Atopic dermatitis （AD） is an atopic disease with a complex etiology and pathogenesis resulting from the interaction of multiple factors. The NOD-like receptor pyrin domain-containing 3 （NLRP3） inflammasome is an important component of innate immunity and is involved in the onset and progression of AD， encompassing multiple processes such as inflammation， pyroptosis， and autophagy. Traditional Chinese medicine （TCM） has shown significant clinical efficacy in the treatment of AD and also offers advantages including flexible compatibility， multi-target effects， and low drug resistance. A large number of studies have shown that single Chinese medicinal components and compound prescriptions can treat atopic diseases by modulating the NLRP3 inflammasome. This article elaborates on the activation of the NLRP3 inflammasome and its influence on the pathogenesis and progression of AD， and summarizes recent studies on the mechanisms by which active constituents， extracts， and compound formulations of Chinese medicine treat AD through regulation of the NLRP3 inflammasome and related signaling pathways， with the aim of providing a reference for the clinical treatment of AD and the development of TCM.

Objective: To analyze the association between insufficient sleep and score of depressive symptoms among junior and senior high school students, so as to provide a scientific reference for targeted early intervention measures of adolescents depressive symptoms. Methods: From September to November 2023, a stratified cluster random sampling method was used to select 96 080 junior and senior high school students from 409 schools in 113 districts and counties in Shaanxi Province. A questionnaire survey was conducted using the 2023 Shaanxi Provincial Common Student Diseases and Health Influencing Factors Survey Form, and their height and weight were measured. Propensity score (PS) matched (1∶1) analysis was used to match participants with insufficient sleep to those sufficient sleep students. Through the gradual correction of the confounders, three multilevel linear models were established to analyze the association between insufficient sleep and depressive symptoms score, and subgroup analysis was conducted afterward. Results: A total of 70 135 (73.00%) students had insufficient sleep. After PS matching, 25 894 pairs were matched. Before PS matching, after adjusting for gender, educational stage, region, adolescent characteristics, boarding status, smoking, alcohol consumption, outdoor activities and body mass index grouping, linear regression analysis results showed that compared with students who got adequate sleep, students who lacked sleep had an increase of 1.39 scores ( B=1.39, 95%CI =1.28-1.51) in depressive symptoms; after PS matching, students with insufficient sleep got an increase of 1.32 scores ( B=1.32, 95%CI =1.17- 1.45 ) in depressive symptoms score compared with those who had adequate sleep (both P <0.05). Conclusions The insufficient sleep is associated with the increase of the depressive symptoms score of junior and senior high school students. It is recommended that junior and senior high school students should keep a good sleeping habit, so as to reduce the prevalence of depressive symptoms.

ObjectiveTo establish a high-performance liquid chromatography（HPLC） for the quantitative analysis of multiple components in Gegen Qinlian tablets， and to comprehensively evaluate the quality of samples from different manufacturers by integrating chemical pattern recognition and technique for order preference by similarity to ideal solution（TOPSIS）， in order to provide a reference basis for quality evaluation and control of Gegen Qinlian tablets. MethodsHPLC was employed to determine the contents of 10 components in 28 batches of Gegen Qinlian tablets collected from 6 manufacturers， and taking the detection results as variables， SIMCA 14.1 and SPSS 26.0 were employed for cluster analysis（CA）， principal component analysis（PCA）， and orthogonal partial least squares-discriminant analysis（OPLS-DA） to identify key components affecting the quality. Then， TOPSIS analysis was employed to rank the quality of Gegen Qinlian tablets from the 6 manufacturers and establish a comprehensive quality evaluation method. ResultsA quantitative method for Gegen Qinlian tablets was established. After methodological validation， the method was found to be stable and reliable， and could be used for the quantitative analysis of this preparation. The contents of 3′-hydroxy puerarin， puerarin， 3′-methoxy puerarin， daidzein， coptisine hydrochloride， epiberberine， jatrorrhizine hydrochloride， berberine hydrochloride， palmatine hydrochloride and baicalin in 28 batches of samples were 3.58-7.35， 24.88-42.32， 4.20-9.36， 4.33-7.60， 2.52-6.44， 0.93-4.10， 0.58-3.05， 10.68-22.92， 0.82-4.82， 11.73-60.16 mg·g^-1， respectively. Among them， puerarin， berberine hydrochloride and baicalin all met the limit requirements for this preparation specified in the 2025 edition of the Pharmacopoeia of the People's Republic of China. CA and PCA clustered the 28 batches of samples into 5 categories， PCA extracted 2 principal components with a cumulative variance contribution rate of 90.588%， and OPLS-DA screened out 4 differential markers with variable importance in the projection（VIP） values>1.0， namely baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride， which might be the main components affecting the quality of Gegen Qinlian tablets. TOPSIS analysis showed that the comprehensive score of each evaluation index（C_i） values of different manufacturers were different. Among them， the C_i of manufacturer B was ranked higher， indicating potentially superior quality， while the C_i of manufacturer A was ranked lower， suggesting potentially inferior quality. ConclusionThis study establishes a quantitative method for Gegen Qinlian tablets， and the content uniformity of the same manufacturer is good， while there are differences in the contents of active components among different manufacturers. Through the chemical pattern recognition analysis， it is found that the content differences of Gegen Qinlian tablets may be related to baicalin， 3′-hydroxy puerarin， coptisine hydrochloride and palmatine hydrochloride.

