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帕金森病患者血液衍生的细胞外囊泡的特征。

Portrait of blood-derived extracellular vesicles in patients with Parkinson's disease.

机构信息

Centre de recherche du CHU de Québec, Québec, QC, Canada.

Département de mathématiques et génie industriel, École Polytechnique de Montréal, Montréal, QC, Canada.

出版信息

Neurobiol Dis. 2019 Apr;124:163-175. doi: 10.1016/j.nbd.2018.11.002. Epub 2018 Nov 5.

DOI:10.1016/j.nbd.2018.11.002
PMID:30408591
Abstract

The production of extracellular vesicles (EV) is a ubiquitous feature of eukaryotic cells but pathological events can affect their formation and constituents. We sought to characterize the nature, profile and protein signature of EV in the plasma of Parkinson's disease (PD) patients and how they correlate to clinical measures of the disease. EV were initially collected from cohorts of PD (n = 60; Controls, n = 37) and Huntington's disease (HD) patients (Pre-manifest, n = 11; manifest, n = 52; Controls, n = 55) - for comparative purposes in individuals with another chronic neurodegenerative condition - and exhaustively analyzed using flow cytometry, electron microscopy and proteomics. We then collected 42 samples from an additional independent cohort of PD patients to confirm our initial results. Through a series of iterative steps, we optimized an approach for defining the EV signature in PD. We found that the number of EV derived specifically from erythrocytes segregated with UPDRS scores corresponding to different disease stages. Proteomic analysis further revealed that there is a specific signature of proteins that could reliably differentiate control subjects from mild and moderate PD patients. Taken together, we have developed/identified an EV blood-based assay that has the potential to be used as a biomarker for PD.

摘要

细胞外囊泡 (EV) 的产生是真核细胞普遍存在的特征,但病理事件会影响它们的形成和组成。我们试图描述帕金森病 (PD) 患者血浆中 EV 的性质、特征和蛋白质特征,以及它们与疾病临床指标的相关性。最初从 PD (n=60; 对照组 n=37) 和亨廷顿病 (HD) 患者队列 (前驱期 n=11; 显性期 n=52; 对照组 n=55) 中收集 EV - 用于在另一种慢性神经退行性疾病患者中进行比较目的 - 并使用流式细胞术、电子显微镜和蛋白质组学进行了详尽分析。然后,我们从另一个独立的 PD 患者队列中收集了 42 个样本,以确认我们的初步结果。通过一系列迭代步骤,我们优化了一种用于定义 PD 中 EV 特征的方法。我们发现,专门源自红细胞的 EV 数量与 UPDRS 评分相对应,这些评分对应于不同的疾病阶段。蛋白质组学分析进一步表明,存在一种可以可靠地区分对照组与轻度和中度 PD 患者的特定蛋白质特征。总之,我们已经开发/确定了一种基于 EV 的血液检测方法,它有可能成为 PD 的生物标志物。

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