1.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.
2.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.
3.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.
4.Antimicrobial susceptibility and phylogenetic analysis of 31 Nocardia isolates
Xin-yan DONG ; Li-heng ZHENG ; Wei-li GAO ; Hong ZHANG ; Fei LU ; Yu-mei GUO
Chinese Journal of Zoonoses 2025;41(6):636-640
This study investigated the disease characteristics and clinical traits of Nocardia infection,and analyzed the antibiotic resistance phenotypes,antibiotic resistance genes,and evolutionary characteristics of the strains,to provide a basis for Nocardia diag-nosis and treatment.A total of 31 Nocardia strains from a hospital in Hebei Province were collected from 2020 to 2023.The strains were identified through mass spectrometry and whole genome sequencing.Antibiotic susceptibility testing was conducted with the broth macrodilution method,and whole genome sequencing data were used to predict antibiotic resistance genes and comprehensively ana-lyze antibiotic resistance phenotypes.The 31 strains of Nocardia comprised 21 strains of Nocardia farcinica,3 strains of Nocardia ter-penica,three strains of Nocardia brasiliensis,two strains of Nocardia cyriacigeorgica,and two strains of Nocardia nova.The ceftriaxone susceptibility of 21 Nocardia farcinica strains was 85.7%,and all 31 strains were susceptible to imipenem,except for three strains of Nocardia brasiliensis.Rifampicin,aminoglycoside,and β-lactam resistance genes were found in Nocardia farcinica.Pathogenic tests should be carried out in a timely manner for suspected Nocardia infections.In clinical treatment of Nocardia infection,infected strains should be confirmed,and antibiotics should be used rationally according to the antibiotic susceptibility test results.
5.Analysis on Screening Results of Breast Cancer Among Women Aged 45~74 in Chongqing from 2012 to 2022
Jia DU ; Zhikai YU ; Shenglin ZHAO ; Yan ZHANG ; Qing GUO ; Xiu LIU ; Hong ZHOU ; Mei HE
China Cancer 2025;34(1):43-51
[Purpose]To analyze the results of breast cancer screening among women aged 45~74 in Chongqing from 2012 to 2022 and compare the risk of breast cancer among women with differ-ent characteristics.[Methods]The Urban Cancer Early Diagnosis and Treatment Program was con-ducted in Chongqing from 2012 to 2022,female residents aged 45~74 years old participated in breast cancer screening.The participants who were assessed as at high risk of breast cancer in the preliminary screening were advised to receive ultrasonography and mammography examination in designated hospitals.The study population was followed up annually to obtain information on their health outcomes.The high risk rate of breast cancer,compliance of further examination,the inci-dence density and breast cancer risk were calculated.[Results]A total of 207 891 women com-pleted the questionnaires survey and risk assessment,and 35 947 were assessed as the individuals with high risk of breast cancer with a high risk rate of 17.29%.Among them 14 713 received the imaging screening with a compliance rate of 40.93%.After a mean follow-up of(5.43±3.01)years,847 cases of breast cancer were diagnosed with a cumulative incidence rate of 407.43/105,an in-cidence density of 75.03/105 person-years(95%CI:70.15/105~80.26/105 person-years).Cox pro-portional hazards regression showed that the risk of breast cancer was higher in obese women than that in normal weight women(HR=1.26,95%CI:1.00~1.59);the risk of breast cancer was signifi-cantly higher in those with family history of breast cancer than that in those without family history(HR=1.69,95%CI:1.36~2.09).Compared with non-high-risk groups of breast cancer,the risk of breast cancer was increased in high-risk individuals who were screened or not screened(HR=1.36,95%CI:1.06~1.73 and HR=1.26,95%CI:1.01~1.56).[Conclusion]The breast cancer screening program combining primary risk assessment with ultrasonography and mammography for the high-risk groups can improve the detection rate,and the compliance rate of imaging screening need to be improved in the future and make accurate screening for people with high risk of breast cancer.
