1.Neuroelectromagnetic Activities Across Temporal Scales
Zhuo-Qun SHEN ; Xiao-Fei XU ; Yan-Qing WANG ; Jing-Xin LI ; Lan TIAN ; Wei GUO ; Jing-Jing XU
Progress in Biochemistry and Biophysics 2026;53(6):1541-1560
Although global brain science research has progressed rapidly in recent decades, several fundamental questions in neuroscience remain unresolved. In particular, the physical mechanism underlying neural signal transmission remains controversial, and the carriers responsible for neural information storage and retrieval have not yet been fully clarified. These unresolved issues motivate us to re-examine the processes of neural information generation, transmission, integration, storage, and retrieval from multiple perspectives. A key observation is that neural electromagnetic activities are closely associated with time. Their duration, temporal structure, and dynamic evolution play crucial roles in neural information processing. In this work, we analyze neural electromagnetic activities from the perspective of temporal scales (referred to here as the “time course”). By reviewing and integrating findings from previous studies, we examine the characteristic time requirements and dynamic features of neural processes occurring at different stages of information processing. These stages include neural signal generation, signal transmission along axons, synaptic integration, synaptic plasticity, and memory formation and retrieval. Based on this temporal analysis, we outline a framework describing neural electromagnetic activities across a wide range of time scales, spanning from microseconds to minutes, hours, or even longer periods associated with long-term memory, which suggests that neural information processing involves multiple physical processes operating at different time levels. Rapid electromagnetic events may occur on microsecond scales, whereas electrophysiological phenomena such as action potentials typically last on the order of milliseconds. Longer time scales are associated with synaptic plasticity and memory-related processes. From this perspective, we propose that the physical carrier of neural information may be transient electromagnetic pulses with durations on the microsecond scale. In this framework, action potentials can be interpreted as the macroscopic electrophysiological manifestation of underlying electromagnetic processes triggered by ionic currents across neuronal membranes. Rather than being the fundamental neural signal itself, the action potential may represent a measurable membrane-level response associated with the successful activation of these electromagnetic events. Moreover, we discuss a possible mechanism for long-term memory storage. Considering the apparent temporal contradiction between the millisecond-scale excitation of neurons and the long-term persistence of memories, we believe that long-term memory information may be stored within neural network topologies formed by electrical synapse coupling. Such structures, referred to as electrically coupled memory networks (ECMNs), may enable neurons within the same network to respond rapidly and synchronously to stimuli, thereby facilitating efficient memory retrieval. Overall, this study emphasizes the importance of considering the temporal organization of neural electromagnetic activities when interpreting neural signaling mechanisms. It may provide new insights into the physical nature of neural information carriers and the mechanisms of memory storage and retrieval. Furthermore, highlighting the potential role of electromagnetic interactions in neural activity may contribute to the development of new theoretical frameworks and experimental approaches in neuroscience. Such perspectives may also offer valuable references for future research on neural coding, brain function mechanisms, and neuromodulation technologies.
