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在帕金森病患者中进行全局原位结构蛋白质组分析,以鉴定新的一类生物标志物。

Global, in situ analysis of the structural proteome in individuals with Parkinson's disease to identify a new class of biomarker.

机构信息

Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Zurich, Switzerland.

Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany.

出版信息

Nat Struct Mol Biol. 2022 Oct;29(10):978-989. doi: 10.1038/s41594-022-00837-0. Epub 2022 Oct 12.

Abstract

Parkinson's disease (PD) is a prevalent neurodegenerative disease for which robust biomarkers are needed. Because protein structure reflects function, we tested whether global, in situ analysis of protein structural changes provides insight into PD pathophysiology and could inform a new concept of structural disease biomarkers. Using limited proteolysis-mass spectrometry (LiP-MS), we identified 76 structurally altered proteins in cerebrospinal fluid (CSF) of individuals with PD relative to healthy donors. These proteins were enriched in processes misregulated in PD, and some proteins also showed structural changes in PD brain samples. CSF protein structural information outperformed abundance information in discriminating between healthy participants and those with PD and improved the discriminatory performance of CSF measures of the hallmark PD protein α-synuclein. We also present the first analysis of inter-individual variability of a structural proteome in healthy individuals, identifying biophysical features of variable protein regions. Although independent validation is needed, our data suggest that global analyses of the human structural proteome will guide the development of novel structural biomarkers of disease and enable hypothesis generation about underlying disease processes.

摘要

帕金森病(PD)是一种常见的神经退行性疾病,需要强有力的生物标志物。由于蛋白质结构反映了其功能,我们测试了全局、原位分析蛋白质结构变化是否能深入了解 PD 的病理生理学,并为新的结构性疾病生物标志物概念提供信息。使用有限蛋白酶解-质谱(LiP-MS),我们在 PD 患者的脑脊液(CSF)中相对于健康供体鉴定到了 76 种结构改变的蛋白质。这些蛋白质在 PD 中被失调的过程中富集,一些蛋白质在 PD 脑样本中也显示出结构变化。CSF 蛋白质结构信息在区分健康参与者和 PD 患者方面优于丰度信息,并提高了 CSF 中标志性 PD 蛋白 α-突触核蛋白测量值的区分性能。我们还首次分析了健康个体中结构蛋白质组的个体间变异性,确定了可变蛋白质区域的生物物理特征。尽管需要独立验证,但我们的数据表明,对人类结构蛋白质组的全面分析将指导新型疾病结构生物标志物的开发,并能够生成关于潜在疾病过程的假设。

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