Comprehensive Identification of Astilbin Metabolites in Rats Based on Multiple Metabolite Templates Combined with UHPLC-Q-Exactive Mass Spectrometry

Title:Comprehensive Identification of Astilbin Metabolites in Rats Based on Multiple Metabolite Templates Combined with UHPLC-Q-Exactive Mass Spectrometry

Volume: 22 Issue: 10

Author(s): Shan Jiang, Haoran Li, Ailin Yang, Hongbing Zhang, Pingping Dong, Fan Dong, Long Dai, Shaoping Wang*Jiayu Zhang*

Affiliation:

• Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021,China

• School of Pharmacy, Bin Zhou Medical University, Yantai 264003,China

Keywords: Astilbin, metabolites, UHPLC-Q-Exactive mass spectrometer, data-mining methods, biological activities, dihydroflavonol glycosides.

Abstract:

Background: Astilbin, a dihydroflavonoid compound widely found in plants, exhibits a variety of pharmacological activities and biological effects. However, little is known about the metabolism of this active compound in vivo, which is very helpful for elucidating the pharmacodynamic material basis and application of astilbin.

Objective: To establish a rapid profiling and identification method for metabolites in rat urine, faeces and plasma using a UHPLC-Q-Exactive mass spectrometer in negative ion mode.

Methods: In this study, a simple and rapid systematic strategy and 7 metabolite templates, which were established based on previous reports, were utilized to screen and identify astilbin metabolites.

Results: As a result, a total of 71 metabolites were detected and characterized, among which 32 metabolites were found in rat urine, while 27 and 38 metabolites were characterized from rat plasma and faeces, respectively. These metabolites were presumed to be generated through ring cleavage, sulfation, dehydrogenation, methylation, hydroxylation, glucuronidation, dehydroxylation and their composite reactions.

Conclusion: This study illustrated the capacity of the sensitive UHPLC-Q-Exactive mass spectrometer analytical system combined with the data-mining methods to rapidly elucidate the unknown metabolism. Moreover, the comprehensive metabolism study of astilbin provided an overall metabolic profile, which will be of great help in predicting the in vivo pharmacokinetic profiles and understanding the action mechanism of this active ingredient.

Cite this article as:

Jiang Shan , Li Haoran , Yang Ailin , Zhang Hongbing , Dong Pingping , Dong Fan , Dai Long , Wang Shaoping *, Zhang Jiayu *, Comprehensive Identification of Astilbin Metabolites in Rats Based on Multiple Metabolite Templates Combined with UHPLC-Q-Exactive Mass Spectrometry, Current Drug Metabolism 2021; 22 (10) . https://dx.doi.org/10.2174/1389200222666210811110619