Literature DB >> 33370629

Garcinia linii extracts exert the mediation of anti-diabetic molecular targets on anti-hyperglycemia.

Ting-Hsu Chen1, Yaw-Syan Fu2, Sih-Pei Chen3, Yuh-Ming Fuh3, Charves Chang1, Ching-Feng Weng4.   

Abstract

Different portions (stem GIS and leaf GIL) of Garcinia linii were extracted by ethanol/water and crude extracts were employed to investigate the contents of total phenol and flavonoids, antioxidation activities, and inhibitory activities of α-amylase and α-glucosidase via enzymatic assay and OGTT and OSTT for lowering glucose levels. The data revealed that GlS and GlL contained different levels of flavonoids and total phenol. Furthermore, the results showed the extracts exhibited remarkable antioxidation activities and inhibitory activities of α-amylase and α-glucosidase. In silico docking studies were done using Gold software and the probable molecules retrieved from PubChem were docked with several anti-diabetic relate targets, the results showed several components of G. linii could potentially inhibit diabetic molecules when compared with clinic drugs. The cell glucose uptake data also confirmed that GlL and GlS could retain the active component in the regulation of insulin, AMPK, PPARγ, and DPP4. In vivo, the evidence showed G. linii extracts including syringaldehyde suppressed effect of hyperglycemia on OSTT and OGTT assays. These results suggest that G. linii extract has a potential therapeutic value for the treatment of diabetes in humans.
Copyright © 2020 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Entities:  

Keywords:  Alpha-amylase; Alpha-glucosidase; Diabetes; Garcinia linii; Hypoglycemia; Syringaldehyde

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Year:  2020        PMID: 33370629     DOI: 10.1016/j.biopha.2020.111151

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  2 in total

1.  Hypoglycemic and hypolipidemic effects of Garcinia cambogia extracts in streptozotocin-nicotinamide induced diabetic rat model.

Authors:  Prathvi Shetty; Mohandas Rai; Arun Ravindran; H N Gopalakrishna; Vinitha Ramanath Pai; Bhuvanesh Sukhlal Kalal
Journal:  Int J Clin Exp Pathol       Date:  2022-09-15

Review 2.  In Silico Approaches to Identify Polyphenol Compounds as α-Glucosidase and α-Amylase Inhibitors against Type-II Diabetes.

Authors:  Jirawat Riyaphan; Dinh-Chuong Pham; Max K Leong; Ching-Feng Weng
Journal:  Biomolecules       Date:  2021-12-14
  2 in total

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