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- Title
Differential Amino Acid, Carbohydrate and Lipid Metabolism Perpetuations Involved in a Subtype of Rheumatoid Arthritis with Chinese Medicine Cold Pattern.
- Authors
Hongtao Guo; Xuyan Niu; Yan Gu; Cheng Lu; Cheng Xiao; Kevin Yue; Ge Zhang; Xiaohua Pan; Miao Jiang; Yong Tan; Hongwei Kong; Zhenli Liu; Guowang Xu; Aiping Lu
- Abstract
Pattern classification is a key approach in Traditional Chinese Medicine (TCM), and it is used to classify the patients for intervention selection accordingly. TCM cold and heat patterns, two main patterns of rheumatoid arthritis (RA) had been explored with systems biology approaches. Different regulations of apoptosis were found to be involved in cold and heat classification in our previous works. For this study, the metabolic profiling of plasma was explored in RA patients with typical TCM cold or heat patterns by integrating liquid chromatography/mass spectrometry (LC/MS) and gas chromatography/mass spectrometry (GC/MS) platforms in conjunction with the Ingenuity Pathway Analysis (IPA) software. Three main processes of metabolism, including amino acid, carbohydrate and lipid were focused on for function analysis. The results showed that 29 and 19 differential metabolites were found in cold and heat patterns respectively, compared with healthy controls. The perturbation of amino acid metabolism (increased essential amino acids), carbohydrate metabolism (galactose metabolism) and lipid metabolism, were found to be involved in both cold and heat pattern RA. In particular, more metabolic perturbations in protein and collagen breakdown, decreased glycolytic activity and aerobic oxidation, and increased energy utilization associated with RA cold pattern patients. These findings may be useful for obtaining a better understanding of RA pathogenesis and for achieving a better efficacy in RA clinical practice.
- Subjects
AMINO acids; LIPID metabolism; RHEUMATOID arthritis; BIOLOGY; METABOLIC profile tests; LIQUID chromatography-mass spectrometry
- Publication
International Journal of Molecular Sciences, 2016, Vol 17, Issue 10, p1757
- ISSN
1661-6596
- Publication type
Article
- DOI
10.3390/ijms17101757