Ciupe Stanca M, Ribeiro Ruy M, Nelson Patrick W, Perelson Alan S
Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe, NM 87507, USA.
J Theor Biol. 2007 Jul 7;247(1):23-35. doi: 10.1016/j.jtbi.2007.02.017. Epub 2007 Mar 12.
Mathematical models have been used to understand the factors that govern infectious disease progression in viral infections. Here we focus on hepatitis B virus (HBV) dynamics during the acute stages of the infection and analyze the immune mechanisms responsible for viral clearance. We start by presenting the basic model used to interpret HBV therapy studies conducted in chronically infected patients. We then introduce additional models to study acute infection where immune responses presumably play an important role in determining whether the infection will be cleared or become chronic. We add complexity incrementally and explain each step of the modeling process. Finally, we validate the model against experimental data to determine how well it represents the biological system and, consequently, how useful are its predictions. In particular, we find that a cell-mediated immune response plays an important role in controlling the virus after the peak in viral load.
数学模型已被用于理解在病毒感染中控制传染病进展的因素。在此,我们聚焦于感染急性期的乙型肝炎病毒(HBV)动态变化,并分析负责病毒清除的免疫机制。我们首先介绍用于解释在慢性感染患者中进行的HBV治疗研究的基本模型。然后我们引入其他模型来研究急性感染,在急性感染中免疫反应大概在决定感染是会被清除还是转为慢性方面发挥重要作用。我们逐步增加模型的复杂性,并解释建模过程的每一步。最后,我们根据实验数据验证模型,以确定它对生物系统的表征程度,以及因此其预测的有用性。特别地,我们发现细胞介导的免疫反应在病毒载量达到峰值后对控制病毒起着重要作用。