1.Adolescent Smoking Addiction Diagnosis Based on TI-GNN
Xu-Wen WANG ; Da-Hua YU ; Ting XUE ; Xiao-Jiao LI ; Zhen-Zhen MAI ; Fang DONG ; Yu-Xin MA ; Juan WANG ; Kai YUAN
Progress in Biochemistry and Biophysics 2025;52(9):2393-2405
ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.
2.A novel homozygous mutation of CFAP300 identified in a Chinese patient with primary ciliary dyskinesia and infertility.
Zheng ZHOU ; Qi QI ; Wen-Hua WANG ; Jie DONG ; Juan-Juan XU ; Yu-Ming FENG ; Zhi-Chuan ZOU ; Li CHEN ; Jin-Zhao MA ; Bing YAO
Asian Journal of Andrology 2025;27(1):113-119
Primary ciliary dyskinesia (PCD) is a clinically rare, genetically and phenotypically heterogeneous condition characterized by chronic respiratory tract infections, male infertility, tympanitis, and laterality abnormalities. PCD is typically resulted from variants in genes encoding assembly or structural proteins that are indispensable for the movement of motile cilia. Here, we identified a novel nonsense mutation, c.466G>T, in cilia- and flagella-associated protein 300 ( CFAP300 ) resulting in a stop codon (p.Glu156*) through whole-exome sequencing (WES). The proband had a PCD phenotype with laterality defects and immotile sperm flagella displaying a combined loss of the inner dynein arm (IDA) and outer dynein arm (ODA). Bioinformatic programs predicted that the mutation is deleterious. Successful pregnancy was achieved through intracytoplasmic sperm injection (ICSI). Our results expand the spectrum of CFAP300 variants in PCD and provide reproductive guidance for infertile couples suffering from PCD caused by them.
Adult
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Female
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Humans
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Male
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Pregnancy
;
China
;
Ciliary Motility Disorders/genetics*
;
Codon, Nonsense
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East Asian People/genetics*
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Exome Sequencing
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Homozygote
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Infertility, Male/genetics*
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Kartagener Syndrome/genetics*
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Pedigree
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Sperm Injections, Intracytoplasmic
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Cytoskeletal Proteins/genetics*
3.Correlation between Serum FGF-23, HPSE Levels and Early Renal Impairment in Patients with Multiple Myeloma.
Li-Fang MA ; Yan YUN ; Yan-Qi LIU ; Xue-Qin BAI ; Wen-Juan NI ; Zhi-Qin LI ; Yan LU ; Zhe LI ; Jing LI ; Guo-Rong JIA
Journal of Experimental Hematology 2025;33(3):822-827
OBJECTIVE:
To investigate the relationship between serum levels of fibroblast growth factor-23 (FGF-23), heparanase (HPSE) and early renal impairment (RI) in patients with multiple myeloma (MM).
METHODS:
A retrospective analysis was conducted on the clinical data of 125 MM patients who were initially diagnosed in the Department of Hematology of the First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology from June 2020 to June 2023. The patients were divided into RI group (>176.80 μmol/L) and non-RI group (≤176.80 μmol/L) based on their serum creatinine levels when diagnosed. The baseline data and laboratory indexes of the two groups were compared. The relationship between serum FGF-23, HPSE and early RI in MM patients was analyzed.
RESULTS:
Among 125 newly diagnosed MM patients, 33 cases developed early RI, accounting for 26.40%. The proportion of light chain type, blood urea nitrogen (BUN), blood uric acid, lactate dehydrogenase, FGF-23, and HPSE levels in RI group were higher than those in non-RI group (all P <0.05). There was no statistical significant difference in other data between the two groups (P >0.05). Multivariate logistic regression analysis showed that BUN, FGF-23 and HPSE were associated with early RI in MM patients (all P <0.05). The serum FGF-23 level was divided into Q1-Q4 groups by quartile, and the serum HPSE level was divided into q1-q4 groups. The correlation analysis showed that with the increase of serum FGF-23 and HPSE levels, the incidence of early RI increased (r =0.668, 0.592). Furthermore, logistic regression analysis showed that after controlling for confounding factors, elevated levels of serum FGF-23 and HPSE were still influencing factors for early RI in MM patients (OR>1, P <0.05). According to Pearson's linear correlation test, there was a positive correlation between serum FGF-23 level and HPSE level (r =0.373).
CONCLUSION
There is a certain correlation between serum levels of FGF-23, HPSE and early RI in MM patients, and the incidence of early RI is higher in patients with abnormally high levels of both.
