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探究生发中心关闭的机制。

Investigating the Mechanism of Germinal Center Shutdown.

机构信息

Department of Systems Immunology, Braunschweig Integrated Centre of Systems Biology, Helmholtz Centre for Infection Research, Braunschweig, Germany.

Institute for Biochemistry, Biotechnology and Bioinformatics, Technische Universität Braunschweig, Braunschweig, Germany.

出版信息

Front Immunol. 2022 Jul 14;13:922318. doi: 10.3389/fimmu.2022.922318. eCollection 2022.

Abstract

Germinal centers (GCs) are transient structures where affinity maturation of B cells gives rise to high affinity plasma and memory cells. The mechanism of GC shutdown is unclear, despite being an important phenomenon maintaining immune homeostasis. In this study, we used a mathematical model to identify mechanisms that can independently promote contraction of GCs leading to shutdown. We show that GC shutdown can be promoted by antigen consumption by B cells, antigen masking by soluble antibodies, alterations in follicular dendritic cell (FDC) network area, modulation of immune complex cycling rate constants, alterations in T follicular helper signaling, increased terminal differentiation and reduced B cell division capacity. Proposed mechanisms promoted GC contraction by ultimately decreasing the number of B cell divisions and recycling cells. Based on the in-silico predictions, we suggest a combination of experiments that can be potentially employed by future studies to unravel the mechanistic basis of GC shutdown such as measurements of the density of pMHC presentation of B cells, FDC network size per B cell, fraction of cells expressing differentiation markers. We also show that the identified mechanisms differentially affect the efficiency of GC reaction estimated based on the quantity and quality of resulting antibodies.

摘要

生发中心(GCs)是一种短暂存在的结构,其中 B 细胞的亲和力成熟会产生高亲和力的浆细胞和记忆细胞。尽管 GC 关闭是维持免疫稳态的重要现象,但 GC 关闭的机制尚不清楚。在这项研究中,我们使用数学模型来确定可以独立促进 GC 收缩导致关闭的机制。我们表明,通过 B 细胞消耗抗原、可溶性抗体掩蔽抗原、滤泡树突状细胞(FDC)网络面积的改变、免疫复合物循环速率常数的调节、T 滤泡辅助信号的改变、终末分化的增加和 B 细胞分裂能力的降低,可以促进 GC 关闭。提出的机制通过最终减少 B 细胞分裂和循环细胞的数量来促进 GC 收缩。基于计算机预测,我们建议进行一系列实验,未来的研究可以利用这些实验来揭示 GC 关闭的机制基础,例如测量 B 细胞上 pMHC 呈递的密度、每个 B 细胞的 FDC 网络大小、表达分化标志物的细胞分数。我们还表明,所确定的机制会根据产生的抗体的数量和质量差异影响 GC 反应的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e1d2/9329532/d1f3b678a582/fimmu-13-922318-g001.jpg

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