1.Mechanism of agomelatine alleviating anxiety-and depression-like behaviors in APP/PS1 transgenic mice
Tian LI ; Yuhua REN ; Yanping GAO ; Qiang SU
Chinese Journal of Tissue Engineering Research 2025;29(6):1176-1182
BACKGROUND:Agomelatine is a clinically proven treatment for neuropsychiatric symptoms,such as anxiety and depression.Furthermore,our previous study has demonstrated that agomelatine ameliorates cognitive behaviors,hippocampal synaptic plasticity,and brain pathology in a mouse model of Alzheimer's disease.However,it remains unclear whether agomelatine can improve anxiety and depression-like behaviors in Alzheimer's disease model mice. OBJECTIVE:To investigate the improving effects of agomelatine on anxiety-and depression-like behaviors in APP/PS1 transgenic mice and its underlying molecular mechanisms. METHODS:(1)Eighteen APP/PS1 transgenic mice were randomly divided into model control group(n=9)and model intervention group(n=9).Another wild-type mice were randomized into control group(n=9)and intervention group(n=9).Model intervention group and intervention group were intraperitoneally injected with 10 mg/kg agomelatine per day for 31 continuous days.Behavioral experiments,including the elevated cross maze and forced swimming tests,and mRNA sequencing of the hippocampus were then performed.(2)Mouse hippocampal neuronal cell lines(HT22)and brain microvascular endothelial cell lines(bEnd.3)were cultured and divided into four groups:blank group without any drug,drug group with 20 μmol/L agomelatine,model group with 10 μmol/L β-amyloid 1-42,and experimental group with 10 μmol/L β-amyloid 1-42+20 μmol/L agomelatine.After 24 hours of incubation,protein expression of S416p-tau and S9p-GSK3β in HT22 cells was detected by immunoblotting,and protein expression of low-density lipoprotein receptor-related protein 1 and glycosylation end-product receptor in bEnd.3 cells was detected by immunoblotting. RESULTS AND CONCLUSION:In the elevated plus maze test,the time spent in the open arms(P<0.01)and the entries into open arms(P<0.05)in the mice of model control group were evidently lower than those in the control group,whereas those were obviously increased in the model intervention group compared with the model control group(P<0.05).Forced swimming test results showed that the immobile time exhibited a marked increase in the model control group compared with the control group(P<0.05),but it was significantly decreased in the model intervention group compared with the model control group(P<0.05).Hippocampal tissue mRNA sequencing showed that agomelatine enhanced the expression of low-density lipoprotein receptor-related protein 1 in the hippocampus of APP/PS1 mice.Western blot analysis revealed that the level of S416p-tau in HT22 cells was higher in the model group than the blank group(P<0.05),while it was markedly decreased in the experimental group compared with the model group(P<0.05);the level of S9p-GSK3β in HT22 cells was higher in the drug group than the blank group(P<0.05)as well as higher in the experimental group than the model group(P<0.05).Moreover,the expression of low-density lipoprotein receptor-related protein 1 in bEnd.3 cells was higher in the experimental group than the model group(P<0.05).To conclude,agomelatine can alleviate anxiety-and depression-like behaviors in Alzheimer's disease mice by promoting the clearance of β-amyloid and phosphorylated tau.
2.Mining and analysis for ocular adverse event signals induced by ALK inhibitors based on FAERS database
Banglong LUO ; Yanping ZHOU ; Rui SU
Chinese Journal of Pharmacoepidemiology 2024;33(7):753-759
Objective To provide references for clinical safe medication by mining and analyzing signals of ocular adverse events(ADE)related to anaplastic lymphoma kinase(ALK)inhibitors.Methods The data from the third quarter in 2011 to the first quarter in 2024 were downloaded from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS),ocular ADEs associated with ALK inhibitors reports were extracted.The suspicious risk signals were mined and analyzed by reporting odds ratio(ROR)and information component(IC)method.The median occurrence time of ocular ADE was analyzed,and Weibull shape parameter test was used to analyze the relationship between ADE occurrence time and ALK inhibitor treatment time.Results A total of 1 575 reports of ALK inhibitor-related ocular ADEs were collected,including 1 107 reports for crizotinib,50 reports for ceritinib,158 reports for alectinib,110 reports for brigatinib and 150 reports for lorlatinib.The proportion of female patients was higher(46.29%),and the main age distribution was between 18 and less than 65 years old(35.17%).No risk signal was detected for ceritinib.13 ADE signals were obtained for crizotinib,alectinib,brigatinib and lorlatinib.Crizotinib ranked first in the number of ADE reports and positive signals,and the signal intensity of crizotinib-induced photopsia was the highest(ROR=43.46,95%CI 36.38 to 51.91;IC=5.18,95%CI 4.89 to 5.40).The median time to onset of most ocular ADEs was within one month of medication initiation,and the median time to onset of blindness caused by ALK inhibitors was the longest at 154.00(114.50,225.50)days.The visual impairment,vision blurred,photopsia,vitreous floatres and diplopia often occurred in the early stage of medication.The photophobia,visual field defect and blindness occurred randomly and did not change with treatment time.Conclusion The risk of ocular ADEs was different in different ALK inhibitors,most of which occurred in the early stage of the treatment.The ocular toxicity of ALK inhibitors should be recognized and treated in time for clinical application.
