1.Epidemiological analysis of bloodstream isolates in hematology departments across Guangdong, 2020-2024
Yexin LIN ; Ximing CHEN ; Yan ZHANG ; Jiong WANG ; Wenwen LIANG ; Qinhong XIE ; Hualiang CHEN ; Qiuxue DENG ; Xu YANG ; Ningjing LIU ; Yijing WANG ; Mingxin LI ; Yangjin CHEN ; Yating ZHAO ; Nanhao HE ; Jiakang CHEN ; Shunian XIAO ; Chao ZHUO
Chinese Journal of Hematology 2025;46(6):521-529
Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.
2.A practice guideline for therapeutic drug monitoring of mycophenolic acid for solid organ transplants.
Shuang LIU ; Hongsheng CHEN ; Zaiwei SONG ; Qi GUO ; Xianglin ZHANG ; Bingyi SHI ; Suodi ZHAI ; Lingli ZHANG ; Liyan MIAO ; Liyan CUI ; Xiao CHEN ; Yalin DONG ; Weihong GE ; Xiaofei HOU ; Ling JIANG ; Long LIU ; Lihong LIU ; Maobai LIU ; Tao LIN ; Xiaoyang LU ; Lulin MA ; Changxi WANG ; Jianyong WU ; Wei WANG ; Zhuo WANG ; Ting XU ; Wujun XUE ; Bikui ZHANG ; Guanren ZHAO ; Jun ZHANG ; Limei ZHAO ; Qingchun ZHAO ; Xiaojian ZHANG ; Yi ZHANG ; Yu ZHANG ; Rongsheng ZHAO
Journal of Zhejiang University. Science. B 2025;26(9):897-914
Mycophenolic acid (MPA), the active moiety of both mycophenolate mofetil (MMF) and enteric-coated mycophenolate sodium (EC-MPS), serves as a primary immunosuppressant for maintaining solid organ transplants. Therapeutic drug monitoring (TDM) enhances treatment outcomes through tailored approaches. This study aimed to develop an evidence-based guideline for MPA TDM, facilitating its rational application in clinical settings. The guideline plan was drawn from the Institute of Medicine and World Health Organization (WHO) guidelines. Using the Delphi method, clinical questions and outcome indicators were generated. Systematic reviews, Grading of Recommendations Assessment, Development, and Evaluation (GRADE) evidence quality evaluations, expert opinions, and patient values guided evidence-based suggestions for the guideline. External reviews further refined the recommendations. The guideline for the TDM of MPA (IPGRP-2020CN099) consists of four sections and 16 recommendations encompassing target populations, monitoring strategies, dosage regimens, and influencing factors. High-risk populations, timing of TDM, area under the curve (AUC) versus trough concentration (C0), target concentration ranges, monitoring frequency, and analytical methods are addressed. Formulation-specific recommendations, initial dosage regimens, populations with unique considerations, pharmacokinetic-informed dosing, body weight factors, pharmacogenetics, and drug-drug interactions are covered. The evidence-based guideline offers a comprehensive recommendation for solid organ transplant recipients undergoing MPA therapy, promoting standardization of MPA TDM, and enhancing treatment efficacy and safety.
