Objective To observe the clinical effects of insulin glargine combined with novonorm in treatment of patients with newly diagnosed type 2 diabetes. Methods 112 cases of newly diagnosed type 2 diabetes patients were randomly separated into observation group(56 cases)and control group(56 cases). Observation group was treated with insulin glargine combined with novonorm. Control group was treated with novolin30R. The levels of FPG,2hPG and HbA1c before and after treatment,the control time of blood sugar,amounts of insulin and incidence of low blood sugar were observed in both groups. Results Compared with pre-treatment, FPG,2hPG and HbA1 c were significantly decreased (all P ＜0.05) after treatment, but there were no significant differences in both two groups (P ＞0. 05). The control time of blood sugar, amounts of insulin and incidence of low blood sugar in observation group were significantly lower than those in control group (all P ＜ 0.05). Conclusion Insulin glargine combined with novonorm in treatment of patients with newly diagnosed type 2 diabetes could effectively control blood sugar,shorten the control time of blood sugar,decrease amounts of insulin,and low incidence of low blood sugar.

Objective The purpose of the study was to compare the P63 expression in non-small cell lung cancer (NSCLC) between Xuanwei and other regions, and to investigate the relationship of P63 expression and biological behavior. Methods Immunohistochemical method was used. Results The results indicated that the expression of P63 in lung squamous cell carcinoma was extraordinarily high. P63 was related to the TNM staging system,tissue differentiation degree and lymph node metastasis,but not related to gender. In NSCLC,there was no significant difference of the P63 positive expression rate in the same pathological types, staging, tissue differentiation degree, lymph node metastasis and gender between Xuanwei and other regions. It indicated that the expression of P63 was not the reason why it was high incidence of lung cancer in Xuanwei region.

BACKGROUND: Naloxone has a significant arousal effect on many types of comas. It is usually believed that this is because its inhibition on endogenous opioid peptides. But depth of coma is not necessarily positively correlated to endorphin (EP).OBJECTIVE: Based on existing findings on direct stimulating effect of naloxone on cerebral cortex, further studies need to be done to explore whether it is dose-dependent or not.DESIGN: Single-factor design based on cells.SETTING: Neurology department in a university hospital and the neurology department in a hospital of a military medical university of Chinese PLA.MATERIALS: This study was completed in the Laboratory Center of Tongji Medical College, Huazhong University of Science and Technology. Thirty healthy new born Wistar rats, regardless of their gender, aging 8 - 12 days and weighing 150 -250 g, were selected.METHODS: The experiment was performed at room temperature. The perfusion slot were placed on the microscope stage, and cells with smooth surfaces, triangle or pyramidal shapes, strong refraction and more than one neurites were selected for patch clamp experiment. Patch clamp whole-cell recording technique was used to measure the pyramidal cells of the frontal lobe immediately after separated from the Wistar rats, and to investigate the fluctuations of their membrane potential of cerebral cortex neurons and the frequencies of their spontaneous electric activities after administration of naloxone at different doses.MAIN OUTCOME MEASURES: The neural excitatory reaction rate, depolarization amplitude and increasing rate of spontaneous electric activities after administration of different doses of naloxone were selected as main outcome measurements.RESULTS: The excitatory reaction rates of cerebral cortex neurons immediately after separation to doses of naloxone(100, 50, 10, 1, 0. 1 μmol/L)were 83%, 67%, 86%, 71% and 33%; while the depolarization amplitude of them were 9. 8, 9.6, 8.4, 5.2 and 1. 3 mV respectively; and the corresponding spontaneous electric activity were increased by 587% , 375% ,291%, 125% and 69%.CONCLUSION: Naloxone can induce excitatory reactions in cerebral cortex neurons directly, and the reactions have proved to be dose-dependent.

