1.Molecular Mechanism of Programmed Cell Death in Chronic Obstructive Pulmonary Disease and Traditional Chinese Medicine Intervention: A Review
Xin PENG ; Yunhui LI ; Lei LIANG ; Zheyu LUAN ; Hanxiao WANG ; Haotian XU ; Ziming DANG ; Jihong FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):304-313
Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease that poses a significant threat to global health, exhibiting high morbidity, disability and mortality rate, with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex, and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death (PCD) is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine (TCM) is characterized by holistic regulation. In recent years, extensive research has been conducted in the TCM field focusing on modulating apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis for the treatment of COPD, yielding remarkable achievements. Therefore, this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD, aiming to provide insights and references for the clinical prevention, treatment and in-depth research of COPD.
2.Molecular Mechanism of Programmed Cell Death in Chronic Obstructive Pulmonary Disease and Traditional Chinese Medicine Intervention: A Review
Xin PENG ; Yunhui LI ; Lei LIANG ; Zheyu LUAN ; Hanxiao WANG ; Haotian XU ; Ziming DANG ; Jihong FENG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):304-313
Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease that poses a significant threat to global health, exhibiting high morbidity, disability and mortality rate, with its prevention and treatment situation becoming increasingly critical. The pathogenesis of COPD is complex, and the underlying cellular and molecular biological mechanisms remain incompletely elucidated. Programmed cell death (PCD) is the process wherein cells actively undergo demise to maintain internal environmental stability in response to certain signals or specific stimuli. Contemporary medical research indicates that the dysregulation of PCD patterns such as apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis is closely related to the onset and progression of COPD. Clarifying the molecular mechanisms of PCD in COPD may provide novel perspectives for in-depth understanding and prevention of the disease. Traditional Chinese medicine (TCM) is characterized by holistic regulation. In recent years, extensive research has been conducted in the TCM field focusing on modulating apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis for the treatment of COPD, yielding remarkable achievements. Therefore, this study systematically explored the molecular mechanism of PCD in COPD and reviewed the potential mechanisms and intervention status of TCM targeting PCD in COPD, aiming to provide insights and references for the clinical prevention, treatment and in-depth research of COPD.
3.Immunity-inflammation Mechanism of Viral Pneumonia and Traditional Chinese Medicine Treatment Based on Theory of Healthy Qi and Pathogenic Qi
Zheyu LUAN ; Hanxiao WANG ; Xin PENG ; Yihao ZHANG ; Yunhui LI ; Jihong FENG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):239-247
Viral pneumonia is an infectious disease caused by virus invading the lung parenchyma and interstitial tissue and causing lung inflammation, with the incidence rising year by year. Traditional Chinese medicine (TCM) can treat viral pneumonia in a multi-component, multi-target, and holistic manner by targeting the core pathogenesis of pneumonia caused by different respiratory viruses, demonstrating minimal side effects and significant advantages. According to the theory of healthy Qi and pathogenic Qi in TCM, the struggle between healthy Qi and pathogenic Qi and the imbalance between immunity and inflammation run through the entire process of viral pneumonia, and the immunity-inflammation status at different stages of the disease reflects different relationships between healthy Qi and pathogenic Qi. Immune dysfunction leads to the deficiency of healthy Qi, causing viral infections. The struggle between healthy Qi and pathogenic Qi causes immunity-inflammation imbalance, leading to the onset of viral pneumonia. Inflammatory damage causes persistent accumulation of phlegm and stasis, leading to the progression of viral pneumonia. The cytokine storm causes immunodepletion, leading to the excess of pathogenic Qi and diminution of healthy Qi and the deterioration of viral pneumonia. After the recovery from viral pneumonia, there is a long-term imbalance between immunity and micro-inflammation, which results in healthy Qi deficiency and pathogenic Qi lingering. Healthy Qi deficiency and pathogenic Qi excess act as common core causes of pneumonia caused by different respiratory viruses. Clinical treatment should emphasize both replenishing healthy Qi and eliminating pathogenic Qi, helping to restore the balance between healthy Qi and pathogenic Qi as well as between immunity and inflammation, thus promoting the recovery of patients from viral pneumonia. According to the TCM theory of healthy Qi and pathogenic Qi, this article summarizes the immunity-inflammation mechanisms at different stages of viral pneumonia, and explores the application of the method of replenishing healthy Qi and eliminating pathogenic Qi in viral pneumonia. The aim is to probe into the scientific connotation of the TCM theory of healthy Qi and pathogenic Qi in viral pneumonia and provide ideas for the clinical application of the method of replenishing healthy Qi and eliminating pathogenic Qi to assist in the treatment of viral pneumonia.
