The importance of global influenza surveillance usingsimple and rapid diagnostics has been frequently high-lighted. For influenza type B, the need exists for discrimination between the two currently circulating major lineages, represented by virus strains B/Victoria/2/87 and B/Yamagata/16/88, as only one of these lineages is represented in seasonal influenza vaccines. Here, the development and characterization of a low-density DNA microarray (designated BChip) designed to detect and identify the two influenza B lineages is presented. The assay involved multiplex nucleic acid amplification and microarray hybridization of viral RNA. Detection and lineage identification was achieved in less than 8 h. In a study of 62 influenza B virus samples from 19 countries, dating from 1945 to 2005, as well as 5 negative control samples, the assay exhibited 97percent sensitivity and 100percent specificity. Furthermore, application of a trained artificial neural network to the pattern of relative fluorescence signals resulted in correct lineage assignment for 94percent of 50 applicable influenza B viruses, with no false assignments.
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机译:使用简单,快速的诊断方法进行全球流感监测的重要性经常受到关注。对于B型流感,有必要区分以病毒株B / Victoria / 2/87和B / Yamagata / 16/88代表的两个当前正在传播的主要谱系,因为季节性流感疫苗中仅代表了其中一个谱系。在此,介绍了旨在检测和鉴定两种乙型流感谱系的低密度DNA微阵列(称为BChip)的开发和表征。该测定涉及病毒RNA的多重核酸扩增和微阵列杂交。在不到8小时的时间内即可完成检测和谱系鉴定。在一项对1945年至2005年来自19个国家的62例乙型流感病毒样本以及5例阴性对照样本的研究中,该检测方法的灵敏度为97%,特异性为100%。此外,将训练有素的人工神经网络应用于相对荧光信号的模式可对50种适用的B型流感病毒中的94%进行正确的谱系分配,没有错误的分配。
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