Sulzer B, van Hemmen J L, Neumann A U, Behn U
Physik-Department der TU München, Germany.
Bull Math Biol. 1993 Nov;55(6):1133-82. doi: 10.1007/BF02460702.
A model employing separate dose-dependent response functions for proliferation and differentiation of idiotypically interacting B cell clones is presented. For each clone the population dynamics of proliferating B cells, non-proliferating B cells and free antibodies are considered. An effective response function, which contains the total impact of proliferation and differentiation at the fixed points, is defined in order to enable an exact analysis. The analysis of the memory states is restricted in this paper to a two-species system. The conditions for the existence of locally stable steady states with expanded B cell and antibody populations are established for various combinations of different field-response functions (e.g. linear, saturation, log-bell functions). The stable fixed points are interpreted as memory states in terms of immunity and tolerance. It is proven that a combination of linear response functions for both proliferation and differentiation does not give rise to stable fixed points. However, due to competition between proliferation and differentiation saturation response functions are sufficient to obtain two memory states, provided proliferation precedes differentiation and also saturates earlier. The use of log-bell-shaped response functions for both proliferation and differentiation gives rise to a "mexican-hat" effective response function and allows for multiple (four to six) memory states. Both a primary response and a much more pronounced secondary response are observed. The stability of the memory states is studied as a function of the parameters of the model. The attractors lose their stability when the mean residence time of antibodies in the system is much longer than the B cells' lifetime. Neither the stability results nor the dynamics are qualitatively changed by the existence of non-proliferating B cells: memory states can exist and be stable without non-proliferating B cells. Nevertheless, the activation of non-proliferating B cells and the competition between proliferation and differentiation enlarge the parameter regime for which stable attractors are found. In addition, it is shown that a separate activation step from virgin to active B cells renders the virgin state stable for any choice of biologically reasonable parameters.
本文提出了一个模型,该模型针对独特型相互作用的B细胞克隆的增殖和分化采用了独立的剂量依赖性反应函数。对于每个克隆,考虑了增殖性B细胞、非增殖性B细胞和游离抗体的群体动态。定义了一个有效反应函数,它包含了固定点处增殖和分化的总影响,以便进行精确分析。本文将记忆状态的分析限制在一个双物种系统中。针对不同场反应函数(如线性、饱和、对数钟形函数)的各种组合,建立了具有扩大的B细胞和抗体群体的局部稳定稳态存在的条件。稳定的固定点在免疫和耐受方面被解释为记忆状态。事实证明,增殖和分化的线性反应函数组合不会产生稳定的固定点。然而,由于增殖和分化之间的竞争,饱和反应函数足以获得两种记忆状态,前提是增殖先于分化且也更早饱和。增殖和分化均使用对数钟形反应函数会产生一个“墨西哥帽”有效反应函数,并允许出现多个(四到六个)记忆状态。观察到了初级反应和更为明显的次级反应。研究了记忆状态的稳定性作为模型参数的函数。当抗体在系统中的平均停留时间远长于B细胞的寿命时,吸引子失去稳定性。非增殖性B细胞的存在并未定性地改变稳定性结果和动力学:没有非增殖性B细胞时,记忆状态也可以存在并稳定。然而,非增殖性B细胞的激活以及增殖和分化之间的竞争扩大了发现稳定吸引子的参数范围。此外,结果表明,从原始B细胞到活化B细胞的单独激活步骤使得原始状态对于任何生物学合理参数的选择都是稳定的。