Development of a diagnosis model for active pulmonary tuberculosis using mass spectrometry and pro-tein chip
- VernacularTitle:应用蛋白质谱建立活动性肺结核病的血清诊断模型
- Author:
Xueqiong WU
;
Junxian ZHANG
;
Yan LIANG
;
Mei DONG
;
Bin YI
;
Ruijuan MA
;
Hua WEI
;
Jianqin LIANG
;
Yourong YANG
;
Hongbing CHEN
;
Cuiying ZHANG
;
Jufang HE
;
Hong WU
;
Zhongxing LI
;
Youning LIU
- Publication Type:Journal Article
- Keywords:
Active pulmonary tuberculosis;
Protein chip;
SELDI-TOF-MS;
Serum diagnosis
- From:
Chinese Journal of Microbiology and Immunology
2008;28(11):1040-1043
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop a diagnosis model for active pulmonary tuberculosis. Methods The proteomic fingerprinting of 264 sera from active tuberculosis patients and controls were analyzed using the surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) and protein-chip technology. The peaks were detected and filtrated by Ciphergen PrnteinChip(R) Software (version 3.1.1). Using the Biomarker Pattern 5.0 software, a diagnostic model was developed for diagnosis of active tuberculosis. Re-sults Fifty protein peaks were significantly different between the patients with active pulmonary tuberculosis and the controls with overlapping clinical features (P<0.01). Five protein peaks at 4360, 3311, 8160, 5723, 15173 m/z were chosen for the system classifier and the development of diagnosis model 1. The model differenti-ated the patients with active pulmonary tuberculosis from the controls with a sensitivity of 83.0%, and a speci-ficity of 89.6%. The diagnostic accuracy was up to 86.4%. Three protein peaks at 5643, 4486, 4360 m/z were chosen for the system classifier and the development of diagnosis model 2. The model differentiated the pa-tients with active pulmonary tuberculosis from the controls with a sensitivity of 96.9%, and a specificity of 97.8%. The diagnostic accuracy was up to 97.3%. Conclusion It might be a new diagnostic test for the de-tection of sera from the patients with active pulmonary tuberculosis using SELDI-TOF-MS and protein chip.
