1.Effect and mechanism of bumetanide on lung injury in chronic obstructive pulmonary disease model rats
Yu LEI ; Jing LU ; Wenjuan HE ; Jiaying GU ; Dengfeng ZHOU
China Pharmacy 2025;36(8):939-944
OBJECTIVE To investigate the effect and mechanism of bumetanide on lung injury in chronic obstructive pulmonary disease (COPD) model rats. METHODS COPD rat model was induced by lipopolysaccharide, and they were randomly divided into model group (COPD group), bumetanide low-dose and high-dose groups (Bumetanide-L group, Bumetanide-H group), bumetanide high-dose+Yes-associated protein/transcriptional coactivator containing PDZ-binding motif (YAP/TAZ) signaling pathway activator group (Bumetanide-H+PY-60 group), with 12 rats in each group. Another 12 normal rats were selected as normal control group (Control group). Thirty minutes before modeling, bumetanide/normal saline was inhaled or/and PY-60/ normal saline was injected into the tail vein. On the next day after the completion of modeling and drug administration, the pulmonary function index of the rats in each group was measured [forced expiratory volume in 0.3 seconds (FEV0.3), forced vital capacity (FVC), peak expiratory flow (PEF), FEV0.3/FVC]. The levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and IL-1β in bronchoalveolar lavage fluid (BALF) were determined; the pathological morphology of lung tissue and degree of pulmonary fibrosis were observed. The expression levels of transforming growth factor- β (TGF- β), α -smooth muscle actin (α-SMA) and TAZ protein as well as the phosphorylation of YAP protein in lung tissues were detected. RESULTS Compared with COPD group, the pathological injury of lung tissue in Bumetanide-L and Bumetanide-H groups was alleviated; the exfoliation of lung epithelial cells, tube wall thickening and the degree of pulmonary fibrosis were alleviated; inflammatory cell infiltration was reduced, and blue collagen deposition was reduced; FEV0.3, FVC, FEV0.3/FVC and PEF were significantly increased, while the lung injury score, levels of TNF-α, IL-6, IL-1β, expression levels of TGF-β, α-SMA and TAZ protein and the phosphorylation of YAP protein were significantly decreased (P<0.05). PY-60 could significantly reverse the improvement effects of bumetanide on above indexes (P<0.05). CONCLUSIONS Bumetanide can alleviate lung injury, inflammatory response and pulmonary fibrosis in COPD rats, and its mechanism is related to inhibiting YAP/TAZ signaling pathway.
2.HLA alleles, blocks, and haplotypes associated with the hematological diseases of AML, ALL, MDS, and AA in the Han population of Southeastern China.
Yuxi GONG ; Xue JIANG ; Yuqian ZHENG ; Yang LI ; Xiaojing BAO ; Wenjuan ZHU ; Ying LI ; Xiaojin WU ; Bo LIANG ; Tengteng ZHANG ; Jun HE
Chinese Medical Journal 2025;138(7):877-879
3.A new strategy for pharmacodynamic substance screening and research on gut microbiota pathway mechanisms based on UPLC-Q-orbitrap-MS and 16S rRNA
Zhiying Yu ; Tong Li ; Jie Yang ; Jianghua He ; Weijiang Zhang ; Siyuan Li ; Yunpeng Qi ; Yihui Yin ; Ling Dong ; Wenjuan Xu
Journal of Traditional Chinese Medical Sciences 2025;2025(1):56-70
Objective:
To establish a progressive research strategy for “colonic components analysis - efficacy verification and mechanism exploration - gut microbiota”, screen pharmacodynamic substances, and investigate their mechanism via gut microbiota.
Methods:
The pharmacodynamics of Gegen Qinlian decoction (GQD) were assessed using a mouse model of dextran sulfate sodium-induced ulcerative colitis (UC). Ultra-performance liquid chromatography-quadrupole-orbitrap mass spectrometer was used to identify the prototype and metabolic components of GQD in the colon during UC. To analyze the structure and function of characteristic genera of GQD and its active components, 16S rRNA sequencing was performed.
Results:
We identified 67 prototypic and 14 metabolic components of GQD in the UC colon. The primary prototype components are flavonoids and alkaloids, including puerarin (PUE), baicalin (BAI), and berberine (BER). The metabolism was predominantly sulfonation. Efficacy verification showed that the main active components, puerarin, baicalin, and berberine, had good therapeutic effects on UC. The results of 16S rRNA gene sequencing showed that GQD improved UC by regulating the structure and function of the gut microbiota. The abundance of gut microbiota involved in the metabolism of the prototype components was influenced by the corresponding components. The function prediction results showed that PUE was the most comparable to GQD, with 24 consistent pathways. BAI and BER showed comparable gut microbiota regulation pathways. Characteristic pathways of BER include glucometabolic processes.
