Kaondera-Shava, R. F., Lungu, E. and Szomolay, B.  ORCID: https://orcid.org/0000-0002-5375-5533
      2021.
      
      A novel mathematical model of AIDS-associated Kaposi's sarcoma: Analysis and optimal control.
      BioSystems
      200
      
      
      , 104318.
      10.1016/j.biosystems.2020.104318
    
  
  
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Abstract
Kaposi's sarcoma (KS) has been the most common HHV-8 virus-induced neoplasm associated with HIV-1 infection. Although the standard KS therapy has not changed in 20 years, not all cases of KS will respond to the same therapy. The goal of current AIDS-KS treatment modalities is to reconstitute the immune system and suppress HIV-1 replication, but newer treatment modalities are on horizon. There are very few mathematical models that have included HIV-1 viral load (VL) measures, despite VL being a key determinant of treatment outcome. Here we introduce a mathematical model that consolidates the effect of both HIV-1 and HHV-8 VL on KS tumor progression by incorporating low or high VLs into the proliferation terms of the immune cell populations. Regulation of HIV-1/HHV-8 VL and viral reservoir cells is crucial for restoring a patient to an asymptomatic stage. Therefore, an optimal control strategy given by a combined antiretroviral therapy (cART) is derived. The results indicate that the drug treatment strategies are capable of removing the viral reservoirs faster and consequently, the HIV-1 and KS tumor burden is reduced. The predictions of the mathematical model have the potential to offer more effective therapeutic interventions based on viral and virus-infected cell load and support new studies addressing the superiority of VL over CD T-cell count in HIV-1 pathogenesis.
| Item Type: | Article | 
|---|---|
| Date Type: | Publication | 
| Status: | Published | 
| Schools: | Schools > Medicine Research Institutes & Centres > Systems Immunity Research Institute (SIURI)  | 
      
| Publisher: | Elsevier | 
| ISSN: | 0303-2647 | 
| Date of First Compliant Deposit: | 24 March 2021 | 
| Date of Acceptance: | 30 November 2020 | 
| Last Modified: | 23 Nov 2024 15:45 | 
| URI: | https://orca.cardiff.ac.uk/id/eprint/137158 | 
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