ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

Renal lymphatic vessel density is clinically relevant in kidney disease but is still assessed by slow, subjective visual estimation. We evaluated a weakly supervised, attention-based multiple-instance learning framework for automated detection and quantification of renal lymphatic vessel density on D2-40-stained whole-slide images (WSIs). Methods: Two independent internal datasets from Tongji Hospital were collected, including 198 cases of chronic kidney disease (CKD) and 50 cases of hypertensive nephropathy (HTN). All biopsies were immunohistochemically stained for D2-40 and digitized as WSIs. Pathologists provided only slide-level labels (D2-40 high vs. D2-40 low). Tissue regions were automatically segmented, tiled into patches, and encoded using a pretrained convolutional neural network. Patch embeddings were then analyzed with a clustering-constrained attention multiple-instance learning (CLAM) model. Unlike conventional multiple-instance learning (MIL) methods that only weight instances, CLAM jointly performs attention-based instance selection and instance-level clustering to distinguish positive from negative evidence within each slide, yielding more discriminative slide-level features and interpretable attention maps. Performance was compared with a classic MIL model trained on the same features. Results: CLAM achieved area under the receiver operating characteristic curves of 0.942 and 0.858 on the CKD and HTN datasets, respectively, outperforming classic MIL (0.866 and 0.801). Attention maps highlighted lymphatic-rich regions consistent with renal pathologists’ assessments. Conclusions: This clustering-constrained, attention-based weakly supervised framework enables fully automated, reproducible quantification of renal lymphatic vessel density from WSIs, providing renal pathologists with rapid visual and numerical support for diagnosis and risk stratification in CKD and HTN.

Objective To develop an active monitoring model for adverse drug events(ADEs)related to antimicrobial use in children based on the China hospital pharmacovigilance system(CHPS).Methods Trigger items for the active monitoring model were initially drafted through a review of relevant literature,adverse reaction databases,and drug label warnings,and subsequently refined using the Delphi method.A retrospective analysis was performed on pediatric inpatients who received antibiotics at Anning First People's Hospital between January 1 and December 31,2024.The detection rate and positive predictive value(PPV)of the active monitoring model were calculated and compared with spontaneous ADE reports from the same period.Risk factors for ADEs were further analyzed using logistic regression.Results 25 trigger items were established for the active monitoring model.Among 1,784 cases,233 ADEs were identified,yielding a detection rate of 13.06%(233/1,784).The spontaneous reporting rate of adverse events during the same period was 1.85%(33/1,784).The difference between the two was statistically significant(P<0.001).There were 727 positive trigger events,with 299 cases of ADE detected,resulting in an overall PPV of 41.13%(299/727).Logistic regression revealed that antibiotic use exceeding 3 days(OR=1.454,95%CI:1.012-2.088)was significantly associated with ADE occurrence.Conclusion Compared with conventional spontaneous reporting,the active monitoring model can significantly improve the detection rate of ADEs of pediatric antimicrobial drugs and achieve active and real-time monitoring of drug adverse events.

