1.Dihydroartemisinin enhances doxorubicin-induced apoptosis of triple negative breast cancer cells by negatively regulating the STAT3/HIF-1α pathway.
Di CHEN ; Ying LÜ ; Yixin GUO ; Yirong ZHANG ; Ruixuan WANG ; Xiaoruo ZHOU ; Yuxin CHEN ; Xiaohui WU
Journal of Southern Medical University 2025;45(2):254-260
OBJECTIVES:
To investigate the effects of dihydroartemisinin (DHA) combined with doxorubicin (DOX) on proliferation and apoptosis of triple-negative breast cancer cells and explore the underlying molecular mechanism.
METHODS:
MDA-MB-231 cells were treated with 50, 100 or 150 μmol/L DHA, 0.5 μmol/L DOX, or with 50 μmol/L DHA combined with 0.5 μmol/L DOX. The changes in proliferation and survival of the treated cells were examined with MTT assay and colony-forming assay, and cell apoptosis was analyzed with flow cytometry. Western blotting was performed to detect the changes in protein expression levels of PCNA, cleaved PARP, Bcl-2, Bax, STAT3, p-STAT3, HIF-1α and survivin.
RESULTS:
The IC50 of DHA was 131.37±29.87 μmol/L in MDA-MB-231 cells. The cells with the combined treatment with DHA and DOX showed significant suppression of cell proliferation. Treatment with DHA alone induced apoptosis of MDA-MB-231 cells in a dose-dependent manner, but the combined treatment produced a much stronger apoptosis-inducing effect than both DHA and DOX alone. DHA at 150 μmol/L significantly inhibited clone formation of MDA-MB-231 cells, markedly reduced cellular expression levels of PCNA, p-STAT3, HIF-1α and survivin proteins, and obviously increased the expression level of cleaved PARP protein and the Bax/Bcl-2 ratio, and the combined treatment further reduced the expression level of p-STAT3 protein and increased the Bax/Bcl-2 ratio.
CONCLUSIONS
DHA combined with DOX produces significantly enhanced effects for inhibiting cell proliferation and inducing apoptosis in MDA-MB-231 cells possibly as result of DHA-mediated negative regulation of the STAT3/HIF-1α pathway.
Humans
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STAT3 Transcription Factor/metabolism*
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Apoptosis/drug effects*
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Hypoxia-Inducible Factor 1, alpha Subunit/metabolism*
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Doxorubicin/pharmacology*
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Triple Negative Breast Neoplasms/metabolism*
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Cell Line, Tumor
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Artemisinins/pharmacology*
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Female
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Cell Proliferation/drug effects*
;
Signal Transduction/drug effects*
;
Survivin
2.Effects of Angelica Sinensis and Astragalus capsules on myocardial autophagy in rats with heart failure
Xue WU ; Xin-Fang LÜ ; Xiao-Dong ZHI ; Xin-Ke ZHAO ; Ying-Dong LI
The Chinese Journal of Clinical Pharmacology 2024;40(10):1453-1457
Objective To investigate whether Angelica Sinensis and Astragalus capsules(AAC)regulates myocardial autophagy in heart failure rats via the phosphatidylinositol 3 kinase(PI3K)/protein kinase(Akt)/mammalian target of sirolimus(mTOR)signaling pathway.Methods A rat model of heart failure was constructed by intraperitoneal 2.5 mg·kg-1 doxorubicin,and another 8 rats served as the control group.The modeling rats were randomly divided into model group,control group and experimental-L,-M,-H groups.Control group was given 30 mg·kg-1 3-methyladenine by intraperitoneal injection;experimental-L,-M,-H groups were given 150,300 and 450 mg·kg-1 AAC by gavage,respectively;blank and model groups were given the same quantity of sterile distilled water.Six groups were administered once daily for 6 weeks.The cardiac function was measured by ultrasound,and the expression levels of PI3K,Akt,mTOR,sequestosome 1(P62)and microtubule-associated light chain protein 3-Ⅱ/Ⅰ(LC3 Ⅱ/Ⅰ)in myocardial tissue were measured by Western blot.Results In the blank,model,control and experimental-H groups,the left ventricular ejection fraction values were(85.00±3.63)%,(56.75±4.83)%,(75.63±3.70)%and(72.75±4.23)%;the relative expression levels of PI3K were 1.00±0,0.28±0.05,0.64±0.08 and 0.74±0.16;phosphorylated Akt/Akt were 1.00±0,0.49±0.06,0.90±0.16 and 0.95±0.10;phosphorylated mTOR/mTOR values were 1.00±0,0.42±0.09,0.73±0.13 and 0.83±0.08;the relative expression levels of P62 proteins were 1.00±0,0.24±0.12,0.57±0.09 and 0.96±0.10;the relative expression levels of LC3 Ⅱ/Ⅰ proteins were 1.00±0,4.31±0.75,2.20±0.76 and 1.59±0.24,respectively.Compared to the model group,statistical significant were identified in the experimental-H and control groups(all P<0.05).Conclusion AAC can regulate PI3K/Akt/mTOR pathway,inhibit myocardial autophagy and improve cardiac function in rats with heart failure.
