Systemic perturbations of key metabolites in diabetic rats during the evolution of diabetes studied by urine metabonomics

PLoS One. 2013;8(4):e60409. doi: 10.1371/journal.pone.0060409. Epub 2013 Apr 3.

Abstract

Background: Elucidation of metabolic profiles during diabetes progression helps understand the pathogenesis of diabetes mellitus. In this study, urine metabonomics was used to identify time-related metabolic changes that occur during the development of diabetes mellitus and characterize the biochemical process of diabetes on a systemic, metabolic level.

Methodology/principal findings: Urine samples were collected from diabetic rats and age-matched controls at different time points: 1, 5, 10, and 15 weeks after diabetes modeling. (1)H nuclear magnetic resonance ((1)H NMR) spectra of the urine samples were obtained and analyzed by multivariate data analysis and quantitative statistical analysis. The metabolic patterns of diabetic groups are separated from the controls at each time point, suggesting that the metabolic profiles of diabetic rats were markedly different from the controls. Moreover, the samples from the diabetic 1-wk group are closely associated, whereas those of the diabetic 15-wk group are scattered, suggesting that the presence of various of complications contributes significantly to the pathogenesis of diabetes. Quantitative analysis indicated that urinary metabolites related to energy metabolism, tricarboxylic acid (TCA) cycle, and methylamine metabolism are involved in the evolution of diabetes.

Conclusions/significance: The results highlighted that the numbers of metabolic changes were related to diabetes progression, and the perturbed metabolites represent potential metabolic biomarkers and provide clues that can elucidate the mechanisms underlying the generation and development of diabetes as well as its complication.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biomarkers / urine
  • Blood Urea Nitrogen
  • Creatinine / urine
  • Diabetes Mellitus, Experimental / physiopathology
  • Diabetes Mellitus, Experimental / urine*
  • Discriminant Analysis
  • Disease Progression
  • Least-Squares Analysis
  • Male
  • Metabolomics*
  • Rats
  • Rats, Sprague-Dawley
  • Urea / urine
  • Uric Acid / urine

Substances

  • Biomarkers
  • Uric Acid
  • Urea
  • Creatinine

Grant support

This work was supported by the National Natural Science Foundation of China (Nos. 21175099 and 81171306), Zhejiang Provicial Project of Key Scientific Group (2010R50042), the Medicine and Health Special Foundation of Zhejiang Province (2010QNA016). The funder(s) supported the rats and reagents in this study.