Li Xiang, Chen Jie, Yang Yang, Cai Hongwei, Ao Zheng, Xing Yantao, Li Kangle, Yang Kaiyuan, Guan Weihua, Friend James, Lee Luke P, Wang Nian, Guo Feng
Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, 47405, USA.
Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Microsyst Nanoeng. 2025 Apr 17;11(1):65. doi: 10.1038/s41378-025-00916-4.
Extracellular vesicles (EVs) show potential for early diagnosis of Alzheimer's disease (AD) and monitoring of its progression. However, EV-based AD diagnosis faces challenges due to the small size and low abundance of biomarkers. Here, we report a fully integrated organic electrochemical transistor (OECT) sensor for ultrafast, accurate, and convenient point-of-care testing (POCT) of serum EVs from AD patients. By utilizing acoustoelectric enrichment, the EVs can be quickly propelled, significantly enriched, and specifically bound to the OECT detection area, achieving a gain of over 280 times response in 30 s. The integrated POCT sensor can detect serum EVs from AD patients with a limit of detection as low as 500 EV particles/mL and a reduced detection time of just two minutes. Furthermore, the integrated POCT sensors were used to monitor AD progression in an AD mouse model by testing the mouse Aβ EVs at different time courses (up to 18 months) and compared with the Aβ accumulation using high-resolution magnetic resonance imaging (MRI). This innovative technology has the potential for accurate and rapid diagnosis of Alzheimer's and other neurodegenerative diseases, and monitoring of disease progression and treatment response.
细胞外囊泡（EVs）在阿尔茨海默病（AD）的早期诊断及其病情进展监测方面显示出潜力。然而，基于EVs的AD诊断面临挑战，因为生物标志物的尺寸小且丰度低。在此，我们报告了一种完全集成的有机电化学晶体管（OECT）传感器，用于对AD患者的血清EVs进行超快、准确且便捷的即时检测（POCT）。通过利用声电富集，EVs能够被快速推进、显著富集并特异性结合到OECT检测区域，在30秒内实现超过280倍的响应增益。该集成式POCT传感器能够检测AD患者的血清EVs，检测限低至500个EV颗粒/毫升，检测时间缩短至仅两分钟。此外，通过在不同时间点（长达18个月）检测小鼠Aβ EVs，并与使用高分辨率磁共振成像（MRI）的Aβ积累情况进行比较，集成式POCT传感器被用于监测AD小鼠模型中的AD进展。这项创新技术具有准确快速诊断阿尔茨海默病及其他神经退行性疾病，以及监测疾病进展和治疗反应的潜力。
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