OBJECTIVE: To provide potential evidence for the existence of abnormal Savda, we assessed host metabonomic responses and dynamic changes occurring in various diseases using1H nuclear magnetic 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 by1H NMR(600 MHz), and the spectral profiles were analyzed by multivariate analysis using orthogonal projection to latent structure with discriminant analysis.RESULTS: Supervised modeling of the data provided very good discrimination between patients and healthy controls. Compared with the healthy controls, the patient groups with different disease conditions displayed similar metabolic changes, characterized by lower creatine, creatinine, lactate, and amino acid levels(including isoleucine, leucine, valine, alanine, and 1-methylhistidine) and higher lipid levels(very low-density lipoproteins and unsaturated lipids). Additionally, cancer patients(breast and cervical) showed decreased myo-inositol,α-glucose, and β-glucose, and increased pyruvate and carnitine in plasma.CONCLUSION:The data indicate that decreased oxidative defense, liver function abnormalities, amino acid deficiencies, and energy metabolism disorders are common characteristics of complicated diseases, which may be related to the formation of abnormal 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.