3.Simultaneous determination of primary volatile components in Tibetan medicine Bawei Chenxiang powders by GC
Meiyun SU ; Pei WANG ; Yanping LIU ; Hebing XIE ; Danzeng BAIMA
Chinese Journal of Pharmacoepidemiology 2024;33(11):1247-1253
Objective To establish a GC method for simultaneous determination of volatile index components of octyl acetate,benzylacetone,myristicin and dehydrocostus lactone in Tibetan medicine Bawei Chenxiang powders.Methods A GC method was used with octyl acetate,benzylacetone,myristicin and dehydrocostus lactone as indicator components,SH-WAX capillary column(30 m×0.25 mm,0.25 μm)and temperature programming were used,the carrier gas was nitrogen,the inlet temperature was 220 ℃,the detector temperature was 240 ℃,with split injection volume of 1 μL.Results The concentrations of octyl acetate,benzylacetone,myristicin and dehydrocostus lactone showed a good linear relationship with peak area(r>0.999 5)in the range of 12.44-124.43 μg·mL-1,2.90-29.01 μg·mL-1,15.95-159.45 μg·mL-1,15.62-156.15 μg·mL-1,respectively;the average recovery rates were 100.40%(RSD=1.55%),97.80%(RSD=1.41%),99.50%(RSD=0.77%)and 99.50%(RSD=0.85%)(n=6).Conclusion The method has good specificity,precision,repeatability and accuracy,and can be used for the determination of volatile index components in Bawei Chenxiang powders.
4.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; 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 ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
5.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen 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(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.
6.Changing resistance profiles of Enterobacter isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shaozhen YAN ; Ziyong SUN ; Zhongju CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Fengbo ZHANG ; Ping JI ; Zhidong HU ; Jin LI ; Sufang GUO ; Han SHEN ; Wanqing ZHOU ; Yingchun XU ; Xiaojiang ZHANG ; Xuesong XU ; Chao YAN ; Chuanqing WANG ; Pan FU ; Wei JIA ; Gang LI ; Yuanhong XU ; Ying HUANG ; Dawen GUO ; Jinying ZHAO ; Wen'en LIU ; Yanming LI ; Hua YU ; Xiangning HUANG ; Bin SHAN ; Yan DU ; Shanmei WANG ; Yafei CHU ; Yuxing NI ; Jingyong SUN ; Yunsong YU ; Jie LIN ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Yan JIN ; Chunhong SHAO ; Jihong LI ; Lixia ZHANG ; Juan MA ; Yunzhuo CHU ; Sufei TIAN ; Jinju DUAN ; Jianbang KANG ; Ruizhong WANG ; Hua FANG ; Fangfang HU ; Yunjian HU ; Xiaoman AI ; Fang DONG ; Zhiyong LÜ ; Hong ZHANG ; Chun WANG ; Yong ZHAO ; Ping GONG ; Lei ZHU ; Jinhua MENG ; Xiaobo MA ; Yanping ZHENG ; Jinsong WU ; Yuemei LU ; Ruyi GUO ; Yan ZHU ; Kaizhen WEN ; Yirong ZHANG ; Chunlei YUE ; Jiangshan LIU ; Wenhui HUANG ; Shunhong XUE ; Xuefei HU ; Hongqin GU ; Jiao FENG ; Shuping ZHOU ; Yan ZHOU ; Yunsheng CHEN ; Qing MENG ; Bixia YU ; Jilu SHEN ; Rui DOU ; Shifu WANG ; Wen HE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(3):309-317
Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5%in all clinical isolates amd 5.7%in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7%(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)%,followed by secretions/pus(16.4±2.3)%and urine(16.0±0.9)%.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9%),and only(7.1±0.8)%of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)%compared to the inpatients in any other departement.Overall,≤ 7.9%of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6%of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7%vs 3.9%).Overall,≤8.1%of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5%of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0%over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.
7.Changing resistance profiles of Proteus,Morganella and Providencia in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yunmin XU ; Xiaoxue DONG ; Bin SHAN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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 ; Hongyan ZHENG ; 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(4):410-417
Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10%of the Proteus and Morganella strains were resistant,while less than 20%of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4%in Proteus isolates,1.9%in Morganella isolates,and 15.6%in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.
