ObjectiveTo integrate network pharmacology prediction with multi-level experimental verification methods， and to explore in depth the therapeutic efficacy and potential mechanism of luteolin in treating gout. MethodsDatabases were used to obtain potential pharmacodynamic targets of luteolin. Protein-protein interaction （PPI） network construction and network pharmacology analysis techniques were used to screen key core targets of luteolin in gout treatment. Further biological function enrichment analysis and signaling pathway analysis were performed on these targets. Molecular docking simulation was used to calculate the binding energy between luteolin and potential core targets， clarifying the strength of their interactions. In the in vivo experiment for hyperuricemia， 48 mice were randomly divided into a blank group， a model group， an allopurinol group （5 mg·kg^-1）， and low-dose （10 mg·kg^-1）， medium-dose （30 mg·kg^-1）， and high-dose （90 mg·kg^-1） luteolin groups. For the first three days， the blank and model groups were gavaged with an equal volume of normal saline， while the allopurinol group and luteolin groups were gavaged with corresponding drugs. From day 4 onwards， modeling was performed by intraperitoneal injection at 12：00 daily （normal saline for the blank group， and oxonic acid potassium-hypoxanthine mixture for other groups， with 300 mg·kg^-1 for each group）. Gavage intervention was administered at 18：00 daily （normal saline for the blank/model groups， and corresponding drugs for the treatment groups） until day 7. After sampling， levels of serum uric acid （UA）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） were measured. Levels of xanthine oxidase （XO） in the liver and kidney， ATP-binding cassette transporter G2 （ABCG2） and malondialdehyde （MDA） in the kidney， and superoxide dismutase （SOD） in the liver were determined. Renal HE staining was also performed. In the pharmacodynamic study of gouty arthritis， 36 rats were randomly divided into a blank group， a model group， a colchicine group （0.315 mg·kg^-1）， and low-dose （7 mg·kg^-1）， medium-dose （21 mg·kg^-1）， and high-dose （63 mg·kg^-1） luteolin groups. The model was established by vertically injecting 100 µL of 25 g·L^-1 monosodium urate suspension into the posterior lateral aspect of the right ankle joint （the blank group was injected with an equal volume of normal saline）， with repeated injections every two days for reinforcement. From day 2 after modeling， daily gavage administration was performed （normal saline for the blank/model groups， and corresponding drugs for the treatment groups） for a total of 16 days. During the experiment， ankle swelling and pain threshold were measured regularly. After sampling， levels of serum tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β） were determined. Ankle joints were subjected to HE， Masson， and safranin O-fast green staining， and HE staining was also performed on ankle synovial tissue and various organs. Western blot was used to determine the expression levels of key proteins in gout-related signaling pathways. ResultsNetwork pharmacology analysis predicted that luteolin may regulate over 20 core targets， such as XO， ABCG2， nuclear factor erythroid 2-related factor 2 （Nrf2）， and SOD， through acting on signaling pathways including NF-κB， phosphoinositide 3-kinase/protein kinase B （PI3K/Akt）， and ABC transporters， thereby affecting uric acid metabolism and inflammatory responses. In the hyperuricemia model， compared with the blank group， the model group showed significantly increased serum UA level， liver and kidney XO activity， renal ABCG2 expression， and liver SOD activity （P<0.01）. Compared with the model group， the high-dose luteolin group significantly reduced serum UA level （P<0.01）， inhibited liver and kidney XO activity （P<0.01）， and significantly increased renal ABCG2 expression and liver SOD activity （P<0.01）， effectively alleviating renal oxidative stress damage and improving renal histopathological status. In the gouty arthritis model， compared with the blank group， the model group showed significant ankle swelling， decreased pain threshold， and significantly increased levels of IL-6， IL-1β， and TNF-α in serum and synovial tissue （P<0.01）. The high-dose luteolin group significantly reduced ankle swelling， prolonged hot plate pain threshold， effectively decreased the levels of the above inflammatory factors in serum and synovial tissue （P<0.01）， and significantly improved ankle pathological damage， showing good analgesic and anti-inflammatory effects. Western blot results further confirmed that luteolin significantly upregulated Nrf2 protein expression and downregulated XO and nucleotide-binding oligomerization domain （NOD）-like receptor protein 3 （NLRP3） expression in animals. ConclusionLuteolin can improve symptoms of hyperuricemia and gouty arthritis， and its potential mechanism may be related to inhibiting XO activity， increasing ABCG2 and SOD levels， and regulating Nrf2-mediated oxidative stress-related pathways.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Objective To analyze the characteristics of weekend surgery,and explore to shorten the preoperative hospital stay and average hospital stay of patients.Method Extract actual data on the number of discharged surgical patients and length of hospital stay,and use the Questionnaire Star to investigate the recognition of weekend surgeries by medical staff.Using chi square test and independent sample rank sum test,compare the differences in patients and surgical characteristics between weekend surgery and non weekend surgery,and analyze the influencing factors of surgical physicians using binary logistic regression model.Result The median length of hospital stay(3.0 days)and preoperative hospital stay(0.5 days)was lower than that of non weekend surgery patients(5.0,1.5 days);The proportion of fourth grade surgeries on weekends(28.9％)was lower than that of non weekend surgeries(37.0％);The consultation rate(10.74％)was lower than that of non weekend surgeries(17.0％);The proportion of daytime pilot surgeries(30.7％)was higher than that of non weekend surgeries(20.4％).The factors with the highest recognition among medical staff for conducting weekend surgeries were:improving patient satisfaction(84.7％)and reducing preoperative waiting risks(84.4％).The lowest factors were family support(45.5％)and multi departmental assistance and cooperation(58.8％).Conclusion Weekend surgery effectively shortens the average preoperative and average hospitalization days.Move the hospitalization consultation required for comorbidities management and preoperative examinations to the outpatient department.Mobilize the coordination and supporting resources of various departments within the hospital,and organically integrate various surgical methods such as weekend surgery and day surgery to improve the efficiency of medical operation.

