Detection of circulating HCV recombinant form RF1_2k/1b in blood serum of patients by real-time RT-PCR

Ivan Alekseevich Akimov1, D I Timofeev1, A R Mavzyutov2,3

  • 1AO «Vector-Best».

Insights

A new RT-PCR method accurately detects the hepatitis C virus (HCV) recombinant RF1_2k/1b, often misclassified by commercial kits. This improves treatment for millions affected by chronic hepatitis C complications.

Area of Science:

  • Virology
  • Molecular Diagnostics
  • Infectious Diseases

Background:

  • Hepatitis C virus (HCV) infection affects 70 million globally, causing 400,000 deaths annually.
  • Accurate HCV genotyping is crucial for effective antiviral treatment, as drug efficacy varies by viral genotype.
  • Prevalent HCV recombinant form RF1_2k/1b is frequently misclassified as genotype 2 by commercial kits.

Purpose of the Study:

  • To develop and validate a reliable method for detecting HCV RF1_2k/1b RNA in patient blood samples.
  • To address the misclassification of RF1_2k/1b by existing commercial HCV genotyping kits.
  • To improve the accuracy of HCV typing for appropriate patient management.

Main Methods:

  • Developed a reverse transcription-polymerase chain reaction (RT-PCR) assay targeting two HCV genome regions (5'UTR and NS5b).
  • Tested the method on 240 blood serum samples from HCV-infected patients previously genotyped by commercial kits.
  • Validated results using Sanger sequencing and phylogenetic analysis.

Main Results:

  • The new RT-PCR method identified 50 (20.8%) cases of RF1_2k/1b among samples classified as genotype 2 or mixed by commercial kits.
  • Three mixed infections involving RF1_2k/1b and other subtypes (1a, 3a, 1b) were accurately identified.
  • The method demonstrated high accuracy, confirmed by Sanger sequencing and phylogenetic analysis.

Conclusions:

  • The developed RT-PCR method accurately identifies the prevalent HCV recombinant RF1_2k/1b.
  • This method can overcome the limitations of commercial kits in correctly classifying HCV genotypes.
  • Implementation in clinical settings can lead to more precise diagnosis and optimized treatment strategies for hepatitis C patients.