Humans
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Multiple Myeloma/complications*
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Fibroblast Growth Factor-23
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Retrospective Studies
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Fibroblast Growth Factors/blood*
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Glucuronidase/blood*
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Male
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Female
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Middle Aged
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Renal Insufficiency/blood*
;
Aged
4.Exploration on bioactive equivalent combinatorial components of Xiaoke formula and its mechanism based on insulin resistance mice
Jian ZHANG ; Wen-juan MA ; Lin-jie DONG ; Jiang-lan LONG ; Yu ZHANG ; Dan YAN
Acta Pharmaceutica Sinica 2024;59(6):1698-1705
Xiaoke formula (XKF) is a classic formula for the treatment of insulin resistance (IR), but there is still unclear on bioactive equivalent combinatorial components (BECC) of XKF. In this study, based on the previous research of our team, three components, berberine, astragaloside IV and chlorogenic acid, were selected as the BECC of XKF, and their efficacy and mechanism were investigated. A high-fat diet-induced IR mouse model was used to detect blood glucose, insulin sensitivity, lipid metabolism, immune & inflammatory factors, etc., and staining of pathology sections was used to detect histopathological changes. Network pharmacology was used to predict the potential targets and signaling pathways of XKF and its BECC, and the results of the network were verified by Western blot. The animal welfare and experimental procedures followed the regulations of the Laboratory Animal Ethics Committee of Beijing MDKN Biotech Company (MDKN-2023-019). The results showed that BECC, which was composed of berberine, astragaloside IV and chlorogenic acid in the ratio of the original formula of XKF, was comparable to XKF in improving the glycemia, insulin sensitivity, histopathological damage, dyslipidemia, and immuno-inflammation in IR mice. The results of network pharmacology and Western blot suggested that the BECC of XKF and XKF might alleviate IR by promoting the activation of hepatic phosphatidylinositol 3-kinase (PI3K), phosphorylation of protein kinase B (AKT), and inhibiting the expression of glucose-6-phosphate phosphatase (G6PC) and phosphoenolpyruvate carboxykinase 1 (PCK1), the key limiting enzymes of hepatic gluconeogenesis. The above results suggest that berberine, astragaloside IV and chlorogenic acid can be used as the potential BECC of XKF to improve IR, and can regulate lipid metabolism, immuno-inflammation, and promote hepatic PI3K/AKT signaling to inhibit hepatic gluconeogenesis, regulate glucose homeostasis, and improve IR in mice.
5.A Case Report of Multidisciplinary Management of a Patient with Schimke Immuno-Osseous Dysplasia
Juan DING ; Wei WANG ; Juan XIAO ; Yan ZHANG ; Huijuan ZHU ; Wen ZHANG ; Peng GAO ; Limeng CHEN ; Wei LYU ; Xuan ZOU ; Xiaoyi ZHAO ; Hongmei SONG ; Mingsheng MA
JOURNAL OF RARE DISEASES 2024;3(4):465-470
Schimke immuno-osseous dysplasia (SIOD)caused by
6.Pharmacokinetics of JS026 and JS026-JS016 for single intravenous administration in healthy volunteers
Yan TIAN ; Hui-Jing YE ; Jing-Jing WANG ; Nan-Yang LI ; Juan MA ; Xi TAN ; Fan WU ; Jie WANG ; Shu-Yan YU ; Xiao-Jie WU ; Jin-Jie HE ; Jing ZHANG ; Wen-Hong ZHANG
The Chinese Journal of Clinical Pharmacology 2024;40(15):2251-2255
Objective To evaluate tolerability,safety and pharmacokinetics of JS026 and JS026-JS016 single dose intravenous infusion in healthy adults.Methods This phase 1,randomized,double-blind,placebo-controlled,dose-escalation study totally included 48 participants:32 healthy subjects were enrolled in JS026 single intravenous infusion groups and 16 healthy subjects were enrolled in JS026-JS016 groups.JS026 was sequentially administered from low dose to high dose(30-1 000 mg),with intravenous infusion of JS026 or placebo in JS026 single-dose groups,and intravenous infusion of JS026-JS016 or placebo in the combination drug groups.Blood was collected according to the time point designed for trial.Serum concentrations of JS026 and JS016 were determined by enzyme linked immunosorbnent assay(ELISA),and pharmacokinetics parameters were calculated by WinNonlin 8.2.The power model method was used to evaluate the linear analysis of dose and drug exposure.Results 47 subjects completed trial and 1 subject lost to follow-up.After a single intravenous injection of JS026 of 30 mg,100 mg,300 mg,600 mg,and 1 000 mg,mean Cmax were(9.47±1.53),(33.20±4.95),(96.10±13.70),(177.00±22.20)and(353.00±56.70)μg·mL-1,respectively;mean AUC0-∞ were(4 225.00±607.00),(1.78 × 104±3 268.00),(5.83 × 104±1 038.00),(1.07 × 105±152.00),(1.66 × 105±327.00)μg·h·mL-1,respectively;mean t1/2 of JS026 were 563-709 h.The Cmax and AUC0-∞ of JS026 were basically similar alone or in combination with JS016.The results of Power model showed that Cmax and AUC0-∞ increased approximately linearly with the increasing dose of JS026.Treatment emergent adverse event was not increasing when dose increased and most of adverse event associated with drugs were abnormal on laboratory tests and haematuria,thus JS026 and JS016 was well tolerated in all groups.Conclusion The single intravenous infusion of JS026 can almost be thought to be a linear relationship between the doses and drug serum exposure.JS016 had no significant effect on serum concentration of JS026 and JS026 was well tolerated and safe in healthy subjects within 30-1 000 mg.
