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An 1HNMR-based plasma metabonomic study of patients with psoriasis vulgaris / 第二军医大学学报
Academic Journal of Second Military Medical University ; (12): 74-80, 2017.
Article in Chinese | WPRIM | ID: wpr-838354
ABSTRACT
Objective To search for the potential plasma biomarkers for patients with psoriasis vulgaris by metabonomics technology based on nuclear magnetic resonance 1H spectroscopy (1HNMR), and to explore the related metabolic pathway. Methods 1HNMR technique was applied to examine the plasma samples from 10 patients with psoriasis vulgaris and 12 healthy volunteers. The data were analyzed for pattern recognition using principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). The differential metabolites in plasma between patients psoriasis vulgaris and healthy volunteers were analyzed, and the metabolic pathways were constructed according to the changes of the differential metabolites. Results Pattern recognition analysis had a satisfactory discriminating and predicting performance. Compared with healthy volunteers, the levels of very low density lipoprotein (VLDL), low density lipoprotein (LDL), lipids, leucine, isoleucine, valine, β-hydroxybutyrate, lactate, alanine, arginine, N-acetylglycoproteins, acetoacetate, glutamate, pyruvate, glutamine, citrate, creatine, creatinine, glucose, aspartate and phenylalanine in plasma of patients with psoriasis vulgaris were greatly increased. Conclusion Our results suggest that patients with psoriasis vulgaris have disorders of lipid metabolism, glucose metabolism and amino acid metabolism, accompanied by inflammation and functional damage to the liver and kidney, which may improve our understanding of the pathogenesis of psoriasis vulgaris.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Academic Journal of Second Military Medical University Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Academic Journal of Second Military Medical University Year: 2017 Type: Article