1.Identification of blood-entering components of Anshen Dropping Pills based on UPLC-Q-TOF-MS/MS combined with network pharmacology and evaluation of their anti-insomnia effects and mechanisms.
Xia-Xia REN ; Jin-Na YANG ; Xue-Jun LUO ; Hui-Ping LI ; Miao QIAO ; Wen-Jia WANG ; Yi HE ; Shui-Ping ZHOU ; Yun-Hui HU ; Rui-Ming LI
China Journal of Chinese Materia Medica 2025;50(7):1928-1937
This study identified blood-entering components of Anshen Dropping Pills and explored their anti-insomnia effects and mechanisms. The main blood-entering components of Anshen Dropping Pills were detected and identified by UPLC-Q-TOF-MS/MS. The rationality of the formula was assessed by using enrichment analysis based on the relationship between drugs and symptoms, and core targets of its active components were selected as the the potential anti-insomnia targets of Anshen Dropping Pills through network pharmacology analysis. Furthermore, protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed on the core targets. An active component-core target network for Anshen Dropping Pills was constructed. Finally, the effects of low-, medium-, and high-dose groups of Anshen Dropping Pills on sleep episodes, sleep duration, and sleep latency in mice were measured by supraliminal and subliminal pentobarbital sodium experiments. Moreover, total scores of the Pittsburgh sleep quality index(PSQI) scale was used to evaluate the changes before and after the treatment with Anshen Dropping Pills in a clinical study. The enrichment analysis based on the relationship between drugs and symptoms verified the rationality of the Anshen Dropping Pills formula, and nine blood-entering components of Anshen Dropping Pills were identified by UPLC-Q-TOF-MS/MS. The network proximity revealed a significant correlation between eight components and insomnia, including magnoflorine, liquiritin, spinosin, quercitrin, jujuboside A, ginsenoside Rb_3, glycyrrhizic acid, and glycyrrhetinic acid. Network pharmacology analysis indicated that the major anti-insomnia pathways of Anshen Dropping Pills involved substance and energy metabolism, neuroprotection, immune system regulation, and endocrine regulation. Seven core genes related to insomnia were identified: APOE, ALB, BDNF, PPARG, INS, TP53, and TNF. In summary, Anshen Dropping Pills could increase sleep episodes, prolong sleep duration, and reduce sleep latency in mice. Clinical study results demonstrated that Anshen Dropping Pills could decrease total scores of PSQI scale. This study reveals the pharmacodynamic basis and potential multi-component, multi-target, and multi-pathway effects of Anshen Dropping Pills, suggesting that its anti-insomnia mechanisms may be associated with the regulation of insomnia-related signaling pathways. These findings offer a theoretical foundation for the clinical application of Anshen Dropping Pills.
Animals
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Drugs, Chinese Herbal/administration & dosage*
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Tandem Mass Spectrometry/methods*
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Sleep Initiation and Maintenance Disorders/metabolism*
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Mice
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Network Pharmacology
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Male
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Chromatography, High Pressure Liquid
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Humans
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Protein Interaction Maps/drug effects*
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Sleep/drug effects*
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Female
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Adult
2.Advantages of Chinese Medicines for Diabetic Retinopathy and Mechanisms: Focused on Inflammation and Oxidative Stress.
Li-Shuo DONG ; Chong-Xiang XUE ; Jia-Qi GAO ; Yue HU ; Ze-Zheng KANG ; A-Ru SUN ; Jia-Rui LI ; Xiao-Lin TONG ; Xiu-Ge WANG ; Xiu-Yang LI
Chinese journal of integrative medicine 2025;31(11):1046-1055
3.Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support.
Dengying YAN ; Qiguang ZHENG ; Kai CHANG ; Rui HUA ; Yiming LIU ; Jingyan XUE ; Zixin SHU ; Yunhui HU ; Pengcheng YANG ; Yu WEI ; Jidong LANG ; Haibin YU ; Xiaodong LI ; Runshun ZHANG ; Wenjia WANG ; Baoyan LIU ; Xuezhong ZHOU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1310-1328
Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods*
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Artificial Intelligence
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Humans
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Precision Medicine
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Decision Support Systems, Clinical
4.Identifying High-Risk Areas for Type 2 Diabetes Mellitus Mortality in Guangdong, China: Spatiotemporal Clustering and Socioenvironmental Determinants.
