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Kang M, Wang LF, Sun BW, Wan WB, Ji X, Baele G, Bi YH, Suchard MA, Lai A, Zhang M, Wang L, Zhu YH, Ma L, Li HP, Haerheng A, Qi YR, Wang RL, He N, Su S. Zoonotic infections by avian influenza virus: changing global epidemiology, investigation, and control. THE LANCET. INFECTIOUS DISEASES 2024; 24:e522-e531. [PMID: 38878787 DOI: 10.1016/s1473-3099(24)00234-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/21/2024] [Accepted: 04/07/2024] [Indexed: 07/28/2024]
Abstract
Avian influenza virus continues to pose zoonotic, epizootic, and pandemic threats worldwide, as exemplified by the 2020-23 epizootics of re-emerging H5 genotype avian influenza viruses among birds and mammals and the fatal jump to humans of emerging A(H3N8) in early 2023. Future influenza pandemic threats are driven by extensive mutations and reassortments of avian influenza viruses rooted in frequent interspecies transmission and genetic mixing and underscore the urgent need for more effective actions. We examine the changing global epidemiology of human infections caused by avian influenza viruses over the past decade, including dramatic increases in both the number of reported infections in humans and the spectrum of avian influenza virus subtypes that have jumped to humans. We also discuss the use of advanced surveillance, diagnostic technologies, and state-of-the-art analysis methods for tracking emerging avian influenza viruses. We outline an avian influenza virus-specific application of the One Health approach, integrating enhanced surveillance, tightened biosecurity, targeted vaccination, timely precautions, and timely clinical management, and fostering global collaboration to control the threats of avian influenza viruses.
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Affiliation(s)
- Mei Kang
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China; Clinical Research Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li-Fang Wang
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Bo-Wen Sun
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Wen-Bo Wan
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Xiang Ji
- Department of Mathematics, School of Science and Engineering, Tulane University, New Orleans, LA, USA
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
| | - Yu-Hai Bi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Marc A Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA; Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alexander Lai
- School of Science, Technology, Engineering, and Mathematics, Kentucky State University, Frankfort, KY, USA
| | - Min Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Wang
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan-Hong Zhu
- Department of Scientific Research Management, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Ma
- Department of Scientific Research Management, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai-Peng Li
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Ayidana Haerheng
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Yang-Rui Qi
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Rui-Lan Wang
- Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na He
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Shuo Su
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
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2
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Jackson LA, Stapleton JT, Walter EB, Chen WH, Rouphael NG, Anderson EJ, Neuzil KM, Winokur PL, Smith MJ, Schmader KE, Swamy GK, Thompson AB, Mulligan MJ, Rostad CA, Cross K, Tsong R, Wegel A, Roberts PC. Immunogenicity and safety of varying dosages of a fifth-wave influenza A/H7N9 inactivated vaccine given with and without AS03 adjuvant in healthy adults. Vaccine 2024; 42:295-309. [PMID: 38105137 PMCID: PMC10790638 DOI: 10.1016/j.vaccine.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 10/25/2023] [Accepted: 12/01/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Human infections with the avian influenza A(H7N9) virus were first reported in China in 2013 and continued to occur in annual waves. In the 2016/2017 fifth wave, Yangtze River Delta (YRD) lineage viruses, which differed antigenically from those of earlier waves, predominated. METHODS In this phase 2 double-blinded trial we randomized 720 adults ≥ 19 years of age to receive two injections of a YRD lineage inactivated A/Hong Kong/125/2017 fifth-wave H7N9 vaccine, given 21 days apart, at doses of 3.75, 7.5, and 15 µg of hemagglutinin (HA) with AS03A adjuvant and at doses of 15 and 45 µg of HA without adjuvant. RESULTS Two doses of adjuvanted vaccine were required to induce HA inhibition (HI) antibody titers ≥ 40 in most participants. After two doses of the 15 µg H7N9 formulation, given with or without AS03 adjuvant, the proportion achieving a HI titer ≥ 40 against the vaccine strain at 21 days after the second vaccination was 65 % (95 % CI, 57 %-73 %) and 0 % (95 % CI, 0 %-4%), respectively. Among those who received two doses of the 15 µg adjuvanted formulation the proportion with HI titer ≥ 40 at 21 days after the second vaccination was 76 % (95 % CI, 66 %-84 %) in those 19-64 years of age and 49 % (95 % CI, 37 %-62 %) in those ≥ 65 years of age. Responses to the adjuvanted vaccine formulations did not vary by HA content. Antibody responses declined over time and responses against drifted H7N9 strains were diminished. Overall, the vaccines were well tolerated but, as expected, adjuvanted vaccines were associated with more frequent solicited systemic and local adverse events. CONCLUSIONS AS03 adjuvant improved the immune responses to an inactivated fifth-wave H7N9 influenza vaccine, particularly in younger adults, but invoked lower responses to drifted H7N9 strains. These findings may inform future influenza pandemic preparedness strategies.
