1.Exploring the Path of Ideological and Political Construction in Biology Major Courses Empowered by Digital Intelligence
Wei-Ye SHI ; Xue-Ling GUO ; Yu FU ; Xiao-Lei ZHOU ; Ying-Ze WANG
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):914-923
The aim of this study is to explore a new path of empowering ideological and political educa-tion in courses with digital intelligence technology,therefore to improve the teaching quality of biology courses in universities,promote the comprehensive implementation of the fundamental task of cultivating morality and talents,and continuously improve the level of"three pronged education".By using the biol-ogy course"Immunology"as a practical carrier,we have constructed a dual-driven framework of"ideo-logical and political guidance+digital intelligence empowerment"utilizing digital tools to further highlight pedagogical feature enhancement,curricular optimization,innovative teaching models,multidimensional assessment,and enhanced teaching refinement.The empowerment of digital intelligence in the ideological and political construction of the course"Immunology"has achieved notable progress.Students' profes-sional abilities and ideological and political literacy have significantly improved,and the proportion of students with excellent grades has been increasing year by year(81.93%of students with good grades or above in 2024),demonstrating outstanding performance in various social practice activities;The course exhibits excellent demonstration and radiation effects on campus,and the teaching results have been sup-ported by the Ministry of Education and provincial-level education reform projects.This study serves as a practical example for the digital transformation of ideological and political education in higher education courses,providing reference and innovative insights for implementing ideological and political elements in other courses of biology majors.
2.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.
3.Genetic diversity analysis of oxacillinase in 241 clinical isolates of Pseudomonas aeruginosa
Yuelong LI ; Jingyi ZHANG ; Yubing FU ; Meiqing SUN ; Beibei MIAO ; Xinyi GONG ; Xiao HAN ; Huan XING ; Pengfang GAO ; Jiachen LI ; Yating TANG ; Xinya FAN ; Yanlei GE ; Haijian ZHOU ; Juan LI ; Aiying DONG
Chinese Journal of Preventive Medicine 2025;59(7):1004-1012
Objective:To analyze the carriage status, subtype distribution and flanking gene sequence characteristics of oxacillinases (OXA enzyme) in 241 clinical strains of Pseudomonas aeruginosa, and assess their roles in the drug resistance of Pseudomonas aeruginosa and ability to horizontally transfer across species. Methods:Clinical P. aeruginosa isolates were collected from four hospitals in Sanya, Tangshan, Zhangjiakou, and Beijing. The prevalence of oxacillinases and their flanking gene sequences was analyzed by whole-genome sequencing (NGS) and bioinformatic approaches. Results:A total of 241 isolates of P. aeruginosa were gathered, and 35 blaOXA subtypes were identified through screening of 252 blaOXA genes. These genes were classified into three subfamilies: blaOXA-50-like (241, 95.6%), blaOXA-1-like (9, 3.6%) and blaOXA-10-like (2, 0.8%). Among these, 11 subtypes (11, 31.4%) were novel blaOXA subtypes. Nine of these belonged to the blaOXA-50-like subfamily and were designated as blaOXA-1244, blaOXA-1245, blaOXA-1246, blaOXA-1250, blaOXA-1252, blaOXA-1253, blaOXA-1254, blaOXA-1255, and blaOXA-1256. The remaining two belonged to the blaOXA-10-like subfamily and were named blaOXA-1247 and blaOXA-1248. Compared to the amino acid sequence of OXA-10, the newly identified subtype OXA-1247 exhibited a mutation at position 117, where a valine was replaced by a leucine. This change was thought to improve the enzyme′s ability to hydrolyze carbapenems. In the analysis of the flanking sequences of the blaOXA genes, Class I integrons were identified in four bacterial strains. The variable regions of these integrons carried three distinct patterns of resistance gene cassettes: aac( 6′) -Ib-blaOXA-1247-ant( 3′′) -Ia, aac( 6′) -Ib-blaOXA-1248 and aac( 6′) -Ib- blaIMP-45-blaOXA-1-catB3. Among these, the strain BJ2326 carried a class I integron that was connected to the downstream IS CR1 element to form a composite class I integron structure, additionally carrying the resistance gene blaPER-1. Out of the 223 non-wild-type P. aeruginosa strains, 127 strains exhibited non-wild-type profiles to the four beta-lactam antibiotics MEM, CAZ, FEP, and TZP, with the combination of MEM+CAZ+FEP being the most prevalent, representing 57.0% of the total. Conclusions:The blaOXA genes in 241 clinical P. aeruginosa strains showed diversity. Some blaOXA genes had a co-transfer risk with the metallo-β-lactamase resistance gene blaIMP-45. Among the 11 newly discovered blaOXA subtypes, the new subtype OXA-1247 may have carbapenemase activity and potential for horizontal transfer.
