Screening of serum biomarkers and establishment of decision tree in silica-exposed populations by SELDI-TOF-MS
- VernacularTitle:应用SELDI-TOF-MS技术筛选矽尘暴露人群血清生物标记物和诊断决策树研究
- Author:
Xuefeng ZHAO
;
Shixin WANG
;
Zhiguang TU
- Publication Type:Journal Article
- Keywords:
Mass Spectrometry;
Silicosis;
Dust;
Inhalation Exposure;
Diagnosis
- From:
International Journal of Laboratory Medicine
2008;29(6):492-495,封3
- CountryChina
- Language:Chinese
-
Abstract:
Objective To screen the serum biomarkers by surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and establish the decision-tree model for the silica-exposed populations.Methods In addition to 20 healthy people without silica-exposed history chosen as control group,all the subjects diagnosed as different stages (stage 0 group,silica-exposed population,n=20;stage 0+ group, doubtful silicosis,n=20;stage Ⅰ group,stage Ⅰ silicosis) of silicosis according to the national diagnostic criteria (GBZ70-2002) of pneumonoconiosis with no complications were recruited. SELDI-TOF-MS and CM10 chip assay were applied to acquiring serum protein finger printing. The bioinformatic software was adopted to perform data ananlysis and establish Wilks'lambda decision equation and decision tree.Results As compared with that of control group, differential peaks appeared in three groups of silica-exposed population, accounting for 80% of total differential peaks. Wilks'lambda decision equation was established with M/Z 3711.73, M/Z 4183.66, M/Z 5487.28 and M/Z 6124.64, which sensitivity and specificity in differentiating healthy controls and silica-exposed population was 95% and 90% respectively. The sensitivity and specificity of decision tree was 100% and 95% respectively. Neither single peak nor Wilks'lambda decision equation worked well for discrimination of silica-exposed population, while the discriminating rates of decision tree accounted for 100%, 95%, 85% and 90% for healthy control group, stage 0 group, stage 0+ group, stage Ⅰ group respectively.Conclusion M/Z 5933.63,M/Z 4183.66,M/Z 5487.28,M/Z 6124.64,M/Z 5915.14,M/Z 2745.7, M/Z 3711.73, M/Z 2954.78 and M/Z 3401.03 are potential biomarkers for discriminating healthy controls and silica-exposed population, and the decision-tree works well for discrimination of controls, silica-exposed population, doubtful silicosis patients and stage Ⅰ silicosis ones.
