1.Effect and Mechanisms of Chinese Medicine and Its Active Ingredients in Enhancing Antibacterial Activities of Antibiotics: A Review
Ling CHEN ; Xueqin JIANG ; Tao YUAN ; Sufang KUANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):305-313
With the increasing severity of bacterial antibiotic resistance, finding new ways to overcome this global challenge has become an urgent task. Chinese medicine, with abundant resources, offers potential for discovering diverse bioactive ingredients to enhance antibiotic efficacy and alleviate the crisis of bacterial antibiotic resistance. This review summarizes bacterial resistance mechanisms, prevention strategies, and the roles and mechanisms of Chinese medicine and its active ingredients in enhancing the efficacy of existing antibiotics. Two major resistance mechanisms—bacterial obstruction of antibiotic uptake and weakening of intracellular antibiotic activity—are introduced, with corresponding prevention and control strategies outlined. Based on the regulatory effects of active ingredients from Chinese medicine on bacteria, their mechanisms for enhancing antibiotic efficacy are categorized into two types, including improving the bacterial uptake of antibiotics and reducing the bacterial resistance to antibiotics. The former mainly enhances extracellular antibiotic uptake by regulating membrane permeability, biofilm formation, and metabolic pathways. The latter weakens intracellular antibiotic resistance by inhibiting efflux pumps and bacterial resistance targets. Furthermore, compound formulas of Chinese medicine, characterized by multi-component, multi-target, and multi-pathway interventions, exert similar antimicrobial effects and mechanisms with active ingredients, offering rich resources for developing antibiotic-enhancing applications. Finally, the review highlights the challenges such as insufficient structural research on active ingredients and potential druggability issues in their application for antibiotic enhancement. This will provide insights for advancing the research on Chinese active ingredients in antibiotic therapy and offers novel strategies to combat bacterial antibiotic resistance.
2.Effect and Mechanisms of Chinese Medicine and Its Active Ingredients in Enhancing Antibacterial Activities of Antibiotics: A Review
Ling CHEN ; Xueqin JIANG ; Tao YUAN ; Sufang KUANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):305-313
With the increasing severity of bacterial antibiotic resistance, finding new ways to overcome this global challenge has become an urgent task. Chinese medicine, with abundant resources, offers potential for discovering diverse bioactive ingredients to enhance antibiotic efficacy and alleviate the crisis of bacterial antibiotic resistance. This review summarizes bacterial resistance mechanisms, prevention strategies, and the roles and mechanisms of Chinese medicine and its active ingredients in enhancing the efficacy of existing antibiotics. Two major resistance mechanisms—bacterial obstruction of antibiotic uptake and weakening of intracellular antibiotic activity—are introduced, with corresponding prevention and control strategies outlined. Based on the regulatory effects of active ingredients from Chinese medicine on bacteria, their mechanisms for enhancing antibiotic efficacy are categorized into two types, including improving the bacterial uptake of antibiotics and reducing the bacterial resistance to antibiotics. The former mainly enhances extracellular antibiotic uptake by regulating membrane permeability, biofilm formation, and metabolic pathways. The latter weakens intracellular antibiotic resistance by inhibiting efflux pumps and bacterial resistance targets. Furthermore, compound formulas of Chinese medicine, characterized by multi-component, multi-target, and multi-pathway interventions, exert similar antimicrobial effects and mechanisms with active ingredients, offering rich resources for developing antibiotic-enhancing applications. Finally, the review highlights the challenges such as insufficient structural research on active ingredients and potential druggability issues in their application for antibiotic enhancement. This will provide insights for advancing the research on Chinese active ingredients in antibiotic therapy and offers novel strategies to combat bacterial antibiotic resistance.
3.EZH2 promotes malignant biological behavior in esophageal squamous cell carcinoma via EMT.
Yuying JING ; Kaige YANG ; Yiting CHENG ; Tianping HUANG ; Sufang CHEN ; Kai CHEN ; Jianming HU
Journal of Central South University(Medical Sciences) 2025;50(2):155-166
OBJECTIVES:
Esophageal squamous cell carcinoma (ESCC) is characterized by complex pathogenesis and poor prognosis. In recent years, epithelial-mesenchymal transition (EMT) in tumor initiation and progression has attracted increasing attention. Enhancer of zeste homolog 2 (EZH2), which is aberrantly expressed in various tumors, may be closely related to the EMT process. This study aims to examine the expression and correlation of EZH2 and EMT markers in ESCC cells and tissues, evaluate the effects of EZH2 knockdown on ESCC cell proliferation, invasion, and migration, and explore how EZH2 contributes to the malignant biological behavior of ESCC.