Hai Ming LUO ; Wen Biao HU ; Yan Jun XU ; Xue Yan ZHENG ; Qun HE ; Lu LYU ; Rui Lin MENG ; Xiao Jun XU ; Fei ZOU
Biomedical and Environmental Sciences 2025;38(5):585-597
OBJECTIVE:
This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies.
METHODS:
Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model.
RESULTS:
A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide.
CONCLUSION
High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology*
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China/epidemiology*
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Humans
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Risk Factors
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Spatio-Temporal Analysis
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Air Pollutants/analysis*
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Socioeconomic Factors
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Bayes Theorem
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Female
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Male
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Middle Aged
5.The mechanism of PTGES3/HSP90 in the medial prefrontal cortex regulating obesity-related cognitive impairment
Jinyan Wang ; Jia Hu ; Rui Hu ; Chunxia Huang ; Qi Xue
Acta Universitatis Medicinalis Anhui 2025;60(4):596-603
Objective :
To investigate the mechanism of prostaglandin E synthase 3(PTGES3)/heat shock protein 90(HSP90) in the medial prefrontal cortex regulating obesity-related cognitive dysfunction.
Methods:
This study consisted of clinical trials and animal experiments. In part one, obese patients scheduled for bariatric surgery, and healthy adults matching gender and age were recruited at the same time to reach 10 cases in each group. The cognitive level was assessed with trail making test part A(TMT-A) and victoria stroop tests(VST). Four-dimensional data-independent acquisition(4D-DIA) was used to screen the proteome changes in peripheral blood. In part two, forty SPF healthy male C57BL/6J mice were randomly divided into four groups: normal diet group(ND group), high fat diet induced obesity group(DIO group), DIO supplemented with the control virus group(DIO+Scramble group) and DIO supplemented with the interfering virus group(DIO+shPTGES3 group). The Morris water maze test was conducted to evaluate the cognitive behavior changes of the four groups of mice. The immunofluorescence staining was performed to detect the expression of PTGES3 and HSP90 in the medial prefrontal cortex and the activation of ionized calcium binding adapter molecule 1(IBA1)-labeled microglia.
Results:
In the case-control study, the cognitive function of obese patients significantly decreased, and the expression of PTGES3 in peripheral blood significantly increased, while the level of PTGES3 was negatively correlated with cognitive function. In animal experiments, compared with ND group, DIO group had significantly prolonged time reaching the target platform, otherwise, the residence time in the target quadrant was shortened in the Morris water maze test. Simultaneously, there were significant increase in the expression of PTGES3 and HSP90, and the activation of IBA1 in the medial prefrontal cortex. Compared with DIO+Scramble group, mice in the DIO+shPTGES3 group spent less time reaching the target platform, and stayed longer in the target quadrant. The expression and co-localization levels of PTGES3 and HSP90 in medial prefrontal cortex significantly decreased. The activation level of microglia cells was also attenuated by PTGES3 interference.
Conclusion
Obesity-related cognitive dysfunction may be attributed to PTGES3/HSP90 in the medial prefrontal cortex by mediating neural inflammation.