Objective To investigate the correlativity between elasticity modulus and pathological severity in chronic pancreatitis (CP).Methods Twenty-one pigs were divided randomly into experimental group (n=18) and control group (n=3) using random number method.The main pancreatic duct (MPD) was incompletely ligated to establish the CP model.In control group, MPD was not ligated.The animals were killed in batches at 4th, 8th and 12th week after surgery.The pancreatic tissue was taken for elasticity modulus test and pathological examination, and the pigs were classified into control, mild, moderate and severe groups based on the severity of fibrosis.Cell density, fat infiltration and extracellular edema were observed and classified into mild and severe.The difference of elasticity modulus among different groups were compared by Variance analysis, the correlation between pancreatic fibrosis and elastic modulus was analyzed with Spearman correlation analysis, and ROC curve was used to evaluate its efficacy of diagnosing CP.Results Sixteen CP models were established successfully expected for 2 deaths (mild, n=7;moderate, n=2 and severe, n=7).All of the control group (n=3) showed normal pancreas.The elasticity modulus of control, mild and moderate to severe group were 0.4268±0.0566, 0.3203±0.0518 and 0.2235±0.0685, respectively.The difference between the groups was statistically significant (F=13.658,P<0.01), and the elastic modulus and pathological grade had a negative correlation (r=0.969, P<0.01).AUC of elasticity modulus for differentiating normal and mild CP was 1.000, the best critical value was 0.3807, and both the sensitivity and specificity of the diagnosis were 100%.AUC for differentiating mild and moderate to severe CP was 0.8730, the best critical value was 0.2646, and the sensitivity and specificity of the diagnosis were 85.7% and 77.8%, respectively.The pancreatic elasticity modulus of low parenchymal cell density group and high parenchymal cell density group were 0.1931±0.0373 and 0.3485±0.0655, respectively, which in the high cell density group was significantly higher than that in the low cell density group (t=-5.719, P<0.01).The elasticity modulus of negative infiltration or slight fatty infiltration group and severe fatty infiltration group were 0.3401±0.0697 and 0.1855±0.0344, respectively, which in the negative infiltration or slight infiltration group was significantly higher than that in severe infiltration group (t=5.102, P<0.01).The elasticity modulus of negative or mild cell edema group and moderate to severe cell edema group were 0.2760±0.0825 and 0.3024±0.1056, respectively;there was no statistically significant(t=-0.586, P >0.05).Conclusions The elasticity modulus can be used to detect the pathological changes of CP, and evaluate the CP pathologic grades.

Objective To investigate the correlativity between secretin-stimulated magnetic resonance cholangiopancreatography (sMRCP) findings and pathological severity in a swine chronic
pancreatitis (CP) model. Methods Thirty-nine swine were divided randomly into control group (n=12) and experimental group (n= 27). In experimental group, the main pancreatic duct (MPD) was incompletely ligated to establish the model of obstructive CP. In control group, laparotomy was performed but without ligating the MPD. At the 4th, 8th and 12th week after modeling, one third swine of each group were undergone a series of dynamic sMRCP scans before (0 min) and at 1, 3, 5, 7, 9, 11 min after administration of secretin (0.6 μg/kg). And the MPD diameter and duodenum filling (DF) degree were measured. All survivals were sacrificed to pathological examination including HE and Van Gieson staining for histopathological grading. According to pathological severity, swine were divided into normal group, mild CP group and moderate to severe CP group. MRI features and indexes, including baselined diameter (BD), end diameter (ED), maximum diameter (MD), the largest expansion rate (LER), time to peak (Tpeak) and end change rate of pancreatic duct and duodenal filling (DF) scores were measured. The relationships between pathological grading and sMPCP indexes were analysed. The comparison of sMRCP data among the 3 groups were used ariance analysis, χ2 test and U test. Correlations between sMPCP indexes and pathological severity were tested using Spearman rank correlation coefficients. The diagnostic efficiency of sMRCP indexes were evaluated by ROC method. Results (1) In experimental group, 22 CP models were established and 19 CP swine (mild CP, n= 8; moderate and severe CP, n=11) were performed sMRCP successfully. Eleven swine in normal group were obtained satisfactory MRCP images. (2) sMRCP results:BD of 3 groups were (1.56 ± 0.46),(2.95 ± 1.17),(7.41 ± 1.91) mm, respectively. ED were (1.49 ± 0.31),(2.96 ± 1.17) and (7.37±1.90) mm, respectively. MD were (2.39±0.43),(3.91±1.27) and (7.86±1.87)mm, respectively. The median of LER were 42.10%, 34.85% and 6.58%, respectively. The median of DF scores were 3, 3, 2, respectively. The differences of above indexes have statistically significance (P values were all<0.01). There were correlation between sMRCP indexes (BD, ED, MD, LER and DFscores) and pathological severity (r values were 0.89, 0.92, 0.90,-0.85,-0.66, respectively and P values were all<0.01). Tpeak and end change rate of pancreatic duct had no significant differences (P values were>0.05),and no correlation with pathological severity(P values were all>0.05).For differential diagnosis between normal and mild CP, the area under ROC of BD, ED, MD, LER and DFscores were 0.915, 0.977, 0.926, 0.778 and 0.472, respectively and differential diagnosis between mild CP and moderate to severe CP group, the area under ROC were 0.966,0.966,0.960,1.000 and 0.915, respectively. Conclusions sMRCP findings of CP have characteristics and could be used for in vivo evaluation on the CP pathologic grades.

