The present study aimed to observe the identification of biomarkers of silicosis based on the differentially expressed serum proteins between normal healthy individuals and patients with silicosis fibrosis. A total number of 20 patients with clinically diagnosed silicosis were screened, which were designated as the foundation treatment group. In addition, 20 age-matched healthy patients attending a check-up at the physical examination department were selected. Serum samples were obtained and a combined protein chip with surface-enhanced laser desorption ionization flight mass spectrometry was applied to perform serum analysis. Data preprocessing, screening differences in peak, hierarchical cluster analysis, Principal Component Analysis, construction of a decision tree model, and prediction based on the differences between peaks corresponding to proteins were performed to analyze the data. The results revealed differences in the proteins in serum between the normal group and the group prior to foundation treatment prediction. The corresponding names of the protein peak, predicted protein, and gene name were as follows: M1948_00, complement c3 frag, C3; M2017_02, amyloid-βa4 protein, APP; and M2879_56, hepcidin, HAMP. Differentially expressed serum proteins in the normal group and the basis treatment group were predicted, including M2017_02, amyloid-βa4 protein, APP; M2879_56, hepcidin, HAMP; and M3224_97, fibrinogen-α chain frags, FGA. The differentially expressed serum proteins in the group prior to basis treatment and the group following basis treatment were predicted, including M2001_69, amyloid-βa4 protein, APP; M2017_02, amyloid-βa4 protein, APP, M4144_81, plasma protease c1 inhibitor frag, and SERPING1. In conclusion, there were differences in the proteins in serum between the patients with silicosis fibrosis and healthy individuals.

Objective. To observe the curative effect of VAWI on Xinjiang Uygur patients with silicosis fibrosis. Methods. After we diagnosed the 40 patients with the first phase of silicosis, we randomly divided them into two groups: the basic treatment group (group A, n = 20) and the VAWI group (group B, n = 20). At the same time, we selected the age-matched healthy patients (n = 20). We applied the combined protein chip with SELDI-TOF-MS to carry out the serum analysis. The data were analyzed throughout data preprocessing, difference in PEAK screening, hierarchical cluster analysis, and Principal Component Analysis (PCA). We built decision tree model and predict the difference between the PEAK corresponding proteins. Results. The proteins peaks corresponding to name, predicted protein, and gene name were as follows: M2001_69, amyloid beta a4 protein, APP, and M2017_02, amyloid beta a4 protein, APP. The different expression of proteins in patients with silicosis was found before and after with VAWI treatment. The predicted proteins were as follows: M1982_50, amyloid beta a4 protein, APP; M3164_50, fibrinogen alpha chain frag, FGA; M3379_28, fibrinogen alpha chain frag, FGA; and so on. Conclusion. VAWI presented curative effect on patients with silicosis fibrosis via the alternation of proteins expression in serum.