Wodarz Dominik
Department of Ecology and Evolutionary Biology and Department of Mathematics, University of California, 321 Steinhaus Hall, Irvine, CA, 92617, USA,
J Pharmacokinet Pharmacodyn. 2014 Oct;41(5):415-29. doi: 10.1007/s10928-014-9387-8. Epub 2014 Oct 1.
T cell responses are a crucial part of the adaptive immune system in the fight against infections. This article discusses the use of mathematical models for understanding the dynamics of cytotoxic T lymphocyte (CTL) responses against viral infections. Complementing experimental research, mathematical models have been very useful for exploring new hypotheses, interpreting experimental data, and for defining what needs to be measured to improve understanding. This review will start with minimally parameterized models of CTL responses, which have generated some valuable insights into basic dynamics and correlates of control. Subsequently, more biological complexity is incorporated into this modeling framework, examining different mechanisms of CTL expansion, different effector activities, and the influence of T cell help. Models and results are discussed in the context of data from specific infections.
T细胞反应是适应性免疫系统对抗感染的关键部分。本文讨论了使用数学模型来理解细胞毒性T淋巴细胞(CTL)针对病毒感染的反应动力学。作为实验研究的补充,数学模型对于探索新假说、解释实验数据以及确定为增进理解而需要测量的内容非常有用。本综述将从CTL反应的最小参数化模型开始,这些模型已对基本动力学和控制相关因素产生了一些有价值的见解。随后,将更多的生物学复杂性纳入该建模框架,研究CTL扩增的不同机制、不同的效应器活性以及T细胞辅助的影响。将结合特定感染的数据来讨论模型和结果。