METHODS:
Bioinformatics analyses were used to assess EZH2 expression levels in ESCC. Small interfering RNA was used to knock down EZH2 in ESCC cell lines EC109 and EC9706. Cell proliferation, invasion, and migration were evaluated using cell counting kit-8 (CCK-8), wound healing, and Transwell assays. Protein and mRNA expression levels of EZH2, E-cadherin (E-cad), and vimentin (Vim) were detected by Western blotting and real time fluorogenic quantitative PCR (RT-qPCR), respectively. Immunohistochemical (IHC) staining was performed on 70 ESCC tissue samples and 40 paired adjacent normal tissues collected from the First Affiliated Hospital of Shihezi University between 2010 and 2016 to assess the expression of EZH2, E-cad, and Vim, and to analyze their associations with clinicopathological feature and patient prognosis.
RESULTS:
Bioinformatics analysis showed that EZH2 was highly expressed in ESCC (P<0.001), and high EZH2 expression was associated with worse prognosis (P<0.001). CCK-8, wound healing, and Transwell assays demonstrated that EZH2 knockdown significantly suppressed the proliferation, invasion, and migration of ESCC cells (P<0.001). In addition, Vim expression was significantly reduced, while E-cad expression was significantly increased at both protein and mRNA levels in EZH2-silenced cells (all P<0.05). IHC staining analysis revealed higher expression of EZH2 and Vim and lower expression of E-cad in ESCC tissues compared to adjacent normal tissues. Kaplan-Meier survival analysis showed that low expression of EZH2 and Vim and high expression of E-cad were associated with longer survival (all P<0.05).
CONCLUSIONS
EZH2 promotes malignant biological behavior in ESCC by mediating EMT. Elevated EZH2 expression is associated with poor prognosis in ESCC patients.
Humans
;
Enhancer of Zeste Homolog 2 Protein/physiology*
;
Esophageal Squamous Cell Carcinoma/pathology*
;
Epithelial-Mesenchymal Transition/genetics*
;
Esophageal Neoplasms/metabolism*
;
Cell Proliferation
;
Cell Line, Tumor
;
Cell Movement
;
Cadherins/genetics*
;
Vimentin/genetics*
;
Male
;
Female
;
Middle Aged
;
Neoplasm Invasiveness
;
Prognosis
;
RNA, Small Interfering/genetics*
;
Gene Expression Regulation, Neoplastic
4.Predictive value of NUF2 for prognosis and immunotherapy responses in pan-cancer.
Yaobin WANG ; Liuyan CHEN ; Yiling LUO ; Jiqing SHEN ; Sufang ZHOU
Journal of Southern Medical University 2025;45(1):137-149
OBJECTIVES:
To investigate the association of NUF2 expression with tumor prognosis and its regulatory role in tumor microenvironment.
METHODS:
We analyzed NUF2 expression, its prognostic value, and is immune-related functions across different cancer types using datasets from the Human Protein Atlas (HPA), TCGA, GTEx, CCLE, and TIMER. RT-qPCR, Western blotting, and immunohistochemistry were used to detect NUF2 expression in liver cancer cell lines and tissue and blood samples from patients with liver cancer. GO, KEGG, and GSEA analyses were conducted to explore the molecular mechanisms of NUF2 and its related genes, and a competitive endogenous RNA (ceRNA) network for NUF2 in liver cancer was constructed.
RESULTS:
NUF2 expression was upregulated in the tumor tissues of 27 cancers and was associated with clinical stages in several cancers. High NUF2 expressions were correlated with poor overall survival, disease-specific survival, progression-free survival, and disease-free survival of cancer patients. NUF2 expression levels were positively correlated with tumor mutational burden, microsatellite instability, infiltrating immune cells, immune cell marker genes and immune checkpoint genes in different cancers. RT-qPCR, Western blotting, and immunohistochemistry confirmed that NUF2 expression was upregulated in liver cancer cell lines and tumor tissues and blood samples of liver cancer patients, and was decreased significantly after operation. GO, KEGG and GSEA analyses indicated that NUF2 was involved in chromosome segregation and cell cycle and was associated with glycine, serine and threonine metabolism.
CONCLUSIONS
NUF2 expression is upregulated in 27 cancers and is associated with clinical stage and poor prognosis in some malignancies. NUF2 expression is closely correlated with immune cell infiltration in different cancers, suggesting its potential value for predicting immunotherapy response in these cancers.
