1.Treatment Principles and Paradigm of Diabetic Microvascular Complications Responding Specifically to Traditional Chinese Medicine
Anzhu WANG ; Xing HANG ; Lili ZHANG ; Xiaorong ZHU ; Dantao PENG ; Ying FAN ; Min ZHANG ; Wenliang LYU ; Guoliang ZHANG ; Xiai WU ; Jia MI ; Jiaxing TIAN ; Wei ZHANG ; Han WANG ; Yuan XU ; .LI PINGPING ; Zhenyu WANG ; Ying ZHANG ; Dongmei SUN ; Yi HE ; Mei MO ; Xiaoxiao ZHANG ; Linhua ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):272-279
To explore the advantages of traditional Chinese medicine (TCM) and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications (DMC), refine key pathophysiological insights and treatment principles, and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine, hosted by the China Association of Chinese Medicine, was held in Beijing, 2024. Experts in TCM, Western medicine, and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis, diagnostic and treatment challenges, and mechanism research related to DMC, ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development, research prioritization, and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM, strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.
2.Application of SWOT analysis-guided risk control management in patients with atherosclerotic obliter-ans
Wei SU ; Mei WANG ; Ying-hao MA ; Juan ZHOU ; Jun-ying LU
Chinese Journal of cardiovascular Rehabilitation Medicine 2025;34(1):86-91
Objective:To investigate the application effect of strengths,weaknesses,opportunities and threats(SWOT)analysis-guided risk control management in patients with atherosclerotic obliterans(ASO).Methods:This randomized controlled study enrolled 105 ASO patients admitted in Chinese People's Liberation Army Rocket Force Characteristic Medical Center between November 2017 and November 2022.They were divided into control group(n=52,routine nursing)and intervention group(n=53,SWOT analysis-guided risk control management).Renal function,postoperative recovery,psychological status,sleep quality,pain,incidence of adverse reactions and nursing satisfaction were compared between two groups.Results:3 d after surgery,compared with patients in con-trol group,those in intervention group had significant lower cystatin C(CysC)[(1.04±0.11)mg/L vs.(1.40±0.12)mg/L],serum creatinine(Scr)[(70.70±6.48)μmol/L vs.(82.93±9.32)μmol/L]and urinary protein[(2.38±0.13)g/L vs.(3.56±0.17)g/L](P<0.001 all);7d after surgery,compared with patients in control group,those in intervention group had significant lower incidence of adverse reactions(7.55%vs.23.08%),scores of self-rating anxiety scale(SAS)[(34.09±3.40)points vs.(39.50±3.12)points],self-rating depression scale(SDS)[(24.42±3.34)points vs.(32.04±2.77)points],Pittsburgh sleep quality index(PSQI)[(7.09±1.48)points vs.(10.19±1.65)points]and visual analogue scale(VAS)[(3.09±0.84)points vs.(4.33±1.15)points],and significant higher limp distance[(2407.89±130.09)m vs.(1521.26±102.26)m]and ankle-brachi-al index[(0.87±0.03)vs.(0.62±0.04)](P<0.05 or<0.01).After discharge,nursing satisfaction in inter-vention group was significantly higher than that of control group(92.45%vs.73.08%,P=0.008).Conclusion:SWOT analysis-guided risk control management could effectively reduce the damage of renal function caused by in-terventional surgery,reduce pain,improve negative emotion and sleep quality,and reduce incidence of adverse e-vents after surgery in patients with arteriosclerosis obliterans.
