1.Effect of Wenyang Huazhuo Formula (温阳化浊方) on Reproductive Aging,Ovarian Mechanical Micro-environment,and Offspring Reproductive Potential in Aged Model Mice
Jiaqi XU ; Xiaoli ZHAO ; Nan JIANG ; Kaixi LI ; Yafei DING ; Zimu WEN ; Yingying JIA ; Mengjun JIANG ; Tian XIA
Journal of Traditional Chinese Medicine 2025;66(6):612-620
ObjectiveTo explore the possible mechanisms of Wenyang Huazhuo Formula (温阳化浊方, WHF) in improving reproductive aging from the perspective of the ovarian mechanical microenvironment. MethodsThe experiment included five groups, 3-month group (20 female mice at 3 months of age), 6-month group (20 female mice at 6 months of age), 6-month + WHF group (20 female mice at 5 months of age treated with WHF), 9-month group (20 female mice at 9 months of age), and 9-month + WHF group (20 female mice at 8 months of age treated with WHF). The 6-month + WHF group and 9-month + WHF group were orally administered WHF 41.2 g/(kg·d) once daily for 4 consecutive weeks. The other three groups received no intervention. Reproductive hormone levels were measured by ELISA. HE staining was used to count the numbers of various stages of follicles. Ovarian hyaluronic acid (HA) content and collagen fiber content were measured to evaluate the ovarian mechanical microenvironment. Superovulation was performed to observe the number of eggs obtained, as well as the number of offspring and birth weight to assess fertility. The in vitro fertilization and blastocyst culture of oocytes from female offspring in each group were observed to evaluate the effect of WHF on offspring reproductive potential. ResultsCompared with the 3-month group, the 6-month group and 9-month group showed significantly decreased serum levels of gonadotropin-releasing hormone (GnRH), follicle-stimulating hormone (FSH), and luteinizing hormone (LH), decreased ovarian collagen content, and reduced numbers of primordial and secondary follicles. In contrast, the numbers of primary follicles, antral follicles, and atretic follicles increased. The levels of anti-Müllerian hormone (AMH), ovarian HA content, and the fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring were significantly lower (P<0.05). Compared with the 6-month group, the 6-month + WHF group showed significantly reduced serum levels of GnRH, FSH, and LH, with a significant decrease in primary follicles, antral follicles, and atretic follicles as well as increase of AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, and offspring birth weight (P<0.05). Compared with the 9-month group, the 9-month + WHF group exhibited reduced GnRH, FSH, and collagen fiber content, as well as reduced number of primary follicles, antral follicles, and atretic follicles. However, AMH levels, ovarian HA content, number of primordial and secondary follicle, egg count, offspring numbers, birth weight, fertilization rate, cleavage rate, and blastocyst formation rate of oocytes from offspring all significantly increased (P<0.05). ConclusionWHF can significantly improve the ovarian reserve, fertility, and reproductive potential in offspring during reproductive mid-life and late-life stages. Its effect may be related to the remodeling of the mechanical microenvironment of aging ovaries. Moreover, the effect on the mechanical microenvironment remodeling of late-stage ovaries and the improvement of the offspring reproductive potential is more significant.
2.The role of CaMKⅡδ in platelet activation mediated by thrombin and TRAP
Yafei ZHAO ; Yongying CHEN ; Pan SUN ; Peng JIANG ; Li MA
Chinese Journal of Blood Transfusion 2025;38(10):1307-1312
Objective: To investigate the role of calcium/calmodulin-dependent protein kinase Ⅱ delta (CaMKⅡδ) in platelet activation mediated by thrombin and thrombin receptor activator peptide (TRAP). Methods: The CaMKⅡδ-specific inhibitor Hesperadin was used to assess its inhibitory effects on platelet activation using multiple detection methods. These included: analyzing the inhibitory effect of different concentrations of Hesperadin on thrombin- and TRAP-induced platelet aggregation using a platelet aggregometer; measuring CD62P expression levels and calcium mobilization via flow cytometry; and determining dense granule release activity using a microplate reader. Results: Hesperadin at concentrations of 40 μM and 80 μM significantly inhibited thrombin- and TRAP-induced platelet aggregation (P<0.05). Within the concentration range of 20–80 μM, it significantly inhibited α-granule release and TRAP-induced calcium ion mobilization (P<0.05); at 80 μM, it markedly suppressed thrombin-induced platelet calcium ion mobilization and significantly inhibited dense granule release (P<0.05). Conclusion: The experimental results indicate that CaMKⅡδ in platelets is activated and plays a regulatory role in the process of platelet activation induced by thrombin and TRAP.