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Affiliation(s)
- Lisa A Jackson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
| | - Jack T Stapleton
- Departments of Internal Medicine and Microbiology and Immunology, University of Iowa, Iowa City, IA, USA
| | - Emmanuel B Walter
- Duke Human Vaccine Institute, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Wilbur H Chen
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nadine G Rouphael
- Hope Clinic of the Emory Vaccine Center, Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Evan J Anderson
- Departments of Pediatrics and Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Kathleen M Neuzil
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Patricia L Winokur
- Division of Infectious Diseases, Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
| | - Michael J Smith
- Duke Human Vaccine Institute, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Kenneth E Schmader
- Division of Geriatrics, Department of Medicine, Duke University School of Medicine and GRECC, Durham VA Health Care System, Durham, NC, USA
| | - Geeta K Swamy
- Duke Human Vaccine Institute and Department of Obstetrics & Gynecology, Duke University School of Medicine, Durham, NC, USA
| | - Amelia B Thompson
- Duke Human Vaccine Institute, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Mark J Mulligan
- Departments of Pediatrics and Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Christina A Rostad
- Departments of Pediatrics and Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | | | | | | | - Paul C Roberts
- Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA
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3
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Zhao Y, Huang F, Zou Z, Bi Y, Yang Y, Zhang C, Liu Q, Shang D, Yan Y, Ju X, Mei S, Xie P, Li X, Tian M, Tan S, Lu H, Han Z, Liu K, Zhang Y, Liang J, Liang Z, Zhang Q, Chang J, Liu WJ, Feng C, Li T, Zhang MQ, Wang X, Gao GF, Liu Y, Jin N, Jiang C. Avian influenza viruses suppress innate immunity by inducing trans-transcriptional readthrough via SSU72. Cell Mol Immunol 2022; 19:702-714. [PMID: 35332300 PMCID: PMC9151799 DOI: 10.1038/s41423-022-00843-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 01/29/2022] [Indexed: 11/29/2022] Open
Abstract
Innate immunity plays critical antiviral roles. The highly virulent avian influenza viruses (AIVs) H5N1, H7N9, and H5N6 can better escape host innate immune responses than the less virulent seasonal H1N1 virus. Here, we report a mechanism by which transcriptional readthrough (TRT)-mediated suppression of innate immunity occurs post AIV infection. By using cell lines, mouse lungs, and patient PBMCs, we showed that genes on the complementary strand (“trans” genes) influenced by TRT were involved in the disruption of host antiviral responses during AIV infection. The trans-TRT enhanced viral lethality, and TRT abolishment increased cell viability and STAT1/2 expression. The viral NS1 protein directly bound to SSU72, and degradation of SSU72 induced TRT. SSU72 overexpression reduced TRT and alleviated mouse lung injury. Our results suggest that AIVs infection induce TRT by reducing SSU72 expression, thereby impairing host immune responses, a molecular mechanism acting through the NS1-SSU72-trans-TRT-STAT1/2 axis. Thus, restoration of SSU72 expression might be a potential strategy for preventing AIV pandemics.
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4
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Zhan Y, Chen X, Guan W, Guan W, Yang C, Pan S, Wong SS, Chen R, Ye F. Clinical impact of nosocomial infection with pandemic influenza A (H1N1) 2009 in a respiratory ward in Guangzhou. J Thorac Dis 2021; 13:5851-5862. [PMID: 34795934 PMCID: PMC8575854 DOI: 10.21037/jtd-21-897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 09/09/2021] [Indexed: 11/17/2022]
Abstract
Background Nosocomial outbreaks of pandemic influenza A (H1N1) 2009 virus [A(H1N1)pdm09] easily develop due to its high transmissibility. This study aimed to investigate the clinical impacts of a nosocomial outbreak of A(H1N1)pdm09 between 21 January and 17 February 2016. Methods Patients who developed influenza-like illness (ILI) more than 48 hours after hospitalization in the index ward were enrolled as suspected patients, defined as group A and quarantined. Patients in other wards were defined as group B. A phylogenetic tree was constructed to determine the origins of the hemagglutinin and neuraminidase genes. Results After the implementation of an infection control measure bundle, the outbreak was limited to eight patients with ILIs in group A. Nasal swabs from seven patients were positive for A(H1N1)pdm09. All the patients recovered after treatment. Prolonged viral shedding was observed in a patient with bronchiectasis and Penicillium marneffei infection. Compared to the expected duration of hospitalization in patients without fever, those with fever had a median 7-day delay in discharge and a mean excess cost of 3,358 RMB. The four influenza strains identified were genetically identical to the A/California/115/2015 strain. Six of the 54 patients in group B who underwent bronchoscopy developed transient fever. These patients were hospitalized in various wards of the hospital and recovered after a short-term course of empirical antibiotics. Conclusions After the implementation of infection control measures, the nosocomial A(H1N1)pdm09 outbreak was rapidly contained; infected patients had a delay in discharge and excess costs, but no deaths occurred.
