Istituto per le Applicazioni del Calcolo "M. Picone", CNR, c/o Dip. di Matematica, Universita di Roma "Tor Vergata", Via della Ricerca Scientifica, 1; I-00133 Roma, Italy.
Math Biosci Eng. 2010 Apr;7(2):277-300. doi: 10.3934/mbe.2010.7.277.
Mycobacterium tuberculosis (Mtb) is a widely diffused infection. However, in general, the human immune system is able to contain it. In this work, we propose a mathematical model which describes the early immune response to the Mtb infection in the lungs, also including the possible evolution of the infection in the formation of a granuloma. The model is based on coupled reaction-diffusion-transport equations with chemotaxis, which take into account the interactions among bacteria, macrophages and chemoattractant. The novelty of this approach is in the modeling of the velocity field, proportional to the gradient of the pressure developed between the cells, which makes possible to deal with a full multidimensional description and efficient numerical simulations. We perform a linear stability analysis of the model and propose a robust implicit-explicit scheme to deal with long time simulations. Both in one and two-dimensions, we find that there are threshold values in the parameters space, between a contained infection and the uncontrolled bacteria growth, and the generation of granuloma-like patterns can be observed numerically.
结核分枝杆菌(Mtb)是一种广泛传播的感染。然而,一般来说,人体免疫系统能够控制它。在这项工作中,我们提出了一个数学模型,该模型描述了肺部对 Mtb 感染的早期免疫反应,还包括在肉芽肿形成中感染的可能演变。该模型基于带有趋化性的耦合反应-扩散-输运方程,考虑了细菌、巨噬细胞和趋化因子之间的相互作用。这种方法的新颖之处在于对速度场的建模,该速度场与细胞间产生的压力梯度成正比,这使得能够进行完整的多维描述和有效的数值模拟。我们对模型进行了线性稳定性分析,并提出了一种鲁棒的隐式-显式方案来处理长时间的模拟。无论是在一维还是二维情况下,我们都发现参数空间中有一个阈值,在这个阈值范围内,感染是可控的,而不会失控地生长,并且可以在数值上观察到肉芽肿样模式的产生。