title: Discovery of distinct protein profiles for polycystic ovary syndrome with and without insulin resistance by surface-enhanced laser adsorption/ionization time of flight mass spectrometry.
abstract: OBJECTIVE
  To screen the serum protein expression profiles in patients having polycystic ovary syndrome (PCOS) with or without insulin resistance (IR) and search for discriminatory proteins.
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  Reproductive Center of Peking University Third Hospital.
  
  
  METHODS
  Thirty patients with PCOS with IR, 30 patients with PCOS without IR, and 30 control individuals.
  
  
  METHODS
  Fasting serum samples.
  
  
  METHODS
  Serum protein peak spectrum.
  
  
  RESULTS
  There were 27 differential protein peaks between patients with PCOS and IR and controls, 17 between patients with PCOS without IR and controls, and 19 between patients with PCOS and IR and patients without IR. Marker proteins from differentially expressed proteins were screened out with use of a support vector machine and were used to establish three diagnostic models for PCOS IR, PCOS non-IR, and IR, respectively.
  
  
  CONCLUSIONS
  There were statistically significantly different serum proteomic patterns in different types of PCOS. With use of ProteinChip combined with the support vector machine, computer diagnostic models for PCOS with and without IR were set up quickly and efficiently. These discriminatory proteins may help us understand the proteomic changes in serum and find out potential biomarkers of PCOS and IR.
authors.affiliation: Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, People's Republic of China.
authors.forename: Shuyun
authors.initials: S
authors.lastname: Zhao
authors.forename: Jie
authors.initials: J
authors.lastname: Qiao
authors.forename: Meizhi
authors.initials: M
authors.lastname: Li
authors.forename: Xiaowei
authors.initials: X
authors.lastname: Zhang
authors.forename: Jiekai
authors.initials: J
authors.lastname: Yu
authors.forename: Rong
authors.initials: R
authors.lastname: Li
mesh_terms: D000328:Adult; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007333:Insulin Resistance / Q000502:physiology*; D011085:Polycystic Ovary Syndrome / Q000097:blood*; D040081:Protein Array Analysis / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*