Comprehensive Metabolic Profiling of Euphorbiasteroid in Rats by Integrating UPLC-Q/TOF-MS and NMR as Well as Microbial Biotransformation.
Sijia XiaoXike XuXintong WeiJiayun XinShanshan LiYanhui LvWei ChenWen-Lin YuanBin XieXian-Peng ZuYun-Heng ShenPublished in: Metabolites (2022)
Euphorbiasteroid, a lathyrane-type diterpene from Euphorbiae semen (the seeds of Euphorbia lathyris L.), has been shown to have a variety of pharmacological effects such as anti-tumor and anti-obesity. This study aims to investigate the metabolic profiles of euphorbiasteroid in rats and rat liver microsomes (RLMs) and Cunninghamella elegans bio-110930 by integrating ultra-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry (UPLC-Q/TOF-MS), UNIFI software, and NMR techniques. A total of 31 metabolites were identified in rats. Twelve metabolites ( M1 - M5 , M8 , M12 - M13 , M16 , M24 - M25 , and M29 ) were matched to the metabolites obtained by RLMs incubation and the microbial transformation of C. elegans bio-110930 and their structures were exactly determined through analysis of NMR spectroscopic data. In addition, the metabolic pathways of euphorbiasteroid were then clarified, mainly including hydroxylation, hydrolysis, oxygenation, sulfonation, and glycosylation. Finally, three metabolites, M3 (20-hydroxyl euphorbiasteroid), M24 (epoxylathyrol) and M25 (15-deacetyl euphorbiasteroid), showed significant cytotoxicity against four human cell lines with IC 50 values from 3.60 μM to 40.74 μM. This is the first systematic investigation into the in vivo metabolic pathways of euphorbiasteroid and the cytotoxicity of its metabolites, which will be beneficial for better predicting the metabolism profile of euphorbiasteroid in humans and understanding its possible toxic material basis.
Keyphrases
- ms ms
- high resolution
- liquid chromatography
- magnetic resonance
- mass spectrometry
- simultaneous determination
- tandem mass spectrometry
- microbial community
- solid state
- endothelial cells
- type diabetes
- insulin resistance
- weight loss
- high performance liquid chromatography
- molecular docking
- body mass index
- weight gain
- adipose tissue
- machine learning
- high fat diet induced
- solid phase extraction