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A Biomimetic Multiparametric Assay to Characterise Anti-Amyloid Drugs

Authors :
Willy Smeralda
Marc Since
Sophie Corvaisier
Dimitri Fayolle
Julien Cardin
Sylvain Duprey
Jean-Pierre Jourdan
Christophe Cullin
Aurélie Malzert-Freon
Source :
International Journal of Molecular Sciences, Vol 24, Iss 23, p 16982 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Alzheimer’s disease (AD) is the most widespread form of senile dementia worldwide and represents a leading socioeconomic problem in healthcare. Although it is widely debated, the aggregation of the amyloid β peptide (Aβ) is linked to the onset and progression of this neurodegenerative disease. Molecules capable of interfering with specific steps in the fibrillation process remain of pharmacological interest. To identify such compounds, we have set up a small molecule screening process combining multiple experimental methods (UV and florescence spectrometry, ITC, and ATR-FTIR) to identify and characterise potential modulators of Aβ1-42 fibrillation through the description of the biochemical interactions (molecule–membrane Aβ peptide). Three known modulators, namely bexarotene, Chicago sky blue and indomethacin, have been evaluated through this process, and their modulation mechanism in the presence of a biomembrane has been described. Such a well-adapted physico-chemical approach to drug discovery proves to be an undeniable asset for the rapid characterisation of compounds of therapeutic interest for Alzheimer’s disease. This strategy could be adapted and transposed to search for modulators of other amyloids such as tau protein.

Details

Language :
English
ISSN :
14220067 and 16616596
Volume :
24
Issue :
23
Database :
Directory of Open Access Journals
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.81db4bb423e4ec9acdf87194b3ea894
Document Type :
article
Full Text :
https://doi.org/10.3390/ijms242316982