Structure-Based Selection of a Tetracycline Derivative for Advanced Biosensor Platforms Targeting Aggregated α-Synuclein in Parkinson’s Disease
Abstract
Parkinson's disease (PD) still lacks robust tools for early diagnosis, as current methods rely on motor symptoms that manifest after extensive neurodegeneration. Aggregated α-synuclein (α-Syn), a pathological hallmark of PD, represents a promising biomarker, yet its low abundance, polymorphic structure, and poor antibody recognition limit reliable detection. Notably, all toxic α-Syn species share a conserved cross-β motif. Building on previous findings that doxycycline binds this motif in α-Syn aggregates, we performed a structure-based selection of tetracycline derivatives to assess both binding affinity and immobilization on biosensor surfaces. Among these, 9-amino-4-dedimethylaminodoxycycline (9AD) showed improved selectivity for aggregated over monomeric α-Syn. Electrochemical and immunoassay validations confirmed its potential as a capture agent for α-Syn aggregates, supported by robust surface binding consistent with efficient immobilization. These results position 9AD as a promising biorecognition element for next-generation biosensors aimed at early PD diagnosis and pave the way for future validation in complex biological samples.
Fields of Study & Subjects
Parkinson's Disease Mechanisms and Treatments
Electrochemical sensors and biosensors
Biotin and Related Studies
Publication details
- Journal / source
- ACS Chemical Neuroscience
- Publisher
- American Chemical Society (ACS)
- Volume
- 17
- Issue
- 4
- Pages
- 681–688
- Publication date
- 30 January 2026
- Language
- EN