Objective: Based on magnetic beads based weak cation exchange chromatography (MB-WCX), matrix assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) and ClinProTools software, the polypeptides of serum about occupational medicamentosa-like dermatitis induced by trichloroethylene (OMLDT) patients were studied, and a diagnostic model of OMLDT was built.
Methods: According to diagnostic criteria of OMLDT, serum of 28 OMLDT patients and 28 controls which were diagnosed by Shenzhen prevention and treatment center for occupational disease were collected. With the combination of MB-WCX and MALDI-TOF-MS, the polypeptides fingerprint of serum of 14 OMLDT patients and 14 controls were detected, what's more, the ClinProTools software and SNN algorithm was used for screening characteristic polypeptides and establishing diagnostic model of OMLDT. Then other objects were applied to validate the model to evaluate accuracy.
Results: A total of 159 peaks were attained by ClinProTools software, of which 33 peaks were statistical content (P < 0.05). What is more, comparing with the control group, 20 peaks in case group were decreased, and 13 peaks were increased. Two peaks of them were identified, that is 2106.29 and 3263.78, to classify and determine that two groups by receiver operating characteristic curve (ROC) analysis.2D peaks distribution map certified this finding and the area under the ROC curve was closed to 1. A model was established by SNN algorithm, whose cross validation and recognition capability were 87.5% and 98.5%, respectively. Its sensitivity and specificity were 84.8% and 82.1%, separately, which displayed good separating capacity.
Conclusion: In the combination of MB-WCX, MALDI-TOF-MS and ClinProTools software, specifical different polypeptides were screened and OMLDT diagnostic model was built primarily. Also, the model and the results were positively validated, which would play a significant role in early diagnosis.