Grinev Andriyan, Chancey Caren, Volkova Evgeniya, Chizhikov Vladimir, Rios Maria
Laboratory of Emerging Pathogens (LEP), Division of Emerging and Transfusion Transmitted Diseases (DETTD), Office of Blood Research and Review (OBRR), Center for Biologics Evaluation and Research (CBER), Food and Drug Administration (FDA), Silver Spring, MD, United States.
Laboratory of Emerging Pathogens (LEP), Division of Emerging and Transfusion Transmitted Diseases (DETTD), Office of Blood Research and Review (OBRR), Center for Biologics Evaluation and Research (CBER), Food and Drug Administration (FDA), Silver Spring, MD, United States.
J Virol Methods. 2017 Jan;239:17-25. doi: 10.1016/j.jviromet.2016.10.011. Epub 2016 Oct 25.
West Nile virus (WNV) has become endemic in the Western Hemisphere since its first introduction in the United States in 1999. An important factor associated with annual reoccurrence of WNV outbreaks in the U.S. is viral adaptation to domestic mosquitoes and birds through accumulation of spontaneous mutations in the WNV genome. Newly emerged mutations in the viral genome can potentially negatively affect the performance of existing diagnostic and screening assays and future vaccines. Therefore, the genetic monitoring of the WNV viral population during annual outbreaks is extremely important for public health and can only be achieved by application of efficient sample preparation methods followed by high throughput genetic analysis. In this study, we developed and evaluated a method for specific isolation of WNV genomic RNA from plasma samples without cultivation of the virus in cells. In combination with the microarray-based genetic analysis of the isolated WNV genomic RNA, this approach is suitable for fast, high throughput genotyping of circulating WNV genetic variants. The methods were evaluated using WNV isolates from the 1999-2012U.S. epidemics.
自1999年西尼罗河病毒(WNV)首次传入美国以来,它已在西半球成为地方病。与美国每年WNV疫情复发相关的一个重要因素是病毒通过WNV基因组中自发突变的积累而适应家蚊和鸟类。病毒基因组中新出现的突变可能会对现有诊断和筛查检测以及未来疫苗的性能产生负面影响。因此,在每年的疫情期间对WNV病毒群体进行基因监测对公共卫生极为重要,而这只能通过应用高效的样本制备方法,随后进行高通量基因分析来实现。在本研究中,我们开发并评估了一种无需在细胞中培养病毒即可从血浆样本中特异性分离WNV基因组RNA的方法。结合基于微阵列的对分离出的WNV基因组RNA的基因分析,该方法适用于对循环中的WNV基因变体进行快速、高通量基因分型。使用来自1999 - 2012年美国疫情的WNV分离株对这些方法进行了评估。