Objective To observe the effect of transforming growth factor-β1 (TGF-β1) vaccine on the degree of hepatic fibrosis in rats ,and to explore the effect of TGF-β1 vaccine on the insulin-like growth factor binding protein (IGFBP)3 and IGFBP7 .Methods The hepatic fibrosis rat model was set up by injecting N-nitrosodimethylamine . Among them , 10 rats were injected with TGF-β1 vaccine , and additional 10 rats were set up as healthy control group .Changes in hepatic pathology were observe and the expressions of IGFBP3 and IGFBP7 were detected by the methods of immunohistochemistry , reverse transcription polymerase chain reaction (RT-PCR) and Western blot in rat fibrosis tissues after 6 weeks . Normality test and analysis of variance were conducted .LSD test was conducted if variances were tested homogeneity .Categorical data were analyzed using Fisher exact test . Results Changes in hepatic histology and serum levels of hyaluronic acid and laminin suggested that TGF-β1 vaccine interventions could reduce the extent of hepatic fibrosis in rats .The expressions of IGFBP3 mRNA in control group ,hepatic fibrosis model group and vaccine intervention group were 1 .735 ± 0 .097 ,1 .165 ± 0 .096 and 1 .491 ± 0 .046 ,respectively (t= 4 .575 ,6 .285 and 8 .489 ,respectively ,all P< 0 .05) .The expressions of IGFBP7 in the above three groups were 0 .497 ± 0 .021 ,1 .250 ± 0 .064 and 0 .885 ± 0 .149 ,respectively (t= 5 .161 ,30 .101 and 7 .250 , respectively ,all P < 0 .05 ) . Immunohistochemistry proved that the expressions of IGFBP7 in fibrosis model group and TGF-β1 vaccine group were all significantly higher than control group ;and the expressions of IGFBP3 in fibrosis model group and TGF-β1 vaccine group were all significantly lower than control group .The expressions of IGFBP3 protein in control group , hepatic fibrosis model group and vaccine intervention group were 7 .508 ± 0 .357 ,5 .200 ± 0 .210 and 5 .751 ± 0 .178 ,respectively (t = 7 .622 ,6 .180 and 29 .156 , respectively ,all P < 0 .05) . The expressions of IGFBP7 were 1 .176 ± 0 .051 ,1 .735 ± 0 .115 and 1 .428 ± 0 .056 ,respectively (t = 7 .188 ,4 .827 and 8 .649 ,respectively ,all P< 0 .05) .Conclusion TGF-β1 vaccine can affect the expressions of IGFBP3 and IGFBP7 ,which plays an important role in the formation and development of hepatic fibrosis .

Objective To examine the short-term prognostic value of procalcitonin ( PCT ) combined with coagulation factors for cirrhotic patients complicated with spontaneous bacterial peritonitis (SBP).Methods Clinical data of 128 cirrhotic patients complicated with SBP admitted in Jinhua Central Hospital from June 2014 to October 2017 were retrospectively analyzed .In 3 months after admission , 83 patients survived ( survival group ) and 45 patients died ( fatal group ) .The factors related to prognosis were analyzed with Logistic regression and the prediction model was constructed with the weights derived from regression coefficients.The ROC curve and the area under the curve (AUC) of combination of PCT with coagulation factors were used to predict the survival of patients .Results Univariate analysis indicated that the level of PCT , total bilirubin ( TBil ) , serum creatinine ( Scr ) , prothrombin time ( PT ) , prothrombin activity ( PTA ) , blood coagulation factor Ⅱ, Ⅴ, Ⅶ, Ⅸ, Ⅹ, Ⅺ and Ⅻ were factors affecting the prognosis of cirrhotic patients complicated with SBP (P<0.01).Multivariate analysis showed that PCT , blood coagulation factors Ⅴ and Ⅸ were independent factors of short-term prognosis of cirrhotic patients complicated with SBP.The constructed predictive model was Logit (P) =1.200+0.099 ×PCT-0.026 × clotting factor Ⅴ-0.038 ×clotting factor Ⅸ.The sensitivity and specificity of the model were 0.822 and 0.675, respectively, and the AUC was 0.829.Compared with the classic MELD score , the difference was not statistically significant (P>0.05).Conclusions The predictive model based on PCT and coagulation factors Ⅴand Ⅸcan effectively predict the short-term survival of cirrhotic patients complicated with SBP . The overall prognostic ability is not different from MELD score , but the model is more simple and easier to apply.