4.Challenges, countermeasures, and key points of ethics review in investigator-initiated clinical trials of unlisted products
Honglei NIAN ; Jihong LI ; Jiyin ZHOU
Chinese Medical Ethics 2025;38(1):31-39
Investigator-initiated clinical trials (IIT) are an important part of scientific and technological activities involving human study participants. Among them, high-quality IIT can be used to support the marketing and registration application of drugs, medical devices, and other products when conditions permit. Currently, there is a huge gap between IIT and industry-initiated clinical trials. The use of unlisted products in IIT has problems, such as lack of regulatory support, insufficient research funding support, the need to improve the ability of clinical research management departments, the weakness of professional clinical research teams, and the difficulty of ethics review to match the demands. The challenges could be addressed by improving regulations and conducting pilot trials on a small scale, guaranteeing adequate research funding, strengthening the construction of clinical research management systems, building professional clinical research teams, ensuring the quality of ethical reviews and strict follow-up reviews, shifting from ethical reviews to a system for protecting research participants, and reinforcing training for researchers. Ethics committees should strictly review key points, such as the risk-benefit ratio, informed consent, research funding, compensation for damages, qualifications and equipment of research team members, and management of conflict of interest.
5.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
6.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; 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(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
7.Construction and validation of prediction models for delayed encephalopathy after acute carbon monoxide poisoning based on machine learning
Yanwu YU ; Yan ZHANG ; Ding YUAN ; Huihui HAO ; Fang YANG ; Hongyi YAN ; Pin JIANG ; Mengnan GUO ; Zhigao XU ; Changhua SUN ; Gaiqin YAN ; Lu CHE ; Jianjun GUO ; Jihong CHEN ; Yan LI ; Yanxia GAO
Chinese Journal of Emergency Medicine 2025;34(10):1403-1409
Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.
8.Summary of WANG Jihong's experience in treating refractory lateral epicondylitis with crescent technique of blade needle.
Jialu HOU ; Aining LI ; Yulian WANG ; Zibin GUO ; Jianji CHEN ; Jihong WANG
Chinese Acupuncture & Moxibustion 2025;45(7):990-994
This paper introduces Professor WANG Jihong's clinical experience in treating refractory lateral epicondylitis using the Wang's crescent technique of blade needle. Based on the classical theories of Huangdi Neijing (the Yellow Emperor's Inner Classic) such as the "twelve sinew meridians" "short needling" and "shu needling", Professor WANG applies a self-designed blade needle with crescent needling method. This approach forms a distinctive treatment philosophy characterized by "sinew meridians as the foundation, selecting points at the pain site; using chicken-claw needling technique deliverd at both internal and external; integration of heaven, earth, and man, using both short and shu needling; treating tendon injuries and inflammation with the crescent technique of blade needle". It embodies the therapeutic concept of "treating tendons and bones simultaneously, harmonizing yin and yang", and shows unique advantages in the treatment of this condition.
Acupuncture Therapy/methods*
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Humans
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Tennis Elbow/therapy*
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Male
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Middle Aged
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Adult
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Needles
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Female
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Acupuncture Points
9.WANG Jihong's experience in treatment of post-stroke hypermyotonia with "trinity" approach of Lai's tongyuan therapy.
Zhikai HUANG ; Qi PAN ; Aining LI ; Jihong WANG ; Yulian WANG ; Jialu HOU
Chinese Acupuncture & Moxibustion 2025;45(8):1134-1140
This article introduces the clinical experience of Professor WANG Jihong in treatment of post-stroke hypermyotonia with Lai's tongyuan therapy (therapy for removing obstruction and consolidating vital essence). Regarding the pathogenesis of this disease, Professor WANG Jihong emphasizes a "trinity" approach, "the mind disturbed, qi and blood unbalanced, and yuan (vital essence) not consolidated". In treatment, "the unblocking, conducting and nourishing are taken as the fundamental" to "prevent from over-dredging, balancing yin and yang, and avoiding over-replenishing". In clinical practice, the combined measure is adopted with acupuncture, tuina and herbal medicine. In acupuncture, the acupoints are selected according to the front-back combination of the points of the conception vessel and the governor vessel (basic prescription: Yintang [GV24+], Baihui [GV20] and Niesanzhen; prescription for promoting the governor vessel: Dazhui (GV14), Jinsuo [GV8], Xinshu [BL15], Pishu [BL20] and etc.; and the prescription for consolidating the vital essence: Danzhong (CV17), Zhongwan [CV12], Tianshu [ST25], Qihai [CV6]) and etc., as well as those on the four limbs for "opening, closing and pivoting of yin and yang" (on the upper limbs of the affected side: Jiquan [HT1], Jianyu [LI15], Quchi [LI11], Quze [PC3] and etc.; on the lower limbs of the affected side: Huantiao [GB30], Liangqiu [ST34], Xuehai [SP10], Yanglingquan [GB34]) and etc. The above points co-act on regulating the conception vessel and the governor vessel, and balancing yin and yang. Tuina is delivered on the governor vessel, the bladder meridian of foot-taiyang and wind points on the area between the head and nape, so as to promote the governor vessel, benefit the orifices, strengthen the spine and relax tendons. Herbal medicine works on nourishing the liver to soften tendons, nourishing blood to remove wind, regulating qi to replenish the spleen, consolidating the root to cultivate the vital essence, activating blood circulation to unblock meridians, and removing stasis to resolve phlegm. Tongyuan therapy provides a certain instruction in treatment of post-stroke hypermyotonia.
Humans
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Acupuncture Therapy
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Acupuncture Points
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Stroke/complications*
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Male
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Female
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Middle Aged
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Aged
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Drugs, Chinese Herbal
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Adult
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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