OBJECTIVE： To provide existence of abnormal potential evidence for the Savda, we assessed host metabonomic responses and dynamic changes oc- curring in various diseases using 1H nuclear mag- netic resonance （NMR）-based metabonomics. METHODS： Plasma samples taken from patients with complicated diseases with abnormal Savda （n= 140, including 35 cases each of diabetes, asthma, breast cancer, and cervical carcinoma） and from healthy controls （n=35） were analyzed by ~H NMR （600 MHz）, and the spectral profiles were analyzed by multivariate analysis using orthogonal projec- tion to latent structure with discriminant analysis. RESULTS： Supervised modeling of the data provid- ed very good discrimination between patients and healthy controls. Compared with ,the healthy controls, the patient groups with different disease con- ditions displayed similar metabolic changes, characterized by lower creatine, creatinine, lactate, and amino acid levels （including isoleucine, leucine, va- line, alanine, and 1-methylhistidine） and higher lip- id levels （very low-density lipoproteins and unsatu- rated lipids）. Additionally, cancer patients （breast and cervical） showed decreased myo-inositol, a-glucose, and 13-glucose, and increased pyruvate and carnitine in plasma. CONCLUSION： The data indicate that decreased ox- idative defense, liver function abnormalities, amino acid deficiencies, and energy metabolism disorders are common characteristics of complicated diseas- es, which may be related to the formation of abnor- mal Savda.
OBJECTIVE: To investigate metabolic signatures in plasma of cancer patients with abnormal Savda using plasma-free amino acid profiles, and to evaluate the diagnostic potential of these profiles for the detection and explanation of the mechanisms of different symptoms in traditional Uyghur medicine.METHODS: Plasma samples from cancer patients with abnormal Savda(n=85) or non-abnormal Savda(n=105) and a healthy control group(n=65)were analyzed using high-performance liquid chromatography(HPLC). Orthogonal projection to latent structures with discriminant analysis was used for the classification and prediction of abnormal Savda, and spectral profiles were subjected to Student's t-tests to assess statistical significance.RESULTS: Compared with the healthy group, the levels of aspartic acid, glutamate, glycine, histidine,arginine, threonine, alanine, proline, methionine,isoleucine, leucine and phenylalanine decreased significantly in plasma of cancer patients with abnormal Savda(all P<0.05). Serine, cystine, tyrosine,valine and lysine levels showed no significant differences(all P>0.05). Compared with non-abnormal Savda syndrome patients, abnormal Savda syndrome patients showed high concentrations of glutamate, serine, valine, isoleucine, leucine and phenylalanine(all P<0.05). The remaining plasma amino acids showed no significant differences(all P>0.05).CONCLUSION: Plasma-free amino acid profiling has the potential to assist in understanding and determining abnormal Savda. A HPLC-based metabonomic platform could be a powerful tool for the classification of symptoms in traditional medicine.