2.Pathogen detection and genetic characteristic analyses of hand-foot-and-mouth disease in Dehong Prefecture of Yunnan Province in 2023
Zhuoya GAO ; Jiangli ZHU ; Dingfu LUO ; Bingjun TIAN ; Kang YANG ; Zengjiao DUAN ; Runbo ZHANG ; Yinghao CHEN ; Zhuo SHEN
Shanghai Journal of Preventive Medicine 2026;38(6):446-452
ObjectiveTo genotype the specimens from hand-foot-and-mouth disease (HFMD) cases in Dehong Prefecture, Yunnan Province in 2023 by gene sequencing, and to analyze the genetic characteristics of Coxsackievirus A4 (CVA4), CVA6, CVA10, CVA16 and enterovirus A71 (EV-A71), so as to clarify the serotypes of enteroviruses causing endemic HFMD and the genotype composition of CVA4, CVA6, CVA10, CVA16 and EV-A71 prevalent in HFMD, and to provide baseline genotype data for monitoring the dynamic changes of the five virus genotypes. MethodsStool specimens from HFMD cases in Dehong Prefecture in 2023 that tested positive for EV-A71, CVA16 and other enteroviruses by real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) were first subjected to gene sequencing and typing of the VP4/VP2 junction region to determine the viral types. Subsequently, the complete VP1 gene of each virus was amplified in two segments using group-specific VP1 gene primers corresponding to enterovirus groups (i.e., enterovirus group A, B, and C) and sequenced (group A virus: primers 486/488 and 487/489, group B virus: primers 490/492 and 491/493, group C virus: primers 494/496 and 495/497). The representative reference sequences of VP1 genes for CVA4, CVA6, CVA10, CVA16 and EV-A71 were downloaded from the literature, and the VP1 gene phylogenetic tree was constructed using MEGA 6.0 software for genetic characterization. ResultsA total of 256 stool specimens were collected from HFMD cases in Dehong Prefecture in 2023, of which 94 tested positive for nucleic acid by RT-qPCR, yielding a positive rate of 36.72%. Of the 94 positive specimens, 83 were identified as group A viruses, and were classified into 5 serotypes (17 strains of CVA4, 3 of CVA6, 6 of CVA10, 49 of CVA16, and 8 of EV-A71). Nine strains were group B viruses, comprising 2 serotypes: 2 strains of echovirus type 3 (E3) and 7 strains of Coxsackievirus B type 5 (CVB5). The remaining 2 strains were group C viruses, both identified as poliovirus type 3 (PV3). Genetic analyses of the VP1 region showed that all 17 CVA4 strains were identified as subgenotype C2, all 3 CVA6 strains as subgenotype D3a, all 6 CVA10 strains as genotype C. Among the 49 CVA16 strains, 46 were identified as subgenotype B1a and 3 as subgenotype B1b, and all 8 EV-A71 strains were identified as subgenotype C4a. ConclusionIn 2023, group A viruses dominated the pathogenic spectrum of HFMD in Dehong Prefecture. Among them, CVA16 had the highest positivity rate. Genetic characteristic analyses showed that CVA4, CVA6, CVA10 and EV-A71 were each composed of a single genotype (subgenotype), while CVA16 was composed of two subgenotypes (B1a and B1b), with B1a being the predominant one. It is recommended that molecular epidemiological surveillance of HFMD pathogens, particularly group A viruses, be continuously strengthened in Dehong Prefecture.
3.Value of coronary CT angiography combined with serum IL-12p70,PC,and PS in diagnosing the degree of coronary artery stenosis in coronary heart disease
Zhuo LIU ; Jianxing XU ; Dandan SHEN
International Journal of Laboratory Medicine 2025;46(9):1025-1029
Objective To explore the value of coronary CT angiography(CCTA)combined with serum in-terleukin(IL)-12p70,protein C(PC)and protein S(PS)in the diagnosis of coronary artery stenosis in coro-nary heart disease.Methods A total of 186 patients with coronary artery disease admitted to Wujin Hospital Affiliated to Jiangsu University(Changzhou Wujin People's Hospital)from April 2022 to April 2024 were prospectively selected as the study group,and the patients were grouped into mild,moderate and severe groups according to Gensimi scores,and another 186 patients with healthy physical examination during the same peri-od were selected as the control group.Enzyme-linked immunosorbent assay(ELISA)was used to detect IL-12p70 levels.Automatic coagulation instrument was used to detect the levels of PC and PS.The influencing factors of severe coronary artery stenosis in coronary heart disease were analyzed by multivariate Logistic re-gression analysis.Receiver operating characteristic(ROC)curve was plotted to analyze the diagnostic value of CCTA parameters combined with serum IL-12p70,PC and PS in the diagnosis of severe coronary artery steno-sis in coronary heart disease.Results The serum level of IL-12p70 in the study group was greatly higher than that in the control group(P<0.05),and the levels of PC and PS were greatly lower than those in the control group(P<0.05).Minimum lumen diameter(MLD),minimum tubular neck area(MLA),serum PC,and PS levels were sequentially decreased in the mild,moderate,and severe groups(P<0.05),and percentage area stenosis(%AS),percentage diameter stenosis(%DS),and serum IL-12p70 levels were sequentially increased(P<0.05).According to multivariate Logistic regression analysis,IL-12p70 was a risk factor for severe coro-nary artery stenosis in coronary heart disease(P<0.05),and PC and PS were protective factors(P<0.05).According to the ROC curve,the area under the curve(AUC)of MLD,MLA,%AS,%DS,serum IL-12p70,PC,and PS for the diagnosis of severe coronary artery stenosis in coronary heart disease was 0.810,0.767,0.782,0.779,0.776,0.809,and 0.805.The AUC of combined diagnosis for severe coronary artery stenosis in coronary heart disease was 0.982,which was better than that of individual diagnosis(Zcombination vs.MLD=2.489,Zcombination vs.MLA=2.502,Zcombination vs.%AS=2.531,Zcombination vs.%DS=2.602,Zcombination vs.IL-12p70=2.643,Zcombination vs.PC=2.537,Zcombination vs.PS=2.546,all P<0.05).Conclusion Serum IL-12p70 is greatly increased in patients with coronary heart disease,PC and PS levels are greatly reduced.CCTA combined with serum IL-12p70,PC,and PS could effectively improve their value in diagnosing degree of coronary artery stenosis in cor-onary heart disease.
