1.Structure and Function of GPR126/ADGRG6
Ting-Ting WU ; Si-Qi JIA ; Shu-Zhu CAO ; De-Xin ZHU ; Guo-Chao TANG ; Zhi-Hua SUN ; Xing-Mei DENG ; Hui ZHANG
Progress in Biochemistry and Biophysics 2025;52(2):299-309
GPR126, also known as ADGRG6, is one of the most deeply studied aGPCRs. Initially, GPR126 was thought to be a receptor associated with muscle development and was primarily expressed in the muscular and skeletal systems. With the deepening of research, it was found that GPR126 is expressed in multiple mammalian tissues and organs, and is involved in many biological processes such as embryonic development, nervous system development, and extracellular matrix interactions. Compared with other aGPCRs proteins, GPR126 has a longer N-terminal domain, which can bind to ligands one-to-one and one-to-many. Its N-terminus contains five domains, a CUB (complement C1r/C1s, Uegf, Bmp1) domain, a PTX (Pentraxin) domain, a SEA (Sperm protein, Enterokinase, and Agrin) domain, a hormone binding (HormR) domain, and a conserved GAIN domain. The GAIN domain has a self-shearing function, which is essential for the maturation, stability, transport and function of aGPCRs. Different SEA domains constitute different GPR126 isomers, which can regulate the activation and closure of downstream signaling pathways through conformational changes. GPR126 has a typical aGPCRs seven-transmembrane helical structure, which can be coupled to Gs and Gi, causing cAMP to up- or down-regulation, mediating transmembrane signaling and participating in the regulation of cell proliferation, differentiation and migration. GPR126 is activated in a tethered-stalk peptide agonism or orthosteric agonism, which is mainly manifested by self-proteolysis or conformational changes in the GAIN domain, which mediates the rapid activation or closure of downstream pathways by tethered agonists. In addition to the tethered short stem peptide activation mode, GPR126 also has another allosteric agonism or tunable agonism mode, which is specifically expressed as the GAIN domain does not have self-shearing function in the physiological state, NTF and CTF always maintain the binding state, and the NTF binds to the ligand to cause conformational changes of the receptor, which somehow transmits signals to the GAIN domain in a spatial structure. The GAIN domain can cause the 7TM domain to produce an activated or inhibited signal for signal transduction, For example, type IV collagen interacts with the CUB and PTX domains of GPR126 to activate GPR126 downstream signal transduction. GPR126 has homology of 51.6%-86.9% among different species, with 10 conserved regions between different species, which can be traced back to the oldest metazoans as well as unicellular animals.In terms of diseases, GPR126 dysfunction involves the pathological process of bone, myelin, embryo and other related diseases, and is also closely related to the occurrence and development of malignant tumors such as breast cancer and colon cancer. However, the biological function of GPR126 in various diseases and its potential as a therapeutic target still needs further research. This paper focuses on the structure, interspecies differences and conservatism, signal transduction and biological functions of GPR126, which provides ideas and references for future research on GPR126.
2.Endoplasmic reticulum membrane remodeling by targeting reticulon-4 induces pyroptosis to facilitate antitumor immune.
Mei-Mei ZHAO ; Ting-Ting REN ; Jing-Kang WANG ; Lu YAO ; Ting-Ting LIU ; Ji-Chao ZHANG ; Yang LIU ; Lan YUAN ; Dan LIU ; Jiu-Hui XU ; Peng-Fei TU ; Xiao-Dong TANG ; Ke-Wu ZENG
Protein & Cell 2025;16(2):121-135
Pyroptosis is an identified programmed cell death that has been highly linked to endoplasmic reticulum (ER) dynamics. However, the crucial proteins for modulating dynamic ER membrane curvature change that trigger pyroptosis are currently not well understood. In this study, a biotin-labeled chemical probe of potent pyroptosis inducer α-mangostin (α-MG) was synthesized. Through protein microarray analysis, reticulon-4 (RTN4/Nogo), a crucial regulator of ER membrane curvature, was identified as a target of α-MG. We observed that chemically induced proteasome degradation of RTN4 by α-MG through recruiting E3 ligase UBR5 significantly enhances the pyroptosis phenotype in cancer cells. Interestingly, the downregulation of RTN4 expression significantly facilitated a dynamic remodeling of ER membrane curvature through a transition from tubules to sheets, consequently leading to rapid fusion of the ER with the cell plasma membrane. In particular, the ER-to-plasma membrane fusion process is supported by the observed translocation of several crucial ER markers to the "bubble" structures of pyroptotic cells. Furthermore, α-MG-induced RTN4 knockdown leads to pyruvate kinase M2 (PKM2)-dependent conventional caspase-3/gasdermin E (GSDME) cleavages for pyroptosis progression. In vivo, we observed that chemical or genetic RTN4 knockdown significantly inhibited cancer cells growth, which further exhibited an antitumor immune response with anti-programmed death-1 (anti-PD-1). In translational research, RTN4 high expression was closely correlated with the tumor metastasis and death of patients. Taken together, RTN4 plays a fundamental role in inducing pyroptosis through the modulation of ER membrane curvature remodeling, thus representing a prospective druggable target for anticancer immunotherapy.
