Stroke is one of the leading causes of disability and mortality worldwide. Research into its mechanisms and the development of therapeutic strategies heavily rely on animal models that accurately replicate the pathological features of human disease. An ideal animal model for stroke should not only reproduce the neurological deficits and pathological changes observed in clinical patients but also demonstrate good reproducibility and translational value. This review focuses on the preparation and evaluation methods of ischemic stroke animal models. Firstly, it elaborates on the selection criteria, advantages, and disadvantages of experimental animals, including rodents (rats, mice) and non-rodents (non-human primates, miniature pigs, rabbits, zebrafish). Secondly, it provides a detailed overview of the modeling principles, key procedures, and application scopes for ischemic stroke models and hemorrhagic stroke models. Furthermore, the review summarizes advances in the applications of emerging technologies—including gene editing [e.g., clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) gene editing], multimodal imaging (e.g., two-photon microscopy, photoacoustic imaging), artificial intelligence, optogenetics, 3D bioprinting, organoid models, and multi-omics–in model optimization, precise assessment, and mechanistic investigation. Finally, based on a systematic analysis of relevant domestic and international literature from 2019 to 2024, this review discusses model selection strategies based on research objectives, a multidimensional evaluation system encompassing behavioral, imaging, and molecular pathological assessments, and envisions future directions involving technological integration to achieve model precision and individualization. This article aims to provide a comprehensive methodological reference to help researchers select appropriate animal models of stroke according to specific scientific questions.

Objective: To investigate the prevalence of overweight and obesity among children and adolescents in Yangzhou City, and its association with screen behaviors, so as to provide scientific evidence for weight management among students. Methods: In May 2025, an electronic questionnaire survey was conducted among children and adolescents in Yangzhou City. A total of 3 722 participants were selected from grades 4 to 12 in 18 primary and secondary schools (108 classes) by using stratified cluster random sampling. The Chi square test was used to compare the differences in the detection rates of overweight and obesity among children and adolescents with 5 types of screen behaviors (watching TV, playing electronic games, scrolling short videos, screen based learning, electronic socializing) in different time groups each day (never, >0~<2 h, ≥2 h). Multivariate Logistic regression analysis was performed to examine the associations of five types of screen behaviors, presence of electronic devices in the bedroom, and screen use during meals on the weight status of children and adolescents. Results: The prevalence of overweight and obesity among children and adolescents was 37.3%. For all five types of screen behaviors, the differences in the distribution of overweight and obesity detection rates among children and adolescents across the three time spent categories were statistically significant ( χ 2=30.76- 70.78 , all P <0.01). After adjusting for confounding factors, multivariate Logistic regression analysis revealed that frequent or always using screens during meals( OR =1.63, 95％ CI =1.14~2.31), playing video games ( OR =1.28, 95% CI =1.11-1.48), browsing short videos ( OR =1.29, 95％ CI=1.09-1.54), and screen based learning ( OR =1.26, 95％ CI =1.10-1.44) were significantly associated with overweight and obesity among children and adolescents (all P <0.05). Conclusions Excessive screen use is positively correlated with the incidence of overweight and obesity in children and adolescents. Targeted interventions on screen behaviors among children and adolescents are therefore warranted.

Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

ObjectiveTo explore the efficacy and mechanism of Euphorbia humifusa on acute kidney injury （AKI） based on network pharmacology， molecular docking and experimental verification. MethodsThe active components and targets of E. humifusa were retrieved from TCMSP and SwissTargetPrediction database， and the AKI targets were screened by GeneCards and Online Mendelian Inheritance in Man（OMIM） databases. The drug targets and disease targets were intersected to construct a protein-protein interaction network， and the intersection targets were subjected to gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis. Discover Studio software was used to verify the molecular docking of key components and core targets. Gentamicin （GM） was used to induce AKI rat model. Control group， model group， verapamil （16 mg·kg^-1） group， E. humifusa extract （18， 54， 162 mg·kg^-1·d^-1） group and E. humifusa 70% ethanol extract （423 mg·kg^-1） group were continuously administered for 14 days. Urine volume was detected 24 h after modeling and administration. Serum creatinine （SCr）， Blood urea nitrogen （BUN）， 24-hour urine protein （24 hUTP） and uric acid （UA） content； the contents of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， carbon monoxide synthase （NOS） and lactate dehydrogenase （LDH） in kidney were measured. The levels of interleukin （IL）-6 and tumor necrosis factor （TNF）-α in serum were detected by enzyme linked immunosorbent assay（ELISA） kit. The pathological changes of renal tissue were detected by hematoxylin-eosin （HE） and Masson staining. Western blot was used to detect the expression of PI3K/protein kinase B（Akt）/NF-κB signaling pathway-related proteins. ResultsIn this study， 13 active components such as kaempferol， luteolin， apigenin， gallic acid and quercetin were screened and identified from E. humifusa. Through bioinformatics analysis， these components and AKI have a total of 289 targets， of which 62 are core targets， including Akt1， TNF， tumor protein p53（TP53） and IL-1β. These targets are mainly involved in the regulation of biological processes such as NF-κB signaling pathway， HIF-1 signaling pathway， TNF signaling pathway， PI3K/Akt signaling pathway and mitogen-activated protein kinase（MAPK） signaling pathway. In animal experiments， we successfully constructed a GM-induced AKI model in rats. Compared with the model group， E. humifusa extract could significantly reduce the levels of 24 hUTP， BUN and SCr in rats （P<0.01）， indicating its improvement effect on renal function. In addition， the extract of E. humifusa also significantly reduced LDH activity and MDA content in rat kidney tissue （P<0.05， P<0.01）， and significantly increased SOD， NOS activity and GSH content （P<0.05）， indicating that the extract of E. humifusa has the potential of anti-oxidation and protection of renal function. Further analysis of inflammatory factors showed that the levels of IL-6 and TNF-α in serum of rats treated with E. humifusa extract were significantly decreased （P<0.01）， indicating that E. humifusa extract had anti-inflammatory effects. In addition， the extract of E. humifusa can also regulate the protein expression of PI3K/Akt/NF-κB signaling pathway， which further confirmed its mechanism of reducing GM-induced AKI. ConclusionThe extract of E. humifusa has a significant therapeutic effect on acute kidney injury through its multi-component and multi-target mechanism. Its effect is reflected in improving renal function， anti-oxidation， anti-inflammation and regulating immune response. These findings provide a scientific basis for the application of E. humifusa in the treatment of acute kidney injury， and point out the direction for future drug development and clinical research.

