Rapid, visual, label-based biosensor platform for identification of hepatitis C virus in clinical applications

Autor: Yuanfang Shi, Qingxue Zhou, Shilei Dong, Qi Zhao, Xue Wu, Peng Yang, Xiaoyan Zeng, Xinggui Yang, Yan Tan, Xinhua Luo, Zhenghua Xiao, Xu Chen
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: BMC Microbiology, Vol 24, Iss 1, Pp 1-13 (2024)
Druh dokumentu: article
ISSN: 1471-2180
DOI: 10.1186/s12866-024-03220-9
Popis: Abstract Objectives In the current study, for the first time, we reported a novel HCV molecular diagnostic approach termed reverse transcription loop-mediated isothermal amplification integrated with a gold nanoparticles-based lateral flow biosensor (RT-LAMP-AuNPs-LFB), which we developed for rapid, sensitive, specific, simple, and visual identification of HCV. Methods A set of LAMP primer was designed according to 5’untranslated region (5’UTR) gene from the major HCV genotypes 1b, 2a, 3b, 6a, and 3a, which are prevalent in China. The HCV-RT-LAMP-AuNPs-LFB assay conditions, including HCV-RT-LAMP reaction temperature and time were optimized. The sensitivity, specificity, and selectivity of our assay were evaluated in the current study. The feasibility of HCV-RT-LAMP-AuNPs-LFB was confirmed through clinical serum samples from patients with suspected HCV infections. Results An unique set of HCV-RT-LAMP primers were successfully designed targeting on the 5’UTR gene. The optimal detection process, including crude nucleic acid extraction (approximately 5 min), RT-LAMP reaction (67℃, 30 min), and visual interpretation of AuNPs-LFB results (~ 2 min), could be performed within 40 min without specific instruments. The limit of detection was determined to be 20 copies per test. The HCV-RT-LAMP-AuNPs-LFB assay exhibited high specificity and anti-interference. Conclusions These preliminary results confirmed that the HCV-RT-LAMP-AuNPs-LFB assay is a sensitive, specific, rapid, visual, and cost-saving assay for identification of HCV. This diagnostic approach has great potential value for point-of-care (POC) diagnostic of HCV, especially in resource-challenged regions.
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