Preliminary Study on Saliva Proteomics of Different Furs in Digestive System Diseases
Objectives: To explore the material basis for saliva proteome of traditional Chinese medicine furs and biological markers among gastric cancer, chronic gastritis and peptic ulcer. Methods: The experiment included three pathological thin fur, thick fur, stripping fur groups and the normal fur control group. The corresponding peptide mass fingerprinting was acquired by detecting the saliva of subjects using MALDI-TOF-MS technology and Weak Cation Bead (WCX), and to established the classification prediction model. Results: 4 peaks had statistically significant differences (P<0.05) among 187 differential protein peaks from four groups. The classification prediction model was established with identification rate of 85.31 percent and predictive capability of 39.91 percent. Conclusion: The saliva protein expression diagnosis model was established by using 4 protein peaks of 6447.39Da, 2938.47Da, 1472.34Da, and 1451.77Da as a model to distinguish normal fur from the saliva of different pathological fur.
Proteomics bioinformatics Digestive diseases saliva tongue fur micro-differentiation MALDI-TOF-MS
WU Zheng-zhi WANG Ji-guo ZHANG Xiao-li CAO Mei-qun
The First Affiliated Hospital of Shenzhen University (Shenzhen, Guangdong 518035
国际会议
2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)
济南
英文
56-61
2009-08-14（万方平台首次上网日期，不代表论文的发表时间）