AIM:To explain the role of Monocyte chemotactic protein-1 (MCP-1) and soluble adhesion molecules in chronic hepatitis C during the treatment of interferon alpha (IFNα) 2 b and ribavirin (RBV). METHODS:Concentrations ...AIM:To explain the role of Monocyte chemotactic protein-1 (MCP-1) and soluble adhesion molecules in chronic hepatitis C during the treatment of interferon alpha (IFNα) 2 b and ribavirin (RBV). METHODS:Concentrations of MCP-1,soluble adhesion molecules intercellular adhesion molecule-1 (sICAM-1),sP- selectin,interleukin (IL) 6,and IL10 in serum were estimated in the group of 40 patients with chronic hepatitis C treated with IFNalpha2 b and RBV in 0,16,32,48 wk of the therapy, RESULTS:In chronic hepatitis C,before and during the treatment,the serum levels of MCP-1 and sP-selectin in responders were similar to those of healthy subjects.In non- responders (NR),MCP-1 increased in the course of IFNc^+RBV treatment,differences were statistically significant as compared to responders.MCP-1 correlated statistically with the activity of periportal inflammation (r=0.35,P<0.05) but not with staging of liver fibrosis,sICAM-1 positively correlated with inflammatory activity and fibrosis in NR.sP-selectin did not correlate with histological findings in the liver.The MCP-1 correlated with the soluble form of sP-selectin concentrations (r= 6,P<0.001) and with IL-10 level in NR (r=0.4,P<0.05).There was no correlation observed between the concentration of MCP-1 and sICAM-1,IL-6 during the treatment. CONCLUSION:MCP-1 concentration may be a prognostic marker of the efficacy of IFN+RBV therapy in patients with chronic hepatitis C.展开更多
Successful prediction of protein domain boundaries provides valuable information not only for the computational structure prediction of muhi-domain proteins but also for the experimental structure determination. A nov...Successful prediction of protein domain boundaries provides valuable information not only for the computational structure prediction of muhi-domain proteins but also for the experimental structure determination. A novel method for domain boundary prediction has been presented, which combines the support vector machine with domain guess by size algorithm. Since the evolutional information of multiple domains can be detected by position specific score matrix, the support vector machine method is trained and tested using the values of position specific score matrix generated by PSI-BLAST. The candidate domain boundaries are selected from the output of support vector machine, and are then inputted to domain guess by size algorithm to give the final results of domain boundary, prediction. The experimental results show that the combined method outperforms the individual method of both support vector machine and domain guess by size.展开更多
文摘AIM:To explain the role of Monocyte chemotactic protein-1 (MCP-1) and soluble adhesion molecules in chronic hepatitis C during the treatment of interferon alpha (IFNα) 2 b and ribavirin (RBV). METHODS:Concentrations of MCP-1,soluble adhesion molecules intercellular adhesion molecule-1 (sICAM-1),sP- selectin,interleukin (IL) 6,and IL10 in serum were estimated in the group of 40 patients with chronic hepatitis C treated with IFNalpha2 b and RBV in 0,16,32,48 wk of the therapy, RESULTS:In chronic hepatitis C,before and during the treatment,the serum levels of MCP-1 and sP-selectin in responders were similar to those of healthy subjects.In non- responders (NR),MCP-1 increased in the course of IFNc^+RBV treatment,differences were statistically significant as compared to responders.MCP-1 correlated statistically with the activity of periportal inflammation (r=0.35,P<0.05) but not with staging of liver fibrosis,sICAM-1 positively correlated with inflammatory activity and fibrosis in NR.sP-selectin did not correlate with histological findings in the liver.The MCP-1 correlated with the soluble form of sP-selectin concentrations (r= 6,P<0.001) and with IL-10 level in NR (r=0.4,P<0.05).There was no correlation observed between the concentration of MCP-1 and sICAM-1,IL-6 during the treatment. CONCLUSION:MCP-1 concentration may be a prognostic marker of the efficacy of IFN+RBV therapy in patients with chronic hepatitis C.
基金Supported by the National Natural Science Foundation of China （No. 60435020）
文摘Successful prediction of protein domain boundaries provides valuable information not only for the computational structure prediction of muhi-domain proteins but also for the experimental structure determination. A novel method for domain boundary prediction has been presented, which combines the support vector machine with domain guess by size algorithm. Since the evolutional information of multiple domains can be detected by position specific score matrix, the support vector machine method is trained and tested using the values of position specific score matrix generated by PSI-BLAST. The candidate domain boundaries are selected from the output of support vector machine, and are then inputted to domain guess by size algorithm to give the final results of domain boundary, prediction. The experimental results show that the combined method outperforms the individual method of both support vector machine and domain guess by size.
