1.The Effect of Banxia Xiexin Decoction (半夏泻心汤) on the Expression of LXRα in Liver Tissue and the JAK2/STAT3 Signaling Pathway in Gastric Antrum Tissue of Diabetic Gastroparesis Model Rats
Qi XU ; Nuobing RUAN ; Jinju LI ; Xijuan LYU ; Zhaohui FANG
Journal of Traditional Chinese Medicine 2025;66(2):178-187
ObjectiveTo explore the potential mechanism of Banxia Xiexin Decoction (半夏泻心汤, BXD) in the treatment of diabetic gastroparesis (DGP). MethodsA total of 29 SD rats were randomly divided into four groups, blank group (5 rats) and model group, BXD group and metformin group (8 rats in each group). Except for the blank group, rats were administered intraperitoneally with 1% streptozotocin (STZ) solution and were fed a high-sugar, high-fat diet to establish the DGP rat model. After successful modeling, the BXD group was treated with BXD at 6.68 g/(kg·d) by gavage, the metformin group was treated with metformin hydrochloride at 105 mg/(kg·d) by gavage, and the blank group and the model group were treated with normal saline at 6.68 ml/(kg·d) by gavage, for 8 weeks. After the last administration, fasting blood glucose (FBG), glycated hemoglobin (HbA1c), total cholesterol (TC), triglycerides (TG) were measured and gastric emptying rate was calculated. ELISA was used to detect the levels of gastrointestinal hormones motilin (MTL) and gastrin (GAS), as well as inflammatory factors including tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), interleukin-1β (IL-1β) and interleukin-10 (IL-10) in gastric tissue. Oil red O staining was performed to observe liver pathological morphology. Hematoxylin and eosin (HE) staining was used to observe gastric antrum tissue morphology. Immunofluorescence staining was used to detect liver X receptor α (LXRα) levels in the liver. Western Blot was used to detect the protein levels of LXRα in liver tissue, and of janus kinase 2 (JAK2), phospho-janus kinase 2 (p-JAK2), signal transducer and activator of transcription 3 (STAT3) and phospho-signal transducer and activator of transcription 3 (p-STAT3) in gastric antrum tissue. Quantitative real-time polymerase chain reaction (qPCR) was used to measure the mRNA expression of LXRα in liver tissue and JAK2, STAT3 in gastric antrum tissue. ResultsCompared with the blank group, the model group showed significant hepatic fatty degeneration, gastric antrum tissue structure destruction, and increases in FBG, HbA1c, TC, and TG levels; the average fluorescence intensity, protein level, and mRNA expression of LXRα in liver tissue were reduced; the gastric emptying rate and gastric tissue GAS and MTL levels decreased; inflammatory factors including TNF-α, IL-6, IL-1β in gastric tissue increased, IL-10 decreased; in gastric antrum tissue, the mRNA expression of p-JAK2/JAK2, p-STAT3/STAT3, and JAK2 and STAT3 increased (P<0.01). Compared with the model group, both the BXD group and the metformin group showed improved liver and gastric antrum tissue pathology; FBG, HbA1c, TC, and TG levels decreased, while LXRα fluorescence intensity, protein level, and mRNA expression in liver tissue significantly increased; the gastric emptying rate and the levels of GAS and MTL in gastric tissue were markedly higher; the levels of TNF-α, IL-6, and IL-1β decreased, whereas IL-10 levels increased, p-JAK2/JAK2, p-STAT3/STAT3, and the mRNA expression of JAK2 and STAT3 in gastric antrum tissue decreased (P<0.05 or P<0.01). The BXD group showed higher level than the metformin group in FBG, HbA1c, and TG levels, lower level in gastric emptying rate and gastric tissue GAS content, and higher level in gastric tissue TNF-α, IL-6, IL-1β levels; there was also a decrease in IL-10 levels, and a reduction in LXRα fluorescence intensity and mRNA expression in liver tissue, as well as in p-JAK2/JAK2 levels in gastric antrum tissue (P<0.05 or P<0.01). ConclusionBXD can reduce blood glucose and lipid levels in DGP model rats while improving gastric function and alleviating gastric tissue inflammation. Its mechanism may be related to the regulation of LXRα expression in liver tissue and the JAK2/STAT3 pathway in gastric antrum tissue.
2.Risk factors for acute myocardial infarction in young and middle-aged population:A meta-analysis
Jinju SUN ; Lei LIU ; Yikang XU ; Bo LI ; Xiaohui MA ; Qian ZHAO
Journal of Shenyang Medical College 2024;26(4):376-381
Objective:To explore the main risk factors for acute myocardial infarction in young and middle-aged population.Methods:CNKI,VIP,Wanfang,CBM,PubMed,Embase,Web of Science,and the Cochrane Library databases were searched for case-control and cohort studies on the risk factors of acute myocardial infarction in young and middle-aged population from the establishment of the database to Feb 2023.The quality of the literature was evaluated using the Newcastle-Ottawa Scale(NOS).Meta-analysis was conducted using Stata 14.0 software.Results:A total of 15 articles were included in this study,including 2 961 patients in the case group and 57 604 patients in the control group.Results of the meta-analysis showed that male(OR=4.79,95%CI:3.28-6.99),hypertension(OR=2.77,95%CI:2.07-3.70),diabetes mellitus(OR=2.65,95%CI:1.89-3.71),family history of early-onset coronary heart disease(OR=3.66,95%CI:2.51-5.32),smoking(OR=2.29,95%CI:1.92-2.73),hyperlipidemia(OR=1.87,95%CI:1.67-2.10),insufficient sleep(OR=1.97,95%CI:1.57-2.47)were the risk factors for acute myocardial infarction in young and middle-aged population.Conclusion:Male,hypertension,diabetes,family history of early-onset coronary heart disease,smoking,hyperlipidemia and insufficient sleep are risk factors of acute myocardial infarction in young and middle-aged population.
