title: New serum biomarkers for detection of tuberculosis using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry.
abstract: BACKGROUND
  New technologies for the early detection of tuberculosis (TB) are urgently needed. Pathological changes within an organ might be reflected in proteomic patterns in serum. The aim of the present study was to screen for the potential protein biomarkers in serum for the diagnosis of TB using proteomic fingerprint technology.
  
  
  METHODS
  Proteomic fingerprint technology combining protein chips with surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) was used to profile the serum proteins from 50 patients with TB, 25 patients with lung disease other than TB, and 25 healthy volunteers. The protein fingerprint expression of all the serum samples and the resulting profiles between TB and control groups were analyzed with the Biomarker Wizard system.
  
  
  RESULTS
  A total of 30 discriminating m/z peaks were detected that were related to TB (p<0.01). The model of biomarkers constructed by the Biomarker Patterns Software based on the three biomarkers (2024, 8007, and 8598 Da) generated excellent separation between the TB and control groups. The sensitivity was 84.0% and the specificity was 86.0%. Blind test data indicated a sensitivity of 80.0% and a specificity of 84.2%.
  
  
  CONCLUSIONS
  The data suggested a potential application of SELDI-TOF MS as an effective technology to profile serum proteome, and with pattern analysis, a diagnostic model comprising three potential biomarkers was indicated to differentiate people with TB and healthy controls rapidly and precisely.
authors.affiliation: Institute of Cell Biology, Zhejiang University, Hangzhou, PR China.
authors.forename: Ji-Yan
authors.initials: JY
authors.lastname: Liu
authors.forename: Lei
authors.initials: L
authors.lastname: Jin
authors.forename: Meng-Yuan
authors.initials: MY
authors.lastname: Zhao
authors.forename: Xin
authors.initials: X
authors.lastname: Zhang
authors.forename: Chi-Bo
authors.initials: CB
authors.lastname: Liu
authors.forename: Yu-Xiang
authors.initials: YX
authors.lastname: Zhang
authors.forename: Fu-Jian
authors.initials: FJ
authors.lastname: Li
authors.forename: Jian-Min
authors.initials: JM
authors.lastname: Zhou
authors.forename: Hua-Jun
authors.initials: HJ
authors.lastname: Wang
authors.forename: Ji-Cheng
authors.initials: JC
authors.lastname: Li
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood*; D001798:Blood Proteins / Q000032:analysis*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D040901:Proteomics; D012015:Reference Standards; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D014376:Tuberculosis / Q000097:blood*
chemical_list: D015415:Biomarkers; D001798:Blood Proteins