XU Weifang;UPUR Halmurat;LI Fengsen;MAMTIMIN Batur;YANG Jian;AIZEZI Renaguli;WU Xiaohua;GA Lijuan
This paper studies the metabonomics change of COPD of the TCM types and the TUM types,through identifying the metabolic biological markers of the TCM kidney empty-phlegm-stasis syndrome and the Uygur medical abnormal savda syndrome, to guide the clinical diagnosis of COPD, and to provide some new ideas and methods. (1) A total of 105 cases of patients with COPD, diagnosed according to western medicine diagnosis classification, were chosen and divided two groups according to the TCM and the Uygur medicine on syndrome differentiation and classification. Meanwhile, a total of 52 healthy volunteers were chosen as the normal control group, from the medical center of the affiliated hospital of Chinese medicine, Xinjiang Medical University. (2) All blood samples of the subjects were tested through utilizing the NMR metabonomics; (3) The plasma 1H NMR spectra were analyzed using the orthogonal projection to the latent structure and the discriminant analysis (OPLS-DA) method with unit variance scaling. The discriminative significance of the metabolites was determined using the Pearson's product-moment correlation coefficient. 1H-NMR spectrum and 2D pattern recognition in the analysis show that for the COPD patients of the Kidney empty-phlegm-stasis syndrome group, and the abnormal savda syndrome in the normal control group, respectively, their distribution areas are separated completely, the metabolic components of plasma of the two group have a significant difference; but the metabolic components of the kidney empty-phlegm-stasis syndrome group and the abnormal black savda patients are not statistically different (P>0.05). The metabolism including the isoleucine, the leucine, the valine, the alanine, the tyrosine, the glutamine, the pheny-lalanine, is significantly reduced in level, and the lactic acid, the glycoprotein VLDL and the unsaturated fat are also significantly reduced. The carnitine is relatively higher, with a difference not statistically significant (P>0.05). Extremely low density lipoprotein plasma VLDL, the unsaturated lipid and acetone of the COPD kidney-empty-phlegm-stasis syndrome patients and the abnormal black savda patients are lower, but with a difference not statistically significant (P>0.05). So there are 14 kinds of the metabolites, which would expect to be serum specific biomarkers of the COPD kidney-empty-phlegm-stasis syndrome patients and abnormal savda patients. The results indicate that (1) the metabonomics change and the metabolic phenotype of the COPD with the kidney empty-phlegm-stasis syndrome and the abnormal savda syndrome are outstanding but similar, and also with common biomarkers, the material metabolic disorder, the low body's immune function, the endocrine disorders and the energy metabolism disorder are evident; (2) the metabonomics common features of the COPD with the TCM and the Uygur syndrome further reflect the interoperability of the two kinds of medical models of Chinese medicine, Uygur medicine and modern medicine about COPD; the COPD of syndrome differentiation would be more objective and more standard.
