1.Treatment of Liver Cancer by Intervening TGF-β Signaling Pathway with Traditional Chinese Medicine: A Review
Hao CHENG ; Haohao GUO ; Jun SUN ; Juan XUE ; Chunyan JI ; Shiyi LI ; Yuxue DING ; Huaqiang YUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):318-326
Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β (TGF-β) regulates cell differentiation, proliferation, apoptosis, and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years, with the continuous exploration of the mechanism of liver cancer, it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine (TCM) provides a unique perspective for the classification, diagnosis, and treatment of liver cancer with its comprehensive regulatory effects of multi-components, multi-targets, and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest, apoptosis, autophagy, et al, while the pro-cancerous mechanisms included promoting cancer cell proliferation, invasion and metastasis, immunosuppression, angiogenesis, et al. The TCM compounds intervening this pathway were sorted out, including Jianpi Huayu compound, Fuyang Baoyuan compound, Yipi Yanggan compound, Fuzheng Jiedu compound, compound Astragalus and Salvia, Biejia Jianwan, Dahuang Zhechong pill, and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea, Dendrobii Caulis, Gleditsia sinensis, and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids, alkaloids, glycosides, phenolics, terpenoids, polysaccharides, and other kinds of compounds. At the same time, it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells, blocking the cell cycle, and inhibiting liver cancer cell proliferation, migration, invasion, angiogenesis, immune escape, etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal, thereby exerting positive anti-tumor effects, opening up a new direction for the precise targeted treatment of liver cancer, and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.
2.Treatment of Liver Cancer by Intervening TGF-β Signaling Pathway with Traditional Chinese Medicine: A Review
Hao CHENG ; Haohao GUO ; Jun SUN ; Juan XUE ; Chunyan JI ; Shiyi LI ; Yuxue DING ; Huaqiang YUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):318-326
Liver cancer is one of the most common malignant tumors in the digestive system and ranks sixth among newly diagnosed malignant tumors worldwide. Transforming growth factor-β (TGF-β) regulates cell differentiation, proliferation, apoptosis, and other physiological and pathological mechanisms and exerts cancer-suppressive and pro-cancerous dual effects in the process of tumor development. In recent years, with the continuous exploration of the mechanism of liver cancer, it has been found that the conversion of the cancer-suppressive effect into a pro-cancerous effect of this pathway plays a key role in the development of liver cancer. Traditional Chinese medicine (TCM) provides a unique perspective for the classification, diagnosis, and treatment of liver cancer with its comprehensive regulatory effects of multi-components, multi-targets, and multi-pathways. This paper summarized that the cancer-suppressive mechanisms of the TGF-β signaling pathway included promoting cancer cell cycle arrest, apoptosis, autophagy, et al, while the pro-cancerous mechanisms included promoting cancer cell proliferation, invasion and metastasis, immunosuppression, angiogenesis, et al. The TCM compounds intervening this pathway were sorted out, including Jianpi Huayu compound, Fuyang Baoyuan compound, Yipi Yanggan compound, Fuzheng Jiedu compound, compound Astragalus and Salvia, Biejia Jianwan, Dahuang Zhechong pill, and Qingxiang powder. The single TCMs mainly included Schizocapsa plantaginea, Dendrobii Caulis, Gleditsia sinensis, and Dracaena cochinchinensis. The active ingredients of TCM are mainly concentrated on flavonoids, alkaloids, glycosides, phenolics, terpenoids, polysaccharides, and other kinds of compounds. At the same time, it summarized that the liver cancer inhibition mechanism of TCM by regulating this pathway mainly included promoting apoptosis of liver cancer cells, blocking the cell cycle, and inhibiting liver cancer cell proliferation, migration, invasion, angiogenesis, immune escape, etc. The mechanism aims to give full play to the advantages of TCM and precisely regulate the TGF-β signal, thereby exerting positive anti-tumor effects, opening up a new direction for the precise targeted treatment of liver cancer, and providing a scientific basis and a new strategy for the application of TCM in the treatment of liver cancer.
