Clinically Accurate Diagnosis of Alzheimer's Disease via Single‐Molecule Bioelectronic Label‐Free Profiling of Multiple Blood Extracellular Vesicle Biomarkers

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with no cure, making early diagnosis critical for mitigating its impact. Blood extracellular vesicles (EVs) hold promises as biomarkers for AD diagnosis, but current detection technologies lack the sensitivity and multiplexing capabilities needed for efficient diagnosis. Here, a novel label-free bioelectronic platform is presented based on an organic electrochemical transistor (OECT) integrated with a microelectrode array (MEA) for ultrasensitive detection of AD biomarkers in blood EVs, including amyloid-β (Aβ<sub>1-40</sub> and Aβ<sub>1-42</sub>), total tau (t-tau), and phosphorylated tau (p-tau<sup>181</sup>). This platform achieves a detection limit as low as the zeptomolar (zM) level, enabling the detection of single-molecule targets. It provides a comprehensive multiplexed diagnostic model capable of delivering results within 20 min. Notably, the systematic integration of multiple AD biomarkers in blood EVs is demonstrated to significantly enhance diagnostic accuracy. This study presents a novel EVs-based multiplexed diagnostic model for AD, correctly classifying all clinical samples (n = 40), far exceeding the accuracy of a single biomarker. With its high sensitivity and rapid turnaround, this platform enables reliable AD diagnosis and holds the potential for tracking disease progression, offering a transformative tool to combat the societal burden of AD.

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Publication Details

Journal
Advanced Materials
Published
2025-06-27
DOI
https://doi.org/10.1002/adma.202505262
Citations
14
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
11.28

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article

Clinically Accurate Diagnosis of Alzheimer's Disease via Single‐Molecule Bioelectronic Label‐Free Profiling of Multiple Blood Extracellular Vesicle Biomarkers

Keying Guo, Yue Jia, Jinguang Yang, Zheng Liang et al.
14 citations
Advanced Materials
Extracellular vesicles in disease
11.28
article

Clinically Accurate Diagnosis of Alzheimer's Disease via Single‐Molecule Bioelectronic Label‐Free Profiling of Multiple Blood Extracellular Vesicle Biomarkers

Keying Guo, Yue Jia, Jinguang Yang, Zheng Liang, Mingxi Chen, Minchao Lai, Yang Luo, Xiaohong Jiang, Shan Liu, Dian Wang, Shiyao Bai, Jintao Zheng, Chenzhong Li, Jiacheng Yu, Haoyang Yan, Chuyan Wu, Runzhi Zhou, Cheng Jiang
article en
14 citations

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with no cure, making early diagnosis critical for mitigating its impact. Blood extracellular vesicles (EVs) hold promises as biomarkers for AD diagnosis, but current detection technologies lack the sensitivity and multiplexing capabilities needed for efficient diagnosis. Here, a novel label-free bioelectronic platform is presented based on an organic electrochemical transistor (OECT) integrated with a microelectrode array (MEA) for ultrasensitive detection of AD biomarkers in blood EVs, including amyloid-β (Aβ<sub>1-40</sub> and Aβ<sub>1-42</sub>), total tau (t-tau), and phosphorylated tau (p-tau<sup>181</sup>). This platform achieves a detection limit as low as the zeptomolar (zM) level, enabling the detection of single-molecule targets. It provides a comprehensive multiplexed diagnostic model capable of delivering results within 20 min. Notably, the systematic integration of multiple AD biomarkers in blood EVs is demonstrated to significantly enhance diagnostic accuracy. This study presents a novel EVs-based multiplexed diagnostic model for AD, correctly classifying all clinical samples (n = 40), far exceeding the accuracy of a single biomarker. With its high sensitivity and rapid turnaround, this platform enables reliable AD diagnosis and holds the potential for tracking disease progression, offering a transformative tool to combat the societal burden of AD.

Advanced MaterialsVol. 37(37)
University of Electronic Science and Technology of China (CN), Chongqing University (CN), Technion – Israel Institute of Technology (IL), Shantou University (CN), Tobacco Research Institute (CN), First Affiliated Hospital of Shantou University Medical College (CN), Chinese University of Hong Kong, Shenzhen (CN), Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN), Shantou University Medical College (CN), Chinese Academy of Agricultural Sciences (CN), Guangdong Technion-Israel Institute of Technology (CN), First People's Hospital of Chongqing (CN), Monash University (AU)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 1%
Extracellular vesicles in disease
11.28
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