Literature DB >> 10405395

Genotype dependence of hepatitis C virus load measurement in commercially available quantitative assays.

J Mellor1, A Hawkins, P Simmonds.   

Abstract

Standardization and genotype independence of methods used to quantify hepatitis C virus (HCV) RNA in clinical specimens are necessary for accurate assessment of the role of HCV quantitation as a prognostic marker for HCV infection and monitoring of the response to antiviral treatment. Commercially available methods used to measure HCV loads include PCR-based (Roche Monitor) and hybridization-based (Quantiplex bDNA-2) methods. Recently, a new version of the Roche Monitor assay (version 2.0) has become available; it has been modified to achieve more equal quantitation of different HCV genotypes. Consistent with previous reports, Roche Monitor version 1.0 substantially underestimated concentrations of RNA transcripts of types 2b, 3a, 4a, 5a, and 6a and virus loads in individuals infected with genotypes 2 to 6 relative to reference tests. However, version 2.0 achieved equivalent quantitation of each genotype over a narrow quantitative range (10(3) to 5 x 10(5) copies of RNA/ml) but significantly underestimated RNA concentrations above this range. The assay showed an equivalent inability to quantify high levels of HCV RNA in plasma samples, and this was responsible for the falsely narrow range of virus loads detected in HCV-infected individuals. In contrast, the Chiron bDNA-2 assay could only measure RNA concentrations in the upper quantitative range (2 x 10(5) to 5 x 10(7) copies of RNA/ml) but showed equivalent sensitivity for genotypes 1 to 5; however, concentrations of type 6a RNA transcripts and virus loads in clinical specimens from individuals infected with type 6a were underestimated by a factor of 2 to 4. Differences were observed between PCR- and hybridization-based assays in their relative quantitation of HCV RNA transcripts and HCV genomic RNA, which may cause problems with the use of transcripts for interassay calibration.

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Year:  1999        PMID: 10405395      PMCID: PMC85273     

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  20 in total

1.  Hepatitis C plasma viral load is associated with HCV genotype but not with HIV coinfection.

Authors:  A Berger; M von Depka Prondzinski; H W Doerr; H Rabenau; B Weber
Journal:  J Med Virol       Date:  1996-04       Impact factor: 2.327

2.  Levels of hepatitis C virus in blood donors infected with different viral genotypes. International HCV Collaborative Study Group.

Authors:  D B Smith; F Davidson; P Yap; H Brown; J Kolberg; J Detmer; M Urdea; P Simmonds
Journal:  J Infect Dis       Date:  1996-03       Impact factor: 5.226

3.  Implications of variations of "conserved" regions of hepatitis C virus genome.

Authors:  J Y Lau; P Simmonds; M S Urdea
Journal:  Lancet       Date:  1995-08-12       Impact factor: 79.321

4.  Efficacy of interferon alfa therapy in chronic hepatitis C patients depends primarily on hepatitis C virus RNA level.

Authors:  G Yamada; M Takatani; F Kishi; M Takahashi; T Doi; T Tsuji; S Shin; M Tanno; M S Urdea; J A Kolberg
Journal:  Hepatology       Date:  1995-11       Impact factor: 17.425

5.  Accurate quantification of hepatitis C virus (HCV) RNA from all HCV genotypes by using branched-DNA technology.

Authors:  J Detmer; R Lagier; J Flynn; C Zayati; J Kolberg; M Collins; M Urdea; R Sánchez-Pescador
Journal:  J Clin Microbiol       Date:  1996-04       Impact factor: 5.948

6.  Pretreatment serum hepatitis C virus RNA levels and hepatitis C virus genotype are the main and independent prognostic factors of sustained response to interferon alfa therapy in chronic hepatitis C.

Authors:  M Martinot-Peignoux; P Marcellin; M Pouteau; C Castelnau; N Boyer; M Poliquin; C Degott; I Descombes; V Le Breton; V Milotova
Journal:  Hepatology       Date:  1995-10       Impact factor: 17.425

7.  Serum hepatitis C virus RNA level as a predictor of subsequent response to interferon-alpha therapy in Japanese patients with chronic hepatitis C.

Authors:  E Orito; M Mizokami; T Nakano; H Terashima; O Nojiri; K Sakakibara; M Mizuno; M Ogino; M Nakamura; Y Matsumoto
Journal:  J Med Virol       Date:  1994-12       Impact factor: 2.327

8.  Quantitative branched DNA assay and genotyping for hepatitis C virus RNA in Chinese patients with acute and chronic hepatitis C.

