1.Bioinformatics screening and prognostic value analysis of differentially expressed genes in lung adenocarcinoma
Practical Oncology Journal 2025;(3):235-244
Objective The objective of this study was to identify prognostic molecular biomarkers in lung adenocarcinoma(LUAD)through bioinformatics methods.Methods The gene expression profile data of LUAD were obtained from the Cancer Ge-nome Atlas(TCGA)to analyze the distribution of tumor-infiltrating immune cells using the CIBERSORT algorithm.The Log-rank method was used to screen immune infiltrating cells associated related to overall survival(OS)in patients.The"limma"package was employed to identify differentially expressed genes(DEGs)in OS-related immune cells at high and low levels.The STRING method was used to construct a protein-protein interaction(PPI)network of DEGs.Based on the node scores of the MCC algorithm in the cyto-Hubba plugin,the top 30 genes were selected.The Kaplan-Meier survival curve and Cox proportional regression analysis were used to screen for genes related to LUAD patient OS,and gene expression was validated using the GEPIA2 database.Results The OS of LU-AD patients with high levels of monocytes and eosinophils was significantly higher than those of the low level patients(P<0.05).Based on the high and low level groups of immune infiltrating cells mentioned above,a total of 365 DEGs were screened,and 30 hub genes were identified through the constructed PPI network.Among them,NEK2 and HJURP were regarded as key genes affecting the OS of LUAD patients(P<0.05),which their levels in cancer tissues were higher than those in normal tissues(P<0.05).Conclusion NEK2 and HJURP are key immune infiltration related genes that affect the prognosis of LUAD patients and can serve as potential biomarkers for prognostic prediction of LUAD patients.
2.Brusatol induces apoptosis in small cell lung cancer by inhibiting STAT3 phosphorylation
Hui-lan WEI ; Xin-yu WEI ; Mu-zi JIANG ; Shan-shan WEI ; Zhuo LUO ; Jie YANG
Chinese Pharmacological Bulletin 2025;41(10):1940-1947
Aim To investigate the effect of Brusatol a-gainst small cell lung cancer(SCLC)and its potential mechanism.Methods CCK-8 assay and flow cytome-try were used to detect the cytotoxic effect of Brusatol on SCLC cells.Western blot was employed to measure the expression levels of apoptosis-related proteins,in-cluding cleaved poly(ADP-ribose)polymerase(cleaved-PARP),B-cell lymphoma 2(Bcl-2)and Bcl-2-associated X protein(Bax).Network pharma-cology databases were utilized to identify common tar-gets of Brusatol,SCLC,and apoptosis.Kyoto Encyclo-pedia of Genes and Genomes(KEGG)and Gene On-tology(GO)enrichment analyses were performed on the intersecting genes.Molecular docking simulations between Brusatol and core targets were conducted using the CB-DOCK2 online platform to calculate binding en-ergies and sites.Western blot was further applied to detect the expression levels of signal transducer and ac-tivator of transcription 3(STAT3)and phosphorylated-STAT3(p-STAT3).Results Brusatol inhibited SCLC cell growth and induced apoptosis,significantly downregulating Bcl-2 and cleaved-PARP while upregu-lating Bax expression(P<0.05).Network pharma-cology analysis revealed 108 common targets of Brusa-tol and SCLC,with the top three core targets being ep-idermal growth factor receptor(EGFR),STAT3,and tumor necrosis factor(TNF).Molecular docking re-sults indicated strong binding affinity between bruceine D and these core targets.Western blot validation con-firmed that bruceine D suppressed the expression of STAT3 and p-STAT3.Conclusion Brusatol exerts anti-SCLC effects by inhibiting STAT3 to induce apop-tosis in SCLC cells.
