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Neurogenic and neuroprotective donepezil-flavonoid hybrids with sigma-1 affinity and inhibition of key enzymes in Alzheimer's disease

Authors :
European Commission
Ministerio de Economía, Industria y Competitividad (España)
Colciencias (Colombia)
Comunidad de Madrid
Consejo Superior de Investigaciones Científicas (España)
Xunta de Galicia
Estrada, Martín
Herrera-Arozamena, Clara
Andrés, Lucía de
Pérez, Concepción
Morales-García, José A.
Pérez Castillo, Ana
Ramos, Eva
Romero Jódar, Alejandro
Viña, Dolores
Yáñez, Matilde
Laurini, E.
Pricl, Sabrina
Rodríguez-Franco, María Isabel
European Commission
Ministerio de Economía, Industria y Competitividad (España)
Colciencias (Colombia)
Comunidad de Madrid
Consejo Superior de Investigaciones Científicas (España)
Xunta de Galicia
Estrada, Martín
Herrera-Arozamena, Clara
Andrés, Lucía de
Pérez, Concepción
Morales-García, José A.
Pérez Castillo, Ana
Ramos, Eva
Romero Jódar, Alejandro
Viña, Dolores
Yáñez, Matilde
Laurini, E.
Pricl, Sabrina
Rodríguez-Franco, María Isabel
Publication Year :
2018

Abstract

In this work we describe neurogenic and neuroprotective donepezil-flavonoid hybrids (DFHs), exhibiting nanomolar affinities for the sigma-1 receptor and inhibition of key enzymes in Alzheimer's disease (AD), such as acetylcholinesterase (AChE), 5-lipoxygenase (5-LOX), and monoamine oxidases (MAOs). In general, new compounds scavenge free radical species, are predicted to be brain-permeable, and protect neuronal cells against mitochondrial oxidative stress. N-(2-(1-Benzylpiperidin-4-yl)ethyl)-6,7-dimethoxy-4-oxo-4H-chromene-2-carboxamide (18) is highlighted due to its interesting biological profile in sigma1R, AChE, 5-LOX, MAO-A and MAO-B. In phenotypic assays, it protects a neuronal cell line against mitochondrial oxidative stress and promotes maturation of neural stem cells into a neuronal phenotype, which could contribute to the reparation of neuronal tissues. Molecular modelling studies of 18 in AChE, 5-LOX and sigma-1R revealed the main interactions with these proteins, which will be further exploited in the optimization of new, more efficient DFHs.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1138009734
Document Type :
Electronic Resource