1.Visualization Analysis of Artificial Intelligence Literature in Forensic Research
Yi-Ming DONG ; Chun-Mei ZHAO ; Nian-Nian CHEN ; Li LUO ; Zhan-Peng LI ; Li-Kai WANG ; Xiao-Qian LI ; Ting-Gan REN ; Cai-Rong GAO ; Xiang-Jie GUO
Journal of Forensic Medicine 2024;40(1):1-14
Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.
2.Data Mining of Medication Rules for the Treatment of Atopic Dermatitis the Children by Chinese Medical Master XUAN Guo-Wei
Jin-Dian DONG ; Cheng-Cheng GE ; Yue PEI ; Shu-Qing XIONG ; Jia-Fen LIANG ; Qin LIU ; Xiu-Mei MO ; Hong-Yi LI
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(3):752-758
Objective Data mining technology was used to mine the medication rules of the prescriptions used in the treatment of pediatric atopic dermatitis by Chinese medical master XUAN Guo-Wei.Methods The medical records of effective cases of pediatric atopic dermatitis treated by Professor XUAN Guo-Wei at outpatient clinic were collected,and then the medical data were statistically analyzed using frequency statistics,association rule analysis and cluster analysis.Results A total of 242 prescriptions were included,involving 101 Chinese medicinals.There were 23 commonly-used herbs,and the 16 high-frequency herbs(frequency>100 times)were Glycyrrhizae Radix et Rhizoma,Saposhnikoviae Radix,Glehniae Radix,Perillae Folium,Ophiopogonis Radix,Cynanchi Paniculati Radix et Rhizoma,Microctis Folium,Dictamni Cortex,Scrophulariae Radix,Coicis Semen,Cicadae Periostracum,Lilii Bulbus,Rehmanniae Radix,Kochiae Fructus,Sclerotium Poriae Pararadicis,and Euryales Semen.The analysis of the medicinal properties showed that most of the herbs were sweet and cold,and mainly had the meridian tropism of the spleen,stomach and liver meridians.The association rule analysis yielded 24 commonly-used drug combinations and 20 association rules.Cluster analysis yielded 2 core drug combinations.Conclusion For the treatment of pediatric atopic dermatitis,Professor XUAN Guo-Wei focuses on the clearing,supplementing and harmonizing therapies,and the medication principle of"supporting the healthy-qi to eliminate the pathogen,and balancing the yin and yang"is applied throughout the treatment.
3.Effect and mechanism of dandelion flavonoids in alleviating lipopolysaccharide-induced colon epithelial cell injury
Jia-Qi ZHANG ; Dong-Xue MEI ; Sha LI ; Sheng-Gai GAO ; Jia ZHENG ; Hong-Xia LIANG ; Yi WANG
The Chinese Journal of Clinical Pharmacology 2024;40(4):549-553
Objective To investigate the protective effect of dandelion flavone(DF)on lipopolysaccharide(LPS)-induced colon epithelial cell injury by intervening oxidative stress and inflammation with AT-specific binding protein 2(SATB2).Methods Colon epithelial cells FHC were cultured.FHC cells were randomly divided into control group(normal cultured),LPS group(10 μg·mL-1 LPS),experimental-L group(10 μg·mL-1 LPS+1 μmol·L-1 DF),experimental-H group(10 μg·mL-1 LPS+5 μmol·L-1 DF),experimental-H+sh-NC group(transfected with sh-NC+10 μg·mL-1 LPS+5 μmol·mL-1 DF),experimental-H+sh-SATB2 group(transfected with sh-SATB2+10 μg·mL-1 LPS+5μmol·L-1 DF).The relative expression level of SATB2 protein in FHC cells was detected by Western blotting.The survival rate of FHC cells in each group was determined by tetramethylazolium blue(MTT).The apoptosis rate of FHC cells in each group was detected by flow cytometry.The levels of malondialdehyde(MDA)and interleukin-6(IL-6)in FHC cells were detected by the kit.Results The relative expression levels of SATB2 protein in control group,LPS group,experimental-H group,experimental-H+sh-NC group and experimental-H+sh-SATB2 group were 0.83±0.09,0.19±0.03,0.66±0.05,0.62±0.07 and 0.23±0.03,respectively;cell viability rates were(100.00±1.00)%,(48.16±4.31)%,(85.31±5.83)%,(81.39±6.47)%and(58.75±5.24)%,respectively;cell apoptosis rates were(3.27±0.81)%,(41.26±2.09)%,(11.35±1.04)%,(10.29±1.26)%and(35.87±2.15)%,respectively;MDA levels were(13.16±1.73),(52.87±3.49),(23.19±2.05),(20.98±3.17)and(44.87±3.05)μmol·L-1,respectively;IL-6 levels were(507.18±103.26),(2 132.09±198.15),(883.16±136.92),(801.69±119.85)and(1 736.29±206.91)pg·mL-1,respectively.The above indicators in the LPS group showed significant differences compared to the control group(all P<0.05);the above indicators in the experimental-H group showed significant differences compared to the LPS group(all P<0.05);the above indicators in the experimental-H+sh-SATB2 group showed significant differences compared to the experimental-H+sh-NC group(all P<0.05).Conclusion DF has a protective effect on LPS-induced colon epithelial cell injury by intervening oxidative stress and inflammation through SATB2.