Mycophenolic Acid/administration & dosage*
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Drug Monitoring/methods*
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Humans
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Organ Transplantation
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Immunosuppressive Agents/administration & dosage*
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Delphi Technique
3.In-silico discovery of the hapten-based interaction between idiosyncratic hepatotoxic ingredients of Polygonum multiflorum and HLA-B*35:01
Dake XIAO ; Xu ZHAO ; Xiaoyan ZHAN ; Zhuo SHI ; Zhaofang BAI ; Jiang ZHENG ; Xiaohe XIAO ; Jiabo WANG
Science of Traditional Chinese Medicine 2025;3(1):15-27
Background: The previous research has confirmed the existence of idiosyncratic drug-induced liver injury (IDILI) caused by Polygonum multiflorum (PM-IDILI), and demonstrated that PM-IDILI is an immune-mediated injury, with HLA-B*35:01 identified as a genetic susceptibility marker. Additionally, emodin-8-O-β-D-glucoside (EG) and 2, 3, 5, 4′-tetrahyd roxystilbene-2-O-β-D-glucoside have been proposed as potential contributory ingredients in the pathogenesis of PM-IDILI. However, the precise mechanisms through which these susceptible factors contribute to the development of PM-IDILI remain unclear. Objectives: This study aims to explore the molecular characteristics of HLA-B*35:01 that contribute to PM-DILI and to propose a mechanistic hypothesis based on our previous research on PM-induced protein adducts. Methods: Key differences between HLA-B*35:01 and general Chinese HLA-B alleles were identified by comparing protein sequences, peptide binding motifs, and protein structures. Molecular docking was employed to assess whether PM-induced haptenated peptides can be presented by HLA-B*35:01 and other related alleles. Additionally, a simplified dipeptide model was used to evaluate the binding affinity of HLA-B*35:01 to EG-haptenated peptides. Results: Our findings revealed significant differences in the residues of the B and F peptide binding pockets of HLA-B*35:01 compared to general Chinese HLA-B alleles. Further analysis suggested that the F pocket of HLA-B*35:01 was capable of binding EG-cysteine adducts and might be a key feature in the PM-IDILI pathogenesis. Peptide docking using DINC and molecular dynamics simulations indicated that HLA-B*35:01 could form stable complexes with EG-haptenated peptides. Molecular dynamics simulations also highlighted the critical roles of both the B and F pockets in peptide binding. Specifically, the F pocket binds the EG-modified residue in haptenated peptides, while the B pocket, despite lacking shared features among PM-IDILI patients, may indirectly influence the incidence of PM-IDILI by filtering haptenated peptides. The binding affinity of HLA-B*35:01 to EG-modified cysteine residues was experimentally validated through a dipeptide-based assay, confirming that HLA-B*35:01 could bind EG-haptenated peptides. Conclusions: This study identified the unique B and F binding pockets of HLA-B*35:01 as key factors in PM-IDILI pathogenesis and demonstrated that HLA-B*35:01 could bind EG-haptenated peptides. These findings suggest that PM-IDILI may be a hapten-based drug hypersensitivity reaction driven by EG, providing a theoretical framework for further research aimed at elucidating the molecular mechanisms underlying PM-IDILI.
4.In-silico discovery of the hapten-based interaction between idiosyncratic hepatotoxic ingredients of Polygonum multiflorum and HLA-B*35:01
Dake XIAO ; Xu ZHAO ; Xiaoyan ZHAN ; Zhuo SHI ; Zhaofang BAI ; Jiang ZHENG ; Xiaohe XIAO ; Jiabo WANG
Science of Traditional Chinese Medicine 2025;3(1):15-27
Background: The previous research has confirmed the existence of idiosyncratic drug-induced liver injury (IDILI) caused by Polygonum multiflorum (PM-IDILI), and demonstrated that PM-IDILI is an immune-mediated injury, with HLA-B*35:01 identified as a genetic susceptibility marker. Additionally, emodin-8-O-β-D-glucoside (EG) and 2, 3, 5, 4′-tetrahyd roxystilbene-2-O-β-D-glucoside have been proposed as potential contributory ingredients in the pathogenesis of PM-IDILI. However, the precise mechanisms through which these susceptible factors contribute to the development of PM-IDILI remain unclear. Objectives: This study aims to explore the molecular characteristics of HLA-B*35:01 that contribute to PM-DILI and to propose a mechanistic hypothesis based on our previous research on PM-induced protein adducts. Methods: Key differences between HLA-B*35:01 and general Chinese HLA-B alleles were identified by comparing protein sequences, peptide binding motifs, and protein structures. Molecular docking was employed to assess whether PM-induced haptenated peptides can be presented by HLA-B*35:01 and other related alleles. Additionally, a simplified dipeptide model was used to evaluate the binding affinity of HLA-B*35:01 to EG-haptenated peptides. Results: Our findings revealed significant differences in the residues of the B and F peptide binding pockets of HLA-B*35:01 compared to general Chinese HLA-B alleles. Further analysis suggested that the F pocket of HLA-B*35:01 was capable of binding EG-cysteine adducts and might be a key feature in the PM-IDILI pathogenesis. Peptide docking using DINC and molecular dynamics simulations indicated that HLA-B*35:01 could form stable complexes with EG-haptenated peptides. Molecular dynamics simulations also highlighted the critical roles of both the B and F pockets in peptide binding. Specifically, the F pocket binds the EG-modified residue in haptenated peptides, while the B pocket, despite lacking shared features among PM-IDILI patients, may indirectly influence the incidence of PM-IDILI by filtering haptenated peptides. The binding affinity of HLA-B*35:01 to EG-modified cysteine residues was experimentally validated through a dipeptide-based assay, confirming that HLA-B*35:01 could bind EG-haptenated peptides. Conclusions: This study identified the unique B and F binding pockets of HLA-B*35:01 as key factors in PM-IDILI pathogenesis and demonstrated that HLA-B*35:01 could bind EG-haptenated peptides. These findings suggest that PM-IDILI may be a hapten-based drug hypersensitivity reaction driven by EG, providing a theoretical framework for further research aimed at elucidating the molecular mechanisms underlying PM-IDILI.
