1.Detection of Yersinia Enterocolitica Bacteriophage PhiYe-F10 Lysis Spectrum and Analysis of the Relationship between Lysis Ability and Virulence Gene of Yersinia Enterocolitica.
Tao ZHA ; Junrong LIANG ; Yuchun XIAO ; Huaiqi JING
Chinese Journal of Virology 2016;32(2):185-189
To determine the lysis spectrum of Yersinia enterocolitica bacteriophage phiYe-F10 and to analyze the relationship between the lysis ability of phiYe-F10 and the virulence gene of Yersinia enterocolitica. To observe the lysis ability of the phage phiYe-F10 to the different Yersinia strains with the double-layer technique. The strains used in this study including 213 of Yersinia enterocolitica and 36 of Yersinia pseudotuberculosis and 1 of Yersinia pestis. The virulence genes of these Yersinia enterocolitica (attachment invasion locus (ail) and enterotoxin (ystA, ystB) and yersinia adhesin A (yadA), virulence factor (virF), specific gene for lipopolysaccharide O-side chain of serotype O : 3 (rfbc) were all detected. Among the 213 Yersinia enterocolitica, 84 strains were O : 3 serotype (78 strains with rfbc gene), 10 were serotype O : 5, 13 were serotype O : 8, 34 were serotype O : 9 and 72 were other serotypes. Of these, 77 were typical pathogenic Yersinia enterocolitica harboring with virulence plasmid (ail+, ystA+, ystB-, yadA+, virF+), and 15 were pathogenic bacterial strains deficiency virulence plasmid (ail+, ystA+, ystB-, yadA-, virF-) and the rest 121 were non pathogenic genotype strains. PhiYe-F10 lysed the 71 serotype O : 3 Yersinia enterocolitica strains which were all carried with rfbc+, including 52 pathogenic Yersinia enterocolitica, 19 nonpathogenic Y. enterocolitica. The phiYe-F10 can not lysed serotype O : 5, O : 9 and other serotype Y. enterocolitica, the lysis rate of serotype O : 3 was as high as 84.5%. The phiYe-F10 can not lysed Yersinia pseudotuberculosis and Yersinia pestis. Yersinia phage phiYe-F10 is highly specific for serotype O : 3 Yersinia enterocolitic at 25 degrees C, which showed a typical narrow lysis spectrum. Phage phiYe-F10 can lysed much more pathogenic Y. enterocolitica than nonpathogenic Y. enterocolitica.
Bacterial Proteins
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genetics
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metabolism
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Bacteriophages
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genetics
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isolation & purification
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physiology
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Host Specificity
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Virulence Factors
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genetics
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metabolism
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Yersinia enterocolitica
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genetics
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metabolism
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virology
2.Content Determination of Main Component and Related Substances in Amlodipine Maleate Dispersible Tablets by HPLC
Yifu TAO ; Fang QIAN ; Sheng LOU ; Junrong ZHU
China Pharmacy 2005;0(17):-
OBJECTIVE: To established an HPLC method for the determination of main component and related substances in amlodipine maleate dispersible tablets. METHODS: The separation was performed on a Lichrospher C18 column. The mobile phase consisted of methanol-0.03 mol?L-1 potassium dihydrogen phosphate (70 ∶ 30) at the flow rate of 1 mL?min-1. The detection wavelength was set at 237 nm and column temperature was 30 ℃. RESULTS: The linear range of amlodipine maleate were 31.94~127.75 ?g?mL-1 (r=0.999 8, n=5). The average recovery was 99.5% (RSD=0.39%, n=9). The contents of related substance were all lower than 0.38%. CONCLUSION: The method is simple, rapid, accurate and specific for the quality control of amlodipine maleate dispersible tablets.
3.Study on the Correlation between International Normalized Ratio with Plasma Concentration of Warfarin En-antiomer and Dose Density after Cardiac Valve Replacement
Junrong ZHU ; Xin CHEN ; Xianhua HONG ; Yubing ZHU ; Yifu TAO
China Pharmacy 2015;(30):4195-4197
OBJECTIVE:To discuss the correlation between Interntion Normalized Ratio(INR)with concentration of warfarin enantiomer and dose density after cardiac valve replacement. METHODS:The plasma concentration of R-warfarin or S-warfarin, dose of unit weight and INR of 176 patients with anticoagulation after cardiac valve replacement in each time point were moni-tored,and the correlation of INR and warfarin plasma concentration or dose was observed. RESULTS:Doses of all patients in 24-288 h were significantly higher than 0 h,the differences were statistically significant(P<0.001),the dose was fluctuated within a certain range after 96 h,and compared with 96 h,there were no significant differences(P>0.05). Average plasma concentration of R-warfarin or S-warfarin had consistent trend,plasma concentration of enantiomers was fluctuated within a certain range after 108 h,there were no significant differences(P>0.05). Compared with 0 h,there was no significant difference when INR was 12 h (P>0.05),it increased significantly in 36 h and had been increasing,then fluctuated within a certain range after 108 h,compared with 108 h,there were no significant differences(P>0.05). The correlation coefficient between INR and unit weight dose of warfa-rin in 60 h>36 h>12 h,it showed correlation(P<0.001). There was certain correlation between plasma concentration of warfarin and dose density in 12,36 and 60 h. CONCLUSIONS:The correlation between plasma concentration of warfarin and unit weight dose is stronger than the correlation between INR and unit weight dose. When combined with other coagulation,it may help to man-age warfarin dose.
4.Validate Padua prediction score′s ability to predict the risk of venous thromboembolism in medical inpatients
Chinese Journal of Practical Nursing 2018;34(32):2496-2501
Objective To explore the Padua risk assessment model for the application of the prevention of VTE in medical inpatients. Methods A cross-sectional surgery research method was used. A total of 3 990 patients were interviewed of a hospital between June and August in 2017. The Padua assessment model was used to screen patients for VTE risk assessment. Results 3990 patients were interviewed, in which,a high VTE risk was found in 757 cases, accounting for 18.97%. The number and ratio of patients with high risk of VTE in Respiration department (158/32.18%), Endocrinology department (48/7.00%), Neurology department (91/20.31%), Nephrology department (102/18.58%), Gastroenterology epartment (41/8.63% ), Cardiology department (139/29.45% ), Hematology department (69/ 17.12% ) and Medical oncology department (109/23.40% ). Patients with high risk VTE in 11 risk factors were (246/32.5% ), (58/7.66% ), (531/70.15% ), (4/0.53% ), (92/12.15% ), (493/64.99% ), (74/9.78% ), (89/11.76% ), (131/17.31% ), (25/3.30% ), (72/9.51% ), two groups compare between age≥70 and <70 was statistically significant (χ2=952.20, P=0.00), two group compare between mobility and reduced mobility was statistically significant (χ2=1832.28, P=0.00). Conclusions Medical inpatients have a high risk of VTE, it is suggested that include VTE in clinical quality evaluation standard, establish an effective system of VTE risk management. The Padua risk assessment model has been easy to use. Some medical department should be special attention, and has been great significance to early screening and prevention.