1.Huaier Enhances Efficacy of Oxaliplatin in Treatment of Gastric Cancer by Improving Gut Microbiota
Shenglian ZHANG ; Zhimin DU ; Yi GONG ; Meiqi LAN ; Ping LIU ; Yajun XIONG ; Yanli GONG ; Xiaoyong SONG ; Junli LI ; Ruizhi WANG ; Yuting GAO ; Huanhu ZHANG ; Xinli SHI
Cancer Research on Prevention and Treatment 2026;53(3):176-186
Objective To elucidate the changes in the gut microbiota and molecular mechanism of huaier in
2.Influenza A virus infection activates TLR3-mediated necroptosis
Weijie LI ; Congying HUANG ; Ziling ZENG ; Xiang LI ; Jia XU ; Tian GONG ; Hao ZHANG ; Xinyan ZHANG ; Ping WANG ; Yuanjia HU ; Haiyu XU ; Lijuan SONG
Science of Traditional Chinese Medicine 2026;4(1):40-49
Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 −10; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 −7). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.
3.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.
4.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.
5.Exploring the Potential Mechanism of Action of Licorice against COVID-19 Based on A Multidimensional Interaction Network of"Component-Disease-Symptom-Target"
Tian GONG ; Weijie LI ; Zhaoyin ZHOU ; Yute ZHONG ; Ping WANG ; Zhijie MA ; Haiyu XU
Journal of Nanjing University of Traditional Chinese Medicine 2025;41(11):1464-1479
OBJECTIVE To explore the potential mechanisms and bioactive compounds of licorice against COVID-19 based on a multidimensional interaction of"component-disease-symptom-target".METHODS Firstly,candidate target sets for licorice compo-nents were obtained from the ETCM2.0 database based on the Encyclopedia of Traditional Chinese Medicine,and the disease symp-toms and associated target sets for COVID-19 were derived from the GeneCards and HPO databases.And then a protein interaction network was constructed using the String database(version 12.0).By calculating topological eigenvalues and functional enrichment analysis,the potential mechanisms of action were explored.Combined with Schr?dinger molecular docking virtual screening,candidate pharmacodynamic substances were identified.Fluorescence resonance energy transfer was used for experimental verification.RESULTS Licorice might improve symptoms of COVID-19(fever,chest pain and so on)by regulating the imbalance of"immune-inflammation"network and signal transduction abnormalities during the development and progress of COVID-19,such as coronavirus disease-COVID-19,Toll-like receptor signaling pathway and NOD-like receptor signaling pathway.The components,such as Isos-chaftoside and Hesperidin,were identified to possess high binding affinity with the critical enzymes for viral replication.Isoschaftoside,Hesperidin,Isoliquiritin apioside and Vicenin-2 exhibited varying degrees of inhibition on the enzyme of 3CLpro at different concentra-tions while excluding the interference of the compounds' fluorescence.CONCLUSION Through experimental verification using a multidimensional interaction network of"component-disease-symptom-target",the key pharmacologically active substances of licorice in the fight against COVID-19 are preliminarily identified,and their mechanism of action through overall regulation is elucidated.
