1.Influence of Gene Mutation on the Effectiveness of Arsenic-Containing Herbal Compound Formula in Treatment of Myelodysplastic Syndromes of Different TCM Patterns
Zichun WANG ; Zhuo CHEN ; Dexiu WANG ; Haiyan XIAO ; Weiyi LIU ; Ruibai LI ; Chi LIU ; Fengmei WANG ; Shanshan ZHANG ; Mingjing WANG ; Liu LI ; Xiaoqing GUO ; Hongzhi WANG ; Xudong TANG
Journal of Traditional Chinese Medicine 2025;66(14):1463-1472
ObjectiveTo observe the effect of gene mutation on the effectiveness of arsenic-containing Chinese herbal compound formulas in the treatment of myelodysplastic syndromes (MDS) of different traditional Chinese medicine (TCM) patterns, so as to provide the basis for the clinical application. MethodsClinical data of 442 MDS patients who were treated with arsenic-containing herbal compound formulas were retrospectively collected, including the baseline demographic and clinical characteristics of the patients. Based on the TCM four examinations, the patients were divided into the spleen-kidney deficiency group as well as the qi-yin deficiency group, and according to the results of the next-generation sequencing (NGS) test, they were divided into the group with and without gene mutation respectively. The influence of gene mutation on the clinical effectiveness of patients with different TCM patterns was analyzed, the baseline demographic and clinical characteristics of the patients with different outcomes of the two TCM patterns were compared, and multivariate Logistic regression analysis was conducted on the influencing factors of the effective rate of MDS patients with gene mutation. ResultsA total of 190 cases were included in the spleen-kidney deficiency group (119 cases with gene mutation) and 43 cases in the qi-yin deficiency group (23 cases with gene mutation). No statistically significant differences were noted in effectiveness assessment, total effective rate, and total response rate between the spleen-kidney deficiency group and the qi-yin deficiency group (P>0.05). In the spleen-kidney deficiency group, the total effective rate of MDS with gene mutation was 65.55% (78/119), which was lower than 80.28% (57/71) of MDS without gene mutation, with statistical significance (P = 0.033), while no statistical differences in effectiveness assessment and total response rate were noted (P>0.05). In the qi-yin deficiency group, no statistical differences were observed in effectiveness assessment, total effective rate, and total response rate of the patients in with or without gene mutation (P>0.05). In the spleen-kidney deficiency group with gene mutation, the rate of complex karyotype (P = 0.031) and the mutation rate of CBL gene (P = 0.032) in the ineffective population were higher than those in the effective population, while the mutation rate of DDX41 gene in the effective population was higher than that in the ineffective population (P = 0.033). No statistically significant differences were found in other gene mutations, age, gender distribution, number of gene mutations, bone marrow hyperplasia degree, blast cell range, reticular fiber tissue proliferation or not, and prognosis of chromosomal abnormalities between the effective and ineffective populations (P>0.05). In the qi-yin deficiency group with gene mutation, no statistically significant differences were found in various items between populations with different outcomes (P>0.05). Multivariate Logistic regression analysis showed that complex karyotype, CBL mutation, and DDX41 mutation were independently associated with the effective rate of MDS with spleen-kidney deficiency and gene mutation (P<0.05). DDX41 mutation was an independent protective factor in the spleen-kidney deficiency group (OR>1), while complex karyotype and CBL mutation were independent risk factors (OR<1). ConclusionThe arsenic-containing TCM compound formulas exhibited better effectiveness in MDS with spleen-kidney deficiency pattern without mutation; and in MDS with spleen-kidney deficiency pattern without complex karyotypes, CBL mutation, and with DDX41 mutations. Furthermore, DDX41 mutation was an independent protective factor in the spleen-kidney deficiency group, while complex karyotype and CBL mutation were independent risk factors. In MDS with qi-yin deficiency pattern, gene mutation-related factors showed no significant impact on the effectiveness of arsenic-containing TCM compound formulas.
