Animal Proteomics

Analysis of mouse skin reveals proteins that are altered in a diet-induced diabetic state: A new method for detection of type 2 diabetes

  1. Edward O. List Dr.1,*,
  2. Darlene E. Berryman2,
  3. Amanda J. Palmer1,2,
  4. Linghua Qiu1,
  5. Sudha Sankaran1,
  6. Doug T. Kohn1,
  7. Bruce Kelder1,
  8. Shigeru Okada1,
  9. John J. Kopchick1,3

Article first published online: 27 MAR 2007

DOI: 10.1002/pmic.200600641

Issue

PROTEOMICS

PROTEOMICS

Volume 7, Issue 7, pages 1140–1149, No. 7 April 2007

Additional Information

How to Cite

List, E. O., Berryman, D. E., Palmer, A. J., Qiu, L., Sankaran, S., Kohn, D. T., Kelder, B., Okada, S. and Kopchick, J. J. (2007), Analysis of mouse skin reveals proteins that are altered in a diet-induced diabetic state: A new method for detection of type 2 diabetes. PROTEOMICS, 7: 1140–1149. doi: 10.1002/pmic.200600641

Author Information

  1. 1

    Edison Biotechnology Institute, Ohio University, Athens, OH, USA

  2. 2

    Human and Consumer Sciences, Ohio University, Athens, OH, USA

  3. 3

    Department of Biomedical Sciences, College of Osteopathic Medicine, Ohio University, Athens, OH, USA

*Edison Biotechnology Institute, Ohio University, 101 Konneker Research Laboratories, The Ridges, Athens, OH 45701 Fax: +1-740-593-4975

Publication History

  1. Issue published online: 27 MAR 2007
  2. Article first published online: 27 MAR 2007
  3. Manuscript Received: 21 AUG 2006

Funded by

  • State of Ohio's Eminent Scholar program. Grant Number: NIH-NIDDK- DK064905
  • The Michigan Life Sciences Corridor

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Keywords:

  • Creatine kinase;
  • Diabetes;
  • Obesity;
  • Skin

Abstract

In this study, proteomic analysis was performed on the skin of C57BL/6J mice with type 2 diabetes and compared to nondiabetic controls. To induce obesity and subsequent diabetes, mice were placed on a high-fat diet for 16 wk. After 16 wk, both diabetic and nondiabetic control mice were sacrificed and their skin removed for analysis. Following 2-DE, proteomic profiles from the skin samples were quantified using PDQuest software. Out of more than 1000 distinct protein spots, 28 were shown to be significantly altered with 6 being decreased and 22 increased in the diabetic state compared to controls. The 28 protein spots were removed from the gels and analyzed by MALDI-TOF and MS/MS analyses. Protein identifications revealed that 17 of the 28 proteins were involved in energy metabolism (60.7% of changes observed). Collectively, none of the significantly altered proteins had been shown previously to be altered in diabetic skin. This study not only helps to identify proteins found in skin samples of obese mice with type 2 diabetes, but also shows that skin biopsies coupled with proteomic analysis may be useful as a noninvasive method for the diagnosis of hyperinsulinemia and diabetes.

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