1.Expression of c-myc and cdc2 gene in hypercholesterolemic rabbit following iliac-femoral angioplasty
Zhanjun GUAN ; Chuansen ZHANG ; Youxin JIN ;
Academic Journal of Second Military Medical University 1981;0(04):-
Objective:To investigate the expression of c myc and cdc2 gene in iliac femoral arteries of rabbits fed with high cholesterol diet. Methods:Totally 24 New Zealand rabbits fed with high cholesterol and high lipid diet were chosen for the experiment. In treated groups,the iliac femoral arteries were dilated by balloon catheter in 2 week high lipid diet fed rabbits. After 6 8 weeks,angiography was performed to detect the stenosis in iliac femoral,and ballon dilation was carried out when stenosis beyond 50%. Expression of c myc and cdc2 mRNA (24 h following balloon dilation) and their proteins (2 weeks following balloon dilation) were measured by means of RT PCR and immunohistochemistry (GISS) methods. Results: Expressions of c myc,cdc2 mRNA and their proteins in dilated arteries were all increased 24 h and 2 weeks following balloon dilation. Immuno positive particles were mainly located at nuclei of SMC in neotima layer,and a little at cytoplasma. Conclusion: Expressions of c myc,cdc2 mRNA and their proteins are increased in arteries following angioplasty. It is indicated that c myc and cdc2 may play an important role in neointimal formation after angioplasty.
2.Computer-assisted design of TIMP-1 ribozyme
Jing GUO ; Dezhong LIU ; Jianming WU ; Zihao LIN ; Youxin JIN ;
Academic Journal of Second Military Medical University 2000;0(11):-
Objective: To design the ribozymes to cleave human TIMP 1 mRNA, and embed them into U 6snRNA to make them stable. Methods: Ribozymes were designed according to the “hammerhead structure” described by Symons.Computer was used to analyze the possible cleavage sites. Results: Three ribozymes targeting the nt123, nt299 and nt353 on TIMP 1 mRNA were designed. Embedding ribozyme in U 6snRNA had little effect on its binding with the substrate. Conclusion: Computer assisted design is indispensable in studying ribozyme. Embedding ribozymes in U 6snRNA may be a good way to solve the problems existing in ribozyme study. [
3.Role of renal progenitor-like tubular cells in the repair of acute renal tubular necrosis
Chunyue FENG ; Juauping SHAN ; Xinxin JIANG ; Jin KUNLIN ; Mingxi LU ; Youxin YE
Chinese Journal of Nephrology 2011;27(4):276-281
Objective To elucidate the role of renal progenitor-like tubular cells in the repair process after acute tubular necrosis(ATN)induced by ischemia. Methods Rat ATN was developed by clamping left kidney artery for 60 minutes,and bromodeoxyuridine(BrdU),a cell division and proliferation marker,was administrated one hour before rats were sacrificed.Kidneys were isolated at 1,3,5,7,14,21,28 days after injury.The proliferative and apoptotic cells were determined by immunostaining using anti-BrdU,Pax2(an embryonic renal marker),vimentin(an immature mesenchymal cell marker),and activated caspase-3(a cell apoptosis marker). Results Cell death was found in tubules at day 1 after ischemia and reperfusion injury.BrdU-positive cells were dramatically increased and reached peak at day 3 after injury.In addition,the number of BrdU positive cells in the contralateral kidney was significantly increased compared to sham operated group.Double immunostaining showed that BrdU-positive cells co-expressed Pax2 or vimentin,but not activated caspase-3. Conclusions Renal progenitor-like tubular cells may play a predominant role in repair process following ATN in rats.They may dedifferentiate,proliferate,and then redifferentiate into mature tubular cells.Growth factors may regulate the repair process.
4.Study on the configuration and training of doctors and nurses in the healthcare service institutions in Heilongjiang Province
Youxin JIN ; Jie PIAO ; Libin YANG ; Shuang KANG ; Jinmei LI ; Wei ZHANG ; Siao GE ; Depin CAO
Chinese Journal of Medical Education Research 2017;16(3):242-246
Objective To describe and analyze the status quo of the doctor and nurse configuration in Heilongjiang Province,and to study their cultivation condition while predicting the number of medical staff.Methods Through the health workforce database of Heilongjiang Province in 2014,using Excel 2007 statistical software,the status quo of doctor and nurse configuration was analyzed.The grey prediction model was also used to analyze the number of medical staff in Heilongjiang province from 2004 to 2014,and the number of medical staff in Heilongjiang province from 2016 to 2018 was predicted.Results Up to 2015,the number of doctors and nurses in Heilongjiang Province accounted for 0.42% of the total population,composed of mainly young and middle-aged staff and mostly with bachelor's degree and junior college certificate.Doctor-to-nurse ratio was 1:0.96.The grey prediction model indicated that the number of medical staff in Heilongjiang Province would increase year by year,and the inversion of doctor-to-nurse ratio would be eased.Conclusion The reform and development of medical education in Heilongjiang Province has promoted the optimization of the professional title structure and educational structure.It is expected that by 2016 Heilongjiang medical care ratio inversion problem will be completely resolved.
5.Validation and application of an artificial intelligence robot assisted diagnosis system for diabetic retinopathy
Shaohui GAO ; Xuemin JIN ; Zhaoxia ZHAO ; Weihong YU ; Youxin CHEN ; Yuhui SUN ; Dayong DING
Chinese Journal of Experimental Ophthalmology 2019;37(8):669-673
Objective To evaluate the performance of an artificial intelligence ( AI ) assisted diagnosis system for diabetic retinopathy ( DR) based on deep learning theory. Methods Diagnostic performance of a robot assisted diagnosis system called SongYue for DR was trained by using 25297 retinal images tagged by fundus doctors from multiple hospitals in China. Four types of DR detection model consisting of abnormal DR,referable DR,severe non-proliferative and proliferative DR as well as proliferative DR according to fundus leisions identification were established. The ability of the system to distinguish DR was determined by using receiver operator characteristic (ROC) analysis,sensitivity and specificity of the system. Results SongYue system achieved an area under the ROC curve ( AUC) of 0. 920 for successfully distinguishing normal images from those DR with a sensitivity of 96. 0%at a specificity of 87. 9%. The AUC of SongYue for referable DR was 0. 925,sensitivity was 90. 4%,and specificity was 95. 2%. For severe non-proliferative and proliferative DR,AUC was 0. 845,sensitivity was 72. 7%,and specificity was 96. 2%. For proliferative DR, AUC was 0. 855, sensitivity was 73. 5%, and specificity was 97. 3%. Conclusions SongYue robot assisted diagnosis system has high AUC,sensitivity and specificity for identifying DR, showing good clinical applicable benefits.