1.New advances in stroke therapy targeting the CREB signaling pathway and the potential for herbal interventions
Cui-cui CHENG ; Yu-juan LIANG ; Xing LI ; Ming LÜ ; Yan ZHU
Acta Pharmaceutica Sinica 2024;59(6):1538-1545
cAMP response element binding protein (CREB) is an eukaryotic intranuclear protein widely expressed in a variety of organs, and its activation increases the transcriptional activity of downstream genes and promotes the expression of related genes. The neuronal function of CREB is related to many intracellular processes, such as proliferation, differentiation, survival, long-term synaptic potentials, neurogenesis and neuronal plasticity. Increasing evidence has demonstrated that CREB plays an important role in the stroke development and therefore, it may serve as a potential target for stroke therapy. Since some herbal medicines as well as their active ingredients regulate the CREB signaling, this article will summarize the role of CREB signaling pathway in stroke pathophysiology. The research progress of traditional Chinese medicine and its active ingredients modulating CREB activity will also be discussed, with the aim of providing the basis and reference for the future research and development of natural medicines against stroke.
2.Effects of remifentanil-based fast-track anesthesia on the quality of anesthesia recovery in children with congenital heart disease undergoing transcatheter closure
Hai-Juan JING ; Hong-Qi LIN ; Hai-Li WANG ; Peng-Yu QIN ; Xiao-Fei SHEN ; Pin LÜ
The Chinese Journal of Clinical Pharmacology 2024;40(3):340-344
Objective To observe the effect of remifentanil-based fast-track anesthesia on the quality of anesthesia recovery in children with congenital heart disease underwent transcatheter closure.Methods Children with congenital heart disease who underwent transcatheter closure were divided into treatment group and control group according to the anesthesia plan.The anesthesia plan of the control group was as follows:anesthesia induction(intramuscular injection of ketamine at 4 mg·kg-1,intravenous injection of propofol at 2.5 mg·kg-1,fentanyl at 10 μg·kg-1and cisatracurium at 0.1 mg·kg-1)and anesthesia maintenance(fentanyl at0.4μg·kg-1·min-1 and propofol at 8 μg·kg-1·min-1).The anesthesia plan of the treatment group was as follows:anesthesia induction(intramuscular injection of ketamine at 5 mg·kg-,intravenous injection of midazolam at 0.1 mg·kg-1,sufentanil at 1.0 μg·kg-1 and cisatracurium at 0.1 mg·kg-1)and anesthesia maintenance(remifentanil at 0.5 μg·kg-1·min-1 and propofol at 8 μg·kg-1·min-1).Anesthesia recovery,facial expression,leg posture,activity,crying and comfortability(FLACC)of 5 pain scores,Ramsay score,hemodynamics,myocardial injury indexes,and adverse drug reactions were compared between the two groups.Results There were 64 cases in treatment group and 56 cases in control group.The spontaneous respiration recovery time,call time and extubation time of the treatment group were(4.87±1.22),(10.16±2.58)and(12.55±3.19)min,shorter than those in control group,which were(5.49±1.35),(13.34±3.27)and(15.67±3.62)min(all P<0.05).At 1 h and 2 h after operation,Ramsay scores of treatment group were 2.58±0.35 and 3.69±0.42,were lower than 3.02±0.47 and 4.24±0.39 in control group(all P<0.05).At 1 h and 2 h after operation,the FLACC scores of the treatment group were 3.03±0.81 and 3.75±0.84,lower than 3.78±0.62 and 4.36±0.51 in control group(all P<0.05).Mean arterial pressure(MAP)of treatment group at the insertion of laryngeal mask,the insertion of occluder and the end of the operation were(102.45±10.26),(94.18±8.37)and(91.46±10.15)mmHg,lower than those in control group,which were(107.84±10.11),(100.57±9.84)and(97.33±8.53)mmHg(all P<0.05).On day 1 and day 3 after operation,serum creatine kinase isoenzyme(CK-MB)levels in the treatment group were(10.03±2.58)and(8.65±2.16)U·L-1,lower than those in control group,which were(12.44±3.07)and(10.16±2.35)U·L-1(all P<0.05).On day 1 and day 3 after operation,serum cardiac troponin Ⅰ(cTn Ⅰ)levels in treatment group[(0.07±0.02)and(0.04±0.01)μg·L-1]were lower than those in control group[(0.09±0.03)and(0.06±0.02)μg·L-1](all P<0.05).The incidence of adverse anesthesia reactions in treatment group was 6.25%(4 cases/64 cases),lower than 17.86%(10 cases/56 cases)in control group(P<0.05).Conclusion Remifentanil-based fast-track anesthesia can improve the quality of anesthesia recovery in children with congenital heart disease undergoing transcatheter closure,with good sedative and analgesic effects,stable hemodynamics during operation,and low incidence of adverse drug reactions.
