Suppr超能文献

增殖与分化速率的反馈调节解释了 CD4 T 细胞扩增对前体细胞数量的依赖性。

Feedback regulation of proliferation vs. differentiation rates explains the dependence of CD4 T-cell expansion on precursor number.

机构信息

Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow 119333, Russia.

出版信息

Proc Natl Acad Sci U S A. 2011 Feb 22;108(8):3318-23. doi: 10.1073/pnas.1019706108. Epub 2011 Feb 3.

Abstract

The mechanisms regulating clonal expansion and contraction of T cells in response to immunization remain to be identified. A recent study established that there was a log-linear relation between CD4 T-cell precursor number (PN) and factor of expansion (FE), with a slope of ∼-0.5 over a range of 3-30,000 precursors per mouse. The results suggested inhibition of precursor expansion either by competition for specific antigen-presenting cells or by the action of other antigen-specific cells in the same microenvironment as the most likely explanation. Several molecular mechanisms potentially accounting for such inhibition were examined and rejected. Here we adopt a previously proposed concept, "feedback-regulated balance of growth and differentiation," and show that it can explain the observed findings. We assume that the most differentiated effectors (or memory cells) limit the growth of less differentiated effectors, locally, by increasing the rate of differentiation of the latter cells in a dose-dependent manner. Consequently, expansion is blocked and reversed after a delay that depends on initial PN, accounting for the dependence of the peak of the response on that number. We present a parsimonious mathematical model capable of reproducing immunization response kinetics. Model definition is achieved in part by requiring consistency with available BrdU-labeling and carboxyfluorescein diacetate succinimidyl ester (CFSE)-dilution data. The calibrated model correctly predicts FE as a function of PN. We conclude that feedback-regulated balance of growth and differentiation, although awaiting definite experimental characterization of the hypothetical cells and molecules involved in regulation, can explain the kinetics of CD4 T-cell responses to antigenic stimulation.

摘要

调节 T 细胞克隆扩增和收缩以响应免疫的机制仍有待确定。最近的一项研究确立了 CD4 T 细胞前体数(PN)与扩增因子(FE)之间存在对数线性关系,在 3-30000 个前体/只的范围内斜率约为-0.5。结果表明,前体扩增的抑制作用可能是通过竞争特定的抗原呈递细胞或通过同一微环境中其他抗原特异性细胞的作用来实现的,这是最可能的解释。我们检查并拒绝了几种潜在的分子机制来解释这种抑制作用。在这里,我们采用了先前提出的“生长和分化的反馈调节平衡”概念,并表明它可以解释观察到的发现。我们假设,最分化的效应器(或记忆细胞)通过以剂量依赖的方式增加后者细胞的分化速率,局部地限制较少分化的效应器的生长。因此,在依赖于初始 PN 的延迟后,扩张被阻断并逆转,这解释了反应峰值对该数量的依赖性。我们提出了一个简洁的数学模型,能够再现免疫反应动力学。模型的定义部分是通过要求与现有的 BrdU 标记和羧基荧光素二乙酸琥珀酰亚胺酯(CFSE)稀释数据一致来实现的。校准后的模型正确地预测了作为 PN 函数的 FE。我们得出结论,尽管有待于明确地对涉及调节的假设细胞和分子进行实验表征,但生长和分化的反馈调节平衡可以解释 CD4 T 细胞对抗原刺激的反应动力学。

相似文献

7

引用本文的文献

5
Evolution of cancer stem cell lineage involving feedback regulation.涉及反馈调节的癌症干细胞谱系进化。
PLoS One. 2021 May 20;16(5):e0251481. doi: 10.1371/journal.pone.0251481. eCollection 2021.
7
Prediction of PD-L1 inhibition effects for HIV-infected individuals.预测 HIV 感染者对 PD-L1 抑制作用的影响。
PLoS Comput Biol. 2019 Nov 6;15(11):e1007401. doi: 10.1371/journal.pcbi.1007401. eCollection 2019 Nov.
8
How a well-adapting immune system remembers.适应性强的免疫系统如何记忆。
Proc Natl Acad Sci U S A. 2019 Apr 30;116(18):8815-8823. doi: 10.1073/pnas.1812810116. Epub 2019 Apr 15.
9
Regulation of T cell expansion by antigen presentation dynamics.抗原呈递动力学对 T 细胞扩增的调控。
Proc Natl Acad Sci U S A. 2019 Mar 26;116(13):5914-5919. doi: 10.1073/pnas.1812800116. Epub 2019 Mar 8.

本文引用的文献

3
The precursors of memory: models and controversies.记忆的前身:模型与争议
Nat Rev Immunol. 2009 Sep;9(9):662-8. doi: 10.1038/nri2619. Epub 2009 Aug 14.
10
High epitope expression levels increase competition between T cells.高表位表达水平会增加T细胞之间的竞争。
PLoS Comput Biol. 2006 Aug 18;2(8):e109. doi: 10.1371/journal.pcbi.0020109. Epub 2006 Jul 12.

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