1.Protocol for patient version of the cancer symptom management guideline
Jing CHI ; Lanfang ZHANG ; Tingting YANG ; Shihui XIE ; Chaixiu LI ; Shisi DENG ; Jianyao TANG ; Chuhan ZHONG ; Bingqian GUO ; Qiuyan REN ; Yuman LI ; Zhengya QIN ; Ping ZHAO ; Yanni WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(06):900-907
Effective symptom management can alleviate the physical and psychological distress experienced by patients with cancer, improve quality of life, and contribute to treatment adherence and improve clinical outcomes. However, most existing guidelines are developed for healthcare professionals, and patients and the public have limited access to standardized and comprehensible guidance on symptom management. To address this gap and to facilitate effective communication and shared decision-making, this study proposes the development of a patient version of the cancer symptom management guideline. The development process will adhere to the methodological framework recommended by the Guidelines International Network and the World Health Organization. The GRADE approach will be employed to assess the certainty of evidence and to formulate recommendations. In addition, the process will be informed by the Appraisal of Guidelines for Research and Evaluation Ⅱ (AGREE Ⅱ) instrument and the Reporting Items for Practice Guidelines in Healthcare-Public or Patient Versions of Guidelines (RIGHT-PVG). This protocol outlines the establishment of the guideline working group, the identification and prioritization of key questions, evidence retrieval and appraisal, and the formulation of recommendations, with the aim of ensuring methodological rigor and transparency in the development of the patient guideline and providing methodological reference for similar guideline initiatives.
2.A Novel Risk Prediction Model for Chronic Atrophic Gastritis Based on Traditional Chinese Medicine Spleen Deficiency and Blood Stasis Syndromes and Gastric Stem Cell Dynamics
Qingqing ZHANG ; Di WU ; Fengyun GUO ; Shengnan YANG ; Ruiying ZHANG ; Lijing BAO ; Ping WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):191-200
ObjectiveTo construct a risk prediction model for chronic atrophic gastritis (CAG) that combines disease and syndrome by integrating spleen deficiency and blood stasis syndrome scores, gastric stem cell marker analysis, and network pharmacology and to elucidate the mechanism link between spleen deficiency, blood stasis, and gastric stem cell dysregulation. MethodsA total of 60 patients were stratified into high-risk CAG, low-risk CAG, and non-atrophic groups based on the operative link for gastritis assessment (OLGA)/operative link for gastric intestinal metaplasia assessment (OLGIM) stages. General data and syndrome scores of the patients were collected. Immunohistochemistry was employed to measure the protein levels of leucine-rich repeat-containing G protein-coupled receptor 5 (LGR5), trefoil factor 2 (TFF2), and β-catenin in gastric mucosa across groups. Transcriptomic data (GSE130823) from the Gene Expression Omnibus (GEO) database were analyzed to validate the expression of these molecular markers at the gene level. A Firth penalized maximum likelihood logistic regression model was employed to integrate clinical, molecular, and TCM syndrome data to develop a CAG risk prediction model. Finally, network pharmacology analysis was conducted on spleen-invigorating herbs (Astragali Radix, Atractylodis Macrocephalae Rhizoma, and Dioscorea Rhizoma) and blood-activating herbs (Hedyotis diffusa, Salviae Miltiorrhizae Radix et Rhizoma, and Curcumae Rhizoma) to identify overlapping targets between these herbs and differentially expressed genes between low-grade intraepithelial neoplasia (LGIN) and gastritis, thereby clarifying the role of spleen deficiency and blood stasis in CAG progression from a pharmacological perspective. ResultsHigh-risk CAG patients exhibited higher blood stasis scores (4.60±1.50,2.62±1.32, P<0.01), progressive nuclear accumulation of β-catenin (A 0.28-0.53, P<0.01), and an increased LGR5+/TFF2+ ratio (A 1.02-1.92, P<0.01). Blood stasis scores were correlated with LGR5/TFF2 imbalance (P=0.03) and activation of the Wnt/β-catenin signaling pathway (CTNNB1 increase, log2=0.78). The integrated prediction model (blood stasis score≥5 + β-catenin>0.38 + LGR5/TFF2>1.5) outperformed a pure biomarker approach [Area Under the Curve (AUC) 0.92,0.89, ΔAUC=0.03, P=0.02]. Moreover, network pharmacology revealed 66 overlapping targets between spleen-invigorating/blood-activating herbs and LGIN, which were functionally enriched in mucosal repair and anti-oxidative stress, and negatively correlated with the Wnt/β-catenin signaling pathway (P<0.01). ConclusionThis study developed an integrated risk prediction model for CAG by combining TCM spleen deficiency and blood stasis syndromes with gastric stem cell molecular markers. Furthermore, it proposed for the first time the "blood stasis-Wnt/β-catenin-stem cell axis" hypothesis, preliminarily elucidating that spleen deficiency and blood stasis may exacerbate gastric stem cell dysregulation and promote malignant transformation of CAG through hypoxia-induced Wnt activation. This provides a theoretical foundation and a translational tool for risk stratification and multi-target TCM intervention in CAG.
