1.Application and Value of Authentication Methods in the Study on Traditional Chinese Medicine Classics
Lufeng ZHENG ; Zheng GE ; Xiang LI ; Guangkun CHEN ; Fanglin HU ; Yanhong YANG ; Hongtao LI
Journal of Traditional Chinese Medicine 2026;67(4):349-354
This paper systematically reviewed the concept of authentication studies on traditional Chinese medicine (TCM) classics and the research achievements of scholars across historical and contemporary periods. We categorized the authentication studies on TCM classics into four types, including work-oriented authentication research, metho-dological studies on authentication, extended authentication research, and single-book authentication. Multiple methods were applied comprehensively, including investigating bibliographic documents of successive dynasties, analyzing the academic contents of medical books, studying the textual characteristics of medical books, examining the cited references in medical books, verifying the biographies of authors, and analyzing the interpolations and accretions in medical books, to distinguish the authenticity of TCM classics. The academic value of authenticity identification of TCM classics is concluded in three aspects,i.e. it serves as an important means to distinguish authenticity from falsehood in TCM classics, an important guarantee for inheriting the essence of TCM literature, and a key to unlocking the academic treasure trove of TCM classics and achieving inheritance-based innovation, which will lay a solid documentary foundation for constructing identification methodologies and standardized systems.
2.Arginine Metabolic Disorder in Heart Failure Rats: Analysis Based on Targeted Metabolomics and Bioinformatics
Zeyu LI ; Xiaoqing WANG ; Zhengyu FANG ; Yurou ZHAO ; He XIAO ; Penghaobang LIU ; Haiming ZHANG ; Chunyan LIU ; Yanhong HU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):229-237
ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure (HF), providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine (TCM). MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats, which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group, with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-TQ-S), and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging (AFADESI-MSI). Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus (GEO), a protein-protein interaction (PPI) network was constructed, and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) was performed. Finally, molecular docking was conducted to verify the binding between core metabolic components and key targets, and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group, the levels of arginine and citrulline in the serum of model rats were significantly decreased (P<0.01), while those of proline, ornithine, creatine, creatinine and glutamate were significantly increased (P<0.05, P<0.01). Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets, such as the angiotensin-converting enzyme (ACE), neuronal nitric oxide synthase (NOS1), 5-hydroxytryptamine receptor 2A (HTR2A), and epidermal growth factor receptor (EGFR), and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway, neuroactive ligand-receptor interactions, and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine, citrulline and HTR2A, as well as between creatine, creatinine and EGFR. Based on pathway-target prediction, potential TCM interventions, such as ginseng and magnolia, were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF, and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways, and offers valuable insights for targeted therapy of HF and the development of TCM.
3.Arginine Metabolic Disorder in Heart Failure Rats: Analysis Based on Targeted Metabolomics and Bioinformatics
Zeyu LI ; Xiaoqing WANG ; Zhengyu FANG ; Yurou ZHAO ; He XIAO ; Penghaobang LIU ; Haiming ZHANG ; Chunyan LIU ; Yanhong HU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):229-237
ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure (HF), providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine (TCM). MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats, which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group, with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-TQ-S), and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging (AFADESI-MSI). Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus (GEO), a protein-protein interaction (PPI) network was constructed, and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) was performed. Finally, molecular docking was conducted to verify the binding between core metabolic components and key targets, and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group, the levels of arginine and citrulline in the serum of model rats were significantly decreased (P<0.01), while those of proline, ornithine, creatine, creatinine and glutamate were significantly increased (P<0.05, P<0.01). Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets, such as the angiotensin-converting enzyme (ACE), neuronal nitric oxide synthase (NOS1), 5-hydroxytryptamine receptor 2A (HTR2A), and epidermal growth factor receptor (EGFR), and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway, neuroactive ligand-receptor interactions, and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine, citrulline and HTR2A, as well as between creatine, creatinine and EGFR. Based on pathway-target prediction, potential TCM interventions, such as ginseng and magnolia, were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF, and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways, and offers valuable insights for targeted therapy of HF and the development of TCM.
4.Cancer-Associated Fibroblasts Interact with Schwann Cells for Tumor Perineural Invasion by Oral Squamous Cell Carcinoma.
