Objective To determine the expression level of microRNA-25 in animal models of diabetic nephropathy and human renal tubular epithelial cells (HK-2) cultured in different conditions, and to explore its regulating effect on the fibrosis in diabetic nephropathy. Methods The expression of microRNA-25 was detected by real-time PCR. The downstream target protein of microRNA-25 was verified by bioinformatic prediction, transient transfection of cells and Western blotting. Results MicroRNA-25 was down-regulated in animal models of diabetic nephropathy and HK-2 cells which were cultured in high-glucose medium (P<0. 01). MAP2K4 might be the downstream target protein of microRNA-25. Overexpression of microRNA-25 reduced the protein expression of MAP2K4 and α-SMA (P<0. 01). Conclusion MicroRNA-25 inhibits the fibrosis in diabetic nephropathy by regulating the expression of MAP2K4.

Objective To explore the program of convolutional neural networks for the diagnosis of schizophrenia and evaluate its effects. Methods Using the convolutional neural network,the training model was trained in the lead data of 138 normal people and 183 schizophrenic patients,and the model was valida-ted by 20-fold cross-validation. Results The true positive rate of schizophrenia prediction using the convolu-tional neural network training model was 0. 749, the false positive rate was 0. 275, and the accuracy was 0. 738. Conclusion This model can achieve a strong diagnostic ability for patients with schizophrenia. Therefore,convolutional neural network for the diagnosis of schizophrenia will become an important research direction in the future.

Strengthening the supervision over the use of large-scale medical equipment is an effective means to improve the efficiency of equipment use and the quality of medical services, and it is an important part of promoting the construction of the Healthy China and the development of health undertakings. Through four stages of preliminary demand investigation, intelligent collection of data, intelligent analysis and evaluation, and continuous improvement, a large-scale medical equipment intelligent management platform was built in our hospital. Real-time data collection, interconnection, analysis and evaluation were achieved, which could help the use and supervision, improve efficiency and effectiveness, and optimize the evaluation system.

【Objective】 To establish a dry fluorescent luminescence method for the detection of antibodies to hepatitis C virus (HCV) and evaluate its clinical application. 【Methods】 Anti-HCV antibody was detected by double-antigen sandwich dry fluorescent luminescence method established using multi-epitope chimeric antigen. The established method was used to detect national reference samples(positive 20, negative 20), and a total of 349 clinical samples, including 108 HCV patients, 36 patients with other diseases and 205 healthy individuals, which were tested in parallel with enzyme-linked immunoassay (ELISA) to evaluate the performance of the established method. 【Results】 The concordance rate of positive and negative(each 20) reference samples were both 100% (20/20), and the CV of precision reference sample was 9.16%, which met the requirements of national reference samples. In clinical performance evaluation, the AUC value was 0.984, and the sensitivity and specificity of the dry fluorescent luminescence method were 96.30% (104/108) and 96.27% (233/241). The overall concordance rate between dry fluorescent luminescence method and ELISA was 97.71% (341/349) (Kappa=0.952). 【Conclusion】 The dry fluorescence luminescence method of HCV antibody is simple and rapid, with high sensitivity and high specificity, and can be used in clinical application.