Antimicrobial resistance (AMR) poses a critical global health threat. This review systematically examines AMR surveillance technology advances, from conventional culture methods to modern molecular diagnostics (e.g., whole-genome sequencing) and artificial intelligence-assisted approaches. It focuses on the current application of mass spectrometry, machine learning predictive models, and real-time surveillance networks. To address challenges including inadequate technical standardization, clinical translation barriers, and data-sharing limitations, we propose integrated ^"genotype-phenotype^" strategies and global standardization framework, while exploring future applications of CRISPR-based portable detection, single-cell sequencing, and blockchain technologies.

BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.

Objective To explore the alterations in the numbers of cortical neurons and synapses in type 1 diabetic rats and their correlation with cognitive dysfunction.Methods A type 1 diabetes model was induced by intraperitoneal injection of streptozotocin(STZ).Four-month-old specific pathogen-free(SPF)-grade Sprague-Dawley(SD)rats were randomly allocated into a control group and a diabetic group,with five rats in each group.After three months of continuous feeding,optical fractionator stereology was employed to quantitatively analyze the volume of the cerebral cortex,the number of neurons,and the number of synapses.Results In comparison with the control group,the volume of the cerebral cortex in the diabetic group decreased by 6.00%,and the number of neurons decreased by 14.09%.However,these differences were not statistically significant(P>0.05).Never the-less,the density of synapses significantly decreased by 70.14%(P<0.05),and there was a significant difference in the number of Spinophilin/Neurabin-positive synaptic boutons per neuron in the cortex(P<0.05).Conclusion Although early-stage type 1 diabetes does not lead to a significant loss of cortical neurons,the substantial reduction in synaptic numbers might be a crucial pathological basis for cognitive dysfunction.

Objective To addresses the challenges arising from the rapid expansion of pharmaceutical clinical trials and the growing demands for quality management,this paper investigates the application of low-code technology in project management.Its goals are to enhance the operational efficiency and execution capabilities of clinical trial institutions,ensure trial quality and safety,and accelerate the translation of pharmaceutical scientific achievements.Methods A brainstorming session was conducted to analyze the technical and functional requirements for managing pharmaceutical clinical trial projects.Utilizing the ＂template design＂ and ＂decision analysis＂ functionalities of low-code technology,the study adopted a modular and visually driven data management approach to develop a system compliant with Good Clinical Practice(GCP)standards.This system integrates key functionalities,including project progress management,funding management,drug inventory management,and quality control.Its effectiveness was evaluated through real-world operation and performance validation.Results The system had demonstrated stable operation with substantial improvements in practical application.Compared with conventional management approaches,it significantly enhanced project management efficiency:the time required for project schedule management was reduced by 80%,the efficiency of financial processing increased by 95%,drug inventory management efficiency improved by 75%,and the time spent on quality control was shortened by 60%.Conclusion The pharmaceutical clinical trial project management system developed using low-code technology offers substantial advantages and promising application potential.It represents a critical practice in applying digital and intelligent tools to advance pharmaceutical productivity in the medical and healthcare sectors.

Objective To evaluate the efficacy of combining surgical treatment with biological agents for perianal fistulizing Crohn's disease(pfCD).Methods Sixty patients with perianal fistulizing Crohn's disease(pfCD)admitted to our hospital from May 2021 to December 2023 were randomly allocated into two groups:Treatment Group A(n=30)and Treatment Group B(n=30).Treatment Group A received pfCD surgery combined with inflix-imab(IFX)and azathioprine(AZA),while Treatment Group B underwent pfCD surgery along with ustekinumab(UST)and AZA.The CDAI score,PDAI score,and Assche score were monitored for both groups,and postoperative MRI examinations were conducted to evaluate the healing of pfCD.Results There were statistically significant differences in CDAI,PDAI,and Assche scores between pre-treatment and post-treatment comparisons within treat-ment groups A and B(P<0.05),as well as in the magnitude of change at each time point.Comparisons of CDAI,PDAI,and Assche scores at 8,16,24,and 32 weeks,and PDAI scores at 40 weeks between groups A and B using independent samples t-tests did not yield statistically significant results(P>0.05).However,significant differences were observed for CDAI and Assche scores at 40 weeks(P<0.05).Significant changes in CDAI,PDAI,and Assche scores were noted at 8,16,24,32,and 40 weeks post-treatment within both groups A and B(P<0.05).Multiple comparisons using the LSD method revealed that the changes in these scores at each time point were statistically significant(P<0.05).The data indicate a temporal trend in the changes of CDAI,PDAI,and Assche scores,with group B showing a more rapid decline compared to group A.In terms of fistula response rates,both groups A and B achieved 100%(30/30).However,the clinical healing rate of fistulas was higher in group B at 86.7%(26/30)compared to 76.7%(23/30)in group A.Conclusion The combination of surgical treatment with IFX/UST plus AZA is safe and effective for treating pfCD.However,the long-term efficacy of combining surgical treatment with UST appears to be superior.

