Journal of Traditional Chinese Medicine ›› 2012, Vol. 32 ›› Issue (01): 119-124.DOI: 10.1016/s0254-6272(12)60044-2

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Correlative analysis of neoplasm patients with phlegm-stasis or abnormal Savda syndrome, based on metabonomics

Mamtimin Batur, Upur Halmurat, Fu-Hua Hao, Rena Aiziz, Matsidik Aynur   

  1. College of Pharmacy, Xinjiang Medical University, Urumqi 830011, China
  • Accepted:2012-03-15 Online:2012-03-15 Published:2012-03-15

Abstract: Objective: To investigate plasma samples from neoplasm patients with phlegm-stasis or abnormal Savda syndrome, with NMR spectroscopy, and to analyze their metabolic varieties, characteristics and reciprocity. Methods: 1H-NMR spectra were analyzed using the orthogonal projection to latent structure with discriminative analysis (OPLS-DA) method with unit variance scaling. The discriminative significance of metabolites was determined by the Pearson's product - moment correlation coefficient. Results: Compared to the control group, neoplasm patients with phlegm - stasis or abnormal Savda syndrome had low concentrations of leucine, isoleucine, valine, alanine, tyrosine, histidine, citrulline, glycoprotein, glutamine, myo-inositol, scyllo-inositol, creatine, alpha-glucose, alpha-glucose and lactate (P < 0.05), and high concentrations of very low density lipoprotein, low density lipoprotein, unsaturated lipid, formate, acetone, acetate, acetoacetate, pyruvate, beta-hydroxybutyrate, carnitine and malonic acid (P < 0.05), with no significant differences between the phlegm - stasis and abnormal Savda syndrome patients. Conclusions: Neoplasm patients with different syndromes have very similar metabolic changes. A series of abnormalities such as immune dysfunction and oxidative - antioxidative imbalance, occur in neoplasm patients with abnormal Savda or phlegm - stasis syndrome.

Key words: Phlegm stasis; Abnormal Savda; Traditional; medicine; Metabonomics

Cite this article

Mamtimin Batur, Upur Halmurat, Fu-Hua Hao, Rena Aiziz, Matsidik Aynur. Correlative analysis of neoplasm patients with phlegm-stasis or abnormal Savda syndrome, based on metabonomics[J]. Journal of Traditional Chinese Medicine, 2012, 32(01): 119-124.