3.MST1 knockdown attenuates the anti-renal fibrosis effect of pERK inhibition by salvianolic acid B
Yu-xuan LI ; Ying-ying WANG ; Hui-min TAO ; Jie-mei JIANG ; Yan YANG
Chinese Pharmacological Bulletin 2025;41(11):2046-2052
Aim To explore the MST1 knockdown at-tenuates the inhibitory effect of salvianolic acid B(Sal B)on pERK anti-renal fibrosis.Methods In vitro experiments stimulated human renal cortical proximal tubular epithelial cells(HK-2)with XMU-XP-1(10μmol·L-1)inhibitor;in vivo experiments induced wild-type(WT)and MST1 systemic knockout mouse(MST1-/-)renal fibrosis models with DEN/CCl4/C2H5OH(DCC)and interfered with Sal B(15 mg·kg-1·d-1,ig)intervention.Renal histopathology was observed by HE and Masson staining;α-SMA and pERK protein expression was detected by Western blot;and pERK protein expression was detected by im-munofluorescence.Results In vitro results showed that Sal B could inhibit pERK protein expression.In vivo results showed that Sal B could improve DCC-in-duced renal tissue pathological injury and inhibit α-SMA and pERK protein expression;MST1-/-aggrava-ted pathological injury and significantly up-regulated α-SMA and pERK protein expression.Conclusion Sal B reduces the stimulatory effect of XMU-MP-1 on HK-2 cells by inhibiting the phosphorylation of ERK protein;Sal B exerts its anti-renal fibrosis effect by inhibiting the phosphorylation of α-SMA protein and ERK pro-tein;and MST1-/-,aggravating the pathological inju-ry of renal tissue,significantly up-regulated the expres-sion of α-SMA and pERK protein,which in turn atten-uated the antirenal fibrosis effect of Sal B.
4.Dioscin inhibits IL-17+γδT cells to exert an anti-rheumatoid arthritis effect
Lin-mei PU ; Hao-hong ZHANG ; Chao-yu CHU ; Yuan-yuan NI ; Zhao WU ; Qing-yan MO ; Hong-yun WANG ; Ying XU ; Chun-ping WAN
Chinese Pharmacological Bulletin 2025;41(11):2082-2088
Aim To explore the mechanism by which dioscin regulates IL-17+γδT cells in the treatment of arthritis.Methods A collagen-induced arthritis(CIA)model was established in DBA/1 mice using bovine type Ⅱ collagen.The mice were randomly divid-ed into the CIA model group,methotrexate(MTX)positive control group,and dioscin low-dose(Dioscin-L),medium-dose(Dioscin-M),and high-dose(Dios-cin-H)groups.After intervention,the therapeutic effects were evaluated using scoring methods.Joint pathological damage was analyzed by hematoxylin and eosin(HE)staining.The levels of anti-collagen-spe-cific antibodies and the pro-inflammatory cytokine IL-17 were measured by ELISA.The expressions of γδT cells and their subtypes,as well as the secretion level of IL-17,were detected by flow cytometry.Results Dioscin significantly reduced the arthritis severity score in collagen-induced arthritis(CIA)mice,alleviated joint pathological damage,inhibited the production of IL-17 by splenic lymphocytes and the levels of anti-col-lagen-specific antibodies total IgG and IgG3,and de-creased the proportion of γδT cells in the lymph nodes,splenic γδT cells,and the Vδ4+T-cell subset.The level of IL-17 produced by the Vδ4 subtype in the lymph nodes of the intervention groups was lower than that in the model group,but the difference was not sta-tistically significant.Conclusion Dioscin has signifi-cant therapeutic effect on CIA,and its mechanism may be through the inhibition of γδT cells,but it is unlikely to be related to IL-17 derived from γδT cells.
