Computational and In-Vitro Validation of Natural Molecules as Potential Acetylcholinesterase Inhibitors and Neuroprotective Agents.

Abstract:

BACKGROUND:Cholinesterase inhibitors are the first line of therapy for the management of Alzheimer's disease (AD), however, it is now established that they provide only temporary and symptomatic relief, besides, having several inherited side-effects. Therefore, an alternative drug discovery method is used to identify new and safer 'disease-modifying drugs'. METHODS:Herein, we screened 646 small molecules of natural origin having reported pharmacological and functional values through in-silico docking studies to predict safer neuromodulatory molecules with potential to modulate acetylcholine metabolism. Further, the potential of the predicted molecules to inhibit acetylcholinesterase (AChE) activity and their ability to protect neurons from degeneration was determined through in-vitro assays. RESULTS:Based on in-silico AChE interaction studies, we predicted quercetin, caffeine, ascorbic acid and gallic acid to be potential AChE inhibitors. We confirmed the AChE inhibitory potential of these molecules through in-vitro AChE inhibition assay and compared results with donepezil and begacestat. Herbal molecules significantly inhibited enzyme activity and inhibition for quercetin and caffeine did not show any significant difference from donepezil. Further, the tested molecules did not show any neurotoxicity against primary (E18) hippocampal neurons. We observed that quercetin and caffeine significantly improved neuronal survival and efficiently protected hippocampal neurons from HgCl2 induced neurodegeneration, which other molecules, including donepezil and begacestat, failed to do. CONCLUSION:Quercetin and caffeine have the potential as "disease-modifying drugs" and may find application in the management of neurological disorders such as AD.

journal_name

Curr Alzheimer Res

authors

Kumar A,Mehta V,Raj U,Varadwaj PK,Udayabanu M,Yennamalli RM,Singh TR

doi

10.2174/1567205016666181212155147

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

116-127

issue

2

eissn

1567-2050

issn

1875-5828

pii

CAR-EPUB-95205

journal_volume

16

pub_type

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