Algorithmic approach to high-throughput molecular screening for alpha interferon-resistant genotypes in hepatitis C...

Area of Science:

• Molecular Biology
• Virology
• Medical Diagnostics

Background:

• Hepatitis C virus (HCV) genotyping is crucial for treatment selection and epidemiological studies.
• High-throughput screening methods are needed for efficient molecular pathology laboratories.
• DNA sequencing, while accurate, can be costly and time-consuming for large sample volumes.

Purpose of the Study:

• To evaluate Cleavase Fragment Length Polymorphism (CFLP) analysis as a feasible and valid alternative to DNA sequencing for HCV genotyping.
• To assess the performance of CFLP analysis in a high-volume molecular pathology setting.
• To compare the cost-effectiveness of CFLP analysis with other HCV genotyping methods.

Main Methods:

• CFLP analysis was performed on 61 clinical samples using a 244-bp amplicon from the HCV 5' untranslated region.
• Genotyping results from CFLP were compared with those from nucleotide sequence analysis.
• Reproducibility was assessed through reanalysis in a different laboratory and under varied incubation conditions.

Main Results:

• CFLP analysis demonstrated 100% concordance with DNA sequencing for major HCV genotypes.
• Genotype frequencies determined by CFLP aligned with national estimates.
• CFLP analysis showed 100% reproducibility in sample reanalysis and under different experimental conditions.
• Cost analysis indicated CFLP analysis to be the most economical method ($20 per amplicon).

Conclusions:

• CFLP analysis is a robust, sensitive, specific, and economical method for high-throughput HCV genotyping.
• The method is suitable for large-scale screening of HCV-infected patients, including identification of alpha interferon-resistant genotypes.
• CFLP analysis can be integrated into a reflex testing algorithm following RT-PCR-based HCV detection.