1.Clinical effects and adverse reactions of oral azithromycin and oral and vein erythromycin in the treatment of respiratory tract infection in children
Yanxiong ZHAO ; Sulin SHI ; Shanshan LIU
Chinese Journal of Biochemical Pharmaceutics 2017;37(4):376-378
Objective To compare and analyze the clinical effect and adverse reaction of oral azithromycin,oral and intravenous erythromycin on the treatment of mycoplasma infection in respiratory tract.Methods In our hospital in January 2015~March 2016 year,clinical datas of 110 cases with mycoplasma infection in respiratory tract in children were analyzed retrospectively.The total cases were randomly divided into the oral azithromycin treatment group(38 cases),oral erythromycin treatment group(36 cases)and erythromycin intravenous group(36 cases).The therapeutic effects and the adverse reactions were evaluated in the three groups.ResultsThe effective rate in the oral azithromycin group was significantly higher than that of the two other groups.The time of fever fading,rales and cough disappearance and the hospitalized day in the the oral azithromycin group were significantly shorter than that in the other two groups.Serum IL-8,TNF-alpha and hs-CRP level and the adverse reaction rate in the the oral azithromycin was significantly lower than that in the other two groups.The differences of all above the indexes were statistically significant(all P<0.05),the above index in the oral erythromycin group and erythromycin intravenous group was no statistical significance.Conclusion Compared with different medication route of erythromycin,it can get better results which oral azithromycin was used on the treatment of children with respiratory tract mycoplasma infection,the adverse reactions rate is lower,is a safe and effective treatment.
2.Optimization of the Forming Process of Mingmu Yijing Pills Based on AHP-CRITIC Mixed Weighting Method
Chunhong YANG ; Shu LI ; Qi ZHAO ; Qian SHI ; Yanxiong GAN ; Xianrong LAI ; Rui LI
Chinese Journal of Modern Applied Pharmacy 2024;41(5):672-677
OBJECTIVE
To clarify the weight index and optimize the technology of compound Mingmu Yijing pills.
METHODS
Water content, dissolution time limit and bolus-forming pass rate were included as evaluation indexes. The analytic hierarchy process(AHP) and the criterion importance through inter-criteria correlation(CRITIC) method based on the objectivity of indicators were adopted, AHP-CRITIC mixed weighting method. In this way, the relative coefficients of each index were calculated for weight distribution and comprehensive score, and the molding process was optimized and verified by Box-Behnken response surface test.
RESULTS
Compared with the single weighting method, the AHP-CRITIC mixed weighting method was more reasonable and stable. This method finally optimized the forming process conditions of Mingmu Yijing pills as follows: adding water amount of 0.8 times, the damp mass infiltration for 0.5 h, drying temperature of 60 ℃, drying time of 8 h. The mean comprehensive score of validation experiment was 88.21, RSD was 0.29%.
CONCLUSION
AHP-CRITIC method scientifically determines the weight of multiple indicators, and the verification test confirms that the optimized molding process is stable and feasible, which can be used in practical large-scale production.
3.Prediction of the anti-inflammatory mechanisms of curcumin by module-based protein interaction network analysis.
Yanxiong GAN ; Shichao ZHENG ; Jan P A BAAK ; Silei ZHAO ; Yongfeng ZHENG ; Nini LUO ; Wan LIAO ; Chaomei FU
Acta Pharmaceutica Sinica B 2015;5(6):590-595
Curcumin, the medically active component from Curcuma longa (Turmeric), is widely used to treat inflammatory diseases. Protein interaction network (PIN) analysis was used to predict its mechanisms of molecular action. Targets of curcumin were obtained based on ChEMBL and STITCH databases. Protein-protein interactions (PPIs) were extracted from the String database. The PIN of curcumin was constructed by Cytoscape and the function modules identified by gene ontology (GO) enrichment analysis based on molecular complex detection (MCODE). A PIN of curcumin with 482 nodes and 1688 interactions was constructed, which has scale-free, small world and modular properties. Based on analysis of these function modules, the mechanism of curcumin is proposed. Two modules were found to be intimately associated with inflammation. With function modules analysis, the anti-inflammatory effects of curcumin were related to SMAD, ERG and mediation by the TLR family. TLR9 may be a potential target of curcumin to treat inflammation.