6.A multicenter,randomized,control clinical trial comparing the efficacy and safety of recombinant staphylokinase and alteplase in the treatment of acute ST-segment elevation myocardial infarction
Xin-gang WANG ; Guo-feng CHANG ; Rui-ping ZHAO ; Xiao-Li GAO ; Fang-Fang FAN ; Yan-jun GONG ; Jie JIANG ; Yong HUO
Chinese Journal of Interventional Cardiology 2025;33(6):319-326
Objective To evaluate the efficacy and safety of recombinant staphylokinase in patients with acute ST-segment elevation myocardial infarction(STEMI)by a multi-center,randomized,position-controlled,parallel post-marketing clinical trial.Methods This study was a multi-center,randomized,positive drug parallel control,non-inferiority clinical trial.From July 2019 to June 2022,a total of 251 patients with STEMI were enrolled in 31 hospitals.Patients were randomly assigned to receive intravenous staphylokinase or alteplase in a ratio of 1∶1.Vascular recanalization was evaluated by clinical indicators 30 minutes,60 minutes and 120 minutes after the initiation of thrombolysis.Coronary angiography was performed 90 to 120 minutes after the initiation of thrombolysis.The proportion of infarct-related artery(IRA)with thrombolysis in myocardial infarction(TIMI)grade Ⅱ and Ⅲ,corrected TIMI frame count(CTFC)and TIMI myocardial perfusion grade(TMPG)were analyzed Major adverse cardiac events(MACE,including all-cause death,rehospitalization,reinfarction,urgent target vessel revascularization)and bleeding events were followed up at 30 days(±2 days)after thrombolysis.Results After excluding 7 subjects who did not use thrombolytic drugs,244 subjects were finally eligibled from 31 hospitals(117 in trial group and 127 in control group),and 232 subjects completed the follow-up(111 in trial group and 121 in control group).The vascular recanalization rate evaluated by clinical indicators at 120 minutes after thrombolysis was 85.6% in trial group and 83.5% in control group(P=0.657).The difference between the two groups was 2.11(95%CI-7.19-11.41).Given that the lower confidence limit of the 95%CI was greater than-12%,the non-inferiority of the vascular recanalization rate was established based on clinical judgment.Coronary angiography showed that the total patency rate of IRA(TIMIⅡ-Ⅲ)was 77.5% in trial group and 77.7% in control group(P=0.970).The difference between the two groups was-0.21(95%CI-10.95-10.54),with the lower bound of the 95%CI exceeding-12%.Therefore,the non-inferiority of the TIMI blood flow grade was confirmed,indicating that the total patency rate of IRA in the trial group was not inferior to that in the control group.The CTFC was(32.7±17.6)frames in trial group and(37.6±16.6)frames in control group,with no statistically significant difference between the two groups(P=0.054).The difference between the two groups was-4.9(95%CI-10.0-0.1).As the lower limit of the 95%CI exceeded-12%,the noninferiority of CTFC was successfully demonstrated.The proportions of TMPG 0-Ⅲ were 20.7%,6.3%,2.7%and 69.4%in trial group,and 22.3%,4.1%,6.6% and 66.9% in control group,respectively.There was no significant difference in TIMI myocardial perfusion grade between the two groups(P=0.086).The incidence of MACE was 7.7% in trial group and 7.1% in control group within 30 days after the initiation of thrombolysis,and there was no significant difference between the two groups(P=0.857).Further analysis showed that there was no significant difference in cardiovascular mortality(3.4% vs.4.7%,P=0.751).All 244 subjects were included in the safety analysis set.There was no significant difference in the total incidence of bleeding events between the two groups(22.2% vs.15.0%,P=0.144).There was no significant difference in the incidence of major bleeding(1.7% vs.0.8%,P=0.609).Conclusions Recombinant staphylokinase is simple to use and has a rapid onset of action.The efficacy and safety of recombinant staphylokinase are not inferior to alteplase in the treatment of acute STEMI.
