Literature DB >> 18201322

Avian influenza - diagnosis.

D J Alexander1.   

Abstract

The diagnosis of avian influenza (AI) virus infections, even highly pathogenic AI (HPAI), represents a considerable challenge due to the lack of pathognomonic or specific clinical signs and their variation in different avian hosts plus the marked antigenic variation amongst influenza A viruses. Conventional laboratory techniques involve the isolation, identification and characterization (including virulence estimates) of the virus. While this has proven successful in the past and remains the method of choice, for at least the initial outbreak, the delays associated with conventional diagnosis are often considered unacceptable for the application of control measures, especially stamping out policies, and there is an overwhelming demand for rapid results. More and more, molecular biological techniques are being used and in particular reverse transcriptase-polymerase chain reaction (RT-PCR) and real-time RT-PCR technologies are being employed for rapid diagnosis. In this paper, clinical signs, the molecular basis for virulence of AI viruses, international definitions, conventional diagnosis and the use of molecular techniques are reviewed and discussed.

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Year:  2008        PMID: 18201322     DOI: 10.1111/j.1863-2378.2007.01082.x

Source DB:  PubMed          Journal:  Zoonoses Public Health        ISSN: 1863-1959            Impact factor:   2.702


  10 in total

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Journal:  Expert Rev Anti Infect Ther       Date:  2010-05       Impact factor: 5.091

2.  design of multiplexed detection assays for identification of avian influenza a virus subtypes pathogenic to humans by SmartCycler real-time reverse transcription-PCR.

Authors:  Wei Wang; Peijun Ren; Sek Mardi; Lili Hou; Cheguo Tsai; Kwok Hung Chan; Peter Cheng; Jun Sheng; Philippe Buchy; Bing Sun; Tetsuya Toyoda; Wilina Lim; J S Malik Peiris; Paul Zhou; Vincent Deubel
Journal:  J Clin Microbiol       Date:  2008-10-29       Impact factor: 5.948

3.  A thermally baffled device for highly stabilized convective PCR.

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Review 4.  Updated values for molecular diagnosis for highly pathogenic avian influenza virus.

Authors:  Akira Sakurai; Futoshi Shibasaki
Journal:  Viruses       Date:  2012-08-07       Impact factor: 5.048

5.  Improved hatchability and efficient protection after in ovo vaccination with live-attenuated H7N2 and H9N2 avian influenza viruses.

Authors:  Yibin Cai; Haichen Song; Jianqiang Ye; Hongxia Shao; Rangarajan Padmanabhan; Troy C Sutton; Daniel R Perez
Journal:  Virol J       Date:  2011-01-21       Impact factor: 4.099

6.  Virus pathotype and deep sequencing of the HA gene of a low pathogenicity H7N1 avian influenza virus causing mortality in Turkeys.

Authors:  Munir Iqbal; Kolli B Reddy; Sharon M Brookes; Steve C Essen; Ian H Brown; John W McCauley
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

7.  Multiplex Reverse-Transcription Loop-Mediated Isothermal Amplification Coupled with Cascade Invasive Reaction and Nanoparticle Hybridization for Subtyping of Influenza A Virus.

Authors:  Ying Chi; Yiyue Ge; Kangchen Zhao; Bingjie Zou; Bin Liu; Xian Qi; Qian Bian; Zhiyang Shi; Fengcai Zhu; Minghao Zhou; Lunbiao Cui; Chuan Su
Journal:  Sci Rep       Date:  2017-03-21       Impact factor: 4.379

8.  Quantifying the effect of swab pool size on the detection of influenza A viruses in broiler chickens and its implications for surveillance.

Authors:  Amos Ssematimba; Sasidhar Malladi; Peter J Bonney; Cristian Flores-Figueroa; Jeannette Muñoz-Aguayo; David A Halvorson; Carol J Cardona
Journal:  BMC Vet Res       Date:  2018-09-03       Impact factor: 2.741

9.  Immunopathological immunohistochemical study of low pathogenic avian influenza virus H5N1 infection in lovebirds (Agapornis spp.) in Indonesia.

Authors:  Zulfikhar Zulfikhar; Raden Wasito; Hastari Wuryastuti
Journal:  Vet World       Date:  2019-09

10.  Interaction between avian influenza subtype H9N2 and Newcastle disease virus vaccine strain (LaSota) in chickens.

Authors:  Hany F Ellakany; Ahmed R Gado; Ahmed R Elbestawy; Hatem S Abd El-Hamid; Hafez M Hafez; Mohamed E Abd El-Hack; Ayman A Swelum; Abdullah Al-Owaimer; Islam M Saadeldin
Journal:  BMC Vet Res       Date:  2018-11-20       Impact factor: 2.741

  10 in total

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