Humans
;
Prognosis
;
Immunotherapy
;
Tumor Microenvironment
;
Liver Neoplasms/metabolism*
;
Cell Line, Tumor
;
Neoplasms/genetics*
;
Gene Expression Regulation, Neoplastic
;
Biomarkers, Tumor/genetics*
5.The diagnostic value of genetic testing in familial hypercholesterolemia in patients with premature myocardial infarction
Yuxia CUI ; Junxian SONG ; Zhongyou LI ; Sufang LI ; Chuanfen LIU ; Hong CHEN
Chinese Journal of Cardiology 2024;52(3):281-285
Objective:To evaluate the diagnostic value of gene testing in familial hypercholesterolemia (FH) in patients with premature myocardial infarction(PMI).Methods:This study was a single center cross-sectional study. A retrospective analysis was made on PMI patients who visited the People′s Hospital of Peking University from May 1, 2015 to March 31, 2017. Clinical data of patients was collected and gene testing of FH related genes low density lipoprotein receptor (LDLR), proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein B(APOB) and low density lipoprotein receptor adaptor protein 1(LDLRAP1) was carried out. Clinical diagnosis of FH patients was performed using Simon Broome criteria, DLCN criteria, and FH Chinese expert consensus.Results:There were 188 males (83.6%) among 225 PMI patients, and the age of the first myocardial infarction was (46.6±7.2) years old. Ten patients carried FH pathogenic or possibly pathogenic mutations (4.4%). Compared with Simon Broome standard, DLCN standard and FH Chinese expert consensus, gene testing increased the diagnostic rate of FH by 53.3%, 33.3% and 42.1% respectively.Conclusion:Gene testing is helpful to improve the diagnosis of FH, and it is important to start the standard treatment of FH as early as possible in patients with premature myocardial infarction.
6.Bioinformatics analysis based on effect of M2 macrophage-derived Siglec15 on malignant biological behaviour of esophageal squamous cell carcinoma cells and its experimental validation
Yilin REN ; Yichen ZANG ; Lele XUE ; Kaige YANG ; Sufang CHEN ; Weinan WANG ; Chenghua LUO ; Weihua LIANG ; Lianghai WANG ; Feng LI ; Jianming HU
Journal of Jilin University(Medicine Edition) 2024;50(4):881-890
Objective:To discuss the effect of sialic acid-binding immunoglobulin-like lectin-15(Siglec15)derived from M2 tumor-associated macrophages(M2-TAMs)on promoting the malignant biological behavior of the esophageal squamous cell carcinoma(ESCC)through bioinformatics analysis,and to validate the findings through cell experiment.Methods:The Tumor Immune Estimation Resource(TIMER)online Database was used to analyze the expression differences and immune infiltration of Siglec15 in pan-cancer and adjacent normal tissues.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of Siglec15 mRNA in M2-TAMs and ESCC EC109 and KYSE150 cells.Based on the non-contact co-culture of M2-TAMs and ESCC cells,the following groups were set up,such as EC109/KYSE150 group,EC109/KYSE150+si-NC group(transfected with si-NC sequence),and EC109/KYSE150+si-Siglec15 group(transfected with si-Siglec15#1 and si-Siglec15#2 sequences).CCK-8 method was used to detect the proliferation activities of the cells in various groups;wound healing assay was used to detect the wound healing rates of the cells in various groups;Transwell chamber assay was used to detect the numbers of migration and invasion cells in various groups;flow cytometry was used to detect the apoptotic rates of the cells in various groups.Results:The bioinformatics analysis results showed that compared with adjacent normal tissue,the expression levels of Siglec15 mRNA in pan-cancer tissues such as esophageal cancer,colon cancer,and head and neck squamous cell carcinoma tissues were increased(P<0.05 or P<0.01),and the expression level of Siglec15 mRNA in esophageal cancer tissue was significantly positively correlated with the infiltration of the macrophages(P<0.05).Compared with the EC109 cells and KYSE150 cells,the expression level of Siglec15 mRNA in M2-TAMs was significantly increased(P<0.01).There was no significant difference in the proliferation rate of the cells among EC109/KYSE150 group,EC109/KYSE150+si-NC group,and EC109/KYSE150+si-Siglec15 group(P>0.05).Compared with EC109/KYSE150 group,after treated for 24 and 48 h,the wound healing rate of the cells in EC109/KYSE150+si-NC group was increased(P<0.01),the numbers of migration and invasion cells were increased(P<0.05),and the apoptotic rate was decreased(P<0.01).Compared with EC109/KYSE150+si-NC group,the wound healing rates of the cells in EC109/KYSE150+si-Siglec15#1 group and EC109/KYSE150+si-Siglec15#2 group were decreased(P<0.05),the numbers of migration and invasion cells were decreased(P<0.05),and the apoptotic rates of the cells had no significant difference(P>0.05).Conclusion:Siglec15 derived from M2-TAMs may be a key factor in promoting the migration and invasion of the ESCC cells.
7.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.
8.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.
9.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.
10.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.

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