1.Influencing factors of in-stent restenosis after coronary artery stent implantation
Fei GONG ; Xuedong GAN ; Jinye DING ; Jing WAN
Chinese Journal of cardiovascular Rehabilitation Medicine 2015;24(6):593-597
Objective: To analyze influencing factors of in-stent restenosis after coronary artery stent implantation, to provide theoretical support for clinical prevention of restenosis. Methods: Clinical data of 123 patients, who received coronary artery stent implantation in our hospital from Mar 2011 to Sep 2013 and received coronary angiography follow-up one year after operation, were retrospectively analyzed. In-stent restenosis was regarded as stenosis of inner diameter of implanted stent≥50%, so patients were divided into restenosis group (n=35) and non-restenosis group (n=88). Multi-factor Logistic regression analysis was used to analyze influencing factors of coronary in-stent restenosis. Results: Compared with non-restenosis group, there were significant reductions in serum level of total bilirubin [(14.02±6.76) μmol/L vs. (10.90±4.51) μmol/L] and stent diameter [(3.06±0.86) mm vs. (2.87±0.44) mm] in restenosis group, P<0.01 both. Multi-factor Logistic regression analysis indicated that blood glucose level was independent risk factor for restenosis after coronary artery stent implantation (OR=2.545, P=0.035), while stent diameter and serum level of total bilirubin were its protective factors (OR=0.857, 0.850, P<0.05 both). Conclusion: Blood glucose level is an independent risk factor for restenosis after coronary artery stent implantation, while stent diameter and serum level of total bilirubin are its protective factors.
2.Analysis on job stress assessment in BSL-3 laboratories
Yuena DING ; Bifei YUAN ; Jinye LIU ; Zhigang SONG ; Zhong LIN ; Jingqing WENG ; Hangping YAO ; Zhijiao TANG ; Zhiping SUN ; Wendong HAN ; Di TIAN ; Zhitong ZHOU ; Junming DAI ; Di QU
Chinese Journal of Comparative Medicine 2014;(10):82-89
Objective The staffs of biosafety level 3 laboratories (BSL-3) face with the stress of handling highly pathogenic microbs and special laboratory environment.The job stress may result in accidents in the laboratory as negative factor for the risk control.The research may provide support for the control of risk in biosafety laboratories.Methods In order to assess the job stress in the staff in BSL-3 laboratory, we modified “the Chinese simple job stress questionnaire”based on the theory of the JDC mode and ERI mode, and an investigation was carried out.The present study included the staffs (87 employees) from six BSL-3 laboratories located in five provinces ( Shanghai, Zhejiang, Jiangsu, Fujian and Wuhan) .Results Analysis of the data indicates that variables of age, working years, job duties, manipulating of animals, type of microorganisms and transmission route have a significant influence on the level of job stress in BSL-3 laboratory.Conclusion The BSL-3 laboratory staff in higher stress level have the characteristicses:20-39 years old, short work years, regular staff, operating on air-borne microbiology, manipulating of animals and operating on one more microbiology.
3.Complexities in necroptosis and tumor
Journal of International Oncology 2018;45(10):624-626
The complexities in necroptosis are pivotal signal molecules in the pathway.Its formation is regulated by a series of factors such as necrosome and ripoptosome.The studies have found that the complexities in necroptosis are closely related to multiple neoplasms,such as pancreatic ductal adenocarcinoma and glioma.Further study on the regulatory mechanism of them will provide a new idea for molecular cancer therapeutics.
4.Content Determination of Related Substances in Terlipressin for Injection by UPLC
Qiaoru XUE ; Jinye YUAN ; Liuyang DING ; Weijun ZHENG ; Feng DENG
China Pharmacy 2020;31(9):1108-1112
OBJECTIVE:To establish UPLC method for the content determination of related substances in Terlipressin for injection. METHODS :UPLC method was used to determine the contents of related substances in 5 batches of Terlipressin for injection. The separation was performed on Xtimate UPLC C 18 column with mobile phase A consisted of ammonium sulfate buffer (pH 2.3)-methanol(90 ∶ 10,V/V)and mobile phase B consisted of ammonium sulfate buffer (pH 2.3)-methanol(60 ∶ 40,V/V) (gradient elution )at the flow rate of 0.2 mL/min. The detection wavelength was set at 210 nm,and sample size was 5 μL. RESULTS:The linear range of impurity A ,B,C,D,F,H,I,K,L and N were 0.43-3.86,0.44-3.95,0.44-3.97,0.45-4.08, 0.45-4.05,0.50-4.50,0.47-4.26,0.47-4.23,0.46-4.13,0.44-3.96 μg/mL(r≥0.999 7),respectively. The detection limits were 0.04, 0.04,0.05,0.04,0.05,0.05,0.05,0.05,0.04 μg/mL. The quantitation limits were 0.13,0.13,0.14,0.13,0.15,0.14,0.14, 0.14,0.13 μg/mL,respectively. RSDs of precision ,reproducibility and stability tests were all lower than 8%. The average recoveries were 94.95%,97.81%,101.88%,95.26%,93.40%,102.48%,104.26%,102.31%,96.42%,90.42%,with RSD s of 1.89%,1.86%,0.68%,1.30%,1.98%,3.36%,1.26%,1.30%,1.19%,1.40%(n=9),respectively. Total contents of impurities in 5 batches of Terlipressin for injection were all lower than 4%. CONCLUSIONS :Established method is rapid ,simple, accurate and specific ,which can be used for the quantitative analysis for related substances in Terlipressin for injection.