Proteomic analysis of human ovaries from normal and polycystic ovarian syndrome

Polycystic ovary syndrome (PCOS) is the most common cause of anovulatory infertility, affecting 5-10% of females of reproductive age. Currently, little is known about the changes in whole proteins between PCOS and normal ovaries. In the present study, a proteomic approach comprised two-dimensional gel electrophoresis (2DE) analysis and mass spectroscopy was used to identify proteins and examine expression patterns in three PCOS and normal ovaries. One hundred and ten protein spots were separated and showed different intensities between PCOS and normal ovaries. Sixty-nine proteins associated with cellular metabolism and physiological process were identified from 72 spots. Fifty-four proteins were up-regulated in PCOS ovaries and 15 other proteins were up-regulated in normal ovaries. These data demonstrate, for the first time, the complexity in the regulation of ovarian protein expression in human PCOS, and will provide important insight for a better understanding of the pathogenetic mechanisms underlying this clinical disorder.