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  • 标题:A stochastic Markov branching process framework to evaluate HIV eradication
  • 本地全文:下载
  • 作者:Alessandro Boianelli ; Esteban A. Hernandez–Vargas
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:13
  • 页码:85-90
  • DOI:10.1016/j.ifacol.2018.07.259
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAlthough antiretroviral therapies (ARTs) reduce viral load to undetectable levels, HIV can persist within a small pool of long-lived resting memory CD4+ T cells. In concert with ART, different latency reversal agents (LRAs) are under development to activate latent reservoirs thus reducing viral persistence. Based on a stochastic Markov branching process with HIV reservoirs dynamics in isolation, simulations suggest that 10 folds increase in the activation rate from latently to actively infected could reduce the extinction time for all reservoirs to 50 months. However, when viral dynamics and new infection cycles are incorporated in a more realistic scenario, stochastic simulations point out that LRAs would require at least 30 fold increase in the activation rate to induce concomitant eradication of the different sub-reservoirs.
  • 关键词:KeywordsStochastic ModelingMarkov Branching ProcessHIV cureReservoirs
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