4.Progress on carboxyl-substituted phthalocyanine photosen-sitizers and their drug delivery systems for photodynamic therapy.
Dan SHEN ; Hongjie HUANG ; Jincan CHEN ; Bowen LI ; Zhuo CHEN
Journal of Zhejiang University. Medical sciences 2025;54(4):500-510
Research in photodynamic therapy (PDT) primarily focuses on enhancing light penetration depth, improving oxygen supply, and optimizing photosensitizer delivery. Notably, the delivery efficiency of the photosensitizer is crucial for therapeutic efficacy. Carboxyl-substituted phthalocyanines, as important photosensitizing molecules, possess unique chemical modification sites that enable direct targeted delivery or integration into diverse delivery systems. Their synthesis predominantly employs mixed- or cross-condensation, selective synthesis, and axial modification strategies to introduce carboxyl groups. However, their inherent hydrophobicity significantly hinders effective delivery. To address this limitation, modifications with peptides or quaternary ammonium salt derivatives may facilitate precise delivery to tumor cells and pathogens. With advances in nanotechnology, carboxyl-substituted phthalocyanines can serve as key photosensitizer modules, effectively integrated into nanomaterials such as biomacromolecules, inorganic metals, and polymers for both active and passive delivery. Recently, researchers have exploited the π-π stacking and other intermolecular forces among carboxyl-substituted phthalocyanine molecules to drive their self-assembly into nano-micelles, enabling carrier-free delivery or co-delivery with other therapeutic agents for synergistic effects. This review systematically outlines the synthesis strategies for carboxyl-substituted phthalo-cyanines. Taking mono-carboxyl-substituted zinc phthalocyanine as a model molecule, the performance of three delivery modalities were compared: single-molecule targeted delivery, nanocarrier-encapsulated delivery, and carrier-free self-assembled delivery, in terms of PDT efficacy, biocompatibility, and imaging-guided tracing capabilities, to provide a systematic technical framework for the rational design of novel modular photosensitizers and to advance the clinical translation of PDT in precision oncology and anti-infective therapy.
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5.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.