3.Bone marrow hematopoiesis in rats with myelodysplastic syndrome:action mechanism of Huosui Formula in intervening immune checkpoints
Qiuyan ZHUO ; Qun JIANG ; Si XIA ; Shiying LU ; Yandi LIU ; Mei DAI
Chinese Journal of Tissue Engineering Research 2025;29(36):7735-7742
BACKGROUND:Previous studies have shown that Huosui Formula has a synergistic effect on the immune and hematopoietic regulation of patients with myelodysplastic syndrome,but the specific mechanism is not yet clear.OBJECTIVE:To explore the effect and mechanism of Huosui Formula on bone marrow hematopoiesis in rats with myelodysplastic syndrome.METHODS:A total of 70 SD rats were randomly divided into a normal control group(n=10),a model group(n=15),a western medicine group(n=15),a low-dose Huosui Formula group(n=15),and a high-dose Huosui Formula group(n=15).Except for the normal control group,the other four groups were injected with dimethyl benzanthracene via the tail vein to induce the establishment of rat myelodysplastic syndrome models.After modeling,the normal control group and the model group were given normal saline;the western medicine group was given thalidomide capsules 10 mg/kg and retinoic acid tablets 4 mg/kg,and the low-dose Huosui Formula group and the high-dose Huosui Formula group were given 1.5 and 6 g/kg Huosui Formula,respectively,by intragastric administration once a day for 28 consecutive days.Peripheral blood and femoral bone marrow tissue were collected to detect peripheral blood routine and bone marrow biopsy hematopoietic proliferation.Flow cytometry was used to detect T lymphocyte subsets and the expression of CTLA-4 and PD-1 on T lymphocytes.RESULTS AND CONCLUSION:(1)Compared with the normal control group,peripheral blood leukocyte,neutrophil,hemoglobin,platelet,and CD4+,CD4+/CD8+levels were decreased in the model group significantly(P<0.05),while CD4+PD-1+,CD8+PD-1+,CD4+CTLA-4+,and CD8+CTLA-4+expressions were significantly upregulated(P<0.05).(2)In all dosage groups,myelopoietic proliferation was increased compared with the model group,with no significant difference between the groups(P>0.05).(3)Compared with the model group,leukocytes,hemoglobin,platelets,and CD4+,CD4+/CD8+were significantly elevated in the high-dose Huosui Formula group(P<0.05),the expression of CD8+was significantly lower(P<0.05),and the levels of CD4+PD-1+,CD8+PD-1+,CD4+CTLA-4+,and CD8+CTLA-4+were down-regulated but not statistically significant(P>0.05).(4)The western medicine group and the high-dose Huosui Formula group showed similar efficacy.The improvement of each index in the high-dose Huosui Formula group was superior to that in the low-dose Huosui Formula group.These findings indicate that Huosui Formula can improve the bone marrow hematopoiesis in myelodysplastic syndrome model rats,increase the levels of CD4+,and CD4+/CD8+while down-regulate the expression levels of CD4+PD-1+,CD8+PD-1+,CD4+CTLA-4+,and CD8+CTLA-4+.These observations suggest a link to the negative immunoregulation mechanism.
4.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.
5.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.
6.Bioinformatics screening and prognostic value analysis of differentially expressed genes in lung adenocarcinoma
Practical Oncology Journal 2025;(3):235-244
Objective The objective of this study was to identify prognostic molecular biomarkers in lung adenocarcinoma(LUAD)through bioinformatics methods.Methods The gene expression profile data of LUAD were obtained from the Cancer Ge-nome Atlas(TCGA)to analyze the distribution of tumor-infiltrating immune cells using the CIBERSORT algorithm.The Log-rank method was used to screen immune infiltrating cells associated related to overall survival(OS)in patients.The"limma"package was employed to identify differentially expressed genes(DEGs)in OS-related immune cells at high and low levels.The STRING method was used to construct a protein-protein interaction(PPI)network of DEGs.Based on the node scores of the MCC algorithm in the cyto-Hubba plugin,the top 30 genes were selected.The Kaplan-Meier survival curve and Cox proportional regression analysis were used to screen for genes related to LUAD patient OS,and gene expression was validated using the GEPIA2 database.Results The OS of LU-AD patients with high levels of monocytes and eosinophils was significantly higher than those of the low level patients(P<0.05).Based on the high and low level groups of immune infiltrating cells mentioned above,a total of 365 DEGs were screened,and 30 hub genes were identified through the constructed PPI network.Among them,NEK2 and HJURP were regarded as key genes affecting the OS of LUAD patients(P<0.05),which their levels in cancer tissues were higher than those in normal tissues(P<0.05).Conclusion NEK2 and HJURP are key immune infiltration related genes that affect the prognosis of LUAD patients and can serve as potential biomarkers for prognostic prediction of LUAD 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.Tissue and immune pathology in young-rat models of coxsackievirus B3-infection in relation to virus concentration
Zhuo ZHANG ; Xuewu LIU ; Xiangchi CHEN ; Sa XIAO ; Liu YANG ; Dejian JIANG ; Dongdong PENG
Acta Laboratorium Animalis Scientia Sinica 2025;33(7):1032-1042
Objective Using different concentrations of Coxsackievirus B3(CVB3)to infect young SD rats.To investigate the distribution of coxsackievirus B3(CVB3)in rat tissues and the immune response and inflammatory factors,to clarify the immunopathological mechanism of viral infection and provide an experimental basis for drug screening and efficacy evaluation.Methods Young SD rats(7 days old)were injected intraperitoneally with different doses of CVB3(TCID50=10-3.34/100 μL)and the proportions of lymphocyte subsets(CD4+,CD8+)in whole blood at days 4 and 8 were detected by flow cytometry.The CVB3 loads in the heart,liver,spleen,brain,kidney,and gastrointestinal tissues were detected by real-time fluorescence quantitative polymerase chain reaction,TNF-α and IFN-γ levels were detected by enzyme-linked immunosorbent assay,and histomorphologic changes were observed by hematoxylin and eosin staining.Results Different doses of CVB3 caused different degrees of diarrhea and decreased body mass in young rats.CVB3 was mainly distributed in the stomach,small intestine,large intestine,and stools,with the highest load in the large intestine and stools.The stock solution group(TCID50=10-3.34/100 μL)increased the proportion of CD8+T cells in the whole blood in young rats and decreased the CD4+/CD8+ratio(P<0.05,P<0.01).Compared with the nomal group high TNF-α and low IFN-γ expression were observed in the large intestine of young rats in the concentrate group(P<0.05,P<0.01),and submucosal edema and inflammatory cell infiltration were observed in the large intestine(cecum and rectum).There were no significant differences in the proportion of lymphocyte subsets,TNF-α and IFN-γ levels,and morphological changes in whole blood of young rats in the group 10-1,10-2,and 10-3(P>0.05).Conclusions Different doses of CVB3 can induce infections in young SD rats.CVB3(TCID50=10-3.34/100 μL)causes pathological changes in the large intestine(cecum and rectum)in young rats,and high virus replication can increase levels of inflammatory factors and cause an imbalance of immune cells.CVB3 may have a unique pathogenic mechanism in young rats,providing a theoretical basis for developing evaluation strategies for drugs against CVB3 virus infections.
10.Tissue and immune pathology in young-rat models of coxsackievirus B3-infection in relation to virus concentration
Zhuo ZHANG ; Xuewu LIU ; Xiangchi CHEN ; Sa XIAO ; Liu YANG ; Dejian JIANG ; Dongdong PENG
Acta Laboratorium Animalis Scientia Sinica 2025;33(7):1032-1042
Objective Using different concentrations of Coxsackievirus B3(CVB3)to infect young SD rats.To investigate the distribution of coxsackievirus B3(CVB3)in rat tissues and the immune response and inflammatory factors,to clarify the immunopathological mechanism of viral infection and provide an experimental basis for drug screening and efficacy evaluation.Methods Young SD rats(7 days old)were injected intraperitoneally with different doses of CVB3(TCID50=10-3.34/100 μL)and the proportions of lymphocyte subsets(CD4+,CD8+)in whole blood at days 4 and 8 were detected by flow cytometry.The CVB3 loads in the heart,liver,spleen,brain,kidney,and gastrointestinal tissues were detected by real-time fluorescence quantitative polymerase chain reaction,TNF-α and IFN-γ levels were detected by enzyme-linked immunosorbent assay,and histomorphologic changes were observed by hematoxylin and eosin staining.Results Different doses of CVB3 caused different degrees of diarrhea and decreased body mass in young rats.CVB3 was mainly distributed in the stomach,small intestine,large intestine,and stools,with the highest load in the large intestine and stools.The stock solution group(TCID50=10-3.34/100 μL)increased the proportion of CD8+T cells in the whole blood in young rats and decreased the CD4+/CD8+ratio(P<0.05,P<0.01).Compared with the nomal group high TNF-α and low IFN-γ expression were observed in the large intestine of young rats in the concentrate group(P<0.05,P<0.01),and submucosal edema and inflammatory cell infiltration were observed in the large intestine(cecum and rectum).There were no significant differences in the proportion of lymphocyte subsets,TNF-α and IFN-γ levels,and morphological changes in whole blood of young rats in the group 10-1,10-2,and 10-3(P>0.05).Conclusions Different doses of CVB3 can induce infections in young SD rats.CVB3(TCID50=10-3.34/100 μL)causes pathological changes in the large intestine(cecum and rectum)in young rats,and high virus replication can increase levels of inflammatory factors and cause an imbalance of immune cells.CVB3 may have a unique pathogenic mechanism in young rats,providing a theoretical basis for developing evaluation strategies for drugs against CVB3 virus infections.

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