Hellberg Rosalee S, Li Feng, Sampath Rangarajan, Yasuda Irene J, Carolan Heather E, Wolfe Julia M, Brown Michael K, Alexander Richard C, Williams-Hill Donna M, Martin William B
Chapman University, Schmid College of Science and Technology, Food Science and Nutrition, One University Drive, Orange, CA 92866, USA.
Ibis Biosciences, Abbott, 2251 Faraday Ave., Suite 150, Carlsbad, CA 92008, USA.
Food Microbiol. 2014 Dec;44:71-80. doi: 10.1016/j.fm.2014.05.017. Epub 2014 Jun 3.
The goal of this study was to develop an assay for the detection and differentiation of noroviruses using RT-PCR followed by electrospray ionization mass spectrometry (ESI-MS). Detection of hepatitis A virus was also considered. Thirteen primer pairs were designed for use in this assay and a reference database was created using GenBank sequences and reference norovirus samples. The assay was tested for inclusivity and exclusivity using 160 clinical norovirus samples, 3 samples of hepatitis A virus and 3 other closely related viral strains. Results showed that the assay was able to detect norovirus with a sensitivity of 92% and a specificity of 100%. Norovirus identification at the genogroup level was correct for 98% of samples detected by the assay and for 75% of a subset of samples (n = 32) compared at the genotype level. Identification of norovirus genotypes is expected to improve as more reference samples are added to the database. The assay was also capable of detecting and genotyping hepatitis A virus in all 3 samples tested. Overall, the assay developed here allows for detection and differentiation of noroviruses within one working day and may be used as a tool in surveillance efforts or outbreak investigations.
本研究的目的是开发一种检测和区分诺如病毒的方法,该方法采用逆转录聚合酶链反应(RT-PCR),随后进行电喷雾电离质谱分析(ESI-MS)。同时也考虑了甲型肝炎病毒的检测。为此试验设计了13对引物,并利用GenBank序列和诺如病毒参考样本建立了一个参考数据库。使用160份临床诺如病毒样本、3份甲型肝炎病毒样本和3种其他密切相关的病毒株对该方法进行了包容性和排他性测试。结果表明,该方法检测诺如病毒的灵敏度为92%,特异性为100%。在检测到的样本中,该方法对98%的样本在基因组水平上正确鉴定了诺如病毒,在基因型水平上对32份样本子集的75%正确鉴定了诺如病毒。随着更多参考样本被添加到数据库中,预计诺如病毒基因型的鉴定将会得到改善。该方法还能够在所有3份测试样本中检测甲型肝炎病毒并进行基因分型。总体而言,这里开发的方法能够在一个工作日内检测和区分诺如病毒,可作为监测工作或疫情调查的工具。