1
|
Panickan S, Bhatia S, Bhat S, Bhandari N, Pateriya AK, Kalaiyarasu S, Sood R, Tripathi M. Reverse genetics based H5N2 vaccine provides clinical protection against H5N1, H5N8 and H9N2 avian influenza infection in chickens. Vaccine 2022; 40:6998-7008. [PMID: 36374710 DOI: 10.1016/j.vaccine.2022.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/07/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022]
Abstract
The current study aimed to develop broadly protective vaccines for avian influenza. In an earlier study, HA stalk (universal flu vaccine) was found to be broadly protective against different subtypes of influenza virus in mice. Hence, we were interested to know its breadth of protective efficacy either alone or combined with inactivated rgH5N2 (clade 2.3.2.1a) vaccine against challenge viruses of homologous H5N1, heterologous H5N8 (clade 2.3.4.4) and heterosubtypic H9N2 virus in specific pathogen-free chickens. The rgH5N2 vaccine alone or in combination with HA stalk elicited sufficient pre-challenge immunity in the form of haemagglutination inhibiting (HI) antibodies and neutralizing antibodies (MNT) against H5N1, H5N8, and H9N2 in chickens. The rgH5N2 vaccine alone or in combination with HA stalk also attenuated the shedding of H5N1, H5N8 and H9N2 in chickens and protected against the lethal challenge of H5N1 or H5N8. In contrast, all HA stalk immunised chickens died upon H5N1 or H5N8 challenge and H9N2 challenged chickens survived. Our study suggests that the rgH5N2 vaccine can provide clinical protection against H5N1, H5N8 and can attenuate the viral shedding of H9N2 in chickens.
Collapse
Affiliation(s)
- Sivasankar Panickan
- Immunology Section, ICAR-Indian Veterinary Research Institute, Izatnagar, Uttar Pradesh 243122, India; ICAR- National Institute of High Security Animal Diseases, Bhopal 462022, India.
| | - Sandeep Bhatia
- ICAR- National Institute of High Security Animal Diseases, Bhopal 462022, India.
| | - Sushant Bhat
- The Pirbright Institute, Ash Road, Woking, Surrey GU24 ONF, United Kingdom
| | - Nisha Bhandari
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore 560012, India
| | - Atul Kumar Pateriya
- ICAR- National Institute of High Security Animal Diseases, Bhopal 462022, India
| | | | - Richa Sood
- ICAR- National Institute of High Security Animal Diseases, Bhopal 462022, India
| | - Meghna Tripathi
- ICAR- National Institute of High Security Animal Diseases, Bhopal 462022, India
| |
Collapse
|
2
|
Hierarchical Clustering on Principal Components Analysis to Detect Clusters of Highly Pathogenic Avian Influenza Subtype H5N6 Epidemic across South Korean Poultry Farms. Symmetry (Basel) 2022. [DOI: 10.3390/sym14030598] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Several outbreaks of highly pathogenic avian influenza (HPAI) in poultry have already been documented across the world, causing major economic losses. Research on diverse perspectives for future HPAI outbreaks’ prevention is desperately needed. It is critical to determine high-risk areas for HPAI outbreaks in order to develop high-level biosecurity in all such areas. The aim of this study is to identify high-risk areas as hotspots for high rates of birds’ infection and mortality and culling. We used “hierarchical clustering on principal components” (HCPC) to classify infected poultry farms in South Korea based on the point prevalence rate, infections, and deaths in susceptible birds. The linear combination of the original predictors was determined using “principal component analysis (PCA)”. Based on PCA, we applied the hierarchical clustering algorithm, which divided the data into four clusters based on the dissimilarity matrix. These four groups of poultry farms were identified on the basis of five variables. According to the findings based on the HCPC method, poultry farms in “cluster 4” had significantly higher average bird infections with high mortality when compared to other clusters. Similarly, the poultry farms in “cluster 2” had robust average bird culling in place to limit bird infectivity and mortality due to a high number of susceptible birds. The poultry farms belonging to “cluster 3” had a significantly higher average point prevalence rate of HPAI H5N6 cases than the rest of the clusters. Based on this study, it is recommended that poultry farms with a high number of infections and mortality in susceptible birds should implement proper biosecurity management to control HPAI infections while avoiding the culling of a large number of birds.
Collapse
|
3
|
Sadilek A, Liu L, Nguyen D, Kamruzzaman M, Serghiou S, Rader B, Ingerman A, Mellem S, Kairouz P, Nsoesie EO, MacFarlane J, Vullikanti A, Marathe M, Eastham P, Brownstein JS, Arcas BAY, Howell MD, Hernandez J. Privacy-first health research with federated learning. NPJ Digit Med 2021; 4:132. [PMID: 34493770 PMCID: PMC8423792 DOI: 10.1038/s41746-021-00489-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 07/21/2021] [Indexed: 11/29/2022] Open
Abstract
Privacy protection is paramount in conducting health research. However, studies often rely on data stored in a centralized repository, where analysis is done with full access to the sensitive underlying content. Recent advances in federated learning enable building complex machine-learned models that are trained in a distributed fashion. These techniques facilitate the calculation of research study endpoints such that private data never leaves a given device or healthcare system. We show-on a diverse set of single and multi-site health studies-that federated models can achieve similar accuracy, precision, and generalizability, and lead to the same interpretation as standard centralized statistical models while achieving considerably stronger privacy protections and without significantly raising computational costs. This work is the first to apply modern and general federated learning methods that explicitly incorporate differential privacy to clinical and epidemiological research-across a spectrum of units of federation, model architectures, complexity of learning tasks and diseases. As a result, it enables health research participants to remain in control of their data and still contribute to advancing science-aspects that used to be at odds with each other.
