TY - JOUR
AU - Chang,, Xiao-Hong
AB - Background: We investigated possible biomarkers for endometriosis (EM) using the ClinProt technique and proteomics methods. Methods: We enrolled 50 patients with EM, 34 with benign ovarian neoplasms and 40 healthy volunteers in this study. Serum proteomic spectra were generated by matrix-assisted laser desorption/ionization time-of-fl ight mass spectrometry (MS) combined with weak cationic exchange (WCX) magnetic beads. Possible biomarkers were analyzed by a random and repeat pattern model-validation method that we designed, and ClinProtools software, results were refi ned using online liquid chromatography-tandem MS. Results: We found a cluster of 5 peptides (4210, 5264, 2660, 5635, and 5904 Da), using 3 peptides (4210, 5904, 2660 Da) to discriminate EM patients from healthy volunteers, with 96.67% sensitivity and 100% specifi city. We selected 4210 and 5904 m/z, which differed most between patients with EM and controls, and identifi ed them as fragments of ATP1B4, and the fi brinogen alpha (FGA) isoform 1/2 of the FGA chain precursor, respectively. Conclusions: ClinProt can identify EM biomarkers, which – most notably – distinguish even early-stage or minimal disease. We found 5 stable peaks at 4210, 5264, 2660, 5635, and 5904 Da as potential EM biomarkers, the strongest of which were associated with ATP1B4 (4210 
TI - Identification of Biomarkers for Endometriosis Using Clinical Proteomics
JO - Chinese Medical Journal
DO - 10.4103/0366-6999.151108
DA - 2015-02-01
UR - https://www.deepdyve.com/lp/wolters-kluwer-health/identification-of-biomarkers-for-endometriosis-using-clinical-Lr5bbMz36h
SP - 520
VL - 128
IS - 4
DP - DeepDyve
ER -