7.Functionalized Cadmium-Metal Organic Framework Materials with Azo Bonds for Highly Sensitive Electrochemical Detection of 4-Aminophenol
Lu XU ; Tian-Tian MA ; Yi-Yan BAI ; Jing SU ; Yun-Long FU ; Hai-Ying YANG ; Wen-Juan JI
Chinese Journal of Analytical Chemistry 2024;52(4):587-596
The presence of 4-aminophenol(4-AP)in wastewater from the pharmaceutical industry is a common occurrence due to its role as a byproduct or intermediate during the hydrolysis process of paracetamol metabolism,resulting in significant water pollution.Therefore,it is crucial to employ a straightforward and reliable analytical approach for detecting 4-AP in the environment.In this study,a specific type of metal-organic framework(MOF)material called[Cd4(ABTC)2(H2O)12]n(SXNU-4-Cd,H4ABTC=3,3′,5,5′-azobenzene tetracarboxylic acid)was successfully synthesized,which exhibited a unique two-dimensional layered structure consisting of three intertwined spiral chains forming a distinctive″twist braid″.These layers underwent π-π stacking,creating three-dimensional channels with azo bonds decorating the channel walls.This p-π interaction significantly enhanced the adsorption capacity of SXNU-4-Cd towards 4-AP,thereby improving its recognition sensitivity.The fabricated SXNU-4-Cd/GCE sensor showed high sensitivity towards 4-AP in the linear concentration range of 0.1-130 μmol/L,with a detection limit of 8.6 nmol/L,and also exhibited good anti-interference capability,reproducibility and stability.The SXNU-4-Cd/GCE sensor was successfully used for detecting 4-AP in lake water sample,with spiked recoveries of 95.9%-102.8%.This study introduced a novel technique that utilized pure Cd-MOFs to develop electrochemical sensor capable of effectively detecting 4-AP in water samples.
8.Standardized operational protocol for the China Human Brain Bank Consortium(2nd edition)
Xue WANG ; Zhen CHEN ; Juan-Li WU ; Nai-Li WANG ; Di ZHANG ; Juan DU ; Liang YU ; Wan-Ru DUAN ; Peng-Hao LIU ; Han-Lin ZHANG ; Can HUANG ; Yue-Shan PIAO ; Ke-Qing ZHU ; Ai-Min BAO ; Jing ZHANG ; Yi SHEN ; Chao MA ; Wen-Ying QIU ; Xiao-Jing QIAN
Acta Anatomica Sinica 2024;55(6):734-745
Human brain banks use a standardized protocol to collect,process and store post-mortem human brains and related tissues,along with relevant clinical information,and to provide the tissue samples and data as a resource to foster neuroscience research according to a standardized operating protocols(SOP).Human brain bank serves as the foundation for neuroscience research and the diagnosis of neurological disorders,highlighting the crucial rule of ensuring the consistency of standardized quality for brain tissue samples.The first version of SOP in 2017 was published by the China Human Brain Bank Consortium.As members increases from different regions in China,a revised SOP was drafted by experts from the China Human Brain Bank Consortium to meet the growing demands for neuroscience research.The revised SOP places a strong emphasis on ethical standards,incorporates neuropathological evaluation of brain regions,and provides clarity on spinal cord sampling and pathological assessment.Notable enhancements in this updated version of the SOP include reinforced ethical guidelines,inclusion of matching controls in recruitment,and expansion of brain regions to be sampled for neuropathological evaluation.
9.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.
10.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.

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