Xinwen ZHANG ; Yijia HE ; Shixin XIE ; Yuxian SONG ; Xiaofeng HUANG ; Qingang HU ; Yanhong NI ; Yi WANG ; Yong FU ; Liang DING
Neuroscience Bulletin 2025;41(6):1003-1020
Perineural invasion (PNI) by tumor cells is a key phenotype of highly-invasive oral squamous cell carcinoma (OSCC). Since Schwann cells (SCs) and fibroblasts maintain the physiological homeostasis of the peripheral nervous system, and we have focused on cancer-associated fibroblasts (CAFs) for decades, it's imperative to elucidate the impact of CAFs on SCs in PNI+ OSCCs. We describe a disease progression-driven shift of PNI- towards PNI+ during the progression of early-stage OSCC (31%, n = 125) to late-stage OSCC (53%, n = 97), characterized by abundant CAFs and nerve demyelination. CAFs inhibited SC proliferation/migration and reduced neurotrophic factors and myelin in vitro, and this involved up-regulated ER stress and decreased MAPK signals. Moreover, CAFs also aggravated the paralysis of the hind limb and PNI in vivo. Unexpectedly, leukemia inhibitory factor (LIF) was exclusively expressed on CAFs and up-regulated in metastatic OSCC. The LIF inhibitor EC330 restored CAF-induced SC inactivation. Thus, OSCC-derived CAFs inactivate SCs to aggravate nerve injury and PNI development.
Schwann Cells/metabolism*
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Mouth Neoplasms/metabolism*
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Humans
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Cancer-Associated Fibroblasts/metabolism*
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Animals
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Carcinoma, Squamous Cell/metabolism*
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Neoplasm Invasiveness/pathology*
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Male
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Female
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Mice
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Cell Movement/physiology*
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Cell Proliferation/physiology*
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Cell Line, Tumor
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Leukemia Inhibitory Factor/metabolism*
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Middle Aged
5.Expression of epitopes of spike protein of porcine epidemic diarrhea virus and screening of its nanobody
Xiangyun HU ; Shaomei CHEN ; Zeyi XUAN ; Menghe LUO ; Rui PAN ; Kai YANG ; Yulian XI ; Yanhong CAO
Chinese Journal of Veterinary Science 2025;45(5):913-918
This study aims to prepare nanobodies for the epitopes of spike protein(S)of porcine ep-idemic diarrhea virus(PEDV),and verify its reactivity.The expression vector pCZN1-SN was con-structed by the prokaryotic expression system,and SN fragment was expressed in prokaryotic ex-pression and purified by Ni-NTA chromatography column.The SN nanobodies were displayed u-sing phage display technology and screened from the natural nanobody library.The results showed that SN fragments with a size of 26 kDa were obtained by prokaryotic induction,and the specific nanobodies were obtained through three rounds screening by phage display technology.One strain with the best reactivity was selected for prokaryotic expression and purified.The nanobodies were obtained with a size of 14 kDa by Western blot and demonstrated to have a good binding ability to PEDV SN protein.In summary,nanobodies with epitope fragments of PEDV S protein were suc-cessfully screened and prepared based on the phage display technology,which provided a new way for the in-depth application of nanobodies.
6.Study on the Mechanism of Buyang Huanwu Decoction in Preventing and Treating Atherosclerosis Based on Network Pharmacology,Molecular Docking and Animal Experiment
Jingxuan HU ; Yanhong LIU ; Jinhao ZHOU ; Ye YUAN ; Zengguang FAN
Chinese Journal of Information on Traditional Chinese Medicine 2025;32(2):30-38
Objective To explore the targets and mechanism of Buyang Huanwu Decoction in preventing and treating atherosclerosis through network pharmacology,molecular docking and animal experiment.Methods The main active components and related targets of Buyang Huanwu Decoction were obtained and screened through databases such as TCMSP,HERB,UniProt,PubChem,SwissADME and SwissTargetPrediction.Six disease databases such as DrugBank,GeneCards,DisGeNET,OMIM,PharmGKB and TTD were used to obtain AS related targets.R language was used to obtain common targets for the drug and disease.STRING 11.5 database was used for protein interaction network analysis,and Cytoscape 3.9.1 software was used to conduct network topology parameters and obtain core targets.GO and KEGG enrichment analysis were performed on the common targets using DAVID platform.Molecular docking of core genes with the main active components of Buyang Huanwu Decoction was conducted using AutoDock Vina 1.5.6 software.An AS mouse model was established and intervened with Buyang Huanwu Decoction.The lipid content of the mouse aortic sinus was observed using Oil Red O staining.Western blot was used to detect the expression of PI3K/AKT/p38 signaling pathway,and ELISA was used to detect the contents of TNF-α and IL-17 in mouse serum.Results A total of 104 main active components and 283 action targets of Buyang Huanwu Decoction were obtained,as well as 5 347 AS related targets and 218 common targets for drugs and disease.Buyang Huanwu Decoction may use key active components such as quercetin,kaempferol and baicalin as core targets for TP53,MAPK1,AKT1,and exert its therapeutic effect on AS through PI3K-Akt signaling pathway,TNF signaling pathway and IL-17 signaling pathway,etc.Molecular docking indicated that quercetin,luteolin,kaempferol and baicalin had good affinity with TP53,HSP90AA1,MAPK1,AKT1 and RELA targets.MAPK1 had strong binding activity with baicalin and luteolin.The experimental results showed that Buyang Huanwu Decoction could reduce the lipid content in aortic sinus of AS mice,reduce the contents of TNF-α and IL-17 in serum(P<0.01)and significantly down-regulate the expression levels of PI3K,p-AKT and p-p38 proteins(P<0.05,P<0.01).Conclusion The mechanism of Buyang Huanwu Decoction for preventing and treating AS may be related to regulating the expression of the PI3K/AKT/p38 signaling pathway,thereby reducing inflammatory response.