6.Epidemiological characteristics analysis of monkey injury cases caused in Qianlingshan Park, Guiyang City, Guizhou Province
Cai YANG ; Yun CHEN ; Yu CHANG ; Li LI ; Qiying PAN ; Tingting LU ; Dan CHEN ; Chengxian HE ; Mei HUANG ; Liusong YANG ; Tingqin RAO ; Su GUO ; Chong LUO ; Lihong ZHOU ; Xin MU ; Li LIU ; Yayu YANG ; Yuandong HU
Chinese Journal of Preventive Medicine 2025;59(10):1685-1690
Objective:To analyze the epidemiological characteristics of cases involving monkey injuries at medical institutions surrounding Qianlingshan Park in Guiyang City, and to provide a reference basis for preventive measures to reduce monkey injuries and standardized post-exposure treatment.Methods:A retrospective cross-sectional study was conducted, collecting 1 900 cases of monkey-induced injuries in Qianlingshan Park treated at the outpatient clinic of Guizhou Provincial Center for Disease Control and Prevention and the Department of Surgery at Qianling Hospital, Guiyang City, from 2021 to 2024. Statistical analysis was performed using Pearson′s chi-square test.Results:Total of 1 900 cases of monkey-related injuries in Qianlingshan Park were collected from 2021 to 2024. The exposure time distribution exhibited significant seasonality, with 48.58% of cases occurring during July and August, totaling 923 cases, indicating a peak in the summer. There were 774 male patients and 1 126 female patients, with a ratio of 1∶1.45.and significant differences were observed between different age groups and genders (χ2=195.00, P<0.001), with the highest number of cases occurring in the 0-9 and 20-29 age groups, accounting for 22.05%(419 cases) and 21.79%(414 cases), respectively. The upper limbs were the most common injury site, accounting for 50.84% of the total cases(966 cases in total), with significant differences between gender and injury location (χ2=22.00, P<0.001), Among females, the proportion of injuries to the upper and lower limbs (30.11% and 16.47%, respectively) was higher than that among males (20.74% and 8.63%, respectively). The majority of injuries were classified as Grade Ⅲ, making up 57.38% of cases(1 069 cases in total). Self-treatment after exposure was the most common approach(60.44%), with significant differences observed between wound severity and treatment method (χ2=6.90, P=0.032), Patients with Grade Ⅱ and Grade Ⅲ wounds were more likely to choose self-management (26.84% and 33.23%, respectively) than outpatient management (15.14% and 24.15%). Approximately 98.05% (1 863 cases) of monkey-injured patients had received rabies vaccinations. Conclusions:This study analyzes monkey-related injuries in Qianlingshan Park from 2021 to 2024, clarifying the temporal distribution of injuries, demographic characteristics, injury sites, and treatment methods. The findings provide references for optimizing human-monkey conflict management and the prevention and control of zoonotic diseases in urban ecological parks.
7.Screening of material basis for Rhei Radix et Rhizoma on improving human umbilical vein endothelial cell injury before and after carbonization based on spectrum-effect relationship
Ting ZHAI ; Li-tao LU ; Jiang-wei HE ; Ya-fei GUO ; Mei GUO ; Xin-yu ZHU
Chinese Traditional Patent Medicine 2025;47(7):2163-2171
AIM To screen the material basis for Rhei Radix et Rhizoma on improving human umbilical vein endothelial cell(HUVECs)injury before and after carbonization.METHODS The HPLC fingerprints were established,after which difference analysis was performed by orthogonal partial least squares discriminant analysis.The LPS-induced HUVECs injury model was established,then NO,MDA levels and SOD activity were detected.Gray correlation analysis and partial least squares regression were adopted in the investigation of spectrum-effect relationship,and active constituents were screened.RESULTS There were 22 and 20 common peaks in the fingerprints for 17 batches of raw products and carbonized products,respectively,along with the similarities of more than 0.8.Twelve main difference components were observable,among which gallic acid,5-hydroxymethylfurfural,catechin,aloe rhodopsin-8-O-β-D-glucoside,rhubarbic acid-8-O-β-D-glucoside and sennosides A were identified.The carbonized products demonstrated stronger effect on improving HUVECs injury than the raw product.The correlations of common peaks were more than 0.5 in the fingerprints for raw products and carbonized products,and peaks 3,5,11,12,15,19,23 exhibited significant effects on their efficacy(VIP values>1).CONCLUSION This accurate,reliable and reproducible method can provide a basis for clarifying the material basis for hemostatic efficacy of Rhei Radix et Rhizoma and its carbonized product.
