Parkinson's disease (PD) is a chronic neurodegenerative disorder, characterized by considerable clinical heterogeneity. Extracellular vesicles (EVs) were proposed as new biomarkers for PD because of their role as vehicles of multiple PD related molecules, but technical limitations exist in their detection and characterization in a clinical environment. We propose herein a Raman based protocol for the label-free analysis of circulating EVs as diagnostic and predictive tool for PD. After purification from serum of PD patients and healthy subjects, EVs were analyzed by Raman spectroscopy demonstrating the feasibility and reproducibility of the proposed biophotonic approach, its moderate accuracy in distinguishing PD patients from controls by their EV profile and the correlation between Raman data and clinical scales. Once validated, the Raman spectroscopy of circulating EVs could represent a reliable, automatable and sensitive method for the stratification of PD patients and for the evaluation of the effectiveness of rehabilitation and pharmacological treatments.

中文翻译：

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循环细胞外囊泡的拉曼谱分析，用于帕金森氏病患者的分层。

帕金森氏病（PD）是一种慢性神经退行性疾病，其特征是临床上的异质性很高。由于细胞外囊泡作为多种PD相关分子的媒介物的作用，人们提出将细胞外囊泡（EVs）用作PD的新生物标记，但是在临床环境中对其检测和表征存在技术限制。我们在此提出一种基于拉曼的协议，用于循环电动车的无标记分析，作为PD的诊断和预测工具。从PD患者和健康受试者的血清中纯化后，通过拉曼光谱分析电动汽车，证明了所提出的生物光子方法的可行性和可重复性，其通过EV谱将PD患者与对照区分开来的中等准确性以及拉曼数据与临床量表之间的相关性。一经验证，