[摘 要] 目的：探讨环状RNA CEMIP（circCEMIP）对膀胱癌UMUC-3细胞增殖、迁移和侵袭的影响及其分子机制。方法：通过TCGA数据库分析circCEMIP在膀胱癌组织中的表达水平，分析其表达与膀胱癌患者临床分期及生存期的关系。采用qPCR法检测circCEMIP在膀胱癌细胞5637、UMUC-3、MGH-U3、J82和T24中的表达。利用RNA干扰技术，分别将si-circCEMIP及其阴性对照（si-NC）、anti-miR-335及其阴性对照（anti-miR-NC）转染UMUC-3细胞，记为si-circCEMIP组、si-NC组、si-circCEMIP + anti-miR-335组和si-circCEMIP + anti-miR-NC组。采用克隆形成实验、划痕愈合实验和Transwell实验分别检测circCEMIP和miR-335表达对UMUC-3细胞增殖、迁移和侵袭能力的影响，双萤光素酶报告基因实验验证circCEMIP与miR-335的靶向关系，WB法检测细胞中VEGF-C信号通路相关蛋白的表达。构建UMUC-3细胞裸鼠皮下移植瘤模型，观察敲低circCEMIP对移植瘤生长的影响。结果：膀胱癌组织中circCEMIP呈高表达（P < 0.01），其表达水平与膀胱癌的临床分期正相关（P < 0.01），circCEMIP高表达患者生存率较低（P < 0.01）。circCEMIP在膀胱癌5637、UMUC-3、MGH-U3、J82和T24细胞中呈高表达（均P < 0.01）。敲低circCEMIP显著降低UMUC-3细胞的增殖、迁移和侵袭能力（均P < 0.01）。circCEMIP可靶向结合miR-335（P < 0.01），敲低circCEMIP能显著上调miR-335表达（P < 0.01）。抑制miR-335表达能逆转敲低circCEMIP对UMUC-3细胞增殖、迁移和侵袭的抑制作用（均P < 0.01）。敲低circCEMIP能明显下调VEGF-C信号通路相关蛋白VEGF-C、MMP-2、MMP-9和β-catenin表达（均P < 0.01），抑制miR-335表达能部分逆转敲低circCEMIP对该通路相关蛋白表达的抑制作用（均P < 0.01）。体内实验证实，敲低circCEMIP能够抑制裸鼠膀胱癌移植瘤的生长（P < 0.01）。结论：敲低circCEMIP通过上调miR-335表达抑制膀胱癌UMUC-3细胞的增殖、迁移和侵袭。

Abstract Recently, the Ministry of Education issued Guiding Opinions on Comprehensively Promoting the Construction of Healthy Schools hereinafter referred to as the Guiding Opinions, which systematically established the goal system, key tasks, critical measures, and safeguard mechanisms for the construction of healthy schools in the new era. Against the backdrop, comprehensively promoting the construction of healthy schools has become a core project for implementing the concept of "Health First", carrying out joint prevention and control of multiple diseases, and responding to national action plans. Based on a systematic analysis of the internal logic between healthy school construction and the "education powerhouse strategy", the study deeply expounds on its core mission as a "foundational project for talent cultivation" and a "hub for the integration of five educations". Combining the eight key tasks and three critical measures clarified in the Guiding Opinions, it constructs a multi dimensional, systematic, and operable implementation path from the aspects of concept leadership and practice internalization, data monitoring and closed loop management, team support and environmental optimization, literacy promotion and evaluation innovation, innovation drive and characteristic development,digital empowerment and smart governance. The study provides a forward looking and strategic comprehensive solution for improving the collective health literacy of students and building a comprehensive prevention and control system for common campus diseases in the new era.

