title: The potential biomarkers for thromboembolism detected by SELDI-TOF-MS.
abstract: BACKGROUND
  Few studies were concerned about searching for specific biomarkers for thromboembolic (arterial and venous) diseases by the use of Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS).
  
  
  METHODS
  We screened for potential biomarkers in 69 plasma samples, including samples from 20 patients with idiopathetic deep vein thrombosis (DVT), 20 patients with acute myocardial infarction (AMI), and 29 healthy controls without a history of thromboembolism. Pretreated plasma samples were analyzed on the Protein Biology System IIc plus SELDI-TOF-MS (Ciphergen Biosystems, Fremont, CA). Proteomic spectra of mass to charge ratio (m/z) were generated by the application of plasma to immobilized metal affinity capture (IMAC-3) ProteinChip arrays activated with copper.
  
  
  RESULTS
  A pattern of three biomarkers (m/z: 2 667, 5 914, and 6 890 Da, respectively) with a total accuracy of 100% was selected based on their collective contribution to the optimal separation between patients with AMI and healthy controls. Another spattern consisting of only one biomarker (m/z: 5 914 Da) could totally discriminate patients with DVT and control subjects. For further analysis between patients with AMI and those with DVT, a pattern of four biomarkers (m/z: 3 418, 5 271, 33 378, and 68 125 Da, respectively) was selected with a total accuracy of 82.5%.
  
  
  CONCLUSIONS
  Plasma proteomic profiling with SELDI-TOF-MS and ProteinChip technologies provides high sensitivity and specificity in discriminating patients with thrombosis and healthy subjects. The discovered biomarkers might show great potential for early diagnosis of thromboembolic diseases.
authors.affiliation: Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
authors.forename: Mei
authors.initials: M
authors.lastname: Hong
authors.forename: Xiaoping
authors.initials: X
authors.lastname: Zhang
authors.forename: Yu
authors.initials: Y
authors.lastname: Hu
authors.forename: Huafang
authors.initials: H
authors.lastname: Wang
authors.forename: Wenjuan
authors.initials: W
authors.lastname: He
authors.forename: Heng
authors.initials: H
authors.lastname: Mei
authors.forename: Jiekai
authors.initials: J
authors.lastname: Yu
authors.forename: Tao
authors.initials: T
authors.lastname: Guo
authors.forename: Shanjun
authors.initials: S
authors.lastname: Song
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood*; D001774:Blood Chemical Analysis / Q000379:methods / Q000706:statistics & numerical data; D001798:Blood Proteins / Q000032:analysis; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000097:blood / Q000175:diagnosis; D040081:Protein Array Analysis / Q000379:methods / Q000706:statistics & numerical data; D012372:ROC Curve; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods* / Q000706:statistics & numerical data; D013923:Thromboembolism / Q000097:blood* / Q000175:diagnosis*
chemical_list: D015415:Biomarkers; D001798:Blood Proteins