5.Incidence and Mortality of Thyroid Cancer in Zhejiang Cancer Registration Areas in 2021 and Trends from 2000 to 2021
Caiying XIANG ; Ying CHEN ; Debing WANG ; Li XIE ; Huizhang LI ; Lingbin DU ; Mei LU ; Yanfei QIU
China Cancer 2025;34(10):756-763
[Purpose]To analyze the incidence and mortality of thyroid cancer in Zhejiang cancer registration areas in 2021 and trends from 2000 to 2021.[Methods]Based on cancer data from 22 registries across Zhejiang Province between 2000 and 2021,the crude incidence/mortality rates,age-standardized incidence/mortality rates of thyroid cancer by Chinese and world standard population(ASIRC/ASMRC,ASIRW/ASMRW),cumulative rate(0~74 years old)and truncated rate(35~64 years old)were analyzed.Joinpoint regression model was employed to calculate the annual percentage change(APC)and average annual percentage change(AAPC)with 95%confidence in-terval(CI)for analyzing trends of thyroid cancer incidence and mortality rates from 2000 to 2021.[Results]The crude incidence rate of thyroid cancer increased from 3.62/105 in 2000 to 79.66/105 in 2021,and ASIRC rose from 3.11/105 to 69.49/105(AAPC=15.55%,95%CI:14.65%~16.61%).The AAPC for ASIRC was slightly higher in female(15.54%,95%CI:14.71%~16.49%)than that in male(15.02%,95%CI:13.53%~16.82%).The increase was significantly more pronounced in rural areas(AAPC=23.34%,95%CI:21.48%~25.33%)compared to urban areas(AAPC=14.12%,95%CI:13.15%~15.43%).Among age groups,the age group of 15~44 years old showed the fastest increase in crude incidence rate(AAPC=20.37%,95%CI:18.46%~22.31%),followed by the age group of 45~64 years old(AAPC=18.41%,95%CI:16.65%~20.19%).Between 2000 and 2021,the crude mortality rate of thyroid cancer rose from 0.34/105 to 0.56/105(AAPC=5.52%,95%CI:3.45%~7.70%),the trend of ASMRC was relatively stable.[Conclusion]From 2000 to 2021,the incidence of thyroid cancer in Zhejiang Province increased markedly,especially among females and younger to middle-aged adults,while the age-standardized mortality rate remained stable.
6.Effect of"internet+"family doctor contract service model on controlling risk factors of atherosclerotic cardiovascular disease in young and middle-aged patients in the community
Ying WANG ; Xiao-mei YANG ; Ling-da SHEN
Fudan University Journal of Medical Sciences 2025;52(4):513-518
Objective To explore the efficacy of"internet+"family doctor contract service model on controlling risk factors related to atherosclerotic cardiovascular disease(ASCVD)such as hypertension,dyslipidemia,and diabetes in young and middle-aged patients in the community.Methods A total of 231 young and middle-aged patients with ASCVD who were contracted and treated regularly in Shanghai Yangpu District Xinjiangwancheng Community Health Service Center from Jan to Dec 2020.According to the different intervention models,they were divided into the traditional group receiving the conventional family doctor contract service and the Internet group taking"internet+"family doctor contract service mode for intervention.The systolic blood pressure,diastolic blood pressure,fasting plasma glucose(FPG),low density lipoprotein(LDL-C),triglyceride(TG)and total cholesterol(TC)were compared within and between the two groups before intervention,three months after intervention,and one year after intervention,to evaluate the control effects of the two intervention modes.Results The 231 patients,of which 113 cases in traditional group and 118 cases in Internet group,were recruited in the study.there were no significant differences in gender,age and proportions of hypertension,diabetes and dyslipidemia between the two groups.Before intervention,there were no significant differences in systolic blood pressure,diastolic blood pressure,FPG,LDL-C,TG and TC between the two groups.Three months after intervention,the systolic blood pressure,diastolic blood pressure,FPG,LDL-C,TG and TC of the two groups were significantly lower than those before the intervention(all P<0.05),and the systolic blood pressure and diastolic blood pressure of the Internet group were significantly lower than those of the traditional group(all P<0.05),but there was no significant difference between the two groups in FPG,LDL-C,TG and TC.One year after the intervention,the systolic blood pressure,diastolic blood pressure,FPG,LDL-C,TG and TC of the patients in the two groups decreased significantly compared with those before intervention(all P<0.05),while the Internet group decreased more significantly(all P<0.05).Conclusion Compared with the traditional contract model,"internet+"family doctor contract service had better management effect on ASCVD-related risk factors in young and middle-aged patients in the community,and benefits the patients to a higher degree.
7.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
8.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.
9.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.
10.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.

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