3.A Novel Risk Prediction Model for Chronic Atrophic Gastritis Based on Traditional Chinese Medicine Spleen Deficiency and Blood Stasis Syndromes and Gastric Stem Cell Dynamics
Qingqing ZHANG ; Di WU ; Fengyun GUO ; Shengnan YANG ; Ruiying ZHANG ; Lijing BAO ; Ping WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):191-200
ObjectiveTo construct a risk prediction model for chronic atrophic gastritis (CAG) that combines disease and syndrome by integrating spleen deficiency and blood stasis syndrome scores, gastric stem cell marker analysis, and network pharmacology and to elucidate the mechanism link between spleen deficiency, blood stasis, and gastric stem cell dysregulation. MethodsA total of 60 patients were stratified into high-risk CAG, low-risk CAG, and non-atrophic groups based on the operative link for gastritis assessment (OLGA)/operative link for gastric intestinal metaplasia assessment (OLGIM) stages. General data and syndrome scores of the patients were collected. Immunohistochemistry was employed to measure the protein levels of leucine-rich repeat-containing G protein-coupled receptor 5 (LGR5), trefoil factor 2 (TFF2), and β-catenin in gastric mucosa across groups. Transcriptomic data (GSE130823) from the Gene Expression Omnibus (GEO) database were analyzed to validate the expression of these molecular markers at the gene level. A Firth penalized maximum likelihood logistic regression model was employed to integrate clinical, molecular, and TCM syndrome data to develop a CAG risk prediction model. Finally, network pharmacology analysis was conducted on spleen-invigorating herbs (Astragali Radix, Atractylodis Macrocephalae Rhizoma, and Dioscorea Rhizoma) and blood-activating herbs (Hedyotis diffusa, Salviae Miltiorrhizae Radix et Rhizoma, and Curcumae Rhizoma) to identify overlapping targets between these herbs and differentially expressed genes between low-grade intraepithelial neoplasia (LGIN) and gastritis, thereby clarifying the role of spleen deficiency and blood stasis in CAG progression from a pharmacological perspective. ResultsHigh-risk CAG patients exhibited higher blood stasis scores (4.60±1.50,2.62±1.32, P<0.01), progressive nuclear accumulation of β-catenin (A 0.28-0.53, P<0.01), and an increased LGR5+/TFF2+ ratio (A 1.02-1.92, P<0.01). Blood stasis scores were correlated with LGR5/TFF2 imbalance (P=0.03) and activation of the Wnt/β-catenin signaling pathway (CTNNB1 increase, log2=0.78). The integrated prediction model (blood stasis score≥5 + β-catenin>0.38 + LGR5/TFF2>1.5) outperformed a pure biomarker approach [Area Under the Curve (AUC) 0.92,0.89, ΔAUC=0.03, P=0.02]. Moreover, network pharmacology revealed 66 overlapping targets between spleen-invigorating/blood-activating herbs and LGIN, which were functionally enriched in mucosal repair and anti-oxidative stress, and negatively correlated with the Wnt/β-catenin signaling pathway (P<0.01). ConclusionThis study developed an integrated risk prediction model for CAG by combining TCM spleen deficiency and blood stasis syndromes with gastric stem cell molecular markers. Furthermore, it proposed for the first time the "blood stasis-Wnt/β-catenin-stem cell axis" hypothesis, preliminarily elucidating that spleen deficiency and blood stasis may exacerbate gastric stem cell dysregulation and promote malignant transformation of CAG through hypoxia-induced Wnt activation. This provides a theoretical foundation and a translational tool for risk stratification and multi-target TCM intervention in CAG.
