In-Vivo Antidiabetic Activity and In-Silico Mode of Action of LC/MS-MS Identified Flavonoids in Oleaster Leaves

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Mechchate , H , Es-Safi , I , Bourhia , M , Kyrylchuk , A , El Moussaoui , A , Conte , R , Ullah , R , Ezzeldin , E , Mostafa , G A , Grafov , A , Bekkari , H & Bousta , D 2020 , ' In-Vivo Antidiabetic Activity and In-Silico Mode of Action of LC/MS-MS Identified Flavonoids in Oleaster Leaves ' , Molecules , vol. 25 , no. 21 , 5073 . https://doi.org/10.3390/molecules25215073

Title: In-Vivo Antidiabetic Activity and In-Silico Mode of Action of LC/MS-MS Identified Flavonoids in Oleaster Leaves
Author: Mechchate, Hamza; Es-Safi, Imane; Bourhia, Mohammed; Kyrylchuk, Andrii; El Moussaoui, Abdelfattah; Conte, Raffaele; Ullah, Riaz; Ezzeldin, Essam; Mostafa, Gamal A.; Grafov, Andriy; Bekkari, Hicham; Bousta, Dalila
Contributor: University of Helsinki, Department of Chemistry
Date: 2020-11
Language: eng
Number of pages: 13
Belongs to series: Molecules
ISSN: 1420-3049
URI: http://hdl.handle.net/10138/322503
Abstract: Background: Olea europea L. subsp. europaea var. sylvestris (Mill) Lehr (Oleaster) is a wild endemic olive tree indigenous to the Mediterranean region. Olea europea leaves represent a natural reservoir of bioactive molecules that can be used for therapeutic purposes. Aim of the study: This work was conducted to study antidiabetic and antihyperglycemic activities of flavonoids from oleaster leaves using alloxan-induced diabetic mice. The mode of action of flavonoids against eight receptors that have a high impact on diabetes management and complication was also investigated using molecular docking. Results: During 28 days of mice treatment with doses 25 and 50 mg/kg b.w, the studied flavonoids managed a severe diabetic state (
Subject: Olea europea L
subsp
europaea var
sylvestris (Mill) Lehr
oleaster
diabetes
flavonoids
molecular docking
SALIVARY ALPHA-AMYLASE
INSULIN SENSITIVITY
CRYSTAL-STRUCTURES
AROMATIC RESIDUES
PROTEIN
RECOGNITION
ACTIVATION
MECHANISM
DOMAIN
1182 Biochemistry, cell and molecular biology
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