1.Mechanism of action of luteolin in treatment of liver injury
Ying JIANG ; Ning GAO ; Xiaxuan WANG ; Jie GONG ; Lili LIU
Journal of Clinical Hepatology 2026;42(2):472-478
Liver injury has become an increasingly serious global health problem, and existing chemical drugs face the limitations in efficacy and adverse reactions, resulting in the urgent need to develop safe and effective drugs. Recent studies have highlighted the potential of flavonoids from natural medicinal plants in the prevention and treatment of liver injury. As a typical natural flavonoid, luteolin shows a good protective effect against liver injury due to various etiologies, but there is still a lack of systematic elaboration on its mechanism of action. This article summarizes related research advances in China and globally and reviews the mechanism of action of luteolin in inhibiting oxidative stress, exerting an anti-inflammatory effect, regulating cell death, alleviating hepatic fibrosis, modulating lipid metabolism disorders, and regulating the gut-liver axis, as well as the application prospect of luteolin in the treatment of liver injury, in order to provide a scientific reference for further research on this compound.
2.Mechanism of action of luteolin in treatment of liver injury
Ying JIANG ; Ning GAO ; Xiaxuan WANG ; Jie GONG ; Lili LIU
Journal of Clinical Hepatology 2026;42(2):472-478
Liver injury has become an increasingly serious global health problem, and existing chemical drugs face the limitations in efficacy and adverse reactions, resulting in the urgent need to develop safe and effective drugs. Recent studies have highlighted the potential of flavonoids from natural medicinal plants in the prevention and treatment of liver injury. As a typical natural flavonoid, luteolin shows a good protective effect against liver injury due to various etiologies, but there is still a lack of systematic elaboration on its mechanism of action. This article summarizes related research advances in China and globally and reviews the mechanism of action of luteolin in inhibiting oxidative stress, exerting an anti-inflammatory effect, regulating cell death, alleviating hepatic fibrosis, modulating lipid metabolism disorders, and regulating the gut-liver axis, as well as the application prospect of luteolin in the treatment of liver injury, in order to provide a scientific reference for further research on this compound.
3.Biomechanical finite element analysis of American Chiropractic intervention on the third lumbar transverse process syndrome based on imaging.
Ling-Feng ZHU ; Hai-Jie YU ; Hai-Fen YING ; Ben-Bao CHEN ; Xiao-Chun XIONG ; Li-Jiang LYU
China Journal of Orthopaedics and Traumatology 2025;38(4):403-410
OBJECTIVE:
To explore the displacement and pressure distribution of American Chiropractic in a model of third lumbar syndrome based on finite element analysis.
METHODS:
On March 2021, CT and MRI images of a 23-year-old male patient with right third lumbar syndrome were selected. A 3D stl model was established using Mimics and CATIA, and the data was imported into Hypermesh, Abaqus & ANSYS. The elastic modulus and Poisson's ratio of the affected side material were adjusted to establish its finite element model. Based on the comparison of the operating positions and routines of the American Chiropractic and the lumbar spine oblique pull method, but with differences in the focus and direction of force, the experimental group simulated the American Chiropractic with the healthy side (left side) lying position of the model. The upper endplate of L3 and the lower part below L3 twisted accordingly with the body position, we applied a vertical forward thrust of 246 N to the plane formed by the L4, L5 spinous processes and L4 upper articular processes;The control group simulates the oblique pull method of the lumbar spine, requiring the model to lie on the healthy side (left side), fix the upper endplate of L4, and perform a horizontal rotation along the longitudinal axis of L3 vertebral body. At this time, the contact force in the upward direction is also set to 246 N. Compare the displacement and stress differences between the L1-L5 intervertebral bodies, intervertebral discs, articular processes, and transverse process muscles in two intervention models.
