1.Identification and expression analysis of AP2/ERF family members in Lonicera macranthoides.
Si-Min ZHOU ; Mei-Ling QU ; Juan ZENG ; Jia-Wei HE ; Jing-Yu ZHANG ; Zhi-Hui WANG ; Qiao-Zhen TONG ; Ri-Bao ZHOU ; Xiang-Dan LIU
China Journal of Chinese Materia Medica 2025;50(15):4248-4262
The AP2/ERF transcription factor family is a class of transcription factors widely present in plants, playing a crucial role in regulating flowering, flower development, flower opening, and flower senescence. Based on transcriptome data from flower, leaf, and stem samples of two Lonicera macranthoides varieties, 117 L. macranthoides AP2/ERF family members were identified, including 14 AP2 subfamily members, 61 ERF subfamily members, 40 DREB subfamily members, and 2 RAV subfamily members. Bioinformatics and differential gene expression analyses were performed using NCBI, ExPASy, SOMPA, and other platforms, and the expression patterns of L. macranthoides AP2/ERF transcription factors were validated via qRT-PCR. The results indicated that the 117 LmAP2/ERF members exhibited both similarities and variations in protein physicochemical properties, AP2 domains, family evolution, and protein functions. Differential gene expression analysis revealed that AP2/ERF transcription factors were primarily differentially expressed in the flowers of the two L. macranthoides varieties, with the differentially expressed genes mainly belonging to the ERF and DREB subfamilies. Further analysis identified three AP2 subfamily genes and two ERF subfamily genes as potential regulators of flower development, two ERF subfamily genes involved in flower opening, and two ERF subfamily genes along with one DREB subfamily gene involved in flower senescence. Based on family evolution and expression analyses, it is speculated that AP2/ERF transcription factors can regulate flower development, opening, and senescence in L. macranthoides, with ERF subfamily genes potentially serving as key regulators of flowering duration. These findings provide a theoretical foundation for further research into the specific functions of the AP2/ERF transcription factor family in L. macranthoides and offer important theoretical insights into the molecular mechanisms underlying floral phenotypic differences among its varieties.
Plant Proteins/chemistry*
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Gene Expression Regulation, Plant
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Transcription Factors/chemistry*
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Lonicera/classification*
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Flowers/metabolism*
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Phylogeny
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Gene Expression Profiling
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Multigene Family
2.Mechanism of DYRK1A in Cytarabine Resistance in Acute Myeloid Leukemia.
Journal of Experimental Hematology 2025;33(3):648-652
OBJECTIVE:
To investigate the role of DYRK1A in the cytarabine (Ara-C) resistance mechanism of acute myeloid leukemia (AML) cells.
METHODS:
Overexpression and silencing of DYRK1A gene in THP-1 cells were used to observe whether the sensitivity of THP-1 cells to Ara-C was altered. RT-PCR was used to detect the changes in mRNA expression of related genes during Ara-C transport or metabolism. Western blot and RT-PCR were used to detect SAMHD1 expression after regulating DYRK1A expression in Ara-C treated cells. Co-IP technology was used to detect the interaction between Cyclin L2, DYRK1A, and SAMHD1.
RESULTS:
Overexpression of DYRK1A decreased Ara-C sensitivity in THP-1 cells while silencing DYRK1A increased it. Overexpression and silencing of DYRK1A did not affect Ara-C transport or metabolic gene expression. Overexpression of DYRK1A could increase the expression of SAMHD1 protein in cells, while silencing DYRK1A reduced SAMHD1 expression. Cyclin L2 interacted with DYRK1A and SAMHD1 in THP-1 cells.
CONCLUSION
DYRK1A is involved in Ara-C resistance in AML cells, and its mechanism may be related to increased expression of SAMHD1 by interacting with Cyclin L2.
Humans
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Cytarabine/pharmacology*
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Protein-Tyrosine Kinases/metabolism*
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Leukemia, Myeloid, Acute
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Dyrk Kinases
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Drug Resistance, Neoplasm
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Protein Serine-Threonine Kinases/metabolism*
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SAM Domain and HD Domain-Containing Protein 1
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Cell Line, Tumor
3.Expression and Prognostic Significance of MYCN in Adult Patients with Newly Diagnosed Acute Myeloid Leukemia.
Yue LIU ; Yang CAO ; Hui-Juan CHEN ; Jia-Yu LIU ; Ying-Jie MIAO ; Wei-Ying GU
Journal of Experimental Hematology 2025;33(3):733-737
OBJECTIVE:
This study aimed to determine the expression levels and prognostic significance of MYCN in bone marrow of adult patients with newly diagnosed acute myeloid leukemia (AML).
