1.Association Between Vitamin D Status and Insulin Resistance in Adolescents: A Cross-sectional Observational Study
Xiaoyuan GUO ; Yutong WANG ; Zhibo ZHOU ; Shi CHEN ; Mei ZHANG ; Bo BAN ; Ping LI ; Xinran ZHANG ; Qiuping ZHANG ; Kai YANG ; Hongbo YANG ; Hanze DU ; Hui PAN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):577-583
To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents. This cross-sectional observational study employed convenience sampling to recruit 2021-grade(8th grade) students from Jining No.7 Middle School in Shandong Province on June 5, 2023. Data collection included questionnaires, physical examinations, and imaging assessments to obtain general information, secondary sexual characteristics development, and bone age. Venous blood samples were collected to measure fasting blood glucose(FBG), fasting insulin(FINS), homeostasis model assessment of insulin resistance(HOMA-IR), and 25-hydroxyvitamin D[25(OH)D] levels. Spearman correlation analysis and multivariate linear regression models were used to examine the associations between serum vitamin D levels and FBG, FINS, and HOMA-IR. The study included 168 pubertal adolescents[69 females(41.1%), 99 males(58.9%); mean age(13.27±0.46) years]. All participants had entered puberty based on sexual development assessment. Vitamin D deficiency was observed in 41 participants(24.4%), insufficiency in 109(64.9%), and sufficiency in 18(10.7%). The median HOMA-IR was 3.49(2.57, 5.14).Significant differences were found across vitamin D status groups for HOMA-IR [4.45(2.54, 6.62) Vitamin D deficiency/insufficiency is prevalent among pubertal adolescents, and serum vitamin D levels show a significant inverse association with insulin resistance. These findings suggest the potential importance of vitamin D status in metabolic health during puberty.
2.Body Composition Profiles and Associated Factors in Adolescents UndergoingLong-term Regular Exercise
Yutong WANG ; Xiaoyuan GUO ; Hanze DU ; Hui PAN ; Wei WANG ; Mei ZHANG ; Bo BAN ; Ping LI ; Xinran ZHANG ; Qiuping ZHANG ; Hongshuang SUN ; Rong LI ; Shi CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):591-597
To investigate body composition and associated factors in adolescents undergoing long-term regular sports training. This prospective longitudinal cohort study employed convenience sampling to recruit adolescents receiving structured athletic training at Jining Sports Training Center in June 2023. Baseline measurements included height, weight, body mass index (BMI), blood pressure, heart rate, waist circumference, and hip circumference. Questionnaires assessed sleep duration, screen time, and household income. Follow-up measurements in June 2024 repeated these assessments while adding bioelectrical impedance analysis for body composition (lean mass, skeletal muscle mass, fat mass, and body fat percentage). Linear regression models examined associations between training type (direct-contact vs. non-contact sports) and follow-up body fat percentage, BMI, and waist circumference as dependent variables, adjusting for covariates. The study included 110 adolescents (39 female, 71 male) with median age 13.21 years (IQR: 12.46-14.33). Participants comprised 65 direct-contact and 45 non-contact athletes. Baseline prevalence rates were 27.27% for overweight/obesity, 24.55% for elevated waist circumference, and 16.36% for elevated blood pressure. At follow-up, corresponding rates were 24.55%, 26.36%, and 13.64% respectively. The elevated blood pressure subgroup showed significantly higher waist circumference ( Despite regular athletic training, substantial proportions of adolescents exhibited overweight/obesity, abdominal obesity, and elevated blood pressure, warranting clinical attention. Training modality appears to influence body composition changes, with direct-contact sports associated with more favorable adiposity-related outcomes.
