1.Literature Based Analysis on Adverse Reactions in Simultaneously Clinical Use of Banxia (Rhizoma Pinelliae)- Wutou (Aconitum)
Can CAO ; Wenyong LIAO ; Jiwen ZHANG ; Yinghao WU ; Xiangnan XU ; Meijing WU ; Xiaoqing LIU ; Shaohong CHEN ; Haiyan LIU ; Linlin XIU ; Xiangqing CUI ; Gaoyang LI ; Ying ZHANG ; Gansheng ZHONG
Journal of Traditional Chinese Medicine 2025;66(9):955-962
ObjectiveTo analyze the adverse reactions associated with the clinical use of Banxia (Rhizoma Pinelliae)- Wutou (Aconitum) in the same formula, with the aim of providing a reference for the safety of their clinical application. MethodsLiterature on the clinical application of antagonistic herbs "Banxia-Wutou" used in the same formula, published from January 1st, 2014, to June 30th, 2023, was retrieved from databases including CNKI, VIP, Wanfang, SinoMed, PubMed, Cochrane Library, and Embase. A database was established, and information related to adverse reactions was extracted, including descriptions, classifications, specific manifestations, management and outcomes, patients' primary diseases (western medicine diseases and traditional Chinese medicine diagnoses and syndromes), and medication information (dosage, ratio, administration routes, and dosage forms). ResultsA total of 79 researches simultaneously used antagonistic herbs Banxia-Wutou in the same formula and reported associated advers reactions. Gastrointestinal adverse reactions were the most common, with 8 studies reporting management of adverse reactions and 3 studies reporting improvement with no intervention. Among the 11 researches, the adverse reaction relieved to extant, while other 69 researches didn't report the managment of adverse reaction and its prognosis. For the primary disease in western medicine system, chronic bronchitis and chronic obstructive pulmonary disease (COPD) were most common, while gastric pain was the most common symptom in traditional Chinese medicine with spleen and kidney deficiency and spleen stomach cold deficiency being the most frequent syndromes. The most common Banxia dosage was 10 g, while for the Wutou, Fuzi (Radix Aconiti Lateralis Praeparata) was predominant with the highest dose at 15 g. The most frequent herbal combination was Banxia-fuzi, with a 1∶1 ratio. The main administration route was oral, and the primary dosage form was decoction. ConclusionGastrointestinal adverse reactions are the most common in the clinical use of Banxia-Wutou antagonistic herb combinations. Research on the safety of "Banxia-Wutou" combinations should focus on respiratory system diseases and spleen-stomach related conditions.
2.Polygonati Odorati Rhizoma Polysaccharides Ameliorate Hyperlipidemia in Mice by Regulating Gut Microbiota
Jingchen XIE ; Qianqian LIU ; Suhui XIONG ; Zhimin ZHANG ; Yuexin LIU ; Ping WU ; Duanfang LIAO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):84-92
ObjectiveTo explore the effect of Polygonati Odorati Rhizoma polysaccharides on hyperlipidemia in mice by modulating the gut microbiota. MethodsNinety male C57BL/6J mice were randomized into the following groups (n=15): control, model, simvastatin, low- (100 mg·kg-1), medium- (200 mg·kg-1), and high-dose (400 mg·kg-1) Polygonati Odorati Rhizoma polysaccharides groups. Other groups except the control group were fed with a high-fat diet for the modeling of hyperlipidemia, and drug interventions lasted for 12 weeks. Serum levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were measured by an automatic biochemical analyzer. The pathological changes in the liver and epididymal fat were observed by hematoxylin-eosin staining, and lipid accumulation in the liver was assessed by oil red O staining. The gut microbiota was analyzed by 16S rRNA gene sequencing. ResultsCompared with the control group, the model group exhibited an increase in body weight (P<0.01), along with marked elevations in serum levels of TC, TG, and LDL-C (P<0.05,P<0.01). Furthermore, the model group showcased increase in the liver index and epididymal fat coefficient (P<0.05), increased liver fat accumulation, enlargement of adipocytes in the epididymal fat, decreases in both alpha and beta diversity of the gut microbiota, and an increase in the relative abundance of Allobaculum (P<0.01). Compared with the model group, Polygonati Odorati Rhizoma polysaccharides suppressed the increase in body weight (P<0.01), lowered the serum levels of TC, TG, and LDL-C (P<0.05,P<0.01), reduced the liver index and epididymal fat coefficient (P<0.05), alleviated liver fat accumulation, and decreased the size of adipocytes in the epididymal fat. Furthermore, it enhanced the alpha and beta diversity of the gut microbiota in mice, reduced the relative abundance of Allobaculum, Erysipelotrichaceae, and Clostridium (P<0.01), and increased the relative abundance of Akkermansia and Blautia (P<0.01). ConclusionPolygonati Odorati Rhizoma polysaccharides can ameliorate hyperlipidemia induced by a high-fat diet in mice by regulating the diversity and composition of the gut microbiota.