METHODS:
A total of 62 newly diagnosed patients with non-M3 AML were enrolled as the study group, and 20 healthy donors as the control group. Real-time quantitative reverse transcription-polymerase chain reaction (PCR) was performed to detect the expression level of MYCN, and the relationship between MYCN expression and prognosis of AML patients was analyzed.
RESULTS:
MYCN was up-regulated in newly diagnosed AML patients compared with normal controls (P < 0.001). Receiver operating characteristic (ROC) curve analysis revealed that MYCN could serve as a diagnostic biomarker for AML. Kaplan-Meier survival analysis showed that the patients with high MYCN expression had a shorter overall survival (OS) time than the patients with low MYCN expression (P =0.016). The expression level of MYCN was lower during the complete ressimion (CR) phase of AML compared to the initial diagnosis, but it returned to the initial diagnostic level or even higher during relapse phase. Multivariate Cox regression analysis showed that high expression of MYCN was an independent risk factor for OS of AML patients (P =0.021).
CONCLUSION
MYCN is highly expressed and associated with poor prognosis in de novo AML, which might be serve as a novel diagnostic and prognostic biomarker for adult AML.
Humans
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Leukemia, Myeloid, Acute/metabolism*
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Prognosis
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N-Myc Proto-Oncogene Protein
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Adult
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Female
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Male
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Middle Aged
4.Glucocorticoid Discontinuation in Patients with Rheumatoid Arthritis under Background of Chinese Medicine: Challenges and Potentials Coexist.
Chuan-Hui YAO ; Chi ZHANG ; Meng-Ge SONG ; Cong-Min XIA ; Tian CHANG ; Xie-Li MA ; Wei-Xiang LIU ; Zi-Xia LIU ; Jia-Meng LIU ; Xiao-Po TANG ; Ying LIU ; Jian LIU ; Jiang-Yun PENG ; Dong-Yi HE ; Qing-Chun HUANG ; Ming-Li GAO ; Jian-Ping YU ; Wei LIU ; Jian-Yong ZHANG ; Yue-Lan ZHU ; Xiu-Juan HOU ; Hai-Dong WANG ; Yong-Fei FANG ; Yue WANG ; Yin SU ; Xin-Ping TIAN ; Ai-Ping LYU ; Xun GONG ; Quan JIANG
Chinese journal of integrative medicine 2025;31(7):581-589
OBJECTIVE:
To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM).
METHODS:
This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis.
RESULTS:
Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings.
CONCLUSIONS
RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult
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Aged
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Female
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Humans
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Male
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Middle Aged
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Arthritis, Rheumatoid/drug therapy*
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Glucocorticoids/therapeutic use*
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Medicine, Chinese Traditional
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Retrospective Studies
5. Research progress of Parkin protein regulating mitochondrial homeostasis through ubiquitination in cardiovascular diseases
Ke-Juan LI ; Jian-Shu CHEN ; Yi-Xin XIE ; Jia-Le BU ; Xiao-Wei ZHANG ; Yong-Nan LI
Chinese Pharmacological Bulletin 2024;40(2):224-228
In addition to providing energy for cells, mitochondria also participate in calcium homeostasis, cell information transfer, cell apoptosis, cell growth and differentiation. Therefore, maintaining mitochondrial homeostasis is very crucial for the body to carry out normal life activities. Ubiquitination, a post-translational modification of proteins, is involved in various physiological and pathological processes of cells by regulating mitochondrial homeostasis. However, the mechanism by which ubiquitination regulates mitochondrial homeostasis has not been summarized, especially the effect of Parkin protein on cardiovascular diseases. In this paper, the specific mechanism of mitochondrial homeostasis regulated by ubiquitination of Parkin protein is discussed, and the influence of mitochondrial homeostasis imbalance on cardiovascular diseases is reviewed, with a view to providing potential therapeutic strategies for the clinical treatment of cardiovascular diseases.
