1.Exploring Content and Distribution Patterns of 22 Ginsenosides in Stems and Leaves of Panax ginseng with Different Stem Colors by UHPLC-QqQ-MS
Tianxin ZHANG ; Yang YANG ; Jiabing ZHANG ; Lixia WANG ; Xiaoxu CHEN ; Xiaoyu ZHU ; Dade YU ; Hongwei WU ; Zhuju WANG ; Kaiyang LIU ; Liying TANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):198-209
ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry (UHPLC-QqQ-MS) was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), and one-way analysis of variance (ANOVA) were performed to explore the distribution patterns of ginsenosides from three dimensions: tissue distribution, growth duration, and stem color. Results① Tissue distribution: Leaves served as the primary organ for ginsenoside accumulation, exhibiting significantly higher total ginsenoside content than stems, which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration: Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing, while those in leaves displayed a declining-rebounding pattern, indicating that the 2-year-old plants (harvest stage) was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color: A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems, the early-growth stage (2-year-old) of purple-stemmed plants exhibited higher content of specific ginsenosides (e.g., ginsenoside Rk1 and notoginsenoside R1), which may be associated with its stronger early-stage stress resistance. In leaves, the content of core ginsenosides (e.g., ginsenosides Re and Rd) in 5-year-old plants with green stems showed a surpassing trend, demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type, growth duration, and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential, whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.
2.High-throughput Sequencing of MET Mutational Landscape in Cancer Patients and the Value of IHC Screening for Targeted Therapy
Feicheng YANG ; Lixia JIANG ; Ruobing LIU ; Kai YANG ; Yewei LI ; Yi XIONG ; Hao DENG ; Jie HU
Journal of Sun Yat-sen University(Medical Sciences) 2026;47(1):172-181
ObjectiveTo investigate the mutation status of the MET gene in tumor patients, with a focus on its expression in lung cancer tissues and its impact on patient prognosis, providing theoretical basis and potential targets for precise diagnosis and treatment of the tumors. MethodsA total of 1,627 tumor patient samples were collected from January 2021 to September 2025. High-throughput sequencing technology was used to conduct DNA-level gene detection on 137 tumor patients with MET mutations. The distribution of mutation sites in exons and introns, as well as the occurrence frequencies of MET gene amplification and gene fusion were analyzed, with particular attention paid to the mutation frequencies of each exon and the high-frequency variant types. Immunohistochemical staining was performed to analyze the expression levels of c-MET protein in tumor tissues of the 137 patients. Immunohistochemical analysis was conducted on tumor tissues of 9 patients with MET gene exon 14 skipping mutations to study the association between c-MET protein expression and this specific mutation type. RNA sequencing results, immunohistochemical staining data, and follow-up prognosis of lung cancer from the GEPIA2 database and TCGA database were comprehensively analyzed to explore the potential relationship between MET gene expression in tumor tissues and patient prognosis. ResultsAmong 1,627 tumor patients, 137 MET mutation patients were detected, including 93 males with an average age of (66.85±9.61) years and 44 females with an average age of (59.43±11.08) years. Lung cancer was the most common tumor type (117 cases). MET gene expression was lower in breast cancer and glioblastoma multiforme, but higher in lung cancer and colorectal cancer as compared with the expression in normal tissues. Survival analysis showed that patients with high MET gene expression in lung adenocarcinoma had a shorter overall survival time than those with low expression. A total of 961 mutations were detected by next-generation sequencing, including 547 exon mutations and 374 intron mutations. MET gene amplification was found in 13 cases and gene fusion in 27 cases. The highest mutation frequency was in exon 2, followed by exon 5, exon 4, and exon 19. High-frequency variant types included c.2890C>A (p.L964M) on exon 4 and c.3028G>T (p.D1010Y) on exon 5. The c-MET protein expression was closely related to the type of gene mutation. Missense mutations often led to positive or strongly positive c-MET protein expression, while nonsense mutations often resulted in weak or absent c-MET protein expression. Among the 9 patients with MET gene exon 14 skipping mutations, the c-MET protein expression score was mostly 0 - 1, with only 1 case scoring 2. Among the 117 lung cancer patients, the incidence rate was higher in males than in females, and more common among stage Ⅲ-Ⅳ patients than among stage I-Ⅱ patients. Out of the 41 patients treated with surgery + targeted drugs (gutemitinib, savolitinib), 8 cases of recurrence or metastasis were found during follow-up. ConclusionMET gene mutations exhibit specific mutation characteristics in different tumor types, and its expression levels show significant differences between various tumor tissues and normal tissues. It is closely related to the poor prognosis of lung adenocarcinoma patients. We found that c-MET protein expression is closely related to the type of MET gene mutation, especially in patients with MET gene exon 14 skipping mutations, which presents a characteristic expression pattern. This provides an important basis for the preliminary screening using immunohistochemistry in clinical practice.
