Literature DB >> 33221105

Mechanistic study on inhibition of porcine pancreatic α-amylase using the flavonoids from dandelion.

Yanmei Huang1, Peng Wu2, Jian Ying3, Zhizhong Dong4, Xiao Dong Chen5.   

Abstract

This study was designed to investigate quantitatively the inhibition and molecular mechanism of pancreatic α-amylase exhibited by flavonoids from dandelion to reveal its potential use in relieving postprandial hyperglycemia. The results show that the flavonoids reversibly inhibited the α-amylase in a non-competitive manner with Michaelis-Menten constant (Km) and half-inhibitory concentration (IC50) value of 10.51 and 0.0067 mg/mL, respectively. The flavonoids present a strong ability to quench the intrinsic fluorescence of α-amylase through static quenching by forming a complex. The values of the binding site (n) at different temperatures were found to be approximately the unity, indicating the presence of a single class of molecular binding of the dandelion flavonoids on α-amylase. The positive values of enthalpy and entropy change reveal that the binding was predominately driven by hydrophobic interactions. This study suggests a benefit of incorporating the dandelion flavonoids in making functional foods in managing the diet of the diabetes.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dandelion flavonoids; Enzymatic kinetics; Fluorescence quenching; Inhibition; Pancreatic α-amylase

Year:  2020        PMID: 33221105     DOI: 10.1016/j.foodchem.2020.128610

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Effect of co-toxicity of lead and nanoplastics on the flavonoid biosynthetic pathway in dandelion (Taraxacum asiaticum Dahlst).

Authors:  Gao Minling; Youming Dong; Shengli Wang; Tianbo Wang; Linsen Bai; Zhengguo Song
Journal:  Planta       Date:  2022-10-07       Impact factor: 4.540

2.  Inhibitory Mechanism of Baicalein on Acetylcholinesterase: Inhibitory Interaction, Conformational Change, and Computational Simulation.

Authors:  Yijing Liao; Xing Hu; Junhui Pan; Guowen Zhang
Journal:  Foods       Date:  2022-01-10
  2 in total

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