1.Promotive effect of hypoxia-induced ANGPTL4 expression on experimental choroidal neovascularization
Jia CHEN ; Ying YANG ; Shu SU ; Shenglai ZHANG ; Xiaowei YANG ; Aimin SANG
Chinese Journal of Experimental Ophthalmology 2025;43(10):906-914
Objective:To investigate the role of hypoxia-induced angiopoietin-like protein 4 (ANGPTL4) expression in experimental choroidal neovascularization (CNV).Methods:Twenty-seven SPF male C57BL/6J mice aged 6-8 weeks were selected.Eighteen of the mice were used to establish a laser-induced CNV model.On the 7th day after laser photocoagulation, success of the modeling was verified using optical coherence tomography angiography (OCTA) and fundus fluorescein angiography (FFA). The retinal pigment epithelium (RPE)-choroid-sclera complex was extracted for protein analysis before modeling and on the 3rd and 7th days after modeling.The relative expression levels of ANGPTL4 and vascular endothelial growth factor (VEGF) at different time points were detected by Western blot.Additionally, frozen sections of mouse eyeballs on day 7 after modeling were prepared and the expression and cellular localization of ANGPTL4 were observed by immunofluorescence.RF/6A cells, derived from monkey choroidal retinal endothelial cells, were treated with 200 μmol/L cobalt chloride (CoCl 2) in the culture medium for 0, 3, 6, and 12 hours.RF/6A cells were also divided into a normal control group, a hypoxia group, and a hypoxia+ si-ANGPTL4 group, and cells were transfected with a plasmid containing si-ANGPTL4 sequence.The relative expression levels of ANGPTL4 and VEGF proteins in each group were detected by Western blot, and the differences in tube formation among the groups were observed by tube formation assay.A total of 27 male C57BL/6J mice were randomly divided into CNV group, CNV+ si-NC group, and CNV+ si-ANGPTL4 group, with 9 mice in each group.In the CNV+ si-NC and CNV+ si-ANGPTL4 groups, si-NC and si-ANGPTL4 were respectively injected into the vitreous cavity after the CNV model was established.Fluorescence leakage in mice was observed by FFA, and the length, thickness and area of CNV was observed using OCTA and immunofluorescence staining of choroidal flat mounts.The relative expression levels of ANGPTL4 and VEGF proteins in each group were detected by Western blot.All animal experiments were conducted in accordance with ARVO Statement on the Use of Animals in Ophthalmic and Vision Research.The experimental protocol was approved by the Affiliated Hospital of Nantong University (No.S20220822-902). Results:Before modeling and on the 3rd and 7th days after modeling, the relative expression levels of ANGPTL4 protein were 1.00±0.00, 1.58±0.05, and 1.90±0.04, respectively, and the relative expression levels of VEGF protein were 1.00±0.00, 1.31±0.05, and 1.84±0.04, respectively, with statistically significant overall differences ( F=528.934, 390.424, both P<0.05). Among them, on the 3rd and 7th days after modeling, the relative expression levels of ANGPTL4 and VEGF proteins were significantly higher in CNV group than in the control group (all P<0.05). The tissues of each layer of the retina were clear in the control group, while neovascularization could be seen growing under the retinal neuroepithelial layer in the CNV group.Compared with the control group, ANGPTL4 expression was significantly increased and colocalized with vascular endothelial cells in the CNV group.After CoCl 2 treatment of RF/6A cells for 3, 6, and 12 hours, the relative expression levels of ANGPTL4 and VEGF proteins were higher than at 0 hour, with statistically significant differences (all P<0.05). Compared with the control group, the relative ANGPTL4 protein expression was increased in the hypoxia group and significantly decreased in the hypoxia+ si-ANGPTL4 group, showing statistically significant differences (both P<0.05). The number of tube formations in the control group, hypoxia group, and hypoxia+ si-ANGPTL4 group were 12.67±1.53, 19.64±1.56, and 17.01±1.04, respectively, with a statistically significant overall difference ( F=33.091, P<0.01). The number of tube formations increased in the hypoxia group and hypoxia+ si-ANGPTL4 group compared with the control group, and the number of tube formations decreased in the hypoxia+ si-ANGPTL4 group compared with the hypoxia group, with statistically significant differences (all P<0.05). Relative expression levels of ANGPTL4 and VEGF proteins were significantly lower in the CNV+ si-ANGPTL4 group than those in the CNV group (both P<0.05). The CNV area was significantly lower in the CNV+ si-ANGPTL4 group than in the CNV group and CNV+ si-NC group (both P<0.05). Conclusions:Hypoxia-induced ANGPTL4 promotes experimental CNV formation in vivo and in vitro.Inhibiting ANGPTL4 can reduce CNV formation and leakage.
2.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
3.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 ; 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 WEN ; 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(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
4.Promotive effect of hypoxia-induced ANGPTL4 expression on experimental choroidal neovascularization
Jia CHEN ; Ying YANG ; Shu SU ; Shenglai ZHANG ; Xiaowei YANG ; Aimin SANG
Chinese Journal of Experimental Ophthalmology 2025;43(10):906-914
Objective:To investigate the role of hypoxia-induced angiopoietin-like protein 4 (ANGPTL4) expression in experimental choroidal neovascularization (CNV).Methods:Twenty-seven SPF male C57BL/6J mice aged 6-8 weeks were selected.Eighteen of the mice were used to establish a laser-induced CNV model.On the 7th day after laser photocoagulation, success of the modeling was verified using optical coherence tomography angiography (OCTA) and fundus fluorescein angiography (FFA). The retinal pigment epithelium (RPE)-choroid-sclera complex was extracted for protein analysis before modeling and on the 3rd and 7th days after modeling.The relative expression levels of ANGPTL4 and vascular endothelial growth factor (VEGF) at different time points were detected by Western blot.Additionally, frozen sections of mouse eyeballs on day 7 after modeling were prepared and the expression and cellular localization of ANGPTL4 were observed by immunofluorescence.RF/6A cells, derived from monkey choroidal retinal endothelial cells, were treated with 200 μmol/L cobalt chloride (CoCl 2) in the culture medium for 0, 3, 6, and 12 hours.RF/6A cells were also divided into a normal control group, a hypoxia group, and a hypoxia+ si-ANGPTL4 group, and cells were transfected with a plasmid containing si-ANGPTL4 sequence.The relative expression levels of ANGPTL4 and VEGF proteins in each group were detected by Western blot, and the differences in tube formation among the groups were observed by tube formation assay.A total of 27 male C57BL/6J mice were randomly divided into CNV group, CNV+ si-NC group, and CNV+ si-ANGPTL4 group, with 9 mice in each group.In the CNV+ si-NC and CNV+ si-ANGPTL4 groups, si-NC and si-ANGPTL4 were respectively injected into the vitreous cavity after the CNV model was established.Fluorescence leakage in mice was observed by FFA, and the length, thickness and area of CNV was observed using OCTA and immunofluorescence staining of choroidal flat mounts.The relative expression levels of ANGPTL4 and VEGF proteins in each group were detected by Western blot.All animal experiments were conducted in accordance with ARVO Statement on the Use of Animals in Ophthalmic and Vision Research.The experimental protocol was approved by the Affiliated Hospital of Nantong University (No.S20220822-902). Results:Before modeling and on the 3rd and 7th days after modeling, the relative expression levels of ANGPTL4 protein were 1.00±0.00, 1.58±0.05, and 1.90±0.04, respectively, and the relative expression levels of VEGF protein were 1.00±0.00, 1.31±0.05, and 1.84±0.04, respectively, with statistically significant overall differences ( F=528.934, 390.424, both P<0.05). Among them, on the 3rd and 7th days after modeling, the relative expression levels of ANGPTL4 and VEGF proteins were significantly higher in CNV group than in the control group (all P<0.05). The tissues of each layer of the retina were clear in the control group, while neovascularization could be seen growing under the retinal neuroepithelial layer in the CNV group.Compared with the control group, ANGPTL4 expression was significantly increased and colocalized with vascular endothelial cells in the CNV group.After CoCl 2 treatment of RF/6A cells for 3, 6, and 12 hours, the relative expression levels of ANGPTL4 and VEGF proteins were higher than at 0 hour, with statistically significant differences (all P<0.05). Compared with the control group, the relative ANGPTL4 protein expression was increased in the hypoxia group and significantly decreased in the hypoxia+ si-ANGPTL4 group, showing statistically significant differences (both P<0.05). The number of tube formations in the control group, hypoxia group, and hypoxia+ si-ANGPTL4 group were 12.67±1.53, 19.64±1.56, and 17.01±1.04, respectively, with a statistically significant overall difference ( F=33.091, P<0.01). The number of tube formations increased in the hypoxia group and hypoxia+ si-ANGPTL4 group compared with the control group, and the number of tube formations decreased in the hypoxia+ si-ANGPTL4 group compared with the hypoxia group, with statistically significant differences (all P<0.05). Relative expression levels of ANGPTL4 and VEGF proteins were significantly lower in the CNV+ si-ANGPTL4 group than those in the CNV group (both P<0.05). The CNV area was significantly lower in the CNV+ si-ANGPTL4 group than in the CNV group and CNV+ si-NC group (both P<0.05). Conclusions:Hypoxia-induced ANGPTL4 promotes experimental CNV formation in vivo and in vitro.Inhibiting ANGPTL4 can reduce CNV formation and leakage.
5.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
6.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 ; 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 WEN ; 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(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
7.Changes in gut microbiota during diabetic nephropathy progression based on 16S rDNA sequencing technology
Qiaoying GAO ; Aimin ZHANG ; Lixiu GE ; Jie FANG ; Minghui CHEN ; Xiaodong JIA
Chongqing Medicine 2025;54(11):2515-2521
Objective To investigate changes in gut microbiota during diabetic nephropathy(DN)pro-gression using 16S rDNA sequencing technology.Methods A total of 90 male SD rats were randomly divided into a normal control group(n=10,no modeling,regular feeding)and a model group(diabetes model).The diabetes model was established by a single intraperitoneal injection of streptozotocin(STZ)at 60 mg/kg,with regular feeding.According to the feeding time after modeling,the rats were divided into 2-week,4-week,8-week,and 12-week model groups(fed for 2,4,8,and 12 weeks after model establishment),with 20 rats in each group.Blood urea nitrogen(BUN)was measured using the urease method,serum creatinine(Scr)was deter-mined by the picric acid method,and ELISA was used to detect urinary kidney injury molecule-1(KIM-1)and neutrophil gelatinase-associated lipocalin(NGAL)levels.HE,PAS,and Masson staining were used to observe renal tissue pathological changes.Gut microbiota was collected from the rats,and 16S rDNA gene sequencing was used to analyze the gut microbiota to understand changes in the gut microbiota.Results Compared with the normal control group,the levels of KIM-1 and NGAL in urine of rats in all model groups were significantly increased(P<0.05).Pathological staining results showed that,compared with the normal control group,rats in all model groups exhibited diffuse thickening of the glomerular basement membrane and pathological chan-ges such as local necrosis and vacuolar degeneration in renal tubular epithelial cells.16S rDNA sequencing re-sults indicated that the abundance and structure of intestinal microbiota in rats of all model groups changed.Compared with the normal control group,in the 8-week and 12-week model groups,the relative abundance of Bacteroides and Akkermansia decreased,while the relative abundance of Roseburia,Alloprevotella,Prevotel-laceae-Ga6A1,and Ruminococcaceae UCG-005 increased.Compared with the normal control group,in the 12-week model group,the abundance of Akkermansia decreased and that of Prevotellaceae-NK3B31 increased.Conclusion The abundance and structure of gut microbial community in DN rats under conventional feeding at different time points change significantly,further confirming the"gut-kidney axis"theory.
8.A case of oocyte maturation defect caused by homozygous of PATL2 gene c.1363C>T
Jia DENG ; Lyujun LIU ; Hualin HUANG ; Min LIU ; Xianghe MENG ; Jiaolei LIAO ; Aimin DENG ; Zenghui MAO
Chinese Journal of Reproduction and Contraception 2024;44(9):955-958
Oocyte maturation defect is an extremely rare primary infertility, which is characterized by ovum development arrest, oocyte complete fertilization failure, oocyte apoptosis before and after fertilization, and early embryonic development arrest. This case explored the genetic etiology of a primary infertility patient, who had no mature oocyte after two cycles of controlled ovarian hyperstimulation. Peripheral blood samples of the patient were collected for whole exome sequencing, the suspected pathogenic variants were screened by bioinformatics and verified by sanger sequencing on the patient and her parents. Results showed that the patient was found to harbor homozygous variant of the PATL2 gene, namely c.1363C>T (p.Gln455*). Sanger sequencing has verified that the parents are both heterozygous. The mutation of c.1363C>T is a rare pathogenic mutation that had not yet been recorded in HGMD database. In this case, PATL2 gene mutation can cause oocyte maturation arrest, it is recommended to use whole exome sequencing and genetic counseling as soon as possible for these patients, so as to select appropriate treatment.
9.A case of oocyte maturation defect caused by homozygous of PATL2 gene c.1363C>T
Jia DENG ; Lyujun LIU ; Hualin HUANG ; Min LIU ; Xianghe MENG ; Jiaolei LIAO ; Aimin DENG ; Zenghui MAO
Chinese Journal of Reproduction and Contraception 2024;44(9):955-958
Oocyte maturation defect is an extremely rare primary infertility, which is characterized by ovum development arrest, oocyte complete fertilization failure, oocyte apoptosis before and after fertilization, and early embryonic development arrest. This case explored the genetic etiology of a primary infertility patient, who had no mature oocyte after two cycles of controlled ovarian hyperstimulation. Peripheral blood samples of the patient were collected for whole exome sequencing, the suspected pathogenic variants were screened by bioinformatics and verified by sanger sequencing on the patient and her parents. Results showed that the patient was found to harbor homozygous variant of the PATL2 gene, namely c.1363C>T (p.Gln455*). Sanger sequencing has verified that the parents are both heterozygous. The mutation of c.1363C>T is a rare pathogenic mutation that had not yet been recorded in HGMD database. In this case, PATL2 gene mutation can cause oocyte maturation arrest, it is recommended to use whole exome sequencing and genetic counseling as soon as possible for these patients, so as to select appropriate treatment.
10.Changing distribution and antimicrobial resistance profiles of clinical isolates from wound pus:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yu ZHANG ; Ying HUANG ; Yuanhong XU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; 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 ; 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 ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(6):690-699
Objective To investigate the distribution and antimicrobial resistance profiles of the clinical isolates from wound pus in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods All the bacterial strains were isolated from wound pus samples from 2015 to 2021.The isolates were identified according to conventional methods.Antimicrobial susceptibility test was conducted by disk diffusion method or commercial automated susceptibility testing systems according to CHINET-specified uniform protocol.The results are interpreted according to the Clinical and Laboratory Standards Institute (CLSI) breakpoints (2021 Edition).Results A total of 90856 bacterial strains were isolated from wound pus samples from 2015 to 2021,of which gram positive bacteria accounted for 36.0% (32729/90856) and gram negative bacteria accounted for 64.0% (58127/90856).The most common bacterial species were Escherichia coli,Staphylococcus aureus,Klebsiella pneumoniae,Pseudomonas aeruginosa,and Enterococcus.About 88.9% of these strains were isolated from inpatients and 11.1% from outpatients.The strains collected from surgery department and internal medicine accounted for (53.4±3.6)% (49191/90856) and (9.6±1.0)% (8960/90856) on average over the 7-year period.E.coli showed low level resistance to carbapenems (1.1%).The prevalence of ESBLs-producing E.coli was 51.1%.More than 35% of the E.coli isolates were resistant to cefotaxime,ciprofloxacin,and trimethoprim-sulfamethoxazole.The prevalence of ESBLs-producing K.pneumoniae was 29.7%.The prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae varied from 2015 to 2021,but reached the peak level (12.5% and 12.7%) in 2020.However,other Enterobacterales species showed low resistance rates to carbapenems.The prevalence of ESBLs-producing Klebsiella oxytoca and Proteus was 18.3% and 32.5%,respectively.About 13.1% and 10.6% of P.aeruginosa isolates were resistant to imipenem and meropenem,respectively.However,71.1% and 72.4% of A.baumannii isolates were resistant to imipenem and meropenem,respectively.The overall prevalence of MRSA was 22.7% in wound pus samples over the 7-year period.Three vancomycin-resistant strains and 122 linezolid-resistant isolates were identified in Enterococcus faecalis.Thirty-one vancomycin-resistant strains and 11 linezolid-resistant strains were detected in Enterococcus faecium.Conclusions The overall prevalence of MRSA,vancomycin-resistant Enterococcus (VRE),linezolid-resistant Enterococcus (LRE),ESBLs-producing Enterobacterales,and carbapenem-resistant organisms (CRO) in the isolates from wound pus samples was relatively lower than the corresponding prevalence in the total clinical isolates collected in the CHINET program.This finding suggests that the antimicrobial resistance profile of bacterial isolates may vary with the source of clinical samples.Therefore,we should strengthen the antimicrobial resistance surveillance for the isolates from different sites of infection.

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