Periodontitis is a chronic inflammatory disease, and its occurrence and development are closely related to the imbalance of local innate immune responses. The caspase family plays a crucial role in regulating inflammatory responses and cell death pathways in periodontal innate immune cells (such as gingival epithelial cells, neutrophils, macrophages, dendritic cells, and natural killer cells). These proteases exhibit a dual regulatory effect on cellular functions. On one hand, apoptotic pathways mediated by caspase-3/7/9 enable the programmed clearance of senescent or damaged cells, while pyroptosis pathways mediated by caspase-1/4 contribute to immune defense and pathogen elimination, collectively helping to maintain tissue homeostasis. On the other hand, excessive activation of the caspase-1/gasdermin D pathway, as well as inflammatory amplification pathways involving caspase-4/6/8, promotes the release of inflammatory cytokines such as IL-1β and IL-18, leading to the disruption of the epithelial barrier and exacerbation of periodontal tissue damage. Caspase regulation exhibits both commonality and cell specificity. In gingival epithelial cells, caspase-1 mediates pyroptosis and inflammation activation, caspase-3 regulates apoptosis and proliferation signaling, and caspase-4 participates in differentiation regulation and pathogen-selective immune responses, collectively adapting to physiological and pathological changes. Neutrophils can utilize the caspase-1/gasdermin D signaling pathway to drive the release of neutrophil extracellular traps without triggering typical pyroptosis. In macrophages, caspase-1 and caspase-8 synergistically promote polarization toward the M1 phenotype, while caspase-3 acts as an apoptosis executor to facilitate macrophage transition to the M2 phenotype in specific microenvironments. This article reviews caspase’s specific mechanism of action in periodontal innate immune-related cells, aiming to provide a new theoretical basis for targeted regulation of caspase in the treatment of periodontitis.

BackgroundCurrently， the incidence of depression among teenagers is on the rise， and the related academic problems are becoming increasingly serious. Short video addiction has a negative impact on teenagers' emotional issues and academic achievements. However， few studies have explored the relationship between this addiction and the learning burnout of teenagers with depression， and even fewer have focused on the role paths of impulsivity and coping disposition in this process. ObjectiveTo explore the relationship between short video addiction and learning burnout in adolescent patients with depression， as well as the pathway of impulsivity and coping disposition， so as to provide references for the intervention of learning burnout in adolescent patients with depression. MethodsA total of 191 adolescent patients who were hospitalized at The Affiliated Brain Hospital of Guangzhou Medical University from December 2024 to April 2025 and met the diagnostic criteria for depression according to the International Classification of Diseases， tenth edition （ICD-10） were selected consecutively. The Short Video Addiction Measurement Scale （SVAMS）， the Brief Barratt Impulsiveness Scale （BBIS）， the Simplified Coping Style Questionnaire （SCSQ）， and the Adolescent Student Burnout Inventory （ASBI） were used for assessment. Pearson correlation analysis was employed to examine the correlations of the scores of each scale. Model 6 of the SPSS macro Process 4.2 was employed to analyze the chained mediation pathway of impulsivity and coping disposition between short video addiction and learning burnout. ResultsA total of 173 cases （90.58%） of adolescent patients with depression completed the valid questionnaire survey. Correlation analysis showed that SCSQ coping disposition score was negatively correlated with the SVAMS score， the BBIS score， and the ASBI score （r=-0.282， -0.341， -0.431， P<0.01）， the SVAMS score was positively correlated with the BBIS score and the ASBI score （r=0.339， 0.262， P<0.01）， and the BBIS score was positively correlated with the ASBI score （r=0.486， P<0.01）. The pathway analysis showed that the direct effect of short video addiction on learning burnout was not statistically significant， but the total effect and the indirect effect were statistically significant. The effect values were 0.275 （95% CI： 0.207–0.343） and 0.193 （95% CI： 0.143–0.246）， respectively， with the indirect effect accounting for 70.18%. Impulsivity and coping disposition both played independent mediating roles between short video addiction and learning burnout， with effect values of 0.122 （95% CI： 0.090–0.156） and 0.054 （95% CI： 0.032–0.079）， accounting for 44.36% and 19.64% of the total effect， respectively. The chained mediation effect of impulsivity and coping disposition was significant， with an effect value of 0.017 （95% CI： 0.011–0.026）， accounting for 6.18% of the total effect. ConclusionAlthough short video addiction does not directly affect learning burnout in adolescent patients with depression， it may indirectly influence learning burnout through independent and chain paths of impulsivity and coping disposition. ［Funded by Guangzhou Key Clinical Specialty （Clinical Medical Research Institute）］

