Mathematical modelling of the impact of haematopoietic stem cell-delivered gene therapy for HIV

J Gene Med. 2009 Dec;11(12):1077-86. doi: 10.1002/jgm.1401.

Abstract

Background: Gene therapy represents a new treatment paradigm for HIV that is potentially delivered by a safe, once-only therapeutic intervention.

Methods: Using mathematical modelling, we assessed the possible impact of autologous haematopoietic stem cell (HSC) delivered, anti-HIV gene therapy. The therapy comprises a ribozyme construct (OZ1) directed to a conserved region of HIV-1 delivered by transduced HSC (OZ1+HSC). OZ1+HSC contributes to the CD4+ T lymphocyte and monocyte/macrophage cell pools that preferentially expand under the selective pressure of HIV infection. The model was used to predict the efficacy of OZ1 in a highly active antiretroviral therapy (HAART) naïve individual and a HAART-experienced individual undergoing two structured treatment operations. In the standard scenario, OZ1+HSC was taken as 20% of total body HSC.

Results: For a HAART-naïve individual, modelling predicts a reduction of HIV RNA at 1 and 2 years post-OZ1 therapy of 0.5 log(10) and 1 log(10), respectively. Eight years after OZ1 therapy, the CD4+ T-lymphocyte count was 271 cells/mm(3) compared to 96 cells/mm(3) for an untreated individual. In a HAART-experienced individual HIV RNA was reduced by 0.34 log(10) and 0.86 log(10) at 1 and 2 years. The OZ1 effect was maximal when both CD4+ T lymphocytes and monocytes/macrophages were protected from successful, productive infection by OZ1.

Conclusions: The modelling indicates a single infusion of HSC cell-delivered gene therapy can impact on HIV viral load and CD4 T-lymphocyte count. Given that gene therapy avoids the complications associated with HAART, there is significant potential for this approach in the treatment of HIV.

MeSH terms

  • Adult
  • Anti-HIV Agents / therapeutic use
  • Antiretroviral Therapy, Highly Active
  • CD4-Positive T-Lymphocytes / virology
  • Clinical Trials, Phase II as Topic
  • Computer Simulation
  • Drug Carriers
  • Genetic Therapy*
  • HIV Infections / drug therapy*
  • HIV-1 / drug effects*
  • Hematopoietic Stem Cells*
  • Humans
  • Macrophages / immunology
  • Macrophages / metabolism
  • Models, Theoretical*
  • RNA, Catalytic / genetics*
  • RNA, Catalytic / therapeutic use
  • RNA, Viral / genetics
  • Treatment Outcome
  • Viral Load

Substances

  • Anti-HIV Agents
  • Drug Carriers
  • RNA, Catalytic
  • RNA, Viral