PLoS ONE (Mar 2011)

Viral linkage in HIV-1 seroconverters and their partners in an HIV-1 prevention clinical trial.

  • Mary S Campbell,
  • James I Mullins,
  • James P Hughes,
  • Connie Celum,
  • Kim G Wong,
  • Dana N Raugi,
  • Stefanie Sorensen,
  • Julia N Stoddard,
  • Hong Zhao,
  • Wenjie Deng,
  • Erin Kahle,
  • Dana Panteleeff,
  • Jared M Baeten,
  • Francine E McCutchan,
  • Jan Albert,
  • Thomas Leitner,
  • Anna Wald,
  • Lawrence Corey,
  • Jairam R Lingappa,
  • Partners in Prevention HSV/HIV Transmission Study Team

DOI
https://doi.org/10.1371/journal.pone.0016986
Journal volume & issue
Vol. 6, no. 3
p. e16986

Abstract

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BACKGROUND:Characterization of viruses in HIV-1 transmission pairs will help identify biological determinants of infectiousness and evaluate candidate interventions to reduce transmission. Although HIV-1 sequencing is frequently used to substantiate linkage between newly HIV-1 infected individuals and their sexual partners in epidemiologic and forensic studies, viral sequencing is seldom applied in HIV-1 prevention trials. The Partners in Prevention HSV/HIV Transmission Study (ClinicalTrials.gov #NCT00194519) was a prospective randomized placebo-controlled trial that enrolled serodiscordant heterosexual couples to determine the efficacy of genital herpes suppression in reducing HIV-1 transmission; as part of the study analysis, HIV-1 sequences were examined for genetic linkage between seroconverters and their enrolled partners. METHODOLOGY/PRINCIPAL FINDINGS:We obtained partial consensus HIV-1 env and gag sequences from blood plasma for 151 transmission pairs and performed deep sequencing of env in some cases. We analyzed sequences with phylogenetic techniques and developed a Bayesian algorithm to evaluate the probability of linkage. For linkage, we required monophyletic clustering between enrolled partners' sequences and a Bayesian posterior probability of ≥ 50%. Adjudicators classified each seroconversion, finding 108 (71.5%) linked, 40 (26.5%) unlinked, and 3 (2.0%) indeterminate transmissions, with linkage determined by consensus env sequencing in 91 (84%). Male seroconverters had a higher frequency of unlinked transmissions than female seroconverters. The likelihood of transmission from the enrolled partner was related to time on study, with increasing numbers of unlinked transmissions occurring after longer observation periods. Finally, baseline viral load was found to be significantly higher among linked transmitters. CONCLUSIONS/SIGNIFICANCE:In this first use of HIV-1 sequencing to establish endpoints in a large clinical trial, more than one-fourth of transmissions were unlinked to the enrolled partner, illustrating the relevance of these methods in the design of future HIV-1 prevention trials in serodiscordant couples. A hierarchy of sequencing techniques, analysis methods, and expert adjudication contributed to the linkage determination process.