Skip to main content
Log in

Metabolomic Profilings of Urine and Serum from High Fat-Fed Rats via 1H NMR Spectroscopy and Pattern Recognition

  • Published:
Applied Biochemistry and Biotechnology Aims and scope Submit manuscript

Abstract

1H NMR spectroscopy in combination with multivariate statistical analysis was applied to explore the metabolic variability in urine and serum of high fat-fed rats relative to normal chow-fed ones. Metabolites contributing to intergroup discrimination identified by partial least squares discriminant analysis include 3-hydroxybutyrate, glutamate, glutamine, citrate, choline, hippurate, alanine, lactate, creatinine, taurine, acetate, etc. The aging effect along with long-term feeding was delineated with metabolic trajectory in principal component analysis score plot and age-related differences on metabolic profiling under different dietary intervention were recognised. The identified metabolites responsible for obesity were all imported into a web tool for network-based interpretation of compound lists to interpret their functional context, molecular mechanisms and disturbed signalling pathway globally and systematically. The results are useful for interpreting the pathology of obesity and further probing into the relationship between dietary-induced obesity and type 2 diabetes mellitus.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Permana, P. A., Del Parigi, A., & Tataranni, P. A. (2004). Nutrition, 20, 134–138.

    Article  CAS  Google Scholar 

  2. Tataranni, P. A., & Ravussin, E. (2002). Handbook of obesity treatment, chapter 3. In T. A. Wadden & A. J. Stunkard (Eds.), Energy metabolism and obesity (pp. 42–72). New York: Guilford Press.

    Google Scholar 

  3. Bouchard, C., & Perusse, L. (1988). Annual Review of Nutrition, 8, 259–277.

    Article  CAS  Google Scholar 

  4. Caballero, B. (2007). Epidemiologic Reviews, 29, 1–5.

    Article  Google Scholar 

  5. Zhao, L. C., Zhang, X. D., Wang, H. Y., & Lin, D. H. (2011). Analytical Letters, 44, 1579–1590.

    Article  CAS  Google Scholar 

  6. Magnani, L. (2001). Minerva Gastroenterologica e Dietologica, 47, 223–228.

    CAS  Google Scholar 

  7. Nicholson, J. K., Lindon, J. C., & Holmes, E. (1999). Xenobiotica, 29, 1181–1189.

    Article  CAS  Google Scholar 

  8. Lindon, J. C., Nicholson, J. K., Holmes, E., & Everett, J. R. (2000). Concepts in Magnetic Resonance, 12, 289–320.

    Article  CAS  Google Scholar 

  9. Feng, J. H., Liu, H. L., Zhang, L. M., Bhakoo, K., & Lu, L. H. (2010). Nanotechnology, 21, 395101.

    Article  Google Scholar 

  10. Calvani, R., Miccheli, A., Capuani, G., Miccheli, A. T., Puccetti, C., Delfini, M., Iaconelli, A., Nanni, G., & Mingrone, G. (2010). International Journal of Obesity, 34, 1095–1098.

    Article  CAS  Google Scholar 

  11. OuYang, D., Xu, J., Huang, H., & Chen, Z. (2011). Applied Biochemistry and Biotechnology, 165, 148–154.

    Article  Google Scholar 

  12. Kim, H. J., Kim, J. H., Noh, S., Hur, H. J., Sung, M. J., Hwang, J. T., Park, J. H., Yang, H. J., Kim, M. S., Kwon, D. Y., & Yoon, S. H. (2011). Journal of Proteome Research, 10, 722–731.

    Article  CAS  Google Scholar 

  13. Williams, R., Lenz, E. M., Wilson, A. J., Granger, J., Wilson, I. D., Major, H., Stumpf, C., & Plumb, R. (2006). Molecular BioSystems, 2, 174–183.

    Article  CAS  Google Scholar 

  14. Toye, A. A., Dumas, M. E., Blancher, C., Rothwell, A. R., Fearnside, J. F., Wilder, S. P., Bihoreau, M. T., Cloarec, O., Azzouzi, I., Young, S., Barton, R. H., Holmes, E., McCarthy, M. I., Tatoud, R., Nicholson, J. K., Scott, J., & Gauguier, D. (2007). Diabetologia, 50, 1867–1879.

    Article  CAS  Google Scholar 

  15. Shearer, J., Duggan, G., Weljie, A., Hittel, D. S., Wasserman, D. H., & Vogel, H. J. (2008). Diabetes, Obesity & Metabolism, 10, 950–958.

    Article  CAS  Google Scholar 

  16. Fearnside, J. F., Dumas, M. E., Rothwell, A. R., Wilder, S. P., Cloarec, O., Toye, A., Blancher, C., Holmes, E., Tatoud, R., Barton, R. H., Scott, J., Nicholson, J. K., & Gauguier, D. (2008). PLoS One, 3, e1668.

    Article  Google Scholar 

  17. Kim, S. H., Yang, S. O., Kim, H. S., Kim, Y., Park, T., & Choi, H. K. (2009). Analytical and Bioanalytical Chemistry, 395, 1117–1124.

    Article  CAS  Google Scholar 

  18. Waldram, A., Holmes, E., Wang, Y. L., Rantalainen, M., Wilson, I. D., Tuohy, K. M., McCartney, A. L., Gibson, G. R., & Nicholson, J. K. (2009). Journal of Proteome Research, 8, 2361–2375.

    Article  CAS  Google Scholar 

  19. Zhang, W., Liu, C. Q., Wang, P. W., Sun, S. Y., Su, W. J., Zhang, H. J., Li, X. J., & Yang, S. Y. (2010). European Journal of Pharmacology, 649, 398–402.