Collapse
Affiliation(s)
| | | | - Dung Nguyen
- Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA
- Department of Computer Science, University of Virginia, Charlottesville, VA, USA
| | - Methun Kamruzzaman
- Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA
| | | | - Benjamin Rader
- Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA
- Department of Epidemiology, Boston University, Boston, MA, USA
| | | | | | | | | | | | - Anil Vullikanti
- Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA
- Department of Computer Science, University of Virginia, Charlottesville, VA, USA
| | - Madhav Marathe
- Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA
- Department of Computer Science, University of Virginia, Charlottesville, VA, USA
| | | | - John S Brownstein
- Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | | | | |
Collapse
|
4
|
Ellis JW, Root JJ, McCurdy LM, Bentler KT, Barrett NL, VanDalen KK, Dirsmith KL, Shriner SA. Avian influenza A virus susceptibility, infection, transmission, and antibody kinetics in European starlings. PLoS Pathog 2021; 17:e1009879. [PMID: 34460868 PMCID: PMC8432794 DOI: 10.1371/journal.ppat.1009879] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 09/10/2021] [Accepted: 08/09/2021] [Indexed: 01/22/2023] Open
Abstract
Avian influenza A viruses (IAVs) pose risks to public, agricultural, and wildlife health. Bridge hosts are spillover hosts that share habitat with both maintenance hosts (e.g., mallards) and target hosts (e.g., poultry). We conducted a comprehensive assessment of European starlings (Sturnus vulgaris), a common visitor to both urban and agricultural environments, to assess whether this species might act as a potential maintenance or bridge host for IAVs. First, we experimentally inoculated starlings with a wild bird IAV to investigate susceptibility and replication kinetics. Next, we evaluated whether IAV might spill over to starlings from sharing resources with a widespread IAV reservoir host. We accomplished this using a specially designed transmission cage to simulate natural environmental transmission by exposing starlings to water shared with IAV-infected mallards (Anas platyrhynchos). We then conducted a contact study to assess intraspecies transmission between starlings. In the initial experimental infection study, all inoculated starlings shed viral RNA and seroconverted. All starlings in the transmission study became infected and shed RNA at similar levels. All but one of these birds seroconverted, but detectable antibodies were relatively transient, falling to negative levels in a majority of birds by 59 days post contact. None of the contact starlings in the intraspecies transmission experiment became infected. In summary, we demonstrated that starlings may have the potential to act as IAV bridge hosts if they share water with IAV-infected waterfowl. However, starlings are unlikely to act as maintenance hosts due to limited, if any, intraspecies transmission. In addition, starlings have a relatively brief antibody response which should be considered when interpreting serology from field samples. Further study is needed to evaluate the potential for transmission from starlings to poultry, a possibility enhanced by starling's behavioral trait of forming very large flocks which can descend on poultry facilities when natural resources are scarce.
Collapse
Affiliation(s)
- Jeremy W. Ellis
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
| | - J. Jeffrey Root
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
| | - Loredana M. McCurdy
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
| | - Kevin T. Bentler
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
| | - Nicole L. Barrett
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
| | - Kaci K. VanDalen
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
| | - Katherine L. Dirsmith
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
| | - Susan A. Shriner
- National Wildlife Research Center—Wildlife Services, Animal Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, United States of America
- * E-mail:
| |
Collapse
|
5
|
Majumder MS, Rose S. A generalizable data assembly algorithm for infectious disease outbreaks. JAMIA Open 2021; 4:ooab058. [PMID: 34350393 PMCID: PMC8327373 DOI: 10.1093/jamiaopen/ooab058] [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: 05/04/2021] [Revised: 06/23/2021] [Accepted: 07/12/2021] [Indexed: 11/13/2022] Open
Abstract
During infectious disease outbreaks, health agencies often share text-based information about cases and deaths. This information is rarely machine-readable, thus creating challenges for outbreak researchers. Here, we introduce a generalizable data assembly algorithm that automatically curates text-based, outbreak-related information and demonstrate its performance across 3 outbreaks. After developing an algorithm with regular expressions, we automatically curated data from health agencies via 3 information sources: formal reports, email newsletters, and Twitter. A validation data set was also curated manually for each outbreak, and an implementation process was presented for application to future outbreaks. When compared against the validation data sets, the overall cumulative missingness and misidentification of the algorithmically curated data were ≤2% and ≤1%, respectively, for all 3 outbreaks. Within the context of outbreak research, our work successfully addresses the need for generalizable tools that can transform text-based information into machine-readable data across varied information sources and infectious diseases.
Collapse
Affiliation(s)
- Maimuna S Majumder
- Computational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Sherri Rose
- Center for Health Policy and Center for Primary Care and Outcomes Research, Stanford University, Stanford, California, USA
| |
Collapse
|
6
|
Yu Y, Tazeem, Xu Z, Du L, Jin M, Dong C, Zhou HB, Wu S. Design and synthesis of heteroaromatic-based benzenesulfonamide derivatives as potent inhibitors of H5N1 influenza A virus. MEDCHEMCOMM 2018; 10:89-100. [PMID: 31559005 DOI: 10.1039/c8md00474a] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Accepted: 11/23/2018] [Indexed: 01/04/2023]
Abstract
Influenza A virus is an enveloped negative single-stranded RNA virus that causes febrile respiratory infection and represents a clinically challenging threat to human health and even lives worldwide. Even more alarming is the emergence of highly pathogenic avian influenza (HPAI) strains such as H5N1, which possess much higher mortality rate (60%) than seasonal influenza strains in human infection. In this study, a novel series of heteroaromatic-based benzenesulfonamide derivatives were identified as M2 proton channel inhibitors. A systematic investigation of the structure-activity relationships and a molecular docking study demonstrated that the sulfonamide moiety and 2,5-dimethyl-substituted thiophene as the core structure played significant roles in the anti-influenza activity. Among the derivatives, compound 11k exhibited excellent antiviral activity against H5N1 virus with an EC50 value of 0.47 μM and selectivity index of 119.9, which are comparable to those of the reference drug amantadine.
Collapse
Affiliation(s)
- Yongshi Yu
- State Key Laboratory of Virology , College of Life Sciences , Wuhan University , Wuhan 430072 , China . .,Hubei Province Key Laboratory of Allergy and Immunology , Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals , Wuhan University School of Pharmaceutical Sciences , Wuhan 430071 , China .
| | - Tazeem
- Hubei Province Key Laboratory of Allergy and Immunology , Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals , Wuhan University School of Pharmaceutical Sciences , Wuhan 430071 , China . .,Department of Chemistry , Shia P. G. College (University of Lucknow) , Lucknow , Uttar Pradesh 226020 , India
| | - Zhichao Xu
- Hubei Province Key Laboratory of Allergy and Immunology , Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals , Wuhan University School of Pharmaceutical Sciences , Wuhan 430071 , China .
| | - Liaoqi Du
- State Key Laboratory of Virology , College of Life Sciences , Wuhan University , Wuhan 430072 , China .
| | - Mengyu Jin
- Hubei Province Key Laboratory of Allergy and Immunology , Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals , Wuhan University School of Pharmaceutical Sciences , Wuhan 430071 , China .
| | - Chune Dong
- Hubei Province Key Laboratory of Allergy and Immunology , Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals , Wuhan University School of Pharmaceutical Sciences , Wuhan 430071 , China .
| | - Hai-Bing Zhou
- Hubei Province Key Laboratory of Allergy and Immunology , Hubei Province Engineering and Technology Research Center for Fluorinated Pharmaceuticals , Wuhan University School of Pharmaceutical Sciences , Wuhan 430071 , China .
| | - Shuwen Wu
- State Key Laboratory of Virology , College of Life Sciences , Wuhan University , Wuhan 430072 , China .