4.UPLC-Q-TOF-MS combined with network pharmacology reveals effect and mechanism of Gentianella turkestanorum total extract in ameliorating non-alcoholic steatohepatitis.
Wu DAI ; Dong-Xuan ZHENG ; Ruo-Yu GENG ; Li-Mei WEN ; Bo-Wei JU ; Qiang HOU ; Ya-Li GUO ; Xiang GAO ; Jun-Ping HU ; Jian-Hua YANG
China Journal of Chinese Materia Medica 2025;50(7):1938-1948
This study aims to reveal the effect and mechanism of Gentianella turkestanorum total extract(GTI) in ameliorating non-alcoholic steatohepatitis(NASH). UPLC-Q-TOF-MS was employed to identify the chemical components in GTI. SwissTarget-Prediction, GeneCards, OMIM, and TTD were utilized to screen the targets of GTI components and NASH. The common targets shared by GTI components and NASH were filtered through the STRING database and Cytoscape 3.9.0 to identify core targets, followed by GO and KEGG enrichment analysis. AutoDock was used for molecular docking of key components with core targets. A mouse model of NASH was established with a methionine-choline-deficient high-fat diet. A 4-week drug intervention was conducted, during which mouse weight was monitored, and the liver-to-brain ratio was measured at the end. Hematoxylin-eosin staining, Sirius red staining, and oil red O staining were employed to observe the pathological changes in the liver tissue. The levels of various biomarkers, including aspartate aminotransferase(AST), alanine aminotransferase(ALT), hydroxyproline(HYP), total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), malondialdehyde(MDA), superoxide dismutase(SOD), and glutathione(GSH), in the serum and liver tissue were determined. RT-qPCR was conducted to measure the mRNA levels of interleukin 1β(IL-1β), interleukin 6(IL-6), tumor necrosis factor α(TNF-α), collagen type I α1 chain(COL1A1), and α-smooth muscle actin(α-SMA). Western blotting was conducted to determine the protein levels of IL-1β, IL-6, TNF-α, and potential drug targets identified through network pharmacology. UPLC-Q-TOF/MS identified 581 chemical components of GTI, and 534 targets of GTI and 1 157 targets of NASH were screened out. The topological analysis of the common targets shared by GTI and NASH identified core targets such as IL-1β, IL-6, protein kinase B(AKT), TNF, and peroxisome proliferator activated receptor gamma(PPARG). GO and KEGG analyses indicated that the ameliorating effect of GTI on NASH was related to inflammatory responses and the phosphoinositide 3-kinase(PI3K)/AKT pathway. The staining results demonstrated that GTI ameliorated hepatocyte vacuolation, swelling, ballooning, and lipid accumulation in NASH mice. Compared with the model group, high doses of GTI reduced the AST, ALT, HYP, TC, and TG levels(P<0.01) while increasing the HDL-C, SOD, and GSH levels(P<0.01). RT-qPCR results showed that GTI down-regulated the mRNA levels of IL-1β, IL-6, TNF-α, COL1A1, and α-SMA(P<0.01). Western blot results indicated that GTI down-regulated the protein levels of IL-1β, IL-6, TNF-α, phosphorylated PI3K(p-PI3K), phosphorylated AKT(p-AKT), phosphorylated inhibitor of nuclear factor kappa B alpha(p-IκBα), and nuclear factor kappa B(NF-κB)(P<0.01). In summary, GTI ameliorates inflammation, dyslipidemia, and oxidative stress associated with NASH by regulating the PI3K/AKT/NF-κB signaling pathway.