3.Study on anti-atherosclerosis mechanism of blood components of Guanxin Qiwei tablets based on HPLC-Q-Exactive-MS/MS and network pharmacology
Yuan-hong LIAO ; Jing-kun LU ; Yan NIU ; Jun LI ; Ren BU ; Peng-peng ZHANG ; Yue KANG ; Yue-wu WANG
Acta Pharmaceutica Sinica 2025;60(2):449-458
The analysis presented here is based on the blood components of Guanxin Qiwei tablets, the key anti-atherosclerosis pathway of Guanxin Qiwei tablets was screened by network pharmacology, and the anti-atherosclerosis mechanism of Guanxin Qiwei tablets was clarified and verified by cell experiments. HPLC-Q-Exactive-MS/MS technique was used to analyze the components of Guanxin Qiwei tablets into blood, to determine the precise mass charge ratio of the compounds, and to conduct a comprehensive analysis of the components by using secondary mass spectrometry fragments and literature comparison. Finally, a total of 42 components of Guanxin Qiwei tablets into blood were identified. To better understand the interactions, we employed the Swiss Target Prediction database to predict the associated targets. Atherosclerosis (AS) disease targets were searched in disease databases Genecard, OMIM and Disgent, and 181 intersection targets of disease targets and component targets were obtained by Venny 2.1.0 software. Protein interactions were analyzed by String database. The 32 core targets were selected by Cytscape software. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed in DAVID database. It was found that the anti-atherosclerosis pathways of Guanxin Qiwei tablets mainly include lipid metabolism and atherosclerosis and AGE-RAGE signaling pathway in diabetic complications and other signal pathways. The core targets and the core compounds were interlinked, and it was found that cryptotanshinone and tanshinone ⅡA in Guanxin Qiwei tablets were well bound to TNF, PPAR
4.Network analysis of anxiety, depression and perceived stress with eating behaviors in adolescents
Chinese Journal of School Health 2025;46(6):821-826
Objective:
To explore the network structure of eating behaviors with anxiety, depression and perceived stress in adolescents, so as to provide a basis for effective prevention and intervention of eating behavior problems and negative emotions in adolescents.
Methods:
Based on the Psychology and Behavior Investigation of Chinese Residents (2021) database, the study was conducted among 3 087 adolescents. Sakata Eating Behavior Scale Short From(EBS-SF) was used to investigate their eating behaviors. The Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder Scale-7 Item(GAD-7), and Perceived Stress Questionnaire-3 Item (PSQ-3) were used to evaluate their depression, anxiety and perceived stress. Network analysis method was applied to construct a network of eating behaviors and negative emotional symptoms among adolescents, so as to evaluate the centrality, bridge strength, stability and accuracy of each item.
Results:
The total scores of eating behaviors, depression,anxiety and stress perception in adolescents were 17.41±4.53,6.95±6.08,4.86±5.03,9.34±3.80,respectively. The symptom with the highest intensity and expected impact was "I am only satisfied when I buy more food than I need", with a node intensity and expected impact value of 4.37. The nodes Depression and Anxiety were the most closely connected(weight=0.87). There were no statistically significant differences in the network structure( M =0.13,0.11) and network connection strength(female and male:4.16,4.06, s =0.10;urban and rural areas:4.08,4.07, s =0.01) between different sexes and residents ( P >0.05).
Conclusion
The negative impact of comorbidities such as anxiety, depression, perceived stress and eating behaviors among adolescents can be reduced through targeted prevention and intervention of core symptoms and bridging symptoms.