Objective To propose a novel identification algorithm based on ensemble learning for assessing the severity of acute respiratory distress syndrome(ARDS)to achieve continuous monitoring of the disease severity.Methods Firstly,leve-raging the open-source MIMIC-Ⅳ database,a variety of non-invasive physiological parameters of patients were extracted and subjected to preliminary preprocessing.A multivariate feature selection algorithm was employed to rank these parameters and calculate feature importance scores through weighted computation.Secondly,based on the feature importance scores,a subset search algorithm was utilized to identify the subset of features that could yield optimal performance across four machine learning algorithms:neural networks,logistic regression,AdaBoost and XGBoost.Finally,a soft voting ensemble method was designed using a generalized linear regression model to integrate the results of each single machine learning algorithm,and a multivariate ensemble learning algorithm was proposed by combining the optimal feature subsets.The algorithm proposed when used to identify the severity of ADRS was evaluated with MIMIC-Ⅳ database,and compared with the traditional algorithms.Results The sensitivity,specificity,accuracy and AUC of the algorithm were 87.15％,89.23％,88.34％and 0.923 4,respectively,all of which outperformed those of the traditional algorithms.Conclusion The ARDS severity identification algorithm based on ensemble learning is capable of achieving continuous and real-time monitoring of the severity of ARDS,thereby offering robust support for the early identification and warning of ARDS in patients.[Chinese Medical Equipment Journal,2025,46(2):1-9]