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Affiliation(s)
- Yangqing Zhan
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Xiaojuan Chen
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Weijie Guan
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wenda Guan
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Chunguang Yang
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Sihua Pan
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Sook-San Wong
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Rongchang Chen
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.,Department of Pulmonary and Critical Care Medicine, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen Institute of Respiratory Diseases, Shenzhen, China
| | - Feng Ye
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
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5
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Design a pediatric isolation bed and characterization of its purification efficacy in ambient air. BIOSAFETY AND HEALTH 2021. [DOI: 10.1016/j.bsheal.2021.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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6
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Liu WJ, Li J, Zou R, Pan J, Jin T, Li L, Liu P, Zhao Y, Yu X, Wang H, Liu G, Jiang H, Bi Y, Liu L, Yuen KY, Liu Y, Gao GF. Dynamic PB2-E627K substitution of influenza H7N9 virus indicates the in vivo genetic tuning and rapid host adaptation. Proc Natl Acad Sci U S A 2020; 117:23807-23814. [PMID: 32873642 PMCID: PMC7519270 DOI: 10.1073/pnas.2013267117] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Avian-origin influenza viruses overcome the bottleneck of the interspecies barrier and infect humans through the evolution of variants toward more efficient replication in mammals. The dynamic adaptation of the genetic substitutions and the correlation with the virulence of avian-origin influenza virus in patients remain largely elusive. Here, based on the one-health approach, we retrieved the original virus-positive samples from patients with H7N9 and their surrounding poultry/environment. The specimens were directly deep sequenced, and the subsequent big data were integrated with the clinical manifestations. Unlike poultry/environment-derived samples with the consistent dominance of avian signature 627E of H7N9 polymerase basic protein 2 (PB2), patient specimens had diverse ratios of mammalian signature 627K, indicating the rapid dynamics of H7N9 adaptation in patients during the infection process. In contrast, both human- and poultry/environment-related viruses had constant dominance of avian signature PB2-701D. The intrahost dynamic adaptation was confirmed by the gradual replacement of 627E by 627K in H7N9 in the longitudinally collected specimens from one patient. These results suggest that host adaptation for better virus replication to new hosts, termed "genetic tuning," actually occurred in H7N9-infected patients in vivo. Notably, our findings also demonstrate the correlation between rapid host adaptation of H7N9 PB2-E627K and the fatal outcome and disease severity in humans. The feature of H7N9 genetic tuning in vivo and its correlation with the disease severity emphasize the importance of testing for the evolution of this avian-origin virus during the course of infection.
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Affiliation(s)
- William J Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Diseases, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, 518112 Shenzhen, China
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206 Beijing, China
| | - Jun Li
- Hangzhou Center for Disease Control and Prevention, 310021 Hangzhou, China
| | - Rongrong Zou
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Diseases, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, 518112 Shenzhen, China
| | - Jingcao Pan
- Hangzhou Center for Disease Control and Prevention, 310021 Hangzhou, China
| | - Tao Jin
- BGI-Shenzhen, 518083 Shenzhen, China
- China National GeneBank, BGI-Shenzhen, 518083 Shenzhen, China
| | | | - Peipei Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206 Beijing, China
| | - Yingze Zhao
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206 Beijing, China
| | - Xinfen Yu
- Hangzhou Center for Disease Control and Prevention, 310021 Hangzhou, China
| | - Haoqiu Wang
- Hangzhou Center for Disease Control and Prevention, 310021 Hangzhou, China
| | - Guang Liu
- BGI-Shenzhen, 518083 Shenzhen, China
- China National GeneBank, BGI-Shenzhen, 518083 Shenzhen, China
| | - Hui Jiang
- BGI-Shenzhen, 518083 Shenzhen, China
- China National GeneBank, BGI-Shenzhen, 518083 Shenzhen, China
| | - Yuhai Bi
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Diseases, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, 518112 Shenzhen, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, 100101 Beijing, China
- Center for Influenza Research and Early-Warning, Chinese Academy of Sciences, 100101 Beijing, China
| | - Lei Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Diseases, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, 518112 Shenzhen, China
| | - Kwok-Yung Yuen
- State Key Laboratory of Emerging Infectious Diseases and the HKU-Shenzhen Hospital, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Diseases, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, 518112 Shenzhen, China;
| | - George F Gao
- Shenzhen Key Laboratory of Pathogen and Immunity, State Key Discipline of Infectious Diseases, Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, 518112 Shenzhen, China;
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206 Beijing, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, 100101 Beijing, China
- Center for Influenza Research and Early-Warning, Chinese Academy of Sciences, 100101 Beijing, China
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8
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Blackburn RM, Frampton D, Smith CM, Fragaszy EB, Watson SJ, Ferns RB, Binter Š, Coen PG, Grant P, Shallcross LJ, Kozlakidis Z, Pillay D, Kellam P, Hué S, Nastouli E, Hayward AC. Nosocomial transmission of influenza: A retrospective cross-sectional study using next generation sequencing at a hospital in England (2012-2014). Influenza Other Respir Viruses 2019; 13:556-563. [PMID: 31536169 PMCID: PMC6800305 DOI: 10.1111/irv.12679] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 08/21/2019] [Accepted: 08/25/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The extent of transmission of influenza in hospital settings is poorly understood. Next generation sequencing may improve this by providing information on the genetic relatedness of viral strains. OBJECTIVES We aimed to apply next generation sequencing to describe transmission in hospital and compare with methods based on routinely-collected data. METHODS All influenza samples taken through routine care from patients at University College London Hospitals NHS Foundation Trust (September 2012 to March 2014) were included. We conducted Illumina sequencing and identified genetic clusters. We compared nosocomial transmission estimates defined using classical methods (based on time from admission to sample) and genetic clustering. We identified pairs of cases with space-time links and assessed genetic relatedness. RESULTS We sequenced influenza sampled from 214 patients. There were 180 unique genetic strains, 16 (8.8%) of which seeded a new transmission chain. Nosocomial transmission was indicated for 32 (15.0%) cases using the classical definition and 34 (15.8%) based on genetic clustering. Of the 50 patients in a genetic cluster, 11 (22.0%) had known space-time links with other cases in the same cluster. Genetic distances between pairs of cases with space-time links were lower than for pairs without spatial links (P < .001). CONCLUSIONS Genetic data confirmed that nosocomial transmission contributes significantly to the hospital burden of influenza and elucidated transmission chains. Prospective next generation sequencing could support outbreak investigations and monitor the impact of infection and control measures.
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Affiliation(s)
| | | | | | - Ellen B. Fragaszy
- Institute of Health InformaticsUCLLondonUK
- Department of Infectious Disease EpidemiologyFaculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Simon J. Watson
- Wellcome Trust Sanger InstituteWellcome Trust Genome CampusHinxtonUK
| | - R. Bridget Ferns
- Clinical Microbiology and VirologyUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Špela Binter
- Wellcome Trust Sanger InstituteWellcome Trust Genome CampusHinxtonUK
| | - Pietro G. Coen
- Infection Control DepartmentUniversity College London HospitalsNHS Foundation TrustLondonUK
| | - Paul Grant
- Clinical Microbiology and VirologyUniversity College London Hospitals NHS Foundation TrustLondonUK
| | | | - Zisis Kozlakidis
- Institute of Health InformaticsUCLLondonUK
- International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Deenan Pillay
- Division of Infection and ImmunityUCLLondonUK
- Africa Health Research InstituteDurbanSouth Africa
| | - Paul Kellam
- Wellcome Trust Sanger InstituteWellcome Trust Genome CampusHinxtonUK
| | - Stéphane Hué
- Department of Infectious Disease EpidemiologyFaculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Eleni Nastouli
- Clinical Microbiology and VirologyUniversity College London Hospitals NHS Foundation TrustLondonUK
- Department of Population, Policy and PracticeUCL Institute of Child HealthLondonUK
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9
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Hui DS, Ng SS. Recommended hospital preparations for future cases and outbreaks of novel influenza viruses. Expert Rev Respir Med 2019; 14:41-50. [PMID: 31648548 DOI: 10.1080/17476348.2020.1683448] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Introduction: Seasonal influenza epidemics and periodic pandemics are important causes of morbidity and mortality. Influenza transmits predominantly by respiratory droplets and fomites but opportunistic airborne transmission may occur in the hospital setting due to overcrowding, poor compliance with infection control measures, and performance of aerosol-generating procedures.Areas covered: This article reviews the risk factors of nosocomial influenza outbreaks and discusses clinical, diagnostic, and treatment aspects of seasonal and avian influenza to facilitate hospital preparations for future influenza outbreaks. Literature search was conducted through PubMed of relevant peer-reviewed full papers in English journals with inclusion of relevant publications by the WHO and US CDC.Expert opinion: Accurate and rapid identification of an influenza outbreak is important to facilitate patient care and prevent nosocomial transmission. Timely treatment with a neuraminidase inhibitor (NAI) for adults hospitalized with severe influenza is associated with lower mortality and better clinical outcomes. Baloxavir, a polymerase endonuclease inhibitor, offers a new treatment alternative and its role in combination with NAI for treatment of severe influenza is being investigated. High-dose systemic corticosteroids are associated with worse outcomes in patients with severe influenza. It is important to develop more effective antiviral and immuno-modulating therapies for the treatment of influenza infections.
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Affiliation(s)
- David Sc Hui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Stanley Ho Center for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Susanna Ss Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong
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10
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Nosocomial Transmission of Emerging Viruses via Aerosol-Generating Medical Procedures. Viruses 2019; 11:v11100940. [PMID: 31614743 PMCID: PMC6832307 DOI: 10.3390/v11100940] [Citation(s) in RCA: 188] [Impact Index Per Article: 37.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 10/01/2019] [Accepted: 10/03/2019] [Indexed: 12/14/2022] Open
Abstract
Recent nosocomial transmission events of emerging and re-emerging viruses, including Ebola virus, Middle East respiratory syndrome coronavirus, Nipah virus, and Crimean–Congo hemorrhagic fever orthonairovirus, have highlighted the risk of nosocomial transmission of emerging viruses in health-care settings. In particular, concerns and precautions have increased regarding the use of aerosol-generating medical procedures when treating patients with such viral infections. In spite of increasing associations between aerosol-generating medical procedures and the nosocomial transmission of viruses, we still have a poor understanding of the risks of specific procedures and viruses. In order to identify which aerosol-generating medical procedures and emerging viruses pose a high risk to health-care workers, we explore the mechanisms of aerosol-generating medical procedures, as well as the transmission pathways and characteristics of highly pathogenic viruses associated with nosocomial transmission. We then propose how research, both in clinical and experimental settings, could advance current infection control guidelines.
