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评估Ih通道在突触传递和苔藓纤维长时程增强中的作用。

Assessing the role of Ih channels in synaptic transmission and mossy fiber LTP.

作者信息

Chevaleyre Vivien, Castillo Pablo E

机构信息

Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA.

出版信息

Proc Natl Acad Sci U S A. 2002 Jul 9;99(14):9538-43. doi: 10.1073/pnas.142213199. Epub 2002 Jul 1.

Abstract

Hyperpolarization-activated nonselective cation channels (Ih channels) play an important role in the control of membrane excitability and rhythmic neuronal activity. The functional relevance of presynaptic Ih channels in regulating synaptic function, however, is not well established. Recently, it has been proposed [Mellor, J., Nicoll, R. A. & Schmitz, D. (2002) Science 295, 143-147] that presynaptic Ih channels are necessary for hippocampal mossy fiber long-term potentiation (LTP). This observation challenges an alternative model that suggests presynaptic forms of LTP are caused by a direct modification of the transmitter release machinery. Here, we assess the role of Ih in hippocampal mossy fiber LTP as well as cerebellar parallel fiber LTP, forms of potentiation that share common mechanisms. Our results show that after Ih blockade neither mossy fiber LTP nor parallel fiber LTP are affected. Furthermore, Ih does not significantly modify basal excitatory synaptic transmission in the hippocampus, whereas the organic Ih blockers ZD7288 and DK-AH 269 induce a large Ih-independent depression of synaptic transmission. In summary, our results indicate that Ih-mediated persistent changes in presynaptic excitability do not underlie presynaptic forms of LTP.

摘要

超极化激活的非选择性阳离子通道(Ih通道)在控制膜兴奋性和神经元节律性活动中发挥着重要作用。然而,突触前Ih通道在调节突触功能方面的功能相关性尚未完全明确。最近,有研究提出[梅勒,J.,尼科尔,R. A. & 施密茨,D.(2002年)《科学》295卷,第143 - 147页],突触前Ih通道是海马苔藓纤维长时程增强(LTP)所必需的。这一观察结果对另一种模型提出了挑战,该模型认为突触前形式的LTP是由递质释放机制的直接修饰引起的。在这里,我们评估Ih在海马苔藓纤维LTP以及小脑平行纤维LTP中的作用,这两种形式的增强具有共同机制。我们的结果表明,在阻断Ih后,苔藓纤维LTP和平行纤维LTP均未受到影响。此外,Ih对海马中的基础兴奋性突触传递没有显著影响,而有机Ih阻滞剂ZD7288和DK - AH 269会诱导一种与Ih无关的突触传递大幅抑制。总之,我们的结果表明,Ih介导的突触前兴奋性的持续变化并非突触前形式LTP的基础。

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