7.Dynamics of eosinophil infiltration and microglia activation in brain tissues of mice infected with Angiostrongylus cantonensis
Fanna WEI ; Renjie ZHANG ; Yahong HU ; Xiaoyu QIN ; Yunhai GUO ; Xiaojin MO ; Yan LU ; Jiahui SUN ; Yan ZHOU ; Jiatian GUO ; Peng SONG ; Yanhong CHU ; Bin XU ; Ting ZHANG ; Yuchun CAI ; Muxin CHEN
Chinese Journal of Schistosomiasis Control 2025;37(2):163-175
Objective To investigate the changes in eosinophil counts and the activation of microglial cells in the brain tissues of mice at different stages of Angiostrongylus cantonensis infection, and to examine the role of microglia in regulating the progression of angiostrongyliasis and unravel the possible molecular mechanisms. Methods Fifty BALB/c mice were randomly divided into the control group and the 7-d, 14-d, 21-day and 25-d infection groups, of 10 mice in each group. All mice in infection groups were infected with 30 stage III A. cantonensis larvae by gavage, and animals in the control group was given an equal amount of physiological saline. Five mice were collected from each of infection groups on days 7, 14, 21 d and 25 d post-infection, and 5 mice were collected from the control group on the day of oral gavage. The general and focal functional impairment was scored using the Clark scoring method to assess the degree of mouse neurological impairment. Five mice from each of infection groups were sacrificed on days 7, 14, 21 d and 25 d post-infection, and 5 mice from the control group were sacrificed on the day of oral gavage. Mouse brain tissues were sampled, and the pathological changes of brain tissues were dynamically observed using hematoxylin and eosin (HE) staining. Immunofluorescence staining with eosinophilic cationic protein (ECP) and ionized calcium binding adaptor molecule 1 (Iba1) was used to assess the degree of eosinophil infiltration and the counts of microglial cells in mouse brain tissues in each group, and the morphological parameters of microglial cells (skeleton analysis and fractal analysis) were quantified by using Image J software to determine the morphological changes of microglial cells. In addition, the expression of M1 microglia markers Fcγ receptor III (Fcgr3), Fcγ receptor IIb (Fcgr2b) and CD86 antigen (Cd86), M2 microglia markers Arginase 1 (Arg1), macrophage mannose receptor C-type 1 (Mrc1), chitinase-like 3 (Chil3), and phagocytosis genes myeloid cell triggering receptor expressed on myeloid cells 2 (Trem2), CD68 antigen (Cd68), and apolipoprotein E (Apoe) was quantified using real-time quantitative reverse transcription PCR (RT-qPCR) assay in the mouse cerebral cortex of mice post-infection. Results A large number of A. cantonensis larvae were seen on the mouse meninges surface post-infection, and many neuronal nuclei were crumpled and deeply stained, with a large number of bleeding points in the meninges. The median Clark scores of mouse general functional impairment were 0 (interquartile range, 0), 0 (interquartile range, 0.5), 6 (interquartile range, 1.0), 14 (interquartile range, 8.5) points and 20 (interquartile range, 9.0) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.45, P < 0.01), and the median Clark scores of mouse focal functional impairment were 0 (interquartile range, 0), 2 (interquartile range, 2.5), 7 (interquartile range, 3.0), 18 (interquartile range, 5.0) points and 25 (interquartile range, 6.5) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.72, P < 0.01). The mean scores of mice general and focal functional impairment were all higher in the infection groups than in the control group (all P values < 0.05). Immunofluorescence staining showed a significant difference in the eosinophil counts in mouse brain tissues among the five groups (F = 40.05, P < 0.000 1), and the eosinophil counts were significantly higher in mouse brain tissues in the 14-d (3.08 ± 0.78) and 21-d infection groups (5.97 ± 1.37) than in the control group (1.00 ± 0.28) (both P values < 0.05). Semi-quantitative analysis of microglia immunofluorescence showed a significant difference in the counts of microglial cells among the five groups (F = 17.66, P < 0.000 1), and higher Iba1 levels were detected in mouse brain tissues in 14-d (5.75 ± 1.28), 21-d (6.23 ± 1.89) and 25-d infection groups (3.70 ± 1.30) than in the control group (1.00 ± 0.30) (all P values < 0.05). Skeleton and fractal analyses showed that the branch