Electrochemical biosensor for early Alzheimer's detection and patient risk stratification using plasma exosomes

生物标志物 微泡 危险分层 生物传感器 分析物 等离子体 免疫分析 诊断生物标志物 外体 纳米技术 化学 生物标志物发现 分离(微生物学) 人血浆 细胞外小泡 医学 计算生物学 血浆浓度 生物信息学 检出限 分子诊断学 内科学 药理学 疾病
作者
Rosanna Rossi,Amanda Cano,Arnau Pallarès-Rusiñol,Agustı́n Ruiz,Mercè Martı́,María Isabel Pividori
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:292: 118061-118061
标识
DOI:10.1016/j.bios.2025.118061
摘要

Alzheimer's Disease (AD) is the leading cause of dementia, accounting for 60-70 % of cases worldwide. Early diagnosis remains challenging due to the limitations of current diagnostic tools, which are costly, invasive, and suffer from low patient compliance. Blood-based biomarkers, particularly plasma brain-derived exosomes (BDEs), have emerged as a promising alternative since they carry AD-related molecules and can be isolated non-invasively. In this study, an immunoassay was developed to isolate BDEs using magnetic particles functionalized with an anti-neuroligin-3 (NLGN3) antibody, while the AD-related marker β-secretase (BACE-1) was detected on the captured exosomes. This is the first report combining NLGN3 for for the isolation of BDEs with BACE-1 as a detection target, establishing a novel biomarker panel for AD diagnostics. The assay was evaluated across three readout platforms-optical, chemiluminescent, and electrochemical-with detection limits in the range of 104-105 exosomes μL-1. Among them, the portable electrochemical platform achieved the improved LOD (1.51 × 104 exosomes μL-1, R2 = 0.9829). Plasma samples from patients with AD, mild cognitive impairment (MCI), and healthy controls were analyzed, revealing differences in exosomal BACE-1 levels (p < 0.1, t-test). These findings demonstrate, for the first time, an in vitro diagnostic approach based on a portable electrochemical biosensor for early AD detection in plasma through a novel exosomal biomarker panel. Compared to conventional diagnostics, this biosensor offers a non-invasive and cost-effective solution for AD screening, with the potential to support earlier intervention and patient risk stratification.
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