RESULTS:
① Under safe load conditions, a test force of 246 N was applied to the model, and the maximum vertebral displacement occurred on the right side of the L3 vertebral body (1.197 mm) after manual intervention in the control group. The vertebral displacement between L1-L5 induced by manual intervention in the experimental group was smaller than that of the control group's manual intervention (P<0.05). ② The maximum vertebral body stress occurred on the right side of the L3 vertebral body after manual intervention in the control group (98.425 MPa). The stress on each vertebral body formed by the experimental group's manual intervention was lower than that of the control group's manual intervention (P<0.05). ③The maximum intervertebral disc stress occurred on the right side of the L2,3 intervertebral disc (6.282 MPa) after manual intervention in the control group. ④ The maximum joint process stress occurred on the right side of the L4 upper joint process after manual intervention in the experimental group (1.587 MPa). The joint process stress on the left side below L1 and the left side above and below L2 induced by manual intervention in the experimental group was lower than that of the control group (P<0.05). ⑤The maximum stress on the intertransverse process muscle was observed at the right lateral L3 process end (31.960 MPa) of L3,4 in the control group after manual intervention. The stress on the L2,3 and L4,5 segments of the intertransverse process muscle induced by manual intervention in the experimental group was lower than that of the control group's manual intervention (P<0.05).
CONCLUSION
The mechanical feedback of the L1-L5 vertebral body, the lower left side of the articular process L1, the upper and lower left side of the articular process L2, and the L2,3 and L4,5 segments of the transverse process muscle in the model indicates that performing American Chiropractic for the treatment of third lumbar transverse process syndrome can accurately hit the target pain point and allow the patient's tissue to form a low stress and low tension state after manual operation, thereby reducing the possibility of tissue damage caused by hypertonia after intervertebral joint movement, making it relatively safe. The application of American Chiropractic will be a new supplement to the traditional treatment plan for third lumbar transverse process syndrome.
Humans
;
Finite Element Analysis
;
Male
;
Lumbar Vertebrae/physiopathology*
;
Biomechanical Phenomena
;
Young Adult
;
Manipulation, Chiropractic
;
Adult
;
Tomography, X-Ray Computed
;
Magnetic Resonance Imaging
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.Homotherapy for hetropathy of ischemic stroke and hemorrhagic stroke through common metabolites
Shaojing CHEN ; Ping JIANG ; Shujie SHEN ; Jie YU ; Ying GAO ; Mingying SHANG ; Guangxue LIU ; Shaoqing CAI ; Feng XU
Chinese Journal of Cerebrovascular Diseases 2025;22(4):277-284
Ischemic stroke and hemorrhagic stroke have different pathogenic mechanisms,but share similarities in metabolic dysregulation,inflammatory responses and oxidative stress.This paper summarized 28 metabolic markers shared between ischemic stroke and hemorrhagic stroke with consistent trends through literature review.It also provided an overview of their involvement in abnormal energy metabolism,inflammatory responses,blood-brain barrier disruption,and neural damage in relation to stroke.The aim is to provide a scientific basis for future prognosis,curative efficacy evaluation and future homotherapy of ischemic stroke and hemorrhagic stroke,and provide insights for the development of new therapies and new drugs.
8.Effect of the axial position of posterior chamber phakic intraocular lens on the early postoperative vault changes
Yi-lin XU ; Qian JIAN ; Xun CHEN ; Yin-jie JIANG ; Ling-ling NIU ; Xiao-ying WANG
Fudan University Journal of Medical Sciences 2025;52(1):83-90
Objective To observe the early changes of vault after implantation of posterior chamber phakic intraocular lens implantable collamer lens(ICL),and investigate the effect of different implantation axes on the early vault changes.Methods A prospective,parallel cohort study was performed,enrolling a total of 124 eyes of who underwent ICL(V4c)implantation in the refractive clinic.The changes of vault were observed by scheimpflug tomography(Pentacam)and anterior segment optical coherence tomography(CASIA2)at 1 day,1 week and 1 month after surgery.Results The ICL vault declined significantly by approximately(108.2±82.4)μm 1 week after surgery with the proportion of 16.6%±12.1%compared with the values 1 day after surgery(P<0.001),and then remained stable.Within 1 month after surgery,excluding the difference in vault baseline at 1 day after surgery,the proportion of vault decline in the middle vault group(250-749 μm)and the high vault group(≥750 μm)was similar,and there was no statistically significant difference.We analyzed the relationship between ICL axial directions and vault and found that the vault decline of the horizontal ICL group stabilized quickly at 1 week after surgery,and the vault decline of the vertical ICL group was more significant within 1 month after surgery(P<0.05).Conclusion The vault of the ICL shows a downward trend in the early stage after implantation.The middle vault group and ICL in the horizontal position stabilizes faster,and the downward trend of the high vault group or ICL in the vertical position is more obvious.
9.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.
10.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.

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