3.Binding and carrying role of human serum albumin from various sources to sphingosine-1-phosphate
Qing LIU ; Yafei ZHAO ; Jun XU ; Lu CHENG ; Yuwei HUANG ; Xi DU ; Changqing LI ; Zongkui WANG ; Li MA
Chinese Journal of Blood Transfusion 2024;37(5):524-533
Objective To investigate the binding and carrying effects of human serum albumin(HSA)from various sources on sphingosine-1-phosphate(S1P).Methods Utilizing human plasma-derived HSA(pHSA)and recombinant HSA(rHSA)samples as the focal points of our investigation,LC-MS/MS technology was employed to meticulously compare and an-alyze the disparities in S1P content among the aforementioned samples.Subsequently,under physiological concentration condi-tions,S1P was directly introduced to HSA samples for loading processing,facilitating a comprehensive comparison of the bind-ing efficacy of HSA from different sources to S1P.Within a serum-free culture setting,HSA samples from various sources were co-cultured with HUVEC cells.The alterations in S1P content within the cell culture supernatant across different treatment groups were meticulously analyzed,allowing for a nuanced comparison of the S1P carry effects exerted by HSA from different sources on cells.The interaction between HSA and S1P molecules from different sources was analyzed and their affinity was cal-culated using surface plasmon resonance(SPR)technology.Furthermore,leveraging AutoDock Vina software and the Mol-prophet platform,the molecular docking analysis of HSA and S1P was conducted,aiming to predict the key binding pocket do-main of S1P within HSA.Results All pHSA samples exhibited detectable levels of S1P(ranging from 3.31±0.03 to 30.35±0.07 μg/L),with significant variations observed among pHSA samples from different manufacturers(P<0.001).Conversely,S1P was undetectable in all rHSA samples.Upon load treatment,the binding affinity of HSA from diverse sources to S1P dem-onstrated significant discrepancies(P<0.001),with rHSA exhibiting approximately double the average S1P loading compared to pHSA(ΔCrHSA=801.75±142.45 μg/L vs ΔCpHSA=461.94±85.73 μg/L;P<0.001,t=5.006).Co-culture treatment out-comes revealed a significant elevation in S1P concentration within the supernatant after 6 hours of co-culture across all HSA sample processing groups with HUVEC cells,while no changes were observed in the supernatant of the blank control group.Notably,significant differences in supernatant S1P concentration were observed among treatment groups at 6 h,12 h,and 24 h(P<0.001).SPR analysis unveiled a stronger affinity of pHSA for S1P compared to rHSA(KDpHSA-S1P:2.38E-06,KDrHSA-S1P:3.72E-06).Molecular docking analysis and binding pocket prediction suggested that the key binding pocket of HSA and S1P may reside in the IB subdomain of the HSA molecule.Conclusion HSA from various sources exhibits distinct binding and carrying effects on S1P,which appear to be closely associated with the IB subdomain of the HSA molecule.
4.Etiological characteristics of Brucella melitensis in Henan Province, 2013-2022
Jiayong ZHAO ; Weirong SONG ; Baifan ZHANG ; Yingxin HU ; Yafei LI ; Jingjing PAN ; Haifeng WANG ; Wanshen GUO ; Xueyong HUANG ; Ying YE
Chinese Journal of Epidemiology 2024;45(11):1559-1565
Objective:To analyze the genus, drug resistance/virulence and phylogenetic characteristics of Brucella strains isolated from brucellosis surveillance sentinels in Henan Province from 2013 to 2022, and provide baseline data for the surveillance, early warning and outbreak tracing of brucellosis. Methods:Blood samples were collected from patients with Brucella infection for strain isolation, culture and species identification, drug susceptibility test, whole genome sequencing, splicing and assembly, functional/virulence/resistance gene prediction analysis and phylogenetic tree drawing based on single nucleotide polymorphism (SNP). Results:In 36 brucellosis patients, the majority were men (86.11%, 31/36), young adults aged 18-50 (88.89%, 32/36) and farmers/herdsmen (72.22%, 26/36). A total of 36 strains of Brucella melitensis were isolated, and average 1 305 functional proteins of 21 categories were predicted by strain genome; all the strains carried four main virulence factors (pmm, VirB group, BtpA/BtpB, BvrS/BvrR). The drug sensitivity rate was 100.00% to six types of antibiotics including levofloxacin, rifampicin, doxycycline, streptomycin, tetracycline and gentamicin, they showed different resistances to three antibiotics including compound trimethoprim-sulfamethoxazole, ciprofloxacin and ampicillin. The strains carried four types of resistance genes and two clusters of resistance genes, with four combinations of genotypes, the resistance mechanisms included antibiotic degradation/modification enzymes, resistant nodular cell differentiation (RND) efflux pumps, 16S/23S ribosomal rRNA binding site mutations, etc. The number of SNP differed in the genomes of 36 Brucellamelitensis strains ranged from 0 to 454 and phylogenetic tree was divided into three major branches, with relative branch distances between 0.000 0 and 0.498 6 for each strain. Conclusions:Human Brucellamelitensis strains isolated from surveillance sentinels in Henan from 2013 to 2022 carried multiple virulence and antibiotic resistance genes and had different drug resistance phenotypes. Single nucleotide polymorphism analysis and phylogenetic tree analysis showed significant differences in phylogenetic relationships among different strains.
