Modelling and Simulation of the Dynamics of the Antigen-Specific T Cell Response Using Variable Structure Control Theory.
Modelling and Simulation of the Dynamics of the Antigen-Specific T Cell Response Using Variable Structure Control Theory.
复制标题
DOI：
10.1371/journal.pone.0166163
复制
发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Spurgeon SK
中科院分区：
文献类型：
--
作者：
Anelone AJ;Spurgeon SK
免疫学中的实验和数学研究表明，程序性T细胞对猛烈感染的反应动力学可以很方便地用S形或不连续免疫反应函数来模拟。本文假设这项已有的工作与具有变结构控制(VSC)律的工程系统的动态行为之间具有很强的协同性。这些发现促使人们将免疫系统解释为一种可变结构的控制系统。结果表明，从变结构控制理论出发，可以为特定的T细胞反应发展出分析评估从健康到疾病转变的动力学性质和条件。特别是，它表明，在实验中观察到的特定T细胞反应的稳健性特性可以用VSC观点来解析解释。此外，VSC框架在确定克服慢性淋巴细胞性脉络膜脑膜炎病毒(LCMV)感染所需的T细胞帮助方面的预测能力被证明。研究结果表明，用变结构控制理论研究免疫系统为评价免疫动力学和实验观察提供了一个新的框架。建模和模拟工具的结果具有预测能力，以确定如何修改免疫反应以实现健康结果，这可能在药物开发和疫苗设计中应用。
Experimental and mathematical studies in immunology have revealed that the dynamics of the programmed T cell response to vigorous infection can be conveniently modelled using a sigmoidal or a discontinuous immune response function. This paper hypothesizes strong synergies between this existing work and the dynamical behaviour of engineering systems with a variable structure control (VSC) law. These findings motivate the interpretation of the immune system as a variable structure control system. It is shown that dynamical properties as well as conditions to analytically assess the transition from health to disease can be developed for the specific T cell response from the theory of variable structure control. In particular, it is shown that the robustness properties of the specific T cell response as observed in experiments can be explained analytically using a VSC perspective. Further, the predictive capacity of the VSC framework to determine the T cell help required to overcome chronic Lymphocytic Choriomeningitis Virus (LCMV) infection is demonstrated. The findings demonstrate that studying the immune system using variable structure control theory provides a new framework for evaluating immunological dynamics and experimental observations. A modelling and simulation tool results with predictive capacity to determine how to modify the immune response to achieve healthy outcomes which may have application in drug development and vaccine design.
登录
查看更多内容
影响因子：
2
作者：
DEBOER, RJ;PERELSON, AS
通讯作者：
PERELSON, AS
影响因子：
5.4
作者：
Ribeiro, Ruy M.;Qin, Li;Perelson, Alan S.
通讯作者：
Perelson, Alan S.
影响因子：
3.7
作者：
Althaus, Christian L.;De Boer, Rob J.
通讯作者：
De Boer, Rob J.
影响因子：
30.5
作者：
Badovinac, VP;Porter, BB;Harty, JT
通讯作者：
Harty, JT
影响因子：
30.5
作者：
Kaech, SM;Ahmed, R
通讯作者：
Ahmed, R