EXODUS-enabled High-throughput Multi-omics Profiling of Extracellular Vesicles for Diagnosis of Preclinical Alzheimer's Disease

项目概要/摘要 阿尔茨海默病（AD）是最广泛的神经退行性疾病，并且已经引起了全球性的重大疾病。 对老龄化人口的健康关注。在不可逆脑损伤或精神损害之前早期诊断AD 下降对于及时干预、对症治疗和改善患者功能至关重要。积累 研究表明，神经元衍生的细胞外囊泡（EV）是AD的重要生物标志物。然而，在这方面， 研究人员在EV的有效隔离和准确分析方面面临重大挑战，限制了广泛的 EV在AD早期诊断或靶向治疗中研究和应用。WellSIM建议开发和 验证基于我们革命性EXODUS技术的高通量平台和工作流程， 从血浆和CSF中可重复分离和分析EV，具有无与伦比的通量、纯度、产率和 灵敏度基于hi-EXODUS-NGS和hi-EXODUS-MS整合分析， 将开发EV的分析以发现和检测用于AD诊断的EV衍生的多类生物标志物。

PROJECT SUMMARY / ABSTRACT Alzheimer's disease (AD) is the most widespread neurodegenerative disorder and has caused a major global health concern with the aging population. Early diagnosis of AD before irreversible brain damage or mental decline is critical for timely intervention, symptomatic treatment, and improved patient function. Accumulating studies indicate that neuron-derived extracellular vesicles (EVs) are important biomarkers for AD. However, researchers face significant challenges in the efficient isolation and accurate analysis of EVs, limiting the broad study and application of EVs in early diagnosis or targeted therapy of AD. WellSIM proposes to develop and validate a high-throughput platform and workflow based on our revolutionary EXODUS technique for reliable and reproducible isolation and analysis of EVs from plasma and CSF with unparalleled throughput, purity, yield, and sensitivity. Based on hi-EXODUS-NGS and hi-EXODUS-MS integrative analysis, transcriptomic and proteomic profiling of EVs will be developed to discover and detect EV-derived multi-class biomarkers for AD diagnosis.