6.Autophagy level of CD8+T cells in rat model of chronic obstructive pulmonary disease and correlation with its number
Yuming CHEN ; Xuhua YU ; Ziyao LIANG ; Na LI ; Sida CHEN ; Yan SHEN ; Songming ZHUO
Chinese Journal of Immunology 2025;41(2):295-303
Objective:To investigate the autophagy level of CD8+T cells in rat model of chronic obstructive pulmonary disease(COPD)and correlation with its number,and to explore the role of autophagy in pathogenesis of COPD.Methods:Thirty-six 6-week-old male SD rats were divided into three groups,including normal control group,COPD group and COPD intervention group.COPD model was established by smoking,and intraperitoneal injection of 3-methyladenine(3-MA)was used for intervention.Lung function of rats was detected by small animal pulmonary function testing,and frequency of CD8+T cells,CD8+memory T cells,CD8+effector T cells in blood and lung of rats were detected by flow cytometry.CD8+T cells were sorted by immunomagnetic beads,and expressions of autophagy protein including LC3-Ⅱ/Ⅰ,Beclin-1 and p62 in CD8+T cells were detected by Western blot.The middle lobe of right lung was collected for histological observation.Results:Infiltration of inflammatory cells and the decline of lung function in COPD group were more obvious than those in normal group.Frequency of CD8+T cells,CD8+effector T cells and CD8+memory T cells in blood and lung of rats in COPD group were significantly higher than those in normal control group(all P<0.05).Level of autophagy protein,LC3-Ⅱ/Ⅰ and Beclin-1 of CD8+T cells in COPD group were significantly higher than that in normal control group,while level of p62 was lower than that in normal control group(P<0.01).CD8+T cells,CD8+effector T cells,CD8+memory T cells in COPD intervention group were significantly lower than those in COPD group(P<0.05).Correlation analysis showed that LC3-Ⅱ/Ⅰ expression level was positively correlated with frequency of CD8+T cells in blood(r=0.667,P<0.01).Expression level of Beclin-1 was positively correlated with frequency of CD8+T cells and CD8+effector T cells in blood(r=0.505,P=0.021;r=0.428,P=0.037).Expression of LC3-Ⅱ/Ⅰprotein was positively correlated with frequency of CD8+T cells and CD8+effector T cells in lung tissue(r=0.474,P=0.019;r=0.549,P=0.006).Expression of Beclin-1 was positively correlated with frequency of CD8+effector T cells in lung tissue(r=0.458,P=0.025).Conclusion:Level of CD8+T cell autophagy is correlated with its number.CD8+T cell autophagy may be involved in the chronic inflam-matory process of COPD,and 3-MA can inhibit COPD inflammation.
7.Effects of Hofmeister series ions on encapsulation efficiencies of three components in inclusion complex of volatile oils from Wenjing Decoction
Wen SHEN ; Zhuo-yuan LI ; Lin TAO ; Wei XIE ; Run SHI ; Yu-han CUI ; Wen LI ; Jun-song LI
Chinese Traditional Patent Medicine 2025;47(11):3571-3580
AIM To explore the effects of Hofmeister series ions on encapsulation efficiencies of cinnamaldehyde,paeonol,and ligustilide in inclusion complex of volatile oils from Wenjing Decoction.METHODS The volatile oils were extracted,after which the β-cyclodextrin inclusion complex was prepared,the thermal stability was evaluated,and encapsulation efficiencies and inclusion complex constants of various volatile components in Na2SO4,NaH2PO4,NaCl,NaI,NaSCN solutions were determined.RESULTS The β-cyclodextrin inclusion complex demonstrated good thermal stability within 10 d.After the addtion of Hofmeister series ions,various volatile components displayed increased encapsulation efficiencies and inclusion complex constants,and concentration-dependent manner was observable in the latter.CONCLUSION Hofmeister series ions can affect the binding affinities of volatile components and β-cyclodextrin in volatile oils from Wenjing Decoction,thus regulate their encapsulation efficiencies.
8.Brain network connectivity and classification model of adolescent depression based on resting-state functional magnetic resonance imaging and machine learning
Yanrui SHEN ; Xuekun LI ; Zhong LI ; Chenghao CAO ; Zhuo ZHENG ; Baolin WU
Chinese Journal of Neuromedicine 2025;24(3):260-266
Objective:To explore the abnormal patterns of brain functional network connectivity in depression adolescents and their diagnostic value in adolescent depression.Methods:A total of 94 depression adolescents (adolescent depression group) admitted to Outpatient Department of Psychiatric Imaging, West China Hospital, Sichuan University from January 2020 to December 2022 were selected. In addition, 78 age- and gender-matched healthy adolescents were recruited from local community advertisements at the same time-period as healthy control group. Resting-state functional magnetic resonance imaging was performed; after image preprocessing, group-level spatial independent component analysis was performed to identify the intrinsic network connectivity, and differences in network connectivity between the two groups were compared. Functional connectivity edges were employed as classification features, and feature ranking and screening were then performed. A support vector machine (SVM) with linear kernel function was used to construct a classification model, and receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of this classification model in adolescent depression.Results:No significant difference was noted in age, gender, years of education, and body mass index between the two groups ( P>0.05). Compared with the healthy control group, the adolescent depression group had significantly decreased functional connectivity intensity within and between the networks of sensorimotor network (SMN), visual network (VN), auditory network (AN), default mode network (DMN), and cognitive control network (CCN), and significantly increased functional connectivity intensity within CCN ( P<0.05). When using the 75 top-ranked functional connectivity features, this classification model had the best performance (accuracy rate: 70.35%, sensitivity: 70.21%, specificity: 71.80%, P<0.001). ROC curve showed that area under the curve of this classification model in diagnosing adolescent depression was 0.724 (95% CI: 0.648-0.800, P<0.001). A total of 51 consistent functional connectivities were identified and they were mainly located within or between the networks of SMN, VN, AN, DMN, and CCN. Conclusion:The abnormal resting-state brain functional connectivity in depression adolescents can provide imaging basis for their clinical diagnosis.