7.Expert consensus on sensitive indicators for assessment of the quality of nursing in operating theatre
Yangxi SHEN ; Ping WANG ; Xiaojun CHEN ; Guiyuan LUO ; Fengqiu GONG ; Yun LI ; Chenhui DENG ; Yuqin SUN ; Qin GUO ; Jinyan LI ; Shuyan ZENG
Modern Clinical Nursing 2025;24(5):1-9
Objective To develop the Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre and provide a scientific and practical guidance for improving the quality of nursing in operating theatre.Methods The writing team established by the Operating Room Nursing Professional Committee of Guangdong Nursing Association conducted systematic literature retrieval and screening,and used the updated clinical Guidelines for Research and Evaluation Ⅱ in UK 2017.AGREE Ⅱ and the evidence evaluation system of the Australian JBI(Joanna Briggs Institute,JBI)Evidence-Based Health Care Center evidence level system(2016 Edition)comprehensively analyzed the evidence related to the sensitive indicators for evaluating the quality of operating room nursing and the suggestions of the writing group members.The first draft was formed based on the three-dimensional quality evaluation theoretical framework of"structure-process-result".Through the Delphi method,after two rounds of expert consultations and members'votes,the first draft was deeply revised and improved.Results Based on the three-dimensional quality evaluation theoretical framework of"structure-process-outcome"proposed by American scholar Donabedian,the expert consensus finally included five primary indicators:basic nursing quality,quality indicators of patient safety,quality indicators of hospital infection control,quality indicators of medication and safety management,and quality indicators of specialised nursing in operating theatre.The secondary indicators consisted of one structural indicator(management of commonly used instrument and equipment in operating theatre)and 17 process indicators(e.g.,infusion and blood transfusion management,body temperature management,etc.).The tertiary indicators included 26 process indicators and 11 outcome indicators(e.g.,incidence of adverse reactions of infusion during surgery,incidence of intra-operative hypothermia,etc.).Conclusion The evidence-and guideline-based Expert Consensus on Sensitive Indicators for Assessment of the Quality of Nursing in Operating Theatre based on eviclence and guidelines was established through rigorous evidence-based methods.It is operational and practical,and offers theoretical support and practical guidance for the managers of operating theatre to improve the quality of nursing.
8.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
9.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
10.The Effects of Curcumin on Blood Glucose in Patients at High Risk of Gestational Diabetes Mellitus
Mei-jia HE ; Ping GONG ; Jia-qi LI ; Liu YANG ; Yu-rong HUA
Progress in Modern Biomedicine 2025;25(10):1628-1640,1706
Objective:To investigate the effect of curcumin on blood glucose levels in pregnant women at high risk of Gestational Diabetes Mellitus(GDM).Methods:One hundred and twenty-four pregnant women with high-risk factors for GDM were included in a cross-sectional study according to the inclusion and exclusion criteria.After undergoing an Oral Glucose Tolerance Test,participants were divided into the GDM group(n=61)and the non-GDM group(n=63).Subsequently,a randomized controlled trial was performed to compare Fasting Plasma Glucose(FPG)levels between the control group(n=8)and the intervention group(n=8).Results:The cross-sectional study revealed that the GDM group had significantly higher rates of pre-pregnancy BMI ≥ 24 kg/m2,early pregnancy HbA1c≥5.7%,impaired fasting glucose or glucose tolerance,and lack of exercise compared to the non-GDM group(P<0.05).FPG levels in the GDM group were significantly higher than those in the non-GDM group at all stages of pregnancy.Multivariable linear regression analysis showed that the impact of high-risk factors on FPG gradually diminished as pregnancy progressed.In the randomized controlled experiment,all cases in the control group developed GDM;one case in the curcumin intervention group did not,whose intervention time was the earliest and longest.Pearson correlation analysis indicated a positive correlation between the duration of curcumin intervention and changes in FPG values,although the correlation was not statistically significant(P>0.05).By the descriptive statistical analysis,within-group comparisons showed no significant differences in the median and percentiles of FPG values between the control group in late pregnancy and early pregnancy.However,the median and percentiles of FPG values were significantly lower post-intervention compared to curcumin pre-intervention.Between-group comparisons revealed that the mean FPG in the curcumin intervention group decreased significantly more than in the control group.These results suggested that curcumin might have a potential impact on FPG.No significant differences were observed in neonatal outcomes between the curcumin intervention and control groups.Conclusions:Pregnant women with high risk factors for GDM should be paid enough attention in clinical practice.All these results have demonstrated that curcumin has a positive regulatory effect on FPG in patients with GDM,which may provide a new adjunctive method for the treatment of GDM.

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