Challenges to Differentiate Hepatitis C Genotype 1 and 6: Results from A Field-Study in Cambodia

Anja De Weggheleire1, Irith De Baetselier2, Sokkab An3

  • 1Clinical Sciences Department, Institute of Tropical Medicine Antwerp, Antwerp, Belgium. adeweggheleire@itg.be.

Insights

Hepatitis C virus (HCV) genotyping in Cambodian coinfected patients revealed genotype 1b and 6 non-a/non-b as most common. Methods relying solely on 5'UTR information are unreliable for Cambodia.

Area of Science:

  • Virology
  • Infectious Diseases
  • Public Health

Background:

  • Hepatitis C virus (HCV) and human immunodeficiency virus (HIV) coinfection presents unique challenges in resource-limited settings.
  • Accurate HCV genotyping is crucial for effective treatment and epidemiological surveillance.

Purpose of the Study:

  • To evaluate the performance and identify challenges of different HCV genotyping methods in a Cambodian HCV/HIV coinfection project.
  • To determine the most prevalent HCV genotypes in this specific patient population.

Main Methods:

  • HCV genotyping was performed on 106 coinfected patients using LightPower Taqman real-time PCR and Versant 2.0 line probe assay.
  • Sequencing of the 5'UTR/core region was used to resolve inconclusive Versant results.
  • Performance comparison between the two genotyping methods was conducted.

Main Results:

  • Versant 2.0 provided interpretable results for 97.2% of samples, identifying genotypes 1b and 6 non-a/non-b as most common.
  • Sequencing confirmed discrepancies, particularly for genotype 6, which was misclassified by the LightPower assay.
  • A definitive genotype was assigned to 104 patients, with 1b (44.2%) and 6 non-a/non-b (39.4%) predominating.

Conclusions:

  • HCV genotypes 1b and 6 non-a/non-b are the most prevalent in Cambodian HCV/HIV coinfected patients.
  • The Versant 2.0 assay, utilizing both 5'UTR and core regions, is more reliable than methods using only 5'UTR information.
  • National guidelines should recommend genotyping methods that include core region analysis for accurate HCV identification in Cambodia.
Abstract

Related Concept Videos