东南大学×南京大学合作Cell子刊：利用细胞外囊泡蛋白质组和脂质组，早期诊断帕金森病

Core Insights - Parkinson's disease (PD) is the fastest-growing neurodegenerative disease globally, primarily driven by population aging, with no current cure or reliable early diagnostic strategies [2] - Recent research focuses on identifying reliable and specific early diagnostic biomarkers for PD, particularly through minimally invasive biological fluids [2][5] - Extracellular vesicles (EVs) are emerging as promising biomarkers for neurodegenerative diseases, containing proteins and lipids that have strong potential for early PD detection [2][5] Research Findings - A study published by a team from Southeast University and Nanjing University Medical School indicates that proteins and lipids derived from EVs have potential for early PD diagnosis and provide insights into treatment-related mechanisms [3][6] - The study utilized a proprietary method called EVlent to analyze the proteome and lipidome of plasma EVs across different life stages, identifying biomarkers that can predict the prodromal phase of PD and differentiate it from multiple system atrophy (MSA) [5][6] - Functional analysis revealed protein-lipid interactions related to PD pathophysiology, including the regulation of lipid-mediated APOE signaling [5][6] - A machine learning model integrating the identified EV proteins achieved robust classification across different age groups, highlighting the diagnostic potential of EV-derived molecules for early PD detection [5][6]