1.Study on the apoptosis-inducing effect of esculetin on acute myeloid leukemia HL-60 cells via regulating the AKT/SKP2/MTH1 pathway
Weihua SONG ; Fuying CHU ; Wei XIE ; Jinliang CHEN ; Ping ZHAO ; Hong QIU ; Jian TAO ; Xiang CHEN
China Pharmacy 2026;37(1):36-41
OBJECTIVE To investigate the apoptosis-inducing effect of esculetin (Esc) on acute myeloid leukemia (AML) HL-60 cells by regulating the protein kinase B (AKT)/S-phase kinase-associated protein 2 (SKP2)/MutT homolog 1 (MTH1) pathway. METHODS AML HL-60 cells were randomly divided into control group (routine culture), Esc low-concentration group (L-Esc group, 25 μmol/L Esc), Esc medium-concentration group (M-Esc group, 50 μmol/L Esc), Esc high-concentration group (H-Esc group, 100 μmol/L Esc), and high-concentration of Esc+ SC79 (AKT agonist) group (100 μmol/L Esc+5 μmol/L SC79). Cell proliferation in each group was detected by MTT assay and colony formation assay. The level of reactive oxygen species (ROS) in cells was measured by using the CM-H2DCFDA fluorescent probe. Cell apoptosis was analyzed by flow cytometry. Western blot assay was performed to detect the expression levels of apoptosis-related proteins [B-cell lymphoma 2 (Bcl-2), Bcl-2-associated X protein (Bax), cleaved caspase-3], AKT/SKP2/MTH1 pathway-related proteins (p-AKT, AKT, SKP2, MTH1), along with the upstream and downstream proteins of AKT phosphatidylinositol 3-kinase (PI3K), cyclin-dependent kinase inhibitor 1 (P21) and cyclin-dependent kinase inhibitor 1B (P27). RESULTS Compared with control group, the cell viability, colony number, and the phosphorylation levels of AKT and PI3K proteins as well as protein expressions of SKP2, MTH1 and Bcl-2 were significantly decreased (P<0.05), while ROS level, apoptosis rate, and the expression levels of Bax, cleaved caspase-3, P21 and P27 proteins were significantly increased (P<0.05). Moreover, the effects of Esc exhibited concentration-dependence (P<0.05). Compared with H-Esc group, above indexes of high-concentration of Esc+ SC79 group were reversed significantly (P<0.05). CONCLUSIONS Esc may promote massive ROS production and induce activation of apoptosis in HL-60 cells by inhibiting the AKT/SKP2/MTH1 pathway, thus inhibiting the proliferation of HL-60 cells.
2.Effect and mechanism of transplantation of human umbilical cord mesenchymal stem cells with overexpression of the Numb gene in treatment of cholestatic liver fibrosis
Shihao ZHANG ; Changqing ZHAO ; Mingyan YANG ; Feifei XING ; Wei LIU ; Gaofeng CHEN ; Jiamei CHEN ; Ping LIU ; Yongping MU
Journal of Clinical Hepatology 2026;42(1):80-89
ObjectiveTo investigate the effect and mechanism of transplantation of human umbilical cord mesenchymal stem cell (hUC-MSC) with overexpression of the Numb gene in the treatment of cholestatic liver fibrosis (CLF). MethodsThe technique of lentiviral transfection was used to induce the overexpression of the Numb gene in hUC-MSC (hUC-MSCNumb-OE), and hUC-MSC transfected with empty vector (hUC-MSCOE-EV) was used as negative control. Bile duct ligation (BDL) was performed to establish a rat model of CLF, and then the rats were randomly divided into BDL group, hUC-MSC group, hUC-MSCOE-EV group, and hUC-MSCNumb-OE group, while a sham-operation group was also established. The rats in the intervention groups were given a single splenic injection of the corresponding cells after BDL, and samples were collected at the end of week 4. Related indicators were measured, including serum biochemistry, liver histopathology, the content of hydroxyproline (Hyp) in the liver, hepatic stellate cell activation, ductular reaction, liver regeneration, and the expression levels of key molecules in the Numb-p53 signaling axis. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the BDL group, the hUC-MSC group and the hUC-MSCOE-EV group had significant reductions in the levels of serum biochemical parameters (aspartate aminotransferase, gamma-glutamyl transpeptidase, total bile acid, total bilirubin, and direct bilirubin), liver fibrosis markers (the content of Hyp and the expression levels of alpha-smooth muscle actin, tumor necrosis factor-α, and transforming growth factor-beta 1), and ductular reaction markers (the expression levels of CK7 and CK19) (all P <0.05), and compared with the hUC-MSCOE-EV group, the hUC-MSCNumb-OE group had significantly greater improvements in the above indicators (all P <0.05). In addition, compared with the hUC-MSCOE-EV group, the hUC-MSCNumb-OE group had significant improvements in the expression levels of liver regeneration-related markers (albumin and hepatocyte nuclear factor 4α) and the molecules associated with the Numb-p53 signaling axis (Numb, pNumb, Mdm2, and p53) (all P <0.05). ConclusionOverexpression of the Numb gene can enhance the therapeutic effect of hUC-MSC on CLF, possibly by activating the Numb-PTBL-p53-HNF4α axis, promoting the hepatic differentiation of hUC-MSCs and subsequently enhancing liver regeneration.