The accurate segmentation of breast ultrasound images is an important precondition for the lesion determination. The existing segmentation approaches embrace massive parameters, sluggish inference speed, and huge memory consumption. To tackle this problem, we propose T ²KD Attention U-Net (dual-Teacher Knowledge Distillation Attention U-Net), a lightweight semantic segmentation method combined double-path joint distillation in breast ultrasound images. Primarily, we designed two teacher models to learn the fine-grained features from each class of images according to different feature representation and semantic information of benign and malignant breast lesions. Then we leveraged the joint distillation to train a lightweight student model. Finally, we constructed a novel weight balance loss to focus on the semantic feature of small objection, solving the unbalance problem of tumor and background. Specifically, the extensive experiments conducted on Dataset BUSI and Dataset B demonstrated that the T ²KD Attention U-Net outperformed various knowledge distillation counterparts. Concretely, the accuracy, recall, precision, Dice, and mIoU of proposed method were 95.26%, 86.23%, 85.09%, 83.59%and 77.78% on Dataset BUSI, respectively. And these performance indexes were 97.95%, 92.80%, 88.33%, 88.40% and 82.42% on Dataset B, respectively. Compared with other models, the performance of this model was significantly improved. Meanwhile, compared with the teacher model, the number, size, and complexity of student model were significantly reduced (2.2×10 ⁶ vs. 106.1×10 ⁶, 8.4 MB vs. 414 MB, 16.59 GFLOPs vs. 205.98 GFLOPs, respectively). Indeedy, the proposed model guarantees the performances while greatly decreasing the amount of computation, which provides a new method for the deployment of clinical medical scenarios.
Humans ; Breast Neoplasms/diagnostic imaging* ; Female ; Ultrasonography, Mammary/methods* ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Neural Networks, Computer ; Breast/diagnostic imaging*

OBJECTIVES: To report the development, validation, and findings of the Multi-dimensional Attention Rating Scale (MARS), a self-report tool crafted to evaluate six-dimension attention levels. METHODS: The MARS was developed based on Classical Test Theory (CTT). Totally 202 highly educated healthy adult participants were recruited for reliability and validity tests. Reliability was measured using Cronbach's alpha and test-retest reliability. Structural validity was explored using principal component analysis. Criterion validity was analyzed by correlating MARS scores with the Toronto Hospital Alertness Test (THAT), the Attentional Control Scale (ACS), and the Attention Network Test (ANT). RESULTS: The MARS comprises 12 items spanning six distinct dimensions of attention: focused attention, sustained attention, shifting attention, selective attention, divided attention, and response inhibition.As assessed by six experts, the content validation index (CVI) was 0.95, the Cronbach's alpha for the MARS was 0.78, and the test-retest reliability was 0.81. Four factors were identified (cumulative variance contribution rate 68.79%). The total score of MARS was correlated positively with THAT (r = 0.60, P < 0.01) and ACS (r = 0.78, P < 0.01) and negatively with ANT's reaction time for alerting (r = -0.31, P = 0.049). CONCLUSIONS The MARS can reliably and validly assess six-dimension attention levels in real-world settings and is expected to be a new tool for assessing multi-dimensional attention impairments in different mental disorders.
Humans ; Adult ; Male ; Attention/physiology* ; Female ; Middle Aged ; Reproducibility of Results ; Young Adult ; Psychometrics

