Unraveling α-synuclein and amylin co-aggregation: pathological insights and biomarker development for Parkinson's disease
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Patients with diabetes have a higher morbidity in Parkinson's disease (PD) than others, but the mechanism underlying this link remains controversial.The co-aggregation of α-synuclein (α-syn) and amylin has been hypothesized as a key contributor.Methods: Molecular interaction analysis and co-immunoprecipitation were conducted to assess the feasibility of co-aggregation.We developed a tailored surface-based fluorescence distribution method to detect the co-aggregate in the subject's serum sample and brain-derived L1CAM-positive Extracellular Vesicles.Subjects include Health Controls (HC), PD patients and multiple system atrophy (MSA) patients.Results: The co-aggregates were detected in PD patient samples, in both serum and brain-derived extracellular vesicles (EVs).We demonstrated that the co-aggregate count could distinguish PD patients from healthy individuals.Our results revealed a positive correlation between co-aggregate count and Parkinson's disease scales or diabetes markers, highlighting the role of co-aggregation in promoting PD progression.The distribution of co-aggregates demonstrated diversity among different α-synucleinopathies; a high co-aggregates count was found in EVs and serum of PD patients, but not in the serum of MSA patients. Conclusion:The existence of α-syn-amylin co-aggregates was confirmed.Our findings suggest that α-syn-amylin co-aggregation may play a pivotal role in PD pathology, and have the potential as a biomarker.These results point to a potential path for early-diagnosis and therapeutic intervention.
Source: Theranostics
DOI: 10.7150/thno.112396
Authors: Yuhang Zhou, Minchao Lai, Bowen Shu, Benguo Wang, Dian Wang, Haoran Liu, Baowan Li, Jianhe Guo, Dongjie Hu, Mingyuan Li, Cheng Zhu, Muzhi Kang, Zhong Alan Li, Renzhi Wang, Yongjuan Zhao, Rocky S. Tuan, Keying Guo, Chenzhong Li, Cheng Jiang
Institutions: Chinese University of Hong Kong, Shenzhen, Shantou University, First Affiliated Hospital of Shantou University Medical College, Southern Medical University, Chinese University of Hong Kong, Shantou University Medical College, Harbin Institute of Technology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, Guangdong Technion-Israel Institute of Technology, Technion – Israel Institute of Technology, Monash University
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,671
Award: G2258647171
OpenAlex ID: W4411659143
