1.Regulation of Notch1/Hes1 signaling axis by total flavonoids of Drynariae Rhizoma for promoting chondrocyte autophagy and inhibiting apoptosis:a mechanistic study
China Pharmacy 2026;37(8):1027-1032
OBJECTIVE To investigate the effects of total flavonoids of Drynariae Rhizoma (TFRD) on autophagy and apoptosis in LPS-induced chondrocytes via the regulation of the Notch1/hairy and enhancer of split 1 (Notch1/Hes1) signaling axis. METHODS Human chondrocyte cell line C28/I2 cells were cultured with 5 μg/mL LPS to esta blish in vitro inflammatory injury model. The cells were separated into normal control group, model group, TFRD group (200 μg/mL), TFRD+peroxiredoxin 1 (Prdx1) small interfering RNA (si-Prdx1) group and TFRD+si-Prdx1 negative control (si-NC) group, with 6 replicate wells in each group. Cells were transfected with si-Prdx1 or si-NC for 24 hours, pretreated with TFRD for 2 hours, and then exposed to LPS, with a total culture duration of 48 hours. Apoptotic rate, the proportion of apoptotic cells, monodansylcadaverine (MDC) fluorescence intensity, as well as the contents of matrix metalloproteinase-13 (MMP-13), a disintegrin and metalloproteinase with thrombospondin motifs 5 (ADAMTS5), and cartilage oligomeric matrix protein (COMP) were measured. Additionally, the protein expression levels of X-linked inhibitor of apoptosis protein (XIAP), poly(ADP-ribose) polymerase 1 (PARP1), Beclin-1, microtubule-associated protein 1 light chain 3 Ⅱ/Ⅰ (LC3-Ⅱ/Ⅰ), PTEN-induced putative kinase 1 (PINK1), Notch1, Hes1, and Prdx1 were assessed. RESULTS Compared with model group, the apoptotic rate, the proportion of apoptotic cells, the contents of MMP-13 and ADAMTS5 as well as protein expressions of PARP1 were significantly decreased, while MDC fluorescence intensity, COMP content, protein expressions of XIAP, Beclin-1, LC3-Ⅱ/Ⅰ, PINK1, Notch1, Hes1 and Prdx1 were significantly increased ( P <0.05). Compared with TFRD+si-NC group, the changes in the aforementioned indicators (except for Notch1 and Hes1) in the cells of the TFRD+si-Prdx1 group were significantly reversed ( P <0.05). CONCLUSIONS TFRD may activate the Notch1/Hes1 signaling axis, and up-regulate the expression of the downstream target molecule Prdx1, thereby inhibiting LPS-induced chondrocyte apoptosis, promoting protective autophagy, and consequently improving cartilage metabolic homeostasis.
2.Associations between Metabolic Syndrome Indicators and Colon Polyps: A Mendelian Randomization Study
Dongya CHEN ; Hong XU ; Zhaolin ZHANG ; Fang CHEN ; Qingqing LU ; Feng PAN
Endocrinology and Metabolism 2026;41(2):256-266
Background:
While observational studies have suggested a potential link between metabolic syndrome (MetS) and an increased risk of colon polyps, the causal nature of this association remains uncertain. This study used a two-sample Mendelian randomization (MR) approach to evaluate the relationship between MetS and colon polyps.
Methods:
A two-sample MR analysis was performed using data on MetS, its indicators, and colon polyps obtained from publicly available genome-wide association studies in the Integrative Epidemiology Unit (IEU) and MAGIC databases. Outliers were removed using Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO), followed by MR calculations and false discovery rate (FDR) correction. The primary analysis was conducted with the inverse variance-weighted (IVW) method.
Results:
The IVW results indicated no association between hypertension, hyperlipidemia, or diabetes and the risk of colon polyps. High-density lipoprotein cholesterol (HDL-C) (P=0.005), 2-hour glucose (P=0.004), glycated hemoglobin A1c (P=0.004), and the ratio of omega-6 to omega-3 fatty acids (P<0.001) were negatively associated with colon polyps. Conversely, body mass index (BMI) (P<0.001), body fat percentage (P=0.002), waist-to-hip ratio adjusted for BMI (P=0.001), total cholesterol (TC) (P=0.002), triglycerides (TG) (P<0.001), and both omega-3 (P<0.001) and omega-6 fatty acid levels (P=0.02) were positively associated with colon polyps. The relationships between these metabolic indicators and colon polyps remained significant after FDR correction.
Conclusion
Obesity-related traits, TC, and TG may increase the risk of colon polyps, while HDL-C may have a protective effect.
3.Advances in the application of digital technology in orthodontic monitoring
WANG Qi ; LUO Ting ; LU Wei ; ZHAO Tingting ; HE Hong ; HUA Fang
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(1):75-81
During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.
4.Research progress on pharmacological action and mechanism of genistein
Xin-yi XU ; Fang-ying WU ; Chang-hong MIAO ; Cun-zhong SHI ; Lu XIAO
Chinese Pharmacological Bulletin 2025;41(9):1624-1629
Genistein is a naturally occurring compound widely found in leguminous plants and is the primary active ingredient in traditional Chinese medicinal herbs such as Astragalus,Puer-aria lobata(Kudzu),Fagopyrum esculentum(Buckwheat),and Rhodiola.Modern pharmacological research indicates that genistein possesses a variety of biological activities,including anti-inflammatory,antioxidant,antitumor,lipid-lowering,an-tidiabetic,anti-ultraviolet,and neuroprotective effects.There-fore,by summarizing and generalizing the pharmacological ac-tions and mechanisms of genistein,it is hoped to provide a basis for its clinical application and drug development.
5.Molecular characterization of newly emerging goose astrovirus variants and novel strains prevailed in part regions of China in 2022
Xiaomeng LU ; Jinrong LI ; Hong YIN ; Junxi FANG ; Jiye GAO ; Jixiang LI
Chinese Journal of Veterinary Science 2025;45(9):1868-1877
Goose astrovirus(GAstV)has become one of the most important pathogens endangering the goose farming industry in China.To discover the genomic information of prevalent strains in China in 2022 and reveal their biological characteristics,the whole genomes of 9 strains of GAstV-1 and 12 strains of GAstV-2 isolated from parts of China in 2022 were sequenced by the Chromo-some Walking and analyzed by bioinformatics software and websites.The analysis results of gene structure showed that the sizes of the coding genes ranged from 6 977 to 7 215 bp.The open read-ing frame 1(ORF1)of all strains contained the characteristic motifs of serine protease,nuclear lo-calization signal(NLS)and RNA-dependent RNA polymerase(RdRp).The ribosomal frameshift signals(RFS)were all in the form of stem-loop structures.However,the numbers of stem and loop nucleotides in GAstV-1 were"14+11"configuration,while those in GAstV-2 were"12+14"configuration,and the loop of GAstV-2 was in the"8+6"double-loop configuration.The results of homological analysis for ORF1b showed that the homology of the GAstV-1 isolats compared with the representative strains of avian astrovirus types 1,2,and 3(AAstV-1,AAstV-2,AAstV-3)ranged from 7%to 64%,and the homology of the GAstV-2 isolates ranged from 8%to 68%.The average genetic distances of ORF2 were 0.9,1.2,and 0.9 respectively compared with the represent-ative strains of AAstV-1,AAstV-2 and AAstV-3.While for the GAstV-2 isolates,the highest ho-mologies were 68%and 56%,the lowest homologies were 8%and 36%respectively.And the aver-age genetic distances of ORF2 were 1.0,1.2,and 0.5 respectively.B-cell-conformational epitopes screening results of ORF2 showed that,there were four common epitopes in the GAstV Group 1 i-solates,namely PRE,LALQSQSVNTFA,AAG and YQQVTSDQSI except for N-145,N-287 and N-314 in the two strains G1FJ267 and G1JS277.And there were seven common conformational epitopes in the GAstV-2 isolates,namely NQE,RAN,GPE,PRQ,TRAQ,SNS,and AVPPNTPL except for N-83,N-136,N-331 and N-351 in the strain G2FJ283-3B.The above results indicated that GAstV maybe belong to a new type of AAstV because of the difference between the clinical i-solates and the known strains of AAstV.And there was pathogenic diversity among the isolates.All the isolates of GAstV-1 and GAstV-2 belong to two different serotypes,and the possible serologi-cal subtypes among the isolates of GAstV-1 or GAstV-2 are remained to be further identified by serological tests.
6.Consensus on informed consent for orthodontic treatment
Yang CAO ; Bing FANG ; Zuolin JIN ; Hong HE ; Yuxing BAI ; Lin WANG ; Haiping LU ; Zhihe ZHAO ; Tianmin XU ; Weiran LI ; Min HU ; Jinlin SONG ; Jun WANG ; Fang JIN ; Ding BAI ; Xianglong HAN ; Yuehua LIU ; Bin YAN ; Jie GUO ; Jiejun SHI ; Yongming LI ; Zhihua LI ; Xiuping WU ; Jiangtian HU ; Linyu XU ; Lin LIU ; Yi LIU ; Yanqin LU ; Wensheng MA ; Shuixue MO ; Liling REN ; Shuxia CUI ; Yongjie FAN ; Jianguang XU ; Lulu XU ; Zhijun ZHENG ; Peijun WANG ; Rui ZOU ; Chufeng LIU ; Lunguo XIA ; Li HU ; Weicai WANG ; Liping WU ; Xiaoxing KOU ; Jiali TAN ; Yuanbo LIU ; Bowen MENG ; Yuantao HAO ; Lili CHEN
Chinese Journal of Stomatology 2025;60(12):1327-1336
This consensus was developed by the Orthodontic Society of the Chinese Stomatological Association to provide a systematic, scientific, and practical guideline for informed consent in orthodontic care. Orthodontic treatment is typically lengthy, highly individualized, and involves multiple factors such as growth and development, occlusal function, and facial esthetics. Rapid technological advances and diverse risk profiles make the traditional reliance on orthodontist experience or institutional templates insufficient to ensure patients′ full understanding and autonomous decision-making. To address this, the expert panel conducted extensive reviews of domestic and international guidelines, analyzed representative dispute cases, and performed multicenter patient-clinician surveys. Using a multi-round Delphi method, the group established a standardized informed consent framework covering the initial consultation, treatment, and retention phases. The consensus emphasizes that informed consent is not only a fundamental legal and ethical requirement but also a key step in building trust, improving patient compliance, and enhancing treatment satisfaction. Orthodontists should clearly and comprehensively explain treatment plans, potential risks, uncertainties, and associated costs, while respecting the autonomy of patients or guardians, and maintain continuous communication and dynamic evaluation throughout the treatment process. The release of this consensus provides unified and authoritative guidance for clinical orthodontics, helping to standardize informed consent, enhance its transparency, safeguard patient rights, reduce medical risks, and promote high-quality, sustainable development of orthodontic practice.
7.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.
8.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
9.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
10.Molecular characterization of newly emerging goose astrovirus variants and novel strains prevailed in part regions of China in 2022
Xiaomeng LU ; Jinrong LI ; Hong YIN ; Junxi FANG ; Jiye GAO ; Jixiang LI
Chinese Journal of Veterinary Science 2025;45(9):1868-1877
Goose astrovirus(GAstV)has become one of the most important pathogens endangering the goose farming industry in China.To discover the genomic information of prevalent strains in China in 2022 and reveal their biological characteristics,the whole genomes of 9 strains of GAstV-1 and 12 strains of GAstV-2 isolated from parts of China in 2022 were sequenced by the Chromo-some Walking and analyzed by bioinformatics software and websites.The analysis results of gene structure showed that the sizes of the coding genes ranged from 6 977 to 7 215 bp.The open read-ing frame 1(ORF1)of all strains contained the characteristic motifs of serine protease,nuclear lo-calization signal(NLS)and RNA-dependent RNA polymerase(RdRp).The ribosomal frameshift signals(RFS)were all in the form of stem-loop structures.However,the numbers of stem and loop nucleotides in GAstV-1 were"14+11"configuration,while those in GAstV-2 were"12+14"configuration,and the loop of GAstV-2 was in the"8+6"double-loop configuration.The results of homological analysis for ORF1b showed that the homology of the GAstV-1 isolats compared with the representative strains of avian astrovirus types 1,2,and 3(AAstV-1,AAstV-2,AAstV-3)ranged from 7%to 64%,and the homology of the GAstV-2 isolates ranged from 8%to 68%.The average genetic distances of ORF2 were 0.9,1.2,and 0.9 respectively compared with the represent-ative strains of AAstV-1,AAstV-2 and AAstV-3.While for the GAstV-2 isolates,the highest ho-mologies were 68%and 56%,the lowest homologies were 8%and 36%respectively.And the aver-age genetic distances of ORF2 were 1.0,1.2,and 0.5 respectively.B-cell-conformational epitopes screening results of ORF2 showed that,there were four common epitopes in the GAstV Group 1 i-solates,namely PRE,LALQSQSVNTFA,AAG and YQQVTSDQSI except for N-145,N-287 and N-314 in the two strains G1FJ267 and G1JS277.And there were seven common conformational epitopes in the GAstV-2 isolates,namely NQE,RAN,GPE,PRQ,TRAQ,SNS,and AVPPNTPL except for N-83,N-136,N-331 and N-351 in the strain G2FJ283-3B.The above results indicated that GAstV maybe belong to a new type of AAstV because of the difference between the clinical i-solates and the known strains of AAstV.And there was pathogenic diversity among the isolates.All the isolates of GAstV-1 and GAstV-2 belong to two different serotypes,and the possible serologi-cal subtypes among the isolates of GAstV-1 or GAstV-2 are remained to be further identified by serological tests.


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