Objective To analyze the current status and influencing factors of occupational stress, job burnout and sleep quality among workers in the secondary industry in Jinshan District, Shanghai City. Methods A total of 1 418 workers from six key industries in Jinshan District, Shanghai City were selected as the study subjects by the stratified cluster sampling method. The Occupational Stress Core Scale, Maslash Burnout Inventory General Survey and Pittsburgh Sleep Quality Index were used to investigate occupational stress, job burnout and sleep quality of the workers. Results The detection rates of occupational stress, job burnout and sleep disturbance among the study subjects were 33.6%, 65.4% and 23.3%, respectively. Multivariate logistic regression analysis showed that the workers with a monthly income <5 000 yuan had a higher risk of occupational stress than those with a monthly income ≥5 000 yuan (P<0.01). The workers with ≥5.0 years of service had a higher risk than those with <1.0 year (P<0.05). Lack of physical exercise, employment in medium- and large-sized enterprises, and shift work were risk factors of occupational stress in the workers (all P<0.01). The workers aged 18-<30 years had a higher risk of job burnout than those aged 45-<60 years (P<0.05). The workers monthly income <5 000 yuan was associated with a higher risk of job burnout than those with ≥9 000 yuan (P<0.05). The workers with 1.0-<10.0 years or ≥15.0 years of service had higher job burnout risks than those with <1.0 year (all P<0.05). Being unmarried, lack of physical exercise, and employment in medium- and large-sized enterprises were risk factor of job burnout in the workers (all P<0.05). The workers with an educational level of high school or above had a higher risk of sleep disturbance than those with junior school or below (P<0.05). The workers who work >56 hours per week had a higher risk than those working ≤40 hours per week (P<0.01). Conclusion There is a high detection rate of occupational stress, job burnout, and sleep disturbance in the secondary industry workers in Jinshan District, Shanghai City. Special attention should be given to workers with low income, lack of physical exercise, employment in medium- and large-sized enterprises, shift work, long service duration, and long weekly working hours to protect their physical and mental health.

Objective To analyze the current quality of treatment for hospitalized cancer patients in Bei-jing,identify major issues in treatment practices,and propose improvements.Methods Nine hospitals in Beijing were selected for examination.Expert on-site interviews and medical record sampling were conducted.The"Bei-jing Cancer Diagnosis and Treatment Quality Control Checklist"was used to assess the hardware,management,anti-cancer drug therapy,radiation therapy,and surgical treatment during cancer treatment at these hospitals from January to October 2023.The relevant problems were analyzed.Results Among the nine hospitals,two(22.2％)were equipped with laminar flow rooms,and three(33.3％)had intravenous drug preparation centers.In terms of institutional management,seven hospitals(77.8％)had standardized anti-cancer drug prescription authority management,eight(88.9％)had complete emergency plans,and five(55.6％)had oncology specialist pharmacists.Regarding anti-cancer drug therapy,the areas with higher completion rates included pathology diag-nosis support(97.6％),routine pre-treatment examinations(96.3％),adverse reaction evaluation(92.7％),discharge summaries(95.1％),and admission records(91.5％).However,the accuracy of tumor staging before treatment(70.7％)and the evaluation of therapeutic efficacy after drug treatment(76.9％)needed improvement.The oncology specialty significantly outperformed the non-oncology specialty in terms of the accuracy rate of TNM staging(86.0％vs.46.9％,P＜0.001),the completeness of informed consent forms(100％vs.68.8％,P＜0.001),the completeness of drug indication evaluation(96.0％vs.78.1％,P=0.025),the completeness of admission medical history records(98.0％vs.81.3％,P=0.008),the rationality of drug dosage(96.0％vs.75.0％,P=0.005),the rationality of drug infusion time(100％vs.62.5％,P＜0.001),and the rationality of the order of drug infusion(100％vs.87.5％,P=0.010).Although the quality of radiation therapy was high,the subsequent evaluation of therapeutic efficacy(39.3％)requires enhancement.In surgical treatment,the preoper-ative pathology diagnosis support rate(78.1％)and the accuracy of tumor staging(37.5％)were relatively low,indicating issues with incomplete preoperative evaluation and the absence of multidisciplinary discussions.Conclusions There remains significant room for improvement in the quality of cancer treatment in China.It is recommended to standardize tumor staging assessment processes,strengthen entry assessments for non-oncology departments,promote the implementation of multidisciplinary treatment models,and establish a multi-department collaborative management model.Continuous monitoring of cancer diagnosis and treatment quality indicators is es-sential to promote ongoing improvements in cancer treatment quality.