Objective To explore the predictive value of ultra-sound(US)combined with multi-sequence MRI in a clinical-deep learning radiomics nomogram(DLRN)for the short-term efficacy of neoadjuvant chemotherapy(NAC)in patients with triple-negative breast cancer(TNBC).Methods A total of 122 TNBC patients from five hospitals were retrospectively analyzed,and divided into training group(72 cases)and validation group(50 cases).The clinical and pathological data,NAC regimens,and imaging data were collected.The lesions and its surrounding 10-unit voxels from US and MRI images were retained as the region of interest(ROI).Pyradiomics software and a ResNet152 convolutional neural network(CNN)framework were used to extract radiomics and deep learning features to construct a clinical-DLRN with outcome dimension fusion.The receiver operating characteristic(ROC)curve and calibration curve were plotted,and five-fold cross-validation decision curve were used to verify the model's clinical effec-tiveness.Results The clinical-DLRN constructed by US combined with multi-sequence MRI showed that area under the curve(AUC)was 0.967[95％confidence interval(CI)0.782-0.967]and accuracy(ACC)was 0.900,respectively.The five-fold cross-validation decision curve showed good generalization,with the highest clinical net benefit between risk thresholds of 0.72 and 0.96.Conclusion The clinical-DLRN integrating US and multi-sequence MRI has the best efficacy in predicting the short-term efficacy of NAC in TNBC patients,which offering potential guidance for personalized TNBC treatment.

The mammary gland is one of the most important glands in human body, and the abnormal changes of its tissue mechanics are often closely related to the occurrence and development of mammary gland diseases. With the development of two new interdisciplines, biomechanics and mechanobiology, their theoretical research results have been gradually transformed into clinical applications, resulting in two new clinical disciplines, mechanodiagnostics and mechanotherapy. However, many clinicians still lack a systematic and in-depth understanding of the biomechanical characteristics and mechanobiology of breast tissue, and their potential value in the clinical diagnosis and treatment of breast diseases. In view of this, we elaborated the evolution law of the biomechanical characteristics and mechanobiological mechanism of breast diseases from four aspects: breast biomechanics, breast mechanobiology, breast mechanodiagnostics, and breast mechanotherapy, analyzed their role in the occurrence and development of breast diseases, and discussed the mechanical principles involved in the traditional diagnosis and treatment of breast diseases, to provide new ideas and schemes for the diagnosis and treatment of breast diseases.

Aim To explore the mechanism of clar-ithromycin in treating inflammatory bowel disease(IBD)by inhibiting Kv1.3 channel protein in colonic epithelial cells.Methods A chronic IBD rat model was induced using dextran sulfate sodium(DSS)in vi-vo experiments,with clarithromycin intervention.The physical signs of each group of rats were observed,and the disease activity index(DAI)score and colonic mu-cosal damage index(CMDI)score were calculated.RT-qPCR was used to detect the levels of relevant cyto-kines in colonic tissue of rats.Flow cytometry was em-ployed to detect the relative proportions of immune cells in the peripheral blood and colonic tissue of each group of rats.Lipopolysaccharide(LPS)was used to establish an inflammation model of colon epithelial cells(NCM460)to clarify the inhibitory effect of clar-ithromycin on Kv1.3 channel protein.Results In vi-vo experiments:compared to the model group,the clar-ithromycin intervention group exhibited a reduced de-gree of weight loss(P＜0.01),and a significant de-crease in DAI scores(P＜0.01).There was an in-crease in colon length,a reduction in weight,and a de-crease in CMDI scores(P＜0.05).Levels of TNF-α,IL-1 β,and IL-6 in colon tissue were significantly re-duced(P＜0.01).The numbers of peripheral blood and colonic regulatory T lymphocytes(Th),cytotoxic T lymphocytes(CTL),natural killer cells(NK),B lym-phocytes(B),and dendritic cells(DC)were signifi-cantly decreased(P＜0.05).Clarithromycin reduced the expression of Kv1.3 channel protein in colon tissue(P＜0.05).In vitro experiments:compared to the model group,the clarithromycin group significantly pro-moted the proliferation of NCM460 cells(P＜0.01)and simultaneously significantly reduced the levels of TNF-α and IL-6 in cells(P＜0.05).Clarithromycin also reduced the expression of Kv1.3 channel protein in NCM460 cells(P＜0.05).Conclusions Clar-ithromycin may play an immunomodulatory role by in-hibiting the expression of Kv1.3 channel protein,re-ducing inflammation in the body,and playing a role in the treatment of IBD.

