The main purpose of this study was to investigate the protective effects of total isoflavones from Radix Puerariae (PTIF) in diabetic rats. Diabetes was induced by a high-fat diet and intraperitoneal injection of low-dose streptozotocin (STZ; 40 mg/kg). At 26 weeks onwards, PTIF 421 mg/kg was administrated to the rats once daily consecutively for 10 weeks. Metabolic profiling changes were analyzed by Ultraperformance Liquid Chromatography-Quadrupole-Exactive Orbitrap-Mass Spectrometry (UPLC-Q-Exactive Orbitrap-MS). The principal component discriminant analysis (PCA-DA), partial least-squares discriminant analysis (PLS-DA), and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used for multivariate analysis. Moreover, free amino acids in serum were determined by high-performance liquid chromatography with fluorescence detector (HPLC-FLD). Additionally, oxidative stress and inflammatory cytokines were evaluated. Eleven potential metabolite biomarkers, which are mainly related to the coagulation, lipid metabolism, and amino acid metabolism, have been identified. PCA-DA scores plots indicated that biochemical changes in diabetic rats were gradually restored to normal after administration of PTIF. Furthermore, the levels of BCAAs, glutamate, arginine, and tyrosine were significantly increased in diabetic rats. Treatment with PTIF could regulate the disturbed amino acid metabolism. Consequently, PTIF has great therapeutic potential in the treatment of DM by improving metabolism disorders and inhibiting oxidative damage.
Pubmed ID: 27042190 RIS Download
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
Software that provides guidelines for the whole process of metabolomic data interpretation, from data pre-processing, to dataset exploration and visualization, to identification of potentially interesting metabolites. Guidelines outline the following processes: preprocessing of high-throughput data (normalization and scalings); principal component analysis with help tool for choosing best-separating principal components and automatic testing for outliers; automatic univariate analysis for parametric and non-parametric data, with generation of specific reports (volcano and box plots); partial least square discriminant analysis (PLS-DA); orthogonal partial least square discriminant analysis (OPLS-DA); Statistical Total Correlation Spectroscopy (STOCSY); and Ratio Analysis Nuclear Magnetic Resonance (NMR) Spectroscopy (RANSY).
View all literature mentionsA software which acquires and processes data sets, primarily through the Xcalibur system.
View all literature mentions