ObjectiveTo explore the role of BTBD10 overexpression in the proliferation of insulinoma cell line INS-1and its mechanism. MethodsThe recombined expression plasmid of pcDNA4.0-BTBD10 was constructed by gene cloning technique and was transfected into INS-1 cell by lipofectamine 2000. The stable overexpression BTBD10 of INS-1cell was selected at 48th hour after transfection.INS-1 cell proliferation activity was measured by MTT method.The expression of BTBD10,protein kinase B(Akt),phospho-Akt(p-Akt),mammal target of rapamycin (mTOR) and phospho-mTOR (p-mTOR) were determined by Western blot.ResultsThe stable overexpression BTBD10 of INS-1 cell wassuccessfullyconstructed.OverproductionofBTBD10promotedbetacellproliferation.The phosphorylation of Akt and mTOR was increased and the ratio of p-Akt/Akt and p-mTOR/mTOR was enhanced in the INS-1 overexpressed by BTBD10.But the expression of total Akt and mTOR presented no obvious changes. Conclusion The overexpression BTBD10 of INS-1 cell could activate of Akt/mTOR signalling pathway via stimulating phospho-mTOR and Akt,and enhance overall cell protein translation,so as to promote proliferation of INS-1 cell.

Objective:To explore the clinical characteristics of patients with cholelithiasis in Jinshan district of Shanghai city. Methods:The clinical characteristics of 3455 patients with cholelithiasis treated in Jinshan Branch of Shanghai Sixth People′s Hospital from Jul 2010 to Dec 2012 were analyzed.Results:Among them,3127 patients (90.5%)had clinical symptoms,and 328 patients (9.5%)had no symptoms.The incidence rate of symptomatic cholelithiasis in male patients was lower than that in female patients,while the incidence rate of asymptomatic cholelithiasis in male patients was higher than that in female patients (P <0.05).The incidence rate of asymptomatic cholelithiasis in patients decreased with the increase of age,and the difference was statistically significant(P <0.05).The incidence of cholecystolithiasis was 54.5%.The appearance of symptoms in patients with cholelithiasis was not correlated with the body mass index(BMI)and the location of cholelithiasis(P >0.05).Conclusions:Jinshan district of Shanghai city has high incidence of cholelithiasis.The appearance of Symptoms in patients with cholelithiasis is correlated with gender and age,but not correlated with BMI and location of cholelithiasis.

Objective To evaluate the accuracy of three-dimensional(3D)reconstruction of the gallbladder volume based on computed tomography(CT)images and study the biomechanical changes in gallbladder motility to explore the relationship between gallbladder dynamics and gallstone formation.Methods A method for calculating gallbladder volume based on CT 3D reconstruction of The gallbladder model was proposed and compared with the ellipsoid method.A finite element model of the gallbladder was constructed for fluid dynamics analysis to simulate changes in gallbladder motor function under different angles of convergence between the cystic and common bile ducts and in the presence of gallstones.Results The mean errors of the specific gallbladder model volume and ellipsoid volume of the 50 patients were 7.26％and 25.35％,respectively.During the refilling period,the maximum pressure,deformation,and flow velocity of the pear-shaped gallbladder were significantly higher than those of the gourd-shaped gallbladder.The angle between the gallbladder and common bile duct had little effect on the bile flow pattern,and the maximum bile flow rate was reached at an angle of 120°.The bile flow velocity of the gallbladder with calculus was lower than that of the gallbladder without calculus,and there was a vortex near the calculus.Conclusions Calculating gallbladder volume based on CT 3D reconstruction is more accurate than the ellipsoid method.Compared with a pear-shaped gallbladder,a gourd-shaped gallbladder has lower gallbladder wall contraction,bile flow rate,and poor motor function.The bile flow rate in the gallbladder is slow,which is more likely to lead to the enlargement of gallstones or the formation of new gallstones.

Objective:To establish and validate a gallstones classification method based on deep learning.Methods:A total of 618 gallstones samples were collected from East Hospital Affiliated to Tongji University, and 1 023 high-definition cross-sectional gallstones profile images were captured to construct a cross-sectional gallstones profile image dataset. Based on the traditional eight-category gallstones classification method, a lightweight network model, MobileNet V3, was trained using deep learning and transfer learning methods. The classification performance of MobileNet was evaluated using a confusion matrix with metrics such as accuracy rate, precision rate, F1 score, and recall rate. The MobileNet V3 was improved and further validated using accuracy and loss values.Results:The accuracy rate (94.17%), precision rate (94.03%), F1 score (92.96%) and recall rate (92.99%) of the improved MobileNet V3 model were better than other networks. The improved MobileNet V3 model achieved the highest accuracy rate (94.17%) in gallstones profile classification and was validated by the test set. The confusion matrix showed a weighted average of accuracy rate (92.0%), precision rate (92.6%), and F1 score (92.2%) for each category of gallstones.Conclusions:Based on deep learning, a high-accuracy gallstones classification method is proposed, which provides a new idea for the intelligent identification of gallstones.

Objective The aim of this study is to investigate the cerebral cortical thickness changes in type 2 diabetes mellitus (T2DM) using a whole brain cortical thickness mapping system based on brain magnetic resonance imaging (MRI).Methods High resolution three-dimensional T1-weighted fast spoiled gradient recalled echo MR images were obtained from 16 patients with T2DM, as well as from 16 normal controls. The whole brain cortical thickness maps were generated, and the cortical thickness of each brain region was calculated according to gyral based regions of interest (ROI) using an automated labeling system by the Freesurfer software. We compared mean cortical thickness at each brain region by the analysis of covariance with age and sex as covariates. The regional difference of the cortical thickness over the whole brain was compared by the analysis of surface-based cortical thickness.Results Mean cortical thicknesses analysis showed bilateral cerebrum in the patients with T2DM (left: 2.52±0.07 mm; right: 2.51±0.08 mm) were significant thinner than those in the normal controls (left: 2.56±0.09 mm; right: 2.56±0.09 mm) (both P<0.05). Regional cortical thinning in T2DM was demonstrated in the paracentral lobule, postcentral gyrus, lateral occipital gyrus, lingual gyrus, precuneus, superior temporal gyrus, middle temporal gyrus, inferior temporal gyrus and posterior cingulate gyrus, compared to the normal controls. The cortical thickness of left middle cingulate and right inferior temporal gyrus were negatively correlated with the disease course.Conclusion A widespread cortical thinning was revealed in patients with T2DM by the analysis of brain cortical thickness on MR. Our finding supports the idea that T2DM could lead to subtle diabetic brain structural changes.
Aged ; Cerebral Cortex ; pathology ; Diabetes Mellitus, Type 2 ; diagnostic imaging ; pathology ; Female ; Humans ; Magnetic Resonance Imaging ; methods ; Male ; Middle Aged ; Pilot Projects