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淀粉样蛋白错误折叠、聚集与蛋白质沉积疾病的早期发病:原子力显微镜实验与计算分析的见解

Amyloid misfolding, aggregation, and the early onset of protein deposition diseases: insights from AFM experiments and computational analyses.

作者信息

Lyubchenko Yuri L

机构信息

Department of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, NE 68198, USA.

出版信息

AIMS Mol Sci. 2015;2(3):190-210. doi: 10.3934/molsci.2015.3.190. Epub 2015 May 17.

Abstract

The development of Alzheimer's disease is believed to be caused by the assembly of amyloid β proteins into aggregates and the formation of extracellular senile plaques. Similar models suggest that structural misfolding and aggregation of proteins are associated with the early onset of diseases such as Parkinson's, Huntington's, and other protein deposition diseases. Initially, the aggregates were structurally characterized by traditional techniques such as x-ray crystallography, NMR, electron microscopy, and AFM. However, data regarding the structures formed during the early stages of the aggregation process were unknown. Experimental models of protein deposition diseases have demonstrated that the small oligomeric species have significant neurotoxicity. This highlights the urgent need to discover the properties of these species, to enable the development of efficient diagnostic and therapeutic strategies. The oligomers exist transiently, making it impossible to use traditional structural techniques to study their characteristics. The recent implementation of single-molecule imaging and probing techniques that are capable of probing transient states have enabled the properties of these oligomers to be characterized. Additionally, powerful computational techniques capable of structurally analyzing oligomers at the atomic level advanced our understanding of the amyloid aggregation problem. This review outlines the progress in AFM experimental studies and computational analyses with a primary focus on understanding the very first stage of the aggregation process. Experimental approaches can aid in the development of novel sensitive diagnostic and preventive strategies for protein deposition diseases, and several examples of these approaches will be discussed.

摘要

阿尔茨海默病的发展被认为是由淀粉样β蛋白组装成聚集体以及细胞外老年斑的形成所导致的。类似的模型表明,蛋白质的结构错误折叠和聚集与帕金森病、亨廷顿病以及其他蛋白质沉积疾病的早期发病有关。最初,聚集体通过传统技术进行结构表征,如X射线晶体学、核磁共振、电子显微镜和原子力显微镜。然而,关于聚集过程早期形成的结构的数据尚不清楚。蛋白质沉积疾病的实验模型表明,小的寡聚体具有显著的神经毒性。这凸显了迫切需要发现这些寡聚体的特性,以便开发有效的诊断和治疗策略。寡聚体短暂存在,使得无法使用传统结构技术来研究其特征。最近能够探测瞬态状态的单分子成像和探测技术的应用,使得能够对这些寡聚体的特性进行表征。此外,能够在原子水平对寡聚体进行结构分析的强大计算技术,增进了我们对淀粉样蛋白聚集问题的理解。本综述概述了原子力显微镜实验研究和计算分析的进展,主要侧重于理解聚集过程的最初阶段。实验方法有助于开发针对蛋白质沉积疾病的新型灵敏诊断和预防策略,本文将讨论其中的几个例子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9608/5098429/2001ba47dfda/nihms797847f1.jpg

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