| |
Collapse
|
7
|
Genomic and biological characterization of Newcastle disease viruses isolated from migratory mallards (Anas platyrhynchos). Arch Virol 2018; 163:2179-2188. [PMID: 29707734 DOI: 10.1007/s00705-018-3840-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 03/06/2018] [Indexed: 10/17/2022]
Abstract
Given the global evolutionary dynamics of Newcastle disease viruses (NDVs), it is imperative to continue extensive surveillance, routine monitoring and characterization of isolates originating from natural reservoirs (waterfowls). In this report, we isolated and characterized two virulent NDV strains from clinically healthy mallard (Anas platyrhynchos). Both isolates had a genome of 15,192 nucleotides encoding six genes in an order of 3´-NP-P-M-F-HN-L-5´. The biological characteristics (mean death time: 49.5-50 hr, EID50108.5 ml-1) and presence of a typical cleavage site in the fusion (F) protein (112R-R-Q-K-R↓F117) confirmed the velogenic nature of these isolates. Phylogenetic analysis classified both isolates as members of genotype VII within class-II. Furthermore, based upon the hypervariable region of the F gene (375 nt), isolates showed clustering within sub-genotype VIIi. Similarity index and parallel comparison revealed a higher nucleotide divergence from commonly used vaccine strains; LaSota (21%) and Mukteswar (17%). A comparative residues analysis with representative strains of different genotypes, including vaccine strains, revealed a number of substitutions at important structural and functional domains within the F and hemagglutinin-neuraminidase (HN) proteins. Together, the results highlight consistent evolution among circulating NDVs supporting extensive surveillance of the virus in waterfowl to better elucidate epidemiology, evolutionary relationships and their impacts on commercial and backyard poultry.
Collapse
|
8
|
Chatziprodromidou IP, Arvanitidou M, Guitian J, Apostolou T, Vantarakis G, Vantarakis A. Global avian influenza outbreaks 2010-2016: a systematic review of their distribution, avian species and virus subtype. Syst Rev 2018; 7:17. [PMID: 29368637 PMCID: PMC5784696 DOI: 10.1186/s13643-018-0691-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 01/17/2018] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND We conducted a systematic review to investigate avian influenza outbreaks and to explore their distribution, upon avian influenza subtype, country, avian species and other relating details as no comprehensive epidemiological analysis of global avian influenza outbreaks from 2010 to 2016 exists. METHODS Data was collated from four databases (Scopus, Web of Science Core Correlation, PubMed and SpringerLink electronic journal) and a global electronic reporting system (ProMED mail), using PRISMA and ORION systematic approaches. One hundred seventy three avian influenza virus outbreaks were identified and included in this review, alongside 198 ProMED mail reports. RESULTS Our research identified that the majority of the reported outbreaks occurred in 2016 (22.2%). These outbreaks were located in China (13.6%) and referred to commercial poultry farms (56.1%). The most common subtype reported in these outbreaks was H5N1 (38.2%), while almost 82.5% of the subtypes were highly pathogenic avian influenza viruses. There were differences noticed between ProMED mail and the scientific literature screened. CONCLUSIONS Avian influenza virus has been proved to be able to contaminate all types of avian species, including commercial poultry farms, wild birds, backyard domestic animals, live poultry, game birds and mixed poultry. The study focused on wet markets, slaughterhouses, wild habitats, zoos and natural parks, in both developed and developing countries. The impact of avian influenza virus seems disproportionate and could potentially burden the already existing disparities in the public health domain. Therefore, a collaboration between all the involved health sectors is considered to be more than necessary.
Collapse
Affiliation(s)
| | - Malamatenia Arvanitidou
- Department of Hygiene and Epidemiology, School of Medicine, University of Thessaloniki, Thessaloniki, Greece
| | | | - Thomas Apostolou
- Department of Physiotherapy, School of Health Professionals, Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece
| | | | - Apostolos Vantarakis
- Department of Public Health, School of Medicine, University of Patras, Patras, Greece
| |
Collapse
|
9
|
Gostic KM, Ambrose M, Worobey M, Lloyd-Smith JO. Potent protection against H5N1 and H7N9 influenza via childhood hemagglutinin imprinting. Science 2016; 354:722-726. [PMID: 27846599 PMCID: PMC5134739 DOI: 10.1126/science.aag1322] [Citation(s) in RCA: 316] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2016] [Accepted: 10/03/2016] [Indexed: 01/02/2023]
Abstract
Two zoonotic influenza A viruses (IAV) of global concern, H5N1 and H7N9, exhibit unexplained differences in age distribution of human cases. Using data from all known human cases of these viruses, we show that an individual's first IAV infection confers lifelong protection against severe disease from novel hemagglutinin (HA) subtypes in the same phylogenetic group. Statistical modeling shows that protective HA imprinting is the crucial explanatory factor, and it provides 75% protection against severe infection and 80% protection against death for both H5N1 and H7N9. Our results enable us to predict age distributions of severe disease for future pandemics and demonstrate that a novel strain's pandemic potential increases yearly when a group-mismatched HA subtype dominates seasonal influenza circulation. These findings open new frontiers for rational pandemic risk assessment.
Collapse
MESH Headings
- Age Factors
- Animals
- Child
- Genomic Imprinting
- Global Health
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Hemagglutinin Glycoproteins, Influenza Virus/immunology
- Humans
- Influenza A Virus, H5N1 Subtype/genetics
- Influenza A Virus, H5N1 Subtype/immunology
- Influenza A Virus, H7N9 Subtype/genetics
- Influenza A Virus, H7N9 Subtype/immunology
- Influenza, Human/epidemiology
- Influenza, Human/immunology
- Influenza, Human/virology
- Models, Statistical
- Pandemics/statistics & numerical data
- Risk Assessment
- Zoonoses/epidemiology
- Zoonoses/virology
Collapse
Affiliation(s)
- Katelyn M Gostic
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Monique Ambrose
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Michael Worobey
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.
| | - James O Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
- Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA
| |
Collapse
|
10
|
Phan TL, Ho VT, Vu MH, Nguyen TN, Duong HT, Holt R, Wahid R, Donnelly J, Flores J. Clinical testing of an inactivated influenza A/H5N1 vaccine candidate in a double-blinded, placebo-controlled, randomized trial in healthy adults in Vietnam. Vaccine 2016; 34:5449-5456. [PMID: 27591953 DOI: 10.1016/j.vaccine.2016.08.055] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 08/10/2016] [Accepted: 08/18/2016] [Indexed: 10/21/2022]
Abstract
We tested an inactivated egg-grown whole virus influenza A/H5N1 vaccine candidate developed by the Institute of Vaccines and Medical Biologicals (IVAC), a state-run vaccine manufacturer in Vietnam, in a Phase 1, placebo controlled, double blinded, randomized trial. The vaccine was adjuvanted with aluminum hydroxide. The trial enrolled 75 subjects who were randomized to receive two injections of one of the following: low-dose of vaccine (7.5 mcg HA), high-dose of vaccine (15 mcg HA), or placebo. The vaccine candidate was well tolerated with minimal local reactogenicity consisting of mild, short-lived injection site pain and/or tenderness. No systemic reactogenicity was observed other than transient low-grade fever in about 13% of the subjects and no unsolicited adverse events were attributable to product administration. Immune responses were assessed at baseline and after the first and second dose by hemagglutination inhibition (HAI) and microneutralization (MN) assays, with 72% of the high-dose and 68% of the low-dose vaccine recipients presenting a ⩾4-fold response in the HAI assay and 72% of the high-dose and 61% of the low-dose vaccine recipients exhibiting a ⩾4-fold response in the MN assay. These promising results support further development. ClinicalTrials.gov number NCT02171819, June 20, 2014.
