Literature DB >> 24880072

Detection of avian influenza A/H7N9/2013 virus by real-time reverse transcription-polymerase chain reaction.

Xiaoping Kang1, Weili Wu2, Chuntao Zhang3, Licheng Liu4, Huahua Feng5, Lizhi Xu5, Xin Zheng5, Honglei Yang5, Yongqiang Jiang1, Bianli Xu6, Jin Xu7, Yinhui Yang8, Weijun Chen9.   

Abstract

The first case of avian influenza A/H7N9 infection was reported in Shanghai in mid-February, 2013; by May 1, 2013, it had infected 127 people and caused 26 deaths in 10 provinces in China. Therefore, it is important to obtain reliable epidemiological data on the spread of this new infectious agent, a need that may be best met by the development of novel molecular methods. Here, a new method was described for the detection of avian influenza A/H7N9 using real-time reverse transcription-polymerase chain reaction (rRT-PCR). Using serial dilutions of avian influenza A H7N9 cultures, the detection limit of the assay was determined to be approximately 3.2×10(-4) HAUs (hemagglutination units) for the H7 gene and 6.4×10(-4) HAUs for N9 gene. In tests of serial dilutions of in vitro-transcribed avian influenza A H7 and N9 gene RNA, positive results were obtained for target RNA containing at least three copies of the H7 gene and six copies of the N9 gene. Thirteen throat swabs from H7N9 patients were tested; all tested positive in the assay. Specificity was evaluated by testing 18 other subtypes of influenza viruses; all tested negative. A total of 180 throat swabs from patients infected with influenza virus, including 60 from patients infected with seasonal influenza A/H1N1 virus, 60 from patients infected with pandemic influenza A/H1N1/2009 virus, 30 from patients infected with seasonal influenza A/H3N2 virus and 30 from patients infected with influenza B virus, were also tested; all tested negative.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Avian influenza A/H7N9 virus; Real-time reverse transcription polymerase chain reaction (rRT-PCR)

Mesh:

Year:  2014        PMID: 24880072     DOI: 10.1016/j.jviromet.2014.01.026

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  6 in total

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Authors:  Jiaoling Huang; Zhixun Xie; Liji Xie; Zhiqin Xie; Sisi Luo; Xianwen Deng; Li Huang; Tingting Zeng; Yanfang Zhang; Sheng Wang; Minxiu Zhang
Journal:  RSC Adv       Date:  2018-04-16       Impact factor: 4.036

Review 2.  Comparative Study of Molecular Approaches for the Detection of Influenza Virus from Patient Samples Using Real-time PCR: Prospective Disease Burden Study in Kerala (India) from 2010 to 2016.

Authors:  Seetha Dayakar; Heera R Pillai; Vineetha P Thulasi; Devakikutty Jayalekshmi; Radhakrishnan R Nair
Journal:  Curr Infect Dis Rep       Date:  2018-06-07       Impact factor: 3.725

3.  Simultaneous detection of novel H7N9 and other influenza A viruses in poultry by multiplex real-time RT-PCR.

Authors:  Xiaolong Xu; Hongmei Bao; Yong Ma; Jiashan Sun; Yuhui Zhao; Yunhe Wang; Jianzhong Shi; Xianying Zeng; Yanbing Li; Xiurong Wang; Hualan Chen
Journal:  Virol J       Date:  2015-04-30       Impact factor: 4.099

4.  Simultaneous detection of influenza A subtypes of H3N2 virus, pandemic (H1N1) 2009 virus and reassortant avian H7N9 virus in humans by multiplex one-step real-time RT-PCR assay.

Authors:  Dawei Cui; Dejian Zhao; Guoliang Xie; Xianzhi Yang; Zhaoxia Huo; Shufa Zheng; Fei Yu; Yu Chen
Journal:  Springerplus       Date:  2016-12-01

Review 5.  Advanced nanotechnologies in avian influenza: Current status and future trends - A review.

Authors:  Amitava Moulick; Lukas Richtera; Vedran Milosavljevic; Natalia Cernei; Yazan Haddad; Ondrej Zitka; Pavel Kopel; Zbynek Heger; Vojtech Adam
Journal:  Anal Chim Acta       Date:  2017-07-07       Impact factor: 6.558

6.  Evaluation of Commercial Diagnostic Assays for the Specific Detection of Avian Influenza A (H7N9) Virus RNA Using a Quality-Control Panel and Clinical Specimens in China.

Authors:  Dawei Shi; Shu Shen; Xingliang Fan; Suhong Chen; Dayan Wang; Changgui Li; Xing Wu; Lili Li; Dongting Bai; Chuntao Zhang; Junzhi Wang
Journal:  PLoS One       Date:  2015-09-11       Impact factor: 3.240

  6 in total

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