Identification of diabetes- and obesity-associated proteomic changes in human spermatozoa by difference gel electrophoresis

• Published in: Reproductive biomedicine online 2009-11, Vol.19 (5), p.660-670
• Main Authors: Kriegel, Thomas M, Heidenreich, Falk, Kettner, Karina, Pursche, Theresia, Hoflack, Bernard, Grunewald, Sonja, Poenicke, Kerstin, Glander, Hans-Juergen, Paasch, Uwe
• Format: Article
• Language: English
• Subjects: Diabetes Mellitus, Type 1 - complications; Diabetes Mellitus, Type 1 - genetics; Diabetes Mellitus, Type 1 - metabolism; DIGE; Electrophoresis, Polyacrylamide Gel; human spermatozoa; Humans; Image Processing, Computer-Assisted; Infertility, Male - complications; Infertility, Male - metabolism; Male; Mass Spectrometry; obesity; Obesity - complications; Obesity - genetics; Obesity - metabolism; Obstetrics and Gynecology; Proteome - metabolism; proteomics; Proteomics - methods; Semen - metabolism; Spermatozoa - metabolism; type 1 diabetes
• ISSN: 1472-6483; 1472-6491
• DOI: 10.1016/j.rbmo.2009.07.001

Abstract Difference gel electrophoresis (DIGE) of fluorescently labelled human sperm proteins was used to identify diabetes- and obesity-associated changes of the sperm proteome. Semen samples from type 1 diabetics, non-diabetic obese individuals and a reference group of clinically healthy fertile donors were evaluated in a comparative study. The adaptation of a general protein extraction procedure to the solubilization of proteins from isolated progressively motile human spermatozoa resulted in the detection of approximately 2700 fluorescent protein spots in the DIGE images. Comparison of the patients’ sperm proteomes with those of the reference group allowed the identification of 20 spots containing proteins that were present in the sperm lysates at significantly increased or decreased concentrations. In detail, eight of these spots were apparently related to type 1 diabetes while 12 spots were apparently related to obesity. Tryptic digestion of the spot proteins and mass spectrometric analysis of the corresponding peptides identified seven sperm proteins apparently associated with type 1 diabetes and nine sperm proteins apparently associated with obesity, three of which existing in multiple molecular forms. The established proteomic approach is expected to function as a non-invasive experimental tool in the diagnosis of male infertility and in monitoring any fertility-restoring therapy.