3.8 Article

Investigation on silymarin impact on lipopolysaccharide induced inflammation model based on arachidonic acid metabolism pathway

期刊

CHINESE JOURNAL OF CHROMATOGRAPHY
卷 35, 期 6, 页码 578-586

出版社

SCIENCE PRESS
DOI: 10.3724/SP.J.1123.2017.01026

关键词

ultra. high performance liquid chromatography. tandem mass spectrometry (UPLC-MS/MS); eicosanoids; deuterated internal standards; silymarin; metabonomics; inflammatory

资金

  1. Shanghai Science and Technology Commission [15142200200, 16142200300]
  2. China Postdoctoral Science Fund [2015M581628]
  3. Shanghai Introduction of Technology Absorption and Innovation [XC-ZXSJ-02-2016-11]

向作者/读者索取更多资源

The objective of this research is to investigate the suppressive effect of silymarin on vitro cell culture model of inflammatory macrophage RAW264.7 induced by Kdo2-Lipid A, and explore its mechanism based on cell metabonomics-Ultra-high performance liquid chromatogra- phy coupled with tandem mass spectrometry (UPLC-MS/MS) method was used in the cell metabonomic assay to quantitative analysis of metabolites related to eicosanoids pathway. Then chemometric approaches such as principal component analysis were used to process the meta- bolic data-Within the established method, a total of 59 eicosanoids standards (containing 15 deuterated internal standards) were simultaneously separated in a single 5 min run, and the analytical method is proved to be rapid, sensitive and accurate-Whereafter, the metabolites with VIP > 1 and P value < 0-05 were considered as biomarkers-12-OxoLeukotriene B-4 (12- OxoLTB(4)) was eventually identified as metabolic biomarkers of silymarin treatment group in this research, and according to the related inflammatory pathways, we speculated silymarin has anti-inflammatory activities by inhibiting the 5-lipoxygenase (5-LOX) activity and blocking lipid peroxidation in 5-LOX metabolic pathways to reduce the formation of peroxides and oxygen free radicals. This study provide a novel approach to the mechanism research on the silymarin treat. ment on RAW264.-7 cells based on cell metabonomics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据