1.Correlation between Serum FGF-23, HPSE Levels and Early Renal Impairment in Patients with Multiple Myeloma.
Li-Fang MA ; Yan YUN ; Yan-Qi LIU ; Xue-Qin BAI ; Wen-Juan NI ; Zhi-Qin LI ; Yan LU ; Zhe LI ; Jing LI ; Guo-Rong JIA
Journal of Experimental Hematology 2025;33(3):822-827
OBJECTIVE:
To investigate the relationship between serum levels of fibroblast growth factor-23 (FGF-23), heparanase (HPSE) and early renal impairment (RI) in patients with multiple myeloma (MM).
METHODS:
A retrospective analysis was conducted on the clinical data of 125 MM patients who were initially diagnosed in the Department of Hematology of the First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology from June 2020 to June 2023. The patients were divided into RI group (>176.80 μmol/L) and non-RI group (≤176.80 μmol/L) based on their serum creatinine levels when diagnosed. The baseline data and laboratory indexes of the two groups were compared. The relationship between serum FGF-23, HPSE and early RI in MM patients was analyzed.
RESULTS:
Among 125 newly diagnosed MM patients, 33 cases developed early RI, accounting for 26.40%. The proportion of light chain type, blood urea nitrogen (BUN), blood uric acid, lactate dehydrogenase, FGF-23, and HPSE levels in RI group were higher than those in non-RI group (all P <0.05). There was no statistical significant difference in other data between the two groups (P >0.05). Multivariate logistic regression analysis showed that BUN, FGF-23 and HPSE were associated with early RI in MM patients (all P <0.05). The serum FGF-23 level was divided into Q1-Q4 groups by quartile, and the serum HPSE level was divided into q1-q4 groups. The correlation analysis showed that with the increase of serum FGF-23 and HPSE levels, the incidence of early RI increased (r =0.668, 0.592). Furthermore, logistic regression analysis showed that after controlling for confounding factors, elevated levels of serum FGF-23 and HPSE were still influencing factors for early RI in MM patients (OR>1, P <0.05). According to Pearson's linear correlation test, there was a positive correlation between serum FGF-23 level and HPSE level (r =0.373).
CONCLUSION
There is a certain correlation between serum levels of FGF-23, HPSE and early RI in MM patients, and the incidence of early RI is higher in patients with abnormally high levels of both.
Humans
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Multiple Myeloma/complications*
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Fibroblast Growth Factor-23
;
Retrospective Studies
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Fibroblast Growth Factors/blood*
;
Glucuronidase/blood*
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Male
;
Female
;
Middle Aged
;
Renal Insufficiency/blood*
;
Aged
2.Correction to: A Virtual Reality Platform for Context-Dependent Cognitive Research in Rodents.
Xue-Tong QU ; Jin-Ni WU ; Yunqing WEN ; Long CHEN ; Shi-Lei LV ; Li LIU ; Li-Jie ZHAN ; Tian-Yi LIU ; Hua HE ; Yu LIU ; Chun XU
Neuroscience Bulletin 2025;41(5):932-932
3.Microbiome, metabolome, and transcriptome analyses in esophageal squamous cell carcinoma: insights into immune modulation by F. nucleatum.
Xue ZHANG ; Jing HAN ; Yudong WANG ; Li FENG ; Zhisong FAN ; Yu SU ; Wenya SONG ; Lan WANG ; Long WANG ; Hui JIN ; Jiayin LIU ; Dan LI ; Guiying LI ; Yan LIU ; Jing ZUO ; Zhiyu NI
Protein & Cell 2025;16(6):491-496
4.Influence of PVE and PVE combined with TACE on secondary hepatectomy and prognosis of hepatocellular carcinoma
Junsheng NI ; Yao LI ; Xue LIU ; Guojun HOU ; Linghao ZHAO ; Yuan YANG ; Yefa YANG ; Weiping ZHOU
Chinese Journal of Digestive Surgery 2024;23(2):257-264
Objective:To investigate the influencing of portal vein embolization (PVE) and PVE combined with transcatheter arterial chemoembolization (TACE) on secondary hepatectomy and prognosis of patients with initially unresectable hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 102 patients with initially unresectable HCC who were admitted to the Third Affiliated Hospital of Naval Medical University from October 26,2015 to December 31,2022 were collected. There were 82 males and 20 females, aged 52(range,25?73)years. Of 102 patients, 72 cases undergoing PVE combined with TACE were set as the PVE+TACE group, and 30 cases undergoing PVE were set as the PVE group. Observation indicators: (1) surgical resection rate of secondary hepatectomy and increase of future liver remnant (FLR); (2) situations of secondary hepatectomy; (3) follow-up. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the Mann-Whitney U test. The Kaplan-Meier method was used to calculate survival rate and draw survival curve, and Log-Rank test was used for survival analysis. Results:(1) Surgical resection rate of secondary hepatectomy and increase of FLR. The surgical resection rate of secondary hepatectomy in the PVE+TACE group and the PVE group were 72.2%(52/72) and 53.3%(16/30), respectively, showing no significant difference between the two groups ( χ2=3.400, P>0.05). The surgical waiting time, increasing volume of FLR, growth rate of FLR in the 52 patients of PVE+TACE group receiving secon-dary hepatectomy were 20(range, 14?140)days, 140(range, 62?424)mL, 9.8(range, 1.5?26.5)mL/day, respectively. The above indicators in the 16 patients of PVE group receiving secondary hepatectomy were 16(range, 12?35)days, 160(range, 95?408)mL, 10.5(range, 1.2?28.0)mL/day, respectively. There was no significant difference in the above indicators between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( Z=1.830, 1.498, 1.266, P>0.05). (2) Situations of secondary hepatectomy. The operation time, rate of tumor necrosis (>90%, 60%?90%,<60%), cases with complications ≥ grade Ⅲa in the 52 patients of PVE+TACE group receiving secondary hepatectomy were 200(range, 125?420)minutes, 8, 4, 40, 28, respectively. The above indicators in the 16 patients of PVE group receiving secondary hepatectomy were 170(range, 105?320)minutes, 0, 0, 16, 4, respectively. There were significant differences in the above indicators between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( Z=2.132, ?2.093, χ2=4.087, P<0.05). (3) Follow-up. Sixty-eight patients who completed the surgery were followed up for 40(range, 10?84)months. The 1-, 3-, 5-year recurrence free survival rate in the 52 patients of PVE+TACE group receiving secondary hepatectomy were 73.0%, 53.3%, 35.4%, respectively. The above indicators in the 16 patients of PVE group were 62.5%, 37.5%, 18.8%, respectively. There was a significant difference in the recurrence free survival rate between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( χ2=4.035, P<0.05). The 1-, 3-, 5-year overall survival rate in the 52 patients of PVE+TACE group receiving secondary hepatectomy were 82.5%, 61.2%, 36.6%, respectively. The above indica-tors in the 16 patients of PVE group receiving secondary hepatectomy were 68.8%, 41.7%,20.8%, respectively. There was a significant difference in the overall survival rate between the 52 patients of PVE+TACE group and the 16 patients of PVE group ( χ2=4.767, P<0.05). Conclusion:Compared with PVE, PVE+TACE as stage Ⅰ surgery can increase the surgical resection rate of secondary hepatec-tomy and the recurrence free survival rate of patients with initially unresectable HCC, prolong the long-term survival time, but not influence the growth rate of FLR.
5.Colorimetric Determination of Antioxidant Capacity by Peroxidase Mimics Based on Ruthenium Nanoparticles Supported on Carbon Nanosheets
Ru-Xue HE ; Peng XU ; Fang-Ning LIU ; Peng-Juan NI ; Yi-Zhong LU
Chinese Journal of Analytical Chemistry 2024;52(1):45-53,中插5-中插13
Lattice strain ruthenium nanoparticles uniformly and stably supported on nitrogen-modified carbon nanosheets(RuNPs/NC)were prepared via simple wet-chemical and subsequent pyrolysis method.The nitrogen doped NC could effectively improve their uniform dispersion and lattice compression of RuNPs.Through changing the pyrolysis temperature,the nitrogen content,types and degree of lattice strain of RuNPs could be effectively tuned,which could be used to adjust and control their peroxidase-like activity.The as-prepared RuNPs/NC-900 exhibited highest peroxidase-like activity,and could catalyze the oxidation of 3,3′,5,5′-tetramethylbenzidine(TMB)to produce a blue product with the maximum absorption at 652 nm in the presence of H2O2.The steady-state kinetic analysis indicated that the reaction catalyzed by RuNPs/NC followed the Michaelis-Menten kinetic model.Tannic acid(TA),gallic acid(GA)and ascorbic acid(AA)could effectively inhibit the RuNPs/NC-H2O2-triggered chromogenic reaction of TMB,resulting in color fading and decrease in absorbance.Based on this,a sensitive and accurate system was constructed for detection of TA,GA and AA.The detection limits(3σ/S)for TA,GA and AA were 0.014,0.014 and 0.29 μmol/L,respectively.This study not only developed a colorimetric sensing method based on RuNPs/NC nanozyme but also offered a new approach for the sensitive detection of antioxidants in food.
