title: Identification of candidate biomarkers for the prediction of gestational diabetes mellitus in the early stages of pregnancy using iTRAQ quantitative proteomics.
abstract: Gestational diabetes mellitus (GDM) is one of the most common medical problems of pregnancy. This study is designed to identify serum biomarkers, which can predict the subsequent development of GDM at early stages.
  
  
  
  Maternal blood was obtained prospectively from pregnant women at 12-16 wk of pregnancy. Among these, 30 women were subsequently diagnosed with GDM at 24 to 28 wk and were selected as case studies along with 30 normoglycemic women as controls. Serum samples were analyzed by using iTRAQ analysis.
  
  
  
  Thirty three differentially expressed proteins were identified between case and control groups. They were involved in various signaling processes previously implied in GDM. Of which four proteins, i.e. apolipoprotein E, coagulation factor IX, fibrinogen alpha chain, and insulin-like growth factor-binding protein 5 were successfully verified by ELISA. Combinations of these four proteins, the area under the receiver operating characteristic curve, sensitivity, and specificity were 0.985, 80% and 95%, respectively.
  
  
  
  The results highlight the roles of complement system, inflammatory and immune response, and blood coagulation in the pathogenesis of GDM. The panel of four candidate proteins could distinguish women subsequently developed with GDM from controls with high sensitivity and specificity.
authors.affiliation: Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, P. R. China.|Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, P. R. China.
authors.forename: Danqing
authors.initials: D
authors.lastname: Zhao
authors.affiliation: College of Life Science and Oceanography, Shenzhen University, Shenzhen, P. R. China.
authors.forename: Liming
authors.initials: L
authors.lastname: Shen
authors.affiliation: School of Public Health, Guizhou Medical University, Guiyang, P. R. China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Wei
authors.affiliation: Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, P. R. China.
authors.forename: Jiaming
authors.initials: J
authors.lastname: Xie
authors.affiliation: Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, P. R. China.
authors.forename: Shuqiang
authors.initials: S
authors.lastname: Chen
authors.affiliation: Department of Obstetrics and Gynecology, Affiliated Hospital of Guizhou Medical University, Guiyang, P. R. China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Liang
authors.affiliation: College of Life Science and Oceanography, Shenzhen University, Shenzhen, P. R. China.
authors.forename: Youjiao
authors.initials: Y
authors.lastname: Chen
authors.affiliation: Department of General Surgery, the Second Affiliated Hospital of Soochow University, Suzhou, P. R. China.
authors.forename: Haorong
authors.identifier: 0000-0003-0074-8556
authors.initials: H
authors.lastname: Wu
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood / Q000378:metabolism; D001798:Blood Proteins / Q000378:metabolism*; D016022:Case-Control Studies; D016640:Diabetes, Gestational / Q000097:blood / Q000378:metabolism*; D005260:Female; D006801:Humans; D013058:Mass Spectrometry; D011247:Pregnancy; D040901:Proteomics; D014357:Trypsin / Q000378:metabolism
chemical_list: D015415:Biomarkers; D001798:Blood Proteins; D014357:Trypsin
keywords: Biomarkers; Gestational diabetes mellitus; Proteomics; Serum; iTRAQ