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炎症细胞因子功能中的信号整合、串扰机制及网络

Signal integration, crosstalk mechanisms and networks in the function of inflammatory cytokines.

作者信息

Schmitz M Lienhard, Weber Axel, Roxlau Thomas, Gaestel Matthias, Kracht Michael

机构信息

Institute of Biochemistry, Justus-Liebig-University Giessen, Giessen, Germany.

出版信息

Biochim Biophys Acta. 2011 Dec;1813(12):2165-75. doi: 10.1016/j.bbamcr.2011.06.019. Epub 2011 Jul 20.

Abstract

Infection or cell damage triggers the release of pro-inflammatory cytokines such as interleukin(IL)-1α or β and tumor necrosis factor (TNF)α which are key mediators of the host immune response. Following their identification and the elucidation of central signaling pathways, recent results show a highly complex crosstalk between various cytokines and their signaling effectors. The molecular mechanisms controlling signaling thresholds, signal integration and the function of feed-forward and feedback loops are currently revealed by combining methods from biochemistry, genetics and in silico analysis. Increasing evidence is mounted that defects in information processing circuits or their components can be causative for chronic or overshooting inflammation. As progress in biosciences has always benefitted from the use of well-studied model systems, research on inflammatory cytokines may function as a paradigm to reveal general principles of signal integration, crosstalk mechanisms and signaling networks.

摘要

感染或细胞损伤会触发促炎细胞因子的释放,如白细胞介素(IL)-1α或β以及肿瘤坏死因子(TNF)α,它们是宿主免疫反应的关键介质。在它们被识别以及中心信号通路被阐明之后,最近的结果显示了各种细胞因子与其信号效应器之间存在高度复杂的相互作用。目前,通过结合生物化学、遗传学和计算机分析方法,揭示了控制信号阈值、信号整合以及前馈和反馈回路功能的分子机制。越来越多的证据表明,信息处理电路或其组件中的缺陷可能是慢性炎症或过度炎症的病因。由于生物科学的进展一直受益于使用经过充分研究的模型系统,对炎性细胞因子的研究可能成为揭示信号整合、相互作用机制和信号网络一般原则的范例。

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