5.Impact of childhood trauma on internet addiction in medical students: the mediating role of perceived stress
Xiaohong PENG ; Xiaoyuan LIAO ; Dantong WU ; Yanyin ZHOU ; Yelu LIU ; Yuxiang WANG ; Luoya ZHANG ; Juan DENG ; Yanjie PENG ; Kezhi LIU ; Jing CHEN ; Wei LEI
Sichuan Mental Health 2025;38(3):267-272
BackgroundWith the rapid development of the networking technologies, internet addiction has increasingly become a serious mental health issue. Previous studies have revealed the link between childhood trauma and internet addiction, while the mediating role of perceived stress in this link is not yet clear. ObjectiveTo investigate the role of medical students' perceived stress in the relationship between childhood trauma and internet addiction, so as to provide references for the intervention of internet addiction. MethodsFrom February to March 2023, a random sampling technique was used to select 1 232 undergraduate students from the School of Clinical Medical Sciences of Southwest Medical University as research subjects. The Childhood Trauma Questionnaire-Short Form (CTQ-SF), Perceived Stress Scale (PSS), Internet Gaming Disorder Scale (IGDS), and Bergen Social Media Addiction Scale (BSMAS) were used for assessment. Pearson's correlation coefficients were calculated. The mediation effect of perceived stress in the relationship between childhood trauma and internet addiction was tested using Model 4 in the SPSS Process 4.1, and Bootstrapping procedure involving 5 000 replicates was employed to confirm the statistical significance. ResultsA total of 1 016 (82.47%) valid completed questionnaires were gathered. The CTQ-SF scores of medical students were positively correlated with PSS scores, IGD scores, and BSMAS scores (r=0.583, 0.474, 0.465, P<0.01). PSS scores were positively correlated with IGD scores and BSMAS scores (r=0.369, 0.479, P<0.01). Childhood trauma in medical students was found to positively predict perceived stress (β=0.191, P<0.01), social media addiction (β=0.160, P<0.01), and internet gaming disorder (β=0.106, P<0.01). Perceived stress played a significant mediating role in the relationship between childhood trauma and internet gaming disorder, indirect effect value was 0.018 (95% CI: 0.009~0.027), accounting for 16.98%. Perceived stress also exhibited a significant mediating role in the relationship between childhood trauma and social media addiction, indirect effect value was 0.063 (95% CI: 0.048~0.079), accounting for 39.38%. ConclusionChildhood trauma in medical students may affect internet gaming disorder and social media addiction through perceived stress. [Funded by 2022 Annual Research Project of Sichuan Applied Psychology Research Center,(number,CSXL-22102)]
6.Schisandrol B protects intestinal cells against irradiation-induced injury via Nrf2-GPX4 signaling pathway
Ze-Kun WU ; Chang-Kun HU ; Liang-Liang ZHANG ; Ze-Bin LIAO ; Yue GAO
Chinese Pharmacological Bulletin 2024;40(12):2236-2246
Aim To investigate the radio-protective effect of schisandrol B(Sol B)underlying mechanism in alleviating gastrointestinal(GI)toxicity and intesti-nal damage induced by irradiation(IR)exposure dur-ing radiotherapy against abdominal and pelvic malig-nancies or the nuclear accident.Methods The mouse intestinal injury model was established through 4Gy ir-radiation.Immunohistochemistry,immunofluorescence staining,ELISA were used to measure DNA damage,apoptosis,inflammatory reaction,and oxidative stress in the intestine of mice after irradiation.The protective effect of Sol B on intestines injury was evaluated,and the mechanism of the related oxidative stress and in-flammatory response pathway was discussed.Results Sol B significantly improved the survival rates of intes-tinal cells upon IR exposure.The accumulation of DNA damage,apoptosis rate,and inflammatory factors in intestinal tissues were significantly inhibited.The decreased levels of ZO-1 and occludin induced IR inju-ry were rescued by Sol B,indicating the improvement of intestinal structure.The radio-protective activities of Sol B were involved in the stimulation of Nrf2 and the subsequent ferroptosis surveillance.Conclusion Sol B demonstrates a promising agent to ease intestinal in-jury during radiotherapy or nuclear accidents,in which GPX4 related ferroptosis surveillance mediated by Nrf2 is involved in the radio-protective effect of Sol B.
7.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.
8.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.
9.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.
10.Surveillance of antifungal resistance in clinical isolates of Candida spp.in East China Invasive Fungal Infection Group from 2018 to 2022
Dongjiang WANG ; Wenjuan WU ; Jian GUO ; Min ZHANG ; Huiping LIN ; Feifei WAN ; Xiaobo MA ; Yueting LI ; Jia LI ; Huiqiong JIA ; Lingbing ZENG ; Xiuhai LU ; Yan JIN ; Jinfeng CAI ; Wei LI ; Zhimin BAI ; Yongqin WU ; Hui DING ; Zhongxian LIAO ; Gen LI ; Hui ZHANG ; Hongwei MENG ; Changzi DENG ; Feng CHEN ; Na JIANG ; Jie QIN ; Guoping DONG ; Jinghua ZHANG ; Wei XI ; Haomin ZHANG ; Rong TANG ; Li LI ; Suzhen WANG ; Fen PAN ; Jing GAO ; Lu JIANG ; Hua FANG ; Zhilan LI ; Yiqun YUAN ; Guoqing WANG ; Yuanxia WANG ; Liping WANG
Chinese Journal of Infection and Chemotherapy 2024;24(4):402-409
Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33%of which were isolated from sterile body sites,mainly from blood(38.86%)and pleural effusion/ascites(10.21%).The predominant species of Candida were Candida albicans(44.51%),followed by Candida parapsilosis complex(19.46%),Candida tropicalis(13.98%),Candida glabrata(10.34%),and other Candida species(0.79%).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62%).Only 2.97%of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61%and a resistance rate of 9.42%to fluconazole,and susceptibility rates above 90%to other drugs.Candida glabrata had a SDD rate of 92.01%and a resistance rate of 7.99%to fluconazole,resistance rates of 32.27%and 48.24%to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90%to other drugs.Candida tropicalis had resistance rates of 29.55%and 26.24%to fluconazole and voriconazole,respectively,resistance rates of 76.60%and 21.99%to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36%to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.


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