Objective To study the clinical significance of changes of plasma GMP-140 and lipid levels in patients with acute pancreatitis.Methods GMP-140 was determined by ELISA and plasm a lipid levels were determined with an auto-biochemical analyzer in 58 patients with acute pancreatitis and in 33 healthy(individuals) as control group.Results The levels of plasma GMP-140, total cholesterol(TC),low-density lipoprotein(LDL-C) in acute pancreatitis were higher than in the that control group(P

Objective: To explore the possible mechanism of statins improving endothelial function via observing the effect of a high single dose atorvastatin on endothelial dysfunction and peripheral blood leucocyte Rho kinase activity in patients with unstable angina (UA). Methods: A total of 78 consecutive UA patients admitted in our hospital from 2012-08 to 2014-02 were enrolled. The patients received a single dose of atorvastatin 80 mg on the day of admission. Flow-mediated vasodilation (FMD) of brachial artery was examined by high-resolution ultrasound at before and 12 hours after medication. Protein expression of phospho-speciifc Thr853-MYPT1 (p-MYPT1Thr853) and MYPT1 was measured by Western blot analysis; peripheral blood leukocyte Rho kinase activity was assayed by the proportion of phospho-Thr853 in myosin binding subunit of light chain phosphatase (MYPT1). Results: Compared to prior medication, with atorvastatin 80 mg for 12 hours, FMD was increased 28.15% as (6.50 ±1.68) % vs (8.33 ± 1.93) %,P<0.001 and peripheral blood leucocyte Rho kinase activity was decreased 32.78% as (58.91 ± 5.22) % vs (39.6 ± 3.85 ) %,P=0.002. Conclusion: High dose atorvastatin could rapidly improve vascular endothelial dysfunction in UA patients. inhibiting of RhoA/Rho kinase pathway may involve in the effect of statins improving endothelial function.

Objective To analysis the activity of transcriptional factors in endometrial cancer cell lines with different estrogen receptor subtypes. Methods The mRNA levels of estrogen receptor (ER) was detected by quantitative RT-PCR , and the activity of transcriptional factors was also analysed by 345-channel protein/DNA array in RL-952 ( the expression status of ERα and ERβ both positive), HEC-1A [ERα(±),while ERβ negative] and HEC-1B (ERα and ERβ both negative). The transcription factors of NFkBp65 and p38MAPK with different activity were tested by enzyme-linked immunosorbent assay(ELISA) to confirm the results of protein/DNA array. Results The mRNA levels of ERα in RL-952, HEC-1A and HEC-1B were (6780±282 ), ( 684±84 ) and ( 168±38 ) eopy/ng, respectively. Among 345 candidate transcriptional factors, there were 28 factors associated with ER status. Compared with RL-952 cells, 13 transcriptional activity factors were concomitandy up-regulation, while 15 concomitantly down-regulation in HEC-1A and HEC-1B cells. Transcriptional activities of TrF (1)-1, NRF-1, TCE were significantly correlated with the high-expression status of ERα mRNA ( r =0.523, P=0.037 ), while RFX123 and Ikaros were signitleanfly correlated with the low-expression status of ERα mRNA ( r=-0.312, P=0.041 ). Conclusion Transcriptional factors of TTF(1)-1, NBF-1, TCE may be associated with ER-mediated signal pathway, while RFX123 and Ikaros may be associated with non ER-mediatecl signal pathway in endometrial cancer.

Introduced in the paper is a success story of the Singapore National Eye Center (SNEC) and Singapore Eye Research Institute (SERI) in medical care,research and education.Especially noteworthy are their initiatives in talent development,research and international cooperation,which are expected to be learnt by large eye care and research institutions in China in their discipline development,translational research and interdisciplinary talents development.

In this study, it is to compare the effectiveness of prevention against and treatment of doxorubicin (DOX) induced cardiotoxicity by dexrazoxane and schisandrin B (Sch B) in rats. Sprague-Dawley (SD) rats were randomly divided into the following 6 groups: normal saline group, DOX group, DOX+DEX group, DOX+Sch B (80 mg x kg(-1)) group, DOX+Sch B (40 mg x kg(-1)) group and DOX+Sch B (20 mg x kg(-1)) group. The results showed that Sch B could combat the increase of myocardial enzymes in peripheral blood, decrease of the enzyme activity of myocardial tissue antioxidant enzymes and disorders of systolic and diastolic function of heart in rats intravenously injected with doxorubicin (15 mg x kg(-1)). Sch B was better than DEX in protecting rat against DOX-induced the symptoms. Sch B could protect rat against DOX-induced acute cardiomyopathy and has clinical potential applications.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.