8.Changing resistance profiles of Staphylococcus isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yuling XIAO ; Mei KANG ; Yi XIE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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(5):570-580
Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8%)strains of Staphylococcus aureus and 68,040(33.2%)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)%,wound,pus and secretions(33.6±4.2)%,and blood(11.9±1.5)%.The CNS strains were predominantly isolated from blood(73.6±4.2)%,cerebrospinal fluid(12.1±2.5)%,and pleural effusion and ascites(8.4±2.1)%.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)%,outpatient and emergency(11.6±1.7)%,and department of surgery(11.2±0.9)%,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)%,outpatient and emergency(12.8±4.7)%,and department of internal medicine(11.2±1.9)%.The prevalence of methicillin-resistant strains was 32.9%in S.aureus(MRSA)and 74.1%in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1%to 29.2%,and the prevalence of MRCNS decreased from 82.1%to 68.2%.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2%to 2.3%over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.
9.Signal mining and analysis of adverse events of oseltamivir,zanamivir and baloxavir marboxil
Tingting JIANG ; Ni ZHANG ; Hui SU ; Yanping LI ; Yao LIU
China Pharmacy 2024;35(6):739-743
OBJECTIVE To provide reference for safe drug use in clinic by mining the adverse drug events (ADE) of 3 kinds of anti-influenza A virus drugs (oseltamivir, zanamivir, baloxavir marboxil). METHODS The ADE data of oseltamivir, zanamivir and baloxavir marboxil were collected from the FDA adverse event reporting system (FAERS) between the first quarter in 2004 and the third quarter in 2022, and mined by using reporting odds ratio (ROR) method. The designated medical events (DME) were estimated. The system organ class (SOC) in the Medical Dictionary for Regulatory Activities (MedDRA, version 25.0) was used for the classification and statistics of drug ADE terminology. RESULTS A total of 12 636, 1 749 and 1 283 ADE reports were retrieved for oseltamivir, zanamivir and baloxavir marboxil, involving 26, 16 and 17 SOCs, respectively. Oseltamivir was strongly associated with sleep terror, abnormal behavior, hallucination and delirium. Zanamivir was implicated in abnormal behavior, delirium, incoherence, and altered state of consciousness with prominent signal intensity. Baloxavir marboxil was strongly associated with ischemic colitis, hemorrhagic cystitis, erythema multiforme and melaena. Erythema multiform was detected in the DME of three drugs with strong signals. CONCLUSIONS When clinically administering the three drugs, it is crucial to pay close attention to both common adverse reactions and those ADEs that are not explicitly mentioned in the drug instructions. For oseltamivir, clinicians should exercise caution due to the potential risk of acute kidney injury and fulminant hepatitis, necessitating regular monitoring of the patient’s liver and kidney function. When prescribing zanamivir, caution should be exercised due to ADEs related to the respiratory system, including acute respiratory distress syndrome and respiratory failure, necessitating close monitoring of the patient’s respiratory status. Similarly, for baloxavir marboxil, clinicians should be vigilant for potential ADEs such as erythema multiforme and rhabdomyolysis.
10.Clinical efficacy analysis of interventional treatment of iatrogenic massive vaginal bleeding
Shengdong QIN ; Chaodi LI ; Yuhong HOU ; Yanping ZHAO ; Su YAN ; Ruixia GUO ; Xinwei HAN ; Jianhao ZHANG
Journal of Practical Radiology 2024;40(1):103-106
Objective To investigate the clinical efficacy and value of interventional treatment of iatrogenic massive vaginal bleed-ing.Methods Retrospective analysis was performed on 35 patients with postoperative vaginal massive hemorrhage in obstetrics and gynecology who were admitted.Abdominal aorta and bilateral internal iliac arteries angiography and embolization of abnormal vessels were performed under digital subtraction angiography(DS A),and relevant clinical data were recorded and analyzed.Results After interventional treatment,the vaginal bleeding of 33 patients basically stopped within 3 days,and the average interventional operation time was(57.5±17.2)min.The hemoglobin value,hematocrit and blood pressure decreased and the heart rate increased significantly before and after interventional embolization in obstetrics and gynecology,with statistical significance(P<0.05).There were no sig-nificant changes in hemoglobin value and hematocrit between the completion of interventional embolization and 72 hours after interventional embolization(P>0.05).The increase of blood pressure and the decrease of heart rate were statistically significant(P<0.05).Two patients with cesarean section had poor hemostatic effect after interventional embolization,and the bleeding stopped after exploratory laparotomy and hysterectomy.Conclusion Interventional treatment has the advantages of small trauma,simple operation,signifi-cant curative effect,few adverse reactions,and rapid recovery.It plays an important role and clinical value in the diagnosis and treat-ment of iatrogenic vaginal bleeding.

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