3.Role of paeoniflorin in the treatment of diabetes based on network pharmacology and molecular docking
Si-Yao SONG ; Peng LU ; Ding-Xiao WU ; Da KANG ; Yu-Hui HE ; Ying LÜ ; Yan LIN
The Chinese Journal of Clinical Pharmacology 2024;40(15):2261-2264
Objective To explore the potential mechanism of action of paeoniflorin in diabetes mellitus,the related targets and pathways were preliminarily discussed,based on the network pharmacology and molecular docking technology.Methods Analyze the potential targets of paeoniflorin using the Swiss Target Prediction database.Genecards and OMIM databases yielded the genes of diabetes-related illnesses.After taking the intersection of the two,protein-protein interaction network(PPI)was established using STRING and Cytoscape programs to search for key genes with strong correlation and complete gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis.Use AutoDockTools and Pymol programs to complete protein molecule docking validation.Results The pharmacologically-related study revealed 63 targets associated with paeoniflorin,4 758 genes related to diabetes,and 50 intersection targets.15 key genes including vascular endothelial growth factor A(VEGFA),epidermal growth factor receptor(EGFR),V-Ha-ras harvey(HRAS),V-src sarcoma(SRC)and heat shock protein hs 90-alpha(HSP90AA1)were screened.RAs-associated protein 1,Ras,calcium and other signaling pathways were obtained by KEGG pathway analysis.Molecular docking results showed that paeoniflorin had good binding ability with key genes.Conclusion Paeoniflorin can treat diabetes through multiple targets and pathways,and this mechanism can provide a basis for the application of paeoniflorin in anti diabetes and drug research and development.
4.Molluscicidal effect and costs of spraying pyriclobenzuron with drones against Pomacea canaliculata
Xiaolin ZHAO ; Ying CHEN ; Yanyue HU ; Yanggeng XU ; Youqi WANG ; Dan LÜ ; Chuanxu WAN ; Yang SUN ; Liping DUAN ; Weisi WANG ; Shuijin HUANG
Chinese Journal of Schistosomiasis Control 2024;36(5):441-449
Objective To evaluate the molluscicidal effects and costs of spraying 20% suspension concentrate of pyricloben-zuron sulphate (SCPS) with drones against Pomacea canaliculata in paddy environments, so as to provide insights into the extensive applications of pyriclobenzuron against P. canaliculata. Methods On July 2022, a paddy field was selected from Nanchang City, Jiangxi Province as the study area, and 72 independent rectangular plots measuring 2 m × 1 m were allocated in the study area, with 1 m interval between each plot, and 20 P. canaliculata snails gently placed in each plot. The activity of 25% wettable powder of pyriclobenzuron sulphate (WPPS) by manual spraying at doses of 0.50, 1.00, 2.00 g/m2 and 4.00 g/m2 against P. canaliculata was tested in 54 plots, and manual spraying of 50% wettable powder of niclosamide ethanolamine salt (WPNES) at a dose of 0.10 g/m2 served as a chemical control, while manual spraying of the same volume of clean water served as a blank control, with 9 plots in each group. The activity of SCPS against P. canaliculata was tested in the remaining 18 plots. Based on the molluscicidal tests of WPPS, the molluscicidal effect of SCPS by manual spraying at doses of 0.20, 0.30, 0.40 g/m2 and 0.50 g/m2 against P. canaliculata was evaluated, and manual spraying of WPNES at a dose of 0.10 g/m2 served as a chemical control, while manual spraying of the same volume of clean water served as a blank control, with three plots in each group. On July 2023, 14 paddy fields with a mean living P. canaliculata density of > 5 snails/m2 were selected from Yujiang District, Yingtan City, Jiangxi Province for molluscicidal tests. Based on the molluscicidal effect of pyriclobenzuron against P. canaliculata in plots, the molluscicidal effects of WPPS by manual spraying at doses of 0.25, 0.50 g/m2 and 1.00 g/m2 and manual applications of WPPS at dose of 0.25, 0.50, 1.00 g/m2 and 2.00 g/m2 mixed with soil were tested, and manual spraying of 0.10 g/m2 WPNES served as a chemical control group, while manual spraying of the same volume of clean water served as a blank control, with one paddy field in each group. Based on the effect of pyriclobenzuron against P. canaliculata in plots, the activity of SCPS sprayed with drones at doses of 0.25 g/m2 and 0.50 g/m2 mixed in water at 2 kg/667 m2 and 4 kg/667 m2 was tested against P. canaliculata, and spraying of the same volume of clean water with drones served as a blank control. All P. canaliculata snails were captured 3 days and 7 days following chemical treatment in plots and paddy fields and identified for survival, and the mortality and corrected mortality of P. canaliculata snails were estimated. In addition, the areas of chemical treatment, amount of molluscicide use and labor costs of chemical treatment were estimated in molluscicidal tests in paddy fields, and the costs of chemical treatment for an area covering 667 m2 by drones and manual applications were calculated. Results The mortality of P. canaliculata snails was all 100% in plots 3 days and 7 days following spraying WPPS at doses of 0.50, 1.00, 2.00 g/m2 and 4.00 g/m2, and the mortality rates of P. canaliculata snails were 66.67% to 100.00% 3 days post-treatment with SCPS at various doses (χ2 = 277.897, P < 0.05) and 76.67% to 100.00% 7 days post-treatment (χ2 = 274.206, P < 0.05). The mortality rates of P. canaliculata