Collapse
Affiliation(s)
| | | | | | | | - Huu Thai Duong
- Institute of Vaccines and Medical Biologicals, Nha Trang, Viet Nam
| | | | | | | | | |
Collapse
|
11
|
Nogales A, Baker SF, Domm W, Martínez-Sobrido L. Development and applications of single-cycle infectious influenza A virus (sciIAV). Virus Res 2016; 216:26-40. [PMID: 26220478 PMCID: PMC4728073 DOI: 10.1016/j.virusres.2015.07.013] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2015] [Revised: 07/05/2015] [Accepted: 07/13/2015] [Indexed: 02/06/2023]
Abstract
The diverse host range, high transmissibility, and rapid evolution of influenza A viruses justify the importance of containing pathogenic viruses studied in the laboratory. Other than physically or mechanically changing influenza A virus containment procedures, modifying the virus to only replicate for a single round of infection similarly ensures safety and consequently decreases the level of biosafety containment required to study highly pathogenic members in the virus family. This biological containment is more ideal because it is less apt to computer, machine, or human error. With many necessary proteins that can be deleted, generation of single-cycle infectious influenza A viruses (sciIAV) can be achieved using a variety of approaches. Here, we review the recent burst in sciIAV generation and summarize the applications and findings on this important human pathogen using biocontained viral mimics.
Collapse
Affiliation(s)
- Aitor Nogales
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Steven F Baker
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - William Domm
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States
| | - Luis Martínez-Sobrido
- Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY, United States.
| |
Collapse
|
12
|
Harder TC, Buda S, Hengel H, Beer M, Mettenleiter TC. Poultry food products--a source of avian influenza virus transmission to humans? Clin Microbiol Infect 2015; 22:141-146. [PMID: 26686812 DOI: 10.1016/j.cmi.2015.11.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 11/29/2015] [Accepted: 11/29/2015] [Indexed: 11/19/2022]
Abstract
Global human mobility and intercontinental connectivity, expansion of livestock production and encroachment of wildlife habitats by invasive agricultural land use contribute to shape the complexity of influenza epidemiology. The OneHealth approach integrates these and further elements into considerations to improve disease control and prevention. Food of animal origin for human consumption is another integral aspect; if produced from infected livestock such items may act as vehicles of spread of animal pathogens, and, in case of zoonotic agents, as a potential human health hazard. Notifiable zoonotic avian influenza viruses (AIV) have become entrenched in poultry populations in several Asian and northern African countries since 2003. Highly pathogenic (HP) AIV (e.g. H5N1) cause extensive poultry mortality and severe economic losses. HPAIV and low pathogenic AIV (e.g. H7N9) with zoonotic propensities pose risks for human health. More than 1500 human cases of AIV infection have been reported, mainly from regions with endemically infected poultry. Intense human exposure to AIV-infected poultry, e.g. during rearing, slaughtering or processing of poultry, is a major risk factor for acquiring AIV infection. In contrast, human infections through consumption of AIV-contaminated food have not been substantiated. Heating poultry products according to kitchen standards (core temperatures ≥70°C, ≥10 s) rapidly inactivates AIV infectivity and renders fully cooked products safe. Nevertheless, concerted efforts must ensure that poultry products potentially contaminated with zoonotic AIV do not reach the food chain. Stringent and sustained OneHealth measures are required to better control and eventually eradicate, HPAIV from endemic regions.
Collapse
Affiliation(s)
- T C Harder
- The Federal Research Institute for Animal Health, Friedrich-Loeffler-Institut, Greifswald Insel-Riems, Germany.
| | - S Buda
- Robert-Koch-Institut, Berlin, Germany
| | - H Hengel
- Institute of Virology, Department of Medical Microbiology and Hygiene, University Medical Centre, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - M Beer
- The Federal Research Institute for Animal Health, Friedrich-Loeffler-Institut, Greifswald Insel-Riems, Germany
| | - T C Mettenleiter
- The Federal Research Institute for Animal Health, Friedrich-Loeffler-Institut, Greifswald Insel-Riems, Germany
| |
Collapse
|
13
|
Thor SW, Nguyen H, Balish A, Hoang AN, Gustin KM, Nhung PT, Jones J, Thu NN, Davis W, Ngoc TNT, Jang Y, Sleeman K, Villanueva J, Kile J, Gubareva LV, Lindstrom S, Tumpey TM, Davis CT, Long NT. Detection and Characterization of Clade 1 Reassortant H5N1 Viruses Isolated from Human Cases in Vietnam during 2013. PLoS One 2015; 10:e0133867. [PMID: 26244768 PMCID: PMC4526568 DOI: 10.1371/journal.pone.0133867] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 07/03/2015] [Indexed: 02/03/2023] Open
Abstract
Highly pathogenic avian influenza (HPAI) H5N1 is endemic in Vietnamese poultry and has caused sporadic human infection in Vietnam since 2003. Human infections with HPAI H5N1 are of concern due to a high mortality rate and the potential for the emergence of pandemic viruses with sustained human-to-human transmission. Viruses isolated from humans in southern Vietnam have been classified as clade 1 with a single genome constellation (VN3) since their earliest detection in 2003. This is consistent with detection of this clade/genotype in poultry viruses endemic to the Mekong River Delta and surrounding regions. Comparison of H5N1 viruses detected in humans from southern Vietnamese provinces during 2012 and 2013 revealed the emergence of a 2013 reassortant virus with clade 1.1.2 hemagglutinin (HA) and neuraminidase (NA) surface protein genes but internal genes derived from clade 2.3.2.1a viruses (A/Hubei/1/2010-like; VN12). Closer analysis revealed mutations in multiple genes of this novel genotype (referred to as VN49) previously associated with increased virulence in animal models and other markers of adaptation to mammalian hosts. Despite the changes identified between the 2012 and 2013 genotypes analyzed, their virulence in a ferret model was similar. Antigenically, the 2013 viruses were less cross-reactive with ferret antiserum produced to the clade 1 progenitor virus, A/Vietnam/1203/2004, but reacted with antiserum produced against a new clade 1.1.2 WHO candidate vaccine virus (A/Cambodia/W0526301/2012) with comparable hemagglutination inhibition titers as the homologous antigen. Together, these results indicate changes to both surface and internal protein genes of H5N1 viruses circulating in southern Vietnam compared to 2012 and earlier viruses.
