Genotyping and the quantification of hepatitis C virus by the melting curves in light cycler

Masao Takemura, Hidetsugu Fujigaki, Kanako Takahashi, Kuniaki Saito, Hidehiko Fujii, Hisayasu Wada, Mitsuru Seishima

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1 Citation (Scopus)

Abstract

Detection of the HCV genome is crucial for diagnosis of HCV infection and for monitoring the efficacy of interferon treatment for patients with HCV. We developed a convenient screening test for HCV genotypes 1 and 2 based on the melting curve analysis with SYBER green I. Serum samples were drawn from 114 patients with known chronic HCV infection confirmed to be antibody-positive by immunoblot assay. A characteristic melting profile for each genotype was obtained by monitoring the fluorescence as the temperature increases through the melting point of the PCR product. Serum samples with HCV-RNA genotype (1b, 2a and 2b) were analyzed every test as standard samples and the genotype of unknown samples was determined by the comparison with the melting point of standard samples. Serum samples with known HCV-RNA genotype (1b, 2a and 2b) and HCV-RNA-negative sample were tested using the Light cycler system. The melting curve analysis indicated that melting points are 93.08 +/- 0.56 degrees C for genotype 1b (n = 63), 91.08 +/- 0.49 degrees C for genotype 2a (n = 33), and 91.77 +/- 0.28 degrees C for genotype 2b (n = 18). The melting points for genotypes 1b, 2a, and 2b differed by approximately 1 degree C in each other. The genotype was determined for all samples using Okamoto's method and Light cycler system, and both systems produced absolutely identical results for all the samples studied. Sixty-three of 114 were genotype 1b, 33 samples were genotype 2a, and 18 were genotype 2b. This melting curve analysis is a rapid and convenient screening test for differentiation of HCV genotypes 1 and 2.

Original languageEnglish
Pages (from-to)167-171
Number of pages5
JournalRinsho byori. The Japanese journal of clinical pathology
Volume52
Issue number2
Publication statusPublished - 02-2004

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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