3.Research progress in experimental study on the intervention of Achyranthis Bidentatae Radix in osteoporosis
Xiuli WU ; Xiaoxia YAN ; Zhiqiang REN ; Nan SUN ; Jinju LI
International Journal of Traditional Chinese Medicine 2024;46(5):678-680,F4
The research literature on the mechanism of Achyranthis Bidentatae Radix and its main components in the treatment of osteoporosis was reviewed. It was found that Achyranthis Bidentatae Radix could promote the osteogenic differentiation of bone marrow mesenchymal stem cells, enhance the activity of osteoblasts, inhibit the activity of osteoclasts, regulate estrogen levels, and achieve the effects of preventing and treating osteoporosis. It mainly regulates Wnt/β-catenin, Notch, PI3K/Akt and other signaling pathways. The mechanism of Achyranthis Bidentatae Radix in the treatment of OP shows the characteristics of multi-component, multi-target and multi-pathway.
4.Effects of Danzhi Jiangtang Capsules on mitochondrial oxidation damage in db/db mice
Xijuan LYU ; Qi XU ; Nuobing RUAN ; Jinju LI ; Zheng BI ; Yufan LI ; Zhaohui FANG
International Journal of Traditional Chinese Medicine 2024;46(11):1444-1449
Objective:To explore the regulatory effects of Danzhi Jiangtang Capsules on glucose metabolism and mitochondrial oxidative stress levels in db/db mice.Methods:Totally 32 db/db mice were randomly divided into model group, positive control group, and Danzhi Jiangtang Capsule low-, medium- and high-dosage groups; at the same time, 8 same-sex C57BL/6 mice of the same week age were selected as the blank group. The metformin group was filled with metformin solution 0.1 g/kg, and the Danzhi Jiangtang Capsule low-, medium- and high-dosage groups were injected with 0.99, 0.49 and 0.25 g/kg Danzhi Jiangtang Capsule solution respectively. The model group and the blank group received the same volume of physiological saline solution for the gavage, 1 time/d, continuous 12 weeks. The weight and fasting blood sugar (FBG) changes in each group of mice were detected; the serum insulin (FINS) level was detected by ELISA method and the insulin resistance index (HOMA-IR) was calculated; kits were used to detect the pancreatic tissue SOD and MDA levels of each group of mice; HE staining was used to observe pathological morphology of pancreatic tissue. Transmission electron microscopy was used to observe the ultrastructure of pancreatic mitochondria; Western blot method was used to detect the expressions of p-AMPK and AMPK proteins in pancreatic tissue.Results:Compared with the model group, after 8 or 12 weeks of drug administration, the weight of mice in the Danzhi Jiangtang Capsule high-dosage group decreased ( P<0.05 or P<0.01), and the level of FBG decreased ( P<0.01); FINS and HOMA-IR in the Danzhi Jiangtang Capsule high- and medium-dosage groups decreased ( P<0.01), the SOD activity in Danzhi Jiangtang Capsule high- medium- and low-dosage groups increased, and the level of MDA decreased ( P<0.01); the expressions of p-AMPK and AMPK in Danzhi Jiangtang Capsule high-and medium-dosage groups increased ( P<0.01), the expression of AMPK in Danzhi Jiangtang Capsule low-dosage group increased ( P<0.01). Conclusion:Danzhi Jiangtang Capsule can improve SOD activity in pancreatic tissue of db/db mice, reduce MDA content, and activate the AMPK signaling pathway, suggesting that Danzhi Jiangtang Capsule can improve insulin resistance and restore glucose homeostasis by inhibiting oxidative stress levels and improving mitochondrial function.
5.Effect of WeChat mutual-help group in improving anxiety in patients with cervical vertigo
Journal of Apoplexy and Nervous Diseases 2024;41(8):741-744
Objective To investigate the level of anxiety in patients with cervical vertigo and related influencing factors,to establish a mutual-help group based on WeChat platform,and to explore the effect of this model on anxiety.Methods A total of 128 patients with cervical vertigo who underwent surgery in Qingdao West Coast New Area People's Hospital were enrolled consecutively and were randomly divided into control group and mutual-help group.The patients in the control group received routine health education,while those in the mutual-help group joined the WeChat mutual-help group in addition to the routine health education.The Self-Rating Anxiety Scale(SAS)was used for evaluation.Results There were no significant differences in mean score and the detection rate of anxiety between the two groups be-fore discharge.The course of disease and social support received were independent influencing factors for anxiety.After 3 months,compared with the control group,the mutual-help group had significantly lower mean score[(37.2±9.5)vs(33.2±8.7),P=0.004]and detection rate of anxiety(29.6%vs 20.3%,P=0.034).Conclusion Patients with cervi-cal vertigo have marked anxious emotion,and the course of disease and social support are independent influencing factors.The rehabilitation mutual-help group based on WeChat platform can help to alleviate anxious emotion and facilitate the psy-chological recovery of patients with cervical vertigo.
6.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.
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.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.

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