The incomplete degradation of tumour cells by macrophages(Mφ)is a contributing factor to tumour progression and metastasis,and the degradation function of Mφ is mediated through phagosomes and lysosomes.In our preliminary experiments,we found that overactivation of NADPH oxidase 2(NOX2)reduced the ability of Mφ to degrade engulfed tumour cells.Above this,we screened out liquiritin from Glycyrrhiza uralensis Fisch,which can significantly inhibit NOX2 activity and inhibit tumours,to elucidate that suppressing NOX2 can enhance the ability of Mφ to degrade tumour cells.We found that the tumour environment could activate the NOX2 activity in Mφ phagosomes,causing Mφ to produce excessive reactive oxygen species(ROS),thus prohibiting the formation of phagolysosomes before degradation.Conversely,inhibiting NOX2 in Mφ by liquiritin can reduce ROS and promote phagosome-lysosome fusion,therefore improving the enzymatic degradation of tumour cells after phagocytosis,and subse-quently promote T cell activity by presenting antigens.We further confirmed that liquiritin down-regulated the expression of the NOX2 specific membrane component protein gp91 phox,blocking its binding to the NOX2 cytoplasmic component proteins p67 phox and p47 phox,thereby inhibiting the activity of NOX2.This study elucidates the specific mechanism by which Mφ cannot degrade tumour cells after phagocytosis,and indicates that liquiritin can promote the ability of Mφ to degrade tumour cells by suppressing NOX2.

Objective:To compare the effects of manual acupuncture(MA),electroacupuncture(EA),and moxibustion on knee joint cartilage morphology,serum inflammatory factors interleukin(IL)-6 and IL-10,matrix metalloproteinase 13(MMP13),and intestinal flora composition in knee osteoarthritis(KOA)model rats.Methods:Forty male specific-pathogen-free Sprague-Dawley rats aged seven weeks were randomly divided into a normal group(n=8)and a KOA modeling group(n=32).The KOA model was established using sodium iodoacetate induction.The KOA modeling rats were further randomly divided into a model group,an MA group,an EA group,and a moxibustion group,with 8 rats in each group.In the MA,EA,and moxibustion groups,interventions targeting the right Futu(ST32)and Zusanli(ST36)were performed for 15 min,once every other day,for 14 sessions.The normal and model groups were bundled on the self-made fixation frame for 15 min.The rat knee joint diameter was measured on the 8th day of adaptive feeding,after successful modeling,and after the 14th intervention.Lequesne behavioral scoring was performed after successful modeling and after the 14th intervention.After the 14th intervention,hematoxylin-eosin(HE)staining and Masson staining were performed with the cartilage sections of the right knee joint.The pathomorphological changes of the rat joint cartilage were observed and quantified by Mankin's score.Enzyme-linked immunosorbent assay was used to detect the rat serum levels of IL-6,IL-10,and MMP13.Additionally,16S rDNA sequencing was used to detect the composition of rat fecal flora.Results:Compared to the normal group,the right knee joint diameter and the Lequesne score were significantly increased in the model group(P<0.01).Compared to the model group,the right knee joint diameter and the Lequesne score of rats in the MA,EA,and moxibustion groups were significantly reduced(P<0.01),with no significant differences among the three intervention groups(P>0.05).HE staining and Masson staining revealed disordered cartilage structure in the model group,which was improved following interventions in the MA group,EA group,and moxibustion group.Mankin's score was significantly higher in the model group versus the normal group(P<0.05)while significantly lower in the MA,EA,and moxibustion groups versus the model group(P<0.05).Serum analysis showed elevated IL-6 and MMP13 levels and reduced IL-10 level in the model group versus the normal group(P<0.05).Compared to the model group,the serum IL-6 level was significantly reduced(P<0.05),and the IL-10 level was significantly increased(P<0.05)in the MA,EA,and moxibustion groups,but without statistical differences among the three intervention groups(P>0.05);moreover,the MMP13 level in the moxibustion group was significantly lower than that in the model group(P<0.05).The alpha diversity analysis of intestinal flora showed no statistical difference in the number of operational taxonomic units(OTUs)and alpha diversity index among groups(P>0.05).Intestinal flora beta diversity analysis revealed significant differences among groups(P<0.05).Intestinal flora composition analysis showed significantly increased relative abundance of Lactobacillus(P<0.05)and significantly decreased relative abundance of Eubacterium_coprostanoligenes(P<0.05)in the model group compared to the normal group;compared to the model group,the relative abundances of Firmicutes,Lactobacillus,and Romboutsia in the MA,EA,and moxibustion groups were significantly reduced(P<0.05);the relative abundance of Bacteroidetes and Lachnospiraceae_NK4A136 in the MA group increased significantly(P<0.05);Bacteroidetes and Ruminococcaceaae_UGC-005 increased significantly in the moxibustion group(P<0.05).Conclusion:MA,EA,and moxibustion effectively reduced knee joint swelling,improved cartilage tissue morphology,optimized intestinal flora composition,down-regulated expression levels of serum pro-inflammatory factors IL-6 and MMP13,and increased expression level of anti-inflammatory factor IL-10 in KOA rats.Among them,moxibustion exhibited the most obvious regulatory effect on inflammatory factors.

