OBJECTIVETo investigate the feasibility of swelling hydrogel instead of polyethylene oxide as swelling polymer in push-layer of push-pull osmotically controlled-release tablets.

METHODThe swelling patterns of tablets made of pure polymers were studied by immerging the tablets into purified water and testing their size at different time points. The push-pull osmotic-pump tablets were prepared and their release patterns in vitro were studied and compared by their similar factor (f2).

RESULTTablets with different swelling materials all showed satisfying release pattern in vitro and their release ratio at 12 h were all above 80%.

CONCLUSIONWith its release rate and cumulative release percentage at 12 h, the mixture of HPMC K15M and CMCNa in ratio of 1:1 is the best choice instead of polyethylene oxide as swelling polymer in push-layer.

Chemistry, Pharmaceutical ; Drug Carriers ; chemistry ; Osmosis ; Polymers ; chemistry ; Tablets ; Water ; chemistry

To seek the optimum experiment methods of animal immunization with HCV gene and to explore the effect on antibody responses in mice immunized by pCD-HCV1 recombinant in different administration, recombinant pCD-HCV1 was constructed by technique of molecular biology and was injected into muscles of Balb/c of mice with different times, routes and dosage of inoculations as well as different treatment. The results showed that the serum antibody level reached 0.183±0.06,0.428±0.05,0.707±0.08 and 0.773±0.07(OD410 value) respectively after recombinant pCD-HCV1(100μg/mouse) were injected into mice once, twice, three times and four times. The antibody level of mice (n＝12) with four times inoculation was the highest; pCD-HCV1 was perfused into stomach orally in mice or were into mice by i.p, s.c and i.m(100μg/mouse, three times) in different routes (n＝6), and the antibody levels were 0.138±0.05, 0.178±0.07, 0.233±0.08 and 0.691±0.05 respectively; after the mice (n＝8) were inoculated with the pCD-HCV1 of different dosage(10μg, 50μg and 100μg) the antibody levels of three groups were 0.11±0.09, 0.33±0.04, and 0.700±0.07, and the results showed a significant difference (P＜0.01); Mice was injected with procaine (100μl, 0.4mg) by i.m or s.c. Then pCD-HCV1 was injected into mice and antibody levels were higher than that of mice immunized directly with recombinant pCD-HCV1 of same dosage. The results may provide a reference data deserved for screening the optimum immunization method of development HCV-DNA-based vaccine in mice model.

Objective To observe the value of lumbar spine bone marrow MR T1 mapping radiomics for predicting clinical risk of acute lymphoblastic leukemia(ALL)in children.Methods Lumbar bone marrow T1 mappings were prospectively acquired from 77 newly diagnosed ALL children.The volume of interest(VOI)of L3 vertebral body was segmented using 3D Slicer software and 2 060 radiomics features were extracted,and the best features were screened.The children were divided into training and testing sets at the ratio of 8:2.Logistic regression(LR),support vector machine(SVM)and random forest(RF)were used to established radiomics models based on the best features,respectively,which were trained in training set and verified in testing set.The clinical risk was evaluated according to newly diagnosed risk and the response to chemotherapy after MR examination.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting clinical risk of ALL in children.Results There were 52 cases in low-medium risk group and 25 in high risk group.The training set consisted of 44 cases of low-medium risk and 17 of high risk,while the testing set consisted of 8 cases of low-medium risk and 8 of high risk.Twelve best features were selected to establish radiomics models.The sensitivity and accuracy of RF model in training set were both 100％,but its sensitivity(50.00％)and accuracy(75.00％)in testing set were both low,which indicating overfitting.The AUC(0.95)of LR model was slightly higher than that of SVM model(0.92)in testing set,but no significantly difference was found(P＞0.05),and the accuracy of these two models was consistent.Conclusion Both lumbar bone marrow T1 mapping LR and SVM radiomics models could be used to predict clinical risk of ALL in children,and LR model had better predictive efficacy.