5.In-silico discovery of the hapten-based interaction between idiosyncratic hepatotoxic ingredients of Polygonum multiflorum and HLA-B*35:01
Dake XIAO ; Xu ZHAO ; Xiaoyan ZHAN ; Zhuo SHI ; Zhaofang BAI ; Jiang ZHENG ; Xiaohe XIAO ; Jiabo WANG
Science of Traditional Chinese Medicine 2025;3(1):15-27
Background: The previous research has confirmed the existence of idiosyncratic drug-induced liver injury (IDILI) caused by Polygonum multiflorum (PM-IDILI), and demonstrated that PM-IDILI is an immune-mediated injury, with HLA-B*35:01 identified as a genetic susceptibility marker. Additionally, emodin-8-O-β-D-glucoside (EG) and 2, 3, 5, 4′-tetrahyd roxystilbene-2-O-β-D-glucoside have been proposed as potential contributory ingredients in the pathogenesis of PM-IDILI. However, the precise mechanisms through which these susceptible factors contribute to the development of PM-IDILI remain unclear. Objectives: This study aims to explore the molecular characteristics of HLA-B*35:01 that contribute to PM-DILI and to propose a mechanistic hypothesis based on our previous research on PM-induced protein adducts. Methods: Key differences between HLA-B*35:01 and general Chinese HLA-B alleles were identified by comparing protein sequences, peptide binding motifs, and protein structures. Molecular docking was employed to assess whether PM-induced haptenated peptides can be presented by HLA-B*35:01 and other related alleles. Additionally, a simplified dipeptide model was used to evaluate the binding affinity of HLA-B*35:01 to EG-haptenated peptides. Results: Our findings revealed significant differences in the residues of the B and F peptide binding pockets of HLA-B*35:01 compared to general Chinese HLA-B alleles. Further analysis suggested that the F pocket of HLA-B*35:01 was capable of binding EG-cysteine adducts and might be a key feature in the PM-IDILI pathogenesis. Peptide docking using DINC and molecular dynamics simulations indicated that HLA-B*35:01 could form stable complexes with EG-haptenated peptides. Molecular dynamics simulations also highlighted the critical roles of both the B and F pockets in peptide binding. Specifically, the F pocket binds the EG-modified residue in haptenated peptides, while the B pocket, despite lacking shared features among PM-IDILI patients, may indirectly influence the incidence of PM-IDILI by filtering haptenated peptides. The binding affinity of HLA-B*35:01 to EG-modified cysteine residues was experimentally validated through a dipeptide-based assay, confirming that HLA-B*35:01 could bind EG-haptenated peptides. Conclusions: This study identified the unique B and F binding pockets of HLA-B*35:01 as key factors in PM-IDILI pathogenesis and demonstrated that HLA-B*35:01 could bind EG-haptenated peptides. These findings suggest that PM-IDILI may be a hapten-based drug hypersensitivity reaction driven by EG, providing a theoretical framework for further research aimed at elucidating the molecular mechanisms underlying PM-IDILI.
6.Risk factors of malaria infection and risk prediction model research in in labor export in Langfang City
Xuejun ZHANG ; Kun ZHAO ; Jing ZHAO ; ZHUO WANG ; Qiang GUO ; Jie XIAO ; Juanjuan GUO ; Jinhong PENG
Journal of Public Health and Preventive Medicine 2025;36(1):118-122
Objective To analyze the influencing factors of malaria infection of labor service exported to overseas in Langfang City, in order to establish a visualization tool to assist clinicians in predicting the risk of malaria. Methods A total of 4 774 expatriate employees of the Nibei Pipeline Project of the Pipeline Bureau from October 2021 to August 2023 were taken as the subjects, and the gender, age, overseas residence area and Knowledge of malaria controlscores of the study subjects were investigated by questionnaire survey, and the possible risk factors of malaria were screened by logistic regression model. At the same time, the nomogram prediction model was established, and the subjects were divided into the training group and the validation group at a ratio of 2:1, and the area under the curve (ROC) and the decision curve were plotted to evaluate the prediction ability and practicability of the prediction model in this study. Results Among the 4 774 study subjects, 96 cases of malaria occurred, and the detection rate was 2.01%. Junior school (OR=1.723,95% CI:1.361-2.173), and residence in rural areas(OR=2.091,95%CI:1.760 -3.100)were risk factors (OR>1), while protective measures(OR=0.826,95% CI : 0.781 - 0.901) and high malaria education scores (OR=0.872,95% CI : 0.621 - 0.899)were protective factors.The nomogram prediction model results showed that the area under the curve of the nomogram prediction model in the training group was 0.94 (95% CI : 0.85 - 1.00), while the validation group was 0.93 (95% CI : 0.80 - 1.00). The results of the decision curve showed that when the threshold probability of the population was 0-0.9, the nomogram model was used to predict the risk of malaria occurrence with the highest net income. Conclusion The nomogram prediction model (including gender, education, region, protection and malaria education score) established and validated in this study is of great value for clinicians to screen high-risk patients with malaria.