9.Application of deep learning models based on super-resolution endorectal ultrasound in predicting perineural invasion in rectal cancer
Yajiao GAN ; Qiping HU ; Xinyi WANG ; Yixi SU ; Qingling SHEN ; Minling ZHUO ; Yi TANG ; Xiaodong LIN ; Yue YU ; Youjia LIN ; Qingfu QIAN ; Zhikui CHEN
Chinese Journal of Ultrasonography 2025;34(10):848-857
Objective:To develop a deep learning model based on super-resolution endorectal ultrasound(ERUS)images for the preoperative prediction of perineural invasion(PNI)in patients with rectal cancer,thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set( n=305)and a test set( n=77)at a ratio of 8∶2,and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network(GAN). Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest(ROI). The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model,built using super-resolution images of the tumor combined with a 5-pixel peritumoral region,achieved the best predictive performance,with an AUC of 0.867(95% CI=0.782 - 0.952)in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage,maximum lesion length,and lymph node enlargement,though relatively weaker performance was observed in the carcinoembryonic antigen(CEA)subgroup. Among all models,dSR5_ResNet18 exhibited the most consistent performance across subgroups,with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability,and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.
10.Changing resistance profiles of Haemophilus influenzae and Moraxella catarrhalis isolates in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Hui FAN ; Chunhong SHAO ; Jia WANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Yunsheng CHEN ; Qing MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Wenqi SONG ; Kaizhen WEN ; Yirong ZHANG ; Chuanqing WANG ; Pan FU ; Chao ZHUO ; Danhong SU ; Jiangwei KE ; Shuping ZHOU ; Hua ZHANG ; Fangfang HU ; Mei KANG ; Chao HE ; Hua YU ; Xiangning HUANG ; Yingchun XU ; Xiaojiang ZHANG ; Wenen LIU ; Yanming LI ; Lei ZHU ; Jinhua MENG ; Shifu WANG ; Bin SHAN ; Yan DU ; Wei JIA ; Gang LI ; Jiao FENG ; Ping GONG ; Miao SONG ; Lianhua WEI ; Xin WANG ; Ruizhong WANG ; Hua FANG ; Sufang GUO ; Yanyan WANG ; Dawen GUO ; Jinying ZHAO ; Lixia ZHANG ; Juan MA ; Han SHEN ; Wanqing ZHOU ; Ruyi GUO ; Yan ZHU ; Jinsong WU ; Yuemei LU ; Yuxing NI ; Jingrong SUN ; Xiaobo MA ; Yanqing ZHENG ; Yunsong YU ; Jie LIN ; Ziyong SUN ; Zhongju CHEN ; Zhidong HU ; Jin LI ; Fengbo ZHANG ; Ping JI ; Yunjian HU ; Xiaoman AI ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Xuesong XU ; Chao YAN ; Yi LI ; Shanmei WANG ; Hongqin GU ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Jihong LI ; Bixia YU ; Cunshan KOU ; Jilu SHEN ; Wenhui HUANG ; Xiuli YANG ; Likang ZHU ; Lin JIANG ; Wen HE ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):30-38
Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91%of the total clinical isolates and 4.07%of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89%were isolated from children and 33.11%were isolated from adults.More than 90%of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79%in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06%were isolated from children and 19.94%isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0%.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

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