[Protein expression profilings of polycystic ovary syndrome].
OBJECTIVE
To screen out serum protein profiling of polycystic ovary syndrome(PCOS) by surface-enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF MS) for discovering the discriminatory proteins.


METHODS
Thirty one women with PCOS and thirty healthy women were detected by Weak Cation Exchange(WCX2)chip. ProteinChip reader and Biomarker Wizard software from Ciphergen Inc were combined with a bioinformatics method (support vector machines, SVM ) to analyze protein fingerprinting.


RESULTS
There were 4 proteins which were obviously different between the PCOS group and the control. Three of them were up-regulated, and one down-regulated. To set up a analysis model by SVM using the 4 proteins could successfully distinguish between PCOS and the normal control. The corresponding sensitivity, specificity and positive predict value were 86.7%, 83.3%, 87.2%, respectively.


CONCLUSIONS
Using ProteinChip technology can screen out serum discriminatory proteins quickly and efficiently. Combined with SVM, an optimal fingerprinting model has been set up, which can easily predict PCOS. In disease state of PCOS, there are significant variations which consist of four proteins. To investigate those four discriminatory proteins, especially the protein m/z 6 628 may be of benefit to pathogenic study and the development of biomarkers for PCOS.
Zhao
Shu-yun
SY
Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100083, China.
Qiao
Jie
J
Li
Mei-zhi
MZ
D000328:Adult; D005260:Female; D006801:Humans; D010449:Peptide Mapping; D011085:Polycystic Ovary Syndrome / Q000235:genetics* / Q000378:metabolism*; D040081:Protein Array Analysis; D025941:Protein Interaction Mapping; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization