St John's Institute of Dermatology, King's College London, London, United Kingdom.
PLoS Comput Biol. 2010 Dec 2;6(12):e1001024. doi: 10.1371/journal.pcbi.1001024.
Inflammation is characterized by altered cytokine levels produced by cell populations in a highly interdependent manner. To elucidate the mechanism of an inflammatory reaction, we have developed a mathematical model for immune cell interactions via the specific, dose-dependent cytokine production rates of cell populations. The model describes the criteria required for normal and pathological immune system responses and suggests that alterations in the cytokine production rates can lead to various stable levels which manifest themselves in different disease phenotypes. The model predicts that pairs of interacting immune cell populations can maintain homeostatic and elevated extracellular cytokine concentration levels, enabling them to operate as an immune system switch. The concept described here is developed in the context of psoriasis, an immune-mediated disease, but it can also offer mechanistic insights into other inflammatory pathologies as it explains how interactions between immune cell populations can lead to disease phenotypes.
炎症的特征是细胞群体产生的细胞因子水平发生改变,这些细胞因子的产生是高度相互依存的。为了阐明炎症反应的机制,我们通过细胞群体特定的、剂量依赖性的细胞因子产生率,开发了一个免疫细胞相互作用的数学模型。该模型描述了正常和病理性免疫系统反应所需的标准,并表明细胞因子产生率的改变可能导致不同的稳定水平,从而表现出不同的疾病表型。该模型预测,相互作用的免疫细胞群体可以维持细胞外细胞因子浓度的稳态和升高水平,使它们能够作为免疫系统的开关。这里描述的概念是在银屑病(一种免疫介导的疾病)的背景下发展起来的,但它也可以为其他炎症性病理提供机制上的见解,因为它解释了免疫细胞群体之间的相互作用如何导致疾病表型。