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11
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Characterization of antibody and memory T-cell response in H7N9 survivors: a cross-sectional analysis. Clin Microbiol Infect 2019; 26:247-254. [PMID: 31229595 DOI: 10.1016/j.cmi.2019.06.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 05/23/2019] [Accepted: 06/13/2019] [Indexed: 12/29/2022]
Abstract
OBJECTIVES Despite the importance of immunological memory for protective immunity against viral infection, whether H7N9-specific antibodies and memory T-cell responses remain detectable years after the original infection is unknown. METHODS A cross-sectional study was conducted to investigate the immune memory responses of H7N9 patients who contracted the disease and survived during the 2013-2016 epidemics in China. Sustainability of antibodies and T-cell memory to H7N9 virus were examined. Healthy individuals receiving routine medical examinations in a physical examination centre were recruited as control. RESULTS A total of 75 survivors were enrolled and classified into four groups based on the time elapsed from illness onset to specimen collection: 3 months (n = 14), 14 months (n = 14), 26 months (n = 28) and 36 months (n = 19). Approximately 36 months after infection, the geometric mean titres of virus-specific antibodies were significantly lower than titres in patients 3 months after infection, but 16 of 19 (84.2%) survivors in the 36-month interval had microneutralization (MN) titres ≥40. Despite the overall declining trend, the percentages of virus-specific cytokine-secreting memory CD4+ and CD8+ T cells remained higher in survivors at nearly all time-points in comparison with control individuals. Linear regression analysis showed that severe disease (mean titre ratio 2.77, 95% CI 1.17-6.49) was associated with higher haemagglutination inhibition (HI) titre and female sex for both HI (1.92, 1.02-3.57) and MN (3.33, 1.26-9.09) antibody, whereas female sex (mean percentage ratio 1.69, 95% CI 1.08-2.63), underlying medical conditions (1.94, 95% CI 1.09-3.46) and lack of antiviral therapy (2.08, 95% CI 1.04-4.17) were predictors for higher T-cell responses. CONCLUSIONS Survivors of H7N9 virus infection produced long-term antibodies and memory T-cell responses. Our findings warrant further serological investigation in general and high-risk populations and have important implications for vaccine design and development.
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Su K, Ye S, Li Q, Xie W, Yu H, Qi L, Xiong Y, Zhao H, Li B, Ling H, Tang Y, Xiao B, Rong R, Tang W, Li Y. Influenza A(H7N9) virus emerged and resulted in human infections in Chongqing, southwestern China since 2017. Int J Infect Dis 2019; 81:244-250. [PMID: 30797966 DOI: 10.1016/j.ijid.2019.02.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 02/07/2019] [Accepted: 02/13/2019] [Indexed: 12/09/2022] Open
Abstract
OBJECTIVES Influenza A(H7N9) virus has emerged and resulted in human infections in Chongqing, southwestern China since 2017. This study aimed to describe the epidemiological characteristics of the first epidemic in this region. METHODS The epidemiological data of patients were collected. Live poultry markets (LPMs), commercial poultry farms (CPFs) and backyard poultry farms (BPFs) were monitored, and poultry sources were registered. Samples derived from the patients, their close contacts, and the environments were tested for influenza A(H7N9) virus by real-time reverse transcriptase polymerase chain reaction. Genetic sequencing and phylogenetic analysis were also conducted. RESULTS Since the confirmation of the first patient infected with influenza A(H7N9) virus on March 5, 2017, nine patients had been identified within four months in Chongqing. Their mean age was 45 years, 77.8% were male, 66.7% were urban residents and 55.6% were of poultry related occupation. All patients became infected after exposure to live chickens. The median time interval from initial detection of influenza A(H7N9) virus in Chongqing to the patients' onset was 75 days. Since initial detection in February 2017, influenza A(H7N9) virus was detected in 21 (53.8%) counties within four months. The proportion of positive samples was 2.94% (337/11,451) from February 2017 to May 2018, and was higher (χ2=75.78, P<0.001) in LPMs (3.66%, 329/8979) than that in CPFs (0.41%, 5/1229) and BPFs (0.24%, 3/1243). The proportion of positive samples (34.4%, 22/64) at the premises to which the patients were exposed was significantly higher than that (5.7%, 257/4474) in premises with no patients. Phylogenetic analysis indicated that the viruses isolated in Chongqing belonged to the Yangtze River Delta lineage and resembled those circulated in Jiangsu and Anhui provinces between late 2016 and early 2017. CONCLUSION Influenza A(H7N9) virus was newly introduced into Chongqing most likely between late 2016 and early 2017, which swept across half of Chongqing territory and resulted in human infections within months. The most impacted premises and population were LPMs and poultry related workers respectively in the epidemic.
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Affiliation(s)
- Kun Su
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, People's Republic of China; Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Sheng Ye
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Qin Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Weijia Xie
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, People's Republic of China
| | - Hongyue Yu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, People's Republic of China
| | - Li Qi
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Yu Xiong
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Han Zhao
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Baisong Li
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Hua Ling
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Yun Tang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Bangzhong Xiao
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Rong Rong
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China
| | - Wenge Tang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing 400042, People's Republic of China.
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, People's Republic of China.
