1.Inflamed dental pulp stem cells:initial research and future development
Huaxiang ZHAO ; Shanmei ZHAO ; Xin XIN ; Bo ZHANG ; Ninghu MA ; Mujia LI ; Mengqi ZHANG ; Ang LI
Chinese Journal of Tissue Engineering Research 2014;(23):3756-3761
BACKGROUND:Inflamed dental pulp stem cells are a new kind of dental pulp stem cells, and there is no systematic review on the cells by now. OBJECTIVE:To systematical y review the research progress in inflamed dental pulp stem cells. METHODS:A computer-based online search in PubMed, Web of Science, CNKI, WanFang and VIP databases was performed for related articles published from the establishment of the databases to February 2014. The keywords were“(pulptis or inflam*dental pulp*or human dental pulp with irreversible pulpitis) and stem cel*”in English and Chinese, respectively. Hand searching was also done to obtain further information or papers about the studies. The results were qualitatively analyzed to comprehensively summarize the progress in the research of inflamed dental pulp stem cells. RESULTS AND CONCLUSION:Total y 11 papers were involved in result analysis that comprehensively review the research progress in inflamed dental pulp stem cells at the fol owing aspects:the research of history, material origin, cellculture, cel-surface markers, proliferation ability, multi-directional differentiation potential, animal models and clinical use. Researches of inflamed dental pulp stem cells are stil in the initial stage, and cultivating conditions and the establishment of animal models are stil in the exploratory phase. Controversies stil exist in the capacity of proliferation and multi-directional differentiation of the inflamed dental pulp stem cells. And fewer studies have been done in the characteristics of immunity, subpopulation and clinical use of the inflamed dental pulp stem cells.
2.Expression of Dab2 in different adrenocortical adenomas
Min ZHANG ; Ping LI ; Xinjue DAI ; Shanmei SHEN ; Xiaozhi ZHAO ; Qi SUN ; Jun CHEN ; Dalong ZHU
Chinese Journal of Endocrinology and Metabolism 2015;(2):127-132
Objective To determine the expression and distribution of Disabled-2(Dab2) in normal human adrenal glands, and further to study the expression of Dab2 in tissues of different adrenocortical adenomas, and to elucidate whether Dab2 can be a specific molecular marker in the pathology of primary aldosteronism. Methods Real-time PCR and immunohistochemical staining were used to detect Dab2 expression in 10 aldosterone-producing adenoma (APA) samples, 8 cortisol-producing adenoma ( CPA) samples, 8 non-functioning adenoma ( NFA) samples and 6 normal adrenal samples. Results Immunohistochemical staining showed that Dab2 was significantly highly expressed in zona glomerulosa of normal human adrenal glands. Sporadical cluster of ZG cells with moderate Dab2 staining were demonstrated in APAs. In all CPA and NFA tumors, weak dab2 staining was detected. According to the results of real-time PCR, Dab2 mRNA expression was increased significantly in APAs compared with normal adrenal glands. There was no significant difference between normal adrenal glands, CPAs, and NFAs in regard to Dab2 mRNA expression. Compared to nontumor portions, APAs also showed higher Dab2 mRNA expression in the tumor( P<0. 05). Conclusion Dab2 was predominantly localized in zona glomerulosa in normal adrenal gland. Increased Dab2 mRNA expression was detected in APAs compared with normal adrenal glands. Whereas, Dab2 protein expression was just moderate increased in APAs. Weather Dab2 can be a specific molecular marker in the pathology of primary aldosteronism has to be further studied.
3.Effects of fuzheng quxie granule on immune cells and cytokines in populations with respiratory viral infection.
Jing-cheng DONG ; Yu-hua LIU ; Zhao-hua GONG ; Xiaohui DONG ; Jinyu XIE ; Shanmei WU ; Yan CUI ; Rong CAI ; Yanrong HU ; Qinlong NI ; Shichang NI
Chinese Journal of Integrated Traditional and Western Medicine 2005;25(7):616-619
OBJECTIVETo investigate the effect of fuzheng quxie granule (FQG) on immune cells and cytokines in populations with respiratory viral infection.
METHODSFifty-nine patients were randomly divided into 3 groups, that is, 19 patients treated with conventional western medicine (WM) plus FQG in the treated group, 19 patients treated with conventional western medicine alone in the WM group, and 21 patients treated with FQG alone in the TCM group. The levels of T lymphocyte subsets, interleukine-2,4,6,10 (IL-2, IL-4, IL-6, IL-10), tumor necrosis factor-alpha (TNF-alpha), interferon-gamma (INF-gamma) and Th1/Th2 were determined before treatment, and at the end of 1st and 2nd week of treatment respectively.
RESULTSBefore treatment, levels of TNF-alpha, IL-2, IL-6, IL-10 and INF-gamma in all patients were significantly higher than normal range (P < 0.05). After being treated for 1 week, the levels of serum TNF-alpha, IL-6, and IL-10 were significantly decreased in all groups (P < 0.05), serum IL-2 and INF-gamma decreased to the normal level in the WM group, but in the treated and the FQG group by the end of the 2nd week, the two indexes still remained at the rather higher level (P < 0.05). The ratio of Th1 and Th2 in the treated group and the FQG group increased significantly by the end of 2nd week, reached the level higher than that in the WM group and that before treatment (P < 0.05). No significant difference in, T lymphocytes subsets (CD3+ , CD4+ , CD8+) and percentage of B and NK cells before and after treatment was found in all the 3 groups.
CONCLUSIONFQG can positively regulate the immune function of patients with respiratory tract viral infection in certain degree.
Adult ; Aged ; Drugs, Chinese Herbal ; therapeutic use ; Female ; Humans ; Interleukin-10 ; blood ; Interleukin-6 ; blood ; Killer Cells, Natural ; immunology ; Male ; Middle Aged ; Phytotherapy ; Respiratory Tract Infections ; drug therapy ; immunology ; virology ; T-Lymphocyte Subsets ; immunology ; Tumor Necrosis Factor-alpha ; metabolism ; Virus Diseases ; drug therapy ; immunology
4.Prognostic prediction value of quantitative digital subtraction angiography parameters after mechanical thrombectomy in patients with acute ischemic stroke with large vessel occlusion in the anterior circulation of different etiology
Kangmo HUANG ; Rui LIU ; Juan DU ; Weihe YAO ; Mingming ZHA ; Shanmei QIN ; Yan XU ; Wusheng ZHU ; Qingshi ZHAO ; Xinfeng LIU
Chinese Journal of Neurology 2023;56(6):637-645
Objective:To explore the prognostic prediction value of quantitative digital subtraction angiography (DSA) parameters in patients with acute anterior circulation ischemic stroke undergoing mechanical thrombectomy, and whether the clinical values vary by stroke etiology.Methods:This study was a post hoc analysis of the Multicenter Prospective Captor Trial. Patients with acute anterior circulation large-vessel occlusion and successful recanalization from April 2018 to July 2019 were screened. Post-processing analysis was performed on the DSA imaging sequence after recanalization, and 4 regions of interest (ROI) were selected in the target vessel: ROI1 (the proximal of the internal carotid artery-C2 segment), ROI2 (the starting point of the internal carotid artery-C7 segment), ROI3 (the end of the middle cerebral artery-M1 segment), and ROI4 (the end of the middle cerebral artery-M2 segment). Time to peak (TTP) was defined as the time at contrast concentration of selected ROI reached its maximum. Relative TTP (rTTP) was calculated by subtracting the TTP of ROI1 from the TTP of distalis ROIs. Successful recanalization was defined as modified Thrombolysis In Cerebral Infarction (mTICI) grade≥2b. Favorable outcomes at 3 months were defined as the modified Rankin Scale score≤2. According to the modified Rankin Scale score, the patients were divided into good prognosis group and poor prognosis group. The differences in clinical characteristics, postoperative hemodynamic parameters, and other data were compared between patients with good and poor prognoses. Univariate and multivariate Logistic regression was used to analyze factors related to a good prognosis. Finally, the prognostic prediction value of hemodynamic parameters was analyzed in patients with different Trial of Org10172 in Acute Stroke Treatment etiological classifications.Results:A total of 245 patients were collected, of which 161 patients [age 69 (60, 76) years, 92 (57.1%) male] were finally included in the analysis, including 36 cases of large artery atherosclerosis (LAA) stroke, 76 cases of cardiogenic embolism (CE), and 49 cases of other causes of stroke. Seventy-one (44.1%) patients had favorable outcomes at 3 months. The post-operative hemodynamic analysis indicated that patients with favorable outcomes ( n=71) had a higher proportion of mTICI grade 3 [54/71 (76.1%) vs 41/90 (45.6%),χ 2=15.26, P<0.001] and lower rTTP 31 [means TTP ROI3-TTP ROI1;0.33 (0.23, 0.54) s vs 0.47 (0.31, 0.65) s, Z=-2.71, P=0.007] than patients with unfavorable outcomes ( n=90). The mTICI score and rTTP 31 were respectively included in multivariate Logistic regression models. It was shown that mTICI grade 3 (adjusted OR=5.97, 95% CI 2.49-14.27, P<0.001) and rTTP 31 (adjusted OR=0.24, 95% CI 0.06-0.99, P=0.048) were significantly associated with favorable outcomes, and the area under the receiver operating characteristic curve of the models had no statistically significant difference ( P=0.170). Subgroup analysis showed that rTTP 31 was significantly associated with the prognosis of patients with LAA stroke ( OR=0, 95% CI 0-0.25, P=0.014), while mTICI grade was associated with the prognosis of patients with CE ( OR=3.91, 95% CI 1.40-10.91, P=0.009) and other etiologies ( OR=7.35, 95% CI 1.92-28.14, P=0.004). Conclusions:In patients with acute anterior circulation ischemic stroke and successful recanalization, both mTICI score and rTTP 31 had significant predictive value for favorable outcomes at 3 months. Moreover, rTTP 31 was significantly associated with the prognosis of patients with LAA stroke, while mTICI score was significantly related to the prognosis of patients with CE and other causes of stroke.
5.Effect of Diffuse Glioma with Precentral Gyrus Invasion on Interhemispheric Brain Activation: A Task-based FMRI Study
Shanmei ZENG ; Jing ZHAO ; Jianping CHU
Journal of Sun Yat-sen University(Medical Sciences) 2024;45(1):100-107
ObjectivesTo explore the effect of diffuse glioma with precentral-gyrus invasion on fMRI activation maps by grasping T-fMRI. MethodsA total of 56 diffuse glioma patients were divided into precentral-gyrus invasion (PGI: n=21) and precentral-gyrus non-invasion (PGNI: n=35) groups. Three statistical thresholds (P value: 10-4, P1; 10-6, P2; 10-8, P3) were set to obtain the activation maps accordingly (V1, V2 and V3). The interhemispheric and bilateral precentral gyrus activation volumes ratios (IAVR and PAVR) were calculated, respectively. The activation volumes [△V1=V1-V2; △V2=V2-V3; △Vn (ipsilateral)/△Vn’ (contralateral), n=1, 2] within two statistical thresholds and the corresponding interhemispheric ratio was further compared. In addition, the associations of tumor characteristics with IAVR and PAVR were analyzed. ResultsCompared with PGNI, PGI showed significantly decreased IAVR at p1, and the same trends of PAVR in PGI at P1 and P2 (P<0.05). However, neither IAVR nor PAVR showed significant differences at P3. PGI showed significantly lower ratios of △V1/△V1’ than PGNI (P=0.02), except for △V2/△V2’. Additionally, within PGI, PAVR was negatively correlated with tumor volume (P=0.043), and the distance from the tumor to the hand-knob was positively correlated with the IAVR and PAVR (P<0.05). ConclusionDiffuse glioma invading eloquent areas tended to affect interhemispheric asymmetry of activation at relatively lower statistical thresholds than diffuse glioma without invasion, rather than stricter statistical thresholds. Multiple ranges of statistical thresholds were recommended to analyze T-fMRI.
6.Antimicrobial resistance profile of clinical isolates in hospitals across China: report from the CHINET Surveillance Program, 2017
Fupin HU ; Yan GUO ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Jilu SHEN ; 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 ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Dawen GUO ; Jinying ZHAO ; Wenen LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Kaizhen WEN ; Yirong ZHANG ; Xuesong XU ; Chao YAN ; Hua YU ; Xiangning HUANG ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Hongyan ZHENG ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2018;18(3):241-251
Objective To investigate the antimicrobial resistance profile of the clinical isolates collected from selected hospitals across China. Methods Twenty-nine general hospitals and five children's hospitals were involved in this program. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems. Results were interpreted according to CLSI 2017 breakpoints. Results A total of 190 610 clinical isolates were collected from January to December 2017, of which gram negative organisms accounted for 70.8% (134 951/190 610) and gram positive cocci 29.2% (55 649/190 610). The prevalence of methicillin-resistant strains was 35.3% in S. aureus (MRSA) and 80.3% in coagulase negative Staphylococcus (MRCNS) on average. MR strains showed much higher resistance rates to most of the other antimicrobial agents than MS strains. However, 91.6% of MRSA strains were still susceptible to trimethoprim-sulfamethoxazole, while 86.2% of MRCNS strains were susceptible to rifampin. No staphylococcal strains were found resistant to vancomycin. E. faecalis strains showed much lower resistance rates to most of the drugs tested (except chloramphenicol) than E. faecium. Vancomycin-resistant Enterococcus (VRE) was identified in both E. faecalis and E. faecium. The identified VRE strains were mainly vanA, vanB or vanM type based on phenotype or genotype. The proportion of PSSP or PRSP strains in the non-meningitis S.pneumoniae strains isolated from children decreased but the proportion of PISP strains increased when compared to the data of 2016. Enterobacteriaceae strains were still highly susceptible to carbapenems. Overall, less than 10% of these strains (excluding Klebsiella spp.) were resistant to carbapenems. The prevalence of imipenem-resistant K. pneumoniae increased from 3.0% in 2005 to 20.9% in 2017, and meropenem-resistant K. pneumoniae increased from 2.9% in 2005 to 24.0% in 2017, more than 8-fold increase. About 66.7% and 69.3% of Acinetobacter (A. baumannii accounts for 91.5%) strains were resistant to imipenem and meropenem, respectively. Compared with the data of year 2016, P. aeruginosa strains showed decreasing resistance rate to carbapenems. Conclusions Bacterial resistance is still on the rise. It is necessary to strengthen hospital infection control and stewardship of antimicrobial agents. The communication between laboratorians and clinicians should be further improved in addition to surveillance of bacterial resistance.
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.