1.Tripartite motif-containing protein 59 inhibits inflammation and lung injury by regulating HIF-1α-mediated lactic acid secretion and IL-10 expression in macrophages
Yinan WANG ; Hui HUANG ; Xinyu CHAI ; Qiong WU ; Yuxi WANG ; Yuyang HOU ; Dongmei YAN
Chinese Journal of Microbiology and Immunology 2024;44(3):205-211
Objective:To investigate the effect of tripartite motif-containing protein 59 (TRIM59) on glucose metabolism in macrophages and its role in regulating hypoxia-inducible factor-1α (HIF-1α)/IL-10 axis in macrophages under inflammatory conditions.Methods:The differentially expressed genes between macrophages with high expression of TRIM59 and control cells transfected with empty TRIM59 plasmid were analyzed by GO and KEGG. The expression of HIF-1α by RAW264.7 macrophages with high expression of TRIM59 was detected at different time points after lipopolysaccharide (LPS) stimulation by RT-qPCR and Western blot. Bone marrow was isolated from TRIM59-cKO and TRIM59 flox/flox mice and induced to differentiate into bone marrow-derived macrophages (BMDMs). These BMDMs were stimulated with LPS and the supernatants of cell culture were collected at 3, 6, 12 and 24 h after stimulation to detect IL-10 level by ELISA. In addition, mouse models of cecal ligation and puncture (CLP) were established, and bronchoalveolar lavage fluid (BALF) samples were collected at the same time points to detect IL-10 level by ELISA. Histopathological changes in lung tissues were observed after HE staining. Results:There was a significant change in glucose metabolism-related genes in macrophages with high expression of TRIM59, and the content of lactic acid increased significantly. Compared with the control group, the expression of HIF-1α at mRNA level in BMDMs from TRIM59-cKO mice decreased after LPS stimulation ( P<0.05); the level of IL-10 increased at 3 h and 24 h in the TRIM59-cKO group, but there was no significant difference in IL-10 level at 6 h or 12 h between the two groups. In the TRIM59-cKO mouse model of CLP, the levels of IL-10 in the BALF samples increased with time, but decreased at 24 h. The level of IL-10 was higher in the TRIM59-cKO mouse model group than that in the control group at each time point ( P<0.05 or P<0.01). Conclusions:TRIM59 can inhibit inflammation and lung injury by decreasing HIF-1α-mediated lactate secretion and IL-10 expression in macrophages. This study provides a new idea for developing novel anti-sepsis drugs based on TRIM59.
2.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
3.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
4.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
5.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
6.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
7.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
8.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
9.Analysis of Grouping Effect of Gastric Cancer Patients and Influencing Factors of Hospitalization Cost based on DRG
Xuqiang DONG ; Rui SU ; Xi CHAI ; Bin WAN ; Guangfeng WANG ; Chong GAO ; Chengye CHE ; Dongmei MENG
Chinese Hospital Management 2024;44(9):70-74
Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P<0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.
10.Lipid lowering effects and safety of evolocumab in Chinese patients at very high cardiovascular risk: a single-center study.
Meng CHAI ; Haitao ZHANG ; Lixia YANG ; Jing LIANG ; Hongya HAN ; Xiaoli LIU ; Xiaoteng MA ; Yan LIU ; Dongmei SHI ; Yingxin ZHAO ; Yuyang LIU ; Yujie ZHOU
Chinese Medical Journal 2023;136(11):1358-1360

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