Department of Virology, Oswaldo Cruz Foundation (Fiocruz), Recife, Pernambuco, Brazil.
Agreste Academic Center, Federal University of Pernambuco (UFPE), Caruaru, Pernambuco, Brazil.
Sci Rep. 2019 Mar 14;9(1):4494. doi: 10.1038/s41598-019-40960-5.
The rapid spread of Zika virus (ZIKV) represents a global public health problem, especially in areas that harbor several mosquito species responsible for virus transmission, such as Brazil. In these areas, improvement in mosquito control needs to be a top priority, but mosquito viral surveillance occurs inefficiently in ZIKV-endemic countries. Quantitative reverse transcription PCR (qRT-PCR) is the gold standard for molecular diagnostic of ZIKV in both human and mosquito samples. However, the technique presents high cost and limitations for Point-of-care (POC) diagnostics, which hampers its application for a large number of samples in entomological surveillance programs. Here, we developed and validated a one-step reverse transcription LAMP (RT-LAMP) platform for detection of ZIKV in mosquito samples. The RT-LAMP assay was highly specific for ZIKV and up to 10,000 times more sensitive than qRT-PCR. Assay validation was performed using 60 samples from Aedes aegypti and Culex quinquefasciatus mosquitoes collected in Pernambuco State, Brazil, which is at the epicenter of the Zika epidemic. The RT-LAMP had a sensitivity of 100%, specificity of 91.18%, and overall accuracy of 95.24%. Thus, our POC diagnostics is a powerful and inexpensive tool to monitor ZIKV in mosquito populations and will allow developing countries to establish better control strategies for this devastating pathogen.
寨卡病毒(ZIKV)的迅速传播是一个全球性的公共卫生问题,特别是在那些存在多种传播病毒的蚊子物种的地区,如巴西。在这些地区,改善蚊子控制需要成为重中之重,但寨卡病毒流行国家的蚊子病毒监测效率低下。实时荧光定量 RT-PCR(qRT-PCR)是人类和蚊子样本中寨卡病毒分子诊断的金标准。然而,该技术对于即时检测(POC)诊断具有高成本和局限性,这限制了其在大量样本的昆虫学监测计划中的应用。在这里,我们开发并验证了一种用于检测蚊子样本中寨卡病毒的一步法逆转录环介导等温扩增(RT-LAMP)平台。该 RT-LAMP 检测法对寨卡病毒具有高度特异性,比 qRT-PCR 灵敏 10,000 倍以上。使用从巴西伯南布哥州收集的 60 份埃及伊蚊和库蚊样本进行了检测验证,巴西是寨卡疫情的中心。RT-LAMP 的灵敏度为 100%,特异性为 91.18%,总准确率为 95.24%。因此,我们的 POCT 诊断方法是一种强大且廉价的工具,可用于监测蚊子种群中的寨卡病毒,并使发展中国家能够为这种具有破坏性的病原体制定更好的控制策略。