BMC Microbiology (Feb 2024)

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

  • Yuanfang Shi,
  • Qingxue Zhou,
  • Shilei Dong,
  • Qi Zhao,
  • Xue Wu,
  • Peng Yang,
  • Xiaoyan Zeng,
  • Xinggui Yang,
  • Yan Tan,
  • Xinhua Luo,
  • Zhenghua Xiao,
  • Xu Chen

DOI
https://doi.org/10.1186/s12866-024-03220-9
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 13

Abstract

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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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