The Detection And Clinical Application Of Serum Hepatitis B Virus Large Surface Protein

Objectives(1)To discuss the most fitting model of standard curve and compare the fitting effects of SPSS and Excel for concentration standard curve of serum Hepatitis B Virus Large Surface Protein(HBV-LP), to establish methodology of the concentration detection of serum HBV-LP.(2)To discuss the clinical significance of serum HBV-LP of monitoring HBV replication and the disease process and the effectiveness of treatment and prognosis..Methods(1)Enzyme-linked immunosorbent assay (ELISA)was used to measure the absorbance of standard preparation of serum HBV-LP. Concentration and absorbance of standard preparation of serum HBV-LP was carried out curve fitting with 4-parameter formula model and linear model and log-linear model and quadratic polynomial model and cubic polynomial model and S model and logistic model by regression of SPSS and program solution of Excel, It was compared to concordance of fitting effects of SPSS and Excel, respectively.The most fitting model was determined with coefficient of determination of regression model.(2) Serum HBV- LP was measured by ELISA as HBV preS1,HBV preS2 antigen and HBVM and HBV-DNA by fluorescence quantitative-PCR technique in 162 patients with Hepatitis B as well as 47 normal controls。Results(1)The scatterplot of standard preparation of HBV-LP submited nonlinear tendency. There were all significance to regression equation of 4-parameter formula model and linear model and log-linear model and quadratic polynomial model and cubic polynomial model and S model and logistic model(P<0.001),Coefficient of determination of those was 0.9995,0.9249,0.8765,0.9975,0.9989,0.9799,0.8647, respectively。Precision of fitting was better to 4-parameter formula model and quadratic polynomial model and cubic polynomial model and S model,and especially 4-parameter formula model.There were all significance to regression equation(P<0.001),Coefficient of determination of those was concordant to 4 decimal places with SPSS and Excel.(2)There was significant difference of serum HBV-LP between group of HBV infected and normal control. In 162 serum samples of the patient with HBV infected,Contents of serum HBV-LP was positively correlated with HBV-DNA copies (rs=0.64, P<0.001). Contents of serum HBV-LP were significant difference among different groups of HBV-DNA copies (P<0.01). Contents and positive rates of serum HBV-LP were significant difference the HBV-DNA-positive group and the HBV-DNA-negative group, and so did HBeAg,HBVpreS2 and HBVpreS1. There were high close relationships among serum HBV-LP,HBV-DNA,HBeAg,HBVpreS2 and HBVpreS1 antigen(P<0.01). Serum HBV-LP positive rate had significant difference with that of HBV-DNA,HBeAg,HBVpreS2 and HBVpreS1 antigen respectively(P<0.05),It was 84.57%,which was more sensitive than that of HBV-DNA,HBeAg,HBVpreS2 and HBVpreS1 antigen respectively.It had significant difference with that of HBVpreS2 and HBVpreS1 antigen and HBV-DNA in HBeAg-negative group (P<0.05),It was 76.8%,which was higher than that of HBVpreS2,HBVpreS1 antigen and HBV-DNA respectively. It had also significant difference with that of HBVpreS2,HBVpreS1 antigen and HBeAg in HBV-DNA-negative group (P<0.05), It was 73.33%, which was higher than that of HBVpreS2,HBVpreS1 antigen and HBeAg respectively.Conclusions(1)The fitting standard curve with 4-parameter formula model is the most standard curve for determining concentration of serum HBV-LP.Program solution of Excel is a modus operandi to fit and optimizate concentration standard curve of serum HBV-LP in clinical laboratory,its fitting effects is supreme coincidence with that of SPSS.(2)Contents of serum HBV-LP is more sensitive as a new serum marker of monitoring HBV replication and the disease process and the effectiveness of treatment and prognosis, especially in HBeAg-negative and lower HBV-DNA group with HBV inflected.