OBJECTIVE: To observe the effects of different types of carbomers on percutaneous permeability of oxaprozin gels in vitro and to opitmize the formulation of oxaprozin gel. METHODS: The permeability test in vitro was carried out by using Franz diffusion cell with rats' ex vivo skin as barrier. RESULTS: The ex vivo permeability of oxaprozin gel was the best when the carbomer 940 used as its base material with its ex vivo permeability coefficient at 22.77?g/ (cm2?h) . CONCLUSION : The optimized gel base material can act as bases for the production of oxaprozin gel.

Objective:To investigate the inhibitory effect of small interfering RNA-Yes-associated protein 1 (siRNA-YAP1) on epithelial-mesenchymal transition (EMT) in human lens epithelial cells (LECs) induced by transforming growth factor-β 2 (TGF-β 2). Methods:Human LECs line (HLEB-3) was cultured and divided into normal control group and TGF-β 2 induced group.The cells in the normal control group were treated with serum-free low-glucose medium for 24 hours, and the cells in the TGF-β 2 induced group were treated with additional 10 ng/ml TGF-β 2 for 24 hours.The cultured HLEB-3 cells were divided into siRNA empty vector group, siRNA-YAP1 transfection group, siRNA empty vector+ TGF-β 2 group and siRNA-YAP1+ TGF-β 2 group, and the cells were transfected with plasmid including siRNA empty vector or siRNA-YAP1 sequence according to grouping.The relative expression levels of YAP1 mRNA and protein in various groups were detected and compared by quantitative real-time polymerase chain reaction (PCR), immunofluorescence and Western blot assay, respectively.The relative expression levels of EMT marker proteins (E-cadherin and Vimentin proteins) in various groups were detected by immunofluorescence and Western blot assay. Results:Compared with the normal control group, the expression level of E-cadherin protein was decreased (1.180±0.118 vs.0.830±0.104) and the Vimentin protein was increased (0.797±0.110 vs.1.240±0.110) in the TGF-β 2 induced group, with significant differences between the two groups ( t=3.857, P=0.018; t=-4.933, P=0.008).The relative expression levels of YAP1 mRNA and protein in the TGF-β 2 induced group were significantly increased in comparison with the normal control group (2.200±0.193 vs.1.136±0.123; 1.203±0.121 vs.0.967±0.025), with significant differences between the two groups ( t=-9.288, P<0.01; t=-3.329, P=0.029).Compared with the siRNA empty vector group, the expression levels of YAP1 mRNA and protein in the siRNA-YAP1 transfection group were significantly reduced (both at P<0.01).Compared with the siRNA empty vector+ TGF-β 2 group, the relative expression level of E-cadherin protein was significantly enhanced and the expression level of Vimentin protein was significantly reduced in the siRNA-YAP1+ TGF-β 2 group (both at P<0.01). Conclusions:YAP1 participates in the TGF-β 2 induced EMT in human LECs, and siRNA-YAP1 can suppress the EMT process.

ObjectiveTo observe the relationship between neuronal function score,brain edema and aquaporin4(AQP4) expression of fluid percussion brain injury in rats.MethodsThe fluid percussion models of brain injury of rats were established by using the improved device.Nervous function score,brain water content,histological changes,AQP4 expression were observed by Shapira and Wahld method,dry-wet measure,light microscopy,immunohistochemistry and western blot at 1 h,6 h,12 h,24 h,3 d and 7 d after operation respectively.ResultsNervous function score in TBI group decreased at 12 h( 11.17 ± 1.32),reached its minimum at 24 h( 10.17± 0.75),and recoved partially at 3rd day( 10.66 ± 1.37 ).The water content obviusly increased in those of TBI group at 12h( (80.27 ±1.47)％ ),reached its peak at 24h( (82.19 ±0.97)％ ),and then began to drop at 3d ( (8 1.74 ± 1.69 ) ％ ),while Western blot showed that AQP4 immunoreactive expression obviusly increased at 12 h (OD:0.65 ±0.05),reached its maximum at 24h( OD:0.72 ±0.08),and decreased at 3d( OD:0.56 ±0.07),and immunohistochemistry showed the same trendency of AQP4 expression as that of Western blot.The linear regression analysis indicated that nervous function score had a negtive correlation with expression of AQP4 in edematous brain and change of brain water content respectively ( r =- 0.615,P ＜ 0.01 ; r =- 0.605,P ＜ 0.05 ).ConclusionNervous function score of fluid percussion brain injury in rats decrease,has negative relationship with brain edema and AQP4 expression,and possible mechanisms is that AQP4 is indirectly involed in nerve function impairment by mediating brain edema.

To increase the dissolution rate and extent of valsartan, valsartan nanosuspensions have been prepared. Controlled precipitation assisted with sonication is utilized to prepare valsartan nanosuspensions, the concentration of the drug, stabilizer and costablizer had a great effect on the stability of the preparation according to the pre-experiment. So the method of central composite design-response surface is used to optimize the prescription based on the above three factors and the particle size as the response value. The software Origin 8.0 is used to draw the view of the three-dimensional effects and 2D contour map, to get the optimal prescription area. Valsartan nanosuspensions were prepared. The mean diameter and zeta potential are about 216.6 nm and -57.7 mV, respectively. Compared with the microsuspensions and commercial preparation, the dissolution of valsartan nanosuspensions was faster and the bioavailability can be enhanced to some extent.

