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Synthesis of New Quinoline-Piperonal Hybrids as Potential Drugs against Alzheimer's Disease.

ABSTRACT: Six quinoline-piperonal hybrids were synthesized and evaluated as potential drugs against Alzheimer's disease (AD). Theoretical analysis of the pharmacokinetic and toxicological properties of the compounds suggest that they present good oral bio-availability and are also capable of penetrating the blood-brain barrier, qualifying as leads for new drugs against AD. Evaluation of their inhibitory capacity against acetyl- and butyrilcholinesterases (AChE and BChE) through Ellmann's test showed that three compounds present promising results with one of them being capable of inhibiting both enzymes. Further docking studies of the six compounds synthesized helped to elucidate the main interactions that may be responsible for the inhibitory activities observed.

SUBMITTER: de Oliveira C Brum J

PROVIDER: S-EPMC6720848 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Synthesis of New Quinoline-Piperonal Hybrids as Potential Drugs against Alzheimer's Disease.

de Oliveira C Brum Juliana J Neto Denise Cristian F DCF de Almeida Joyce Sobreiro F D JSFD Lima Josélia Alencar JA Kuca Kamil K França Tanos Celmar C TCC Figueroa-Villar José D JD

International journal of molecular sciences 20190814 16

Six quinoline-piperonal hybrids were synthesized and evaluated as potential drugs against Alzheimer's disease (AD). Theoretical analysis of the pharmacokinetic and toxicological properties of the compounds suggest that they present good oral bio-availability and are also capable of penetrating the blood-brain barrier, qualifying as leads for new drugs against AD. Evaluation of their inhibitory capacity against acetyl- and butyrilcholinesterases (AChE and BChE) through Ellmann's test showed that ...[more]

PMID: 31416113

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Project description:Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia worldwide. The limited pharmacological approaches based on cholinesterase inhibitors only provide symptomatic relief to AD patients. Moreover, the adverse side effects such as nausea, vomiting, loss of appetite, muscle cramps, and headaches associated with these drugs and numerous clinical trial failures present substantial limitations on the use of medications and call for a detailed insight of disease heterogeneity and development of preventive and multifactorial therapeutic strategies on urgent basis. In this context, we herein report a series of quinoline-thiosemicarbazone hybrid therapeutics as selective and potent inhibitors of cholinesterases. A facile multistep synthetic approach was utilized to generate target structures bearing multiple sites for chemical modifications and establishing drug-receptor interactions. The structures of all the synthesized compounds were fully established using readily available spectroscopic techniques (FTIR, 1H- and 13C-NMR). In vitro inhibitory results revealed compound 5b as a promising and lead inhibitor with an IC50 value of 0.12 ± 0.02 μM, a 5-fold higher potency than standard drug (galantamine; IC50 = 0.62 ± 0.01 μM). The synergistic effect of electron-rich (methoxy) group and ethylmorpholine moiety in quinoline-thiosemicarbazone conjugates contributes significantly in improving the inhibition level. Molecular docking analysis revealed various vital interactions of potent compounds with amino acid residues and reinforced the in vitro results. Kinetics experiments revealed the competitive mode of inhibition while ADME properties favored the translation of identified inhibitors into safe and promising drug candidates for pre-clinical testing. Collectively, inhibitory activity data and results from key physicochemical properties merit further research to ensure the design and development of safe and high-quality drug candidates for Alzheimer's disease.

Dataset Information

Synthesis of New Quinoline-Piperonal Hybrids as Potential Drugs against Alzheimer's Disease.

Publications

Synthesis of New Quinoline-Piperonal Hybrids as Potential Drugs against Alzheimer's Disease.

Similar Datasets

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