2.Comparison of glucose fluctuation between metformin combined with acarbose or sitagliptin in Chinese patients with type 2 diabetes: A multicenter, randomized, active-controlled, open-label, parallel design clinical trial.
Xiaoling CAI ; Suiyuan HU ; Chu LIN ; Jing WU ; Junfen WANG ; Zhufeng WANG ; Xiaomei ZHANG ; Xirui WANG ; Fengmei XU ; Ling CHEN ; Wenjia YANG ; Lin NIE ; Linong JI
Chinese Medical Journal 2025;138(9):1116-1125
BACKGROUND:
Alpha-glucosidase inhibitors or dipeptidyl peptidase-4 inhibitors are both hypoglycemia agents that specifically impact on postprandial hyperglycemia. We compared the effects of acarbose and sitagliptin add on to metformin on time in range (TIR) and glycemic variability (GV) in Chinese patients with type 2 diabetes mellitus through continuous glucose monitoring (CGM).
METHODS:
This study was a randomized, open-label, active-con-trolled, parallel-group trial conducted at 15 centers in China from January 2020 to August 2022. We recruited patients with type 2 diabetes aged 18-65 years with body mass index (BMI) within 19-40 kg/m 2 and hemoglobin A1c (HbA1c) between 6.5% and 9.0%. Eligible patients were randomized to receive either metformin combined with acarbose 100 mg three times daily or metformin combined with sitagliptin 100 mg once daily for 28 days. After the first 14-day treatment period, patients wore CGM and entered another 14-day treatment period. The primary outcome was the level of TIR after treatment between groups. We also performed time series decomposition, dimensionality reduction, and clustering using the CGM data.
RESULTS:
A total of 701 participants received either acarbose or sitagliptin treatment in combination with metformin. There was no statistically significant difference in TIR between the two groups. Time below range (TBR) and coefficient of variation (CV) levels in acarbose users were significantly lower than those in sitagliptin users. Median (25th percentile, 75th percentile) of TBR below target level <3.9 mmol/L (TBR 3.9 ): Acarbose: 0.45% (0, 2.13%) vs . Sitagliptin: 0.78% (0, 3.12%), P = 0.042; Median (25th percentile, 75th percentile) of TBR below target level <3.0 mmol/L (TBR 3.0 ): Acarbose: 0 (0, 0.22%) vs . Sitagliptin: 0 (0, 0.63%), P = 0.033; CV: Acarbose: 22.44 ± 5.08% vs . Sitagliptin: 23.96 ± 5.19%, P <0.001. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV (group with small wave, moderate wave and big wave). No significant difference was found in the complexity of glucose time series index (CGI) between acarbose users and sitagliptin users. By using time series analysis and clustering, we distinguished three groups of patients with representative metabolism characteristics, especially in GV.
CONCLUSIONS:
Acarbose had slight advantages over sitagliptin in improving GV and reducing the risk of hypoglycemia. Time series analysis of CGM data may predict GV and the risk of hypoglycemia.
TRIAL REGISTRATION
Chinese Clinical Trial Registry: ChiCTR2000039424.
Humans
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Metformin/therapeutic use*
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Sitagliptin Phosphate/therapeutic use*
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Acarbose/therapeutic use*
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Diabetes Mellitus, Type 2/blood*
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Middle Aged
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Male
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Female
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Adult
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Blood Glucose/drug effects*
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Hypoglycemic Agents/therapeutic use*
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Aged
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Glycated Hemoglobin/metabolism*
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Adolescent
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Young Adult
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China
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East Asian People
3.In vitro cultured calculus bovis alleviates cerebral ischemia/reperfusion injury through regulating microglial polarization and inhibiting NLRP3.