Objective:To explore the accuracy of occlusal contacts on digital model made by intraoral scanner.Methods:Twenty healthy subjects [6 males, 14 females, (24.4±1.4) years old] with intact dentition were randomly recruited from postgraduate students in Capital Medical University School of Stomatology who volunteered to participate in this study. For each participant, the 2nd and 3rd quadrant of natural dentition was scanned. A diagnostic test design was performed. The occlusal contacts of the maximal intercuspal position (MIP) were extracted with the transillumination of silicone interocclusal records, and the extraction threshold was set as ≤50 μm. Intraoral scanning system was used to scan in MIP and generate occlusal contacts on digital model. Five groups were designed as test groups according to included tooth position: group 1 (buccal scanning ranged from tooth 21 to 23), group 2 (buccal scanning ranged from tooth 23 to 26), group 3 (buccal scanning ranged from tooth 24 to 26), group 4 (buccal scanning ranged from tooth 25 to 26), group 5 (buccal scanning ranged from tooth 21 to 26). Five groups occlusal contacts on digital model were generated respectively. According to the relevant literature, the upper occlusal surface was divided into 28 partitions, and the accuracy of occlusal contacts on digital model was calculated with the transillumination of silicone interocclusal records as the reference standard. Subgroup analysis was performed according to anterior teeth area, premolars area and molars area.Results:The accuracy of occlusal contacts on digital models of the half dentition in five buccal scanning positions were: group 1 (86.8%), group 2 (92.0%), group 3 (90.7%), group 4 (91.1%), group 5 (90.4%), and the accuracy of occlusal contacts in group 1 was significantly lower than those in the other four groups ( P<0.05). The accuracy of anterior teeth area were 85.6%-93.9%; the accuracy of premolar area were 92.5%-94.4%; the accuracy of molar area were 77.3%-93.6%, group 1 was significantly lower than those in the group 4 in molars area ( P<0.05), the accuracy of anterior area was statistically less than premolars area and molars area in group 1 ( P<0.05). There was no statistical difference in pairwise comparison between the three sections ( P>0.05). Conclusions:The digital models scanned intraoral methods provide accurate, quantitative measures of occlusal contacts when transillumination contacts are the reference standard.

OBJECTIVE: This study aims to evaluate the reliability of the software Picpick in the measurement of the cusp inclination angle of a digital model. METHODS: Twenty-one trimmed models were used as experimental objects. The chairside digital impression was then used for the acquisition of 3D digital models, and the software Picpick was employed for the measurement of the cusp inclination of these models. The measurements were repeated three times, and the results were compared with a gold standard, which was a manually measured experimental model cusp angle. The intraclass correlation coefficient (ICC) was calculated. RESULTS: The paired t test value of the two measurement methods was 0.91. The ICCs between the two measurement methods and three repeated measurements were greater than 0.9. The digital model achieved a smaller coefficient of variation (9.9%). CONCLUSIONS The software Picpick is reliable in measuring the cusp inclination of a digital model.
Dental Models ; Reproducibility of Results ; Software

Objective To develop a convolution neural network (CNN) model to classify multi?sequence MR images of the prostate. Methods ResNet18 convolution neural network (CNN) model was developed to classify multi?sequence MR images of the prostate. A deep residual network was used to improve training accuracy and test accuracy. The dataset used in this experiment included 19 146 7?sequence prostate MR images (transverse T1WI, transverse T2WI, coronal T2WI, sagittal T2WI, transverse DWI, transverse ADC, transverse PWI), from which a total of 2 800 7?sequence MR images was selected as a training set. Three hundred and eighty eight 7?sequence MR images were selected as test sets. Accuracy was used to evaluate the effectiveness of ResNet18 CNN model. Results The classification accuracy of the model for transverse DWI, sagittal T2WI, transverse ADC, transverse T1WI, and transverse T2WI was as high as 100.0% (44/44,52/52), and the accuracy for transverse PWI was also as high as 96.7% (116/120). The accuracy for coronal T2WI was 77.5% (31/40). 0.8% (1/120) of transverse PWI was incorrectly assigned to transverse T2WI, and 2.5% (3/120) incorrectly assigned to sagittal T2WI. 15.0% (6/40) of coronal T2WI was incorrectly assigned to transverse T2WI, and 7.5% (3/40) to sagittal T2WI. Conclusion The experimental results show the effectiveness of our deep learning method regarding accuracy in the prostate multi?sequence MR images detection.

Objective: To develop a convolution neural network (CNN) model to classify multi-sequence MR images of the prostate. Methods: ResNet18 convolution neural network (CNN) model was developed to classify multi-sequence MR images of the prostate. A deep residual network was used to improve training accuracy and test accuracy. The dataset used in this experiment included 19 146 7-sequence prostate MR images (transverse T₁WI, transverse T₂WI, coronal T₂WI, sagittal T₂WI, transverse DWI, transverse ADC, transverse PWI), from which a total of 2 800 7-sequence MR images was selected as a training set. Three hundred and eighty eight 7-sequence MR images were selected as test sets. Accuracy was used to evaluate the effectiveness of ResNet18 CNN model. Results: The classification accuracy of the model for transverse DWI, sagittal T₂WI, transverse ADC, transverse T₁WI, and transverse T₂WI was as high as 100.0% (44/44,52/52), and the accuracy for transverse PWI was also as high as 96.7% (116/120). The accuracy for coronal T₂WI was 77.5% (31/40). 0.8% (1/120) of transverse PWI was incorrectly assigned to transverse T₂WI, and 2.5% (3/120) incorrectly assigned to sagittal T₂WI. 15.0% (6/40) of coronal T₂WI was incorrectly assigned to transverse T₂WI, and 7.5% (3/40) to sagittal T₂WI. Conclusion The experimental results show the effectiveness of our deep learning method regarding accuracy in the prostate multi-sequence MR images detection.