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Benzoic acid-derived nitrones: A new class of potential acetylcholinesterase inhibitors and neuroprotective agents

Title
Benzoic acid-derived nitrones: A new class of potential acetylcholinesterase inhibitors and neuroprotective agents
Type
Article in International Scientific Journal
Year
2019
Authors
Oliveira, C
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Bagetta, D
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Fernando Cagide
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FCUP
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Teixeira, J
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Amorim, R
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Silva, T
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Garrido, J
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Fernando Remiao
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FFUP
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Uriarte, E
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Oliveira, PJ
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Alcaro, S
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Ortuso, F
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Fernanda Borges
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FCUP
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Journal
Vol. 174
Pages: 116-129
ISSN: 0223-5234
Publisher: Elsevier
Other information
Authenticus ID: P-00Q-GJE
Abstract (EN): The discovery of new chemical entities endowed with potent and selective acetylcholinesterase (AChE) and/or butyrylcholinesterase (BChE) inhibitory activity is still a relevant subject for Alzheimer's disease therapy. Therefore, a small library of benzoic based amide nitrones (compounds 24 to 42) was synthesized and screened toward cholinesterase enzymes. SAR studies showed that the tert-butyl moiety is the most favourable nitrone pattern. In general, tert-butyl derivatives effectively inhibited AChE, being compound 33 the most potent (IC50 = 8.3 +/- 0.3 mu M; Ki 5.2 mu M). The data pointed to a non-competitive inhibition mechanism of action, which was also observed for the standard donepezil. None of compounds showed BChE inhibitory activity. Molecular modelling studies provided insights into the enzyme-inhibitor interactions and rationalised the experimental data, confirming that the binding mode of nitrones 33 and 38 towards AChE has the most favourable binding free energy. The tert-butylnitrones 33 and 38 were not cytotoxic on different cell lines (SH-SY5Y and HepG2). Moreover, compound 33 was able to prevent t-BHP-induced oxidative stress in SH-SY5Y differentiated cells. Due to its AChE selectivity and promising cytoprotective properties, as well as its appropriate drug-like profile pointing toward blood-brain barrier permeability, compound 33 is proposed as a valid lead for a further optimization step. (C) 2019 The Authors. Published by Elsevier Masson SAS.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 14
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