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淀粉样纤维形成过程中“on-pathway”和“off-pathway”寡聚体的鉴定。

Identification of on- and off-pathway oligomers in amyloid fibril formation.

作者信息

Dear Alexander J, Meisl Georg, Šarić Anđela, Michaels Thomas C T, Kjaergaard Magnus, Linse Sara, Knowles Tuomas P J

机构信息

Department of Chemistry , University of Cambridge , Lensfield Road , Cambridge CB2 1EW , UK.

Department of Biochemistry and Structural Biology , Lund Univerisity , SE22100 Lund , Sweden . Email:

出版信息

Chem Sci. 2020 Jun 8;11(24):6236-6247. doi: 10.1039/c9sc06501f. eCollection 2020 Jun 28.

Abstract

The misfolding and aberrant aggregation of proteins into fibrillar structures is a key factor in some of the most prevalent human diseases, including diabetes and dementia. Low molecular weight oligomers are thought to be a central factor in the pathology of these diseases, as well as critical intermediates in the fibril formation process, and as such have received much recent attention. Moreover, on-pathway oligomeric intermediates are potential targets for therapeutic strategies aimed at interrupting the fibril formation process. However, a consistent framework for distinguishing on-pathway from off-pathway oligomers has hitherto been lacking and, in particular, no consensus definition of on- and off-pathway oligomers is available. In this paper, we argue that a non-binary definition of oligomers' contribution to fibril-forming pathways may be more informative and we suggest a quantitative framework, in which each oligomeric species is assigned a value between 0 and 1 describing its relative contribution to the formation of fibrils. First, we clarify the distinction between oligomers and fibrils, and then we use the formalism of reaction networks to develop a general definition for on-pathway oligomers, that yields meaningful classifications in the context of amyloid formation. By applying these concepts to Monte Carlo simulations of a minimal aggregating system, and by revisiting several previous studies of amyloid oligomers in light of our new framework, we demonstrate how to perform these classifications in practice. For each oligomeric species we obtain the degree to which it is on-pathway, highlighting the most effective pharmaceutical targets for the inhibition of amyloid fibril formation.

摘要

蛋白质错误折叠并异常聚集成纤维状结构是包括糖尿病和痴呆症在内的一些最常见人类疾病的关键因素。低分子量寡聚物被认为是这些疾病病理过程中的核心因素,也是纤维形成过程中的关键中间体,因此受到了近期的广泛关注。此外,沿途径的寡聚中间体是旨在中断纤维形成过程的治疗策略的潜在靶点。然而,迄今为止,一直缺乏一个区分沿途径寡聚物和非沿途径寡聚物的一致框架,特别是对于沿途径和非沿途径寡聚物没有达成共识的定义。在本文中,我们认为对寡聚物对纤维形成途径的贡献采用非二元定义可能更具信息量,并且我们提出了一个定量框架,其中为每个寡聚物种赋予一个介于0和1之间的值,描述其对纤维形成的相对贡献。首先,我们阐明了寡聚物和纤维之间的区别,然后我们使用反应网络的形式主义来为沿途径寡聚物制定一个通用定义,该定义在淀粉样蛋白形成的背景下产生有意义的分类。通过将这些概念应用于一个最小聚集系统的蒙特卡罗模拟,并根据我们的新框架重新审视先前关于淀粉样寡聚物的几项研究,我们展示了如何在实践中进行这些分类。对于每个寡聚物种,我们获得了它沿途径的程度,突出了抑制淀粉样纤维形成的最有效的药物靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9251/7480182/b509a8b853c4/c9sc06501f-f1.jpg

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