Structure-Based Selection of a Tetracycline Derivative for Advanced Biosensor Platforms Targeting Aggregated α-Synuclein in Parkinson’s Disease

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.

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Publication Details

Journal
ACS Chemical Neuroscience
Published
2026-01-30
DOI
https://doi.org/10.1021/acschemneuro.5c00547
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
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article

Structure-Based Selection of a Tetracycline Derivative for Advanced Biosensor Platforms Targeting Aggregated α-Synuclein in Parkinson’s Disease

Florencia González‐Lizárraga, Belén Machín, Verónica E. Manzano, Rosana Nieves Chehín et al.
ACS Chemical Neuroscience
Parkinson's Disease Mechanisms and Treatments
article

Structure-Based Selection of a Tetracycline Derivative for Advanced Biosensor Platforms Targeting Aggregated α-Synuclein in Parkinson’s Disease

Florencia González‐Lizárraga, Belén Machín, Verónica E. Manzano, Rosana Nieves Chehín, César L. Ávila, Rossana E. Madrid, Agustín O. Pernicone, Eva M M Velez, Oscar Varela, Silvana Soliz Santander, Esteban Vera Pingitore
article en

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.

ACS Chemical NeuroscienceVol. 17(4)
National University of Tucumán (AR), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Instituto Superior de Investigaciones Biológicas (AR), Centro Científico Tecnológico - Tucumán (AR), Fundación Ciencias Exactas y Naturales (AR)
Openalex Percentile: Top 73%
Parkinson's Disease Mechanisms and Treatments
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Structure-Based Selection of a Tetracycline Derivative for Advanced Biosensor Platforms Targeting Aggregated α-Synuclein in Parkinson’s Disease — Florencia González‐Lizárraga, Belén Machín, et al. · ACS Chemical Neuroscience (2026) | TGRS Research Map | TGRS