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

BACKGROUND: PANoptosis has the features of pyroptosis, apoptosis, and necroptosis. Numerous studies have confirmed the diverse roles of various types of cell death in acute liver failure (ALF), but limited attention has been given to the crosstalk among them. In this study, we aimed to explore the role of PANoptosis in ALF and uncover new targets for its prevention or treatment. METHODS: Three ALF-related datasets (GSE14668, GSE62029, and GSE74000) were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). Hub genes were identified through intersecting DEGs, genes obtained from weighted gene co-expression network analysis (WGCNA), and genes related to PANoptosis. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein‍‒‍protein interaction (PPI) analyses and gene set enrichment analysis (GSEA) were performed to determine functional roles. Verification was performed using an ALF mouse model. RESULTS: Our results showed that expression of seven hub genes (B-cell lymphoma-2-modifying factor (BMF), B-cell lymphoma-2-interacting protein 3-like (BNIP3L), Caspase-1 (CASP1), receptor-interacting protein kinase 3 (RIPK3), uveal autoantigen with coiled-coil domains and ankyrin repeats protein (UACA), uncoordinated-5 homolog B receptor (UNC5B), and Z-DNA-binding protein 1 (ZBP1)) was up-regulated in liver samples of patients. However, in the ALF mouse model, the expression of BNIP3L, RIPK3, phosphorylated RIPK3 (P-RIPK3), UACA, and cleaved caspase-1 was up-regulated, while the expression of CASP1 and UNC5B was down-regulated. The expression of ZBP1 and BMF increased only during the development of ALF, and there was no significant change in the end stage. Immunofluorescence of mouse liver tissue showed that macrophages expressed all seven markers. Western blot results showed that pyroptosis, apoptosis, and necroptosis were always involved in lipopolysaccharide (LPS)/ d-galactosamine (d-gal)‍-induced ALF mice. The ALF cell model showed that bone marrow-derived macrophages (BMDMs) form PANoptosomes after LPS stimulation. CONCLUSIONS: Our results suggest that PANoptosis of macrophages promotes the development of ALF. The seven new ALF biomarkers identified and validated in this study may contribute to further investigation of diagnostic markers or novel therapeutic targets of ALF.
Animals ; Liver Failure, Acute/genetics* ; Computational Biology ; Mice ; Pyroptosis/genetics* ; Humans ; Protein Interaction Maps ; Apoptosis/genetics* ; Necroptosis/genetics* ; Gene Regulatory Networks ; Gene Ontology ; Gene Expression Profiling ; Disease Models, Animal

Objective To investigate the protective effect of benzoylaconine(BAC)on H9c2 cardio-myocytes after oxygen glucose deprivation/reoxyenation(OGD/R)injury.Methods After an in vitro model of OGD/R injury was established in H9c2 cells,the cells were treated with BAC at different concentrations(0,25,50,75,100 μmol/L)to determine its optimal dose.Then,H9c2 cells were randomly divided into control group,OGD/R group,OGD/R+BAC group(75 μmol),OGD/R+LY294002 group(PI3K/Akt inhibitor),and OGD/R+LY294002+BAC group.Corre-sponding reagent kits were used to determine cell viability and LDH level,as well as the expres-sion levels of TNF-α,IL-6,IL-1β,MDA and GSH-Px in the cells.Western blotting was applied to detect the expression of the PI3K/Akt pathway proteins,as well as autophagic proteins such as LC3,Beclin1,and P62.Results Compared to the control group,the cell viability was significantly decreased,and LDH level was obviously increased in the OGD/R group(P＜0.01).Treatment of 75 μmol/L BAC significantly increased the cell viability(0.87±0.06 vs 40.49±0.06,P＜0.01)and decreased the LDH level(86.75±7.79 U/L vs 234.42±6.20 U/L,P＜0.01)when compared to the levels of the OGD/R group.OGD/R injury induced notable increases in TNF-α,IL-6,IL-1β,and MDA expression levels,while decrease of GSH-Px expression level(P＜0.01),and down-regulation of p-PI3K,p-Akt and P62 and up-regulation of LC3 Ⅱ/LC3 Ⅰ and Beclin-1(P＜0.01)when compared with the control group.Treatment of 75 μmol/L BAC increased the levels of p-PI3K,p-Akt,and P62 proteins(0.90±0.07 vs 0.58±0.04,1.02±0.02 vs 0.49±0.01,1.48±0.05 vs 0.87±0.04)and decreased those of LC3 Ⅱ/LC3 Ⅰ and Beclin-1(0.52±0.01 vs 1.24±0.04,0.12±0.01 vs 0.32±0.02)when compared with the OGD/R group(P＜0.01).Conclusions BAC attenu-ates the inflammatory response and oxidative stress of myocardial cells after OGD/R injury,regu-lates autophagy homeostasis,and reduces myocardial cell damage.Its regulatory effect on myocar-dial autophagy homeostasis may be related to the activation of the PI3K/Akt pathway.