OBJECTIVE： To evaluate the DNA damage response of procarbazine hydrochloride （PCZ） and ethyl carbamate （EC） to different tissues in rats by performing alkaline comet assay， to validate the feasibility of alkaline comet assay of various tissues. METHODS： Totally 30 SD rats were randomly divided into 6 groups according to body weight， with 5 rats in each group， such as negative control group （hyperpure water）， PCZ 75 mg/kg group， PCZ 150 mg/kg group， EC 400 mg/kg group， EC 800 mg/kg group， positive control group （N-ethyl-N-nitrosourea 40 mg/kg）. Those rats were given relevant medicine intragasttrically for 4 d； clinical symptoms of rats were observed and body weight was recorded during experiment. Within 3 h after last medication， the rats were sacrificed； liver， renal and lung weight were weighed； liver， kidney， lung and peripheral blood lymphocytes were collected. The single cell suspension was prepared to perform alkaline comet assay. After lysis， unwind， electrophoresis and dying， tail DNA％ and tail distance of samples were analyzed by Komet 6.0 software. RESULTS： Compared with negative control group， body weight， liver and renal weight of rats were decreased significantly in PCZ 75 mg/kg group， PCZ 150 mg/kg group and positive control group 4 d after medication （P＜0.05 or P＜0.01）. Body weight of rats were decreased significantly in EC 800    mg/kg 4 d after medication （P＜0.05 or P＜0.01）； there was no statistical significance （P＞0.05）. Compared with negative control group， tail DNA％ and tail distance in liver， kidney and peripheral blood lymphocytes were increased significantly in PCZ 75    mg/kg group， PCZ 150 mg/kg group and positive control group （P＜0.05 or P＜0.01）； PCZ showed more significant effects on liver and lung. Tail DNA％ and tail distance of liver， kidney and peripheral blood lymphocytes were increased significantly in EC 800 mg/kg group （P＜0.05 or P＜0.01）， and tail DNA％ and tail distance of renal tissue was increased significantly in EC 400   mg/kg group （P＜0.05）. CONCLUSIONS： PCZ induced stronger DNA damage； liver and lung are the major genotoxicity target of PCZ. EC-induced DNA damage is relatively weak， and kidney is the most sensitive organ for EC-induced genotoxicity.

