Analytical and Bioanalytical Chemistry

, Volume 395, Issue 4, pp 1117–1124 | Cite as

1H-nuclear magnetic resonance spectroscopy-based metabolic assessment in a rat model of obesity induced by a high-fat diet

  • So-Hyun Kim
  • Seung-Ok Yang
  • Hee-Su Kim
  • Yujin Kim
  • Taesun Park
  • Hyung-Kyoon ChoiEmail author
Original Paper


Obesity, whose prevalence is increasing rapidly worldwide, is recognized as a risk factor for diabetes, cardiovascular disease, liver disease, and renal disease. To investigate metabolic changes in the urine of a rat model of obesity induced by a high-fat diet (HFD), rats were divided into the following four groups based on the diet type and degree of weight gain: normal-diet (ND) low gainers, ND high gainers, HFD low gainers, and HFD high gainers. Biochemical analyses of visceral fat-pad weight, plasma, and liver tissues were performed. The 1H-nuclear magnetic resonance (1H-NMR) spectra of urine were analyzed using multivariate statistical analysis to identify the separation of the groups. It was observed that the metabolic profile of urine obtained by 1H-NMR-spectroscopy-based metabolomic analysis differed between ND low gainers and ND high gainers even though these animals consumed the same normal diet. Several key metabolites in urine, such as betaine, taurine, acetone/acetoacetate, phenylacetylglycine, pyruvate, lactate, and citrate contributed to the classification of these two groups. The metabolic profile of urine also differed between ND low gainers and HFD high gainers, which consumed the different diet and showed a different weight gain. This study has identified features of urine metabolites in various groups and demonstrated the reliability of an NMR-based metabolomics approach to investigate the effects of the diet and the physical constitution on obesity.


Intensity of the metabolites (normalized relative to the creatinine intensity) for ND low gainers vs. HFD high gainers. An independent t test was performed to assess the statistical significance between each group. The error bars are expressed as the SEM *P<0.025 vs. each group


1H-NMR High-fat diet Obesity Metabolomics Physical constitution 



This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD; KRF-2007-314-C00319)


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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • So-Hyun Kim
    • 1
  • Seung-Ok Yang
    • 1
  • Hee-Su Kim
    • 1
  • Yujin Kim
    • 1
  • Taesun Park
    • 2
  • Hyung-Kyoon Choi
    • 1
    Email author
  1. 1.College of PharmacyChung-Ang UniversitySeoulRepublic of Korea
  2. 2.Department of Food and NutritionYonsei UniversitySeoulRepublic of Korea

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