Bronchiolar adenoma (BA) is a rare type of lung tumor characterized by bilayered epithelial cells having a continuous basal layer and a luminal layer. It resembles mucinous adenocarcinoma (MA) on frozen section, with difficulty in distinguishing the basal layer. Immunohistochemistry is the best choice for verifying the diagnosis. This study aimed to comprehensively characterize three cases of BA-combined carcinoma using clinical, histopathological, and genetic features. BA and carcinoma sections were subjected to next-generation sequencing, respectively. It was hypothesized that while different mutation forms matched different regions, BA and lung adenocarcinoma shared the same gene mutation when they co-occurred in the same location. BA with extensive carcinoma is extremely rare and presents diagnostic challenges due to its overlap with conditions such as MA. Because of its distinctive morphological characteristics, BA may be regarded as a low-grade malignancy, particularly during a confusing evaluation. A multifaceted examination of clinical, radiological, immunohistochemical, and genetic data is necessary for an accurate diagnosis.

Objective:To evaluate the efficacy of curative esophagectomy versus definitive chemoradiotherapy (dCRT) in patients with clinical T1bN0M0 thoracic esophageal cancer.Methods:The propensity score matching (PSM) and retrospective cohort study was conducted. The clinico-pathological data of 163 patients with clinical T1bN0M0 thoracic esophageal cancer who were admitted to Henan Provincial People′s Hospital from January 2014 to December 2020 were collected. There were 125 males and 38 females, aged (58.9±7.0)years. Of 163 patients, 124 cases undergoing curative transthoracic esophagectomy were allocated into the radical resection group, 39 cases undergoing dCRT were allocated into the dCRT group. Observation indicators:(1) PSM and compari-son of clinicopathological characteristics of patients between the two groups after matching; (2) complications in the radical resection group and treatment status in the dCRT group; (3) survival analysis; (4) analysis of factors influencing patients′ prognosis. Comparison of measurement data with normal distribution between groups was conducted using the Welch t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the Mann-Whitney U test. The Cox proportional hazard model was used for univariate and multivariate analyses. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and Log-rank test was used for survival analysis. PSM was performed using the 2∶1 nearest neighbor matching method. The caliper value was set as 0.05. Results:(1) PSM and comparison of clinicopathological charac-teristics of patients between the two groups after matching. Of the 163 patients, 117 cases were successfully matched, with 78 cases in the radical resection group and 39 cases in the dCRT group. After PSM, the elimination of tumor differentiation degree confounding bias ensured comparability. (2) Complications in the radical resection group and treatment status in the dCRT group.Among the 78 patients in the curative esophagectomy group, 22 cases developed complications within 30 days after surgery. There was no death within 30 days after surgery. Among the 39 patients in the dCRT group, 25 cases received concurrent chemoradiotherapy alone, 8 cases received induction chemo-therapy followed by concurrent chemoradiotherapy, 3 cases received sequential chemoradiotherapy, and 3 cases received radiotherapy alone. Among the 33 patients who received concurrent chemo-radiotherapy, 29 cases were treated with the XP regimen, and 4 cases with the FP regimen. Efficacy evaluation showed that 37 patients achieved complete remission, and 2 patients had residual lesions. Twenty-two patients developed treatment-related adverse reactions. (3) Survival analysis. After PSM, the follow-up duration was 58(range, 13-125)months in the radical resection group and 56(range, 10-129)months in the dCRT group. The postoperative 5-year overall survival rates were 95.7% and 97.1% in the radical resection group and dCRT group, respectively, showing no significant difference between the two groups ( χ2=0.001, P>0.05). The postoperative 5-year disease-free progression survival rates were 88.2% and 94.2% in the radical resection group and dCRT group, respectively, showing no significant difference between the two groups ( χ2=0.652, P>0.05). (4) Analysis of factors influencing patients prognosis. Age and pathological TNM stage were indepen-dent influencing factors for overall survival time in patients with clinical T1bN0M0 thoracic esophageal cancer ( hazard ratio=1.312, 2.945, 95% confidence interval as 1.042-1.711, 2.204-5.517, P<0.05). Age and pathological TNM stage were independent influencing factors for disease-free survival time in patients with clinical T1bN0M0 thoracic esophageal cancer ( hazard ratio=1.215, 3.301, 95% confidence interval as 1.012-1.699, 2.012-6.321, P<0.05). Conclusions:There is no significant difference in overall survival and disease-free survival between patients with clinical T1bN0M0 thoracic esophageal cancer undergoing curative esophagectomy and dCRT. The treatment modality is not an independent prognostic factor.

