1.Terms Related to The Study of Biomacromolecular Condensates
Ke RUAN ; Xiao-Feng FANG ; Dan LI ; Pi-Long LI ; Yi LIN ; Zheng WANG ; Yun-Yu SHI ; Ming-Jie ZHANG ; Hong ZHANG ; Cong LIU
Progress in Biochemistry and Biophysics 2025;52(4):1027-1035
Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.
2.DIA Proteomics Reveals Mechanism of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis Extract in Treating α-Syn Transgenic Parkinson's Disease in Mice
Qi ZHENG ; Yi LU ; Donghua YU ; Liangyou ZHAO ; Chunsheng LIN ; Fang LU ; Shumin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(8):40-50
ObjectiveTo investigate the mechanism of Acanthopanacis Senticosi Radix et Rhizoma seu Caulis extract (ASH) in treating Parkinson's disease (PD) in mice by Data-Independent Acquisition (DIA) proteomics. MethodsThe α-Synuclein (α-Syn) transgenic PD mice were selected as suitable models for PD, and they were randomly assigned into PD, ASH (61.25 mg·kg-1), and Madopar (97.5 mg·kg-1) groups. Male C57BL/6 mice of the same age were selected as the control group, with eight mice in each group. Mice were administrated with corresponding drugs by gavage once a day for 20 days. The pole climbing time and the number of autonomic activities were recorded to evaluate the exercise ability of mice. Hematoxylin-eosin staining was employed to observe neuronal changes in the substantia nigra of PD mice. Immunohistochemistry (IHC) was employed to measure the tyrosine hydroxylase (TH) activity in the substantia nigra and assess the areal density of α-Syn in the striatum. DIA proteomics was used to compare protein expression in the substantia nigra between groups. IHC was utilized to validate key differentially expressed proteins, including Lactotransferrin, Notch2, Ndrg2, and TMEM 166. The cell counting kit-8 (CCK-8) method was used to investigate the effect of ASH on the viability of PD cells with overexpression of α-Syn. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) and Western blot were employed to determine the protein and mRNA levels of Lactotransferrin, Notch2, Ndrg2, and TMEM 166 in PD cells. ResultsCompared with the control group, the model group showed prolonged pole climbing time, diminished coordination ability, reduced autonomic activities (P<0.01), and reduced swelling neurons. Compared with the model group, ASH and Madopar reduced the climbing time, increased autonomic activities (P<0.01), and ameliorated neuronal damage. Compared with the control group, the model group showed a decrease in TH activity in the substantia nigra and an increase in α-Syn accumulation in the striatum (P<0.01). Compared with the model group, the ASH group showed an increase in TH activity and a reduction in α-Syn accumulation (P<0.05). DIA proteomics revealed a total of 464 differentially expressed proteins in the model group compared with the control group, with 323 proteins being up-regulated and 141 down-regulated. A total of 262 differentially expressed proteins were screened in the ASH group compared with the model group, including 85 proteins being up-regulated and 177 down-regulated. Kyoto encylopedia of genes and genomes (KEGG) pathway analysis indicated that ASH primarily regulated the Notch signaling pathway. The model group showed up-regulation in protein levels of Notch2, Ndrg2, and TMEM 166 and down-regulation in the protein level of Lactotransferrin compared with the control group (P<0.01). Compared with the model group, ASH down-regulated the protein levels of Notch2, Ndrg2, and TMEM 166 (P<0.05) while up-regulating the protein level of Lactotransferrin (P<0.01). The IHC results corroborated the proteomics findings. The cell experiment results showed that compared with the control group, the modeling up-regulated the mRNA and protein levels of Notch2, Ndrg2, and TMEM 166 (P<0.01), while down-regulating the mRNA and protein levels of Lactotransferrin (P<0.01). Compared with the model group, ASH reduced the mRNA and protein levels of Notch2, Ndrg2, and TMEM 166 (P<0.01), while increasing the mRNA and protein levels of Lactotransferrin (P<0.05, P<0.01). ConclusionASH may Synergistically inhibit the Notch signaling pathway and mitigate neuronal damage by down-regulating the expression of Notch2 and Ndrg2. Additionally, by up-regulating the expression of Lactotransferrin and down-regulating the expression of TMEM166, ASH can address brain iron accumulation, intervene in ferroptosis, inhibit mitophagy, and mitigate reactive oxygen species damage, thereby protecting nerve cells and contributing to the treatment of PD.