Pyroptosis/immunology*
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Humans
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Endoplasmic Reticulum/immunology*
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Animals
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Nogo Proteins/antagonists & inhibitors*
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Mice
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Cell Line, Tumor
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Xanthones/pharmacology*
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Neoplasms/pathology*
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Mice, Nude
3.Determination of median effective dose of remimazolam for preoperative sedation in pediatric patients
Mei-Chao WU ; Fang-Fang YANG ; Chen-Xu DAI ; Xing-Jun MA ; Ning CAI
Medical Journal of Chinese People's Liberation Army 2025;50(2):141-145
Objective To determine the median effective dose(ED50)of remimazolam for preoperative sedation in pediatric patients aged 1-6 years using the modified Dixon sequential method.Methods This is a prospective clinical study.Pediatric patients scheduled for elective short surgery(surgery time≤1 h)under general anesthesia from January to July 2023 were selected.Inclusion criteria were age 1-6 years,an ASA physical status Ⅰ-Ⅱ and the preoperative parent separation anxiety scale(PSAS)score≥3 points.Remimazolam was administered intravenously preoperatively,and its sedative effect was assessed.The modified Dixon sequential method was used to determine the ED50 of remimazolam,with the initial dose set at 0.10 mg/kg and the dose increment set at 0.02 mg/kg.Sedation was considered successful(positive,included in positive group)if the child with sedation score≥2 points,preoperative PSAS score<3 points,and the mask acceptance score of 4 points during anesthesia induction.If any criterion was not met,sedation was considered failure(negative,included in negative group),and the next patient's dosage was increased by 0.02 mg/kg based on the previous patient's dosage.The test was completed after 7 consecutive positive and negative turning points appeared alternately.Probabilistic unit regression analysis was used to determine the ED50,ED95 and the corresponding 95%confidence interval(CI)of remimazolam for preoperative sedation.Postoperative recovery time and adverse events such as airway spasm,respiratory depression,hypotension,nausea and vomiting during anesthesia were recorded.Results A total of 23 pediatric patients were included,with 13 in positive group and 10 in negative group.There were no statistically significant differences in mean arterial pressure,pulse oxygen saturation or heart rate before and after sedation(P>0.05).Compared with negative group,positive group showed a significant reduction in preoperative parent separation anxiety and an increase in mask acceptance during anesthesia(P<0.05).There was no significant difference in sedation score and anesthesia awakening time between two groups(P>0.05).The ED50 of remimazolam for preoperative sedation in pediatric patients aged 1-6 years was 0.051 mg/kg(95%CI 0.033-0.065 mg/kg),and the ED95 was 0.077 mg/kg(95%CI 0.064-0.161 mg/kg).No adverse events such as airway spasm,respiratory depression,hypotension,nausea and vomiting occurred during anesthesia in any of pediatric patients.Conclusion The ED50 of intravenous administration of remimazolam for preoperative sedation in pediatric patients aged 1-6 years is 0.051 mg/kg(95%CI 0.033-0.065 mg/kg).
4.Two new sesquiterpenoids from Wenyujin Rhizoma Concisum.
Yu LI ; Min CHEN ; Cheng ZHU ; Ci-Mei WU ; Chao-Jie WANG ; Jian-Yong DONG
China Journal of Chinese Materia Medica 2025;50(10):2704-2710
This study explored the active ingredients for anti-angiogenesis in Wenyujin Rhizoma Concisum. Ten sesquiterpenoids were isolated from Wenyujin Rhizoma Concisum by silica gel column chromatography, thin layer chromatography, and high performance liquid chromatography. According to the results of multiple spectroscopic methods and circular dichroism, they were identified as wenyujinlactam A(1),(4S,7S)11-hydroxycurdione(2), 8,9-seco-4β-hydroxy-1α,5βH-7(11)-guaen-8,10-olide(3), curcumadione(4), phaeocaulisin E(5), procurcumadiol(6), zedouronediol(7), epiprocurcumenol(8), gajutsulactone A(9), and(7Z)-1β,4α-dihydroxy-5α,8β(H)-eudesm-7(11)-en-8,12-olide(10). Compounds 1 and 2 were new sesquiterpenoids. Compounds 1, 6, 8, and 10 can inhibit human umbilical vein endothelial cells(HUVEC) proliferation with IC_(50) values of 38.83, 45.19, 32.12, and 37.80 μmol·L~(-1), respectively. Compounds 1 and 10 can inhibit HUVEC migration with IC_(50) values of 29.70 and 36.48 μmol·L~(-1), respectively.
