Construction and analysis of correlation networks based on gas chromatography-mass spectrometry metabonomics data for lipopolysaccharide-induced inflammation and intervention with volatile oil from Angelica sinensis in rats

2015 ◽  
Vol 11 (11) ◽  
pp. 3174-3187 ◽  
Author(s):  
Yong-li Hua ◽  
Peng Ji ◽  
Zi-yu Xue ◽  
Yan-ming Wei
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Volatile Oil ◽  
Gas Chromatography Mass Spectrometry ◽  
Angelica Sinensis ◽  
Correlation Networks ◽  
Chromatography Mass Spectrometry ◽  
Anti Inflammatory

Angelica sinensis (AS) is a well-known important traditional Chinese medicine that yields a volatile oil with anti-inflammatory effects.

Application of gas chromatography-mass spectrometry in research of traditional Chinese medicine

2009 ◽  
Vol 63 (5) ◽  
Author(s):  
Jiesheng Ye
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Volatile Compounds ◽  
Biological Fluids ◽  
Gas Chromatography Mass Spectrometry ◽  
Isolation And Characterization ◽  
Chromatography Mass Spectrometry ◽  
Low Toxicity

AbstractIt is well known that traditional Chinese medicine (TCM) plays a more and more important role in modern pharmaceutical industry. It has been used in the therapy of many diseases for several thousand years because of its high pharmacological activity, low toxicity and rare side effects. In TCM, as an important group of secondary metabolites, essential oils have attracted a great deal of attention in recent years. Gas chromatography-mass spectrometry (GC-MS) is the most commonly used technique for the analysis of liposoluble constituents, especially volatile/semi-volatile compounds, and their metabolites in biological fluids due to its high resolution, selectivity and sensitivity. This review briefly describes the applications of GC-MS for the isolation and characterization of volatile compounds from TCM. In addition, GC-MS methods adopted in the metabolic profiling of volatile compounds in biological matrices are also described.

scholarly journals Serum Metabolic Profiling Analysis of Gout Patients Treated with Traditional Chinese Medicine Tongfengtai Granules Based on Gas Chromatography-Mass Spectrometry

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jianyong Zhang ◽  
Hong Pan ◽  
Jingjing Xie ◽  
Jing Wang ◽  
Ruyi Wang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Metabolic Profiling ◽  
Metabolic Pathways ◽  
Gas Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Before And After ◽  
Metabolic Biomarkers

Gout has become a public health problem that seriously threatens human health. Traditional Chinese medicines (TCMs) have a long history of treating gout and have some advantages compared with the conventional medicines. Compound TCM Tongfengtai granules are gradually being used for clinical treatment of gout, but its mechanism is still unclear. The purpose of this study was to explore the metabolic profiling of serum from gout patients before and after treatment with Tongfengtai granules and identify the differential metabolites and related metabolic pathways. A total of 40 gout patients hospitalized in Shenzhen Traditional Chinese Medicine Hospital from 2018 to March 2019 were recruited in the current study, and serum samples from these patients before and after treatment with Tongfengtai granules were collected. Gas chromatography-mass spectrometry (GC-MS) assay was used to identify serum metabolites. The OPLS-DA VIP method was used to screen for potential metabolic biomarkers, and MetaboAnalyst 4.0 was used to identify related metabolic pathways. The result showed that there was a significant difference in the concentrations of six metabolites in the serum after treatment: D-galactose, lactic acid, 3-hydroxybutyric acid, D-pyran (type) glucose, alanine, and L-isoleucine. Except D-pyran (type) glucose, the serum concentrations of the other five metabolites were all significantly reduced. Besides, pathway enrichment analysis found that these potential metabolic biomarkers were mainly involved in lactose degradation and the glucose-alanine cycle. Thus, the serum metabolic profiling of gout patients treated with Tongfengtai granules changed, and the differential metabolites and related metabolic pathways might provide clues for understanding the mechanism of Tongfengtai granules.

scholarly journals The Applications and Obstacles of Metabonomics in Traditional Chinese Medicine

2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Ping Liu ◽  
Songlin Liu ◽  
Daizhi Tian ◽  
Ping Wang
Keyword(s):  
Mass Spectrometry ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Gas Chromatography Mass Spectrometry ◽  
Liquid Chromatography Mass Spectrometry ◽  
Analytical Technique ◽  
Chromatography Mass Spectrometry ◽  
Wide Range ◽  
Further Development ◽  
Analytical Technology

In the recent years, a wide range of metabonomic technologies are widely used in the modern research of traditional chinese medicine (TCM). At present, the most prevailing methods for TCM research are mainly nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), and liquid chromatography-mass spectrometry (LC-MS). With these techniques, metabonomics will help to understand syndromes, efficacy and toxicity of TCM. However, every analytical technique has its advantages and drawbacks, and there exist some obstacles of its applications on TCM. So, we discuss metabonomics in TCM and analyze some problems of its applications to study TCM in recent years. We believe that with the further development of metabonomic analytical technology, especially multianalysed techniques, metabonomics will greatly promote TCM research and be beneficial to the modernization of TCM.

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