Collective methodological emission assay of Thioflavin T for qualitative α-synuclein fibril structures discrimination

α-Synuclein aggregation into distinct fibrillar structures is increasingly recognized as a key determinant of Parkinson's disease heterogeneity, yet rapid discrimination of these morpho-types remains challenging. Here, we present a multi-parametric emission assay, supported by machine-learning, to qualitatively distinguish three α-synuclein fibril samples, containing different fibril structures, which were generated under controlled stressors (temperature, glass-bead surface area, quaking). Atomic force microscopy (AFM) revealed that type I fibrils display cross-sectional height variations, type II form long, flat protofilaments and type III comprise thin fibrils emerging from 40 to 60 nm aggregate clumps. Cryogenic electron microscopy (cryo-EM) confirmed the morphological diversity by showing that each sample contained both single-stranded and double-stranded fibril structures. Time-resolved emission of Thioflavin T (ThT) embedded into α-synuclein fibrils was analyzed using multiexponential and lifetime distribution models. The latter approach via reconstruction of decay lifetime distributions using maximum entropy method demonstrated possibility of fibrils discrimination based on fluorescence decay of ThT and allowed to link the fibrils morphology to emission decay kinetics of the dye. Fabry-Perot cavity lasing was used to confirm samples types discrimination. Automated image analysis of lasing frames using K-nearest neighbors model showed 88 % accuracy in samples type recognition, particularly powerful in recognition of quenched-states of ThT being at play in type III fibrils. The results were compared to fibrils, which were generated using artificial cerebrospinal fluid - a medium that yields a single secondary structure of aggregate filaments. These complementary methodological analyses represent a sensitive platform for α-synuclein fibril structures discrimination, with application in early diagnostic assay.

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Journal
International Journal of Biological Macromolecules
Published
2025-11-13
DOI
https://doi.org/10.1016/j.ijbiomac.2025.148994
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
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article

Collective methodological emission assay of Thioflavin T for qualitative α-synuclein fibril structures discrimination

Vytautas Smirnovas, Darius Šulskis, Kamilė Mikalauskaitė, Karol Struniawski et al.
International Journal of Biological Macromolecules
Parkinson's Disease Mechanisms and Treatments
article

Collective methodological emission assay of Thioflavin T for qualitative α-synuclein fibril structures discrimination

Vytautas Smirnovas, Darius Šulskis, Kamilė Mikalauskaitė, Karol Struniawski, Grzegorz Szwachta, P Hańczyc, Ryszard Kozera, Andrius Sakalauskas, Mantas Žiaunys, V. I. Stsiapura, Ewelina Jalonicka, Aleksandra Konopka
article en

Abstract

α-Synuclein aggregation into distinct fibrillar structures is increasingly recognized as a key determinant of Parkinson's disease heterogeneity, yet rapid discrimination of these morpho-types remains challenging. Here, we present a multi-parametric emission assay, supported by machine-learning, to qualitatively distinguish three α-synuclein fibril samples, containing different fibril structures, which were generated under controlled stressors (temperature, glass-bead surface area, quaking). Atomic force microscopy (AFM) revealed that type I fibrils display cross-sectional height variations, type II form long, flat protofilaments and type III comprise thin fibrils emerging from 40 to 60 nm aggregate clumps. Cryogenic electron microscopy (cryo-EM) confirmed the morphological diversity by showing that each sample contained both single-stranded and double-stranded fibril structures. Time-resolved emission of Thioflavin T (ThT) embedded into α-synuclein fibrils was analyzed using multiexponential and lifetime distribution models. The latter approach via reconstruction of decay lifetime distributions using maximum entropy method demonstrated possibility of fibrils discrimination based on fluorescence decay of ThT and allowed to link the fibrils morphology to emission decay kinetics of the dye. Fabry-Perot cavity lasing was used to confirm samples types discrimination. Automated image analysis of lasing frames using K-nearest neighbors model showed 88 % accuracy in samples type recognition, particularly powerful in recognition of quenched-states of ThT being at play in type III fibrils. The results were compared to fibrils, which were generated using artificial cerebrospinal fluid - a medium that yields a single secondary structure of aggregate filaments. These complementary methodological analyses represent a sensitive platform for α-synuclein fibril structures discrimination, with application in early diagnostic assay.

International Journal of Biological MacromoleculesVol. 335(Pt 1)
Warsaw University of Technology (PL), Warsaw University of Life Sciences (PL), Vilnius University (LT), University of Warsaw (PL)
Openalex Percentile: Top 53%
Parkinson's Disease Mechanisms and Treatments
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