Sesquiterpenes/isolation & purification*
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Humans
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Drugs, Chinese Herbal/isolation & purification*
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Rhizome/chemistry*
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Human Umbilical Vein Endothelial Cells/drug effects*
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Molecular Structure
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Cell Proliferation/drug effects*
5.Effects of lncRNA DUXAP8 in lung cancer A549 cells-derived exosomes on lung cancer cell growth and its mechnism
Xiaoshuang HE ; Lina XU ; Mei CUI ; Yu ZHAO ; Bei WANG ; Zheng HUANG ; Yuchao WANG ; Wenyan XIN ; Chao WU
Journal of Jilin University(Medicine Edition) 2025;51(4):958-967
Objective:To discuss the effect of long non-coding RNA(lncRNA)DUXAP8 in exosomes(Exo)derived from the lung cancer A549 cells on the growth and immune escape of the lung cancer cells,and to clarify the mechanism.Methods:The human lung cancer cell line A549 was cultured,and its exosomes were extracted and identified.The A549 cells were treated with PKH67-labeled Exo to observe the uptake of Exo by A549 cells.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression level of lncRNA DUXAP8 in A549 cells before and after Exo treatment.The A549 cells were divided into control group(no treatment),Exo group(A549 cells treated with Exo),Exo+sh-NC group(A549 cells treated with Exo and then transfected with sh-NC),and Exo+sh-DUXAP8 group(A549 cells treated with Exo and then transfected with sh-DUXAP8).RT-qPCR method was used to detect the expression level of lncRNA DUXAP8 in A549 cells in various groups;colony formation assay was used to detect the colony formation abilities of the A549 cells in various groups;5-ethynyl-2'-deoxyuridine(EdU)staining method was used to detect the proliferation abilities of the A549 cells in various groups.After co-culturing A549 cells in various groups with human peripheral blood lymphocytes,flow cytometry was used to detect the percentages of activated CD8+T lymphocytes in the human peripheral blood lymphocytes in various groups;3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide(MTT)method was used to detect the killing rates of human peripheral blood lymphocytes on the A549 cells in various groups.Results:The diameter of Exo vesicles was 50-150 nm,and the exosome-specific marker proteins cluster of differentiation 63(CD63),cluster of differentiation 9(CD9),tumor susceptibility gene 101(TSG101),and heat shock protein 70(HSP70)were positively expressed,indicating successful exosome extraction.A549 cells efficiently took up PKH67-labeled Exo.The RT-PCR results showed that compared with A549 cells cultured alone,the expression level of lncRNA DUXAP8 in the A549 cells was increased after treatment with Exo derived from A549 cells(P<0.05).compared with control group,the expression level of lncRNA DUXAP8 in the A549 cells in Exo group was increased(P<0.05);compared with Exo group,the expression level of lncRNA DUXAP8 in the A549 cells in Exo+sh-DUXAP8 group was decreased(P<0.05),while there were no significant difference in the expression level of IncRNA DUXAP8 in the cells in Exo+sh-NC group(P>0.05).The colony formation assay results showed that compared with control group,the number of colony formation of the A549 cells in Exo group was increased(P<0.05);compared with Exo group,the number of colony formation of the A549 cells in Exo+sh-DUXAP8 group was decreased(P<0.05),while there was no significant difference in the number of colony formation of the A549 cells in Exo+sh-NC group(P>0.05).The EdU staining results showed that compared with control group,the EdU-positive rate of the A549 cells in Exo group was increased(P<0.05);compared with Exo group,the EdU-positive rate in A549 cells in Exo+sh-DUXAP8 group was decreased(P<0.05),while there was no significant difference in the EDU-positive rate in the cells in Exo+sh-NC group(P>0.05).The flow cytometry results showed that compared with control group,the percentage of activated CD8+T lymphocytes in the human peripheral blood lymphocytes in Exo group was decreased(P<0.05);compared with Exo group,the percentage of activated CD8+T lymphocytes in the human peripheral blood lymphocytes in Exo+sh-DUXAP8 group was increased(P<0.05),while there was no significant difference in the percentage of activated CD8+T lymphaytes in Exo+sh-NC group(P>0.05).The MTT assay results showed that compared with control group,the killing rate of human peripheral blood lymphocytes on the A549 cells in Exo group was decreased(P<0.05);compared with Exo group,the killing rate of human peripheral blood lymphocytes on A549 cells in Exo+sh-DUXAP8 group was increased(P<0.05),while no significant difference was observed in Exo+sh-NC group(P>0.05).Conclusion:The lncRNA DUXAP8 in exosomes derived from the lung cancer A549 cells promotes the proliferation of lung cancer cells and tumor immune escape.