3.Quantitative Molecular Detection of Angelicae Sinensis Radix and Its Processed Products Based on Herb-Q Method
Mingyu ZHANG ; Wenjun JIANG ; Baoyu JI ; Yue WANG ; Haitao ZHANG ; Haobo ZHANG ; Xue FENG ; Xiwen LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):192-200
ObjectiveAngelicae Sinensis Radix, a commonly used medicinal herb with both medicinal and edible properties, is frequently adulterated in the market, severely affecting the clinical efficacy of preparations. While qualitative identification techniques for adulterants and counterfeits are now relatively mature, quantitative detection methods for adulterated processed products remain unexplored. Quantitative detection research of Angelicae Sinensis Radix and its primary closely related adulterant, "Tu Danggui" (Angelica gigas), was conducted to establish a herbal quantitative molecular detection (Herb-Q) method for Angelicae Sinensis Radix and its processed products, providing a model for the establishment of quantitative detection technologies for Angelicae Sinensis Radix and related health products. MethodsThe specific single-nucleotide polymorphism (SNP) loci of Angelicae Sinensis Radix and Angelica gigas Nakai were screened based on the complete chloroplast genome sequence. The specific SNP loci of Angelicae Sinensis Radix were selected for quantitative methodological investigations (linearity, limit of quantification, limit of detection, and reproducibility) by mixing the powder of the herbs with different adulteration ratios. Huoxue Zhitong powder with three distinct adulteration ratios (15%, 25%, and 35%) was utilized to ascertain the precision of the Herb-Q method for the quantitative detection of Chinese patent medicines containing Angelicae Sinensis Radix. ResultsBy comparing the 123 chloroplast genome sequences of Angelicae Sinensis Radix, based on the principles of intraspecies conservation, interspecies specificity, and meeting the requirements of pyrophosphate high-throughput sequencing, it was determined that 9 674th locus (A/G) in the chloroplast genome sequence NC_042826.1 and 38 592nd locus (T/C) in the chloroplast genome sequence NC_029393.1 could be the exclusive molecular identification loci of Angelicae Sinensis Radix and Angelica gigas Nakai, respectively. The linear relationship R2 of the Herb-Q method established by selecting the specific 9 674th locus (A/G) of Angelicae Sinensis Radix was 0.997 4 (R2>0.99), indicating an excellent linear relationship. The limits of quantification and detection were established at 2.0%, exhibiting excellent reproducibility [relative standard deviation(RSD)<2.0%]. The established quantitative system based on the Herb-Q method detected the adulteration amount of counterfeit A. gigas in the Huoxue Zhitong powder, with an average deviation of 1.3% for three molecular quantitative replicates. ConclusionThis research demonstrates that the Herb-Q quantitative detection method established based on the 9 674th locus (A/G) in the chloroplast genome sequence NC_042826.1 of Angelicae Sinensis Radix has good applicability, objectivity, and accuracy for Angelicae Sinensis Radix and A. gigas, and its processed products. This method has the capacity to provide technical support for the quantitative detection of commercially available Angelicae Sinensis Radix derivatives, including traditional Chinese medicinal preparations, dietary supplements, and nutraceuticals.
4.Quantitative Molecular Detection of Angelicae Sinensis Radix and Its Processed Products Based on Herb-Q Method
Mingyu ZHANG ; Wenjun JIANG ; Baoyu JI ; Yue WANG ; Haitao ZHANG ; Haobo ZHANG ; Xue FENG ; Xiwen LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):192-200
ObjectiveAngelicae Sinensis Radix, a commonly used medicinal herb with both medicinal and edible properties, is frequently adulterated in the market, severely affecting the clinical efficacy of preparations. While qualitative identification techniques for adulterants and counterfeits are now relatively mature, quantitative detection methods for adulterated processed products remain unexplored. Quantitative detection research of Angelicae Sinensis Radix and its primary closely related adulterant, "Tu Danggui" (Angelica gigas), was conducted to establish a herbal quantitative molecular detection (Herb-Q) method for Angelicae Sinensis Radix and its processed products, providing a model for the establishment of quantitative detection technologies for Angelicae Sinensis Radix and related health products. MethodsThe specific single-nucleotide polymorphism (SNP) loci of Angelicae Sinensis Radix and Angelica gigas Nakai were screened based on the complete chloroplast genome sequence. The specific SNP loci of Angelicae Sinensis Radix were selected for quantitative methodological investigations (linearity, limit of quantification, limit of detection, and reproducibility) by mixing the powder of the herbs with different adulteration ratios. Huoxue Zhitong powder with three distinct adulteration ratios (15%, 25%, and 35%) was utilized to ascertain the precision of the Herb-Q method for the quantitative detection of Chinese patent medicines containing Angelicae Sinensis Radix. ResultsBy comparing the 123 chloroplast genome sequences of Angelicae Sinensis Radix, based on the principles of intraspecies conservation, interspecies specificity, and meeting the requirements of pyrophosphate high-throughput sequencing, it was determined that 9 674th locus (A/G) in the chloroplast genome sequence NC_042826.1 and 38 592nd locus (T/C) in the chloroplast genome sequence NC_029393.1 could be the exclusive molecular identification loci of Angelicae Sinensis Radix and Angelica gigas Nakai, respectively. The linear relationship R2 of the Herb-Q method established by selecting the specific 9 674th locus (A/G) of Angelicae Sinensis Radix was 0.997 4 (R2>0.99), indicating an excellent linear relationship. The limits of quantification and detection were established at 2.0%, exhibiting excellent reproducibility [relative standard deviation(RSD)<2.0%]. The established quantitative system based on the Herb-Q method detected the adulteration amount of counterfeit A. gigas in the Huoxue Zhitong powder, with an average deviation of 1.3% for three molecular quantitative replicates. ConclusionThis research demonstrates that the Herb-Q quantitative detection method established based on the 9 674th locus (A/G) in the chloroplast genome sequence NC_042826.1 of Angelicae Sinensis Radix has good applicability, objectivity, and accuracy for Angelicae Sinensis Radix and A. gigas, and its processed products. This method has the capacity to provide technical support for the quantitative detection of commercially available Angelicae Sinensis Radix derivatives, including traditional Chinese medicinal preparations, dietary supplements, and nutraceuticals.