3.effects of isoliquiritigenin on airway inflammation in neutrophil asthma mice based on VSIG4/NLRP3 inflammatory complex pathway
Qing-Yu HU ; Zong-Li LÜ ; Wen-Juan LIU
The Chinese Journal of Clinical Pharmacology 2024;40(6):869-873
Objective To investigate the effect of isoliquiritigenin on airway inflammation mice with neutrophil asthma and its possible mechanism.Methods Neutrophil asthma mouse model were established using ovalbumin.Balb/c mice were randomly divided into control group(equal amounts of 0.9%NaCl were given),model group(ovalbumin modeling),DXM group(intraperitoneal injection of 4 mg·kg-1 dexamethasone),experimental-L,-H groups(intraperitoneal injection of 100,200 mg·kg-1 isoliquiritigenin),with 11 mice in each group.Airway resistance of each group of mice was detected within 24 h after the last atomization excitation,and lung tissue and bronchoalveolar lavage fluid were taken;the total cell count was performed by cell counting plate;the cell classification count was performed by Richs-giemsa staining;the levels of inflammatory factors in bronchoalveolar lavage fluid were detected by enzyme-linked immunosorbent assay;Weatern blot assay was used to detect protein expression in lung tissue.Results The airway resistance values of control group,model group,DXM group,experimental-L group and experimental-H group were(0.84±0.08),(3.34±0.34),(1.23±0.15),(2.47±0.19)and(1.54±0.18)cmH2 O·s-1;the total number of white blood cells were(15.03±0.11),(331.20±26.64),(38.73±3.28),(180.35±16.89)and(82.74±10.51)x 104·mL-1;interleukin 17(IL-17)levels were(4.79±0.58),(19.21±2.39),(6.35±0.81),(15.96±1.10)and(9.04±0.65)pg·mL-1;V-set and immunoglobulin domain-containing 4(VSIG4)protein expression levels were 0.67±0.04,0.24±0.04,0.59±0.06,0.37±0.04 and 0.53±0.05;Nod-like receptor family heat protein domain associated protein 3(NLRP3)protein expression levels were 0.24±0.02,0.74±0.07,0.35±0.04,0.65±0.08 and 0.44±0.03,respectively.The above indexes were compared between the model group and the control group,and the above indexes of DXM,experimental-L and experimental-H groups were compared with model group,and the differences were statistically significant(all P<0.05).Conclusion Isoliquiritigenin may regulate the VSIG4/NLRP3 complex inflammatory pathway,reduce airway resistance,inhibit the release of inflammatory mediators and improve airway inflammation in mice with neutrophil asthma.
4.Quercetin inhibits the activity of neuroendocrine tumor cells by regulating the GAS5/miR-18b-5p axis
Wen-Juan WU ; Bo LI ; Hai-Hong LÜ ; Jun CHEN ; Wen KOU
The Chinese Journal of Clinical Pharmacology 2024;40(10):1429-1433
Objective To investigate the inhibitory effect of quercetin on Gastro entero pancreatic NEN(GEP-NEN).Methods Human pancreatic neuroendocrine tumor BON-1 cells were randomly divided into control group,quercetin group(80 μmol·L-1 quercetin),quercetin+si-NC group(transfected with si-NC+80 μmol·L-1 quercetin),quercetin+si-growth arrest-specific+ranscript 5(GAS5)group(transfected with si-GAS5+80 μmol·L-1 quercetin).Dual luciferase reporter gene assay was used to verify the targeted binding of GASS5 to miR-18b-5p;real-time quantitative fluorescent PCR(qRT-PCR)was used to detect the mRNA expression levels of B-cell lymphoma-2(Bcl-2)and Bel-2 associated X protein(Bax);positive expression of GAS5 and miR-18b-5p in cells was detected by fluorescence in situ hybridization(FISH)assay.Results Dual luciferase reporter gene results showed that GAS5 was targeted to miR-18b-5p.The GAS5 expression levels of control group,quercetin group,quercetin+si-NC group and quercetin+si-GAS5 group were 1.00±0.13,1.72±0.19,1.78±0.14 and 1.16±0.11,respectively;the expression levels of miR-18b-5p were 1.00±0.15,0.67±0.08,0.72±0.06 and 0.95±0.11 respectively;Bax mRNA expression levels were 1.00±0.12,2.17±0.25,2.32±0.28 and 1.37±0.15,respectively;Bcl-2 mRNA expression levels were 1.00±0.15,0.41±0.05,0.37±0.06 and 1.21±0.13,respectively.The above indexes were significantly different between quercetin group and control group(all P<0.05);the above indexes were significantly different between quercetin+si-NC group and quercetin+si-GAS5 group(all P<0.05).Conclusion Quercetin may slow down the development of GEP-NEN by targeting GAS5/miR-18b-5p molecular axis to inhibit cell growth.
