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阿尔茨海默病中的突触功能障碍。

Synaptic dysfunction in Alzheimer's disease.

机构信息

Department of Pharmacological Sciences and Centre of Excellence on Neurodegenerative Diseases, University of Milan, Via Balzaretti 9, 20133 Milan, Italy.

出版信息

Adv Exp Med Biol. 2012;970:573-601. doi: 10.1007/978-3-7091-0932-8_25.

Abstract

Generation of amyloid peptide (Aβ) is at the beginning of a cascade that leads to Alzheimer's disease (AD). Amyloid precursor protein (APP), as well as β- and γ-secretases, is the principal player involved in Aβ production, while α-secretase cleavage on APP prevents Aβ deposition. Recent studies suggested that soluble assembly states of Aβ peptides can cause cognitive problems by disrupting synaptic function in the absence of significant neurodegeneration. Therefore, current research investigates the relative importance of these various soluble Aβ assemblies in causing synaptic dysfunction and cognitive deficits. Several Aβ oligomers targets and cellular mechanisms responsible of Aβ-induced synaptic failure have been identified. The first and most important mechanism impugns a toxic gain of function for Aβ which results due to self-association and attainment of new structures capable of novel interactions that lead to impaired plasticity. Other scenarios predicate that Aβ has a normal physiological role. On the one hand, insufficient Aβ could lead to a loss of normal function, whereas excess Aβ may precipitate dysfunction. How this occurs and which the main target/s is/are for the synaptic action of Aβ remains to be fully understood and would certainly represent one of the main challenges to future AD research.

摘要

淀粉样肽(Aβ)的产生是导致阿尔茨海默病(AD)的级联反应的开始。淀粉样前体蛋白(APP)以及β-和γ-分泌酶是参与 Aβ 产生的主要参与者,而 APP 上的α-分泌酶切割可防止 Aβ 沉积。最近的研究表明,可溶性 Aβ 肽的组装状态可以通过在没有明显神经退行性变的情况下破坏突触功能而导致认知问题。因此,目前的研究调查了这些不同的可溶性 Aβ 组装体在引起突触功能障碍和认知缺陷方面的相对重要性。已经确定了几种 Aβ 寡聚物靶标和负责 Aβ 诱导的突触失败的细胞机制。第一个也是最重要的机制是 Aβ 的毒性获得功能,这是由于自组装和获得新结构的能力导致的,这些新结构能够进行新的相互作用,从而导致可塑性受损。其他情况则认为 Aβ 具有正常的生理功能。一方面,Aβ 不足可能导致正常功能丧失,而 Aβ 过量可能导致功能失调。这种情况是如何发生的,以及 Aβ 的突触作用的主要靶标是什么,仍有待充分理解,这肯定是未来 AD 研究的主要挑战之一。

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