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首页> 外文期刊>Journal of Clinical Microbiology >International Collaborative Study To Compare Reverse Transcriptase PCR Assays for Detection and Genotyping of Noroviruses
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International Collaborative Study To Compare Reverse Transcriptase PCR Assays for Detection and Genotyping of Noroviruses

机译:国际合作研究,以比较逆转录酶PCR检测法检测诺如病毒和进行基因分型

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摘要

To allow more rapid and internationally standardized assessment of the spread of noroviruses (previously called Norwalk-like viruses [NLVs]) as important food-borne pathogens, harmonization of methods for their detection is needed. Diagnosis of NLVs in clinical diagnostic laboratories is usually performed by reverse transciptase PCR (RT-PCR) assays. In the present study, the performance of five different RT-PCR assays for the detection of NLVs was evaluated in an international collaborative study by five laboratories in five countries with a coded panel of 91 fecal specimens. The assays were tested for their sensitivity, detection limit, and ease of standardization. In total, NLVs could be detected by at least one RT-PCR assay in 69 (84%) of the samples that originally tested positive. Sensitivity ranged from 52 to 73% overall and from 54 to 100% and 58 to 85% for genogroup I and II viruses, respectively. In all, 64% of the false-negative results were obtained with a set of diluted stools (n = 20) that may have lost quality upon storage. Sensitivity was improved when these samples were excluded from analysis. No one single assay stood out as the best, although the p1 assay demonstrated the most satisfactory overall performance. To promote comparability of data, this assay will be recommended for newly starting groups in future collaborative studies.
机译:为了对作为重要食源性病原体的诺如病毒(以前称为Norwalk样病毒[NLV])的传播进行更快速和国际标准化的评估,需要统一检测方法。在临床诊断实验室中,NLV的诊断通常通过逆转录酶PCR(RT-PCR)分析进行。在本研究中,由五个国家的五个实验室在91个粪便样本编码面板的国际合作研究中评估了五种不同的RT-PCR分析检测NLV的性能。测试了这些测定的灵敏度,检测限和标准化的简便性。总体而言,可以通过至少一种RT-PCR测定法在69份最初检测为阳性的样本中检测到NLV(84%)。对于基因组I和II,总体敏感性分别为52%至73%和54%至100%和58%至85%。总之,使用一组稀释的粪便( n = 20)获得了64%的假阴性结果,这些粪便在储存时可能质量下降。这些样品从分析中排除后,灵敏度得到了提高。尽管p1分析显示出最令人满意的总体性能,但没有任何一种方法能做到最好。为了促进数据的可比性,在未来的合作研究中,建议新手开始使用此测定法。

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