6.Regulation Mechanism of Occludin Function and Factors Affecting Its Expression
Shi-Jia ZHANG ; Juan-Xia ZHENG ; Cheng-Wei WANG
Progress in Biochemistry and Biophysics 2024;51(11):2832-2844
Tight-junction (TJ) is a complex supramolecular entity composed of complete membrane proteins, membranes and soluble cytoplasmic proteins, which is distributed in almost all barrier structures in the body. It can maintain the polarity of epithelial cells, close the intercellular space and prevent the overflow of materials in the epithelial space, and is a highly dynamic signaling entity. Occludin is one of the most representative members of TJ proteins, mainly responsible for sealing intercellular connections, maintaining intercellular permeability, and participating in maintaining the integrity of vascular endothelium. The integrity of occludin is related to the integrity of TJ, and the function of occludin is often associated with the barrier properties of various tissues, and the abnormal expression of occludin is related to the occurrence and development of various diseases. Occludin contains abundant Ser and Thr residues and has multiple phosphorylation sites. Phosphorylation is necessary for the combination of occludin and TJ, which can regulate the location of occludin, regulate the expression of occludin, and enhance the permeability and barrier function of TJ. Therefore, phosphorylation regulation is a mechanism that cannot be ignored in the regulation of occludin function. Occludin also interacts with many other proteins, such as co-forming the cytoskeleton with ZO-1, and is regulated by a variety of transcription factors. Studies have confirmed that in pathological conditions, a variety of signaling pathways can disrupt the integrity of cell barrier by regulating the expression and distribution of occludin. Myosin light chain kinase (MLCK) signal transduction pathway is one of the important ways to regulate the structure and function of TJ. It influences the expression of occludin by altering the cytoskeleton. MLCK mainly uses the phosphorylation of myosin light chain (MLC) as a medium to promote actin contraction, secondary decomposition of tightly binding proteins, resulting in increased or changed cellular barrier permeability, and increased MLC phosphorylation is also a biochemical marker of actomyosin contraction. Activation of MLCK causes Thr18 and Ser19 phosphorylation of MLC, which promotes the assembly of myosin II into myosin fibers and activates the hydrolysis of ATP, which relaxes the intercellular connections and reduces the ability of upper cortex to resist external invaders. Protein kinase C (PKC) plays an important role in the regulation of tightly connected signaling molecules, affecting the dynamic changes of paracellular permeability. PKC pathway is a key link in many cell signal transduction pathways, which influences all aspects of cell activities by catalyzing Ser/Thr residues phosphorylation of membrane proteins and many enzyme proteins. After PKC activation, it can regulate cellular barrier function by phosphorylating occludin and inducing its redistribution, and directly affect TJ action. Specific PKC subunits such as PKCα, PKCδ and PKCγ are activated and act on occludin molecules to promote their phosphorylation and cause the increase of TEER. The increase of TEER helps to regulate intercellular TJ and enhance the tightness of intercellular connections. Mitogen-activated protein kinases (MAPK) are usually activated by inflammatory factors, during which different signal transduction pathway subfamilies are formed to regulate occludin expression and affect tight junction and mucosal barrier functional integrity. Meanwhile, occludin is easily affected by various factors (such as cytokines and flora toxins), and abnormal expression of occludin will lead to structural damage of TJ and further damage of the intercellular barrier. Therefore, this paper summarizes the molecular structure and physiological function of occludin, and further summarizes its related signal regulation pathways and influencing factors, in order to provide theoretical support for maintaining the integrity of barrier function of occludin.
7.Development of a Usability Scale for Smart Hospital Platforms Based on QoE Theory
Peipei JIA ; Xiaowei WANG ; Meihua LI ; Lianfang LU ; Juan FENG ; Hanxu LANG ; Lili WEI
Chinese Hospital Management 2024;44(11):70-73
Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.
8.Development of a Usability Scale for Smart Hospital Platforms Based on QoE Theory
Peipei JIA ; Xiaowei WANG ; Meihua LI ; Lianfang LU ; Juan FENG ; Hanxu LANG ; Lili WEI
Chinese Hospital Management 2024;44(11):70-73
Objective To construct a usability scale for smart hospital platforms based on Quality of Experience(QoE)theory,and provide scientific measurement tool for the construction,operation,and improvement of smart hospitals.Method Literature review,focus meeting method,and pre survey were used to screen and revise the scale items,forming a formal scale.Using convenience sampling method,1 000 users from 8 smart hospital platforms in Shandong Province were selected as the research subjects to evaluate the reliability and validity of the scale.Result The availability scale of the smart hospital platform includes 6 dimensions and 24 items.Exploratory factor extraction identified 6 common factors,with a cumulative variance contribution rate of 64.045%.The overall Cronbach's with a coefficient of 0.941 for 6 dimensions.The coefficient is between 0.782 and 0.963,and the retest reliability is 0.967.The Average Standardized Content Validity Index is 0.972,and the Item-level Content Validity Index is between 0.86 and 1.00.The correlation coefficient between the six dimensions of the scale and the System Usability Scale is 0.606-0.653,and the overall correlation coefficient is 0.647.Conclusion The usability scale of the smart hospital platform developed based on QoE theory has good reliability and validity,and can be used to measure the user experience of the smart hospital platform.
9.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.
10.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.

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