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pmid: 9819190
The aim of this study was to develop a reliable and simple method for hepatitis C virus (HCV)-PCR using standard, automated laboratory equipment. HCV-RNA was extracted from serum and amplified in a single PCR with an internal standard. The PCR product was detected using fluoroimmunoassay. Quantification was based on external and internal standards. Linearity was observed over a wide range (10-10(7) geq). Mean inter and intra serial coefficients of variation were 35% and 23%, respectively. The limit of quantification was 1000 geq/ml based on intra and inter serial variations, while levels of 110 geq/ml were always detectable. Lower concentrations were intermittently positive. The ability to separate HCV-signals in healthy and infected persons was good, based on the distribution of HCV-signals from 353 random blood donors and 191 patient samples. To illustrate the applicability of the test, HCV-RNA quantification was performed in 11 patients during treatment with interferon alpha-2b. Ten of 11 patients showed a decline in HCV-RNA within the first few weeks of treatment. After four weeks most patients were still HCV-RNA positive but below the limit of quantification. The present method for quantification of HCV-RNA was shown to have sensitivity at the level of nested PCR techniques. Until now HCV-PCR has been complicated, time-consuming and costly, and therefore not suitable for routine diagnostics. The PCR method described here is easy to perform, fast and cost-effective.
Base Sequence, Fluorescent Antibody Technique, Interferon-alpha, Hepacivirus, Interferon alpha-2, Hepatitis C, Polymerase Chain Reaction, Recombinant Proteins, Humans, RNA, Viral, DNA Primers
Base Sequence, Fluorescent Antibody Technique, Interferon-alpha, Hepacivirus, Interferon alpha-2, Hepatitis C, Polymerase Chain Reaction, Recombinant Proteins, Humans, RNA, Viral, DNA Primers
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 55 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |