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Efficient characterization of multiple binding sites of small molecule imaging ligands on amyloid-beta, 4-repeat/full-length tau and alpha-synuclein

Jens Sobek, Junhao Li, Benjamin F. Combes, Juan Gerez, Peter R. Nilsson, Martin T. Henrich, Fanni F. Geibl, Kuangyu Shi et al.

bioRxiv (Cold Spring Harbor Laboratory), 2023

5 citations

Abstract

Abstract Aim There is an unmet need for compounds that detect alpha-synuclein (αSyn) and 4-repeat tau, which are critical in many neurodegenerative diseases for diagnostic and therapeutic purposes. Here, we aim to develop an efficient surface plasmon resonance (SPR)-based method to facilitate the characterization of small molecule ligands/compounds to these fibrils. Methods SPR measurements were conducted to characterize the binding properties of fluorescent ligands/compounds towards recombinant Aβ 42 , K18 4-repeat/full-length tau and αSyn fibrils. In silico modelling was performed to examine the binding pockets of ligands on αSyn fibrils. Immunofluorescence staining with fluorescence ligands and specific antibodies on postmortem brain tissue slices from patients with Parkinson’s disease and disease mouse models was performed. Results We optimized the protocol for immobilizing Aβ 42 , K18 tau, full-length tau and αSyn fibrils in a controlled aggregation state on SPR sensor chips. The results from the analysis of binding kinetics suggested the presence of at least two binding sites for all fibrils, including luminescent conjugated oligothiophenes (HS-169, HS-84, h-FTAA and q-FTAA), pyridine derivative PBB5, nonfluorescent methylene blue and lansoprazole. In silico modelling studies for αSyn (6H6B) showed four binding sites with preference to S4. Immunofluorescence staining validated the detection of pS129-positive αSyn in brain tissue from Parkinson’s disease patients, αSyn…

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Evidence Hub reads this as a preprint, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

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