8.Clostridium butyricum ameliorates ulcerative colitis in mice by regulating intestinal microbiota and enhancing autophagy
Lu MEI ; Ye ZHAO ; Yilian GUO ; Yiqing GUO ; Huang HUANG ; Yong YU ; Yang MI ; Pengyuan ZHENG
Chinese Journal of Microbiology and Immunology 2025;45(10):860-868
Objective:To investigate the effects of Clostridium butyricum on ulcerative colitis(UC)in mice and its impact on gut microbiota and autophagy levels. Methods:Eighteen C57BL/6J mice were randomly divided into a control group,a model group,and a treatment group,with six mice in each group using simple random sampling. Mice in the model and treatment groups were freely given 2.5% dextran sulfate sodium salt(DSS)solution for 5 days to establish a UC model. After successful modeling,the control and model groups were gavaged with PBS,while the treatment group was gavaged with 5×10 8 CFU/ml of live Clostridium butyricum. After the intervention,changes in body weight,disease activity index(DAI),colonic length,and pathological conditions were compared among the groups. Fluorescence quantitative PCR was used to detect the expression levels of intestinal inflammatory cytokines IL-1β and TNF-α. Myeloperoxidase(MPO)levels were analyzed,and Western blot was employed to detect the expression levels of zonula occludens-1(ZO-1),Occludin,LC3Ⅱ/LC3I,p62,and AMP-activated protein kinase/mammalian target of rapamycin AMPK/mTOR proteins. High-throughput sequencing technology was utilized to analyze the intestinal microbiota of the mice. Results:Compared with mice in the control group,the mice in the model group exhibited significant weight loss,markedly increased DAI and inflammation levels( P<0.01),destruction of colonic structure,decreased expression levels of intestinal tight junction proteins( P<0.05),suppressed autophagy levels( P<0.05),and dysbiosis of the intestinal microbiota. In contrast,mice in the treatment group had a slower weight decline compared to the model group( P<0.000 1),reduced DAI( P<0.01),down-regulated inflammation levels( P<0.01),improved barrier function( P<0.05),up-regulated autophagy levels( P<0.01),and an improved intestinal microbiota composition. Conclusions:Clostridium butyricum may ameliorate UC by modulating the intestinal microbiota composition,and enhancing autophagy levels,thus improving intestinal barrier function and inhibiting inflammatory progression in UC mice.
9.CNV Encompassing SNP Detection by Cross-reactivity Probe
Xiao-Mei HU ; Chen ZHOU ; Pin-Zheng ZHANG ; Yang CHEN ; Jia-Wen LI ; Yu-Kai MA ; Jia-Qi WANG ; Zhi-Yi GUO
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):895-902
Copy number variation encompassing SNP plays an important role in IVD and precision medi-cine.As the most commonly used method,FISH could not overcome the probe cross-reactivity which is common when to detect SNP.Here we developed a quantitative and qualitative method on copy number variation encompassing SNP.In this study,the rs76711854 was used as an example to establish a quanti-tative method by advantage of probe cross-reactivity.The fragment encompassing rs76711854 and its downstream to 9 514 bp were amplified by PCR.The allelic genotypes were verified by Sanger sequen-cing.Different probes with or without cross-reactivity to be used via quantitative real-time PCR and digit-al PCR.The different clusters(2D)and fluorescence intensity layers(1D)exist by adding probe with cross-reactivity.The A/G ratio measured by digital PCR is 2︰1,which is verified by probe targeting to the SNP.The copy-number variant exists in the 9kb-long fragment upstream to the SNP of prostate cancer cell line but not in human endometrial adenocarcinoma cell line Ishikawa.The data suggest that there is a multi-copy variation at this locus in DU145 cells.The method applied here is based on one single cross-reactivity probe via digital PCR.
10.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

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