7.Epidemiological analysis of bloodstream isolates in hematology departments across Guangdong, 2020-2024
Yexin LIN ; Ximing CHEN ; Yan ZHANG ; Jiong WANG ; Wenwen LIANG ; Qinhong XIE ; Hualiang CHEN ; Qiuxue DENG ; Xu YANG ; Ningjing LIU ; Yijing WANG ; Mingxin LI ; Yangjin CHEN ; Yating ZHAO ; Nanhao HE ; Jiakang CHEN ; Shunian XIAO ; Chao ZHUO
Chinese Journal of Hematology 2025;46(6):521-529
Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.
8.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.
9.Changing resistance profiles of Staphylococcus isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yuling XIAO ; Mei KANG ; Yi XIE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Ping JI ; Fengbo ZHANG ; 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 ; 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(5):570-580
Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8%)strains of Staphylococcus aureus and 68,040(33.2%)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)%,wound,pus and secretions(33.6±4.2)%,and blood(11.9±1.5)%.The CNS strains were predominantly isolated from blood(73.6±4.2)%,cerebrospinal fluid(12.1±2.5)%,and pleural effusion and ascites(8.4±2.1)%.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)%,outpatient and emergency(11.6±1.7)%,and department of surgery(11.2±0.9)%,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)%,outpatient and emergency(12.8±4.7)%,and department of internal medicine(11.2±1.9)%.The prevalence of methicillin-resistant strains was 32.9%in S.aureus(MRSA)and 74.1%in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1%to 29.2%,and the prevalence of MRCNS decreased from 82.1%to 68.2%.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2%to 2.3%over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.
10.Tick-borne pathogens infection of rodents at the border of China and the Democratic People's Republic of Korea
Zhuo WANG ; Qiong WU ; Xiao-Yang HUANG ; Guan-Peng HUANG ; You-Xin MA ; En-Rong MAO ; Guo-Shuang LENG ; Hong-Min ZHAO ; Bing LI ; Yi-Min WU
Chinese Journal of Zoonoses 2024;40(4):323-327
To investigate the existence of tick-borne pathogens infection of rodents at the border of China and the Demo-cratic People's Republic of Korea(DPRK).PCR was used to detect the spotted fever group rickettsiae(SFGR)ompA gene,Ehrlichia chaffeensis(Ec)and Anaplasma phagocytophilum(Ap)16S rRNA,Candidatus Neoehrlichia mikurensis(CNm)groEL gene,Bartonella(Ba)rpoB gene,and Francisella tularensis(Ft)fopA gene in rodents samples collected from Ji'an of Jilin province and Kuandian of Liaoning Province.The positivity rates of 132 wild rats spleen samples,SFGR,Ec,Ap,CNm,Ba,and Ft were 9.85%,12.88%,5.30%,3.79%,51.52%,and 6.06%,respectively,with statistical differences in in-fection rates(x2=149.236,P=0.000).The infection rate of Ba was the highest in wild rats in this area.There was no signifi-cant difference in the infection rate of SFGR,Ec,Ap,CNm,and Ft among different rats species,but there were significant differences in the infection rate of Ba(x2=13.36,P=0.010).The infection rate of Apodemus agrarius was the highest.A-mong 132 wild rats specimens,the coinfection rate of the two pathogens was 15.9%(21/132),with Ba as the main species(15/132),and two cases of coinfection with three pathogens were detected.The infection of six tick-borne pathogens is common in wild rats at the China/DPRK border.Co-infection of two or three pathogens indicates a risk of multiple tick-borne pathogens and mixed natural foci of multiple tick-borne infec-tious diseases.


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