length [(162.04 ± 34.10) μm vs. (395.37 ± 64.11) μm; t = 5.566, P < 0.05] and fractal dimension of microglial cells (1.30 ± 0.01 vs. 1.41 ± 0.03; t = 5.266, P < 0.05) were reduced in mouse brain tissues in the 21-d infection group relative to the control group. In addition, there were significant differences among the 5 groups in terms of M1 and M2 microglia markers Fcgr3 (F = 48.34, P < 0.05), Fcgr2b (F = 55.46, P < 0.05), Cd86 (F = 24.44, P < 0.05), Arg1 (F = 31.18, P < 0.05), Mrc1 (F = 15.42, P < 0.05) and Chil3 (F = 24.41, P < 0.05), as well as phagocytosis markers Trem2 (F = 21.19, P < 0.05), Cd68 (F = 43.95, P < 0.05) and Apoe (F = 7.12, P < 0.05) in mice brain tissues. Conclusions A. cantonensis infections may induce severe pathological injuries in mouse brain tissues that are characterized by massive eosinophil infiltration and persistent activation of microglia cells, thereby resulting in progressive deterioration of neurological functions.
8.Current status of human immunodeficiency virus testing and residual risk in 17 provincial blood centers in China from 2015 to 2024
Siqi WU ; Ying LIU ; Shuo ZHANG ; Yujun LI ; Binbin ZOU ; Lin WANG ; Fei TANG ; Weiping FENG ; Yanhong WAN ; Yanyan LIU ; Ying LI ; Chen XIAO ; Tao WEN ; Hanshi GONG ; Shan FU ; Wenjia HU ; Yan QIU
Chinese Journal of Infectious Diseases 2025;43(10):590-598
Objective:To analyze the human immunodeficiency virus (HIV) screening status and the resulting residual risk (RR) among blood donors across 17 provincial blood centers in China.Methods:This study used a cross-sectional study. Data on HIV infection markers per 100 000 first-time donors (FD) and repeat donors (RD) from January 2015 to December 2024 were extracted from the National Blood Establishment Performance Comparison Information Management System. Questionnaires were used to collect each center′s HIV screening strategy, algorithm, serological test (ST) kit manufacturers, gray-zone setting for ST, and nucleic acid test (NAT) modality, method, and platform. The incidence-window-period model was used to calculate the residual risk for first-time donors (RR FD), repeat donors (RR RD), and total donors (RR TD) at each center. Horizontal and vertical analysis of RR FD, RR RD, and RR TD across centers and years were performed. Results:All 17 centers applied the same HIV screening strategy which was two rounds of ST followed by one round of NAT. Eight of them operated a single screening algorithm, six employed two algorithms and three used three. Eleven centers used both imported and domestic ST kits, five relied on domestic ST kits only, and one used imported ST kits only, while four centers never set a grey zone for ST throughout the decade. For NAT modalities, eight centers adopted both individual nucleic acid test (ID-NAT) and minipool nucleic acid test (MP-NAT), eight used MP-NAT only and one used ID-NAT only. Seven centers combined transcription mediated amplification (TMA) and polymerase chain reaction (PCR), nine used PCR only and one used TMA only, and fourteen centers ran both imported and domestic NAT systems, two used imported systems only and one used a domestic system only. Over the ten-year period, the mean RR FD across the centers ranged from 2.22 to 12.33 per 10 6 person-years, RR RD from 0.83 to 3.29 per 10 6 person-years and RR TD from 1.59 to 9.29 per 10 6 person-years, with center Z4 consistently showing the lowest values for all three metrics and center U4 recording the highest RR FD and RR TD, while center D2 had the highest RR RD. In 2024 compared with 2015, eleven centers achieved a lower RR FD and ten centers achieved lower RR RD and RR TD. The RR FD and RR TD of centers W2 and U4 displayed pronounced fluctuations and an upward trend in recent years. Conclusions:The 17 provincial blood centers maintain consistent HIV screening strategies, while demonstrating variations in screening algorithm, ST kit manufacturers, NAT modalities, methods, and platform. And the RR FD, RR RD, and RR TD differ across centers. Although most centers show declining trend in RR over the ten-year period, some centers exhibite data fluctuations with a rising trend, suggesting potential for further optimization of HIV screening protocols.
9.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
10.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.

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