Authors:  C Y Chan; S D Lee; S J Hwang; R H Lu; C L Lu; K J Lo
Journal:  J Infect Dis       Date:  1995-02       Impact factor: 5.226

Review 9.  Host and viral features in chronic HCV infection: relevance to interferon responsiveness.

Authors:  A Craxì; S Magrin; C Fabiano; C Linea; P Almasio
Journal:  Res Virol       Date:  1995 Jul-Aug

10.  Preparation and characterization of RNA standards for use in quantitative branched DNA hybridization assays.

Authors:  M L Collins; C Zayati; J J Detmer; B Daly; J A Kolberg; T A Cha; B D Irvine; J Tucker; M S Urdea
Journal:  Anal Biochem       Date:  1995-03-20       Impact factor: 3.365

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  20 in total

1.  Strengths and limitations of commercial tests for hepatitis C virus RNA quantification.

Authors:  Chihiro Morishima; Minjun Chung; Ka Wing Ng; Donald J Brambilla; David R Gretch
Journal:  J Clin Microbiol       Date:  2004-01       Impact factor: 5.948

2.  Quantification of hepatitis C virus in human liver and serum samples by using LightCycler reverse transcriptase PCR.

Authors:  Peter A White; Yong Pan; Anthony J Freeman; George Marinos; Rosemary A Ffrench; Andrew R Lloyd; William D Rawlinson
Journal:  J Clin Microbiol       Date:  2002-11       Impact factor: 5.948

3.  Performance of the New Bayer VERSANT HCV RNA 3.0 assay for quantitation of hepatitis C virus RNA in plasma and serum: conversion to international units and comparison with the Roche COBAS Amplicor HCV Monitor, Version 2.0, assay.

Authors:  Marcel Beld; Roel Sentjens; Sjoerd Rebers; Christine Weegink; Jan Weel; Cees Sol; René Boom
Journal:  J Clin Microbiol       Date:  2002-03       Impact factor: 5.948

4.  Assessment of viral loads in patients with chronic hepatitis C with AMPLICOR HCV MONITOR version 1.0, COBAS HCV MONITOR version 2.0, and QUANTIPLEX HCV RNA version 2.0 assays.

Authors:  M Martinot-Peignoux; V Le Breton; S Fritsch; G Le Guludec; N Labouret; F Keller; P Marcellin
Journal:  J Clin Microbiol       Date:  2000-07       Impact factor: 5.948

5.  Performance characteristics of a quantitative, homogeneous TaqMan RT-PCR test for HCV RNA.

Authors:  J Kleiber; T Walter; G Haberhausen; S Tsang; R Babiel; M Rosenstraus
Journal:  J Mol Diagn       Date:  2000-08       Impact factor: 5.568

6.  Hepatitis C virus core mutations reduce the sensitivity of a fluorescence enzyme immunoassay.

Authors:  H Tokita; G R Kaufmann; M Matsubayashi; I Okuda; T Tanaka; H Harada; M Mukaide; K Suzuki; D A Cooper
Journal:  J Clin Microbiol       Date:  2000-09       Impact factor: 5.948

7.  Verification of an assay for quantification of hepatitis C virus RNA by use of an analyte-specific reagent and two different extraction methods.

Authors:  Michael S Forman; Alexandra Valsamakis
Journal:  J Clin Microbiol       Date:  2004-08       Impact factor: 5.948

8.  External quality assessment program for qualitative and quantitative detection of hepatitis C virus RNA in diagnostic virology.

Authors:  Jurjen Schirm; Anton M van Loon; Elizabeth Valentine-Thon; Paul E Klapper; Jim Reid; Graham M Cleator
Journal:  J Clin Microbiol       Date:  2002-08       Impact factor: 5.948

9.  Performance characteristics of a quantitative hepatitis C virus RNA assay using COBAS AmpliPrep total nucleic acid isolation and COBAS taqman hepatitis C virus analyte-specific reagent.

Authors:  Michael S Forman; Alexandra Valsamakis
Journal:  J Mol Diagn       Date:  2008-02-14       Impact factor: 5.568

10.  Variable ratio of hepatitis C virus RNA to viral core antigen in patient sera.

Authors:  Christian G Schüttler; Christine Thomas; Thomas Discher; Georg Friese; Jürgen Lohmeyer; Ralph Schuster; Stephan Schaefer; Wolfram H Gerlich
Journal:  J Clin Microbiol       Date:  2004-05       Impact factor: 5.948

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