This study aims to clarify the incidence and prevention status of dairy cow mastitis in 79 large-scale pastures in China in 2022,reduce the incidence of dairy cow mastitis,and provide scien-tific basis for formulating prevention and control strategies for dairy cow mastitis in large-scale pastures suitable for China's national conditions.The research team relied on the large-scale ranch of the Comprehensive Experimental Station of National Dairy Industry Technology System to car-ry out research.A total of 79 questionnaires were received.The information on the stock of large-scale farms,the proportion of cows in the herd,the level of cow yields,the incidence and cure rate of cow mastitis,the prevention and control of cow mastitis,diagnosis and treatment programs of cow mastitis,the cost of treating cow mastitis,and the culling rate of farms was collected.Chi-square test and correlation analysis were carried out on the incidence of mastitis in dairy cows and the prevention and control plan,treatment plan,yield level and elimination rate of mastitis in dairy cows by descriptive statistical cross table.The incidence of cow mastitis in some pastures was con-trolled between 5％and 10％,and the cure rate was mostly as high as 98％.According to the co-hort analysis,the importance of prevention and control measures for dairy cow mastitis was as fol-lows:DMT＞DHI＞milk yield＞milk traits＞breast apparent change＞electrical conductivity＞CMT.The importance of treatment measures for dairy cow mastitis is as follows:DMT＞DHI＞milk yield＞milk traits＞breast apparent changes＞electrical conductivity＞CMT.The importance of treatment measures for mastitis is as follows:traditional Chinese medicine＞pathogen detection and drug sensitivity test＞non-steroidal anti-inflammatory drugs＞regular maintenance of milking equipment＞normal milking without treatment＞broad-spectrum antibiotics.The incidence of mas-titis in dairy cows is moderately positively correlated with the yield per unit area,that is,the in-crease in the incidence of mastitis in dairy cows has a certain impact on the yield per unit area of dairy cows.Economic analysis shows that the treatment cost of mastitis is closely related to the in-cidence rate,and the treatment cost of pasture with higher incidence rate is higher.Pastures with higher yields usually have more efficient means of disease prevention and control,and the corre-sponding treatment costs are lower.In conclusion,China's large-scale pastures should strengthen the scientific feeding management level,improve the prevention and control methods to reduce the incidence of cow mastitis,improve the cure rate,and reduce the cost of pasture treatment.

Given the escalating number of cancer patients and the consequent rise in demand for radiation therapy in China, there is an urgent need to establish and improve a talent cultivation system for radiation dosimetrists. The United States, with an early-established cultivation system for radiation dosimetrists, boasts relatively mature and comprehensive systems of academic education and qualification certification. This study summarized and analyzed the educational and certification patterns for radiation dosimetrists in the United States based on public data from relevant institutions, related literature, and interviews with American radiation dosimetrists. Meanwhile, this study delved into and assessed the shortcomings in China′s radiation dosimetry education, examination, certification, and career advancement pathways. Furthermore, this study offered suggestions and recommendations for constructing a novel pattern tailored to the cultivation of radiation dosimetrists in China, in order to facilitate the high-quality development of the medical dosimetry discipline.

Objective:To design and develop a cone-beam CT imaging system for small animals with continuously adjustable spatial resolution.Methods:The imaging system used an X-ray source with a focal spot size of 30 μm and a flat panel detector with a pixel size of 100 μm. On this premise, a " stepping-focusing-rotating" image acquisition mode was proposed, in which the " focusing" and " stepping" systems were sequentially embedded in the " rotating" system. In this acquisition mode, the X-ray source and flat panel detector were relatively stationary to form the " focusing" system. When the " stepping" system accurately transported the object to the scanning position, the " focusing" system could achieve adjustable spatial resolution by making linear motion around the object to be scanned according to different experimental requirements. Finally the " rotating" system achieve high-quality imaging.Results:The variable spatial resolution of small animal CBCT ranges from 35.7 μm to 71.4 μm, and the FOV ranges from 39.6 mm to 108.0 mm. The conversion time for the limit spatial resolution is 19.125 s, which allowed accurate 3D reconstruction of normal mice at different resolutions with high reproducibility.Conclusions:A cone-beam CT suitable for small animals has been developed, whose spatial resolution and FOV can be adjusted arbitrarily within a certain range, which can meet the different imaging requirements in rodent experiments.