3.Tumors Invaded in the Central Airway in Predicting Severe Immune Checkpoint Inhibitor-Related Pneumonitis Based on Propensity Score Matching
Bofeng ZHAO ; Yaming ZHANG ; Ping CHEN ; Wei FENG ; Kejun NAN ; Jinpeng LIU ; Baoying CHEN
Chinese Journal of Medical Imaging 2025;33(6):645-650
Purpose To evaluate the value of tumors invasion in the central airway(TICA)in predicting the severe immune checkpoint inhibitor-related pneumonitis(S-CIP)in lung cancer patients using propensity score matching(PSM).Materials and Methods The intact data of 162 consecutive lung cancer patients who received treatment with immune checkpoint inhibitors in Xi'an International Medical Center Hospital from September 2019 to March 2022 were retrospectively collected.Patients were divided into S-CIP group(23 cases)and non-S-CIP group(139 cases)according to the presence of S-CIP.The demographic information of the patients,including gender,age,history of smoking,thoracic radiotherapy histology,baseline lung diseases,classification,TNM stage,tumor location as well as TICA were collected.A binary Logistic regression was used to analyze the confounding factors and independent risk factors of S-CIP and to predict the development of S-CIP.A 1:1 matching was performed by the nearest neighbor method for PSM.The PSM was used to pair the two groups,and the value of TICA in predicting S-CIP before and after PSM was compared.The receiver operating characteristic curve and the area under the curve were used for model performance based on TICA.Results Before PSM,the proportion of baseline lung diseases(78.3%vs.32.4%,OR=6.802,P=0.001),thoracic radiotherapy history(69.6%vs.30.2%,OR=5.300,P=0.002)and TICA(65.2%vs.27.3%,OR=5.882,P=0.001)in the S-CIP group was higher than those in the non-S-CIP group,and were independent risk factor for predicting S-CIP.After PSM,20 patients were included in each group.The presence of TICA was higher in S-CIP group than that in the non-S-CIP group(60.0%vs.20.0%,OR=6.000,P=0.013).The area under the curves of Logistic regression model based on TICA was 0.700(95%CI 0.534-0.866).Conclusion TICA is an independent risk factor for development of S-CIP,which has moderate degree of accuracy in predicting S-CIP,can be used for risk prediction and early intervention to reduce the poor prognosis of S-CIP patients.