3.Exploring Content and Distribution Patterns of 22 Ginsenosides in Stems and Leaves of Panax ginseng with Different Stem Colors by UHPLC-QqQ-MS
Tianxin ZHANG ; Yang YANG ; Jiabing ZHANG ; Lixia WANG ; Xiaoxu CHEN ; Xiaoyu ZHU ; Dade YU ; Hongwei WU ; Zhuju WANG ; Kaiyang LIU ; Liying TANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(21):198-209
ObjectiveTo systematically elucidate the accumulation characteristics of secondary metabolites in the stems and leaves of Panax ginseng with different stem colors. MethodsUltra-high-performance liquid chromatography-triple quadrupole-tandem mass spectrometry (UHPLC-QqQ-MS) was employed to determine the of 22 ginsenosides in the stems and leaves of 2- to 5-year-old P. ginseng plants with green and purple stems. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), and one-way analysis of variance (ANOVA) were performed to explore the distribution patterns of ginsenosides from three dimensions: tissue distribution, growth duration, and stem color. Results① Tissue distribution: Leaves served as the primary organ for ginsenoside accumulation, exhibiting significantly higher total ginsenoside content than stems, which indicated distinct tissue-specific distribution of ginsenosides. ② Growth duration: Ginsenoside levels in stems generally peaked in the 2-year-old plants before stabilizing, while those in leaves displayed a declining-rebounding pattern, indicating that the 2-year-old plants (harvest stage) was a critical time point for the resurgence of leaf ginsenosides. ③ Stem color: A stage-specific correlation was observed between stem color and ginsenoside accumulation. In stems, the early-growth stage (2-year-old) of purple-stemmed plants exhibited higher content of specific ginsenosides (e.g., ginsenoside Rk1 and notoginsenoside R1), which may be associated with its stronger early-stage stress resistance. In leaves, the content of core ginsenosides (e.g., ginsenosides Re and Rd) in 5-year-old plants with green stems showed a surpassing trend, demonstrating higher potential of resource development. ConclusionThe accumulation of ginsenosides in P. ginseng stems and leaves is multidimensionally regulated by tissue type, growth duration, and stem color phenotypes. Purple-stemmed plants exhibit early-stage specific ginsenoside accumulation and stress resistance potential, whereas green-stemmed plants are more advantageous for core leaf ginsenoside development at the harvest stage. The findings confirm that aboveground stem color can serve as a biomarker for directed breeding and efficient resource utilization of P. ginseng.
