Author: Mu, Yonglin; Zeng, Jiawei; Chen, Qianqian; Liu, Jia; Wang, Lili; Yao, Fujia; Cui, Meng; He, Zhixiang; Zhang, Chiyu; Xiao, Ming; Lan, Ke
Title: New method for the visual detection of human respiratory syncytial virus using reverse transcription loop-mediated amplification() Cord-id: dfcqhvn9 Document date: 2014_9_15
ID: dfcqhvn9
Snippet: Human respiratory syncytial virus (HRSV) is a seasonal respiratory pathogen that causes respiratory infection in children and the elderly. A new, reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) assay was developed for the rapid (within 1 h), simultaneous detection of A and B group HRSV. Primers specific for groups A and B were designed to amplify the N and L genes of HRSV, respectively. A fluorescent dye, calcein, was used as an indicator for the endpoint visual detection
Document: Human respiratory syncytial virus (HRSV) is a seasonal respiratory pathogen that causes respiratory infection in children and the elderly. A new, reverse transcriptase loop-mediated isothermal amplification (RT-LAMP) assay was developed for the rapid (within 1 h), simultaneous detection of A and B group HRSV. Primers specific for groups A and B were designed to amplify the N and L genes of HRSV, respectively. A fluorescent dye, calcein, was used as an indicator for the endpoint visual detection and/or real-time amplification of HRSV RNA. The detection limit of the new method was 281.17 50% tissue culture infective doses (TCID50)/ml for HRSV A and 1.58 TCID50/ml for HRSV B. To evaluate the validity of this method, a comparison with RT-PCR was performed using 77 nasopharyngeal swabs as samples. Both RT-LAMP and RT-PCR detected HRSV in 38 HRSV samples, yielding a positive rate of 49%. Of the RT-LAMP positive samples, 36 (95%) were also positive by RT-PCR, while two were negative by RT-PCR. Among the 36 RT-LAMP and RT-PCR positive samples, 11 belonged to HRSV group A, while 25 belonged to group B. The results show that the new RT-LAMP is simple, rapid and well suited for HRSV diagnosis, especially in a limited-resource setting.
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