snails were 98.19% to 100.00% 3 days post-treatment with WPPS at various doses in paddy fields. There was a significant difference in the mortality of P. canaliculata snails among WPPS treatment groups and controls (χ2 = 270.778, P < 0.05), and there were no significant differences between WPPS treatment groups and the chemical control group (all P values > 0.05), while there were significant differences in the mortality of P. canaliculata snails between WPPS treatment groups and the blank control group (all P values < 0.05). The mortality rates of P. canaliculata snails were 89.83% to 95.31% 3 days post-treatment with SCPS at various doses sprayed with drones, and there was a significant difference in the mortality of P. canaliculata snails among SCPS treatment groups and the blank control group (χ2 = 1 132.892, P < 0.05). There were no significant differences in the mortality of P. canaliculata snails among SCPS treatment groups or water mixture groups (all P values > 0.05), and there were significant differences in the mortality of P. canaliculata snails between SCPS treatment groups and the blank control group (all P values < 0.05). The mortality rates of P. canaliculata snails were 94.62% to 100.00% 7 days post-treatment with SCPS at various doses sprayed with drones, and there was a significant difference in the mortality of P. canaliculata snails among SCPS treatment groups and the blank control group (χ2 = 1 266.932, P < 0.05), with the highest mortality found following spraying 0.50 g/m2 SCPS mixed in 2 kg/667 m2 water with drones (P < 0.05). The costs of P. canaliculata snail control by drones and manually were 35.85 Yuan/667 m2 and 43.33 Yuan/667 m2; however, the snail control efficiency was 6.67 times higher by drones than by manual applications. Conclusions SCPS sprayed with drones is highly active against P. canaliculata snails in paddy fields. SCPS sprayed with drones is highly efficient and low in cost for P. canaliculata snail control in paddy fields, beaches and river courses.
5.Construction and application of an advanced pulmonary rehabilitation programme for patients undergoing high-flow nasal cannula oxygen therapy
Dan LÜ ; Ying ZHAO ; Yan HE ; Qing LIU ; Fujuan SONG ; Meng LI ; Xinyue ZHANG ; Xiaoping WANG
Chinese Journal of Nursing 2024;59(17):2053-2061
Objective To explore the application effect of advanced lung rehabilitation programs in patients un-dergoing high flow nasal cannula oxygen therapy(HFNC).Methods Convenience sampling method was used to se-lect 40 HFNC patients admitted to the respiratory department,ICU,coronary heart disease monitoring unit,and other departments of a tertiary A comprehensive hospital in Tianjin from January to June 2023 as the experimental group,and 40 HFNC patients admitted from June to December 2022 as the control group.Both groups of patients received HFNC treatment during hospitalization and continued at home,while the experimental group adopts the information-motivation-behavioral skills(IMB)model as the theoretical basis,implements advanced pulmonary rehabili-tation during the stable condition period,discharge preparation period,and home rehabilitation period,and imple-ments compliance management of home pulmonary rehabilitation through cloud follow-up,and the control group re-ceived routine lung rehabilitation and home follow-up.The degree of respiratory distress,6-minute walking distance,exercise self-efficacy,quality of life were compared between the 2 groups before intervention,2 months and 6 months after intervention,and compliance with home pulmonary rehabilitation was compared between the 2 groups 6 months after intervention.Results The repeated measures analysis of variance showed that there was an interaction effect between time and the 2 groups in terms of difficulty in breathing,6-minute walking distance,exercise self-ef-ficacy,and quality of life(P<0.05).Simple effect analysis showed that after 2 and 6 months of intervention,the ex-perimental group performed better than the control group in the respiratory distress,6-minute walking distance,exer-cise self-efficacy,and quality of life(P<0.05).Within 6 months of intervention,the compliance of home pulmonary rehabilitation in the experimental group was better than that in the control group,and the difference was statistically significant(P<0.05).Conclusion The application of advanced pulmonary rehabilitation programme based on IMB can improve respiratory symptoms and improve exercise self-efficacy and adherence to pulmonary rehabilitation,en-hance activity endurance and improve quality of life.
6.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
7.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
8.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.
9.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
10.Changing distribution and resistance profiles of Klebsiella strains in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chuyue ZHUO ; Yingyi GUO ; Chao ZHUO ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(4):418-426
Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0%),Klebsiella aerogenes(5.8%),Klebsiella oxytoca(5.7%),and other Klebsiella species(0.6%).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)%.Internal medicine(22.79±3.28)%,surgery(17.98±3.10)%,and ICU(14.03±1.39)%were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.

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