Hepatitis C Virus Subtype and Evolution Characteristic Among Drug Users, Men Who Have Sex With Men, and the General

Yang Jiao1, Xiaoxi Zhang, Chen Wang

  • 1From the State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention (NCAIDS), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention (China CDC) (YJ, YS, LM), Beijing Chaoyang District Center for Disease Control and Prevention, Beijing, China (YJ, XZ, CW, LL, JL, YH, PH, ZZ, SJ, SL); Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA (KJB, DM); Institute of Pathogen Biology and AIDS Research Center, Chinese Academy of Medical Sciences and Peking Union Medical College (HW); and National Institutes for Food and Drug Control, Beijing, China (JD).

Medicine
|February 13, 2016
PubMed

Insights

Hepatitis C virus (HCV) molecular epidemiology in Beijing shows a complex epidemic, primarily affecting drug users (DUs) with multiple genotypes. The study reveals distinct evolutionary patterns and introduction times for key HCV subtypes in China.

Area of Science:

  • Epidemiology
  • Virology
  • Molecular Biology

Background:

  • Hepatitis C virus (HCV) remains a global health concern.
  • Understanding the molecular epidemiology and evolutionary patterns of HCV is crucial for effective control strategies.
  • Beijing, as a major hub, presents a unique population dynamic for studying infectious disease transmission.

Purpose of the Study:

  • To characterize the current molecular epidemiology of HCV infection in Beijing.
  • To evaluate the evolutionary patterns and introduction times of different HCV subtypes.
  • To analyze HCV prevalence across diverse subpopulations, including drug users (DUs) and men who have sex with men (MSM).

Main Methods:

  • Collected whole blood samples and behavioral data from 10,354 subjects (DUs, MSM, general population) in Beijing (2010-2011).
  • Tested for HCV infection using ELISA and real-time PCR.
  • Sequenced HCV RNA-positive samples (core/E1 and NS5B regions) and performed phylogenetic/phylogeographic analysis using BEAST software.

Main Results:

  • Overall HCV prevalence was 2.1%, with significantly higher rates in DUs (26.2%) compared to MSM (0.54%) and the general population (0.37%).
  • Nine HCV genotypes were detected, with subtypes 3b (36.09%), 1b (32.54%), and 3a (16.57%) being most prevalent.
  • Bayesian analysis estimated subtype 1b introduction to Beijing in 2004, and subtypes 3a/3b in 2006. Subtype 1b showed links to Shanghai, while subtypes 3a/3b had connections to various other Chinese regions.

Conclusions:

  • The HCV epidemic in Beijing is complex and disproportionately affects drug users.
  • Multiple HCV genotypes are circulating, likely introduced from different regions of China.
  • Understanding subtype origins and spread is vital for targeted public health interventions in migrant populations.

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