journal article·2026-03Open access

Digital Dual‐Dimensional α‐Synuclein Aggregate Decoding Sensor for Parkinson's Disease Diagnostics

Yongfeng Lu, Yanling Liu, Caihong Liu, Yuhang Zhou, Yanbin Wan, Yifan Wang, Lianliang Li, Xinyuan Luo, Sisi Jing, Mingyuan Li, Shangfu Li, Ruihuan Xu, Yuanhui Zheng, Chen‐zhong Li, Zheng Zhao, Cheng Jiang, Ben Zhong Tang

Advanced Functional Materials· Volume 36· Issue 22

Abstract

Abstract α‐Synuclein (α‐syn) aggregation is a hallmark of Parkinson's disease (PD) pathology. In blood, α‐syn aggregates (α‐syn Agg) exist either freely (free‐α‐syn Agg) or bound to neuron‐derived extracellular vesicles via L1CAM (L1EV‐α‐syn Agg). However, the lack of sensitive tools to distinguish these two forms hampers PD diagnostics. Here, a dual‐channel biosensor that simultaneously detects free‐α‐syn and L1EV‐α‐syn Agg in serum using ultra‐bright optical signals is introduced. The biosensor employs specific antibody pairs on magnetic beads and aggregation‐induced emission (AIE) fluorophores to generate distinct orange‐red and yellow‐green fluorescence for each α‐syn Agg type, forming stable immunosandwich complexes. It performs robustly in both liquid‐phase and solid‐phase assays. With AI‐assisted image recognition, it enables rapid and accurate detection of α‐syn Agg based on dual‐color signatures. This strategy allows for effective differentiation of PD from healthy controls in clinical samples, achieving an AUC of 0.98 (specificity = 0.96, sensitivity = 0.90). By integrating dual dimensions of α‐syn pathology, this method offers a promising tool for precise, non‐invasive PD diagnosis, and sets the foundation for future clinical translation in neurodegenerative biomarker detection.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Parkinson's Disease Mechanisms and Treatments · Neurological disorders and treatments · Carbon and Quantum Dots Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Medicine The Chinese University of Hong Kong Shenzhen 518172 China

Guangdong Basic Research Center of Excellence for Aggregate Science School of Science and Engineering The Chinese University of Hong Kong Shenzhen Guangdong 518172 China

School of Science and Engineering Shenzhen Institute of Aggregate Science and Technology The Chinese University of Hong Kong Shenzhen Guangdong 518172 China

Department of Medical Laboratory Longgang District People's Hospital Shenzhen Guangdong 518100 China

College of Chemistry Fuzhou University Fuzhou 350116 China

Funding

Shenzhen Science and Technology Innovation Program

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