Animals
;
Non-alcoholic Fatty Liver Disease/genetics*
;
Mice
;
Network Pharmacology
;
Male
;
Drugs, Chinese Herbal/administration & dosage*
;
Chromatography, High Pressure Liquid
;
Liver/metabolism*
;
Mice, Inbred C57BL
;
Humans
;
Mass Spectrometry
;
Tumor Necrosis Factor-alpha/metabolism*
;
Disease Models, Animal
;
Molecular Docking Simulation
5.Polysaccharide extract PCP1 from Polygonatum cyrtonema ameliorates cerebral ischemia-reperfusion injury in rats by inhibiting TLR4/NLRP3 pathway.
Xin ZHAN ; Zi-Xu LI ; Zhu YANG ; Jie YU ; Wen CAO ; Zhen-Dong WU ; Jiang-Ping WU ; Qiu-Yue LYU ; Hui CHE ; Guo-Dong WANG ; Jun HAN
China Journal of Chinese Materia Medica 2025;50(9):2450-2460
This study aims to investigate the protective effects and mechanisms of polysaccharide extract PCP1 from Polygonatum cyrtonema in ameliorating cerebral ischemia-reperfusion(I/R) injury in rats through modulation of the Toll-like receptor 4(TLR4)/NOD-like receptor protein 3(NLRP3) signaling pathway. In vivo, SD rats were randomly divided into the sham group, model group, PCP1 group, nimodipine(NMDP) group, and TLR4 signaling inhibitor(TAK-242) group. A middle cerebral artery occlusion/reperfusion(MCAO/R) model was established, and neurological deficit scores and infarct size were evaluated 24 hours after reperfusion. Hematoxylin-eosin(HE) and Nissl staining were used to observe pathological changes in ischemic brain tissue. Transmission electron microscopy(TEM) assessed ultrastructural damage in cortical neurons. Enzyme-linked immunosorbent assay(ELISA) was used to measure the levels of interleukin-1β(IL-1β), interleukin-6(IL-6), interleukin-18(IL-18), tumor necrosis factor-α(TNF-α), interleukin-10(IL-10), and nitric oxide(NO) in serum. Immunofluorescence was used to analyze the expression of TLR4 and NLRP3 proteins. In vitro, a BV2 microglial cell oxygen-glucose deprivation/reperfusion(OGD/R) model was established, and cells were divided into the control, OGD/R, PCP1, TAK-242, and PCP1 + TLR4 activator lipopolysaccharide(LPS) groups. The CCK-8 assay evaluated BV2 cell viability, and ELISA determined NO release. Western blot was used to analyze the expression of TLR4, NLRP3, and downstream pathway-related proteins. The results indicated that, compared with the model group, PCP1 significantly reduced neurological deficit scores, infarct size, ischemic tissue pathology, cortical cell damage, and the levels of inflammatory factors IL-1β, IL-6, IL-18, TNF-α, and NO(P<0.01). It also elevated IL-10 levels(P<0.01) and decreased the expression of TLR4 and NLRP3 proteins(P<0.05, P<0.01). Moreover, in vitro results showed that, compared with the OGD/R group, PCP1 significantly improved BV2 cell viability(P<0.05, P<0.01), reduced cell NO levels induced by OGD/R(P<0.01), and inhibited the expression of TLR4-related inflammatory pathway proteins, including TLR4, myeloid differentiation factor 88(MyD88), tumor necrosis factor receptor-associated factor 6(TRAF6), phosphorylated nuclear factor-kappaB dimer RelA(p-p65)/nuclear factor-kappaB dimer RelA(p65), NLRP3, cleaved-caspase-1, apoptosis-associated speck-like protein(ASC), GSDMD-N, IL-1β, and IL-18(P<0.05, P<0.01). The protective effects of PCP1 were reversed by LPS stimulation. In conclusion, PCP1 ameliorates cerebral I/R injury by modulating the TLR4/NLRP3 signaling pathway, exerting anti-inflammatory and anti-pyroptotic effects.