3.Progress in the application of poloxamer in new preparation technology
Xue QI ; Yi CHENG ; Nan LIU ; Zengming WANG ; Hui ZHANG ; Aiping ZHENG ; Dongzhou KANG
China Pharmacy 2025;36(5):630-635
Poloxamer, as a non-ionic surfactant, exhibits a unique triblock [polyethylene oxide-poly (propylene oxide)-polyethylene oxide] structure, which endows it with broad application potential in various fields, including solid dispersion technology, nanotechnology, gel technology, biologics, gene engineering and 3D printing. As a carrier, it enhances the solubility and bioavailability of poorly soluble drugs. In the field of nanotechnology, it serves as a stabilizer etc., enriching preparation methods. In gel technology, its self-assembly behavior and thermosensitive properties facilitate controlled drug release. In biologics, it improves targeting efficiency and reduces side effects. In gene engineering, it enhances delivery efficiency and expression levels. In 3D printing, it provides novel strategies for precise drug release control and the production of high-quality biological products. As a versatile material, poloxamer holds promising prospects in the pharmaceutical field.
4.Feixin Decoction Treats Hypoxic Pulmonary Hypertension by Regulating Pyroptosis in PASMCs via PPARγ/NF-κB/NLRP3 Signaling Pathway
Junlan TAN ; Xianya CAO ; Runxiu ZHENG ; Wen ZHANG ; Chao ZHANG ; Jian YI ; Feiying WANG ; Xia LI ; Jianmin FAN ; Hui LIU ; Lan SONG ; Aiguo DAI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(18):1-9
ObjectiveTo investigate the mechanism by which Feixin decoction treats hypoxic pulmonary hypertension (HPH) by regulating the peroxisome proliferator-activated receptor gamma (PPARγ)/nuclear factor-kappa B (NF-κB)/NOD-like receptor pyrin domain containing 3 (NLRP3) signaling pathway. MethodsForty-eight male SD rats were randomly allocated into normal, hypoxia, and low-, medium- and high-dose (5.85, 11.7, 23.4 g·kg-1, respectively) Feixin decoction groups, with 8 rats in each group. Except the normal group, the remaining five groups were placed in a hypoxia chamber with an oxygen concentration of (10.0±0.5)% for 8 h per day, 28 days, and administrated with corresponding drugs during the modeling process. After 4 weeks of treatment, echocardiographic parameters [pulmonary artery acceleration time (PAT), pulmonary artery ejection time (PET), right ventricular anterior wall thickness (RVAWd), and tricuspid annular plane systolic excursion (TAPSE)] were measured for each group. The right ventricular systolic pressure (RVSP) was measured by the right heart catheterization method, and the right ventricular hypertrophy index (RVHI) was calculated by weighing the heart. The pathological changes in pulmonary arterioles were observed by hematoxylin-eosin staining. The co-localization of α-smooth muscle actin (α-SMA) with NLRP3, N-terminal gasdermin D (N-GSDMD), and cysteinyl aspartate-specific proteinase-1 (Caspase-1) in pulmonary arteries was detected by immunofluorescence. The protein levels of PPARγ, NF-κB, NLRP3, apoptosis-associated speck-like protein containing a CARD (ASC), N-GSDMD, interleukin-1β (IL-1β), interleukin-18(IL-18), and cleaved Caspase-1 in the lung tissue was determined by Western blot. The ultrastructural changes in pulmonary artery smooth muscle cells (PASMCs) were observed by transmission electron microscopy. ResultsCompared with the normal group, the hypoxia group showed increased RVSP and RVHI (P<0.01), decreased right heart function (P<0.01), increased pulmonary vascular remodeling (P<0.01), increased co-localization of α-SMA with NLRP3, N-GSDMD, and Caspase-1 in pulmonary arterioles (P<0.01), up-regulated protein levels of NF-κB, NLRP3, ASC, N-GSDMD, IL-1β, IL-18, and cleaved Caspase-1 in the lung tissue (P<0.05, P<0.01), a down-regulated protein level of PPARγ (P<0.05, P<0.01), and pyroptosis in PASMCs. Compared with the hypoxia group, Feixin decoction reduced RVSP and RVHI, improved the right