1.Glycyrrhetinic acid inhibits the apoptosis of gastric mucosa cells in gastric ulcer rats
Junbo SUN ; Lu ZHAO ; Suqin SHI ; Zhenyuan KOU ; Aijuan LIU ; Tingting FU
Chinese Traditional Patent Medicine 2017;39(3):462-466
AIM To explore the effects of glycyrrhetinic acid on the gastric ulcer rats infected by Helicobacter pylori (Hp) and its action mechanism.METHODS Gastric ulcer rat models were induced by acetic acid stress and then followed by Hp infection.After treatment with low and high doses of glycyrrhetinic acid,the ulcer index,gastric acid and proteinase activities in gastric ulcer rats were analyzed.The effects of glycyrrhetinic acid on the expressions of BCL2 and Caspase-3,the GSK3β activity in gastric mucosa and gastric epithelial cells,and the cell apoptosis level were then detected.RESULTS Glycyrrhetinic acid reduced the ulcer index,gastric acid and proteinase activities in rats.Besides,the expression of BCL2 was significantly up-regulated by glycyrrhetinic acid in gastric mucosa and gastric epithelial cells,whereas the expression of Caspase-3,level of cell apoptosis,and GSK3β activity were significantly reduced.After the treatment with GSK3 β activator LY294002,the level of BCL2 was down-regulated,Caspase-3 expression was increased,and the level of cell apoptosis was enhanced.CONCLUSION Glycyrrhetinic acid promotes the healing of gastric ulcer infected by Hp via regulating GSK3β activity and inhibiting apoptosis of gastric epithelial cells.
2.Artemisinin attenuates intestinal epithelial barrier damage induced by LPS
Junbo SUN ; Lu ZHAO ; Suqin SHI ; Zhenyuan KOU ; Aijuan LIU ; Tingting FU
Chinese Journal of Pathophysiology 2016;32(7):1285-1290
[ ABSTRACT] AIM:To investigate the effect of artemisinin on lipopolysaccharide ( LPS)-induced intestinal epi-thelial barrier damage in IEC-6 cells and its molecular mechanism.METHODS:Cultured IEC-6 cells were divided to 5 groups:control group, LPS (100 mg/L) group and LPS +Artemisinin (30, 50 and 100μmol/L) groups.The cytotoxici-ty was detected by MTT assay.The releases of TNF-α, IL-1βand IL-6 in the IEC-6 cells were measured by ELISA.The transepithelial electrical resistance ( TER) was detected by electrical resistance tester, and the horseradish peroxidase (HRP) flux permeability were analyzed by a microplate reader.The expression of tight junction proteins, ZO-1, claudin-1 and occludin, and the expression of TLR4/MyD88/NF-κB at mRNA and protein levels were determined by RT-qPCR and Western blot.RESULTS:Artemisinin alone (up to 100 μmol/L) or in combination with LPS (100 mg/L) was not toxic to IEC-6 cells.Compared with control group, the releases of TNF-α, IL-1βand IL-6 in the culture supernatant of IEC-6 cells significantly increased after treatment with LPS.The expression of TLR4/MyD88/NF-κB was activated by LPS.LPS down-regulated the protein expression of ZO-1, claudin-1 and occludin.However, artemisinin treatment decreased the re-leases of TNF-α, IL-1βand IL-6 in the culture supernatant of IEC-6 cells.The expression of TLR4/MyD88/NF-κB at mR-NA and protein levels was gradually reduced after treatment with artemisinin.In addition, artemisinin upregulated the pro-tein expression of ZO-1, claudin-1 and occludin significantly (P<0.01) in a dose-dependent manner.CONCLUSION:Artemisinin attenuates LPS-induced intestinal epithelial barrier damage by inhibiting TLR4/MyD88/NF-κB activation in the IEC-6 cells.
3.Distribution and change of the pathogens and multi-drug resistant organisms in intensive care unit during 6 years
Yuanchun HUANG ; Suqin HAN ; Zhuoran CHEN ; Fang JIANG ; Chun LIN ; Jun LIU ; Maozhang FU ; Yongfeng XU
International Journal of Laboratory Medicine 2018;39(7):824-827
Objective To investigate the distribution and changes of pathogens in intensive care unit of our hospital from 2010 to 2015,and provide treatment suggestions for infection.Methods The data of pathogens and multi-drug resistant organisms(MDROs)in ICU from 2010 to 2015 were analyzed retrospectively by WHONET5.6,Microsoft Office Excel2007 and SPSS19.0.Results The numbers of pathogens in ICU were increasing year by year while the top six were Acinetobacter baumanni,Pseudomonas aeruginosa,Klebsiella pneumoniae,Escherichia coli,Staphylococcus aureus and Candida albicans.The dominant MDROs were multi-drug resistant Acinetobacter baumanni,multi-drug resistant Pseudomonas aeruginosa,extended spectrum β lactamase producing Escherichia coli and Klebsiella pneumonia,methicillin-resistant coagulase negative Staph-ylococcus and methicillin-resistant Staphylococcus aureus,etc.There were statistically dramatic significant differences of most MDROs during the six years(P<0.01).Conclusion The pathogens of ICU were mainly bacteria related to the healthcare associated infection,and the multi-drug resistance was obviously in dynamic change as well as most pathogens.As a suggestion,antibiotic agents should be used rationally according to the antimicrobial susceptibility results for treating the MDROs.
4.Artificial intelligence application in hospital pharmaceutical service:a bibliometric analysis
Suqin FU ; Chenye HAO ; Jun PENG
China Pharmacy 2024;35(4):494-499
OBJECTIVE To analyze the current status and trend in the application of artificial intelligence in pharmaceutical service in China and globally. METHODS The research literature on the application of artificial intelligence technology in the field of hospital pharmaceutical service from database establishment to June 16, 2023, was searched in Web of Science and CNKI. The authors, countries/regions, institutions and the co-occurrence, clustering, and emergence of keywords were visually processed and analyzed using tools including Endnote, CiteSpace, and Python. RESULTS & CONCLUSIONS Overall, 1 190 global literature and 178 Chinese literature were included. The number of publications issued in China and globally is increasing year by year, yet a gap remains in the quantity and quality of Chinese research compared with global research. Europe and the United States have built a close cooperation network in this field, while China’s regional development in this field remains imbalanced. Global research hotspots mainly focus on the development and application of high-end technologies such as machine learning, natural language processing, and deep learning; Chinese research concentrates more on actual medical services and medical policies, especially in promoting rational drug use, prescription review, and the development of traditional Chinese medicine.