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Updated: Jul 15, 2026
Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis
Published on: April 17, 2017
[Short communication: determination of hepatitis C virus genotypes by INNO-LIPA and sequence analysis methods]
Mustafa Altindiş1, Orhan Cem Aktepe, Zafer Cetinkaya
1Afyon Kocatepe Universitesi Tip Fakültesi, Mikrobiyoloji Anabilim Dali, Afyonkarahisar. maltindis@hotmail.com
Insights
Detecting hepatitis C virus (HCV) genotypes is crucial for treatment. This study compared two methods, Inno-LIPA and sequence analysis, finding high concordance in identifying HCV genotypes.
Area of Science:
- Virology
- Molecular Biology
- Infectious Diseases
Context:
- Hepatitis C virus (HCV) exhibits significant genetic variability, complicating patient management.
- Accurate HCV genotype detection is essential for effective therapy and monitoring chronic infections.
- Thirty patients with confirmed HCV RNA and antibodies were enrolled.
Purpose:
- To compare the performance of Inno-LIPA and sequence analysis for detecting HCV genotypes.
- To evaluate the concordance between two distinct molecular methods for HCV genotyping.
Summary:
- Serum samples were analyzed using Inno-LIPA and sequence analysis (targeting 5'NCR, NS5B regions).
- Both methods utilized reverse transcriptase polymerase chain reaction (RT-PCR) for RNA amplification.
- Results showed strong agreement, with 29 strains identified as genotype 1b, and one strain showing a minor discrepancy (1b/3a vs. 1b).
Impact:
- The study confirms that Inno-LIPA and sequence analysis are reliable and concordant methods for HCV genotyping.
- Findings support the use of these validated techniques for clinical diagnosis and epidemiological studies of HCV.
- High concordance suggests similar sensitivities, aiding in the selection of appropriate diagnostic tools.
Abstract:
The detection of genotypes of hepatitis C virus (HCV) which exhibit very high genetic variability, has a great impact for the therapy and follow-up of the chronicity of infections. The aim of this study was to detect the genotypes of HCV strains by using two different methods. Thirty patients (5 hemodialysis patients, 9 chronic hepatitis C patients, 5 blood donors, 1 hospital staff) who were positive for both anti-HCV (Vitros, Ortho-Clinical Diagnostics) and HCV-RNA (Rotorgene, Artus) were included to the study. The serum samples were studied by Inno-LIPA (Inno-LIPA HCV-II, Innogenetics, Belgium) and sequence analysis (9700 Sequence Detection System, and ABI PRISM 310 Genetic Analyzer, Applied Biosystems, USA) methods. For Inno-LIPA, 5'non-coding region (5'NCR) of HCV-RNA was amplified by reverse transcriptase polymerase chain reaction (RT-PCR) and genotyped by line probes. For sequence analysis (SA), NS5B and 5'NCR regions were amplified by RT-PCR, and genotypic variations were assessed by Cycle Sequencing system (Applied Biosystems, USA). As a result, one strain was found as 1a, and 28 strains were found as 1b with both Inno-LIPA and SA methods, however, one strain was genotyped as 1b/3a by Inno-LIPA, but as 1b by SA method. Our data have indicated that the results obtained by Inno-LIPA and sequence analysis methods were in concordance for the detection of HCV genotypes, considering that they have similar sensitivities.