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13
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Bing-Yuan, Zhang YH, Leung NH, Cowling BJ, Yang ZF. Role of viral bioaerosols in nosocomial infections and measures for prevention and control. JOURNAL OF AEROSOL SCIENCE 2018; 117:200-211. [PMID: 32226118 PMCID: PMC7094610 DOI: 10.1016/j.jaerosci.2017.11.011] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Revised: 11/21/2017] [Accepted: 11/23/2017] [Indexed: 09/21/2023]
Abstract
The presence of patients with diverse pathologies in hospitals results in an environment that can be rich in various microorganisms including respiratory and enteric viruses, leading to outbreaks in hospitals or spillover infections to the community. All hospital patients are at risk of nosocomial viral infections, but vulnerable groups such as older adults, children and immuno-compromised/-suppressed patients are at particular risk of severe outcomes including prolonged hospitalization or death. These pathogens could transmit through direct or indirect physical contact, droplets or aerosols, with increasing evidence suggesting the importance of aerosol transmission in nosocomial infections of respiratory and enteric viruses. Factors affecting the propensity to transmit and the severity of disease transmitted via the aerosol route include the biological characteristics affecting infectivity of the viruses and susceptibility of the host, the physical properties of aerosol particles, and the environmental stresses that alter these properties such as temperature and humidity. Non-specific systematic and individual-based interventions designed to mitigate the aerosol route are available although empirical evidence of their effectiveness in controlling transmission of respiratory and enteric viruses in healthcare settings are sparse. The relative importance of aerosol transmission in healthcare setting is still an on-going debate, with particular challenge being the recovery of infectious viral bioaerosols from real-life settings and the difficulty in delineating transmission events that may also be a result of other modes of transmission. For the prevention and control of nosocomial infections via the aerosol route, more research is needed on identifying settings, medical procedures or equipment that may be associated with an increased risk of aerosol transmission, including defining which procedures are aerosol-generating; and on the effectiveness of systematic interventions on aerosol transmission of respiratory and enteric viruses in healthcare settings.
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Affiliation(s)
- Bing-Yuan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, No. 151, Yanjiangxi Road, Yuexiu District, Guangzhou, Guangdong 510120, China
- Department of Respiration, First People's Hospital of Yunnan Province, 157, Jinbi Road, Kunming, Yunnan 650032, China
| | - Yun-Hui Zhang
- Department of Respiration, First People's Hospital of Yunnan Province, 157, Jinbi Road, Kunming, Yunnan 650032, China
| | - Nancy H.L. Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Patrick Manson Building (North Wing), 7 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Patrick Manson Building (North Wing), 7 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Zi-Feng Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, No. 151, Yanjiangxi Road, Yuexiu District, Guangzhou, Guangdong 510120, China
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14
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Zhou L, Chen E, Bao C, Xiang N, Wu J, Wu S, Shi J, Wang X, Zheng Y, Zhang Y, Ren R, Greene CM, Havers F, Iuliano AD, Song Y, Li C, Chen T, Wang Y, Li D, Ni D, Zhang Y, Feng Z, Uyeki TM, Li Q. Clusters of Human Infection and Human-to-Human Transmission of Avian Influenza A(H7N9) Virus, 2013-2017. Emerg Infect Dis 2018; 24. [PMID: 29165238 PMCID: PMC5782887 DOI: 10.3201/eid2402.171565] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
To detect changes in human-to-human transmission of influenza A(H7N9) virus, we analyzed characteristics of 40 clusters of case-patients during 5 epidemics in China in 2013–2017. Similarities in number and size of clusters and proportion of clusters with probable human-to-human transmission across all epidemics suggest no change in human-to-human transmission risk.
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15
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McKimm-Breschkin JL, Jiang S, Hui DS, Beigel JH, Govorkova EA, Lee N. Prevention and treatment of respiratory viral infections: Presentations on antivirals, traditional therapies and host-directed interventions at the 5th ISIRV Antiviral Group conference. Antiviral Res 2018; 149:118-142. [PMID: 29162476 PMCID: PMC7133686 DOI: 10.1016/j.antiviral.2017.11.013] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 11/14/2017] [Indexed: 12/17/2022]
Abstract
The International Society for Influenza and other Respiratory Virus Diseases held its 5th Antiviral Group (isirv-AVG) Conference in Shanghai, China, in conjunction with the Shanghai Public Health Center and Fudan University from 14-16 June 2017. The three-day programme encompassed presentations on some of the clinical features, management, immune responses and virology of respiratory infections, including influenza A(H1N1)pdm09 and A(H7N9) viruses, MERS-CoV, SARS-CoV, adenovirus Type 80, enterovirus D68, metapneumovirus and respiratory syncytial virus (RSV). Updates were presented on several therapeutics currently in clinical trials, including influenza polymerase inhibitors pimodivir/JNJ6362387, S033188, favipiravir, monoclonal antibodies MHAA45449A and VIS410, and host directed strategies for influenza including nitazoxanide, and polymerase ALS-008112 and fusion inhibitors AK0529, GS-5806 for RSV. Updates were also given on the use of the currently licensed neuraminidase inhibitors. Given the location in China, there were also presentations on the use of Traditional Chinese Medicines. Following on from the previous conference, there were ongoing discussions on appropriate endpoints for severe influenza in clinical trials from regulators and clinicians, an issue which remains unresolved. The aim of this conference summary is to provide information for not only conference participants, but a detailed referenced review of the current status of clinical trials, and pre-clinical development of therapeutics and vaccines for influenza and other respiratory diseases for a broader audience.
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Affiliation(s)
| | - Shibo Jiang
- College of Basic Medical Sciences, Fudan University, Shanghai, China; Lindsley F. Kimball Research Institute, New York Blood Center, NY, USA
| | - David S Hui
- Department of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - John H Beigel
- Leidos Biomedical Research, Inc., Support to National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), Bethesda, MD, USA
| | - Elena A Govorkova
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, USA
| | - Nelson Lee
- Faculty of Medicine and Dentistry, University of Alberta, Canada
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16
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Research progress in human infection with avian influenza H7N9 virus. SCIENCE CHINA-LIFE SCIENCES 2017; 60:1299-1306. [DOI: 10.1007/s11427-017-9221-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 11/06/2017] [Indexed: 12/26/2022]
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17
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Hui DSC, Lee N, Chan PKS. Avian influenza A (H7N9) virus infections in humans across five epidemics in mainland China, 2013-2017. J Thorac Dis 2017; 9:4808-4811. [PMID: 29312663 DOI: 10.21037/jtd.2017.11.17] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- David S C Hui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.,Stanley Ho Center for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China
| | - Nelson Lee
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.,Division of Infectious Diseases, University of Alberta, Edmonton, Canada
| | - Paul K S Chan
- Stanley Ho Center for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China.,Department of Microbiology, The Chinese University of Hong Kong, Hong Kong, China
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18
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Han M, Gu J, Gao GF, Liu WJ. China in action: national strategies to combat against emerging infectious diseases. SCIENCE CHINA. LIFE SCIENCES 2017; 60:1383-1385. [PMID: 28887624 PMCID: PMC7088851 DOI: 10.1007/s11427-017-9141-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 07/20/2017] [Indexed: 12/17/2022]
Affiliation(s)
- Min Han
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jinhui Gu
- Division of Major Special Projects, Department of Health Science, Technology and Education at China's National Health and Family Planning Commission, Beijing, 100044, China
| | - George F Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - William J Liu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
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19
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Liu B, Havers FP, Zhou L, Zhong H, Wang X, Mao S, Li H, Ren R, Xiang N, Shu Y, Zhou S, Liu F, Chen E, Zhang Y, Widdowson MA, Li Q, Feng Z. Clusters of Human Infections With Avian Influenza A(H7N9) Virus in China, March 2013 to June 2015. J Infect Dis 2017; 216:S548-S554. [PMID: 28934462 DOI: 10.1093/infdis/jix098] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Multiple clusters of human infections with novel avian influenza A(H7N9) virus have occurred since the virus was first identified in spring 2013. However, in many situations it is unclear whether these clusters result from person-to-person transmission or exposure to a common infectious source. We analyzed the possibility of person-to-person transmission in each cluster and developed a framework to assess the likelihood that person-to-person transmission had occurred. We described 21 clusters with 22 infected contact cases that were identified by the Chinese Center for Disease Control and Prevention from March 2013 through June 2015. Based on detailed epidemiological information and the timing of the contact case patients' exposures to infected persons and to poultry during their potential incubation period, we graded the likelihood of person-to-person transmission as probable, possible, or unlikely. We found that person-to-person transmission probably occurred 12 times and possibly occurred 4 times; it was unlikely in 6 clusters. Probable nosocomial transmission is likely to have occurred in 2 clusters. Limited person-to-person transmission is likely to have occurred on multiple occasions since the H7N9 virus was first identified. However, these transmission events represented a small fraction of all identified cases of H7N9 human infection, and sustained person-to-person transmission was not documented.
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Affiliation(s)
- Bo Liu
- Public Health Emergency Center
| | - Fiona P Havers
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Haojie Zhong
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou
| | - Xianjun Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan
| | - Shenghua Mao
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai
| | - Hai Li
- Guangxi Provincial Center for Disease Control and Prevention, Nanning
| | | | | | - Yuelong Shu
- Institute for Viral Disease Control and Prevention
| | - Suizan Zhou
- China Office, US Centers for Disease Control and Prevention, Beijing
| | - Fuqiang Liu
- Hunan Provincial Center for Disease Control and Prevention, Changsha City
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | | | - Marc-Alain Widdowson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Qun Li
- Public Health Emergency Center
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention
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20
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Hui DSC, Lee N, Chan PKS. A clinical approach to the threat of emerging influenza viruses in the Asia-Pacific region. Respirology 2017; 22:1300-1312. [PMID: 28677861 PMCID: PMC7169066 DOI: 10.1111/resp.13114] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 04/19/2017] [Accepted: 05/14/2017] [Indexed: 12/22/2022]
Abstract
Seasonal influenza epidemics and periodic pandemics are important causes of morbidity and mortality. Patients with chronic co‐morbid illness, those at the extremes of age and pregnant women are at higher risks of complications requiring hospitalization, whereas young adults and obese individuals were also at increased risk during the A(H1N1) pandemic in 2009. Avian influenza A(H5N1) and A(H7N9) viruses have continued to circulate widely in some poultry populations and infect humans sporadically since 1997 and 2013, respectively. The recent upsurge in human cases of A(H7N9) infections in Mainland China is of great concern. Sporadic human cases of avian A(H5N6), A(H10N8) and A(H6N1) have also emerged in recent years while there are also widespread poultry outbreaks due to A(H5N8) in many countries. Observational studies have shown that treatment with a neuraminidase inhibitor (NAI) for adults hospitalized with severe influenza is associated with lower mortality and better clinical outcomes, especially when administered early in the course of illness. Whether higher than standard doses of NAI would provide greater antiviral effects in such patients will require further investigation. High‐dose systemic corticosteroids were associated with worse outcomes in patients with severe influenza. There is an urgent need for developing more effective antiviral therapies for treatment of influenza infections.