Tanlu CHU ; Wei ZHANG ; Jingwen CHEN ; Zeyue PAN ; Lingfeng WANG ; Xiaoming ZHONG ; Fengmei QIU ; Zhen HUANG
Journal of Zhejiang University. Medical sciences 2025;54(3):360-371
OBJECTIVES:
To investigate the effect of in vitro cultured calculus bovis (ICCB) on cerebral ischemia/reperfusion injury (CIRI) and its mechanism.
METHODS:
A CIRI rat model and a cell model were induced by middle cerebral artery occlusion (MCAO) in Sprague Dawley rats and oxygen glucose deprivation/reperfusion (OGD/R) in BV2 cells, respectively. The CIRI rat model was evaluated using the modified neurological severity score (mNSS), brain water content, and cerebral infarction volume after 1.5 h of ischemia followed by 72 h of reperfusion. Histopathological changes in the cortex and hippocampal CA1 region were observed with hematoxylin and eosin staining. Microglial polarization and NOD-like receptor thermal protein domain associated protein (NLRP) 3 inflammasome expression in the cortex were examined by immunofluorescence. BV2 cell viability was measured via MTT assay after treatment with ICCB and Nigericin. The expressions of NLRP3, ASC, caspase-1 proteins and inflammatory cytokines were detected with Western blotting in OGD/R treated BV2 cells (0.5 h OGD+24 h reperfusion) and in cells pretreated with Nigericin for 24 h.
RESULTS:
ICCB treatment significantly improved neurological function, reduced cerebral infarct volume and brain water content, and mitigated pathological damage in the cortical and hippocampal CA1 regions of rats subjected to CIRI (all P<0.05). ICCB promoted the transition of cortical microglia from M1 to M2 phenotypes and suppressed NLRP3 activation in microglial cells (all P<0.01). ICCB significantly down-regulated the expression of NLRP3, ASC, and caspase-1 proteins, and reduced the secretion of IL-18 and IL-1β in BV2 cells of OGD/R model (all P<0.01). In addition, Nigericin significantly reversed the salvage effect of ICCB on model cells (both P<0.01) and the modulation of inflammatory cytokines (P<0.05).
CONCLUSIONS
ICCB exerts a protective effect against CIRI by mitigating neuroinflammation, through the reduction of M1 microglial polarization, promotion of M2 conversion, and suppression of the NLRP3/ASC/caspase-1 signaling pathway.
Animals
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Rats, Sprague-Dawley
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Reperfusion Injury/prevention & control*
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Microglia/metabolism*
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Rats
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NLR Family, Pyrin Domain-Containing 3 Protein
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Brain Ischemia/metabolism*
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Male
4.The Supplementary Motor Area as a Flexible Hub Mediating Behavioral and Neuroplastic Changes in Motor Sequence Learning: A TMS and TMS-EEG Study.
Jing CHEN ; Yanzi FAN ; Xize JIA ; Fengmei FAN ; Jinhui WANG ; Qihong ZOU ; Bing CHEN ; Xianwei CHE ; Yating LV
Neuroscience Bulletin 2025;41(5):837-852
Attempts have been made to modulate motor sequence learning (MSL) through repetitive transcranial magnetic stimulation, targeting different sites within the sensorimotor network. However, the target with the optimum modulatory effect on neural plasticity associated with MSL remains unclarified. This study was therefore designed to compare the role of the left primary motor cortex and the left supplementary motor area proper (SMAp) in modulating MSL across different complexity levels and for both hands, as well as the associated neuroplasticity by applying intermittent theta burst stimulation together with the electroencephalogram and concurrent transcranial magnetic stimulation. Our data demonstrated the role of SMAp stimulation in modulating neural communication to support MSL, which is achieved by facilitating regional activation and orchestrating neural coupling across distributed brain regions, particularly in interhemispheric connections. These findings may have important clinical implications, particularly for motor rehabilitation in populations such as post-stroke patients.
Humans
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Transcranial Magnetic Stimulation
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Motor Cortex/physiology*
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Male
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Electroencephalography
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Neuronal Plasticity/physiology*
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Female
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Adult
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Evoked Potentials, Motor/physiology*
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Young Adult
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Learning/physiology*
5.Polymorphic BolA Ⅰα1α2 binds to constant chains and co-locates in eukaryotic cells
Fangfang CHEN ; Fengmei YU ; Cuiyan LIU ; Yaping GUI ; Jinchun LI
Chinese Journal of Immunology 2024;40(1):72-77
Objective:To demonstrate the polymorphism of α chain of bovine major histocompatibility complex(BoLA)classⅠmolecule and domain binding constant chain(Ii).Methods:Total 75 BoLA Iα genes were obtained from three Huaibei cattle and analyzed by molecular biology software;the genes of typical BoLA Iα domains and Ii were cloned,and then inserted into prokaryotic expression plasmid.After induced protein expression;the domains of BoLA Ⅰα chain binding to Ii were detected by pull-down meth-od and Western blot.The recombinant eukaryotic expression plasmids were constructed and the co-localization of BoLA Iα segments with Ii was observed by laser confocal microscopy.Results:Firstly,it was found that there were at least 5 kinds of BoLA Iα in the cloned gene sequence,which were highly polymorphic and they were mainly distributed in the antigen peptide binding region(PBR)of BoLA Ⅰ(α1α2)and cytoplasmic region.Secondly,the prokaryotic recombinant plasmids containing BoLA Ⅰα1α2α3,BoLA Ⅰα1α2 or BoLA Ⅰα 3 were constructed,then they were respectively induced to express and purified,in which,the BoLA Ⅰα1α2α3 and BoLA Ⅰα1α2 had the activity of binding to Ii.Finally,in 293T cells BoLA Ⅰα1α 2α3 or BoLA Ⅰα1α2 was found that could co-localize with Ii,while a single BoLA Ⅰα3 could not.Conclusion:BoLA Ⅰα gene is highly polymorphic.BoLA Ⅰα1α2 is a func-tional fragment that binds to Ii and co-locates intracellular.
6.The role of tofacitinib in early atherosclerosis in mice with systemic lupus erythematosus
Qu CHEN ; Fengmei GE ; Zhao LI ; Qiushuang ZHANG ; Xue WU ; Qi CHEN ; Saiqi LI ; Xuebin WANG ; Xiuqing YAN
Chinese Journal of Rheumatology 2024;28(2):106-112
Objective:To investigate the effect of tofacitinib on early atherosclerosis of patients with systemic lupus erythematosus and explore the possible relationship between lupus nephritis and early atherosclerosis of systemic lupus erythematosus.Methods:Sixteen 8-week-old female MRL/lpr mice with a body weight of 20~25 g were selected and randomly divided into the treatment group and placebo group, with 8 mice in each group. The treatment group diluted tofacitinib by normal saline, and given at a dose of 10 mg·kg -1·d -1, and the placebo group (starch tablets) administered the medication in the same way as the treatment group for a total of 8 weeks. The ELISA method was applied to detect serum anti-dsDNA antibody levels in the two groups of mice. Bradford method protein concentration was used to determine the level of urine protein in mice. Automatic biochemical analyzer was used to detect blood lipids, urea nitrogen, serum creatinine, complement C3, complement C4 levels. Western blotting was used to determine the protein expression levels of monocyte chemoattractant protein-1 (MCP-1), non-receptor protein tyrosine kinase family 1 (JAK1), signal