5.Interpretation of Shanghai local standard Requirements for outdoor smoking areas setting up and management
De CHEN ; Chenchen XIE ; Yuan DING ; Yafei HU ; Zhuohui ZHAO ; Yunfei CAI ; Jingrong GAO
Shanghai Journal of Preventive Medicine 2024;36(10):925-928
On May 25, 2024, Shanghai Municipal Administration for Market Regulation released Shanghai local standard Requirements for Outdoor Smoking Areas Setting Up and Management (DB 31/T 1482‒2024) (hereinafter referred to as Standard), which scheduled for official implementation from September 1, 2024. This article provided an interpretation of the key provisions in the Standard, with a particular emphasis on the scope of application, establishment and management requirements. In addition, the significance and potential difficulties and challenges during subsequent implementation of the Standard was summarized and outlined simultaneously, so as to provide a guarantee for users to fully comprehend and effectively implement the Standard.
6.Study on the Analgesic Material Basis of Zhejiang Vinegar Corydalis Rhizoma Based on Chemometrics
LI Yafei ; ZHAO Mingling ; TANG Rui ; FANG Ke' ; er ; ZHANG Hair ; GE Weihong ; DU Weifeng
Chinese Journal of Modern Applied Pharmacy 2024;41(14):1892-1899
ABSTRACT
OBJECTIVE To explore the correlation between HPLC fingerprint and analgesic efficacy of Zhejiang vinegar Corydalis Rhizoma, and to screen out the material basis of analgesic effect of Zhejiang vinegar Corydalis Rhizoma.METHODS Established HPLC fingerprint of Zhejiang vinegar Corydalis Rhizoma and dysmenorrhea model in rats. The weight loss rate, writhing response, serum malondialdehyde(MDA), estradiol(E2), prostaglandin E2(PGE2) and prostaglandin F2α(PGF2α) levels were used as the evaluation indexes of analgesic efficacy. Combined with chemometrics, the main active components of analgesic effect of Zhejiang vinegar Corydalis Rhizoma and the important components with great contribution to the content were screened.RESULTS The fingerprints of different batches of Zhejiang vinegar Corydalis Rhizoma were established, and nine components were identified; compared with the blank group, the weight loss rate, writhing reaction, MDA, E2 and PGF2α levels in the model group were significantly increased. Compared with the model group, the above indexs in the administration group was decreased. Compared with the blank group, the PGE2 level in the model group was significantly decreased. Compared with the model group, the PGE2 level in the administration group was significantly increased. The vinegar Corydalis Rhizoma produced in Zhejiang had a good analgesic effect, and the main active components of its analgesic effect were protopine, palmatine hydrochloride, and dehydrocorydaline. The important components with greater contribution to the content were tetrahydropalmatine, protopine, palmatine hydrochloride and stylopine.CONCLUSION The efficacy of Zhejiang vinegar Corydalis Rhizoma is the result of the combined action of multiple components, and each component has a strong correlation with the pharmacodynamic indexes. This study provides a reference for the screening of analgesic material basis of Zhejiang vinegar Corydalis Rhizoma.
7.Localized juvenile spongiotic gingival hyperplasia:a case report
Jingmei YANG ; Xin ZENG ; Yafei WU ; Huan ZHAO
West China Journal of Stomatology 2024;42(5):667-670
Localized juvenile spongiotic gingival hyperplasia(LJSGH)is a kind of gingival hyperplasia with unique pathological manifestations.Its clinical manifestations are atypical,and the etiology and pathogenesis are unclear.No case report was reported in China.The diagnosis of this disease mainly relies on pathological testing,and recurrence may occur after treatment.The best treatment method still lacks medical evidence.This paper reports a case of LJSGH in a teenager and summarizes its clinical,pathological,and treatment through literature review.This work provides a refer-ence for the diagnosis and treatment of this disease.
8.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.
9.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.
10.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.

Result Analysis
Print
Save
E-mail