Suppr超能文献

抗原竞争动力学在调节免疫反应中的作用

The Role of Antigen-Competitive Dynamics in Regulating the Immune Response.

作者信息

Pooladvand Pantea, Kim Peter S, Fazekas de St Groth Barbara

机构信息

School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, 2006, Australia.

Discipline of Pathology, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.

出版信息

Bull Math Biol. 2021 Mar 17;83(5):40. doi: 10.1007/s11538-021-00867-7.

Abstract

The clonal expansion of T cells during an infection is tightly regulated to ensure an appropriate immune response against invading pathogens. Although experiments have mapped the trajectory from expansion to contraction, the interplay between mechanisms that control this response is not fully understood. Based on experimental data, we propose a model in which the dynamics of CD4+ T cell expansion is controlled through the interactions between T cells and antigen-presenting cells, where T cell stimulation is proportional to antigen availability, and antigen availability is regulated through downregulation of antigen by T cells. This antigen-dependent-feedback mechanism operates alongside an intrinsic reduction in cell proliferation rate that may also be responsible for slowing expansion. Our model can successfully predict T cell recruitment rates into division, expansion, and clonal burst size per cell when initial precursors are varied or when T cells are introduced late into an ongoing immune response. Importantly, the findings demonstrate that a feedback mechanism between T cells and antigen-presenting cells, along with a reduction in cell proliferation rate, can explain the ability of the immune system to adapt its response to variations in initial conditions or changes that occur later in the response, ensuring a robust yet controlled line of defence against pathogens.

摘要

感染期间T细胞的克隆扩增受到严格调控,以确保针对入侵病原体产生适当的免疫反应。尽管实验已经描绘了从扩增到收缩的轨迹,但控制这种反应的机制之间的相互作用尚未完全了解。基于实验数据,我们提出了一个模型,其中CD4+T细胞扩增的动力学是通过T细胞与抗原呈递细胞之间的相互作用来控制的,在该模型中,T细胞刺激与抗原可用性成正比,而抗原可用性是通过T细胞对抗原的下调来调节的。这种抗原依赖性反馈机制与细胞增殖速率的内在降低同时起作用,细胞增殖速率的内在降低也可能导致扩增减缓。当改变初始前体细胞或在正在进行的免疫反应后期引入T细胞时,我们的模型可以成功预测T细胞进入分裂、扩增的招募率以及每个细胞的克隆爆发大小。重要的是,研究结果表明,T细胞与抗原呈递细胞之间的反馈机制,以及细胞增殖速率的降低,可以解释免疫系统如何根据初始条件的变化或反应后期发生的变化来调整其反应,从而确保对病原体有强大而可控的防御。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验