title: Establishing a serologic decision tree model of extrapulmonary tuberculosis by MALDI-TOF MS analysis.
abstract: Matrix-assisted laser desorption-ionization time of flight mass spectrometry (MALDI-TOF MS) combined with weak cationic exchange (WCX) magnetic beads was used to establish a decision tree model that distinguished extrapulmonary tuberculosis (EPTB) from non-EPTB individuals. Eight-one patients with EPTB and 112 non-EPTB individuals (72 disease controls and 40 healthy controls) were involved in this study. The model was set up by 5 of 19 differentially expressed peaks (P < 0.05), m/z 4100, 4310, 6093, 8605, and 14,019. This model can discriminate patients with EPTB from non-EPTB with a sensitivity of 97.7% and a specificity of 84.1%. The test set verified that this model had good sensitivity and specificity: 94.4% and 83.6%, respectively. In conclusion, MALDI-TOF MS combined with WCX magnetic beads is a powerful technology for constructing a decision tree model and the model we built could serve as a potential diagnostic tool for EPTB.
authors.affiliation: Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
authors.forename: Chuiwen
authors.initials: C
authors.lastname: Deng
authors.forename: Minggui
authors.initials: M
authors.lastname: Lin
authors.forename: Chaojun
authors.initials: C
authors.lastname: Hu
authors.forename: Yanfeng
authors.initials: Y
authors.lastname: Li
authors.forename: Yang
authors.initials: Y
authors.lastname: Gao
authors.forename: Xiaoxing
authors.initials: X
authors.lastname: Cheng
authors.forename: Fengchun
authors.initials: F
authors.lastname: Zhang
authors.forename: Mei
authors.initials: M
authors.lastname: Dong
authors.forename: Yongzhe
authors.initials: Y
authors.lastname: Li
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000032:analysis; D001798:Blood Proteins / Q000032:analysis; D019411:Clinical Laboratory Techniques / Q000379:methods; D019295:Computational Biology; D003663:Decision Trees; D005260:Female; D006801:Humans; D018189:Immunomagnetic Separation / Q000379:methods; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D040901:Proteomics / Q000379:methods; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D014376:Tuberculosis / Q000145:classification* / Q000175:diagnosis* / Q000473:pathology; D055815:Young Adult
chemical_list: D015415:Biomarkers; D001798:Blood Proteins