Objective To compare the clinical effects of single-puncture and double-puncture subcutaneous tunneling techniques for PICC placement in cancer patients,and to provide references for nurses in selecting appropriate catheterization methods.Methods A continuous sampling method was adopted to select cancer patients who underwent PICC placement in the Department of Oncology at a tertiary general hospital in Nanning from June 2022 to December 2023.According to the actual catheterization technique received by patients,they were assigned to either the single-puncture or double-puncture subcutaneous tunneling group.After 1:1 propensity score matching(PSM),the 2 groups were compared in terms of catheter-related complication rates,pain scores and total catheterization time.Results After propensity score matching,79 patients were included in each group.The results showed that the incidence of catheter-related thrombosis,pain scores,and total catheterization time in the one-needle subcutaneous tunneling group were significantly lower than those in the two-needle subcutaneous tunneling group,with statistically significant differences(P＜0.05).Conclusion The one-needle subcutaneous tunneling method can effectively reduce the incidence of catheter-related thrombosis and pain during catheterization in cancer patients,while also shortening the total catheterization time.

Objective To observe the value of venous phase CT radiomics combined with clinical features for predicting breast cancer susceptibility gene(BRCA)mutation in patients with epithelial ovarian cancer(EOC).Methods A total of 111 EOC patients diagnosed by surgical pathology and BRCA detection were retrospectively enrolled and divided into training set(n=90,35 BRCA mutations[+]and 55 BRCA mutations[-])and test set(n=21,8 BRCA mutations[+]and 13 BRCA mutations[-])at the ratio of 8∶2.Clinical and CT data were analyzed using univariate and multivariate logistic regression(LR)to screen independent predictors of BRCA mutations in EOC patients,and then a clinical model was established.Based on venous phase CT,the best radiomics features of EOC lesions were extracted and screened,radiomics score(Radscore)was calculated.Machine learning(ML)models were established using random forest(RF),support vector machine(SVM)and LR,respectively,and the optimal ML model was screened.Finally a combined model was constructed based on Radscore and independent predictors.The predictive efficacy and clinical value of each model were evaluated.Results Human epididymis protein 4 was the independent predictor of BRCA mutation in EOC patients,and the area under the curve(AUC)of clinical model was 0.648 and 0.742 in training and test sets,respectively.AUC of RF,SVM and LR model was 0.726,0.763 and 0.860 in training set,0.708,0.750 and 0.700 in test set,respectively,and SVM model was the optimal ML model.AUC of combined model was 0.819 and 0.783 in training and test set,respectively,which in training set was higher than that of clinical model(P=0.022).No significant difference of AUC was found by pairwise comparison of other models in both training and test set(all P＞0.05).Decision curve analysis showed that when the threshold was larger than 0.15,the clinical value of combined model was higher than that of clinical and SVM models.Conclusion Venous phase CT radiomics combined with clinical features could effectively predict BRCA mutation in EOC patients.