6.Effect of Jiuxin Pill (救心丸)on Exercise Tolerance and Quality of Life in Patients of Stable Angina Pectoris:A Randomized,Double-Blind,Placebo-Controlled,Multi-Center Clinical Trial
Xianliang WANG ; Mingjun ZHU ; Daimei NI ; Jianguang WU ; Yitao XUE ; Chenglong WANG ; Xiaohua DAI ; Qian LIN ; Jun LI ; Zhiqiang ZHAO ; Shuai WANG ; Yingfei BI ; Tongzuo LIU ; Zhou ZHOU ; Jingyuan MAO
Journal of Traditional Chinese Medicine 2024;65(24):2549-2557
ObjectiveTo evaluate the effect and safety of Jiuxin Pill (救心丸) on exercise tolerance and quality of life in patients with stable angina pectoris (SAP). MethodsA randomised, double-blind, placebo-controlled, multicentre study design was used to enroll 170 patients of SAP from nine centres, which were divided into 85 patients each in the trial group and control group with 1∶1 ratio. Both groups maintained the original western medicine treatment plan, and added Jiuxin Pill or placebo respectively, 2 pills (0.05 g) each time twicely for 28 days. The main outcomes were total exercise time (TED) in the exercise treadmill test and Seattle Angina Questionnaire (SAQ) scores including physical limitation (PL), angina stability (AS), angina frequency (AF), treatment satisfaction (TS), and disease perception (DP). The secondary outcomes were exercise treadmill test indicators including heart rate recovery in 1 min (HRR1), metabolic equivalents (METs), maximum magnitude of ST-segment depression, and the Borg rating of perceived exertion scale, the average number of angina attacks per week, withdrawal and reduction rate of nitroglycerin, traditional Chinese medicine syndrome scores, incidence of major adverse cardiovascular events. Safety indicators were evaluated and the occurrence of adverse events during the trial was recorded. Data was collected before treatment, day 28±2 in treatment period, and follow-up at day 56 which is 28±2 days after treatment period finished. ResultsEighty-four and eighty-five patients respectively from trial group and control group were included to the full analysis set (FAS) and safety analysis set (SS). Compared with the group before treatment and with the control group after treatment, the trial group had higher TED, HRR1, and METs, and lower maximum magnitude of ST-segment depression and Borg rating of perceived exertion scores after treatment (P<0.01). Compared with the group before treatment and with the control group after treatment and at follow-up, the total SAQ score and scores of AS, AF, TS and DP of the trial group after treatment and at follow-up elevated, while the average number of angina attacks per week and traditional Chinese medicine syndrome scores reduced (P<0.01). There was no statistically significant difference in the withdrawal and reduction rate of nitroglycerin between groups (P>0.05). Major adverse cardiovascular events occurred in 1 case (1/84, 1.19%) in the trial group and 1 case (1/85, 1.18%) in the control group, and the difference between groups was not statistically significant (P>0.05). A total of 3 cases of adverse events occurred in the trial group (3/84, 3.57%), and a total of 6 cases of adverse events occurred in the control group (6/85, 7.06%), and there was no statistically significant difference in the incidence of adverse events between groups (P>0.05). ConclusionIn the treatment of SAP, Jiuxin Pill combined with conventional western medicine can further enhance exercise tolerance, improve quality of life, and demonstrate great safety.
7. Mechanism of ellagic acid improving cognitive dysfunction in APP/PS double transgenic mice based on PI3K/AKT/GSK-3β signaling pathway
Li-Li ZHONG ; Xin LU ; Ying YU ; Qin-Yan ZHAO ; Jing ZHANG ; Tong-Hui LIU ; Xue-Yan NI ; Li-Li ZHONG ; Yan-Ling CHE ; Dan WU ; Hong LIU
Chinese Pharmacological Bulletin 2024;40(1):90-98
Aim To investigate the effect of ellagic acid (EA) on cognitive function in APP/PS 1 double- transgenic mice, and to explore the regulatory mechanism of ellagic acid on the level of oxidative stress in the hippocampus of double-transgenic mice based on the phosphatidylinositol 3-kinase/protein kinase B/glycogen synthase kinase-3 (PI3K/AKT/GSK-3 β) signaling pathway. Methods Thirty-two SPF-grade 6-month-old APP/PS 1 double transgenic mice were randomly divided into four groups, namely, APP/PS 1 group, APP/PS1 + EA group, APP/PS1 + LY294002 group, APP/PS 1 + EA + LY294002 group, with eight mice in each group, and eight SPF-grade C57BL/6J wild type mice ( Wild type) were selected as the blank control group. The APP/PS 1 + EA group was given 50 mg · kg
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.

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