| Literature DB >> 31043467 |
Johannes Vermehren1, Christoph Sarrazin1,2, Kai-Henrik Peiffer3, Lisa Kuhnhenn1, Evelyn Stelzl4, Julia Dietz1, Simone Susser1, Andrea Oliver Tal1, Fabian Finkelmeier1, Eli Zuckerman5, Marcus Cornberg6, Mira Barak7, Valeria Piazzolla8, Alessandra Mangia8, Stefan Zeuzem1, Harald H Kessler4.
Abstract
Besides seven major hepatitis C virus (HCV) genotypes (GT), a number of intergenotypic recombinant strains have been described. These so-called chimeras combine genetic characteristics of different HCV genotypes. However, correct genotype classification is important, as choice and duration of direct-acting antiviral (DAA) treatment is mainly based on the viral genotype. Therefore, misclassification of chimeras might lead to suboptimal treatment of patients infected with these strains. For example, 2k/1b chimeras are typically described as HCV genotype 2 strains by commercially available hybridization assays, but real-time PCR-based tests recognizing another HCV region might be more suitable for correct chimera detection. In this study, the analytic capacity of the hybridization-assay Versant HCV Genotype 2.0 (LiPA 2.0) and the real-time PCR-based-assays cobas HCV GT and Abbott RealTime HCV Genotype II were tested in a selected cohort of 230 patients infected with HCV genotype 1 (n = 53) and 2 (n = 177) and 48 patients infected with HCV 2/1 chimeric strains. While the Versant HCV Genotype 2.0 (LiPA 2.0) assay failed to identify chimeras in all of the patients (48/48, 100%), cobas HCV GT and Abbott HCV Genotype II assays identified chimeras correctly in 90% (43/48) and 65% (31/48) of the cases, respectively. In conclusion, while the hybridization-based Versant HCV Genotype 2.0 (LiPA 2.0) assay seems to be unsuitable for detection of HCV 2/1 chimeras, use of the real-time PCR-based assays cobas HCV GT and Abbott RealTime HCV Genotype II led to a higher rate of chimera detection.Entities:
Keywords: 2k/1b; assay; chimera; hepatitis C virus; recombinant
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Year: 2019 PMID: 31043467 PMCID: PMC6595458 DOI: 10.1128/JCM.00060-19
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948