Collapse
Affiliation(s)
- Sharmi W. Thor
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Hieu Nguyen
- Institute Pasteur-Ho Chi Minh City, National Influenza Center-2, Ho Chi Minh City, Vietnam
| | - Amanda Balish
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Anh Nguyen Hoang
- Institute Pasteur-Ho Chi Minh City, National Influenza Center-2, Ho Chi Minh City, Vietnam
| | - Kortney M. Gustin
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Pham Thi Nhung
- Institute Pasteur-Ho Chi Minh City, National Influenza Center-2, Ho Chi Minh City, Vietnam
| | - Joyce Jones
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Ngoc Nguyen Thu
- Institute Pasteur-Ho Chi Minh City, National Influenza Center-2, Ho Chi Minh City, Vietnam
| | - William Davis
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Thao Nguyen Thi Ngoc
- Institute Pasteur-Ho Chi Minh City, National Influenza Center-2, Ho Chi Minh City, Vietnam
| | - Yunho Jang
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Katrina Sleeman
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Julie Villanueva
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - James Kile
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- Influenza Program, Centers for Disease Control and Prevention- Vietnam, Hanoi, Vietnam
| | - Larisa V. Gubareva
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Stephen Lindstrom
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Terrence M. Tumpey
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - C. Todd Davis
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- * E-mail: (NTL); (CTD)
| | - Nguyen Thanh Long
- Institute Pasteur-Ho Chi Minh City, National Influenza Center-2, Ho Chi Minh City, Vietnam
- * E-mail: (NTL); (CTD)
| |
Collapse
|
14
|
Emerging and Reemerging Infectious Disease Threats. MANDELL, DOUGLAS, AND BENNETT'S PRINCIPLES AND PRACTICE OF INFECTIOUS DISEASES 2015. [PMCID: PMC7151803 DOI: 10.1016/b978-1-4557-4801-3.00014-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
15
|
Hadifar F, Ignjatovic J, Tarigan S, Indriani R, Ebrahimie E, Hasan NH, McWhorter A, Putland S, Ownagh A, Hemmatzadeh F. Multimeric recombinant M2e protein-based ELISA: a significant improvement in differentiating avian influenza infected chickens from vaccinated ones. PLoS One 2014; 9:e108420. [PMID: 25330391 PMCID: PMC4199618 DOI: 10.1371/journal.pone.0108420] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2014] [Accepted: 08/28/2014] [Indexed: 02/07/2023] Open
Abstract
Killed avian influenza virus (AIV) vaccines have been used to control H5N1 infections in countries where the virus is endemic. Distinguishing vaccinated from naturally infected birds (DIVA) in such situations however, has become a major challenge. Recently, we introduced the recombinant ectodomain of the M2 protein (M2e) of H5N1 subtype as a novel tool for an ELISA based DIVA test. Despite being antigenic in natural infection the monomer form of the M2e used in ELISA had limited antigenicity and consequently poor diagnostic capability. To address this shortcoming, we evaluated the use of four tandem copies of M2e (tM2e) for increased efficiency of M2e antibody detection. The tM2e gene of H5N1 strain from Indonesia (A/Indonesia/CDC540/2006) was cloned into a pMAL- p4x expression vector and expressed in E.coli as a recombinant tM2e-MBP or M2e-MBP proteins. Both of these, M2e and tM2e antigens reacted with sera obtained from chickens following live H5N1 infection but not with sera from vaccinated birds. A significantly stronger M2e antibody reaction was observed with the tM2e compared to M2e antigen. Western blotting also supported the superiority of tM2e over M2e in detection of specific M2e antibodies against live H5N1 infection. Results from this study demonstrate that M2e tetramer is a better antigen than single M2e and could be more suitable for an ELISA based DIVA test.
Collapse
Affiliation(s)
- Farshid Hadifar
- School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, Adelaide, Australia
| | - Jagoda Ignjatovic
- School of Veterinary Science, The University of Melbourne, Melbourne, Victoria, Australia
| | - Simson Tarigan
- Indonesian Research Centre for Veterinary Science, Bogor, West Java, Indonesia
| | - Risa Indriani
- Indonesian Research Centre for Veterinary Science, Bogor, West Java, Indonesia
| | - Esmaeil Ebrahimie
- School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, South Australia, Australia
| | - Noor Haliza Hasan
- School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, Adelaide, Australia
| | - Andrea McWhorter
- School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, Adelaide, Australia
| | - Sophie Putland
- School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, Adelaide, Australia
| | | | - Farhid Hemmatzadeh
- School of Animal and Veterinary Sciences, The University of Adelaide, South Australia, Adelaide, Australia
- * E-mail:
| |
Collapse
|
16
|
Kumar V, Chang CK, Tan KP, Jung YS, Chen SH, Cheng YSE, Liang PH. Identification, synthesis, and evaluation of new neuraminidase inhibitors. Org Lett 2014; 16:5060-3. [PMID: 25229881 DOI: 10.1021/ol502410x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
High-throughput screening was performed on ∼6800 compounds to identify KR-72039 as an inhibitor of H1N1 and H5N1 neuraminidases (NAs). Structure-activity relationship studies led to 3e, which inhibited H5N1 NA with an IC50 of 2.8 μM and blocked viral replication. Docking analysis shows that compounds bind to loop-430 around the NA active site. Compound 3l additionally inhibited H7N9 NA, making it a dual inhibitor of N1- and N2-type NAs.
Collapse
Affiliation(s)
- Vathan Kumar
- Taiwan International Graduate Program, Academia Sinica , Taipei 115, Taiwan
| | | | | | | | | | | | | |
Collapse
|
17
|
Abstract
The age distribution of influenza A(H5N1) cases reported during 2006–2013 varied substantially between countries. As well as underlying demographic profiles, it is possible that cross-immunity contributed to the age distribution of reported cases: seasonal influenza A(H1N1) and avian influenza A(H5N1) share the same neuraminidase subtype, N1. Using a mechanistic model, we measured the extent to which population age distribution and heterosubtypic cross-immunity could explain the observed age patterns in Cambodia, China, Egypt, Indonesia and Vietnam. Our results support experimental evidence that prior infection with H1N1 confers partial cross-immunity to H5N1, and suggest that more than 50% of spillover events did not lead to reported cases of infection as a result. We also identified age groups that have additional risk factors for influenza A(H5N1) not captured by demography or infection history.
Collapse
|
18
|
Accuracy of epidemiological inferences based on publicly available information: retrospective comparative analysis of line lists of human cases infected with influenza A(H7N9) in China. BMC Med 2014; 12:88. [PMID: 24885692 PMCID: PMC4066833 DOI: 10.1186/1741-7015-12-88] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2014] [Accepted: 04/10/2014] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Appropriate public health responses to infectious disease threats should be based on best-available evidence, which requires timely reliable data for appropriate analysis. During the early stages of epidemics, analysis of 'line lists' with detailed information on laboratory-confirmed cases can provide important insights into the epidemiology of a specific disease. The objective of the present study was to investigate the extent to which reliable epidemiologic inferences could be made from publicly-available epidemiologic data of human infection with influenza A(H7N9) virus. METHODS We collated and compared six different line lists of laboratory-confirmed human cases of influenza A(H7N9) virus infection in the 2013 outbreak in China, including the official line list constructed by the Chinese Center for Disease Control and Prevention plus five other line lists by HealthMap, Virginia Tech, Bloomberg News, the University of Hong Kong and FluTrackers, based on publicly-available information. We characterized clinical severity and transmissibility of the outbreak, using line lists available at specific dates to estimate epidemiologic parameters, to replicate real-time inferences on the hospitalization fatality risk, and the impact of live poultry market closure. RESULTS Demographic information was mostly complete (less than 10% missing for all variables) in different line lists, but there were more missing data on dates of hospitalization, discharge and health status (more than 10% missing for each variable). The estimated onset to hospitalization distributions were similar (median ranged from 4.6 to 5.6 days) for all line lists. Hospital fatality risk was consistently around 20% in the early phase of the epidemic for all line lists and approached the final estimate of 35% afterwards for the official line list only. Most of the line lists estimated >90% reduction in incidence rates after live poultry market closures in Shanghai, Nanjing and Hangzhou. CONCLUSIONS We demonstrated that analysis of publicly-available data on H7N9 permitted reliable assessment of transmissibility and geographical dispersion, while assessment of clinical severity was less straightforward. Our results highlight the potential value in constructing a minimum dataset with standardized format and definition, and regular updates of patient status. Such an approach could be particularly useful for diseases that spread across multiple countries.
