• Title/Summary/Keyword: High pathogenic avian influenza

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Control and Prevention Strategies of Avian Influenza (조류독감 방제전략)

  • 송창선;권지선;이현정;이중복;박승용;최인수;이윤정;김재홍;모인필
    • Korean Journal of Poultry Science
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    • v.31 no.2
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    • pp.129-136
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    • 2004
  • Avian influenza viruses infect humans, horses, swine, other mammals, and a wide variety of domesticated and wild birds. Modem poultry industries worldwide are at risk of infection with avian influenza. Low pathogenic avian influenza can easily change to highly pathogenic form especially when introduced into areas of high density commercial poultry. Outbreaks of highly pathogenic avian influenza are becoming progressively more expensive to control according to the growth of the poultry industry worldwide. Future strategies for avian influenza control and prevention should involve a combination of early detection and characterization of virus using advanced molecular biologic techniques, quarantine, selective depopulation and vaccination of flocks.

Generating GAN-based Virtual data to Prevent the Spread of Highly Pathogenic Avian Influenza(HPAI) (고위험성 조류인플루엔자(HPAI) 확산 방지를 위한 GAN 기반 가상 데이터 생성)

  • Choi, Dae-Woo;Han, Ye-Ji;Song, Yu-Han;Kang, Tae-Hun;Lee, Won-Been
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.69-76
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    • 2020
  • This study was conducted with the support of the Information and Communication Technology Promotion Center, funded by the government (Ministry of Science and ICT) in 2019. Highly pathogenic avian influenza (HPAI) is an acute infectious disease of birds caused by highly pathogenic avian influenza virus infection, causing serious damage to poultry such as chickens and ducks. High pathogenic avian influenza (HPAI) is caused by focusing on winter rather than year-round, and sometimes does not occur at all during a certain period of time. Due to these characteristics of HPAI, there is a problem that does not accumulate enough actual data. In this paper study, GAN network was utilized to generate actual similar data containing missing values and the process is introduced. The results of this study can be used to measure risk by generating realistic simulation data for certain times when HPAI did not occur.

Occurrence of highly pathogenic avian influenza from domestic ducks in Jeonbuk province (전북지역 육용오리에서 고병원성 조류인플루엔자 발생 증례)

  • Chu, Keum-Suk;Kang, Mi-Seon;Cho, Bum-Jun;Lee, Jeong-Won
    • Korean Journal of Veterinary Service
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    • v.31 no.3
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    • pp.283-290
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    • 2008
  • Highly pathogenic avian influenza(HP AI) is one of the most important zoonoses in the around of world. That occurred in the domestic ducks of 34 olds day in Jeonbuk of Korea on April 2008. All of infected ducks were died. We could found several clinical signs such as facial swelling with cloudy eyes, conjunctivitis, and neurological sign. In the autopsy, moderate congestion in the kidney, multifocal hemorrhagic foci in pancreas, and mild swelling in brain were observed. Gliosis in brain and severe congestion in kidney were also shown in histopathological findings. Specific band for H5 antibody was detected in polymerase chain reaction (PCR).

Current situation and control strategies of H9N2 avian influenza in South Korea

  • Mingeun Sagong;Kwang-Nyeong Lee;Eun-Kyoung Lee;Hyunmi Kang;Young Ki Choi;Youn-Jeong Lee
    • Journal of Veterinary Science
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    • v.24 no.1
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    • pp.5.1-5.16
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    • 2023
  • The H9N2 avian influenza (AI) has become endemic in poultry in many countries since the 1990s, which has caused considerable economic losses in the poultry industry. Considering the long history of the low pathogenicity H9N2 AI in many countries, once H9N2 AI is introduced, it is more difficult to eradicate than high pathogenicity AI. Various preventive measures and strategies, including vaccination and active national surveillance, have been used to control the Y439 lineage of H9N2 AI in South Korea, but it took a long time for the H9N2 virus to disappear from the fields. By contrast, the novel Y280 lineage of H9N2 AI was introduced in June 2020 and has spread nationwide. This study reviews the history, genetic and pathogenic characteristics, and control strategies for Korean H9N2 AI. This review may provide some clues for establishing control strategies for endemic AIV and a newly introduced Y280 lineage of H9N2 AI in South Korea.