3.Network Pharmacology and Experimental Verification Unraveled The Mechanism of Pachymic Acid in The Treatment of Neuroblastoma
Hang LIU ; Yu-Xin ZHU ; Si-Lin GUO ; Xin-Yun PAN ; Yuan-Jie XIE ; Si-Cong LIAO ; Xin-Wen DAI ; Ping SHEN ; Yu-Bo XIAO
Progress in Biochemistry and Biophysics 2025;52(9):2376-2392
ObjectiveTraditional Chinese medicine (TCM) constitutes a valuable cultural heritage and an important source of antitumor compounds. Poria (Poria cocos (Schw.) Wolf), the dried sclerotium of a polyporaceae fungus, was first documented in Shennong’s Classic of Materia Medica and has been used therapeutically and dietarily in China for millennia. Traditionally recognized for its diuretic, spleen-tonifying, and sedative properties, modern pharmacological studies confirm that Poria exhibits antioxidant, anti-inflammatory, antibacterial, and antitumor activities. Pachymic acid (PA; a triterpenoid with the chemical structure 3β-acetyloxy-16α-hydroxy-lanosta-8,24(31)-dien-21-oic acid), isolated from Poria, is a principal bioactive constituent. Emerging evidence indicates PA exerts antitumor effects through multiple mechanisms, though these remain incompletely characterized. Neuroblastoma (NB), a highly malignant pediatric extracranial solid tumor accounting for 15% of childhood cancer deaths, urgently requires safer therapeutics due to the limitations of current treatments. Although PA shows multi-mechanistic antitumor potential, its efficacy against NB remains uncharacterized. This study systematically investigated the potential molecular targets and mechanisms underlying the anti-NB effects of PA by integrating network pharmacology-based target prediction with experimental validation of multi-target interactions through molecular docking, dynamic simulations, and in vitro assays, aimed to establish a novel perspective on PA’s antitumor activity and explore its potential clinical implications for NB treatment by integrating computational predictions with biological assays. MethodsThis study employed network pharmacology to identify potential targets of PA in NB, followed by validation using molecular docking, molecular dynamics (MD) simulations, MM/PBSA free energy analysis, RT-qPCR and Western blot experiments. Network pharmacology analysis included target screening via TCMSP, GeneCards, DisGeNET, SwissTargetPrediction, SuperPred, and PharmMapper. Subsequently, potential targets were predicted by intersecting the results from these databases via Venn analysis. Following target prediction, topological analysis was performed to identify key targets using Cytoscape software. Molecular docking was conducted using AutoDock Vina, with the binding pocket defined based on crystal structures. MD simulations were performed for 100 ns using GROMACS, and RMSD, RMSF, SASA, and hydrogen bonding dynamics were analyzed. MM/PBSA calculations were carried out to estimate the binding free energy of each protein-ligand complex. In vitro validation included RT-qPCR and Western blot, with GAPDH used as an internal control. ResultsThe CCK-8 assay demonstrated a concentration-dependent inhibitory effect of PA on NB cell viability. GO analysis suggested that the anti-NB activity of PA might involve cellular response to chemical stress, vesicle lumen, and protein tyrosine kinase activity. KEGG pathway enrichment analysis suggested that the anti-NB activity of PA might involve the PI3K/AKT, MAPK, and Ras signaling pathways. Molecular docking and MD simulations revealed stable binding interactions between PA and the core target proteins AKT1, EGFR, SRC, and HSP90AA1. RT-qPCR and Western blot analyses further confirmed that PA treatment significantly decreased the mRNA and protein expression of AKT1, EGFR, and SRC while increasing the HSP90AA1 mRNA and protein levels. ConclusionIt was suggested that PA may exert its anti-NB effects by inhibiting AKT1, EGFR, and SRC expression, potentially modulating the PI3K/AKT signaling pathway. These findings provide crucial evidence supporting PA’s development as a therapeutic candidate for NB.