Collapse
|
19
|
Mertz D, Kim TH, Johnstone J, Lam PP, Science M, Kuster SP, Fadel SA, Tran D, Fernandez E, Bhatnagar N, Loeb M. Populations at risk for severe or complicated Avian Influenza H5N1: a systematic review and meta-analysis. PLoS One 2014; 9:e89697. [PMID: 24603885 PMCID: PMC3948335 DOI: 10.1371/journal.pone.0089697] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2013] [Accepted: 01/21/2014] [Indexed: 11/24/2022] Open
Abstract
Background Little is known about risk factors for severe outcomes in patients infected with H5N1 and no systematic review has been conducted. Understanding risk factors is an important step for prioritizing prophylaxis or treatment in the event of a pandemic. Objectives To systematically evaluate risk factors for severe outcomes in patients with avian influenza H5N1 infection. Data sources MEDLINE, EMBASE, CINAHL, GlobalHealth, and CENTRAL through March 2011 Eligibility criteria for selecting studies Observational studies of any design published in English, French, Spanish, German or Korean that reported on risk factor-outcome combinations of interest in participants with confirmed H5N1 infections. Outcomes considered included death, ventilator support, hospital and ICU admission, pneumonia, and composite outcomes. Study appraisal Risk of bias was assessed using the Newcastle-Ottawa scale (NOS). Results We identified 20 studies reporting on 999 patients infected with H5N1. The majority of studies (n = 14, 70%) were at intermediate risk of bias, i.e. 4–6 points on the NOS. Females were at increased risk of death (OR 1.75, 95% CI 1.27–2.44), while young age, in particular <5 years of age (OR 0.44, 95% CI 0.25–0.79 for death), was protective. Data on traditional risk factors was scarce and requires further studies. Another major limitation in the published literature was lack of adjustment for confounders. Interpretation Females were at increased risk for complications following H5N1 infection while young age protected against severe outcomes. Research on traditional risk factors was limited and is required.
Collapse
Affiliation(s)
- Dominik Mertz
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Michael G. DeGroote Institute for Infectious Diseases Research, McMaster University, Hamilton, Ontario, Canada
| | - Tae Hyong Kim
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Division of Infectious Diseases, Departments of Internal Medicine, Soon Chun Hyang University Seoul Hospital, Seoul, Republic of Korea
| | - Jennie Johnstone
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
| | - Po-Po Lam
- Department of Microbiology, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Michelle Science
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Division of Infectious Diseases, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Ontario, Canada
| | - Stefan P. Kuster
- Department of Microbiology, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Shaza A. Fadel
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Dat Tran
- Division of Infectious Diseases, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, Ontario, Canada
| | - Eduardo Fernandez
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
| | - Neera Bhatnagar
- Health Sciences Library, McMaster University, Hamilton, Ontario, Canada
| | - Mark Loeb
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
- Michael G. DeGroote Institute for Infectious Diseases Research, McMaster University, Hamilton, Ontario, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- * E-mail:
| |
Collapse
|
20
|
Pasternak J. Experimental adaptation of an influenza H5HA strain confers respiratory droplet transmission to reassortant H5H/H1N1 virus strain in ferrets. EINSTEIN-SAO PAULO 2013; 10:391-3. [PMID: 23386026 DOI: 10.1590/s1679-45082012000300026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2012] [Accepted: 05/09/2012] [Indexed: 11/22/2022] Open
Abstract
An evaluation of the role - if any - of censorship in scientific papers, based on the publishing of the article that shows it is possible to modify the genetics of the H5N1 aviary influenza virus, enhancing its transmission among mammals, which was followed by much ado and ethical discussion.
Collapse
|
21
|
Schweiger B, Buda S. [Detection of local influenza outbreaks and role of virological diagnostics]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2013; 56:28-37. [PMID: 23275953 DOI: 10.1007/s00103-012-1580-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
For many years, the Working Group on Influenza (AGI) has been the most important influenza surveillance system in Germany. An average sample of the population is covered by both syndromic and virological surveillance, which provides timely data regarding the onset and course of the influenza wave as well as its burden of disease. However, smaller influenza outbreaks cannot be detected by the AGI sentinel system. This is achieved by the information reported by the mandatory notification system (Protection Against Infection Act, IfSG), which serves as the second pillar of the national influenza surveillance. Approaches to recognize such outbreaks are based either on reported influenza virus detection and subsequent investigations by local health authorities or by notification of an accumulation of respiratory diseases or nosocomial infections and subsequent laboratory investigations. In this context, virological diagnostics plays an essential role. This has been true particularly for the early phase of the 2009 pandemic, but generally timely diagnostics is essential for the identification of outbreaks. Regarding potential future outbreaks, it is also important to keep an eye on animal influenza viruses that have repeatedly infected humans. This mainly concerns avian influenza viruses of the subtypes H5, H7, and H9 as well as porcine influenza viruses for which a specific PCR has been established at the National Influenza Reference Centre. An increased incidence of respiratory infections, both during and outside the season, should always encourage virological laboratory diagnostics to be performed as a prerequisite of further extensive investigations and an optimal outbreak management.