6.Baihe Wuyaotang Ameliorates NAFLD by Enhancing mTOR-mediated Liver Autophagy
Rui WANG ; Tiantian BAN ; Lihui XUE ; Xinyi FENG ; Jiyuan GUO ; Jiaqi LI ; Shenghe JIANG ; Xiaolei HAN ; Baofeng HU ; Wenli ZHANG ; Naijun WU ; Shuang LI ; Yajuan QI
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(7):66-77
ObjectiveTo investigate the therapeutic effect of Baihe Wuyaotang (BWT) on non-alcoholic fatty liver disease (NAFLD) and elucidate its underlying mechanism. MethodC57BL/6J mice were randomly assigned to six groups: normal control, model, positive drug (pioglitazone hydrochloride 1.95×10-3 g·kg-1), and low-, medium-, and high-dose BWT (1.3,2.5 and 5.1 g·kg-1). Following a 12-week high-fat diet (HFD) inducement, the mice underwent six weeks of therapeutic intervention with twice-daily drug administration. Body weight was monitored weekly throughout the treatment period. At the fifth week, glucose tolerance (GTT) and insulin tolerance (ITT) tests were conducted. Subsequently, the mice were euthanized for the collection of liver tissue and serum, and the subcutaneous adipose tissue (iWAT) and epididymal adipose tissue (eWAT) were weighed. Serum levels of total triglycerides (TG) and liver function indicators,such as alanine aminotransferase (ALT) and aspartate aminotransferase (AST), were determined. Histological examinations, including oil red O staining, hematoxylin-eosin (HE) staining, Masson staining, and transmission electron microscopy, were performed to evaluate hepatic lipid deposition, pathological morphology, and ultrastructural changes, respectively. Meanwhile, Western blot and real-time quantitative polymerase chain reaction (Real-time PCR) were employed to analyze alterations, at both gene and protein levels, the insulin signaling pathway molecules, including insulin receptor substrate 1/2/protein kinase B/forkhead box gene O1 (IRS1/2/Akt/FoxO1), glycogen synthesis enzymes phosphoenolpyruvate carboxy kinase (Pepck) and glucose-6-phosphatase (G6Pase), lipid metabolism-related genes stearoyl-coA desaturase-1 (SCD-1) and carnitine palmitoyltransferase-1 (CPT-1), fibrosis-associated molecules α-smooth muscle actin (α-SMA), type Ⅰ collagen (CollagenⅠ), and the fibrosis canonical signaling pathway transforming growth factor-β1/drosophila mothers against decapentaplegic protein2/3(TGF-β1/p-Smad/Smad2/3), inflammatory factors such as interleukin(IL)-6, IL-8, IL-11, and IL-1β, autophagy markers LC3B Ⅱ/Ⅰ and p62/SQSTM1, and the expression of mammalian target of rapamycin (mTOR). ResultCompared with the model group, BWT reduced the body weight and liver weight of NAFLD mice(P<0.05, P<0.01), inhibited liver lipid accumulation, and reduced the weight of white fat: it reduced the weight of eWAT and iWAT(P<0.05, P<0.01) as well as the serum TG content(P<0.05, P<0.01). BWT improved the liver function as reflected by the reduced ALT and AST content(P<0.05, P<0.01). It improved liver insulin resistance by upregulating IRS2, p-Akt/Akt, p-FoxO1/FoxO1 expressions(P<0.05). Besides, it improved glucose and lipid metabolism disorders: it reduced fasting blood glucose and postprandial blood glucose(P<0.05, P<0.01), improved GTT and ITT(P<0.05, P<0.01), reduced the expression of Pepck, G6Pase, and SCD-1(P<0.01), and increased the expression of CPT-1(P<0.01). The expressions of α-SMA, Collagen1, and TGF-β1 proteins were down-regulated(P<0.05, P<0.01), while the expression of p-Smad/Smad2/3 was downregulated(P<0.05), suggesting BWT reduced liver fibrosis. BWT inhibited inflammation-related factors as it reduced the gene expression of IL-6, IL-8, IL-11 and IL-1β(P<0.01) and it enhanced autophagy by upregulating LC3B Ⅱ/Ⅰ expression(P<0.05)while downregulating the expression of p62/SQSTM1 and mTOR(P<0.05). ConclusionBWT ameliorates NAFLD by multifaceted improvements, including improving IR and glucose and lipid metabolism, anti-inflammation, anti-fibrosis, and enhancing autophagy. In particular, BWT may enhance liver autophagy by inhibiting the mTOR-mediated signaling pathway.