Animals
;
Toll-Like Receptor 4/genetics*
;
NLR Family, Pyrin Domain-Containing 3 Protein/genetics*
;
Rats, Sprague-Dawley
;
Rats
;
Reperfusion Injury/genetics*
;
Male
;
Signal Transduction/drug effects*
;
Polysaccharides/isolation & purification*
;
Polygonatum/chemistry*
;
Brain Ischemia/genetics*
;
Drugs, Chinese Herbal/administration & dosage*
;
Mice
;
Humans
6.CURRENT DISTRIBUTION OF AEDES AEGYPTI IN LEIZHOU PENINSULA,ZHANJIANG CITY,GUANGDONG PROVINCE
Rui-Peng LU ; Jin-Hua DUAN ; Yu-Wen ZHONG ; Hui DENG ; Jun WU ; Li-Ping LIU ; Wei-Xiong YIN ; Feng XING ; Hui HUANG ; Chang-Jie FU ; Zong-Jing CHEN ; Ming-Ji CHENG ; Sheng-Jun HU ; Ya-Ting CHEN ; Wen-Ting GUO ; Li-Feng LIN
Acta Parasitologica et Medica Entomologica Sinica 2025;32(1):16-21
Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.
7.Association of sleep quality with overweight and obesity among middle school students
Chinese Journal of School Health 2025;46(6):779-782
Objective:
To explore relationship of sleep quality with overweight and obesity among middle school students, so as to provide a reference basis for improving adolescent sleep health.
Methods:
From September to December 2023, 5 713 middle school students aged 13 to 18 were selected by stratified cluster random sampling method in six regions, including Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi. Sleep quality survey was conducted on middle school students by Pittsburgh Sleep Quality Index. Height and weight were measured, and World Health Organization s standards for growth and development of children and adolescents was used to evaluate their nutritional status. Both χ 2 test and Logistic regression analysis were used to analyze the association between sleep quality and nutritional status of middle school students.
Results:
The non compliance detection rate of sleep quality was 38.4% among girls, but 29.2% among boys, and the difference was of statistical significance( χ 2=54.08, P < 0.01 ). The detection rate of substandard sleep quality was 34.2% in the group with normal nutritional status, 38.3% in the group with overweight, 43.7% in the group with obesity and 26.0% in the group with emaciation, and the difference in the rates of substandard sleep quality among middle school students of different nutritional status was statistically significant ( χ 2=68.15, P <0.01). Logistic regression analysis showed that, after controlling for mental health and physical activity, the detection rate of substandard sleep quality in the obese groups was 1.30 times higher than that in the normal group, respectively( OR =1.30, 95% CI =1.06- 1.59 , P <0.01).
Conclusions
Sleep quality is correlated with overweight and obesity among middle school students, and there are gender differences. Intervention policies should be formulated according to the characteristics of different genders.
8.Chemical constituents from Radix Puerariae Lobatae from Anhui province and their in vitro lipid-lowering activities
Jie YU ; Zhu YANG ; Qiu-yue LÜ ; Guo-dong WANG ; Jun HAN ; Jiang-ping WU
Chinese Traditional Patent Medicine 2025;47(5):1531-1539
AIM To study the chemical constituents from Radix Puerariae Lobatae from Anhui province and their in vitro lipid-lowering activity.METHODS D101 macroporous resin,silica gel,MCI,and semi-preparative HPLC were used for isolation and purification,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The lipid accumulation model was established by palmitic acid-induced hepatocyte AML12,and the in vitro lipid-lowering activity was evaluated.RESULTS Twenty-one compounds were isolated and identified as carboxymethyl isoferulate(1),methyl(E)feruloylglycolate(2),ariscucurbin-A(3),trans-p-coumaroygly colic acid(4),indole-3-carboxaldehyde(5),β-sitosterol(6),puerol A(7),pueroside C(8),cumoestrol(9),dihydrofurocoumarin(10),decuroside V(11),psoralen dimer(12),bergapten dimer(13),isoliquiritigenin(14),neoliquiritin(15),calycosin(16),daidzein(17),3,4,7-trihydroxyisoflavone(18),ononin(19),genistein(20),genistin(21).Compounds 1-4、7-10、13 and 17-19 significantly inhibited lipid accumulation in AML12 cells,and compound 9 inhibited PPAR-γ expression.CONCLUSION Compounds 1-6,10-13 are isolated from Pueraria genus for the first time.Compounds 1-4,7-10,13 and 17-19 have good lipid-lowering activity.
9.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
10.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.


Result Analysis
Print
Save
E-mail