The Current Trend of Avian Influenza Viruses in Bioinformatics Research (생명정보학적 관점에서의 조류 인플루엔자 연구동향)

  • Ahn, In-Sung;Son, Hyeon-S.
    • Journal of Preventive Medicine and Public Health
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    • v.40 no.2
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    • pp.185-190
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    • 2007
  • Objectives : Since the first human infection from avian influenza was reported in Hong Kong in 1997, many Asian countries have confirmed outbreaks of highly pathogenic H5N1 avian influenza viruses. In addition to Asian countries, the EU authorities also held an urgent meeting in February 2006 at which it was agreed that Europe could also become the next target for H5N1 avian influenza in the near future. In this paper, we provide the general and applicable information on the avian influenza in the bioinformatics field to assist future studies in preventive medicine. Methods : We introduced some up-to-date analytical tools in bioinformatics research, and discussed the current trends of avian influenza outbreaks. Among the bioinformatics methods, we focused our interests on two topics: pattern analysis using the secondary database of avian influenza, and structural analysis using the molecular dynamics simulations in vaccine design. Results : Use of the public genome databases available in the bioinformatics field enabled intensive analysis of the genetic patterns. Moreover, molecular dynamic simulations have also undergone remarkable development on the basis of the high performance supercomputing infrastructure these days. Conclusions : The bioinformatics techniques we introduced in this study may be useful in preventive medicine, especially in vaccine and drug discovery.

Identification of Differentially Expressed Genes in Ducks in Response to Avian Influenza A Virus Infections

  • Ndimukaga, Marc;Won, Kyunghye;Truong, Anh Duc;Song, Ki-Duk
    • Korean Journal of Poultry Science
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    • v.47 no.1
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    • pp.9-19
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    • 2020
  • Avian influenza (AI) viruses are highly contagious viruses that infect many bird species and are zoonotic. Ducks are resistant to the deadly and highly pathogenic avian influenza virus (HPAIV) and remain asymptomatic to the low pathogenic avian influenza virus (LPAIV). In this study, we identified common differentially expressed genes (DEGs) after a reanalysis of previous transcriptomic data for the HPAIV and LPAIV infected duck lung cells. Microarray datasets from a previous study were reanalyzed to identify common target genes from DEGs and their biological functions. A total of 731 and 439 DEGs were identified in HPAIV- and LPAIV-infected duck lung cells, respectively. Of these, 227 genes were common to cells infected with both viruses, in which 193 genes were upregulated and 34 genes were downregulated. Functional annotation of common DEGs revealed that translation related gene ontology (GO) terms were enriched, including ribosome, protein metabolism, and gene expression. REACTOME analyses also identified pathways for protein and RNA metabolism as well as for tissue repair, including collagen biosynthesis and modification, suggesting that AIVs may evade the host defense system by suppressing host translation machinery or may be suppressed before being exported to the cytosol for translation. AIV infection also increased collagen synthesis, showing that tissue lesions by virus infection may be mediated by this pathway. Further studies should focus on these genes to clarify their roles in AIV pathogenesis and their possible use in AIV therapeutics.

Blocking the Diffusion of Highly Pathogenic Avian Influenza with Analysis of Network Centrality (네트워크 중심성 분석을 통한 고병원성 조류인플루엔자 확산 차단)

  • Lee, Hyung-Jin;Jung, Nam-Su;Moon, Woon-Kyung;Lee, Jeong-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.53 no.1
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    • pp.9-15
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    • 2011
  • Highly pathogenic avian influenza could not be identified visually. It takes time to identify the symptoms by its incubation period. Without taking a quick step, the diffusion area of HPAI has dramatically increased, the extent of damage becomes bigger. In network research, the algorithm of finding the central node on the network applied to various diffusion of epidemic problems, was used in control system of tracing the diffusion path, blocking central nodes. This study tried to make the diffusion of HPAI network model for the crowded farms area, and reduce the diffusion rate to control the high-risk farms.

Aerodynamic Approaches for the Predition of Spread the HPAI (High Pathogenic Avian Influenza) on Aerosol (고병원성 조류인플루엔자 (HPAI)의 에어로졸을 통한 공기 전파 예측을 위한 공기유동학적 확산 모델 연구)