7.Rat cardiac fibroblasts inhibit gap junction between cardiomyocytes through increasing matrix metalloproteinase 2 activity
Xue BAI ; Hong GAO ; Xiang HUANG ; Xu YAN ; Tingju HU ; Rui CHEN ; Li AN ; Yuting SONG
Chinese Journal of Pathophysiology 2024;40(3):465-472
AIM:To investigate the effect of conditioned medium from hypoxia/reoxygenation(H/R)-treated rat cardiac fibroblasts(CFs)on gap junction between cardiomyocytes and determine whether its mechanism is related to matrix metalloproteinase 2(MMP2)activity.METHODS:(1)H9c2 cells were randomly divided into five groups:con-trol group,normal group,ARP-100 group,H/R group,and H/R+ARP-100 group.Scrape loading/dye transfer assay was used to assess the gap junction function.Western blot was used to detect the expression and phosphorylation levels of Cx43.Gelatin zymography assay was performed to measure MMP2 activity.(2)SD rats were randomly divided into control group,ARP-100 group,ischemia-reperfusion(I/R)group,and I/R+ARP-100 group,with 8 rats in each group.Micro-electrode array technology was used to record the type and duration of arrhythmia.Immunohistochemistry experiment was performed to assess expression levels and distribution of Cx43 in myocardial tissues.RESULTS:Compared with the con-trol group,the H/R group showed decreased protein expression of Cx43(P<0.01),narrowed distance of lucifer yellow dif-fusion(P<0.01),and increased MMP2 activity(P<0.01).ARP-100 attenuated H/R-induced gap junction dysfunction(P<0.05).The arrhythmia score was also reduced after perfusion with ARP-100(P<0.01).CONCLUSION:H/R-treated rat CFs can inhibit gap junction between cardiomyocytes,and its mechanism may involve increased MMP2 activity.
8.Long non-coding RNA AW112010 improves insulin resistance in adipocytes of aging mice through the miR-204/POU2F2 axis
Rui WANG ; Shuwen WANG ; Yifan ZHANG ; Yaqi HU ; Qi YUAN ; Yuan WEN ; Xiaoling CHEN ; Ting LU ; Ying ZHENG ; Zhiyong LIN ; Mengzhen XUE ; Yaqi WANG ; Fangqi XIA ; Leiqi ZHU ; Chengfu YUAN
Chinese Journal of Endocrinology and Metabolism 2024;40(1):44-52
Objective:To investigate whether long non-coding RNA(lncRNA) AW112010 can improve insulin resistance in aging adipocytes through the miR-204/POU2F2 signaling pathway.Methods:In vivo experiment: C57BL/6 mice were divided into young control group(4 months old) and aging model group(18 months old) based on body weight. The expression levels of AW112010, miR-204-5p, POU2F2, aging related indicators(p16, p21), and insulin signaling pathway genes [insulin receptor(INSR), insulin receptor substrate 1(IRS1), phosphatidylinositol kinase(PI3K), protein kinase B(AKT)] in epididymal adipose tissue were detected using real-time fluorescence quantitative PCR(RT-qPCR) and Western blotting. In vitro experiment: Using adriamycin(ADR) to induce 3T3-L1 aging adipocyte model, β-gal staining was used to observe cellular senescence, and miR-204 inhibitor and miR-204 mimic small interfering RNA were successfully constructed and transfected into 3T3-L1 adipocytes. Results:RT-qPCR and Western blot results showed that compared with the young group, the expression of AW112010 in the adipose tissue of aging mice was increased, while the expression of miR-204-5p was decreased. The expressions of POU2F2, p16, and p21 in the adipose tissue of aging mice were increased, while the expressions of INSR, IRS1, PI3K, GLUT4 mRNA and protein were decreased. The β-gal stainging results showed that the number of 3T3-L1 senescent adipocytes induced by ADR was significantly increased, and the expression levels of AW112010, POU2F2, p16, and p21 in ADR-induced senescent adipocytes were increased compared with the control group, while the expression levels of miR-204-5p, INSR, IRS1, PI3K, GLUT4 were decreased, and remaining glucose in the culture medium was increased. Compared with control, overexpression of miR-204 resulted in decreased expressions of aging indicators p16, p21, and target gene POU2F2 while the expressions of INSR and GLUT4 were increased.Conclusion:Upregulation of lncRNA AW112010 in adipocytes of aging mice may induce insulin resistance by targeting miR-204-5p/POU2F2/IRS1.
