Analysis of real time PCR amplification efficiencies from three genomic region of dengue virus


Abstract:

Early diagnosis of dengue virus (DENV) infection represents a key factor in preventing clinical complications attributed to the disease. The aim of this study was to evaluate the amplification efficiencies of an in-house quantitative real time-PCR (qPCR) assay of DENV, using the non-structural conserved genomic region protein-5 (NS5) versus two genomic regions usually employed for virus detection, the capsid/pre-membrane region (C-prM) and the 3'-noncoding region (3'NC). One-hundred sixty seven acute phase serum samples from febrile patients were used for validation purposes. Results showed that the three genomic regions had similar amplification profiles and correlation coefficients (0.987-0.999). When isolated viruses were used, the NS5 region had the highest qPCR efficiencies for the four serotypes (98-100%). Amplification from acute serum samples showed that 41.1% (67/167) were positive for the universal assay by at least two of the selected genomic regions. The agreement rates between NS5/C-prM and NS5/3'NC regions were 56.7% and 97%, respectively. Amplification concordance values between C-prM/NS5 and NS5/3'NC regions showed a weak (c = 0.109; CI 95%) and a moderate (k= 0.489; CI 95%) efficiencies in amplification, respectively. Serotyping assay using a singleplex NS5-TaqMan® format was much more sensitive than the C-prM/SYBR Green® I protocol (76%). External evaluation showed a high sensitivity (100%), specificity (78%) and high agreement between the assays. According to the results, the NS5 genomic region provides the best genomic region for optimal detection and typification of DENV in clinical samples.

Año de publicación:

2013

Keywords:

  • Dengue Virus
  • Acute phase diagnosis
  • qPCR amplification
  • NS5 gene region

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Biología molecular
  • Microbiología

Áreas temáticas:

  • Microorganismos, hongos y algas
  • Enfermedades