Objective To quantify the volume and movement of cardiac substructures by using coronary computed tomography angiography(CCTA)to provide guidance for the design of deep inspiratory breath-holding radiation therapy for left breast cancer and the protection of organs at risk.Methods Totally 18 female patients who received conventional chest plain scan and CCTA were selected to simulate the design process of radiotherapy plan for left breast cancer patients with internal mammary lymph nodes.Retrospective reconstruction of CCTA data was performed for each patient,with 10 phase images(with an interval of 10％)within a R-R cardiac cycle(10％-100％)to simulate the true range of motion of the heart.The heart,left atrium(LA),left ventricle(LV),right atrium(RA),right ventricle(RV),left anterior descending artery(LAD),left circumflex coronary artery(LCX)and right coronary artery(RCA)were contoured at each phase.The distances from the centroid position to the average position of LAD,LCX and RCA were measured at each phase in the superior-inferior(SI),anterior-posterior(AP)and left-right(LR).The average volume and range of volume changes of LA,LV,RA,RV and heart were analyzed within a cardiac cycle.The expansion margins of planning organs at risk volume(PRV)were calculated.SPSS 19.0 software was used for statistical analysis.Results The following average absolute displacements were found in SI,AP and LR coordinates:(1.8±0.7)mm,(1.2±0.5)mm and(1.5±0.5)mm for LAD,respectively;(2.1±0.7)mm,(1.5±0.6)mm and(1.9±0.7)mm for LCX,respectively;(1.6±0.5)mm,(2.2±0.9)mm and(2.2±0.8)mm for RCA,respectively.The volume changes of LA,LV,RA,RV and heart within a cardiac cycle ranged from 34.3 to 63.9 cm3,122.1 to 154.3 cm3,29.3 to 53.6 cm3,57.2 to 94.3 cm3 and 480.1 to 515.4 cm3,respectively.The theoretical expansion margins of LAD,LCX and RCA in all the three directions were within 2 mm.Conclusion The ranges of movement and volume changes of cardiac substructure are quantitati-vely displayed,and references are provided for the planning of deep inspiratory breath-holding radiation therapy for left breast cancer and the protection of organs at risk.[Chinese Medical Equipment Journal,2025,46(3):54-58]

Objective To construct a discharge preparation plan for patients with head and neck cancer undergo-ing tracheotomy and explore its application effect to provide a reference for improving the at-home self-care ability of tracheostomy patients with head and neck cancer.Methods The discharge preparation plan for patients with head and neck cancer undergoing tracheotomy was constructed through literature analysis and expert consultation.A total of 160 patients with tracheotomy for head and neck cancer who were hospitalized in the Department of Oto-laryngology and Head and Neck Surgery of a tertiary A general hospital in Jinan City,Shandong Province from May 2023 to February 2025 were selected by convenience sampling method as the study subjects,and were divided into an experimental group and a control group by block randomization method,with 80 cases in each group.The ex-perimental group received a discharge preparation plan for patients undergoing tracheotomy for head and neck can-cer,while the control group received routine nursing and health education.Data from admission to 1 month after discharge were collected.The levels of mindfulness awareness,self-care ability,and discharge readiness were compared between 2 groups of patients before and after intervention.Results The constructed discharge preparation plan in-cludes 5 stages(pre-contemplation,contemplation,preparation,action,and maintenance).There were no sample dropouts in either group of patients.The experimental group had higher levels of mindfulness awareness,self-care ability and discharge readiness scores than the control group,and the differences were statistically significant(P＜0.001).Conclusion The discharge preparation plan for patients with head and neck cancer undergoing tra-cheotomy is scientifically reasonable,safe,and feasible,which can effectively improve patients' discharge preparation and mindfulness level,and enhance their self-care ability.

Objective:To explore the incidence of Crohn's disease-like pouch (CDP) after ileal pouch-anal anastomosis (IPAA) and analyze the clinical characteristics and risk factors in ulcerative colitis (UC) patients.Methods:A retrospective cohort study was conducted. One hundred and eighty-two UC patients undergoing IPAA at Jinling Hospital affiliated to Nanjing University from November 2003 to November 2024 were enrolled. Patients were categorized into CDP and non-CDP groups. Clinical features and prognosis were compared, and multivariate Cox regression was performed to identify risk factors for CDP.Results:A total of 182 UC patients were included, with a median follow-up time of 45.00 (30.00, 75.25) months. The patients were divided into two groups based on the diagnosis of CDP, with 23 patients (12.64%) in the CDP group and 159 patients (87.30%) in the non-CDP group. Compared to the non-CDP group, patients in the CDP group had a lower body mass index (BMI) ( Z=-2.87, P=0.004), and were more likely to develop early postoperative pouchitis (χ 2=4.50, P=0.034). The median time from ileostomy closure to the development of CDP was 12 .00 (6.00, 28.00) months. Cox regression analysis showed that a preoperative BMI<18.5 kg/m 2 ( HR=2.84, 95% CI: 1.24~6.49, P=0.013) and early postoperative pouchitis ( HR=3.11, 95% CI: 1.22~7.93, P=0.018) were associated with an increased risk of CDP. Conclusions:Preoperative low BMI and pouchitis occurring within 3 months postoperatively are significant risk factors for CDP. Close monitoring and early intervention are recommended for high-risk patients.

In February 2025, a local cluster outbreak caused by the D8 genotype Measles virus (MV) was first discovered in Henan Province. Epidemiological investigations and laboratory testing were conducted, including the collection of serum and throat swabs for MV IgM antibody and nucleic acid detection, virus isolation and genetic homology analysis. Measures such as close contact tracing, vaccination rate assessment and supplementary immunization activities were implemented, successfully preventing broader community transmission. A total of three cases were reported during the outbreak, including one imported-related adolescent and two secondary local adult cases. All cases presented with typical symptoms such as fever and rash. Both adult cases were complicated by pneumonia, with one case developing into severe pneumonia. MV genotyping showed that the two secondary cases were both the D8 genotype, with the viral sequences being completely homologous to the Kazakhstan strain. Among the close contacts, 98.2% were adults, and 142 individuals received emergency vaccination.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.