The dynamics of CD4+ T cell proliferation and regulation.

IF 1.8 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2025-12-01 Epub Date: 2025-01-29 DOI:10.1080/17513758.2025.2458867
Mingran Zhang, Junling Ma, Roderick Edwards, Meili Li
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引用次数: 0

Abstract

We use mathematical modeling to study the proliferation dynamics of CD4+ T cells within an immune response. This proliferation is driven by the autocrine reaction of helper T cells and interleukin-2 (IL-2), and regulated by natural regulatory T cells (nTregs). Previous studies suggested that a fratricidal mechanism is necessary to eliminate helper T cells post-infection. Contrary to this, our mathematical analysis establishes that the depletion of these cells is due to two pivotal factors: the saturation in the proliferation rate of helper CD4+ T cells at high IL-2 concentrations, and the activation rate of nTregs outpacing their death rate. This yields an excitable process, such that the proliferation starts once the helper T cell population passes a threshold. Additionally, we find that when the proliferation of nTregs lags behind their mortality, induced regulatory T cells (iTregs) are crucial to curbing the proliferation of helper CD4+ T cells.

CD4+ T细胞增殖及调控的动态。
我们使用数学模型来研究CD4+ T细胞在免疫反应中的增殖动力学。这种增殖是由辅助性T细胞和白细胞介素-2 (IL-2)的自分泌反应驱动的,并由自然调节性T细胞(nTregs)调节。先前的研究表明,一个自相残杀的机制是必要的,以消除辅助性T细胞感染后。与此相反,我们的数学分析表明,这些细胞的消耗是由于两个关键因素:在高IL-2浓度下,辅助性CD4+ T细胞的增殖率饱和,以及nTregs的激活率超过了它们的死亡率。这产生了一个可兴奋的过程,一旦辅助T细胞群超过一个阈值,增殖就开始了。此外,我们发现当ntreg的增殖落后于它们的死亡时,诱导调节性T细胞(iTregs)对抑制辅助性CD4+ T细胞的增殖至关重要。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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