Molecular epidemiology of the hepatitis C virus in Western Siberia

A V Shustov1, G V Kochneva, G F Sivolobova

  • 1State Research Center of Virology and Biotechnology Vector, Koltsovo, Novosibirsk region, Russia. avshusto@utmb.edu

Journal of Medical Virology
|September 21, 2005
PubMed

Insights

Hepatitis C virus (HCV) infection is prevalent in Western Siberia, with genotypes 1b and 3a being most common. Intravenous drug use and multiple sexual partners are significant risk factors.

Area of Science:

  • Virology
  • Epidemiology
  • Public Health

Background:

  • Western Siberia lacks comprehensive data on Hepatitis C virus (HCV) infection prevalence, genotypic diversity, and associated risk factors.
  • Understanding these epidemiological aspects is crucial for targeted prevention and control strategies.

Purpose of the Study:

  • To determine the prevalence and genotypic distribution of HCV infection in Western Siberia.
  • To identify key risk factors associated with HCV transmission in the region.

Main Methods:

  • A cross-sectional molecular epidemiological survey involving 2000 participants across four distinct groups.
  • HCV infection was assessed using anti-HCV IgG testing and HCV RNA detection.
  • Genotyping of HCV isolates was performed via direct sequencing and phylogenetic analysis of the 5'-UTR and NS5B regions.

Main Results:

  • HCV prevalence varied significantly across groups, with the highest in a narcological center (48.0%) and AIDS center (35.8%).
  • Genotypes 1b (50.3%) and 3a (44.8%) were predominant, showing an intermediate diversity between European Russia and China.
  • Significant risk factors included intravenous drug use (OR=77.5), unemployment (OR=16.3), multiple sexual partners (OR=4.3), and male homosexual activity (OR=6.6).
  • Genotype 1 was more prevalent in older individuals, while genotype 3 was more common in younger populations.

Conclusions:

  • HCV infection poses a significant public health challenge in Western Siberia, particularly among specific risk groups.
  • The identified genotypic distribution and risk factors provide essential insights for developing effective public health interventions and prevention programs tailored to the region.