Abstract
Background: Recent studies have focused on whether different hepatitis C virus (HCV) genotypes are associated with different profiles of pathogenicity, infectivity, and response to antiviral therapy. We needed to develop a convenient screening test for HCV genotypes 1 and 2. Method: We tested 55 patients with known chronic HCV infection. Viral RNA was extracted from serum samples using an automatic viral RNA purification system, and HCV genotypes were determined by reverse transcriptase-polymerase chain reaction using LightCycler melting curve analysis with SYBR Green I. Results: HCV RNA was detected in all samples and each genotype was determined. The mean (standard deviation) melting temperatures for subtypes lb (n = 32), 2a (n = 15) and 2b (n = 8) were 93.14°C (0.51°C), 91.08°C (0.49°C) and 91.77°C (0.27°C), respectively. Genotypes 1 and 2 were differentiated within 3 h by this method. Conclusions: Our melting curve analysis is a rapid and convenient screening test for differential identification of HCV genotypes 1 and 2.
| Original language | English |
|---|---|
| Pages (from-to) | 130-132 |
| Number of pages | 3 |
| Journal | Annals of Clinical Biochemistry |
| Volume | 41 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 03-2004 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Clinical Biochemistry
Fingerprint
Dive into the research topics of 'Genotyping of hepatitis C virus by melting curve analysis with SYBR Green I'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver