Bailey Emily S, Wang Xinye, Ma Mai-Juan, Wang Guo-Lin, Gray Gregory C
Division of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, USA.
Duke Global Health Institute, Duke University, Durham, North Carolina, USA.
Trop Dis Travel Med Vaccines. 2021 Mar 17;7(1):8. doi: 10.1186/s40794-021-00133-7.
Influenza viruses are an important cause of disease in both humans and animals, and their detection and characterization can take weeks. In this study, we sought to compare classical virology techniques with a new rapid microarray method for the detection and characterization of a very diverse, panel of animal, environmental, and human clinical or field specimens that were molecularly positive for influenza A alone (n = 111), influenza B alone (n = 3), both viruses (n = 13), or influenza negative (n = 2) viruses. All influenza virus positive samples in this study were first subtyped by traditional laboratory methods, and later evaluated using the FluChip-8G Insight Assay (InDevR Inc. Boulder, CO) in laboratories at Duke University (USA) or at Duke Kunshan University (China). The FluChip-8G Insight multiplexed assay agreed with classical virologic techniques 59 (54.1%) of 109 influenza A-positive, 3 (100%) of the 3 influenza B-positive, 0 (0%) of 10 both influenza A- and B-positive samples, 75% of 24 environmental samples including those positive for H1, H3, H7, H9, N1, and N9 strains, and 80% of 22 avian influenza samples. It had difficulty with avian N6 types and swine H3 and N2 influenza specimens. The FluChip-8G Insight assay performed well with most human, environmental, and animal samples, but had some difficulty with samples containing multiple viral strains and with specific animal influenza strains. As classical virology methods are often iterative and can take weeks, the FluChip-8G Insight Assay rapid results (time range 8 to 12 h) offers considerable time savings. As the FluChip-8G analysis algorithm is expected to improve over time with addition of new subtypes and sample matrices, the FluChip-8G Insight Assay has considerable promise for rapid characterization of novel influenza viruses affecting humans or animals.
流感病毒是人类和动物疾病的重要病因，其检测和特征鉴定可能需要数周时间。在本研究中，我们试图将传统病毒学技术与一种新的快速微阵列方法进行比较，以检测和鉴定一组非常多样化的动物、环境以及人类临床或现场标本，这些标本仅甲型流感呈分子阳性（n = 111）、仅乙型流感呈分子阳性（n = 3）、两种病毒均呈分子阳性（n = 13）或流感病毒呈阴性（n = 2）。本研究中所有流感病毒阳性样本首先通过传统实验室方法进行亚型鉴定，随后在美国杜克大学或中国昆山杜克大学的实验室中使用FluChip-8G Insight检测法（InDevR公司，科罗拉多州博尔德市）进行评估。FluChip-8G Insight多重检测法与传统病毒学技术的结果一致率为：109份甲型流感阳性样本中的59份（54.1%）、3份乙型流感阳性样本中的3份（100%）、10份甲乙型流感均阳性样本中的0份（0%）、24份环境样本（包括H1、H3、H7、H9、N1和N9毒株阳性样本）中的75%，以及22份禽流感样本中的80%。该方法对禽N6型以及猪H3和N2型流感标本检测存在困难。FluChip-8G Insight检测法对大多数人类、环境和动物样本检测效果良好，但对含有多种病毒株的样本以及特定动物流感毒株检测存在一些困难。由于传统病毒学方法通常需要反复操作且可能耗时数周，FluChip-8G Insight检测法的快速结果（时间范围为8至12小时）可节省大量时间。随着FluChip-8G分析算法有望随着新亚型和样本基质的增加而不断改进，FluChip-8G Insight检测法在快速鉴定影响人类或动物的新型流感病毒方面具有巨大潜力。