OBJECTIVES: To explore and analyze the epidemic features of coronavirus disease 2019 (COVID-19) in Hunan Province from January 21, 2020 to March 14, 2020, as well as to investigate the COVID-19 epidemics in each city of Hunan Province. METHODS: The epidemic data was obtained from the official website of Hunan Province's Health Commission. The data of each city of Hunan Province was analyzed separately. Spatial distribution of cumulative confirmed COVID-19 patients and the cumulative occurrence rate was drawn by ArcGIS software for each city in Hunan Province. Some regional indexes were also compared with that in the whole country. RESULTS: The first patient was diagnosed in January 21, sustained patient growth reached its plateau in around February 17. Up to March 14, the cumulative confirmed COVID-19 patients stopped at 1 018. The cumulative occurrence rate of COVID-19 patients was 0.48 per 0.1 million person. The number of cumulative severe patients was 150 and the number of cumulative dead patients was 4. The mortality rate (0.39%) and the cure rate (99.6%) in Hunan Province was significantly lower and higher respectively than the corresponding average rate in the whole country (0.90% and 96.2%, Hubei excluded). The first 3 cities in numbers of the confirmed patients were Changsha, Yueyang, and Shaoyang. While sorted by the cumulative occurrence rate, the first 3 cities in incidence were Changsha, Yueyang, and Zhuzhou. CONCLUSIONS The epidemic of COVID-19 spread out smoothly in Hunan Province. The cities in Hunan Province implement anti-disease strategies based on specific situations on their own and keep the epidemic in the range of controllable.
Betacoronavirus ; China ; epidemiology ; Cities ; epidemiology ; Coronavirus Infections ; epidemiology ; mortality ; Humans ; Pandemics ; Pneumonia, Viral ; epidemiology ; mortality

OBJECTIVES: Glioma is the most common intracranial primary tumor in central nervous system. Glioma grading possesses important guiding significance for the selection of clinical treatment and follow-up plan, and the assessment of prognosis. This study aims to explore the feasibility of logistic regression model based on radiomics to predict glioma grading. METHODS: Retrospective analysis was performed on 146 glioma patients with confirmed pathological diagnosis from January, 2012 to December, 2018. A total of 41 radiomics features were extracted from contrast-enhanced T RESULTS: A total of 5 imaging features selected by LASSO were used to establish a logistic regression model for predicting glioma grading. The model showed good discrimination with AUC value of 0.919. Hosmer-Lemeshow test showed no significant difference between the calibration curve and the ideal curve ( CONCLUSIONS The logistic regression model using radiomics exhibits a relatively high accuracy for predicting glioma grading, which may serve as a complementary tool for preoperative prediction of giloma grading.
Brain Neoplasms/diagnostic imaging* ; Glioma/diagnostic imaging* ; Humans ; Logistic Models ; Magnetic Resonance Imaging ; ROC Curve ; Retrospective Studies

To explore the feasibility and efficacy of artificial neural network for differentiating high-grade glioma and low-grade glioma using image information.
 Methods: A total of 130 glioma patients with confirmed pathological diagnosis were selected retrospectively from 2012 to 2017. Forty one imaging features were extracted from each subjects based on 2-dimension magnetic resonance T1 weighted imaging with contrast-enhancement. An artificial neural network model was created and optimized according to the performance of feature selection. The training dataset was randomly selected half of the whole dataset, and the other half dataset was used to verify the performance of the neural network for glioma grading. The training-verification process was repeated for 100 times and the performance was averaged.
 Results: A total of 5 imaging features were selected as the ultimate input features for the neural network. The mean accuracy of the neural network for glioma grading was 90.32%, with a mean sensitivity at 87.86% and a mean specificity at 92.49%. The area under the curve of receiver operating characteristic curve was 0.9486.
 Conclusion: As a technique of artificial intelligence, neural network can reach a relatively high accuracy for the grading of glioma and provide a non-invasive and promising computer-aided diagnostic process for the pre-operative grading of glioma.
Brain Neoplasms ; diagnostic imaging ; pathology ; Glioma ; diagnostic imaging ; pathology ; Humans ; Magnetic Resonance Imaging ; Neoplasm Grading ; Neural Networks, Computer ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity