1.Analysis of dietary patterns associated with type 2 diabetes risk in older prediabetic populations
Kang CHEN ; Yao LIN ; Yaling CHEN ; Xia HUANG ; Wenlong ZHANG ; Chen YANG ; Xiao WANG ; Jiaqiong NING ; Mengyi TU ; Zhaoxia HE
Chinese Journal of Geriatrics 2025;44(4):498-503
Objective:To explore the influencing factors of dietary habits on the progression from prediabetes to type 2 diabetes mellitus(T2DM)in elderly individuals undergoing health check-ups.Methods:In the cross-sectional study, we enrolled individuals aged 60-70 years with fasting plasma glucose (FPG)≥6.0 mmol/L who underwent health examinations at the Health Management Medical Center of Wenjiang District People's Hospital in Chengdu from 2019 to 2022.Demographic characteristics, dietary habit questionnaires, and FPG values were collected.Unconditional binary logistic regression analysis was used to identify factors influencing the natural progression from prediabetes to T2DM.A nomogram prediction model was established based on logistic regression results, and its predictive performance was evaluated by calculating the C-statistics and drawing a calibration curve.Results:A total of 13 681 elderly participants with FPG ≥6.0 mmol/L were included, comprising 4 306(31.5%)prediabetes cases(FPG 6.0-7.0 mmol/L), aged(63.54±16.49)years and 9 375(68.5%)T2DM cases(FPG>7.0 mmol/L), aged(63.09±16.21)years.Unconditional binary logistic regression analysis showed that frequent breakfast( OR=0.777, 95% CI: 0.696-0.868, P<0.001), dietary preference for light diet( OR=0.781, 95% CI: 0.710-0.858, P<0.001), salty taste( OR=0.571, 95% CI: 0.504-0.648, P<0.001), raw food( OR=0.327, 95% CI: 0.224-0.478, P<0.001)and spicy taste( OR=0.124, 95% CI: 0.112-0.137, P<0.001)were the protective factors for the conversion of prediabetes to the T2DM stage in the elderly physical examination population.While fast eating rate( OR=4.327, 95% CI: 3.978-4.772, P<0.001), dietary preference for sweets( OR=5.168, 95% CI: 4.703-5.678, P<0.001), and high-fat diet( OR=1.401, 95% CI: 1.275-1.539, P<0.001)were risk factors for conversion of prediabetes to T2DM stage.C-statistic of the Nomogram prediction model was 0.781; the goodness-of-fit test of the calibration curve was χ2=11.258, P=0.188, and the model predicted well. Conclusions:Regular breakfast, light diet, and dietary preferences for salty, raw, and spicy foods were protective factors for the transition from prediabetes to T2DM stage, whereas rapid eating rate, preference for sweets, and high-fat diets were risk factors for the transition from prediabetes to T2DM stage in the medical examination population.The constructed risk prediction model helped to find out the magnitude of the risk of T2DM in an individual, which increases the evidence for the transition from prediabetes to T2DM stage prevention evidence.
2.Renal impairment and ferroptosis of renal tubular epithelial cells due to severe blast injuries
Xiangyun CHENG ; Guangming YANG ; Zhaoxia DUAN ; Jian DONG ; Xiaohong HUANG ; Jianmin WANG
Journal of Chongqing Medical University 2025;50(7):963-968
Objective:To investigate renal impairment and ferroptosis due to severe blast injuries and related mechanism.Methods:The goats were placed 3 meters away from the center of an 8 kg TNT-equivalent explosive to carry out blast injury experiments.The physical parameters of blast waves were measured,and the pathological severity of blast injuries was graded and scored to assess the severity of injuries.Vital signs,blood gas parameters,and renal function markers were measured before injury and at 1,3,6,and 24 hours after injury.Renal tissue samples were collected at 24 hours after injury to prepare tissue sections,which were used to perform HE staining and measure the changes in the content of Fe2+and the expression of the ferroptosis-related marker proteins xCT and GPX4 in renal tissue,and Prussian blue staining was performed for renal tissue sections to investigate the mechanism associated with renal impairment and ferroptosis of renal cells.Results:Severe blast injuries accounted for the highest proportion of 47.2%in experi-mental goats,while mild,moderate,severe,and extremely severe injuries accounted for 2.8%,36.1%,47.2%,and 13.9%,respectively,and the pathologic severity score of blast injury was 2.56±0.15.For the goats after blast injury,there were significant increases in heart rate(F=12.750,P<0.01)and respiratory rate(F=6.500,P<0.01)and significant reductions in anal temperature(F=3.496,P<0.05),partial pressure of blood oxygen(F=24.630,P<0.01),and blood oxygen saturation(F=18.560,P<0.01),as well as significant increases in the levels of blood uric acid(F=22.320,P<0.01),serum creatinine(F=15.350,P<0.01),and blood urea nitrogen(F=22.310,P<0.01).Compared with the control group,swelling of renal tubular epithelial cells and narrowing of tubular lumen were observed at 24 hours after blast injury,with a significant increase in the content of Fe2+in renal tissue(t=5.933,P<0.01),significant reductions in the relative expression protein levels of GPX4(t=7.924,P<0.01)and xCT(t=4.483,P<0.01)in renal tissue,and deposi-tion of a large amount of iron ions in renal tubular epithelial cells.Conclusion:Experimental goats placed 3 meters away from the cen-ter of an 8 kg TNT-equivalent explosive can cause severe blast inju-ries,resulting in the onset of hypoxia,renal impairment,and ferrop-tosis of renal tubular epithelial cells.
3.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.
4.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.
5.The regulatory role of Dendrobium nobile Lindl alkaloids on the proliferation,migration,and epithelial-mesenchymal transition of human lens epithelial cells induced by TGF-β2
Yinglan SHI ; Zhaoxia HUANG ; Xiaofang TANG ; Die SHI ; Jing CHEN ; Jun LI
The Journal of Practical Medicine 2025;41(20):3165-3174
Objective To investigate the regulatory effect of Dendrobium nobile Lindl alkaloids(DNLA)on the proliferation,migration,and epithelial-mesenchymal transition(EMT)of HLEB3 cells induced by TGF-β2.Methods HLEB3 cells were cultivated in vitro and classified into the control group(DZ),the model group(TGF-β2),and the treatment group(TGF-β2+DNLA).TGF-β2 induced the EMT process of HLEB3 cells.Changes in cell morphology were observed through an inverted microscope.Cell proliferation,apoptosis,and migration were detected by CCK-8 assay,scratch test,and Transwell assay.The total RNAs of the samples were extracted for transcriptome analysis.Bioinformatics processing was employed to obtain relevant information on gene expression differences at the transcriptional level,biological processes,and related signaling pathways.The Western blot(WB)technique was utilized to detect EMT-related proteins to elucidate the mechanism of action of DNLA on lens epithelial cells.Results The study revealed that 10 μg/ml DNLA was suitable for the growth of HLEB3 cells.After 48 hours of the scratch test,the migration rate of the TGF-β2+DNLA group significantly decreased(P<0.01).The Transwell results indicated that the cell migration ability of the TGF-β2+DNLA group was notably weakened(P<0.05).Through bioinformatics,it was discovered that the prevention and treatment of posterior capsular opacification(PCO)by DNLA might be associated with cell junctions,cytoskeleton construction,and fibronectin binding.The pathogenesis of PCO may be related to multiple signaling pathways,including the TGF-β signaling pathway,TNF signaling pathway,and PI3K-Akt signaling pathway.Simultaneously,DNLA could reduce the expression levels of FNI,Smad2/3,and α-SMA proteins and increase the expression of E-cadherin protein.This indicates that DNLA can alleviate abnormal proliferation,migration,and EMT of lens epithelial cells by enhancing intercellular adhesion junctions and weakening cell migration ability,thereby playing a role in preventing and treating posterior capsular opacification.Conclusions DNLA can significantly inhibit the abnormal proliferation and migration of HLEB3 cells,alleviate the EMT process induced by TGF-β2,and prevent and control the occurrence of posterior capsular opacification and other ocular diseases.The mechanism of action might be related to the intervention of the TGF-β/smad signaling pathway and fibrosis proteins such as ZO-1 and E-cadherin.
6.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.
7.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.
8.The regulatory role of Dendrobium nobile Lindl alkaloids on the proliferation,migration,and epithelial-mesenchymal transition of human lens epithelial cells induced by TGF-β2
Yinglan SHI ; Zhaoxia HUANG ; Xiaofang TANG ; Die SHI ; Jing CHEN ; Jun LI
The Journal of Practical Medicine 2025;41(20):3165-3174
Objective To investigate the regulatory effect of Dendrobium nobile Lindl alkaloids(DNLA)on the proliferation,migration,and epithelial-mesenchymal transition(EMT)of HLEB3 cells induced by TGF-β2.Methods HLEB3 cells were cultivated in vitro and classified into the control group(DZ),the model group(TGF-β2),and the treatment group(TGF-β2+DNLA).TGF-β2 induced the EMT process of HLEB3 cells.Changes in cell morphology were observed through an inverted microscope.Cell proliferation,apoptosis,and migration were detected by CCK-8 assay,scratch test,and Transwell assay.The total RNAs of the samples were extracted for transcriptome analysis.Bioinformatics processing was employed to obtain relevant information on gene expression differences at the transcriptional level,biological processes,and related signaling pathways.The Western blot(WB)technique was utilized to detect EMT-related proteins to elucidate the mechanism of action of DNLA on lens epithelial cells.Results The study revealed that 10 μg/ml DNLA was suitable for the growth of HLEB3 cells.After 48 hours of the scratch test,the migration rate of the TGF-β2+DNLA group significantly decreased(P<0.01).The Transwell results indicated that the cell migration ability of the TGF-β2+DNLA group was notably weakened(P<0.05).Through bioinformatics,it was discovered that the prevention and treatment of posterior capsular opacification(PCO)by DNLA might be associated with cell junctions,cytoskeleton construction,and fibronectin binding.The pathogenesis of PCO may be related to multiple signaling pathways,including the TGF-β signaling pathway,TNF signaling pathway,and PI3K-Akt signaling pathway.Simultaneously,DNLA could reduce the expression levels of FNI,Smad2/3,and α-SMA proteins and increase the expression of E-cadherin protein.This indicates that DNLA can alleviate abnormal proliferation,migration,and EMT of lens epithelial cells by enhancing intercellular adhesion junctions and weakening cell migration ability,thereby playing a role in preventing and treating posterior capsular opacification.Conclusions DNLA can significantly inhibit the abnormal proliferation and migration of HLEB3 cells,alleviate the EMT process induced by TGF-β2,and prevent and control the occurrence of posterior capsular opacification and other ocular diseases.The mechanism of action might be related to the intervention of the TGF-β/smad signaling pathway and fibrosis proteins such as ZO-1 and E-cadherin.
9.Analysis of dietary patterns associated with type 2 diabetes risk in older prediabetic populations
Kang CHEN ; Yao LIN ; Yaling CHEN ; Xia HUANG ; Wenlong ZHANG ; Chen YANG ; Xiao WANG ; Jiaqiong NING ; Mengyi TU ; Zhaoxia HE
Chinese Journal of Geriatrics 2025;44(4):498-503
Objective:To explore the influencing factors of dietary habits on the progression from prediabetes to type 2 diabetes mellitus(T2DM)in elderly individuals undergoing health check-ups.Methods:In the cross-sectional study, we enrolled individuals aged 60-70 years with fasting plasma glucose (FPG)≥6.0 mmol/L who underwent health examinations at the Health Management Medical Center of Wenjiang District People's Hospital in Chengdu from 2019 to 2022.Demographic characteristics, dietary habit questionnaires, and FPG values were collected.Unconditional binary logistic regression analysis was used to identify factors influencing the natural progression from prediabetes to T2DM.A nomogram prediction model was established based on logistic regression results, and its predictive performance was evaluated by calculating the C-statistics and drawing a calibration curve.Results:A total of 13 681 elderly participants with FPG ≥6.0 mmol/L were included, comprising 4 306(31.5%)prediabetes cases(FPG 6.0-7.0 mmol/L), aged(63.54±16.49)years and 9 375(68.5%)T2DM cases(FPG>7.0 mmol/L), aged(63.09±16.21)years.Unconditional binary logistic regression analysis showed that frequent breakfast( OR=0.777, 95% CI: 0.696-0.868, P<0.001), dietary preference for light diet( OR=0.781, 95% CI: 0.710-0.858, P<0.001), salty taste( OR=0.571, 95% CI: 0.504-0.648, P<0.001), raw food( OR=0.327, 95% CI: 0.224-0.478, P<0.001)and spicy taste( OR=0.124, 95% CI: 0.112-0.137, P<0.001)were the protective factors for the conversion of prediabetes to the T2DM stage in the elderly physical examination population.While fast eating rate( OR=4.327, 95% CI: 3.978-4.772, P<0.001), dietary preference for sweets( OR=5.168, 95% CI: 4.703-5.678, P<0.001), and high-fat diet( OR=1.401, 95% CI: 1.275-1.539, P<0.001)were risk factors for conversion of prediabetes to T2DM stage.C-statistic of the Nomogram prediction model was 0.781; the goodness-of-fit test of the calibration curve was χ2=11.258, P=0.188, and the model predicted well. Conclusions:Regular breakfast, light diet, and dietary preferences for salty, raw, and spicy foods were protective factors for the transition from prediabetes to T2DM stage, whereas rapid eating rate, preference for sweets, and high-fat diets were risk factors for the transition from prediabetes to T2DM stage in the medical examination population.The constructed risk prediction model helped to find out the magnitude of the risk of T2DM in an individual, which increases the evidence for the transition from prediabetes to T2DM stage prevention evidence.
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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