heart function and ameliorated pulmonary vascular remodeling (P<0.05, P<0.01), decreased the co-localization of α-SMA with NLRP3, N-GSDMD, and Caspase-1 (P<0.05, P<0.01), down-regulated the protein levels of NF-κB, NLRP3, ASC, N-GSDMD, IL-1β, IL-18, and cleaved Caspase-1 in the lung tissue (P<0.05, P<0.01), up-regulated the protein level of PPARγ (P<0.05, P<0.01), and alleviated pyroptosis in PASMCs. ConclusionFeixin decoction can ameliorate pulmonary vascular remodeling and right heart dysfunction in chronically induced HPH rats by regulating pyroptosis in PASMCs through the PPARγ/NF-κB/NLRP3 pathway.
5.Body roundness index, visceral adiposity index, and metabolic score for visceral fat in predicting new-onset atrial fibrillation: a UK Biobank cohort study
Yi ZHENG ; Lei LIU ; Xinyu ZHENG ; Tong LIU ; Xiaoping LI
Chinese Journal of Clinical Medicine 2025;32(4):720-722
Objective To explore the longitudinal associations of body roundness index (BRI), visceral adiposity index (VAI), and metabolic score for visceral fat (METS-VF) with the risk of new-onset atrial fibrillation (AF). Methods This study included participants from the UK Biobank who were free of AF or pregnancy at baseline and completed the first and second assessments of BRI, VAI, and METS-VF. The changes in BRI, VAI, and METS-VF were classified using K-means clustering analyses, and the cumulative adiposity indices were also calculated. The primary outcome was new-onset AF. Three Cox regression models were employed to investigate the longitudinal associations of the BRI, VAI, and METS-VF changes with the risk of incident new-onset AF. The results were presented as hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs). Restricted cubic spline analyses were performed to explore potential non-linear associations between baseline or cumulative adiposity indices and the risk of new-onset AF. C-index analyses were conducted to evaluate the predictive value of BRI, VAI, and METS-VF for new-onset AF. Subgroup analyses were performed according to age, gender, race, smoking status, alcohol consumption, and physical activity. Polygenic risk scores were applied to account for genetic susceptibility and investigate potential interactions between adiposity indices and genetic risk. Univariate linear regression analyses were performed to evaluate the relationships of cumulative adiposity indices and magnetic resonance imaging and dual X-ray absorptiometry parameters, including visceral adipose tissue (VAT) volume, VAT mass, trunk fat volume, and trunk fat mass. We further applied the eXtreme Gradient Boosting (XGBoost) algorithm, with the feature importance being measured to evaluate the predictive value of each adiposity index for imaging parameters. Mendelian randomization analysis was further conducted to investigate the potential causal relationship between trunk fat mass and AF. Results A total of 12 776 participants were included. Over a median follow-up of 9.60 years, 761 (5.96%) new-onset AF events were recorded. Participants were divided into four classes based on the changes in adiposity indices. In the fully adjusted model, compared to participants in Class 1 of BRI, those in Class 3 (HR=1.30, 95%CI 1.04-1.63, P=0.023) and Class 4 (HR=2.17, 95%CI 1.61-2.93, P<0.001) were associated with significantly higher risks of new-onset AF. Regarding METS-VF, participants in Class 4 of METS-VF also demonstrated a significantly higher risk of new-onset AF compared to those in Class 1 (HR=1.66, 95%CI 1.15-2.39, P=0.007). However, no significant association was observed between different classes of VAI and the risk of new-onset AF. For every 1 standard deviation increase in cumulative BRI, VAI, and METS-VF, the fully adjusted HRs of new-onset AF were 1.23 (95%CI 1.13-1.35), 1.02 (95%CI 0.94-1.10), and 1.23 (95%CI 1.12-1.35), respectively. Cumulative adiposity indices (BRI, VAI, and METS-VF) were divided into quartiles. Using the first quartile as