Objective:To evaluate the accuracy and output stability of online general natural language processing(NLP)models for staging diagnosis and identifying medium-and high-risk factors in cervical cancer patients based on pathology reports.Methods:Surgical pathological reports of 65 patients with cervical cancer who received postoperative adjuvant radiotherapy at Shanghai General Hospital from January 2022 to December 2023 were retrospectively selected.These reports were input into two online NLP models,Kimi and ChatGPT-4o,and their output staging diagnosis results were recorded.Then,the results were classified into 3 categories and scored as follows:correct(2 points),basically correct(1 point)and incorrect(0 point).Each pathologic report was tested 5 times to assess the stability of the outputs form Kimi and ChatGPT-4o,and the consistency between the NLP models and clinical physicians in cervical cancer staging was compared.Prompt-based questioning was used to evaluate Kimi's ability to extract medium-and high-risk factors from the pathology reports of cervical cancer patients.Results:There was no statistical significant difference in the staging diagnosis results between the two NLP models and the clinical physicians(x2=5.740,P=0.057).Kimi and ChatGPT-4o respectively produced 56 and 47 correct results,6 and 15 basically correct results,and 3 and 3 incorrect results.Their mean scores were 7.08±2.70 and 7.97±2.97,and the difference between them was statistically significant(P=0.040).In the extraction of risk factors from 65 cervical cancer patients,involving a total of 390 factors,Kimi made only three false-positive errors,with all other factors correctly identified.Conclusion:Online general NLP models can stably output the stage of cervical cancer patients with diagnostic accuracy comparable to clinical physicians.With the assistance of prompt-based questioning,these NLP models can accurately extract medium-and high-risk factors from pathology reports of cervical cancer patients,demonstrating promising clinical application potential.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.

Objective:To explore the impact of a three-dimensional management based on a perinatal one-day clinic on pregnancy outcomes in overweight and obese pregnant women.Methods:It was a randomized controlled trial. A simple random sampling method was used to select 460 singleton pregnant women with a pre-pregnancy body mass index≥24 kg/m2 who had regular prenatal check-ups at the Obstetrics and Gynecology Center of the Third Affiliated Hospital of Chongqing Medical University from June 1, 2018, to December 31, 2022. The women were randomly divided into an experimental group and a control group (230 cases each) using a computer-generated random number table. The control group received regular prenatal check-ups according to the pregnancy care guidelines (once every 4 weeks during mid-pregnancy, once every 2 weeks during late pregnancy, with additional frequency as needed based on the condition). The control group also received a one-time body composition analysis and dietary guidance from a nutritionist at the time of registration. In addition to the control group′s interventions, the experimental group received three-dimensional management based on a perinatal one-day clinic. It included an intensive one-day clinic session, a traditional plus internet-based re-education model (as needed based on the condition), individualized guidance from obstetrics and clinical nutrition clinics (once every 2 weeks), a free body composition test at 24 weeks of pregnancy, and weekly WeChat group push of health care knowledge during pregnancy. A total of 55 cases dropped out, leaving 200 cases in the experimental group and 205 cases in the control group for analysis. General information, pregnancy-related, and postpartum indicators were collected in the two groups. The effect of three-dimensional management based on a perinatal one-day clinic on pregnancy outcomes in overweight and obese pregnant women was analyzed using t-tests and chi-square tests. Results:There was no significant differences in baseline age, pre-pregnancy body mass index, initial blood glucose, initial glycated hemoglobin, or initial gestational age between the two groups (all P>0.05). The experimental group showed significantly lower gestational weight gain, neonatal weight, and proportion of excessive pregnancy weight gain compared to those in the control group [(11.41±5.23) vs (13.22±4.51) kg, (3 352.1±465.3) vs (3 489.5±464.0) g, 48.00% vs 73.17%] (all P<0.05). There were no significant differences in hospitalization days, gestational age at delivery, incidence of gestational diabetes, incidence of hypertensive disorders of pregnancy, incidence of premature rupture of membranes, incidence of preterm birth, incidence of macrosomia, vaginal delivery rate and rate of neonatal transfer to the pediatric department between the two groups (all P>0.05). Conclusion:Early intervention with the three-dimensional management based on the one-day perinatal clinic can effectively control gestational weight gain and neonatal weight in overweight and obese pregnant women.