5.Regulatory Mechanisms of miRNA in Hepatocellular Carcinoma and Current Status of Traditional Chinese Medicine Intervention: A Review
Shiyi LI ; Hao CHENG ; Chunyan JI ; Jun SUN ; Juan XUE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):323-332
Hepatocellular carcinoma(HCC), as one of the common malignant tumours, has seen a continuous rise in incidence and mortality worldwide, posing a serious threat to human health. However, traditional treatments have certain limitations, therefore, the exploration of new therapeutic strategies is particularly urgent. In recent years, with in-depth research on the regulatory mechanisms of microRNA(miRNA) in tumour occurrence and development, it has become new targets for HCC diagnosis and treatment. As a traditional treatment method, Chinese medicine, due to its multi-component, multi-pathway, and multi-target overall regulatory characteristics, shows broad prospects in treating HCC by regulating miRNAs. Accordingly, this paper reviews recent studies on the role of miRNAs in HCC and research advances in traditional Chinese medicine interventions, finding that various miRNAs play key roles in HCC cell cycle regulation, proliferation and apoptosis, invasion and metastasis, immune microenvironment, and drug resistance. It summarises how active ingredients, extracts, medicinal pairs, and formulas of Chinese medicine act on specific miRNAs to regulate their downstream target gene expression, affecting the malignant behaviour of HCC cells and exerting anti-cancer effects. This study aims to provide a theoretical basis for miRNAs as potential biomarkers and therapeutic targets for HCC, as well as to offer new ideas for developing miRNA-based targeted Chinese medicine therapies.
6.Effect of Yang-Reinforcing and Blood-Activating Therapy on the Long-Term Prognosis for Dilated Cardio-myopathy Patients with Yang Deficiency and Blood Stasis Syndrome:A Retrospective Cohort Study
Shiyi TAO ; Jun LI ; Lintong YU ; Ji WU ; Yuqing TAN ; Xiao XIA ; Fuyuan ZHANG ; Tiantian XUE ; Xuanchun HUANG
Journal of Traditional Chinese Medicine 2026;67(1):53-59
ObjectiveTo evaluate the impact of yang-reinforcing and blood-activating therapy on the long-term prognosis for patients with dilated cardiomyopathy (DCM) of yang deficiency and blood stasis syndrome. MethodsA retrospective cohort study was conducted involving 371 DCM patients with yang deficiency and blood stasis syndrome. The yang-reinforcing and blood-activating therapy was defined as the exposure factor. Patients were categorized into exposure group (186 cases) and non-exposure group (185 cases) according to whether they received yang-reinforcing and blood-activating therapy combined with conventional western medicine for 6 months or longer. The follow-up period was set at 48 months, and the Kaplan-Meier survival analysis was used to assess the cumulative incidence of major adverse cardiovascular events (MACE) in both groups. Cox regression analysis was used to explore the impact of yang-reinforcing and blood-activating therapy on the risk of MACE, and subgroup analysis was performed. Changes in traditional Chinese medicine (TCM) syndrome score, left ventricular ejection fraction (LVEF), left ventricular fractional shortening (LVFS), left ventricular end-diastolic diameter (LVEDD), and Minnesota Living with Heart Failure Questionnaire (MLHFQ) score were compared between groups at the time of first combined use of yang-reinforcing and blood-activating therapy (before treatment) and 1 year after receiving the therapy (after treatment). ResultsMACE occurred in 31 cases (16.67%) in the exposure group and 47 cases (25.41%) in the non-exposure group. The cumulative incidence of MACE in the exposure group was significantly lower than that in the non-exposure group [HR=0.559, 95%CI(0.361,0.895), P=0.014]. Cox regression analysis showed that yang-reinforcing and blood-activating therapy was an independent factor for reducing the risk of MACE in DCM patients [HR=0.623, 95%CI(0.396,0.980), P=0.041], and consistent results were observed in different subgroups. Compared with pre-treatment, the exposure group showed decreased TCM syndrome score and MLHFQ score, reduced LVEDD, and increased LVEF and LVFS after treatment (P<0.05); in the non-exposure group, TCM syndrome score decreased, LVEF and LVFS increased, and LVEDD reduced after treatment (P<0.05). After treatment, the exposure group had higher LVEF and LVFS, smaller LVEDD, and lower TCM syndrome score and MLHFQ score compared with the non-exposure group (P<0.05). ConclusionCombining yang-reinforcing and blood-activating therapy with conventional western medicine can reduce the risk of MACE in DCM patients with yang deficiency and blood stasis syndrome, meanwhile improving their clinical symptoms, cardiac function, and quality of life.
7.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
8.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
9.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.
10.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.

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