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External Quality Assessment for Avian Influenza A (H7N9) Virus Detection Using Armored RNA
Sun, Yu1; Jia, Tingting1,2; Sun, Yanli1,2; Han, Yanxi1,3; Wang, Lunan1,2; Zhang, Rui1; Zhang, Kuo1; Lin, Guigao1; Xie, Jiehong1; Li, Jinming1,2
刊名JOURNAL OF CLINICAL MICROBIOLOGY
2013-12-01
DOI10.1128/JCM.02018-13
51期:12页:4055-4059
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Microbiology
资助者National High Technology Research and Development Program of China 863 program ; "AIDS and Hepatitis, and Other Major Infectious Disease Control and Prevention" Program of China ; National High Technology Research and Development Program of China 863 program ; "AIDS and Hepatitis, and Other Major Infectious Disease Control and Prevention" Program of China
研究领域[WOS]Microbiology
关键词[WOS]PCR ; SURROGATE ; ASSAY ; PANEL
英文摘要

An external quality assessment (EQA) program for the molecular detection of avian influenza A (H7N9) virus was implemented by the National Center for Clinical Laboratories (NCCL) of China in June 2013. Virus-like particles (VLPs) that contained full-length RNA sequences of the hemagglutinin (HA), neuraminidase (NA), matrix protein (MP), and nucleoprotein (NP) genes from the H7N9 virus (armored RNAs) were constructed. The EQA panel, comprising 6 samples with different concentrations of armored RNAs positive for H7N9 viruses and four H7N9-negative samples (including one sample positive for only the MP gene of the H7N9 virus), was distributed to 79 laboratories in China that carry out the molecular detection of H7N9 viruses. The overall performances of the data sets were classified according to the results for the H7 and N9 genes. Consequently, we received 80 data sets (one participating group provided two sets of results) which were generated using commercial (n = 60) or in-house (n = 17) reverse transcription-quantitative PCR (qRT-PCR) kits and a commercial assay that employed isothermal amplification method (n = 3). The results revealed that the majority (82.5%) of the data sets correctly identified the H7N9 virus, while 17.5% of the data sets needed improvements in their diagnostic capabilities. These "improvable" data sets were derived mostly from false-negative results for the N9 gene at relatively low concentrations. The false-negative rate was 5.6%, and the false-positive rate was 0.6%. In addition, we observed varied diagnostic capabilities between the different commercially available kits and the in-house-developed assays, with the assay manufactured by BioPerfectus Technologies (Jiangsu, China) performing better than the others. Overall, the majority of laboratories have reliable diagnostic capacities for the detection of H7N9 virus.

语种英语
所属项目编号2011AA02A116 ; 2013ZX10004805
资助者National High Technology Research and Development Program of China 863 program ; "AIDS and Hepatitis, and Other Major Infectious Disease Control and Prevention" Program of China ; National High Technology Research and Development Program of China 863 program ; "AIDS and Hepatitis, and Other Major Infectious Disease Control and Prevention" Program of China
WOS记录号WOS:000327147100025
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/124105
Collection北京大学医学部管理机构_研究生院
作者单位1.Natl Hlth & Family Planning Commiss, Beijing Hosp, Natl Ctr Clin Lab, Beijing, Peoples R China
2.Chinese Acad Med Sci, Peking Union Med Coll, Grad Sch, Beijing 100730, Peoples R China
3.Peking Univ, Hlth Sci Ctr, Grad Sch, Beijing 100871, Peoples R China
Recommended Citation
GB/T 7714
Sun, Yu,Jia, Tingting,Sun, Yanli,et al. External Quality Assessment for Avian Influenza A (H7N9) Virus Detection Using Armored RNA[J]. JOURNAL OF CLINICAL MICROBIOLOGY,2013,51(12):4055-4059.
APA Sun, Yu.,Jia, Tingting.,Sun, Yanli.,Han, Yanxi.,Wang, Lunan.,...&Li, Jinming.(2013).External Quality Assessment for Avian Influenza A (H7N9) Virus Detection Using Armored RNA.JOURNAL OF CLINICAL MICROBIOLOGY,51(12),4055-4059.
MLA Sun, Yu,et al."External Quality Assessment for Avian Influenza A (H7N9) Virus Detection Using Armored RNA".JOURNAL OF CLINICAL MICROBIOLOGY 51.12(2013):4055-4059.
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