Suppr超能文献

中枢神经系统中的神经胶质细胞与神经元信号传导

Glial neuronal signaling in the central nervous system.

作者信息

Hansson Elisabeth, Rönnbäck Lars

机构信息

Institute of Clinical Neuroscience, Göteborg University, Medicinaregatan 5, P.O. Box 420, SE 405 30 Göteborg, Sweden.

出版信息

FASEB J. 2003 Mar;17(3):341-8. doi: 10.1096/fj.02-0429rev.

Abstract

Glial cells are known to interact extensively with neuronal elements in the brain, influencing their activity. Astrocytes associated with synapses integrate neuronal inputs and release transmitters that modulate synaptic sensitivity. Glial cells participate in formation and rebuilding of synapses and play a prominent role in protection and repair of nervous tissue after damage. For glial cells to take an active part in plastic alterations under physiological conditions and pathological disturbances, extensive specific signaling, both within single cells and between cells, is required. In recent years, intensive research has led to our first insight into this signaling. We know there are active connections between astrocytes in the form of networks promoting Ca2+ and ATP signaling; we also know there is intense signaling between astrocytes, microglia, oligodendrocytes, and neurons, with an array of molecules acting as signaling substances. The cells must be functionally integrated to facilitate the enormous dynamics of and capacity for reconstruction within the nervous system. In this paper, we summarize some basic data on glial neuronal signaling to provide insight into synaptic modulation and reconstruction in physiology and protection and repair after damage.

摘要

已知神经胶质细胞与大脑中的神经元成分广泛相互作用,影响其活动。与突触相关的星形胶质细胞整合神经元输入并释放调节突触敏感性的递质。神经胶质细胞参与突触的形成和重建,并在损伤后神经组织的保护和修复中发挥重要作用。为了使神经胶质细胞在生理条件和病理干扰下积极参与可塑性改变,单细胞内和细胞间都需要广泛的特定信号传导。近年来,深入的研究使我们首次了解了这种信号传导。我们知道星形胶质细胞之间存在以促进Ca2+和ATP信号传导的网络形式的活跃连接;我们还知道星形胶质细胞、小胶质细胞、少突胶质细胞和神经元之间存在强烈的信号传导,一系列分子充当信号物质。这些细胞必须在功能上整合,以促进神经系统内巨大的动态变化和重建能力。在本文中,我们总结了一些关于神经胶质-神经元信号传导的基本数据,以深入了解生理过程中的突触调节和重建以及损伤后的保护和修复。

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