Why the study?
Does RT-LAMP combined with LFD technology provide rapid and reliable detection of CVA16 compared to real-time RT-PCR?
Does RT-LAMP combined with LFD technology provide rapid and reliable detection of CVA16 compared to real-time RT-PCR?
The RT-LAMP-LFD assay provides a highly sensitive, specific, and easy-to-use method for rapid detection of CVA16, making it suitable for resource-limited clinical settings.
May enable rapid point-of-care CVA16 detection; leaves open prospective clinical validation before routine use.
UNLABELLED: In this study, a reverse transcription loop-mediated isothermal amplification (RT-LAMP) combined with lateral flow device (LFD) technology to rapidly detect CVA16 was developed and evaluated. RT-LAMP assay was optimized to amplify VP1 gene of CVA16. Amplified products were analysed by LFD and capillary electrophoresis. The RT-LAMP-LFD assay showed 100% specificity in detecting CVA16, and showed analytical sensitivity of 0·55 TCID50 per reaction mixture. Comparison of the RT-LAMP-LFD assay with real-time RT-PCR developed previously in clinical specimens showed 93·3% agreement. The RT-LAMP-LFD assay is more sensitive in detecting CVA16 RNA. The RT-LAMP-LFD assay presented here might offer a rapid and simple alternative in clinical diagnosis of CVA16. SIGNIFICANCE AND IMPACT OF THE STUDY: Coxsackievirus A16 (CVA16) is one of the major causative agents of hand, foot and mouth disease (HFMD). Rapid and reliable detection and typing of it can limit the spread. We developed a reverse transcription loop-mediated isothermal amplification (RT-LAMP) combined with lateral flow device (LFD) technology to rapidly detect CVA16. The high sensitivity and specificity and its ease of use make this assay ideal for use in resource-limited settings such as primary care facilities and clinical laboratories in developing countries.
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Ge et al. (2015) studied Coxsackievirus A16 (CVA16) infection. RT-LAMP combined with lateral flow device (LFD) vs. Real-time RT-PCR was evaluated on Specificity and agreement in detecting CVA16.
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