Transmission patterns of HIV and hepatitis C virus among networks of people who inject drugs

PLoS One. 2011;6(7):e22245. doi: 10.1371/journal.pone.0022245. Epub 2011 Jul 20.

Abstract

Background: The risk-related behaviours and practices associated with injection drug use remain a driver of HIV and hepatitis C virus (HCV) transmission throughout the world. Here we evaluated HIV and HCV transmission patterns in the context of social networks of injection drug users (IDU) recruited from a higher incidence region in order to better understand factors that contribute to ongoing transmission among IDU.

Methods: IDU recruited through a chain-referral method provided biological specimens for analysis. HIV and HCV positive specimens were sequenced and analyzed using phylogenetic methods (Neighbour-joining and bayesian) and transmission patterns of HIV and HCV evaluated in the context of the recruitment networks.

Results: Among the 407 recruited IDU, HCV and HIV prevalence were 60.6% and 10.1%, respectively; 98% of HIV positive individuals were co-infected with HCV. Thirty-six percent of HCV sequences were associated with clusters, compared to 67% of HIV sequences. Four (16.7%) of the 24 HCV clusters contained membership separated by 2 or fewer recruitment cycles, compared to 10 (41.6%) derived from more than one recruitment component. Two (28.6%) of the 7 HIV clusters contained membership separated by 2 or fewer recruitment cycles while 6 (85.7%) were composed of inter component membership.

Conclusions: Few HIV and HCV transmissions coincided with the recruitment networks, suggesting that they occurred in a different social context or a context not captured by the recruitment network. However, among the complete cohort, a higher degree of HIV clustering indicates many are recent infections originating from within current social networks, whereas a larger proportion of HCV infections may have occurred earlier in injecting history and in the context of a different social environment.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cluster Analysis
  • Drug Users*
  • Female
  • Genotyping Techniques
  • HIV Infections / blood
  • HIV Infections / transmission*
  • HIV-1 / genetics
  • HIV-1 / pathogenicity
  • Hepacivirus / genetics
  • Hepacivirus / pathogenicity
  • Hepatitis C / blood
  • Hepatitis C / transmission*
  • Humans
  • Injections
  • Male
  • Risk-Taking
  • Serologic Tests
  • Social Networking*