    Article  CAS  Google Scholar 

  20. Nicholson, J. K., Foxall, P. J., Spraul, M., Farrant, R. D., & Lindon, J. C. (1995). Analytical Biochemistry, 67, 793–811.

    CAS  Google Scholar 

  21. Meiboom, S., & Gill, D. (1958). The Review of Scientific Instruments, 29, 688–691.

    Article  CAS  Google Scholar 

  22. Holmes, E., Foxall, P. J. D., Spraul, M., Farrant, R. D., Nicholson, J. K., & Lindon, J. C. (1997). Journal of Pharmaceutical and Biomedical Analysis, 15, 1647–1659.

    Article  CAS  Google Scholar 

  23. Aberg, K. M., Alm, E., & Torgrip, R. J. O. (2009). Analytical and Bioanalytical Chemistry, 394, 151–162.

    Article  CAS  Google Scholar 

  24. de Meyer, T., Sinnaeve, D., Van Gasse, B., Tsiporkova, E., Rietzschel, E. R., de Buyzere, M. L., Gillebert, T. C., Bekaert, S., Martins, J. C., & van Criekinge, W. (2008). Analytical Chemistry, 80, 3783–3790.

    Article  Google Scholar 

  25. Trygg, J., & Wold, S. (2003). Journal of Chemometrics, 17, 53–64.

    Article  CAS  Google Scholar 

  26. Xu, J. J., Yang, S. Y., Cai, S. H., Dong, J. Y., Li, X. J., & Chen, Z. (2010). Analytical and Bioanalytical Chemistry, 396, 1451–1463.

    Article  CAS  Google Scholar 

  27. Zhao, L. C., Zhang, X. D., Liao, S. X., Gao, H. C., Wang, H. Y., & Lin, D. H. (2010). Journal of Biomedicine and Biotechnology, 2010, 431894.

    Google Scholar 

  28. van Doorn, M., Vogels, J., Tas, A., van Hoogdalem, E. J., Burggraaf, J., Cohen, A., & van der Greef, J. (2007). British Journal of Clinical Pharmacology, 63, 562–574.

    Article  Google Scholar 

  29. Timbrell, J. A., Seabra, V., & Waterfield, C. J. (1995). General Pharmacology-the Vascular System, 26, 453–462.

    Article  CAS  Google Scholar 

  30. He, W., Miao, F. J. P., Lin, D. C. H., Schwandner, R. T., Wang, Z., Gao, J., Chen, J. L., Tian, H., & Ling, L. (2004). Nature, 429, 188–193.

    Article  CAS  Google Scholar 

  31. Antonov, A. V., Dietmann, S., Wong, P., & Mewes, H. W. (2009). FEBS Journal, 276, 2084–2094.

    Article  CAS  Google Scholar 

  32. Hooper, S. D., & Bork, P. (2005). Bioinformatics, 21, 4432–4433.

    Article  CAS  Google Scholar 

  33. Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999). Nucleic Acids Research, 27, 29–34.

    Article  CAS  Google Scholar 

  34. Hansen, S. H. (2001). Diabetes/Metabolism Research and Reviews, 17, 330–346.

    Article  CAS  Google Scholar 

  35. Tsuboyama-Kasaoka, N., Shozawa, C., Sano, K., Kamei, Y., Kasaoka, S., Hosokawa, Y., & Ezaki, O. (2006). Endocrinology, 147, 3276–3284.

    Article  CAS  Google Scholar 

  36. Wu, G. Y., & Morris, S. M. (1998). Biochemical Journal, 336, 1–17.

    CAS  Google Scholar 

  37. Garcia-Villafranca, J., Guillen, A., & Castro, J. (2003). Biochemical Pharmacology, 65, 807–812.

    Article  CAS  Google Scholar 

  38. Jobgen, W. J., Meininger, C. J., Jobgen, S. C., Li, P., Lee, M. J., Smith, S. B., Spencer, T. E., Fried, S. K., & Wu, G. Y. (2009). Journal of Nutrition, 139, 230–237.

    Article  CAS  Google Scholar 

  39. Fu, W. J. J., Haynes, T. E., Kohli, R., Hu, J. B., Shi, W. J., Spencer, T. E., Carroll, R. J., Meininger, C. J., & Wu, G. Y. (2005). Journal of Nutrition, 135, 714–721.

    CAS  Google Scholar 

  40. Jobgen, W., Fu, W. J., Gao, H. J., Li, P., Meininger, C. J., Smith, S. B., Spencer, T. E., & Wu, G. Y. (2009). Amino Acids, 37, 187–198.

    Article  CAS  Google Scholar 

  41. Tapiero, H., Mathe, G., Couvreur, P., & Tew, K. D. (2002). Biomedicine and Pharmacotherapy, 56, 446–457.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by the NNSF of China (11074209, 81201143 and 81073113), the Fundamental Research Funds for the Central Universities (2011121046), the Excellent Youth Foundation of Fujian Province (2009D016) and Xiamen Research Platform on Systems Biology of Metabolic Diseases.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Shuhui Cai or Xuejun Li.

Electronic supplementary material

Below is the link to the electronic supplementary material.

ESM 1

(DOC 885 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xu, J., Liu, C., Cai, S. et al. Metabolomic Profilings of Urine and Serum from High Fat-Fed Rats via 1H NMR Spectroscopy and Pattern Recognition. Appl Biochem Biotechnol 169, 1250–1261 (2013). https://doi.org/10.1007/s12010-012-0072-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12010-012-0072-3

Keywords

Navigation