Program for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts, USA.
Curr Opin HIV AIDS. 2018 Sep;13(5):428-434. doi: 10.1097/COH.0000000000000490.
To provide a summary of the contributions of mathematical modeling to understanding of HIV persistence during antiretroviral therapy.
Although HIV persistence during therapy could be caused by continual viral replication or slow-decaying latent infection, most evidence points toward the latter mechanism. The latent reservoir is maintained by a balance of cell death, proliferation, and reactivation, and new methods to estimate the relative contributions of these rates use a wide range of experimental data. This has led to new quantitative predictions about the potential benefit of therapies such as latency-reversing agents or antiproliferative drugs.
Results of these mathematical modeling studies can be used to design and interpret future trials of new therapies targeting HIV persistence.
总结数学建模在理解抗逆转录病毒治疗期间 HIV 持续存在方面的贡献。
尽管治疗期间 HIV 的持续存在可能是由持续的病毒复制或缓慢衰减的潜伏感染引起的，但大多数证据指向后者的机制。潜伏库是通过细胞死亡、增殖和再激活的平衡来维持的，而使用广泛的实验数据来估计这些速率的相对贡献的新方法。这导致了关于潜伏逆转剂或抗增殖药物等治疗方法潜在益处的新的定量预测。
这些数学建模研究的结果可用于设计和解释针对 HIV 持续存在的新治疗方法的未来试验。