Collapse
Affiliation(s)
- B Schweiger
- Fachgebiet Influenza und respiratorische Infektionen, Robert Koch-Institut, Nordufer 20, 13353, Berlin, Deutschland.
| | | |
Collapse
|
22
|
Liu W, Yang K, Qi X, Xu K, Ji H, Ai J, Ge A, Wu Y, Li Y, Dai Q, Liang Q, Bao C, Bergquist R, Tang F, Zhu Y. Spatial and temporal analysis of human infection with avian influenza A(H7N9) virus in China, 2013. Euro Surveill 2013; 18. [DOI: 10.2807/1560-7917.es2013.18.47.20640] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Binary file ES_Abstracts_Final_ECDC.txt matches
Collapse
Affiliation(s)
- W Liu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - K Yang
- Department of Schistosomiasis Control, Jiangsu Institute of Parasitic Diseases, Wuxi, China
| | - X Qi
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - K Xu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - H Ji
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - J Ai
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - A Ge
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Y Wu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Y Li
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Q Dai
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Q Liang
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - C Bao
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | | | - F Tang
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Y Zhu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| |
Collapse
|
23
|
Kaplan BS, Webby RJ. The avian and mammalian host range of highly pathogenic avian H5N1 influenza. Virus Res 2013; 178:3-11. [PMID: 24025480 DOI: 10.1016/j.virusres.2013.09.004] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2013] [Accepted: 09/02/2013] [Indexed: 12/19/2022]
Abstract
Highly pathogenic H5N1 influenza viruses have been isolated from a number of avian and mammalian species. Despite intensive control measures the number of human and animal cases continues to increase. A more complete understanding of susceptible species and of contributing environmental and molecular factors is crucial if we are to slow the rate of new cases. H5N1 is currently endemic in domestic poultry in only a handful of countries with sporadic and unpredictable spread to other countries. Close contact of terrestrial bird or mammalian species with infected poultry/waterfowl or their biological products is the major route for interspecies transmission. Intra-species transmission of H5N1 in mammals, including humans, has taken place on a limited scale though it remains to be seen if this will change; recent laboratory studies suggest that it is indeed possible. Here we review the avian and mammalian species that are naturally susceptible to H5N1 infection and the molecular factors associated with its expanded host range.
Collapse
Affiliation(s)
- Bryan S Kaplan
- Division of Virology, Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | | |
Collapse
|
24
|
Affiliation(s)
- Cécile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA.
| | | |
Collapse
|
25
|
Cowling BJ, Jin L, Lau EHY, Liao Q, Wu P, Jiang H, Tsang TK, Zheng J, Fang VJ, Chang Z, Ni MY, Zhang Q, Ip DKM, Yu J, Li Y, Wang L, Tu W, Meng L, Wu JT, Luo H, Li Q, Shu Y, Li Z, Feng Z, Yang W, Wang Y, Leung GM, Yu H. Comparative epidemiology of human infections with avian influenza A H7N9 and H5N1 viruses in China: a population-based study of laboratory-confirmed cases. Lancet 2013; 382:129-37. [PMID: 23803488 PMCID: PMC3777567 DOI: 10.1016/s0140-6736(13)61171-x] [Citation(s) in RCA: 251] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The novel influenza A H7N9 virus emerged recently in mainland China, whereas the influenza A H5N1 virus has infected people in China since 2003. Both infections are thought to be mainly zoonotic. We aimed to compare the epidemiological characteristics of the complete series of laboratory-confirmed cases of both viruses in mainland China so far. METHODS An integrated database was constructed with information about demographic, epidemiological, and clinical variables of laboratory-confirmed cases of H7N9 (130 patients) and H5N1 (43 patients) that were reported to the Chinese Centre for Disease Control and Prevention until May 24, 2013. We described disease occurrence by age, sex, and geography, and estimated key epidemiological variables. We used survival analysis techniques to estimate the following distributions: infection to onset, onset to admission, onset to laboratory confirmation, admission to death, and admission to discharge. FINDINGS The median age of the 130 individuals with confirmed infection with H7N9 was 62 years and of the 43 with H5N1 was 26 years. In urban areas, 74% of cases of both viruses were in men, whereas in rural areas the proportions of the viruses in men were 62% for H7N9 and 33% for H5N1. 75% of patients infected with H7N9 and 71% of those with H5N1 reported recent exposure to poultry. The mean incubation period of H7N9 was 3·1 days and of H5N1 was 3·3 days. On average, 21 contacts were traced for each case of H7N9 in urban areas and 18 in rural areas, compared with 90 and 63 for H5N1. The fatality risk on admission to hospital was 36% (95% CI 26-45) for H7N9 and 70% (56-83%) for H5N1. INTERPRETATION The sex ratios in urban compared with rural cases are consistent with exposure to poultry driving the risk of infection--a higher risk in men was only recorded in urban areas but not in rural areas, and the increased risk for men was of a similar magnitude for H7N9 and H5N1. However, the difference in susceptibility to serious illness with the two different viruses remains unexplained, since most cases of H7N9 were in older adults whereas most cases of H5N1 were in younger people. A limitation of our study is that we compared laboratory-confirmed cases of H7N9 and H5N1 infection, and some infections might not have been ascertained. FUNDING Ministry of Science and Technology, China; Research Fund for the Control of Infectious Disease and University Grants Committee, Hong Kong Special Administrative Region, China; and the US National Institutes of Health.
Collapse
Affiliation(s)
- Benjamin J. Cowling
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Lianmei Jin
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Eric H. Y. Lau
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Qiaohong Liao
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Wu
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hui Jiang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tim K. Tsang
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jiandong Zheng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Vicky J. Fang
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Zhaorui Chang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Michael Y. Ni
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Qian Zhang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dennis K. M. Ip
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jianxing Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yu Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liping Wang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenxiao Tu
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ling Meng
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Joseph T. Wu
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Huiming Luo
- National Immunization Program, Chinese Center for Disease Control and Prevention Beijing, China
| | - Qun Li
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuelong Shu
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission
| | - Zhongjie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zijian Feng
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Weizhong Yang
- Office of the Director, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yu Wang
- Office of the Director, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Gabriel M. Leung
- Infectious Disease Epidemiology Group, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
26
|
To KK, Ng KH, Que TL, Chan JM, Tsang KY, Tsang AK, Chen H, Yuen KY. Avian influenza A H5N1 virus: a continuous threat to humans. Emerg Microbes Infect 2012; 1:e25. [PMID: 26038430 PMCID: PMC3636560 DOI: 10.1038/emi.2012.24] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2012] [Revised: 06/11/2012] [Accepted: 07/16/2012] [Indexed: 01/11/2023]
Abstract
We report the first case of severe pneumonia due to co-infection with the emerging avian influenza A (H5N1) virus subclade 2.3.2.1 and Mycoplasma pneumoniae. The patient was a returning traveller who had visited a poultry market in South China. We then review the epidemiology, virology, interspecies barrier limiting poultry-to-human transmission, clinical manifestation, laboratory diagnosis, treatment and control measures of H5N1 clades that can be transmitted to humans. The recent controversy regarding the experiments involving aerosol transmission of recombinant H5N1 virus between ferrets is discussed. We also review the relative contribution of the poor response to antiviral treatment and the virus-induced hyperinflammatory damage to the pathogenesis and the high mortality of this infection. The factors related to the host, virus or medical intervention leading to the difference in disease mortality of different countries remain unknown. Because most developing countries have difficulty in instituting effective biosecurity measures, poultry vaccination becomes an important control measure. The rapid evolution of the virus would adversely affect the efficacy of poultry vaccination unless a correctly matched vaccine was chosen, manufactured and administered in a timely manner. Vigilant surveillance must continue to allow better preparedness for another poultry or human pandemic due to new viral mutants.