4.Clinical effects of Feining Paidu Decoction combined with conventional treatment on patients with Mycoplasma pneumoniae lobar pneumonia
Guo-Cai GAO ; Guo-Lan GE ; Dan-Ping PAN ; Qian-Qian LI ; Xue HAN
Chinese Traditional Patent Medicine 2024;46(1):112-116
AIM To investigate the clinical effects of Feining Paidu Decoction combined with conventional treatment on patients with Mycoplasma pneumoniae lobar pneumonia.METHODS Ninety patients were randomly assigned into control group(45 cases)for 2-week intervention of conventional treatment,and observation group(45 cases)for 2-week intervention of both Feining Paidu Decoction and conventional treatment.The changes in clinical effects,TCM syndrome scores,inflammatory indices(WBC,N,CRP,ESR,PCT),inflammatory cytokines(TNF-α,IL-6,IL-8),coagulation indices(PLT,TT,PT,APTT,Fib,D-D),pulmonary imaging intergal and incidence of adverse reactions were detected.RESULTS The observation group demonstrated higher total effective rate than the control group(P<0.05).After the treatment,the two groups displayed decreased TCM syndrome scores,inflammatory indices,inflammatory cytokines,PLT,pulmonary imaging intergal(P<0.05),especially for the observation group(P<0.05);the observation group exhibited prolonged TT,PT,APTT(P<0.05),and decreased Fib,D-D(P<0.05),which were more obvious than those in the control group(P<0.05).No significant difference in incidence of adverse reactions was found between the two groups(P>0.05).CONCLUSION For the patients with Mycoplasma pneumoniae lobar pneumonia,Feining Paidu Decoction combined with conventional treatment can safely and effectively alleviate clinical symptoms,and improve inflammatory responses,coagulation functions.
5.Relationship between early dialysis anemia status and prognosis in maintenance hemodialysis patients
Hui FANG ; Bin PAN ; Siyu CHEN ; Yongchun HE ; Lihui QU ; Qi GUO ; Jianghua CHEN ; Ping ZHANG
Chinese Journal of Nephrology 2024;40(2):85-93
Objective:To analyze the status of anemia at the beginning of dialysis in maintenance hemodialysis (MHD) adult patients, and to explore the relationship between early dialysis anemia and early survival and long-term survival.Methods:It was a retrospective cohort study. The baseline demographic and clinical data of newly admitted MHD patients from January 1, 2013 to December 31, 2020 were retrospectively analyzed. According to the hemoglobin (Hb) level at the beginning of dialysis, the patients were divided into high Hb group (Hb≥110 g/L), middle Hb group (80 g/L≤Hb<110 g/L) and low Hb group (Hb<80 g/L). The baseline data among the three groups were compared, and the changing trend of Hb level in MHD patients during the 8 years was analyzed. The follow-up ended at peritoneal dialysis, kidney transplantation, death or on December 31, 2021. All-cause death event within 6 months after the initiation of dialysis was defined as early death, while all-cause death event more than 6 months after the initiation of dialysis was defined as long-term death. Kaplan-Meier survival curve was used to analyze the survival rate, and log-rank test was used to compare the survival rates among the three groups. Multivariate Cox regression analysis model was used to analyze the association between anemia (Hb<110 g/L) at the beginning of dialysis and both early and long-term mortality.Results:A total of 36 216 MHD patients were included in this study, with age of (61.3±15.5) years old and 22 163 males (61.20%). The Hb at the beginning of dialysis was (89.33±20.89) g/L. The compliance rate of Hb (≥110 g/L) was 16.43% (5 952/36 216). There were 12 232 patients (33.78%), 18 032 patients (49.79%), and 5 952 patients (16.43%) in low Hb group, middle Hb group, and high Hb group, respectively. There were statistically significant differences in gender distribution, age, serum creatinine, blood phosphorus, blood calcium, C-reactive protein, intact parathyroid hormone, blood leukocytes, platelets, serum albumin, triglyceride, total cholesterol, and proportions of chronic glomerulonephritis, diabetic nephropathy, diabetes mellitus, cardiovascular and cerebrovascular diseases, tumors, emporary catheter, long-term catheter and autologous arteriovenous fistula among the three groups (all P<0.05). During the 8-year period, the Hb level had an increased trend steadily each year, and Hb was (88.48±22.07) g/L, (88.52±21.43) g/L, (87.86±21.29) g/L, (88.93±20.69) g/L, (88.87±20.69) g/L, (90.03±20.47) g/L, (90.74±20.31) g/L and (90.31±20.54) g/L year by year. There were 2 176 early deaths (6.01%), and 6 557 long-term deaths (18.10%) by the end of follow-up. Kaplan-Meier survival curve showed that early survival rate of low Hb group was significantly lower than those of high Hb group (log-rank test, χ2=57.115, P<0.001) and middle Hb group (log-rank test, χ2=49.918, P<0.001), and long-term survival rates of low Hb group (log-rank test, χ2=107.097, P<0.001) and middle Hb group (log-rank test, χ2=47.430, P<0.001) were significantly lower than that of high Hb group. Multivariate Cox regression analysis showed that Hb<80 g/L at the beginning of dialysis was an independent influencing factor of early death (Hb ≥110 g/L as a reference, HR=1.307, 95% CI 1.096-1.559), and 80 g/L≤Hb<110 g/L and Hb<80 g/L at the beginning of dialysis were the independent influencing factors of long-term death (Hb≥110 g/L as a reference, HR=1.108, 95% CI 1.021-1.203; HR=1.228, 95% CI 1.127-1.339, respectively) in MHD patients. Conclusions:The compliance rate of Hb at the beginning of dialysis in MHD patients is low. Hb <80 g/L at the beginning of dialysis is an independent risk factor of early death, and Hb <110 g/L at the beginning of dialysis is an independent risk factor of long-term death in MHD patients.