9.Effect and Mechanism of Total Saponins from Panax Japonicus on White Adipose Tissue Browning/Brown Adipose Tissue Activation in High-fat Diet-induced Mice
Shuwen WANG ; Yaqi HU ; Rui WANG ; Yifan ZHANG ; Mengzhen XUE ; Yaqi WANG ; Fangqi XIA ; Leiqi ZHU ; Chengfu YUAN
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(2):71-78
ObjectiveTo investigate the effect and mechanism of total saponins from Panax japonicus (TSPJ) on white adipose tissue (WAT) browning/brown adipose tissue (BAT) activation in C57BL6/J male mice fed on a high-fat diet (HFD). MethodThirty-two C57BL6/J male mice (8-week-old) were randomly divided into a normal group, a model group, a low-dose TSPJ group, and a high-dose TSPJ group. The mice in the low-dose and high-dose TSPJ groups were given TSPJ for four months by gavage at 25, 75 mg·kg-1·d-1, respectively, and those in the other groups were given 0.5% sodium carboxymethyl cellulose (CMC-Na) accordingly. After four months of feeding, all mice were placed at 4 ℃ for acute cold exposure, and the core body temperature was monitored. Subsequently, all mice were sacrificed, and BAT and inguinal WAT (iWAT) were separated rapidly to detect the corresponding indexes. Hematoxylin-eosin (HE) staining was used to observe the morphological changes in each group. The effect of TSPJ on the mRNA expression of uncoupling protein 1 (UCP1), fatty acid-binding protein 4 (FABP4), cytochrome C (CytC), PR domain-containing protein 16 (PRDM16), elongation of very long chain fatty acids protein 3 (ELOVL3), peroxisome proliferator-activated receptor γ (PPARγ), and peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) in iWAT and BAT was detected by Real-time polymerase chain reaction (Real-time PCR). Western blot was also used to detect the protein expression of UCP1, PRDM16, PPARγ, and PGC-1α in BAT and iWAT of each group. The effect of TSPJ on UCP1 expression in BAT and iWAT was detected by immunohistochemistry. Result① Compared with the model group, TSPJ could decrease the body weight and proportions of iWAT and BAT in the HFD-induced mice (P<0.05, P<0.01). ② The body temperature of mice in the model group decreased compared with that in the normal group in the acute cold exposure tolerance test (P<0.05). The body temperature in the high-dose TSPJ group increased compared with that in the model group (P<0.01). ③ Compared with the normal group, the model group showed increased adipocyte diameter in iWAT and BAT and decreased number of adipocytes per unit area. Compared with the model group, the TSPJ groups showed significantly reduced cell diameter and increased number of cells per unit area, especially in the high-dose TSPJ group. ④ Compared with the normal group, the model group showed decreased mRNA expression of FABP4, UCP1, CytC, PRDM16, ELOVL3, PGC-1α, and PPARγ in adipose tissues of mice (P<0.05, P<0.01). Compared with the model group, after intervention with TSPJ, the mRNA expression was significantly up-regulated (P<0.05, P<0.01). ⑤ Compared with the normal group, the model group showed decreased protein expression of UCP1, PRDM16, PPARγ, and PGC-1α in adipose tissues of mice (P<0.05, P<0.01). Compared with the model group, after intervention with TSPJ, the protein expression increased significantly (P<0.05, P<0.01). ConclusionTSPJ could induce the browning of iWAT/BAT activation and enhance adaptive thermogenesis in obese mice induced by HFD. The underlying mechanism may be attributed to the activation of the PPARγ/PGC-1α signaling pathway.
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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