Skip to main content

Advertisement

Log in

Evaluation of the association between retinal binding protein 4 polymorphisms and type 2 diabetes in Chinese by DHPLC

  • Original paper
  • Published:
Endocrine Aims and scope Submit manuscript

Abstract

Serum retinal binding protein 4 (RBP4) was recently described as a new liver- and adipocyte-derived signal that may contribute to Type 2 diabetes mellitus (T2DM) and insulin resistance. The aim of this study was to test whether the RBP4 gene could be used as a genetic marker to predict the development of T2DM amongst the Chinese population of Han. For this study, a normal control group of 115 healthy subjects and an experimental group of 107 patients with T2DM were examined. A combined method of denaturing high-performance liquid chromatography (DHPLC) and sequencing was applied to the detection of the RBP4 gene variants. Two SNPs, rs17484721 and rs36035572, were analyzed. Phenotypes and biochemical indicators related to the metabolism of glucose and lipid were measured. We found that there are significant differences between the control group and the patients group in terms of their respective distributions of genotype and allele frequency. The TG levels of the TT and II genotype was significantly higher than that of the TC + CC and ID + DD, respectively, in both patient group and control group. These findings suggest that the variations in the RBP4 gene may be associated with T2DM and serum triglyeride levels in the Han Chinese.

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.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. http://www.ncbi.nlm.nih.gov/

Reference

  1. Electronic version of Diabetes Atlas. Executive summary, 2nd ed. International Diabetes Federation. (2003). http://www.eatlas.idf.org/webdata/docs/Atlas%202003-Summary.pdf

  2. M. Stumvoll, B.J. Goldstein, T.W. van Haeften, Lancet 365, 1333–1346 (2005)

    Article  CAS  PubMed  Google Scholar 

  3. S.K. Das, S.C. Elbein, Cell Sci. Rev. 2, 1–32 (2006)

    Google Scholar 

  4. L. Hutley, J.B. Prins, Am. J. Med. Sci. 330, 280–289 (2005)

    Article  PubMed  Google Scholar 

  5. Q. Yang, T.E. Graham, N. Mody, F. Preitner, O.D. Peroni, J.M. Zabolotny, K. Kotani, L. Quadro, B.B. Kahn, Nature 436, 356–362 (2005)

    Article  CAS  PubMed  Google Scholar 

  6. Y. Tamori, H. Sakaue, M. Kasuga, Nat. Med. 12(1), 30–31 (2006)

    Article  CAS  PubMed  Google Scholar 

  7. Y.M. Cho, B.S. Youn, H. Lee, N. Lee, S.S. Min, S.H. Kwak, H.K. Lee, K.S. Park, Diabetes Care 29, 2457–2461 (2006)

    Article  CAS  PubMed  Google Scholar 

  8. M. Broch, J. Vendrell, W. Ricart, C. Richart, J.M. Fernandez Real, Diabetes Care 30, 1802–1806 (2007)

    Article  CAS  PubMed  Google Scholar 

  9. T.E. Graham, Q. Yang, M. Bluher, A. Hammarstedt, T.P. Ciaraldi, R.R. Henry, C.J. Wason, A. Oberbach, P.A. Jansson, U. Smith, B.B.N. Kahn, Engl. J. Med. 354(24), 2552–2563 (2006)

    Article  CAS  Google Scholar 

  10. Q. Qi, Z. Yu, X. Ye, F. Zhao, P. Huang, F.B. H u, O.H. Franco, J. Wang, H. Li, Y. Liu, Lin X. Elevated, J. Clin. Endocrinol. Metab. 92(12), 4827–4834 (2007)

    Article  CAS  PubMed  Google Scholar 

  11. A. Ost, A. Danielsson, M. Lidén, FASEB J. 21(13), 3696–3704 (2007)

    Article  PubMed  Google Scholar 

  12. K.S. Polonsky, N. Engl. J. Med. 354, 2596–2598 (2006)

    Article  CAS  PubMed  Google Scholar 

  13. J.B. Meigs, C.I. Panhuysen, R.H. Myers, P.W. Wilson, L.A. Cupples, Diabetes 51, 833–840 (2002)

    Article  CAS  PubMed  Google Scholar 

  14. R. Duggirala, J. Blangero, L. Almasy, T.D. Dyer, K.L. Williams, R.J. Leach, P. O’Connell, M.P. Stern(1999). Am. J. Hum. Genet. 64:1127–1140.

    Google Scholar 

  15. R.L. Craig, W.S. Chu, S.C. Elbein, Mol. Genet. Metab. 90(3), 338–344 (2007)

    Article  CAS  PubMed  Google Scholar 

  16. L. Munkhtulga, K. Nakayama, N. Utsumi, Y. Yanagisawa, T. Gotoh, T. Omi, M. Kumada, B. Erdenebulgan, K. Zolzaya, T. Lkhagvasuren, S. Iwamoto, Hum. Genet. 120(6), 879–888 (2007)

    Article  CAS  PubMed  Google Scholar 

  17. P. Zimmet, Diabetes Care 2, 144–153 (1979)

    Article  CAS  PubMed  Google Scholar 

  18. A.K. Diehl, M.P. Stern, Adv. Intern. Med. 34, 73–96 (1989)

    CAS  PubMed  Google Scholar 

  19. P.M. McKeigue, B. Shah, M.G. Marmot, Lancet 337, 382–386 (1991)

    Article  CAS  PubMed  Google Scholar 

  20. M.A. Banerji, H.E. Lebovitz, Diabetes 38, 784–792 (1989)

    Article  CAS  PubMed  Google Scholar 

  21. P. Arner, T. Pollare, H. Lithell, Diabetologia 34, 483–487 (1991)

    Article  CAS  PubMed  Google Scholar 

  22. A. Taniguchi, Y. Nakai, M. Fukushima, H. Kawamura, H. Imura, I. Nagata, K. Tokuyama, Diabetes 41, 1540–1546 (1992)

    Article  CAS  PubMed  Google Scholar 

  23. A. Hirasawa, K. Tsumaya, T. Awaji, S. Katsuma, T. Adachi, M. Yamada, Y. Sugimoto, S. Miyazaki, G. Tsujimoto, Nat. Med. 11(1), 90–94 (2005)

    Article  CAS  PubMed  Google Scholar 

  24. R. Perfetti, P. Merkel, Eur. J. Endocrinol. 143, 717–725 (2000)

    Article  CAS  PubMed  Google Scholar 

  25. M. Dong, Y.H. Gong , L. Wang, Hereditas (Bejing) 25(2), 205–207 (2003)

    CAS  Google Scholar 

Download references

Acknowledgments

Supported by the grant of National Natural Science Foundation of China (30571014), the grant of platform of Genetic resource of Chinese people project from Ministry of Science and Technology of People’s Republic of China (2003DEA3N026), Program for New Century Excellent Talents in University from Ministry of Education of People’s Republic of China (NCET-05-0885), and the Key project of Science and Technology of Gansu Province (grant No. 2GS064-A43-020-25).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Jing Liu or Xiao-dong Xie.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liu, J., Gao, Jy., Zhang, Jp. et al. Evaluation of the association between retinal binding protein 4 polymorphisms and type 2 diabetes in Chinese by DHPLC. Endocr 34, 23–28 (2008). https://doi.org/10.1007/s12020-008-9097-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12020-008-9097-3

Keywords

Navigation