4.Construction of a high-efficiency risk-prediction model for urinary tract infection after BPH surgery based on machine learning algorithm
Guiping FU ; Xiao LIU ; Zhengdong HONG ; Dongping ZHOU
National Journal of Andrology 2025;31(10):874-880
Objective To explore the risk factors for urinary tract infection(UTI)after benign prostatic hyperpla-sia(BPH)surgery,and construct a high-efficiency risk-prediction model based on machine learning algorithms(MLA).Methods This retrospective study included 200 cases of BPH surgically treated in Xinyu Hospital of Traditional Chinese Medicine from May 2020 to April 2023.Twenty-three cases were included in the UTI group,and 177 were enrolled into the non-UTI group.The relevant data were collected and analyzed for the statistically significant factors by univariate logistic analysis by using the SPSS software,MLA-based logistic regression,back-propagation(BP)neural networks and decision classification and regression tree(CRT).And the predictive values of the models established via different algorithms using the area under the receiver operating characteristic curve(AUC)were compared.We assessed the prediction accuracy of the models and identified one with the best prediction efficiency based on the mean absolute error(MAE).Results Univariate analysis indicated statisti-cally significant differences between the UTI and non-UTI groups in age,comorbid diabetes mellitus(DM),urinary catheter-in-dwelling time,prostate volume,preoperative catheterization,preoperative IPSS(P<0.05).The independent predictive varia-bles for UTI after BPH surgery were shown to be age,IPSS,comorbid DM and prostate volume by the method of multivariate lo-gistic regression model(P<0.05).Age,urinary catheter-indwelling time,prostate volume and IPSS were assessed as the influ-ence factors by the CRT model(P<0.05),and prostate volume,IPSS,age and urinary catheter-indwelling time were assessed as the influence factors by the BP neural network model(P<0.05).Among the 3 risk-prediction models,the one constructed with the BP neural networks exhibited the best prediction efficiency(AUC:0.992,the optimal truncation value:0.912,corre-sponding sensitivity and specificity:0.957 and 0.955).Conclusion The risk-prediction model constructed by MLA and BP neural networks based on the characteristic factors of age,preoperative urinary retention catheterization,urinary catheter-indwell-ing time,IPSS and comorbid DM has a high predictive value for UTI after BPH surgery which can be applied to the identification and management of such high-risk population.
5.Study on the efficacy and mechanism of Qingre xiaoyanning against influenza A H3N2 virus
Shasha ZHOU ; Xueqing CHENG ; Dongdong PENG ; Xiaoqing WANG ; Lijun FU ; Wenxi XIAO ; Guomin ZHANG
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(3):347-354
AIM:To investigate the antiviral effica-cy and mechanism of Qingre Xiaoyanning(QRXYN)in vivo,and provide experimental basis for their prevention and treatment of influenza A virus.METHODS:We constructed a mouse model infect-ed with influenza A H3N2 virus.To evaluate the therapeutic effect of QRXYN on influenza A virus,we measured the body weight changes,pathologi-cal changes in lung tissue,hemagglutination titer,and viral load in mouse.To evaluate the possible mechanism of QRXYN's anti influenza A virus infec-tion,we used the ELISA to measure the levels of TNF-α,IL-1β,IL-4,IFN-γ,and vascular cell adhesion molecule-1(VCAM-1)in mouse bronchoalveolar Ia-vage fluid;used flow cytometry to assess the pro-portions of macrophages(F4/80),helper T lympho-cytes(CD4+T lymphocytes),and natural killer(NK)cells in lung tissue;and used Western blotting to detect the expression of Toll-like receptor 4(TLR4),myeloid differentiation factor 88(MYD88),inhibitor of kappa B kinase-β(IKK-β),NF-kappa-B inhibitor al-pha(IκBα),and phospho-IKB alpha(p-IκBα)in lung tissue.RESULTS:Compared to the model group,both Oseltamivir and QRXYN can alleviate the se-verity of lung tissue lesions in mice,decrease the blood coagulation titer and viral load of mouse lung tissue(P<0.01),lower the levels of TNF-α,IL-4,and VCAM-1 in bronchoalveolar lavage fluid(P<0.05,P<0.01),reduce the proportion of macro-phages(P<0.05,P<0.01),and increase the propor-tion of CD4+T lymphocytes and NK cells(P<0.05,P<0.01).Additionally,oseltamivir can reduce the ex-pression of MYD88 protein in mouse lungs(P<0.05),while QRXYN can decrease the expression of IKK-β and P-IκBα proteins in mouse lungs(P<0.05).CONCLUSION:QRXYN have good in vivo antiviral ef-fects against the influenza A virus,and their mecha-nism may be related to the regulation of the immu-nologic function and NF-κB signal pathway.