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Affiliation(s)
- David S C Hui
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Stanley Ho Center for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Nelson Lee
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, Hong Kong.,Stanley Ho Center for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Paul K S Chan
- Stanley Ho Center for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong.,Department of Microbiology, The Chinese University of Hong Kong, Shatin, Hong Kong
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21
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Xiang N, Li X, Ren R, Wang D, Zhou S, Greene CM, Song Y, Zhou L, Yang L, Davis CT, Zhang Y, Wang Y, Zhao J, Li X, Iuliano AD, Havers F, Olsen SJ, Uyeki TM, Azziz-Baumgartner E, Trock S, Liu B, Sui H, Huang X, Zhang Y, Ni D, Feng Z, Shu Y, Li Q. Assessing Change in Avian Influenza A(H7N9) Virus Infections During the Fourth Epidemic - China, September 2015-August 2016. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT 2016; 65:1390-1394. [PMID: 27977644 DOI: 10.15585/mmwr.mm6549a2] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Since human infections with avian influenza A(H7N9) virus were first reported by the Chinese Center for Disease Control and Prevention (China CDC) in March 2013 (1), mainland China has experienced four influenza A(H7N9) virus epidemics. Prior investigations demonstrated that age and sex distribution, clinical features, and exposure history of A(H7N9) virus human infections reported during the first three epidemics were similar (2). In this report, epidemiology and virology data from the most recent, fourth epidemic (September 2015-August 2016) were compared with those from the three earlier epidemics. Whereas age and sex distribution and exposure history in the fourth epidemic were similar to those in the first three epidemics, the fourth epidemic demonstrated a greater proportion of infected persons living in rural areas, a continued spread of the virus to new areas, and a longer epidemic period. The genetic markers of mammalian adaptation and antiviral resistance remained similar across each epidemic, and viruses from the fourth epidemic remained antigenically well matched to current candidate vaccine viruses. Although there is no evidence of increased human-to-human transmissibility of A(H7N9) viruses, the continued geographic spread, identification of novel reassortant viruses, and pandemic potential of the virus underscore the importance of rigorous A(H7N9) virus surveillance and continued risk assessment in China and neighboring countries.
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22
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Liu WJ, Tan S, Zhao M, Quan C, Bi Y, Wu Y, Zhang S, Zhang H, Xiao H, Qi J, Yan J, Liu W, Yu H, Shu Y, Wu G, Gao GF. Cross-immunity Against Avian Influenza A(H7N9) Virus in the Healthy Population Is Affected by Antigenicity-Dependent Substitutions. J Infect Dis 2016; 214:1937-1946. [PMID: 27738054 DOI: 10.1093/infdis/jiw471] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 09/29/2016] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The emergence of infections by the novel avian influenza A(H7N9) virus has posed a threat to human health. Cross-immunity between A(H7N9) and other heterosubtypic influenza viruses affected by antigenicity-dependent substitutions needs to be investigated. METHODS We investigated the cellular and humoral immune responses against A(H7N9) and 2009 pandemic influenza A(H1N1) virus (A[H1N1]pdm09), by serological and T-cell-specific assays, in a healthy population. The molecular bases of the cellular and humoral antigenic variability of A(H7N9) were illuminated by structural determination. RESULTS We not only found that antibodies against A(H7N9) were lacking in the studied population, but also revealed that both CD4+ and CD8+ T cells that cross-reacted with A(H7N9) were at significantly lower levels than those against the A(H1N1)pdm09 peptides with substitutions. Moreover, individual peptides for A(H7N9) with low cross-reactivity were identified. Structural determination indicated that substitutions within these peptides influence the antigenic variability of A(H7N9) through both major histocompatibility complex (MHC) binding and T-cell receptor docking. CONCLUSIONS The impact of antigenicity-dependent substitutions on cross-reactivity of T-cell immunity against the novel influenza virus A(H7N9) in the healthy population benefits the understanding of immune evasion of influenza viruses and provides a useful reference for universal vaccine development.
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Affiliation(s)
- William J Liu
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention.,College of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou
| | - Shuguang Tan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology.,University of Chinese Academy of Sciences, Beijing
| | - Min Zhao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology.,University of Chinese Academy of Sciences, Beijing
| | - Chuansong Quan
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Ying Wu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Shuijun Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Haifeng Zhang
- College of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou
| | - Haixia Xiao
- Laboratory of Protein Engineering and Vaccine, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China
| | - Jianxun Qi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Jinghua Yan
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Center for Disease Control and Prevention
| | - Yuelong Shu
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention
| | - Guizhen Wu
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention
| | - George F Gao
- Key Laboratory of Medical Virology, Ministry of Health, National Institute for Viral Disease Control and Prevention.,CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology.,Research Network of Immunity and Health, Beijing Institutes of Life Science, Chinese Academy of Sciences.,University of Chinese Academy of Sciences, Beijing.,College of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou
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