Guangzhou General Hospital of Guangzhou Military District, Guangzhou, Guangdong, 510010, China
| | - Hui-Ling Yen
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yinchao Song
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Haojie Zhong
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jinyan Lin
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Min Kang
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Guofeng Huang
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Changwen Ke
- WHO Collaborating Centre for Surveillance, Research and Training of Emerging Infectious Diseases, Medical Key Laboratory for Repository and Application of Pathogenic Microbiology, Research Center for Pathogens Detection Technology of Emerging Infectious Diseases, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
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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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36
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Farooqui A, Leon AJ, Huang L, Wu S, Cai Y, Lin P, Chen W, Fang X, Zeng T, Liu Y, Zhang L, Su T, Chen W, Ghedin E, Zhu H, Guan Y, Kelvin DJ. Genetic diversity of the 2013-14 human isolates of influenza H7N9 in China. BMC Infect Dis 2015; 15:109. [PMID: 25880069 PMCID: PMC4352237 DOI: 10.1186/s12879-015-0829-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 02/11/2015] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Influenza H7N9 has become an endemic pathogen in China where circulating virus is found extensively in wild birds and domestic poultry. Two epidemic waves of Human H7N9 infections have taken place in Eastern and South Central China during the years of 2013 and 2014. In this study, we report on the first four human cases of influenza H7N9 in Shantou, Guangdong province, which occurred during the second H7N9 wave, and the subsequent analysis of the viral isolates. METHODS Viral genomes were subjected to multisegment amplification and sequenced in an Illumina MiSeq. Later, phylogenetic analyses of influenza H7N9 viruses were performed to establish the evolutionary context of the disease in humans. RESULTS The sequences of the isolates from Shantou have closer evolutionary proximity to the predominant Eastern H7N9 cluster (similar to A/Shanghai/1/2013 (H7N9)) than to the Southern H7N9 cluster (similar to A/Guangdong/1/2013 (H7N9)). CONCLUSIONS Two distinct phylogenetic groups of influenza H7N9 circulate currently in China and cause infections in humans as a consequence of cross-species spillover from the avian disease. The Eastern cluster, which includes the four isolates from Shantou, presents a wide geographic distribution and overlaps with the more restricted area of circulation of the Southern cluster. Continued monitoring of the avian disease is of critical importance to better understand and predict the epidemiological behaviour of the human cases.
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Affiliation(s)
- Amber Farooqui
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Alberto J Leon
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
- Division of Experimental Therapeutics, University Health Network, Toronto, Ontario, Canada.
| | - Linxi Huang
- Intensive Care Unit, the First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Suwu Wu
- Intensive Care Unit, Shantou Central Hospital, Shantou, Guangdong, China.
| | - Yingmu Cai
- Department of Laboratory Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Pengzhou Lin
- Intensive Care Unit, the First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Weihong Chen
- Intensive Care Unit, Shantou Central Hospital, Shantou, Guangdong, China.
| | - Xibin Fang
- Intensive Care Unit, Shantou Central Hospital, Shantou, Guangdong, China.
| | - Tiansheng Zeng
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Yisu Liu
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Li Zhang
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Ting Su
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Weibin Chen
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Elodie Ghedin
- Department of Biology, Center for Genomics and Systems Biology, Global Institute of Public Health, New York University, New York, USA.
| | - Huachen Zhu
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou, China.
- State Key Laboratory of Emerging Infectious Diseases/Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
| | - Yi Guan
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou, China.
- State Key Laboratory of Emerging Infectious Diseases/Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
| | - David J Kelvin
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
- Division of Experimental Therapeutics, University Health Network, Toronto, Ontario, Canada.
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