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Modeling brain lentiviral infections during antiretroviral therapy in AIDS

  • Author / Creator
    Roda, Weston C
  • Understanding human immunodeficiency-1 (HIV-1) replication and latency in different reservoirs is an ongoing challenge in the care of patients with HIV/AIDS. A mathematical model was created that predicted HIV-1 and simian immunodeficiency virus (SIV) infection dynamics within the brain during effective combination antiretroviral therapy (cART). By developing a two compartment mathematical approach, a predictive model was generated from existing empiric data. Based on previous reports quantifying total viral DNA levels in brain from HIV-1 and SIV infections, estimates of proviral DNA burden were made, which were fit to a mathematical model predicting viral accrual in brain macrophages from primary infection. To our knowledge this is the first mathematical modeling study to quantify HIV-1 and SIV infection dynamics in the brain. Our modeling study indicates that HIV-1 and SIV provirus burdens in brain increase slowly over time. Assuming antiretroviral therapy suppresses HIV-1 infection outside the brain, an effective antiretroviral therapy could eradicate HIV-1 infection in the brain, albeit over a decade for patients without neurological complications and over two decades for those with HAND.

  • Subjects / Keywords
  • Graduation date
    2016-06:Fall 2016
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3R20S46K
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Mathematical and Statistical Sciences
  • Specialization
    • Applied Mathematics
  • Supervisor / co-supervisor and their department(s)
    • Li, Michael (Department of Mathematical and Statistical Sciences)
    • Power, Christopher (Division of Neurology, Department of Medicine)
  • Examining committee members and their departments
    • Yi, Yingfei (Department of Mathematical and Statistical Sciences)
    • Power, Christopher (Division of Neurology, Department of Medicine)
    • Li, Michael (Department of Mathematical and Statistical Sciences)
    • Wang, Hao (Department of Mathematical and Statistical Sciences)