Centre for Systems, Dynamics and Control, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
Immunology. 2018 Apr;153(4):488-501. doi: 10.1111/imm.12851. Epub 2017 Nov 22.
Signal transducers and activators of transcription (STATs) are key molecular determinants of T-cell fate and effector function. Several inflammatory diseases are characterized by an altered balance of T-cell phenotypes and cytokine secretion. STATs, therefore, represent viable therapeutic targets in numerous pathologies. However, the underlying mechanisms by which the same STAT proteins regulate both the development of different T-cell phenotypes and their plasticity during changes in extracellular conditions remain unclear. In this study, we investigated the STAT-mediated regulation of T-cell phenotype formation and plasticity using mathematical modelling and experimental data for intracellular STAT signalling proteins. The close fit of our model predictions to the experimental data allows us to propose a potential mechanism for T-cell switching. According to this mechanism, T-cell phenotype switching is the result of the relative redistribution of STAT dimer complexes caused by the extracellular cytokine-dependent STAT competition effects. The developed model predicts that the balance between the intracellular STAT species defines the amount of the produced cytokines and thereby T-cell phenotypes. The model predictions are consistent with the experimentally observed interferon-γ to interleukin-10 switching that regulates human T helper type 1/type 1 regulatory T-cell responses. The proposed model is applicable to a number of STAT signalling circuits.
信号转导子和转录激活子(STATs)是 T 细胞命运和效应功能的关键分子决定因素。几种炎症性疾病的特点是 T 细胞表型和细胞因子分泌的平衡发生改变。因此,STAT 是许多病理过程中可行的治疗靶点。然而,同一 STAT 蛋白调节不同 T 细胞表型的发育及其在外环境变化过程中的可塑性的潜在机制尚不清楚。在这项研究中,我们使用数学建模和细胞内 STAT 信号蛋白的实验数据研究了 STAT 介导的 T 细胞表型形成和可塑性的调节。我们的模型预测与实验数据的紧密拟合使我们能够提出 T 细胞转换的潜在机制。根据该机制,T 细胞表型转换是细胞外细胞因子依赖的 STAT 竞争效应引起的 STAT 二聚体复合物相对再分配的结果。所开发的模型预测,细胞内 STAT 物质的平衡决定了产生的细胞因子的数量,从而决定了 T 细胞表型。该模型预测与调节人类辅助性 T 细胞 1/1 调节性 T 细胞反应的干扰素-γ至白细胞介素-10 转换的实验观察结果一致。所提出的模型适用于许多 STAT 信号转导回路。