Hancioglu Baris, Swigon David, Clermont Gilles
Department of Mathematics, 301 Thackeray, University of Pittsburgh, Pittsburgh, PA 15260, USA.
J Theor Biol. 2007 May 7;246(1):70-86. doi: 10.1016/j.jtbi.2006.12.015. Epub 2006 Dec 19.
We present a simplified dynamical model of immune response to uncomplicated influenza A virus (IAV) infection, which focuses on the control of the infection by the innate and adaptive immunity. Innate immunity is represented by interferon-induced resistance to infection of respiratory epithelial cells and by removal of infected cells by effector cells (cytotoxic T-cells and natural killer cells). Adaptive immunity is represented by virus-specific antibodies. Similar in spirit to the recent model of Bocharov and Romanyukha [1994. Mathematical model of antiviral immune response. III. Influenza A virus infection. J. Theor. Biol. 167, 323-360], the model is constructed as a system of 10 ordinary differential equations with 27 parameters characterizing the rates of various processes contributing to the course of disease. The parameters are derived from published experimental data or estimated so as to reproduce available data about the time course of IAV infection in a naïve host. We explore the effect of initial viral load on the severity and duration of the disease, construct a phase diagram that sheds insight into the dynamics of the disease, and perform sensitivity analysis on the model parameters to explore which ones influence the most the onset, duration and severity of infection. To account for the variability and speed of adaptation of the adaptive response to a particular virus strain, we introduce a variable that quantifies the antigenic compatibility between the virus and the antibodies currently produced by the organism. We find that for small initial viral load the disease progresses through an asymptomatic course, for intermediate value it takes a typical course with constant duration and severity of infection but variable onset, and for large initial viral load the disease becomes severe. This behavior is robust to a wide range of parameter values. The absence of antibody response leads to recurrence of disease and appearance of a chronic state with nontrivial constant viral load.
我们提出了一个针对单纯甲型流感病毒(IAV)感染的免疫反应简化动力学模型,该模型着重于固有免疫和适应性免疫对感染的控制。固有免疫由干扰素诱导的呼吸道上皮细胞抗感染能力以及效应细胞(细胞毒性T细胞和自然杀伤细胞)对感染细胞的清除来体现。适应性免疫由病毒特异性抗体来体现。与Bocharov和Romanyukha[1994年。抗病毒免疫反应的数学模型。III.甲型流感病毒感染。《理论生物学杂志》167, 323 - 360]最近的模型在理念上相似,该模型构建为一个由10个常微分方程组成的系统,有27个参数表征导致疾病进程的各种过程的速率。这些参数源自已发表的实验数据或经过估算,以便重现关于初次感染IAV的宿主中IAV感染时间进程的现有数据。我们探究了初始病毒载量对疾病严重程度和持续时间的影响,构建了一个能深入了解疾病动态的相图,并对模型参数进行敏感性分析,以探究哪些参数对感染的起始、持续时间和严重程度影响最大。为了考虑适应性反应对特定病毒株的变异性和适应速度,我们引入了一个变量来量化病毒与机体当前产生的抗体之间的抗原兼容性。我们发现,对于较小的初始病毒载量,疾病通过无症状病程发展;对于中等值,它呈现典型病程,感染的持续时间和严重程度恒定,但起始时间可变;对于较大的初始病毒载量,疾病会变得严重。这种行为在广泛的参数值范围内都很稳健。抗体反应的缺失会导致疾病复发以及出现具有非平凡恒定病毒载量的慢性状态。