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以抑制α-突触核蛋白聚集过程中的寡聚体形成作为选择参数来筛选小分子。

Screening of small molecules using the inhibition of oligomer formation in α-synuclein aggregation as a selection parameter.

作者信息

Staats Roxine, Michaels Thomas C T, Flagmeier Patrick, Chia Sean, Horne Robert I, Habchi Johnny, Linse Sara, Knowles Tuomas P J, Dobson Christopher M, Vendruscolo Michele

机构信息

Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.

Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.

出版信息

Commun Chem. 2020 Dec 18;3(1):191. doi: 10.1038/s42004-020-00412-y.

Abstract

The aggregation of α-synuclein is a central event in Parkinsons's disease and related synucleinopathies. Since pharmacologically targeting this process, however, has not yet resulted in approved disease-modifying treatments, there is an unmet need of developing novel methods of drug discovery. In this context, the use of chemical kinetics has recently enabled accurate quantifications of the microscopic steps leading to the proliferation of protein misfolded oligomers. As these species are highly neurotoxic, effective therapeutic strategies may be aimed at reducing their numbers. Here, we exploit this quantitative approach to develop a screening strategy that uses the reactive flux toward α-synuclein oligomers as a selection parameter. Using this approach, we evaluate the efficacy of a library of flavone derivatives, identifying apigenin as a compound that simultaneously delays and reduces the formation of α-synuclein oligomers. These results demonstrate a compound selection strategy based on the inhibition of the formation of α-synuclein oligomers, which may be key in identifying small molecules in drug discovery pipelines for diseases associated with α-synuclein aggregation.

摘要

α-突触核蛋白的聚集是帕金森病及相关突触核蛋白病的核心事件。然而,由于针对这一过程进行药物靶向治疗尚未产生获批的疾病修饰疗法,因此迫切需要开发新的药物发现方法。在此背景下,化学动力学的应用最近使得对导致蛋白质错误折叠寡聚体增殖的微观步骤进行精确量化成为可能。由于这些物种具有高度神经毒性,有效的治疗策略可能旨在减少它们的数量。在这里,我们利用这种定量方法开发了一种筛选策略,该策略将朝向α-突触核蛋白寡聚体的反应通量用作选择参数。使用这种方法,我们评估了黄酮衍生物库的功效,确定芹菜素是一种既能延迟又能减少α-突触核蛋白寡聚体形成的化合物。这些结果证明了一种基于抑制α-突触核蛋白寡聚体形成的化合物选择策略,这可能是在与α-突触核蛋白聚集相关疾病的药物发现流程中识别小分子的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fce0/9814678/e06841080581/42004_2020_412_Fig1_HTML.jpg

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