transducer and activator of transcription 1 (STAT1) and signal transducer and activator of transcription 2 (STAT2) in aortic and kidney tissues. After the aortic arch section were prepared, oil red O was used to stain the sections, and the vascular plaque area and intimal thickness were evaluated by ImageJ software. The kidneys were dissected and stained with HE, and the active lesions of lupus nephritis were evaluated using the glomerular activity scoring system. SPSS 23.0 software was used for statistical analysis, in which the between-group comparison was performed using two independent samples t-test, and the correlation analysis was performed using the Spearman method. Results:①The serum anti-dsDNA antibody expression level in the treatment group [(5.2±1.0) U/ml] was lower than that in the placebo group [(6.9±1.2) U/ml], ( Z=-3.07, P=0.008), and the levels of complement C3 and complement C4 were higher than those in the placebo group [(293±10) mg/L vs. (260±19) mg/L, Z=2.72, P=0.017]; (16±6) mg/L vs. (8±9) mg/L, Z=3.78, P=0.006]. There was no significant difference in serum BUN and Scr between the treatment group and the placebo group [(10.6±0.7) mmol/L vs. (11.5±1.1) mmol/L, Z=-1.96, P=0.071; (17±5) μmol/L vs. (22±6) μmol/L, Z=-1.79, P=0.095]. ② Compared with the placebo group, the levels of LDL, TC and TG in the treatment group decreased [(0.83±0.15) mmol/L vs. (1.08±1.05) mmol/L, Z=-3.95, P=0.001; (2.90±0.08) mmol/L vs. (1.81±0.97) mmol/L, Z=-5.17, P=0.001; (1.10±0.08) mmol/L vs. (1.60±0.42) mmol/L, Z=-3.23, P=0.013], and HDL level increased [(2.02±0.99) mmol/L vs. (1.81±0.97) mmol/L, Z=4.42, P=0.001]. ③ Compared with the placebo group, the levels of aortic MCP-1, JAK1, STAT1 and STAT2 in the treatment group were reduced [(0.17±0.30) vs. (0.23±0.05), Z=-3.06, P=0.009; (0.83±0.09) vs. (1.05±0.19), Z=-3.07, P=0.008; (0.77±0.07) vs. (0.94±0.13), Z=-2.83, P=0.014; (0.70±0.07) vs. (0.82±0.09), Z=-2.83, P=0.013], the aortic plaque area and aortic intimal thickness were lower than those in the placebo group [(12±31) μm 2vs. (1 242±1 101) μm 2, Z=-3.12, P=0.016; (63±7) μm vs. (82.10±8.06) μm, Z=-5.13, P<0.001]. ④ Compared with the placebo group, the urine protein level and glomerulonephritis activity score in the treatment group were decreased [(0.08±0.03) mg/mL vs. (0.20±0.11) mg/mL, Z=-3.08, P=0.015; (1.79±0.38) vs. (2.79±0.14) points, Z=-7.08, P<0.001)], and renal tissue MCP-1, JAK1, STAT1.Compared with the placebo group, STAT2 levels were reduced [(0.364±0.040) vs. (0.425±0.021), Z=-3.85, P=0.003; (0.689±0.074) vs. (0.838±0.068), Z=-4.19, P=0.001; (0.508±0.070) vs. (0.646±0.019), Z=-2.85, P=0.015; (0.618±0.062) vs. (0.740±0.101), Z=-2.94, P=0.013. ⑤ The glomerular mobility scores of the two groups were positively correlated with LDL, TCHO, TG, aortic plaque area and aortic intimal thickness ( r=0.51, P=0.043; r=0.79, P<0.001; r=0.64, P=0.008; r=0.82, P<0.001; r=0.74, P=0.001), and negatively correlated with HDL ( r=-0.53, P=0.036). The urine protein levels in the two groups were positively correlated with LDL, TC, TG, aortic plaque area and aortic intimal thickness ( r=0.67, P=0.004; r=0.68, P=0.004; r=0.53, P=0.033; r=0.80, P<0.001; r=0.74, P=0.001), and negatively correlated with HDL ( r=-0.57, P=0.021). Conclusion:The severity of lupus nephritis is correlated with atherosclerosis and dyslipidemia in the early stage of systemic lupus erythematosus. Tofacitinib may reduce the degree of early arteriosclerosis and lupus nephritis in MRL/LPR mice, and reduce blood lipid levels, which may be effective in improving the prognosis of SLE and improving the survival rate of patients.
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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