Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters










Database
Language
Publication year range
1.
J Clin Lab Anal ; 21(5): 340-7, 2007.
Article in English | MEDLINE | ID: mdl-17847116

ABSTRACT

Typing of hepatitis C virus (HCV) isolates is currently a prerequisite for adequate tailoring of antiviral combination therapy. In many diagnostic laboratories, there seems to be a tendency toward convenient and time-saving procedures utilizing amplification products, which are already available from preceding qualitative or quantitative HCV ribonucleic acid (RNA) assays. In this context, we evaluated the performance characteristics of a combination of techniques, i.e., transcription-mediated amplification-line probe assay (TMA-LiPA), which links highly sensitive TMA of HCV RNA to the VERSANT HCV Genotype Assay (version 1). A total of 100 clinical samples were genotyped by TMA-LiPA. The obtained results were compared to those recorded by the original, nested reverse transcription (RT)-polymerase chain reaction (PCR)-based VERSANT assay, the core-related GEN-ETI-K DEIA, and phylogenetic analyses of partial sequences from the HCV core and NS5B regions. TMA-LiPA assigned the correct genotype to all 100 HCV isolates. For subtyping of genotype 1 and 2 isolates, TMA-LiPA only showed discriminatory powers of 82% and 53%, respectively. Thus, TMA-LiPA in our hands turned out as a convenient and time-saving routine procedure for HCV typing which currently provides sufficient information for clinical purposes. Like all 5'untranslated region (UTR)-based assays, the technique is limited, however, in its potentials to resolve the complexity of existing HCV subtypes.


Subject(s)
Hepacivirus/classification , Nucleic Acid Amplification Techniques , Adult , Aged , Aged, 80 and over , Base Sequence , Female , Genotype , Hepacivirus/genetics , Hepacivirus/isolation & purification , Hepatitis C/diagnosis , Hepatitis C/virology , Humans , Male , Middle Aged , Molecular Sequence Data , Phylogeny , RNA, Viral/chemistry , Reverse Transcriptase Polymerase Chain Reaction , Sequence Alignment , Sequence Analysis, RNA
SELECTION OF CITATIONS
SEARCH DETAIL
...