Conclusion
This study focused on the key issues in the gut microbiota pathway and developed a progressive research strategy to understand the transformation mechanisms of colonic components. This research systematically analyzed the active components and metabolic transformation of GQD in the colon during the pathological state of UC, as well as changes in the structure and function of the gut microbiota, clarified the mechanism of GQD and its active components in improving UC via the gut microbiota pathway.
4.Research on the Influencing Factors of Hospitalization Expense of Patients with Uterine Leiomyoma in Beijing Based on Grey Correlation Analysis and Random Forest Model
Wenjuan WANG ; Yuwei ZHANG ; Shaobin HE
Chinese Health Economics 2024;43(8):51-56,96
Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.
5.Research on the Influencing Factors of Hospitalization Expense of Patients with Uterine Leiomyoma in Beijing Based on Grey Correlation Analysis and Random Forest Model
Wenjuan WANG ; Yuwei ZHANG ; Shaobin HE
Chinese Health Economics 2024;43(8):51-56,96
Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.
6.Changes in related parameters after secondary preparation of blood components
Min GUO ; Jun CHEN ; Ning YANG ; Miao HE ; Jianmin LI ; Wenjuan YANG
Chinese Journal of Blood Transfusion 2024;37(5):586-590,612
Objective To study the changes in related parameters after secondary preparation of blood components,in order to further improve the quality of blood components.Methods Different centrifugation conditions were selected for the preparation of primary blood component red blood cells in additive solution leukocytes reduced,and the quality was tested.Then,using the red blood cells in additive solution leukocytes reduced as the initial blood for secondary preparation,and the red blood cells were washed through the Haemonetics ACP 215 device,and the quality was tested.The preparation pa-rameters of blood components were observed,compared and optimized.Results Under comparable centrifugation effects of different centrifugation conditions,the quality control items,which of primary blood components of red blood cells in additive solution leukocytes reduced and frozen plasma prepared by the separation,such as volume,hemoglobin,hematocrit and re-sidual white blood cells met the relevant national standards.And the quality control items of secondary blood components of washed red blood cells such as the hemoglobin and superalbumin content both met the relevant national standards,while vol-ume exceeded the standard by 7-14 mL,which can be operated to the standard range.In addition,the recovery rate of red blood cells and the clearance rate of plasma protein could reach 75%and 99%respectively.Conclusion There is a certain correlation between primary and secondary preparation of blood components,but the relevant parameters of secondary prepa-ration of blood components can be flexibly adjusted according to the actual situation to ensure that the quality of prepared blood component products meet the national standards,thus ensuring clinical treatment effect and safety.
7.Evaluation of the Effect for National Centralized Drug Procurement Policy of PPIs in 33 Hospitals in Wuhan
Zhijuan LIN ; Li LIU ; Wenjuan HE ; Zhiliang ZHANG ; Zhaohui GUO ; Ping LIU ; Quan LEI ; Ying XU
Chinese Journal of Modern Applied Pharmacy 2024;41(12):1723-1728
OBJECTIVE
To analyze the use status and development trend of proton pump inhibitors(PPIs) in 33 hospitals in Wuhan, Hubei Province after the implementation of the national centralized drug procurement(NCDP) policy, and to provide reference for promoting the subsequent rational use of NCDP drugs and improving related policies.
METHODS
To make statistics and analysis of purchasing amount of PPIs, defined daily dose system(DDDs), defined daily dose consumption(DDDc) and utilization rate of 33 hospitals in Wuhan in 2019 and 2022.
RESULTS
After the implementation of the NCDP policy, the total purchasing amount of PPIs decreased by 53.6%, DDDs decreased by 15.4%, DDDc decreased by 45.2%, and the utilization rate of PPIs injectable dosage forms decreased by 12.6%. After NCDP, the highest growth rate of oral dosage forms was omeprazole(5.7%), followed by rabeprazole(5.0%), while injectable dosage forms showed a significant difference in utilization rate, with a significant decline in NCDP varieties and a significant increase in non-NCDP varieties. The overall NCDP utilization rate of PPIs in Wuhan was 64.9%, with little difference among hospitals of different grades.
CONCLUSION
The NCDP policy achieves the purpose of reducing the drug cost of patients and improving the accessibility of drugs, and is more optimized in the selection of dosage forms, which is in line with the policy expectations overall; but the quantity and price of PPIs in Wuhan decreased after NCDP, and highlighted a certain tendency in the selection of varieties. In the future, we still need to optimize measures to guide clinical priority in the selection of NCDP drugs, to ensure and improve the implementation of NCDP policy.