6.Study on the efficacy and mechanism of Qingre xiaoyanning against influenza A H3N2 virus
Shasha ZHOU ; Xueqing CHENG ; Dongdong PENG ; Xiaoqing WANG ; Lijun FU ; Wenxi XIAO ; Guomin ZHANG
Chinese Journal of Clinical Pharmacology and Therapeutics 2025;30(3):347-354
AIM:To investigate the antiviral effica-cy and mechanism of Qingre Xiaoyanning(QRXYN)in vivo,and provide experimental basis for their prevention and treatment of influenza A virus.METHODS:We constructed a mouse model infect-ed with influenza A H3N2 virus.To evaluate the therapeutic effect of QRXYN on influenza A virus,we measured the body weight changes,pathologi-cal changes in lung tissue,hemagglutination titer,and viral load in mouse.To evaluate the possible mechanism of QRXYN's anti influenza A virus infec-tion,we used the ELISA to measure the levels of TNF-α,IL-1β,IL-4,IFN-γ,and vascular cell adhesion molecule-1(VCAM-1)in mouse bronchoalveolar Ia-vage fluid;used flow cytometry to assess the pro-portions of macrophages(F4/80),helper T lympho-cytes(CD4+T lymphocytes),and natural killer(NK)cells in lung tissue;and used Western blotting to detect the expression of Toll-like receptor 4(TLR4),myeloid differentiation factor 88(MYD88),inhibitor of kappa B kinase-β(IKK-β),NF-kappa-B inhibitor al-pha(IκBα),and phospho-IKB alpha(p-IκBα)in lung tissue.RESULTS:Compared to the model group,both Oseltamivir and QRXYN can alleviate the se-verity of lung tissue lesions in mice,decrease the blood coagulation titer and viral load of mouse lung tissue(P<0.01),lower the levels of TNF-α,IL-4,and VCAM-1 in bronchoalveolar lavage fluid(P<0.05,P<0.01),reduce the proportion of macro-phages(P<0.05,P<0.01),and increase the propor-tion of CD4+T lymphocytes and NK cells(P<0.05,P<0.01).Additionally,oseltamivir can reduce the ex-pression of MYD88 protein in mouse lungs(P<0.05),while QRXYN can decrease the expression of IKK-β and P-IκBα proteins in mouse lungs(P<0.05).CONCLUSION:QRXYN have good in vivo antiviral ef-fects against the influenza A virus,and their mecha-nism may be related to the regulation of the immu-nologic function and NF-κB signal pathway.
7.Rutaecarpine attenuates lung inflammation in a sepsis mouse model through inhibiting p38 MAPK signaling pathway
Xin-yue ZHANG ; Peng-yan HAO ; Yue FU ; Chao ZHOU ; Jia GUO ; Xiao-jia HUANG
Chinese Pharmacological Bulletin 2025;41(9):1720-1727
Aim To investigate the effects of rutae-carpine(RUT)on lung inflammation in septic mice and the underlying mechanisms.Methods The sepsis mouse model was generated by intraperitoneal injection of lipopolysaccharide(LPS)at 5 mg·kg-1.The mice were randomly divided into the Control group,Model group,Low-dose,Medium-dose,High-dose RUT(5,10,20 mg·kg-1)treatment group and dexamethasone(DEX,2 mg·kg-1),with 10 mice in each group.The mice were intraperitoneally injected with RUT 30 min before LPS injection.HE staining was used to observe the morphology of lung tissues,and activity of my-eloperoxidase was determined to assess the neutrophil infiltration.Wet/dry weight ratio and Evan's blue ex-travasation of lung tissues were examined to assess lung edema.Survival analysis was performed to determine the in vivo protective effects of RUT.ELISA and quan-titative RT-PCR analysis were employed to determine the contents and gene expression of pro-inflammatory mediators,including tumor necrosis factor-α(TNF-α),interleukin-1 β(IL-1 β),IL-6,and IL-18 in lung tis-sues.Western blot was used to detect the protein levels of p38 MAPK,NF-κB,Caspase-1,NOD-like receptor family pyrin domain containing 3(NLRP3)and IL-18.Results RUT at 10-20 mg·kg-1 could dose-de-pendently inhibit leukocyte infiltration,reduce pro-in-flammatory mediator production,vascular permeability and wet/dry weight ratio in lungs,similar to the effects induced by DEX.The mice treated with RUT exhibited increased survival,down-regulated expressions of p-p38 MAPK,p-NF-κB,Caspase-1,NLRP3,and IL-18 pro-teins in lungs,with decreased IL-18 mRNA level.Conclusions RUT exhibits protective effects on sep-sis-induced lung injury,manifested by reduced inflam-mation and edema,potentially via inhibition of p38 MAPK signaling pathway and inflammasome formation.