Collapse
Affiliation(s)
- Kelvin Kw To
- State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong , Hong Kong Special Administrative Region, China ; Research Centre of Infection and Immunology, The University of Hong Kong , Hong Kong Special Administrative Region, China ; Department of Microbiology, The University of Hong Kong , Hong Kong Special Administrative Region, China
| | - Kenneth Hl Ng
- Department of Pathology, Tuen Mun Hospital , Hong Kong Special Administrative Region, China
| | - Tak-Lun Que
- Department of Pathology, Tuen Mun Hospital , Hong Kong Special Administrative Region, China
| | - Jacky Mc Chan
- Department of Medicine and Geriatrics, Princess Margaret Hospital , Hong Kong Special Administrative Region, China
| | - Kay-Yan Tsang
- Department of Medicine and Geriatrics, Princess Margaret Hospital , Hong Kong Special Administrative Region, China
| | - Alan Kl Tsang
- Research Centre of Infection and Immunology, The University of Hong Kong , Hong Kong Special Administrative Region, China ; Department of Microbiology, The University of Hong Kong , Hong Kong Special Administrative Region, China
| | - Honglin Chen
- State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong , Hong Kong Special Administrative Region, China ; Research Centre of Infection and Immunology, The University of Hong Kong , Hong Kong Special Administrative Region, China ; Department of Microbiology, The University of Hong Kong , Hong Kong Special Administrative Region, China
| | - Kwok-Yung Yuen
- State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong , Hong Kong Special Administrative Region, China ; Research Centre of Infection and Immunology, The University of Hong Kong , Hong Kong Special Administrative Region, China ; Department of Microbiology, The University of Hong Kong , Hong Kong Special Administrative Region, China
| |
Collapse
|
27
|
Andrychowski J, Jasielski P, Netczuk T, Czernicki Z. Empyema in spinal canal in thoracic region, abscesses in paravertebral space, spondylitis: in clinical course of zoonosis Erysipelothrix rhusiopathiae. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2012; 21 Suppl 4:S557-63. [PMID: 22526696 PMCID: PMC3369048 DOI: 10.1007/s00586-012-2289-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2009] [Revised: 10/30/2011] [Accepted: 03/18/2012] [Indexed: 02/01/2023]
Abstract
OBJECTIVES Erysipelas is an animal disease caused by Gram-positive bacteria Erysipelothrix rhusiopathiae. Among the domestic animals, domestic pig (Sus scrofa f. domestica) suffers most frequently from the disease in human environment. This is a typical animal-borne disease observed mainly in occupational groups employed in agriculture, farming (of animals and birds), fishing and manufacturing industry. METHODS We are presenting the clinical course of infection (E. rhusiopathiae) and discuss clinical forms. E. rhusiopathiae in humans may have the following clinical course: mild form of skin infection diagnosed as local erythema (erysipeloid), disseminated form of skin infection and the most serious form of infection of systemic course (endocarditis and sepsis). Mild skin infection and local erythema are the most common forms. Very rare case of animal-borne infection course has been presented in which after initial phase the disease was generalised to the abscesses formation in paravertebral space, spondylitis and empyema formation in spinal canal. In the presented clinical case, the patient was suffering from diabetes. It was probably an additional risk factor of the disease generalisation. Patient underwent drainage of empyema in spinal canal, after which his neurological status gradually improved. Antibiotic therapy was implemented and continued for 8 weeks. Such course of erysipelas was not previously described in the literature. RESULTS After therapy neurological status was improved. In follow MRI control exam empyema and spondylitis was successfully eliminated. CONCLUSIONS Various complications of the disease, such as endocarditis and heart valves disturbances, are well known and are the most severe complications of the generalised infection. Proper targeted and long-term antibiotic therapy is crucial.
Collapse
Affiliation(s)
- Jarosław Andrychowski
- Department of Neurosurgery, Mossakowski Medical Research Centre, Polish Academy of Sciences, Bielanski Hospital, Ceglowska Str 80, 01-809, Warsaw, Poland.
| | | | | | | |
Collapse
|
28
|
|
29
|
Wang BX, Fish EN. The yin and yang of viruses and interferons. Trends Immunol 2012; 33:190-7. [PMID: 22321608 PMCID: PMC7106503 DOI: 10.1016/j.it.2012.01.004] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2011] [Revised: 12/21/2011] [Accepted: 01/04/2012] [Indexed: 12/15/2022]
Abstract
Interferons (IFNs)-α/β are critical effectors of the innate immune response to virus infections. Through activation of the IFN-α/β receptor (IFNAR), they induce expression of IFN-stimulated genes (ISGs) that encode antiviral proteins capable of suppressing viral replication and promoting viral clearance. Many highly pathogenic viruses have evolved mechanisms to evade an IFN response and the balance between the robustness of the host immune response and viral antagonistic mechanisms determines whether or not the virus is cleared. Here, we discuss IFNs as broad-spectrum antivirals for treatment of acute virus infections. In particular, they are useful for treatment of re-emerging virus infections, where direct-acting antivirals (DAAs) have limited utility due to DAA-resistant mutations, and for newly emerging virus strains in which the time to vaccine availability precludes vaccination at the onset of an outbreak.
Collapse
Affiliation(s)
- Ben X Wang
- University Health Network, Toronto, Ontario, Canada
| | | |
Collapse
|
30
|
Detection of highly pathogenic influenza and pandemic influenza virus in formalin fixed tissues by immunohistochemical methods. J Virol Methods 2012; 179:409-13. [DOI: 10.1016/j.jviromet.2011.11.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2011] [Revised: 10/29/2011] [Accepted: 11/09/2011] [Indexed: 11/23/2022]
|
31
|
Ma J, Sun Q, Mi R, Zhang H. Avian influenza A virus H5N1 causes autophagy-mediated cell death through suppression of mTOR signaling. J Genet Genomics 2011; 38:533-7. [PMID: 22133684 DOI: 10.1016/j.jgg.2011.10.002] [Citation(s) in RCA: 80] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2011] [Revised: 10/12/2011] [Accepted: 10/13/2011] [Indexed: 12/13/2022]
Abstract
Of the few avian influenza viruses that have crossed the species barrier to infect humans, the highly pathogenic influenza A (H5N1) strain has claimed the lives of more than half of the infected patients. With largely unknown mechanism of lung injury by H5N1 infection, acute respiratory distress syndrome (ARDS) is the major cause of death among the victims. Here we present the fact that H5N1 caused autophagic cell death through suppression of mTOR signaling. Inhibition of autophagy, either by depletion of autophagy gene Beclin1 or by autophagy inhibitor 3-methyladenine (3-MA), significantly reduced H5N1 mediated cell death. We suggest that autophagic cell death may contribute to the development of ARDS in H5N1 influenza patients and inhibition of autophagy could therefore become a novel strategy for the treatment of H5N1 infection.
Collapse
Affiliation(s)
- Jianhui Ma
- Department of Physiology and Pathophysiology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences and School of Basic Medicine, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing
| | | | | | | |
Collapse
|