Publication Cover
Natural Product Research
Formerly Natural Product Letters
Volume 38, 2024 - Issue 12
143
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Compounds from Rehmannia glutinosa and the activity to suppress α-glucosidase

, , , , &
Pages 2060-2068 | Received 22 Apr 2023, Accepted 20 Jul 2023, Published online: 04 Aug 2023
 

Abstract

Rehmannia glutinosa was extensively used to control blood sugar in diabetes treatment in tradition Chinese medicine. In the present study, three new compounds, including an iridoid rehmannia A (1) and two ionone rehmannias B-C (7-8), together with fourteen known compounds (2-6 and 9-17), were isolated from the roots of R. glutinosa. The structures of these compounds were determined by physicochemical constants and spectral analysis (1D, 2D-NMR and MS). The effect of 1-17 on α-glucosidase activity was tested in vitro. Compounds 9, 10, and 11 (IC50: 5.0, 3.1, and 6.3 mM) showed moderate activity to suppress α-glucosidase relative to acarbose (IC50 = 3.0 mM). The findings provided some new insights to understand the hypoglycemic effect of R. glutinosa and the development towards the α-glucosidase inhibitor drugs.

Graphical Abstract

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

National Natural Science Foundation of China 82073737 the Open Fund of State Key Laboratory of Tea Plant Biology and Utilization`SKLTOF20190110 the Innovative Team of Yunnan Province No. 2019HC018.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 861.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.