  • Seo, Il-Hwan;Lee, In-Bok;Moon, Oun-Kyung;Hong, Se-Woon;Hwnag, Hyun-Seob;Bitog, J.P.;Kwon, Kyeong-Seok;Kim, Ki-Youn
    • Journal of The Korean Society of Agricultural Engineers
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    • v.53 no.1
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    • pp.29-36
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    • 2011
  • HPAI (High pathogenic avian influenza) which is a disease legally designated as an epidemic generally shows rapid spread of disease resulting in high mortality rate as well as severe economic damages. Because Korea is contiguous with China and southeast Asia where HPAI have occurred frequently, there is a high risk for HPAI outbreak. A prompt treatment against epidemics is most important for prevention of disease spread. The spread of HPAI should be considered by both direct and indirect contact as well as various spread factors including airborne spread. There are high risk of rapid propagation of HPAI flowing through the air because of collective farms mostly in Korea. Field experiments for the mechanism of disease spread have limitations such as unstable weather condition and difficulties in maintaining experimental conditions. In this study, therefore, computational fluid dynamics which has been actively used for mass transfer modeling were adapted. Korea has complex terrains and many livestock farms are located in the mountain regions. GIS numerical map was used to estimate spreads of virus attached aerosol by means of designing three dimensional complicated geometry including farm location, road network, related facilities. This can be used as back data in order to take preventive measures against HPAI occurrence and spread.

MicroRNA expression profiling in the lungs of genetically different Ri chicken lines against the highly pathogenic avian influenza H5N1 virus

  • Sooyeon Lee;Suyeon Kang;Jubi Heo;Yeojin Hong;Thi Hao Vu;Anh Duc Truong;Hyun S Lillehoj;Yeong Ho Hong
    • Journal of Animal Science and Technology
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    • v.65 no.4
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    • pp.838-855
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    • 2023
  • The highly pathogenic avian influenza (HPAI) virus triggers infectious diseases, resulting in pulmonary damage and high mortality in domestic poultry worldwide. This study aimed to analyze miRNA expression profiles after infection with the HPAI H5N1 virus in resistant and susceptible lines of Ri chickens.For this purpose, resistant and susceptible lines of Vietnamese Ri chicken were used based on the A/G allele of Mx and BF2 genes. These genes are responsible for innate antiviral activity and were selected to determine differentially expressed (DE) miRNAs in HPAI-infected chicken lines using small RNA sequencing. A total of 44 miRNAs were DE after 3 days of infection with the H5N1 virus. Computational program analysis indicated the candidate target genes for DE miRNAs to possess significant functions related to cytokines, chemokines, MAPK signaling pathway, ErBb signaling pathway, and Wnt signaling pathway. Several DE miRNA-mRNA matches were suggested to play crucial roles in mediating immune functions against viral evasion. These results revealed the potential regulatory roles of miRNAs in the immune response of the two Ri chicken lines against HPAI H5N1 virus infection in the lungs.

Evaluation on Immunogenicity and Safety of Avian Influenza Isolate(ADL0401) as a Candidate for the Killed Vaccine against tow-Pathogenic Avian Influenza (약병원성 조류인플루엔자 사독백신개발을 위한 후보주(ADL0401)의 면역 원성 및 안전성 평가)

  • Lee J. S.;Ha D. H.;Kim J. E.;Ha B. D.;Mo I. P.
    • Korean Journal of Poultry Science
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    • v.32 no.2
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    • pp.113-123
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    • 2005
  • Avian influenza (AI) virus (AIV) is distributed worldwide and it has been isolated from various species of wild and domestic birds. AI transfers with high speed and shows diverse pathogenicity syndroms. In Korea, several low Pathogenic AIV, H9N2, have been isolated from the commercial farms with severe decrease of egg production and mortality resulted in severe economic loss since 1996. Therefore, it has been requested to develop AI vaccines to prevent clinical signs and economic losses from the field infection of AIV. To develop a killed vaccine that efficiently prevents low pathogenic AIV (H9N2), evaluation on the pathogenicity and selection of an inactivator for H9N2 is taking place and is being tested safety and immunogenicity of vaccine produced. Based on the pathogenicity test and viral reisolation test, the ADL0401 isolate is the characteristic low pathogenic AIVs and has fairly similar biologic functions compared with MS96 which is the official low pathogenic AIV (H9N2) and one of the predominant AIV isolated from poultry farms in Korea. In antigenicity tests, the ADL0401 and MS96 virus have no significant antigenic difference. In inactivation tests, the ADL0401 isolates can be easily inactivated with $0.1\%$ Formalin at $37^{\circ}C$ within 1 hour with a little decrease of HA titer. The vaccine developed in the present report has no harmful effect on bird and forms good immune capability. Therefore, the isolates, ADL0401 can be used for a killed vaccine which can reduce the clinical signs and viral shedding in the birds infected with H9N2 low pathogenic AIVs.