Urinary metabolomics analysis reveals the effect of volatile oil from Angelica sinensis on LPS-induced inflammation rats.
Authors of this article are:
Hua YL Ma Q Zhang XS Yao WL Ji P Hu JJ Wei YM.
A summary of the article is shown below:
Lipopolysaccharide (LPS)-induced inflammation occurs commonly and volatile oil from Angelica sinensis (VOAS) can be used as anti-inflammatory agent. The molecular mechanisms that allow the anti-flammatory factors to be expressed are still unknown. In this paper, we applied gas chromatography-mass spectrometry (GC-MS) and high-performance liquid chromatography-time-of-flight mass spectrometry (LC-Q/TOF-MS) based on a metabolomics platform coupled with a network approach to analyze urine samples in three groups of rats: one with LPS-induced inflammation (MI); one with intervention with VOAS; and normal controls (NC). Our study found definite metabolic footprints of inflammation and showed that all three groups of rats, MI, intervention with VOAS, and NC have distinct metabolic profiles in urine. The concentrations of 48 metabolites differed significantly among the three groups. The metabolites in urine were screened by the method of GC-MS and LC-Q/TOF-MS. The significantly changed metabolites (P < 0.05, variable importance in the projection VIP > 1.5) between MI, NC, and VOAS were included in the metabolic networks. Finally, hub metabolites were screened, including glycine, arachidonic acid (AA), L-glutamate, pyruvate, and succinate, which have high values of degree (k). Results suggest that disorders of glycine, AA, L-glutamate, pyruvate, succinate metabolism might play an important part in the predisposition and development of LPS-induced inflammation. By applying metabolomics with network methods, the mechanisms of diseases are clearly elucidated.
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This article is a good source of information and a good way to become familiar with topics such as: Angelica sinensis;Correlation network;Inflammation;Metabolomics.
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