reference, participants in the highest quartiles of BRI (HR=1.40, 95%CI 1.10-1.79, P=0.007) and METS-VF (HR=1.44, 95%CI 1.13-1.83, P=0.003) both exerted a significantly higher risk of new-onset AF. Regarding VAI, no significant association was observed (HR=1.00, 95%CI 0.81-1.23, P=0.988). Restricted cubic spline analyses revealed non-linear relationships between cumulative BRI, baseline/cumulative VAI, and baseline/cumulative METS-VF with new-onset AF risk (all Poverall<0.05, Pnon-linear<0.05). In the C-index analysis, BRI demonstrated the highest predictive performance for new-onset AF, followed by METS-VF and VAI. Subgroup analysis indicated a stronger association between METS-VF and the risk of new-onset AF amongst participants younger than 60 years (Pinteraction=0.008). Polygenic risk score analysis stratified by genetic risk demonstrated a synergistic effect between BRI and genetic risk with new-onset AF, with the overall risk of new-onset AF increasing as both BRI and genetic risk increased. Linear regression analysis revealed a positive correlation between cumulative BRI with VAT volume, VAT mass, trunk fat volume, and trunk fat mass. The feature importance plot derived from the XGBoost algorithm indicated that cumulative BRI had the greatest predictive value on VAT volume, VAT mass, trunk fat volume, and trunk fat mass. Mendelian randomization analysis confirmed a significant causal relationship between trunk fat mass and AF. Conclusions There are significant non-linear associations between BRI, METS-VF, and VAI with new-onset AF. Higher BRI and METS-VF are significantly associated with a higher risk of new-onset AF, whereas no significant association is observed for the VAI. BRI exhibits a positive correlation with VAT and trunk fat, and demonstrates superior performance in predicting new-onset AF compared to VAI and METS-VF. Monitoring and managing BRI may be important in the early detection and intervention of AF.
6.Association of short-term exposure to polycyclic aromatic hydrocarbons in ambient fine particulate matter with resident mortality: a case-crossover study
Sirong WANG ; Zhi LI ; Yanmei CAI ; Chunming HE ; Huijing LI ; Yi ZHENG ; Lu LUO ; Ruijun XU ; Yuewei LIU ; Huoqiang XIE ; Qinqin JIANG
Journal of Public Health and Preventive Medicine 2025;36(6):6-11
Objective To quantitatively assess the association of short-term exposure to polycyclic aromatic hydrocarbons (PAHs) in ambient fine particulate matter (PM2.5) with residents mortality. Methods A time-stratified case-crossover study was conducted from 2020 to 2022 among 10606 non-accidental residents by using the Guangzhou Cause of Death Surveillance System in Conghua District, Guangzhou. Exposure levels of PAHs in PM2.5 and meteorological data during the study period were obtained from the Center for Disease Control and Prevention in Conghua District and the China Meteorological Administration Land Data Assimilation System (CLDAS-V2.0), respectively. Conditional Poisson regression model was used to estimate the exposure-response association between PAHs and the mortality risk. Results Fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene, and indeno[1,2,3-cd]pyrene were significantly associated with an increased risk of mortality. For every one interquartile range increase in exposure levels, the non-accidental mortality risks increased by 8.33% (95% CI: 1.80%, 15.27%), 4.67% (95% CI: 1.86%, 7.57%), 6.07% (95% CI: 2.08%, 10.21%), 4.62% (95% CI: 1.85%, 7.47%), and 4.70% (95% CI: 0.53%, 9.03%), respectively. The estimated non accidental deaths attributable to exposure to fluoranthene, chrysene, benzo[k]fluorine, benzo[a]pyrene and indine[1,2,3-cd]pyrene were 5.91%, 6.08%, 6.51%, 6.46%, and 4.21%, respectively. Conclusions Short-term exposure to PAHs in PM2.5, including fluoranthene, chrysene, benzo[k]fluoranthene, benzo[a]pyrene and indine[1,2,3-cd]pyrene, was significantly associated with an increased risk of mortality among residents.
