Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2015 (2015), Article ID 576306, 8 pages
http://dx.doi.org/10.1155/2015/576306
Research Article

Glycated Albumin Levels in Patients with Type 2 Diabetes Increase Relative to HbA1c with Time

1Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 120-752, Republic of Korea
2Severance Hospital, Seoul, Republic of Korea
3Severance Executive Healthcare Clinic, Yonsei University Health System, Seoul, Republic of Korea

Received 25 June 2015; Revised 29 August 2015; Accepted 9 September 2015

Academic Editor: Yoshifumi Saisho

Copyright © 2015 Hye-jin Yoon et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. K. Lee, S. O. Song, K. J. Kim et al., “Glycemic effectiveness of metformin-based dual-combination therapies with sulphonylurea, pioglitazone, or DPP4-inhibitor in drug-naïve Korean type 2 diabetic patients,” Diabetes & Metabolism Journal, vol. 37, no. 6, pp. 465–474, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. American Diabetes Association, “Standards of medical care in diabetes—2014,” Diabetes Care, vol. 37, supplement 1, pp. S14–S80, 2014. View at Google Scholar
  3. UK Prospective Diabetes Study (UKPDS) Group, “Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33),” The Lancet, vol. 352, no. 9131, pp. 837–853, 1998. View at Publisher · View at Google Scholar · View at Scopus
  4. E. J. Lee, Y. J. Kim, T. N. Kim et al., “A1c variability can predict coronary artery disease in patients with type 2 diabetes with mean A1c levels greater than 7,” Endocrinology and Metabolism, vol. 28, no. 2, pp. 125–132, 2013. View at Publisher · View at Google Scholar
  5. K. J. Kim and B.-W. Lee, “The roles of glycated albumin as intermediate glycation index and pathogenic protein,” Diabetes & Metabolism Journal, vol. 36, no. 2, pp. 98–107, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. D. Kim, K. J. Kim, J. H. Huh et al., “The ratio of glycated albumin to glycated haemoglobin correlates with insulin secretory function,” Clinical Endocrinology, vol. 77, no. 5, pp. 679–683, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. E. Y. Lee, B.-W. Lee, D. Kim et al., “Glycated albumin is a useful glycation index for monitoring fluctuating and poorly controlled type 2 diabetic patients,” Acta Diabetologica, vol. 48, no. 2, pp. 167–172, 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. S. O. Song, K. J. Kim, B.-W. Lee, E. S. Kang, B. S. Cha, and H. C. Lee, “Serum glycated albumin predicts the progression of carotid arterial atherosclerosis,” Atherosclerosis, vol. 225, no. 2, pp. 450–455, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Madsbad, O. K. Faber, C. Binder, P. McNair, C. Christiansen, and I. Transbøl, “Prevalence of residual beta-cell function in insulin-dependent diabetics in relation to age at onset and duration of diabetes,” Diabetes, vol. 27, supplement 1, pp. 262–264, 1978. View at Publisher · View at Google Scholar · View at Scopus
  10. C. C. Jensen, M. Cnop, R. L. Hull, W. Y. Fujimoto, and S. E. Kahn, “β-cell function is a major contributor to oral glucose tolerance in high-risk relatives of four ethnic groups in the U.S,” Diabetes, vol. 51, no. 7, pp. 2170–2178, 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. H. Lee, M. H. Kown, K. J. Kim et al., “Inverse association between glycated albumin and insulin secretory function may explain higher levels of glycated albumin in subjects with longer duration of diabetes,” PLoS ONE, vol. 9, no. 9, Article ID e108772, 2014. View at Publisher · View at Google Scholar
  12. M. J. L. Hare, J. E. Shaw, and P. Z. Zimmet, “Current controversies in the use of haemoglobin A1c,” Journal of Internal Medicine, vol. 271, no. 3, pp. 227–236, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. Y. Saisho, K. Tanaka, T. Abe, T. Kawai, and H. Itoh, “Lower beta cell function relates to sustained higher glycated albumin to glycated hemoglobin ratio in Japanese patients with type 2 diabetes,” Endocrine Journal, vol. 61, no. 2, pp. 149–157, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. T. Suwa, A. Ohta, T. Matsui et al., “Relationship between clinical markers of glycemia and glucose excursion evaluated by continuous glucose monitoring (CGM),” Endocrine Journal, vol. 57, no. 2, pp. 135–140, 2010. View at Publisher · View at Google Scholar · View at Scopus
  15. K. Yoshiuchi, M. Matsuhisa, N. Katakami et al., “Glycated albumin is a better indicator for glucose excursion than glycated hemoglobin in type 1 and type 2 diabetes,” Endocrine Journal, vol. 55, no. 3, pp. 503–507, 2008. View at Publisher · View at Google Scholar · View at Scopus
  16. Y. Saisho, K. Tanaka, T. Abe, A. Shimada, T. Kawai, and H. Itoh, “Glycated albumin to glycated hemoglobin ratio reflects postprandial glucose excursion and relates to beta cell function in both type 1 and type 2 diabetes,” Diabetology International, vol. 2, no. 3, pp. 146–153, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. W. Kim, K. J. Kim, B.-W. Lee, E. S. Kang, B. S. Cha, and H. C. Lee, “The glycated albumin to glycated hemoglobin ratio might not be associated with carotid atherosclerosis in patients with type 1 diabetes,” Diabetes & Metabolism Journal, vol. 38, no. 6, pp. 456–463, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Koga, J. Murai, H. Saito, and S. Kasayama, “Glycated albumin and glycated hemoglobin are influenced differently by endogenous insulin secretion in patients with type 2 diabetes,” Diabetes Care, vol. 33, no. 2, pp. 270–272, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. Okuno, H. Komada, K. Sakaguchi et al., “Postprandial serum C-peptide to plasma glucose concentration ratio correlates with oral glucose tolerance test- and glucose clamp-based disposition indexes,” Metabolism: Clinical and Experimental, vol. 62, no. 10, pp. 1470–1476, 2013. View at Publisher · View at Google Scholar · View at Scopus
  20. E. Y. Lee, S. Hwang, S. H. Lee et al., “Postprandial C-peptide to glucose ratio as a predictor of beta-cell function and its usefulness for staged management of type 2 diabetes,” Journal of Diabetes Investigation, vol. 5, no. 5, pp. 517–524, 2014. View at Publisher · View at Google Scholar · View at Scopus