8.Efficiency analysis and improvement strategies for operating room from a phenomenological perspec-tive:a case study from a tertiary TCM orthopedic hospital
Xiao DU ; Peng YUAN ; Zhuo FU ; Shuhui ZHAI ; Zifan WANG ; Xiang ZHOU
Modern Hospital 2025;25(2):198-201
Objective To explore the efficiency of operating room(OR)and its influencing factors from a phenomeno-logical perspective,proposing corresponding improvement strategies.Methods A phenomenological method was adopted,invol-ving in-depth interviews with 13 surgical team members from a tertiary Traditional Chinese Medicine(TCM)orthopedic hospital in Henan Province,to collect and analyze their multifaceted understanding of OR efficiency.Results The study demonstrated eight interpretative ways of efficiency among team members.The overall framework was largely organization-oriented,with addi-tional human-centered considerations regarding the factors influencing efficiency.Conclusion A unified understanding is crucial for improving both efficiency and quality.This study suggests strategies to optimize OR processes through lean management and human-centered team development to enhance operating room efficiency.Additionally,it highlights the need for future research to incorporate more patient views.
9.Cross-sectional survey of healthcare-associated infection in 5 736 medical institutions across China in 2024
Cui ZENG ; Wuqiang GAO ; Fu QIAO ; Hui ZHAO ; Xu FANG ; Linping LI ; Xiuwen CHEN ; Jiansen CHEN ; Dan LI ; Yuan ZHOU ; Lingli YU ; Qinglan MENG ; Xia MOU ; Lijuan XIONG ; Weiguang LI ; Ding LIU ; Jiaqing XIAO ; Limei OU ; Baozhen LI ; Jun YIN ; Haojun ZHANG ; Qiang FU ; Qun LU ; Biao WU ; Ya-wei XING ; Shumei SUN ; Shuncai WANG ; Longmin DU ; Jingping ZHANG ; Wen-ying HE ; Gui CHENG ; Nan REN ; Xun HUANG ; Anhua WU
Chinese Journal of Infection Control 2025;24(11):1572-1583
Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27%.The number of HAI episodes was 38 032,and case prevalence rate was 1.38%.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66%to 2.35%.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65%.The most common infection site was the lower respiratory tract(44.66%),followed by the urinary tract(12.94%),surgical site(9.32%),upper respiratory tract(7.02%),and bloodstream infection(5.78%).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02%),department of neurosurgery(5.51%),and department(group)of hematology(5.34%).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10%)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76%),Pseudomonas aeruginosa(13.33%),Escherichia coli(12.79%),Acinetobacter baumannii(9.23%),and Staphylococcus aureus(7.88%).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71%.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18%.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46%.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.
10.Current status and prospects of critical care nursing robots
Lixue ZHOU ; Shuojin FU ; Luwei WANG ; Shuai JIN ; Yanling WANG ; Gexin XIAO ; Qian XIAO
Chinese Journal of Modern Nursing 2025;31(19):2540-2545
With the advancement of science and technology and the increasing care needs of critically ill patients, critical care nursing robots have developed rapidly. This paper provides an overview of the current applications of nursing robots in intensive care settings, including assessment and monitoring, routine care, rehabilitative care, emotional assistance, remote care, and multifunctional integration. Furthermore, the challenges associated with the implementation of critical care nursing robots and future development directions are discussed, aiming to provide a reference for the optimization and practical application of such technologies.

Result Analysis
Print
Save
E-mail