7.The RNA binding protein QKI can promote gastric cancer by regulating cleavage of EMT-related gene transcripts to form circRNAs
Yi-Shuang CUI ; Xuan ZHENG ; Ya-Nan WU ; Yi-Han YAO ; Jun WANG ; Zi-Qing LIU ; Guo-Gui SUN
Chinese Pharmacological Bulletin 2024;40(8):1462-1473
Aim To study the proliferation,invasion and migration ability of Quaking(QKI)in gastric cancer(GC)via elucidating the molecular mechanisms associated with QKI in the occurrence and development of GC through bioinformatics.Methods Differential expression analysis of QKI was performed across vari-ous human cancer samples by merging data from the TCGA and GTEx databases.The correlation was ana-lyzed between QKI protein expression and tumor muta-tion burden(TMB)score,microsatellite instability(MSI)score,and ESTIMATE score,and the correla-tion was also explored between QKI protein expression and overall survival(OS),disease free survival(DFS),and progression free survival(PFS).EMT related genes that could encode DECircRNAs were ob-tained through bioinformatics analysis to construct a QKI-EMT-circRNAs regulatory network.The differenti-ally expressed circRNAs and EMT related genes in TMK1 cells were verified.The proliferation,invasion and migration ability of the QKI was studied by using the knockdown system.Results QKI was differential-ly expressed in the vast majority of tumors and was closely related to TMB,MSI,and tumor microenviron-ment(TME);QKI emerged as a high-risk factor for predicting OS,DFS,and PFS in individuals with com-mon human cancers.QKI regulated the splicing of 6 EMT related gene transcripts to form eight circRNAs,all of which were significantly associated with the prog-nosis of gastric cancer patients.Cell experiments showed that compared to normal gastric epithelial cells,only hsa_ccirc_0004015,CALD1,and CDK14 were down-regulated in TMK1 cells.Knocking down QKI inhibited the proliferation,invasion and migration ability of TMK1 cells.Conclusion QKI exerts regu-latory control over the transcription of six EMT-related genes,resulting in the formation of circRNAs,thereby promoting the pathogenesis and progression of GC.QKI is highly expressed in TMK1 cells,and knock-down of QKI can inhibit the proliferation,invasion and migration ability of TMK1 cells.
8.Effect of cardiac shock wave therapy on electrocardiogram and myocardial perfusion in coronary artery disease patients
Chun-Mei TIAN ; Jing-Jing ZHENG ; Na JIA ; Lin ZHANG ; Bao-Yi LIU ; Jun-Meng LIU ; Ming LAN ; Bing LIU
Chinese Journal of Interventional Cardiology 2024;32(6):317-323
Objective To explore the effect of cardiac shock wave therapy(CSWT)on ST deviation of electrocardiogram and myocardial perfusion imaging in coronary artery disease(CAD)patients.Methods CAD patients who received CSWT in Cardiology Department of Beijing Hospital from December 2016 to August 2022 were enrolled.Three months of CSWT were conducted with a total of 9 times shock wave treatment.Clinical data,myocardial perfusion imaging data and stress electrocardiogram data were collected.Myocardial perfusion score,electrocardiographic data were compared before and after CSWT.Results A total of 55 patients were finally enrolled.There were 43 male and 12 female patients with an average age of(67.45±8.96)years old.ST deviation on 12 leads of electrocardiogram did not show significant difference before and after CSWT.Myocardial perfusion imaging showed global stress perfusion score(P=0.031)and reverse perfusion score(P=0.024).Global rest ischemia score reduced after CSWT(P=0.034).Target stress perfusion score(P=0.002),target reverse perfusion score(P=0.002),target reverse ischemic area(P=0.001)were improved after CSWT.Conclusions CSWT may not influence ST deviation of electrocardiogram,but may improve myocardial ischemia in CAD patients,
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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