4.Efficacy and safety of recombinant human anti-SARS-CoV-2 monoclonal antibody injection(F61 injection)in the treatment of patients with COVID-19 combined with renal damage:a randomized controlled exploratory clinical study
Ding-Hua CHEN ; Chao-Fan LI ; Yue NIU ; Li ZHANG ; Yong WANG ; Zhe FENG ; Han-Yu ZHU ; Jian-Hui ZHOU ; Zhe-Yi DONG ; Shu-Wei DUAN ; Hong WANG ; Meng-Jie HUANG ; Yuan-Da WANG ; Shuo-Yuan CONG ; Sai PAN ; Jing ZHOU ; Xue-Feng SUN ; Guang-Yan CAI ; Ping LI ; Xiang-Mei CHEN
Chinese Journal of Infection Control 2024;23(3):257-264
Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P<0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P>0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P>0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.
5.Identification of potential pathogenic genes of intestinal metaplasia based on transcriptomic sequencing and bioinformatics analysis
Bei PEI ; Yi ZHANG ; Siyuan WEI ; Yu MEI ; Biao SONG ; Gang DONG ; Ziang WEN ; Xuejun LI
Journal of Southern Medical University 2024;44(5):941-949
Objective To explore the potential pathogenic genes of intestinal metaplasia.Methods Twenty-one patients with intestinal metaplasia admitted to the Department of Gastroenterology at the Second Affiliated Hospital of Anhui University of Chinese Medicine from January,2022 to June,2022,and 21 healthy subjects undergoing gastroscopic examination during the same period were enrolled in this study.All the participants underwent gastroscopy and pathological examination,and gastric tissue samples were collected for transcriptome sequencing to screen for differentially expressed genes(DEGs).The biological functions of the DEGs were analyzed using bioinformatics analysis,and qRT-PCR was used to validate the results.Results Transcriptomic sequencing identified a total of 1373 DEGs,including 827 upregulated and 546 downregulated ones.The top 6 upregulated genes(AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2),ranked based on their significance and average expression level,were selected for validation,and qRT-PCR showed significant upregulation of their mRNAs in the gastric tissues of patients with intestinal metaplasia(P<0.05).Conclusion AGMAT,CCL25,FABP1,CDX1,SPINK4,and MUC2 participate in the occurrence and development of intestinal metaplasia,and may serve as potential biomarkers for diagnosing intestinal metaplasia.
6.Exploration on mechanism of Shenghui Yizhi Decoction in improving learning and memory ability of SAMP8 mice based on NLRP3/ Caspase-1/ IL-1β signaling pathway
Peng WANG ; Yuanli DONG ; Weiliang SUN ; Yi JIN ; Rong MEI ; Baosheng ZHAO ; Qiubing LI
International Journal of Traditional Chinese Medicine 2024;46(5):594-599
Objective:To investigate the effects of Shenghui Yizhi Decoction on learning and memory ability of SAMP8 mice; To explore its mechanism.Methods:Totally 24 male SAMP8 mice were randomly divided into model group, donepezil hydrochloride group (1 mg/kg) and Shenghui Yizhi Decoction group (15.6 g/kg), with 8 mice in each group, and eight anti rapid aging mice (SAMR1) of the same age and strain were set as the control group. The mice in each group were given corresponding medication or the same volume of distilled water for 90 days. After administration, Morris water maze was used to detect the learning and memory ability and space exploration ability of mice. Immunohistochemistry was used to detect expression of β Amyloid protein 1-42 (Aβ 1-42) in hippocampal. ELISA was used to detect the levels of interleukin-1β (IL-1β), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). Real time PCR was used to detect expressions of NOD-like receptor thermal protein domain associated protein 3 (NLRP3), cysteine protease-1 (Caspase-1), and IL-1β mRNA. Western Blot was used to detect expression of NLRP3, Caspase-1and IL-1β protein. Results:Compared with model group, the spatial exploration ability and memory ability of mice in Shenghui Yizhi Decoction group and donepezil hydrochloride group were improved ( P<0.05, P<0.01), the expression of Aβ 1-42 in hippocampus decreased ( P<0.05, P<0.01), the contents of IL-1β, IL-6 and TNF-α decreased ( P<0.05, P<0.01), and the mRNA and protein expressions of NLRP3, Caspase-1 and IL-1β decreased ( P<0.05, P<0.01). Conclusion:Shenghui Yizhi Decoction can effectively improve the learning and memory ability of SAMP8 mice, and its mechanism may be related to inhibiting the activation of inflammasome and neuroinflammatory response by regulating the NLRP3/ Caspase-1/ IL-1β signaling pathway.
7.Dietary assessment of patients with chronic kidney disease
Hui HUANG ; Qian WANG ; Ya-Yong LUO ; Zheng-Chun TANG ; Fang LIU ; Rui-Min ZHANG ; Zhe-Yi DONG ; Xiang-Mei CHEN
Medical Journal of Chinese People's Liberation Army 2024;49(8):946-951
Chronic kidney disease(CKD)commonly used dietary assessments including 24-hour dietary recall(24 h DR)/3-day dietary recall(3DDR),food frequency questionnaire(FFQ),dietary records,and estimation of dietary protein intake based on nitrogen balance.Given the high prevalence of CKD patients in Asian population and the scarcity of research using FFQ method,it is crucial to develop an FFQ suitable for Chinese CKD patients.This review summarizes the advantages and disadvantages of dietary assessment methods for CKD,the current research status,and the content and steps involved in establishing an FFQ,with the aim of providing reference for the modification of FFQ for Chinese CKD patients.
8.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.
9.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.
10.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

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