4.Effect of prognosis appearance of the combination of microneedle array radiofrequency and CO2 array laser on psychological stress response of patients with facial acne scar
Lifan LIU ; Lixia XIE ; Xiaoxia YANG ; Bailin CHEN ; Yonghong LU ; Qingbiao WA
China Medical Equipment 2025;22(3):83-87
Objective:To explore the effect of prognosis appearance of the combination of microneedle array radiofrequency and CO2 array laser on psychological stress response of patients with facial acne scar.Methods:A total of 100 patients with facial acne scar,who admitted to Chengdu Second People's Hospital from August 2020 to August 2020,were selected,and they were divided into study group and control group,with 50 cases in each group.Study group adopted combined treatment with microneedle array radiofrequency and CO2 array laser,and control group adopted microneedle array radiofrequency to conduct treatment.The curative effect after treatment was compared between two groups.The Vancouver scar scale(VSS)was adopted to score the scar condition of patients,and Hamilton anxiety(HAMA)rating scale,Hamilton depression(HAMD)of rating scale and self-esteem scale(SES)were adopted to evaluate the psychological stress response of patients,and the score of the comprehensive evaluation questionnaire of quality of life(GQOLI-74 score)was adopted to evaluate the difference of quality of life of patients between before and after treatment.Results:After treatment,the overall curative effect of study group was 92.00%,which was better than 72.00%of control group,and the difference was significant(x2=6.775,P<0.05).The VSS scores of study group after received treatment of 2,4 times were significantly lower than those before treatment,and were lower than those of control group,and the differences of those between two groups were significant(t=5.850,9.040,P<0.05),respectively.After treatment,the SES scores of two groups all rose,and the HAMD and HAMA scores of two groups all reduced,and the three scores of study group were all better than those of control group,and the differences of them between two groups were significant(t=3.456,3.909,6.063,P<0.05).Pearson correlation showed that the VSS score was negatively correlated with the SES score(r=-0.249,P<0.05),and was positively correlated with the HAMD score and the HAMA score(r=0.653,0.695,P<0.05),respectively.After treatment,the GQOLI-74 scores of each indicator(material and life,physical function,psychological function,and social function)of two groups rose all,and the GQOLI-74 scores of study group were all better than those of control group,and the differences of them between two groups were significant(t=4.324,7.497,3.870,4.534,P<0.05),respectively.Conclusion:The combination of microneedle array radiofrequency and CO2 array laser has better curative effect in treating facial acne scar,which can effectively promote prognosis appearance,and relieve psychological stress response,and improve the quality of life.
5.Clinical value analysis of different MRI measurement methods in evaluating the efficacy of neoadjuvant therapy for breast cancer
Yuling DUAN ; Xuezhi ZHOU ; Yongyi LI ; Lixia MA ; Desheng YANG ; Jiao CHENG ; Yan WU ; Tao LIU ; Guoyuan JIANG ; Mei WANG
The Journal of Practical Medicine 2025;41(14):2152-2159
Objective To compare the diagnostic performance of three breast MRI measurement methods—RECIST 1.1,the optimal method,and three-dimensional(3D)volumetric assessment—in assessing the efficacy of neoadjuvant chemotherapy(NAC)in breast cancer patients,with the objective of identifying the most clinically practical approach.Methods A total of 110 breast cancer patients who underwent NAC followed by surgical treatment between 2019 and 2023 were included in the study.Breast magnetic resonance imaging(MRI)was conducted within one week before and after the completion of NAC.Tumor response was evaluated using RECIST 1.1 criteria,widely recognized as the optimal method,as well as 3D volume measurement.Pathological response was determined according to the Miller-Payne grading system.Sensitivity,specificity,accuracy,and the area under the receiver operating characteristic curve(AUC)were computed and compared using the DeLong test.Results The AUC values for RECIST 1.1,the optimal method,and 3D volumetric assessment were 0.768,0.795,and 0.883,respectively.The 3D volumetric assessment exhibited significantly better discriminative performance(P<0.05),with the highest sensitivity(98.9%),specificity(77.8%),and accuracy(95.5%).Additionally,the optimal method demonstrated superior performance over RECIST 1.1 across multiple parameters.Conclusions 3D volumetric mea-surement demonstrates superior performance compared to RECIST 1.1 and the optimal method in evaluating the response to NAC,offering a more accurate and comprehensive assessment tool.Additionally,the optimal method shows advantages over RECIST 1.1 and may serve as a practical alternative in settings where 3D software is not available.
6.Neuroimaging aided diagnosis and transcranial magnetic stimulation interventions for autism spectrum disorder
Xuchu WENG ; Jin JING ; Jianhong LUO ; Xujun DUAN ; Yufeng ZANG ; Xin WANG ; Jiuxing LIANG ; Lixia YUAN ; Xingjie YANG ; Lei LI ; Lizi LIN ; Haiqing XU ; Zhuoming CHEN ; Saijun HUANG ; Qiang CHEN ; Quanying YI ; Maoping LIANG ; Yanjuan CHEN
Chinese Mental Health Journal 2025;39(8):661-670
Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.
7.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 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 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
8.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; 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 ; 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 ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; 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 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
9.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; 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 ; 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 WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
10.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP

Result Analysis
Print
Save
E-mail