6.High-sensitivity Ratio-type Surface-enhanced Raman Substrate for Rapid Quantitative Determination of 6-Thioguanine in Serum
Yan-Bin LIU ; Yi-Chao HAN ; Rong WANG ; Xiao-Mei WU ; Qin WANG ; Yuan-Yuan YAO ; Yue-Liang WANG ; Long-Hua GUO
Chinese Journal of Analytical Chemistry 2025;53(8):1300-1310
6-Thioguanine(6-TG)is an antineoplastic agent used in treatment of acute leukemia.However,significant interindividual variability in dosing regimens and frequent clinical manifestations of hepatotoxicity and myelosuppression as adverse effects have affected its therapeutic efficacy.Consequently,the development of rapid analytical methods for 6-TG in clinical samples,enabling continuous therapeutic drug monitoring of plasma concentrations,holds substantial significance in optimizing dosage regimens,mitigating adverse reactions,and investigating drug metabolism mechanisms.In this study,multi-tipped gold nanostars(AuNSs)were prepared.With bis-(p-sulfonylphenyl)phenylphosphine molecule as the protecting agent and internal standard molecule,the AuNSs were assembled onto a highly sensitive surface-enhanced Raman(SERS)substrate for developing a ratio-based SERS quantitative analysis method for 6-TG in serum.The AuNSs containing multiple tips and gaps exhibited strong local surface plasmon resonance effect and SERS activity,ensuring the sensitivity of the analytical method.Furthermore,the introduction of internal standard molecules could improve the reproducibility,which guaranteed this method suitable for rapid analysis of drug molecules in complex samples.Quantitative analysis of 6-TG was achieved with linear detetion range of 1.0×10?4-1.0 mmol/L.In the spiked recovery experiments of serum,the RSD was less than 5.32%,and the recoveries were 94%-104%,which proved that this method could be used for rapid quantitative determination of 6-TG in serum.This method provided a powerful tool for studying drug pharmacokinetics,which could promote the optimization of the usage methods of anti-cancer drugs,and it was expected to further enhance the clinical efficacy and safety of 6-TG,enabling it to achieve the best therapeutic effect.
7.Diffusion kurtosis imaging radiomics for evaluating Parkinson disease
Ninggui ZHANG ; Xue WANG ; Lulu LI ; Chao MEI ; Yating WU ; Song'an SHANG ; Hongying ZHANG ; Jing YE
Chinese Journal of Medical Imaging Technology 2024;40(9):1323-1326
Objective To observe the value of diffusion kurtosis imaging(DKI)radiomics for evaluating Parkinson disease(PD).Methods Totally 76 PD patients(PD group)and 80 healthy controls(HC group)were retrospectively analyzed.The subjects were divided into training set(n=125,including 61 PD and 64 HC)and test set(n=31,including 15 PD and 16 HC)at the ratio of 8:2.ROI of bilateral substantia nigra,caudate nucleus,putamen,globus pallidus and thalamus were automatically delineated on mean kurtosis(MK)images of cerebral DKI.The mean MK values(MKmean)of the above ROIs were obtained and compared between groups.Support vector machine(SVM)model was constructed based on 50 selected optimal texture features.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of SVM model for evaluating PD.Results MKmean of bilateral substantia nigra,caudate nucleus and thalamus in PD group were all significantly lower than those in HC group(all P<0.05).No significant difference of MKmean of bilateral putamen nor globus pallidus was found between groups(all P>0.05).The sensitivity,specificity,accuracy and AUC of SVM model for evaluating PD in training set was 86.89%,93.75%,90.40%and 0.982,respectively,which in test set was 86.67%,93.75%,90.32%and 0.958,respectively.Conclusion DKI radiomics could be used to effectively evaluate PD through description of microstructural changes of cerebral nuclei.
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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