Universidade Federal de Juiz de Fora, Campus Universitário, Bairro São Pedro, Rua José Lourenço Kelmer s/n, Juiz de Fora, MG, Brazil.
BMC Bioinformatics. 2013;14 Suppl 6(Suppl 6):S7. doi: 10.1186/1471-2105-14-S6-S7. Epub 2013 Apr 17.
In recent years, there has been an increasing interest in the mathematical and computational modeling of the human immune system (HIS). Computational models of HIS dynamics may contribute to a better understanding of the relationship between complex phenomena and immune response; in addition, computational models will support the development of new drugs and therapies for different diseases. However, modeling the HIS is an extremely difficult task that demands a huge amount of work to be performed by multidisciplinary teams. In this study, our objective is to model the spatio-temporal dynamics of representative cells and molecules of the HIS during an immune response after the injection of lipopolysaccharide (LPS) into a section of tissue. LPS constitutes the cellular wall of Gram-negative bacteria, and it is a highly immunogenic molecule, which means that it has a remarkable capacity to elicit strong immune responses. We present a descriptive, mechanistic and deterministic model that is based on partial differential equations (PDE). Therefore, this model enables the understanding of how the different complex phenomena interact with structures and elements during an immune response. In addition, the model's parameters reflect physiological features of the system, which makes the model appropriate for general use.
近年来，人们对人类免疫系统 (HIS) 的数学和计算建模越来越感兴趣。HIS 动力学的计算模型可能有助于更好地理解复杂现象与免疫反应之间的关系；此外，计算模型将支持针对不同疾病的新药和疗法的开发。然而，对 HIS 进行建模是一项极其困难的任务，需要多学科团队付出大量的工作。在这项研究中，我们的目标是在 LPS 注入组织的一段后，对免疫反应期间 HIS 的代表性细胞和分子的时空动态进行建模。LPS 构成革兰氏阴性菌的细胞壁，它是一种高度免疫原性的分子，这意味着它具有引起强烈免疫反应的显著能力。我们提出了一个基于偏微分方程 (PDE) 的描述性、机械性和确定性模型。因此，该模型使我们能够了解在免疫反应过程中不同复杂现象如何与结构和元素相互作用。此外，模型的参数反映了系统的生理特征，这使得模型适合于通用用途。