4.The Epigenetic Regulation of Decitabine Resistance in TP53-Mutated Myelodysplastic Syndromes:Integrated Analysis Based on RNA-seq and Methylomics
Lan ZHANG ; Yu-Ye REN ; Wei CHEN ; Wen-Ya HU ; Chen-Xi ZHAO ; Li-Ping SU
Journal of Experimental Hematology 2025;33(6):1681-1687
Objective:To investigate the effects of TP53 genetic status(wild-type/mutated/null)on the drug resistance of decitabine(DAC)in myelodysplastic syndromes(MDS)and identify key resistance-associated genes.Methods:Two myeloid cell lines with distinct TP53 status(M-07e:wild-type;SKM-1:mutated;)were treated with gradient DAC concentrations(0-10 μmol/L)for 0-72 h.Cell viability was detected by CCK-8 assay.RNA-Seq transcriptomics,and methylation profiling were integrated to analyze differentially expressed genes.Results:Decitabine(DAC)treatment induced time-and dose-dependent inhibition of cell viability in CCK-8 assays,with SKM-1 cells exhibiting the highest resistance(IC50=5 μmol/L vs M-07e=0.5 μmol/L,P<0.01).Transcriptomic analysis revealed 662 upregulated and 452 downregulated genes in DAC-treated M-07e cells,while SKM-1 cells showed 515 upregulated and 73 downregulated genes.By proteomic profiling,117 upregulated and 136 downregulated proteins were identified in M-07e cells,while 91 upregulated and 46 downregulated proteins were identified in SKM-1 cells following DAC exposure.Through integrated analysis of upregulated genes and proteins expression profiles,181 candidate genes were screened out,while methylation studies identified 884 hypomethylated genes with high-sensitivity loci and CpG density.Notably,31 genes overlapped between these datasets,and functional annotation indicated these drug-resistance-associated genes are primarily involved in positive regulation of cell differentiation,negative regulation of binding processes,and negative regulation of cellular component organization.Conclusion:TP53 mutations drive DAC resistance via epigenetic reprogramming.Targeting these genes may improve outcomes in TP53-mutated MDS.
5.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
6.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
7.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
8.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
9.SchA ameliorates endothelial dysfunction caused by oxidative stress
Hui-min HOU ; Wen-wen ZHANG ; Wei-ping ZHAO ; Xin ZHAO ; Xian-mei PIAO
Chinese Pharmacological Bulletin 2025;41(1):122-130
Aim To investigate the antagonistic effect of Schizandrin A(SchA)on oxidative stress-induced endothelial dysfunction and its mechanism of action.Methods Human umbilical vein endothelial cells(HUVECs)were selected as the research subjects,and the effects of SchA on cell viability were detected by MTT assay;the content of ROS in the cells was detec-ted by flow cytometry;the content of MDA and CAT in the cells,and the content of NO and ET-1 in the cell supernatant were detected by kit assay;and the expres-sion of SOD1,p-eNOS/eNOS proteins,and ET-1 in the cell supernatant were detected by Western blot.Immu-nofluorescence experiments were performed to detect Nrf2 entry into the nucleus of cells.Results SchA re-versed the LPS-or hypoxia-induced increase in ROS and MDA content as well as the decrease in SOD1 and CAT content in HUVECs by activating the Nrf2/Keap1/HO-1 signaling pathway.SchA inhibited the decrease of p-eNOS and eNOS protein expression in HUVECs cells,as well as NO content in cell culture medium and the increase of ET-1 content induced by LPS.The Nrf2 inhibitor ML385 reversed the antagonis-tic effects of SchA on oxidative stress and endothelial dysfunction.Conclusions SchA antagonized LPS and hypoxia-induced oxidative stress,and SchA amelio-rated oxidative stress-induced endothelial dysfunction by up-regulating the Nrf2/Keap1/HO-1 signaling path-way.
10.Formulation and Analysis of Clinical Pharmacist Teacher Training Standard
Ping LIN ; Jiancun ZHEN ; Wei ZHANG ; Zhuo WANG ; Yangui XU ; Pinfang HUANG ; Xin HUANG ; Qingchun ZHAO ; Ying ZHOU ; Jin LU ; Jing LIU ; Li YOU
Herald of Medicine 2025;44(3):404-407
Clinical pharmacist teacher training is an important mean to improve the quality of clinical pharmacy talent cultivation and ensure the service ability and level of the clinical pharmacist team.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-2:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Teacher Training was based on the newly revised management document for clinical pharmacist teacher training of the Chinese Hospital Association.After sorting out relevant materials,such as standards,policies and regulations,technical specifications,liter-ature,documents of the Chinese Hospital Association,expert opinions,and the current situation of clinical pharmacist teacher training in China,the standard was formulated.In the standard,12 key elements,which can be divided into 3 parts of base manage-ment,training process and assessment,quality management and evaluation improvement,were standardized.This article aimed to introduce the construction method and content of the standard,to facilitate the understanding of the standard content for medical institutions which joined or willing to join the clinical pharmacist teacher training base,and to provide a reference for other medi-cal institutions to carry out related work.

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