To analyze the standard establishment approach and compilation rationale for metallic pharmaceutical packaging standard development in the 2025 edition of the Pharmacopeia of the People's Republic of China.This article systematically explained the background and process of establishing the guiding principles for metallic materials and containers used in pharmaceutical packaging in the Chinese Pharmacopoeia through basic information,relevant domestic and international standards,the establishment of key quality attributes of metallic pharmaceutical packaging materials,and the construction of metallic pharmaceutical packaging material standards.The newly established guidelines,the Pharmacopeia of the People's Republic of China 9625,prioritized product critical quality attributes(CQAs)and real-world applicability.This dual emphasis on rigidity and adaptability enhances drug safety,meets the regulatory requirements,and promotes the globalization and scientific advancement of China's pharmaceutical packaging industry.

Aim To investigate the effects of tran-scription factor FoxO1 on acute kidney injury(AKI)induced by ischemic reperfusion injury(IRI)and to explore the underlying mechanisms.Methods Male C57BL/6 mice were randomly divided into four groups:Sham,IRI,FoxO1 inducible cell-specific knockout(FoxO1 icKO),and IRI+FoxO1 icKO.Tamoxifen(25 mg·kg-1)was intraperitoneally injec-ted to specifically knock out FoxO1 in mouse macro-phages,and a unilateral renal IRI model was estab-lished.The levels of serum creatinine(Scr),blood u-rea nitrogen(BUN),Fe2+,malondialdehyde(MDA),reactive oxygen species(ROS),and reduced glutathi-one(GSH)in renal tissues were detected.Hematoxy-lin-eosin(HE)staining was used to observe the patho-logical changes in renal tissues.Quantitative polymer-ase chain reaction(qPCR)was used to detect the mR-NA levels of inflammatory factors such as IL-1β and MCP1 in renal tissues.Western blot was used to detect the expression levels of apoptosis and ferroptosis-relat-ed proteins.Results Compared with the control group,the levels of Scr and BUN in the IRI group were significantly upregulated,the infiltration of inflammato-ry factors IL-1β,TNF-α and MCP1 increased,the pro-tein expressions of Bax/Bc12,cleaved-caspase-3/caspase-3,cytochrome C,and FTH1 in renal tissues were significantly enhanced,while the expression of GPX4 decreased.In addition,the levels of Fe2+,MDA and ROS in the renal cortex of the IRI group signifi-cantly increased,and the level of GSH markedly de-creased(P＜0.05).Compared with the IRI group,the levels of Scr and BUN in the FoxO1 icKO group were significantly reduced,the infiltration of inflammatory factors was alleviated,the expression of apoptosis-relat-ed proteins in renal tissue decreased,the expression level of ferroptosis protein GPX4 increased,and the ex-pression of FTH1 decreased.The levels of Fe2+,MDA and ROS in the renal cortex decreased,and the level of GSH significantly increased(P＜0.05).Conclusion Inducing the specific knockout of FoxO1 in macro-phages can alleviate AKI induced by IRI,and its mech-anism may be related to the inhibition of ferroptosis caused by IRI by FoxO1.

Objective To analyze the research hotspots and frontiers in the field of cost management in Chinese hospitals and provide a reference for cost management research and practice in hospitals.Methods Based on the CNKI and Wanfang da-tabases,relevant literature up to May 31,2024 was retrieved and recorded,totaling 3 589 records,and then analyzed using Citespace visualization software.Results Literature reports have been seen since 1987,with a significant increase in 2000 and reaching its peak in 2010.A total of 16 core topics have been formed,including cost accounting,public hospitals,hospitals,ac-tivity-based costing,management,cost management,economic management,medical costs,hospital financial system,and medi-cal expenses.In recent years,emerging terms have been disease diagnosis related groups,operational management,medical sup-plies,refined management,cost control,and business finance integration.Conclusion External policies have promoted the pro-gress of research and practice in cost management in hospitals;disease diagnosis related groups and cost control are the latest hotspots in cost management research and practice in hospitals;and the importance of business finance integration in hospital op-erations management is gradually increasing.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.