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Analysis on dynamic variations of plasma metabolites of CUMS-induced depression rats by GC-MS metabolomics
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Cui WANG1, Xue-yang JIA1, Lu-wen HOU1, Xue-mei QIN1, 2, Jian-guo LI1, 2, 3, *
Acta Pharmaceutica Sinica | 2018, 53(6) : 980 - 986
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Acta Pharmaceutica Sinica | 2018, 53(6): 980-986
• Medicinal Chemistry Pharmaceutical Analysis •
Analysis on dynamic variations of plasma metabolites of CUMS-induced depression rats by GC-MS metabolomics
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Cui WANG1, Xue-yang JIA1, Lu-wen HOU1, Xue-mei QIN1, 2, Jian-guo LI1, 2, 3, *
Affiliations
  • 1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
  • 2. Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
  • 3. Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China
Published: 2018-06-12 doi: 10.16438/j.0513-4870.2018-0025
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To compare static and dynamic metabolomics data analysis of CUMS (chronic unpredictable mild stress)-induced depression, GC-MS spectrometry was conducted on the plasma metabolome. S-Plot and ANOVA (analysis of variance)-simultaneous component analysis (ASCA) were respectively applied to static and dynamic analysis of metabolomics data. Static metabolomics data analysis revealed three typical plasma metabolites including propionic acid, D-allose, and 9, 12, 15-octadecatrienoic acid, while dynamic me-tabolomics data analysis found seven typical metabolites including propionic acid, D-allose, My-inositol, me-thylamine, etc. The abundances of typical metabolites observed by dynamic metabolomics data analysis were consistent with the variation trends of body weight and sugar water preference rate of CUMS rats. In conclusion, dynamic metabolomics analysis revealed more typical plasma metabolites, which have the potential to explain variations of body weight and behavior parameter of CUMS-induced depression rats. Combination of static and dynamic metabolomics data analysis may provide a strong support to the pathological study of complex diseases.

GC-MS  /  metabolomics  /  chronic unpredictable mild stress  /  S-Plot  /  analysis of variance-simultaneous component analysis  /  depression
Cui WANG, Xue-yang JIA, Lu-wen HOU, Xue-mei QIN, Jian-guo LI. Analysis on dynamic variations of plasma metabolites of CUMS-induced depression rats by GC-MS metabolomics[J]. Acta Pharmaceutica Sinica, 2018 , 53 (6) : 980 -986 . DOI: 10.16438/j.0513-4870.2018-0025
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Article Info
doi: 10.16438/j.0513-4870.2018-0025
  • Receive Date：2018-01-06
  • Online Date：2026-01-15
  • Published：2018-06-12
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  • Received：2018-01-06
  • Revised：2018-02-17
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Affiliations
    1. Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China
    2. Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Shanxi University, Taiyuan 030006, China
    3. Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, China
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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