Literature DB >> 32174209

Metabolic profiling of coumarins by the combination of UPLC-MS-based metabolomics and multiple mass defect filter.

Yao Xiao1,2, Yi-Kun Wang1,2, Xue-Rong Xiao1, Qi Zhao1,2, Jian-Feng Huang1,2, Wei-Feng Zhu3, Fei Li1.   

Abstract

Coumarins have aroused high interests due to their diverse bioactivities. Understanding of its metabolism contributes to determine the druggability of coumarin in vivo.A sensitive and efficient strategy based on ultra-performance liquid chromatography-mass spectrometer (UPLC-MS) analysis combined with various data-processing techniques including metabolomics and multiple mass defect filter (MMDF) was established for the comprehensive screening and elucidation of potential coumarin metabolites.Total 20 metabolites of scoparone were identified in this study, including 14 undescribed metabolites. The metabolism of two other similar coumarins scopoletin and esculetin also could be determined using this strategy.By the established strategy, this study gives the insights about the major metabolic pathways of scoparone in vivo and in vitro metabolism, including demethylation, hydroxylation, hydration, cysteine conjugation, glucuronide conjugation and sulfate conjugation. Additionally, the metabolic pathways of scopoletin and esculetin were determined as hydroxylation, glucuronidation and sulfation. These results contribute to the understanding of metabolic characterization of coumarins, and demonstrate that the combination of UPLC-MS-based metabolomics and MMDF is a powerful approach to determine the metabolic pathways of coumarin compounds.

Entities:  

Keywords:  Coumarins; UPLC-MS; metabolism; metabolomics; multiple mass defect filter

Year:  2020        PMID: 32174209     DOI: 10.1080/00498254.2020.1744047

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  1 in total

1.  Metabolic Profile of C-Prenyl Coumarins Using Mass Spectrometry-Based Metabolomics.

Authors:  Yan Cheng; Xiaofang Ma; Qi Zhao; Chunyan Wang; Dongmei Yan; Fei Li
Journal:  Molecules       Date:  2021-10-29       Impact factor: 4.411

  1 in total

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