Theoretical Biology, Utrecht University, Utrecht, The Netherlands.
Mol Syst Biol. 2010;6:348. doi: 10.1038/msb.2010.4. Epub 2010 Feb 16.
Basic virus dynamics models have been essential in understanding quantitative issues of HIV replication. However, several parts of the viral life cycle remain elusive. One of the most critical steps is the start of viral transcription, which is governed by the regulatory protein trans-activator of transcription (Tat) that induces a positive feedback loop. It has been shown that this feedback loop can alternate between two states leading to a transient activation of viral transcription. Using Monte Carlo simulations, we integrate the transactivation circuit into a new virus dynamics model having an age-dependent transactivation rate and reversion into latency. The cycling of infected cells between an activated and latent state results in the typical decelerating decay of virus load following therapy. Further, we hypothesize that the activation of latently infected cells is governed by the basal transcription rate of the integrated provirus rather than the intra- or extracellular environment. Finally, our systems approach to modeling virus dynamics offers a promising framework to infer the extracellular dynamics of cell populations from their intracellular reaction networks.
基础病毒动力学模型对于理解 HIV 复制的定量问题至关重要。然而,病毒生命周期的几个部分仍然难以捉摸。其中最关键的步骤之一是病毒转录的开始,这由转录激活蛋白(Tat)调控,诱导正反馈环。已经表明,这种反馈环可以在两种状态之间交替,导致病毒转录的短暂激活。我们使用蒙特卡罗模拟将转录激活回路整合到一个新的病毒动力学模型中,该模型具有与年龄相关的转录激活率和潜伏期的恢复。受感染细胞在激活和潜伏状态之间的循环导致病毒载量在治疗后呈典型的减速衰减。此外,我们假设潜伏感染细胞的激活受整合前病毒的基础转录率而非细胞内外环境控制。最后,我们对病毒动力学建模的系统方法提供了一个有前途的框架,可以从细胞内反应网络推断细胞群体的细胞外动力学。