HPTLC Fingerprint Profile and Identification of Antidiabetic and Antioxidant Leads from Bauhinia rufescens L

Autor: Abdel Khalig Muddathir, Iman H. Abdoon, Shaza W. Shantier, Mona Salih Mohammed, Hassan S. Khalid, Bashier Osman, Wadah J. A. Osman
Rok vydání: 2020
Předmět:
Zdroj: Advances in Pharmacological and Pharmaceutical Sciences, Vol 2020 (2020)
ISSN: 2633-4690
2633-4682
DOI: 10.1155/2020/3201463
Popis: Diabetes is one of the world’s major health problems, and many reports have supported the role of oxidative stress in the pathogenesis of both type 1 and type 2 diabetes. The present study aims to evaluate the antidiabetic and antioxidant activity of Bauhinia rufescens, a plant used in Sudanese folkloric medicine for the treatment of diabetes. It was also aimed to identify isolates and characterize the bioactive antidiabetic and antioxidant compounds using bioactivity-guided fractionation followed by high-performance thin-layer chromatography (HPTLC) autobiography, liquid chromatography-mass spectrometric analysis, and nuclear magnetic resonance (NMR). Two potential compounds were successfully isolated and identified which may provide new leads for more potent analogues in drug discovery.
Databáze: OpenAIRE