5.Optimizing arch expansion with clear aligners in the mixed dentition based on finite element analysis
Qinyi LÜ ; Ziqi GAO ; Qingchen FENG ; Hongxiang MEI ; Juan LI
Journal of Shanghai Jiaotong University(Medical Science) 2024;44(8):935-943
Objective·To reveal the direction,efficiency,and mechanical load of single tooth displacement with clear aligners for expansion treatment during the transitional dentition period with the aid of finite element analysis.Additionally,overcorrection and torque compensation systems were designed to address insufficient expansion efficiency and buccal inclination of posterior teeth.Methods·One volunteer in mixed dentition period was included to construct a three dimentional cranio-maxillary complex model and an invisible orthodontic system,simulating the buccal displacement(load 1?4:0.200,0.275,0.300,0.325 mm,respectively)and root buccal torque(load 1:buccal displacement load 0.200 mm,root buccal torque 0°;load 5:buccal displacement load 0.275 mm,root buccal torque 1.0°;load 6:buccal displacement load 0.300 mm,root buccal torque 1.3° and load 7:buccal displacement load 0.325mm,root buccal torque 1.8°)on the maxillary deciduous teeth to the first permanent molar with a non bracket invisible orthodontic appliance.Through finite element analysis,the tooth displacement and equivalent stress distribution of the periodontal membrane can be calculated.Results·Expansion treatment with clear aligners in the transitional dentition phase primarily revealed the effect of buccal expansion of teeth;different teeth achieved different levels of expansion rate.At a set expansion amount of 0.200 mm per side,expansion efficiency in the maxillary first permanent molar was 51.86%,second primary molar 68.76%,first primary molar 73.48%,and primary cuspid 84.17%.By designing over-correction(0.275,0.300,0.325 mm),the results showed significant enhancement in expansion effect.When overcorrection length reached 150%(0.300 mm),expansion efficiency at the maxillary first permanent molar,second primary molar,first primary molar,and primary cuspid were 75.16%,99.96%,107.35%,and 122.37%,respectively.The expansion efficiency of maxillary second primary molar,first primary molar,and primary cuspid was close to 100.00%.The overcorrection design exacerbated the dental effects of expansion,intensifying the tendency for teeth to tilt toward the cheek side,leading to side effects such as buccal inclination and drooping of the palatal cusps.When the overcorrection amount for expansion reached 150%,the crown-root displacement in the upper first permanent molar,second primary molar,first primary molar,and primary cuspid were-0.109,-0.134,-0.132,and-0.298 mm,respectively.Applying specific torque compensation for different tooth positions can combat the buccal inclination of posterior teeth.At an overcorrection length of 150%(0.300 mm)with an added 1.3° root buccal torque,expansion efficiency was 56.15%,73.88%,79.49%,and 87.80%,respectively.While the crown-root displacement differences reduced to-0.081,-0.097,-0.095,and-0.208 mm.Conclusion·When using clear aligners for expansion treatment during a transitional dentition period,side effects such as buccal inclination of posterior teeth exist.Furthermore,various teeth realize differing levels of expansion efficiency,necessitating the design of unique adjustment strategies according to different tooth positions.Overcorrection can improve expansion efficiency but needs to be coordinated with root buccal torque for the whole tooth to move buccally.
6.Practical research on the training of intensive care medicine talents in Xizang based on cloud teaching rounds
Wei DU ; Guoying LIN ; Xiying GUI ; Li CHENG ; Xin CAI ; Jianlei FU ; Xiwei LI ; Pubu ZHUOMA ; Yang CI ; Danzeng QUZHEN ; Lü JI ; Ciren SANGZHU ; Wa DA ; Juan GUO ; Cheng QIU
Chinese Journal of Medical Education Research 2024;23(8):1065-1068
In view of the problem of slow development of intensive care medicine in Xizang, the research team made full use of the national partner assistance to Xizang, gathered resources across all cities in Xizang, and formed a national academic platform for critical care medicine in plateau areas. Adhering to the academic orientation with hemodynamics as the main topic, critical care ultrasound as the bedside dynamic monitoring and evaluation method, and blood flow-oxygen flow resuscitation as the core connotation, we have achieved the goals of improving the critical care talent echelon throughout Xizang, driving the overall progress of intensive care medicine in Xizang, making a figure in China, and focusing on training of top-notch talents.
7.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; 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 ; Wei LI ; 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 ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
8.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.
9.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.
10.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.

Result Analysis
Print
Save
E-mail