6.Development and external validation of a quantitative diagnostic model for malignant gastric lesions in clinical opportunistic screening: A multicenter real-world study
Hongchen ZHENG ; Zhen LIU ; Yun CHEN ; Ping JI ; Zhengyu FANG ; Yujie HE ; Chuanhai GUO ; Ping XIAO ; Chengwen WANG ; Weihua YIN ; Fenglei LI ; Xiujian CHEN ; Mengfei LIU ; Yaqi PAN ; Fangfang LIU ; Ying LIU ; Zhonghu HE ; Yang KE
Chinese Medical Journal 2024;137(19):2343-2350
Background::Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening.Methods::We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial.Results::This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI]: 0.750–0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI: 0.570–0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios.Conclusion::This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.
7.Development and Application of Portable Multi-wavelength Spectroscopic Rapid Detector for Organic Pollutants
Yu-Ping CHEN ; Jia-Chuan PAN ; Yong-Qian LEI ; Chang-Yu LIU ; Jian-Bo JIA ; Peng-Ran GUO
Chinese Journal of Analytical Chemistry 2024;52(5):653-663,中插1-中插9
A portable multi-wavelength spectral detector was developed for on-site,rapid and accurate detection of organic pollutants in surface water using ultraviolet light-emitting diodes(UV-LEDs)and the corresponding spectral detection method was built.By measuring the fluorescence spectrum and absorption light intensity and combining with the multi-wavelength spectral correlation calculation method to analyze the target,the developed detector was able to qualitatively and quantitatively detect organic pollutants that responded in the UV-light range of 260-370 nm.The proposed detector was used to detect polycyclic aromatic hydrocarbons(PAHs)and Rhodamine B.The linear ranges of anthracene and Rhodamine B in absorption mode were 10-100 and 8.5-100 mg/L,respectively.In fluorescence mode,the linear ranges for anthracene and Rhodamine B were 0.006-50 and 0.02-0.781 mg/L,correspondingly.The absorption/fluorescence concurrent mode could extend the detection ranges of anthracene and Rhodamine B to 0.006-100 and 0.02-100 mg/L,respectively.The recoveries of PAHs in surface water ranged from 97.4%to 105.1%for anthracene and 84.5%to 91.2%for anthracene,naphthalene,and pyrene in absorption and fluorescence modes,respectively.The method was accurate in both modes.The mixtures containing PAHs were identified by the proposed method under the optimized multi-wavelength spectral correlation calculation.The results demonstrated that the method could achieve a similarity of 75%or more when identifying two different concentrations of solutions containing a single or a mixture of targets within the linear concentration range of the targets.However,the similarity dropped to less than 25%when identifying two solutions of different substances.The proposed method had excellent recognition abilityof targets.The proposed detector and method combined fluorescence and absorption spectroscopy,which could expand the application of spectroscopy in the in situ rapid identification and detection of pollutants such as PAHs in surface water.
8.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.
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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