8.Network pharmacology and subsequent experimental validation reveal the synergistic myocardial protection mechanism of Salvia miltiorrhiza Bge. and Carthamus tinctorius L.
Linying Zhong ; Ling Dong ; Jing Sun ; Jie Yang ; Zhiying Yu ; Ping He ; Bo Zhu ; Yuxin Zhu ; Siyuan Li ; Wenjuan Xu
Journal of Traditional Chinese Medical Sciences 2024;11(1):44-54
Objective:
To reveal the molecular mechanism underlying the compatibility of Salvia miltiorrhiza Bge (S. miltiorrhiza, Dan Shen) and C. tinctorius L. (C. tinctorius, Hong Hua) as an herb pair through network pharmacology and subsequent experimental validation.
Methods:
Network pharmacology was applied to construct an active ingredient-efficacy target-disease protein network to reveal the unique regulation pattern of S. miltiorrhiza and C. tinctorius as herb pair. Molecular docking was used to verify the binding of the components of these herbs and their potential targets. An H9c2 glucose hypoxia model was used to evaluate the efficacy of the components and their synergistic effects, which were evaluated using the combination index. Western blot was performed to detect the protein expression of these targets.
Results:
Network pharmacology analysis revealed 5 pathways and 8 core targets of S. miltiorrhiza and C. tinctorius in myocardial protection. Five of the core targets were enriched in the hypoxia-inducible factor-1 (HIF-1) signaling pathway. S. miltiorrhiza-C. tinctorius achieved vascular tone mainly by regulating the target genes of the HIF-1 pathway. As an upstream gene of the HIF-1 pathway, STAT3 can be activated by the active ingredients cryptotanshinone (Ctan), salvianolic acid B (Sal. B), and myricetin (Myric). Cell experiments revealed that Myric, Sal. B, and Ctan also exhibited synergistic myocardial protective activity. Molecular docking verified the strong binding of Myric, Sal. B, and Ctan to STAT3. Western blot further showed that the active ingredients synergistically upregulated the protein expression of STAT3.
Conclusion
The pharmacodynamic transmission analysis revealed that the active ingredients of S. miltiorrhiza and C. tinctorius can synergistically resist ischemia through various targets and pathways. This study provides a methodological reference for interpreting traditional Chinese medicine compatibility.
9.Research on the Influencing Factors of Hospitalization Expense of Patients with Uterine Leiomyoma in Beijing Based on Grey Correlation Analysis and Random Forest Model
Wenjuan WANG ; Yuwei ZHANG ; Shaobin HE
Chinese Health Economics 2024;43(8):51-56,96
Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.
10.Research on the Influencing Factors of Hospitalization Expense of Patients with Uterine Leiomyoma in Beijing Based on Grey Correlation Analysis and Random Forest Model
Wenjuan WANG ; Yuwei ZHANG ; Shaobin HE
Chinese Health Economics 2024;43(8):51-56,96
Objective:To investigate the internal structure and determinants of hospitalization expenses for uterine leiomyoma patients in DRG pilot and non-DRG pilot hospitals in Beijing,to fumish insights for the forthcoming phase of public hospital reform.Methods:The statistical data of 5 DRG pilot hospitals and 124 non-DRG pilot hospitals in Beijing from 2015 to 2021 were collected to analyze the correlation degree between each detail expense and the average hospitalization expense by using grey correlation analysis,and the influencing factors of the average hospitalization expense of hospitalized patients by using random forest model.Results:The results of the grey correlation analysis revealed that the highest correlations affecting hospitalization expense in the DRG pilot hospital group and the non-DRG pilot hospital group were the average expense in each surgical treatment and the average drug costs for each patient,respectively,and the lowest was the average expense of inspection and test in each patient.The results of random forest model showed that the top two influencing factors of DRG pilot hospital group were consumption ratio and the average length of hospitalization,while the average length of hospitalization,surgical treatment expense ratio and consumption ratio are more important than other influential factors of non-DRG pilot hospital group.Conclusion:DRG payment is conducive to optimizing the hospitalization expense structure of uterine leiomyoma hospitalized patients.The average length of hospitalization,consumption ratio,and surgical treatment expense ratio are important factors affecting the hospitalization expense of uterine leiomyoma hospitalized patients.Public hospitals should continue to optimize the expense structure in the future,pay equal attention to"reducing expenditure"and"open source",implement DRG payment and its supporting measures to enhance the efficiency of medical services,reinforce the comprehensive management of consumables,and empower hospitals and medical personnel.


Result Analysis
Print
Save
E-mail