The goal of medical talent training under the new medical science concept is to comprehensively enhance the quality of medical education and cultivate high-quality medical talents with interdisciplinary integration, innovation spirit, and an international perspective to meet the demands of the new era. To achieve this goal, the joint education program between Chongqing Medical University and the University of Leicester integrates comprehensive quality development into the undergraduate medical education system, introducing the cutting-edge international course "Respiratory and Cancer Precision Medicine". This course centers on precision medicine, spanning respiratory diseases and oncology, and uses a clinical-basic cyclical integrated course design with a highly-informationized blended teaching model. Students have gained a close integration of clinical practice and research capabilities, significantly enhancing their inquiry spirit, critical thinking, independent learning, and higher-order cognitive skills. They also engage in innovative thinking and interdisciplinary collaboration within an international context to better address complex medical issues. This paper provides a detailed analysis of the practice and research of the introduced course, offering valuable insights for cultivating high-quality medical talents.

Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer-related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.

Objective To evaluate the diagnostic efficacy of sound touch viscoelastography(STVi)and shear wave elastography(SWE)in distinguishing between benign and malignant breast nodules.Methods A total of 104 breast nodules(52 benign and 52 malignant)from 102 patients scheduled for surgical treatment at Binzhou Medical University Hospital between October 2024 and February 2025 were prospectively enrolled.All nodules were pathologically confirmed through surgical excision or core needle biopsy.The viscosity coefficient and Young's modulus of both intranodular and perinodular tissues within a 2-mm range were measured using the Mindray Resona A20S ultrasound system.The diagnostic performance of each parameter,the correlation between elastic parameter values and the maximum nodule diameter,as well as the inter-correlation between the two parameters were systematically analyzed.Results The elasticity parameters were significantly higher in malignant nodules[maximum intranodular Viscosity coefficient(Vimax):5.93(4.33,8.47)Pa·s,maximum Young's modulus(Emax):81.18(58.31,120.33)kPa;maximum Viscosity coefficient of the surrounding 2-mm tissue(Vi2max):7.57(5.40,10.16)Pa·s,maximum Young's modulus(E2max):117.21(65.66,170.66)kPa]compared to benign nodules[Vimax:3.70(2.69,5.32)Pa·s,Emax:41.42(28.29,64.25)kPa;Vi2max:4.30(3.63,5.65)Pa·s,E2max:47.23(36.42,74.67)kPa](P<0.05).The diagnostic performance of the 2-mm perinodular tissue(Vi2max:0.78,E2max:0.81)surpassed that of intranodular tissue(Vimax:0.72,Emax:0.77)(P<0.05).The combined diagnostic model(Vi2+E2,Vi+E)achieved AUC values of 0.82 and 0.77,respectively,which outperformed STVi alone(P<0.05)and showed marginally better performance than SWE alone,although the difference was not statistically significant(P>0.05).The maximum nodule diameter showed a moderate correlation with the elasticity parameters,with E2max exhibiting the strongest correlation(r=0.510,P<0.05).Conclusions Both STVi and SWE show clinical value in distinguishing between benign and malignant breast nodules.Particularly,elasticity parameters obtained from the 2-mm perinodular tissue demonstrate better diagnostic performance than those measured within the nodule itself,and combining these parameters enhances the overall diagnostic accuracy of STVi.

Objective To explore the potential targets and pathways of Yanghe Decoction for the treatment of granulomatous lobular mastitis(GLM)using network pharmacology and molecular docking;To experimentally validate its mechanism.Methods Active components and targets of Yanghe Decoction were screened through TCMSP and TCM-ID.GLM targets were retrieved from GeneCards and OMIM databases,the intersection of drug targets and disease targets was taken,and a protein interaction network was constructed.GO and KEGG pathway enrichment analysis was performed.Molecular docking of main components and key targets was conducted.Totally 60 SD rats were randomly divided into blank group,model group,prednisolone group(0.005 g/kg),and Yanghe Decoction low-,medium-and high-dosage groups(2.5,5.0,10.0 g/kg).Except for the blank group,GLM models were constructed for all other groups,and corresponding drug interventions were given to each treatment group for 14 consecutive days.The body mass and breast mass size of rats were recorded,breast ultrasound images were collected,and the inflammatory index score was scored.The pathological morphology of rat breast tissue was observed through HE staining.ELISA was used to detect the contents of IL-1β,IL-6 and TNF-α in serum.Western blot was used to detect the protein expressions of IL-1β,IL-6,TNF-α,IκBα,TLR4 and p65 in breast tissue.Results Yanghe Decoction was screened for 140 active components,363 targets,and 32 intersecting targets with GLM,mainly involving NF-κB,PI3K-Akt signaling pathway,etc.Molecular docking showed that the main components had good binding activities with key targets.Compared with the blank group,rats in the model group showed obvious redness and swelling of the breasts with a large range of lumps and a significant increase in mammary inflammation index score(P<0.01),and ultrasound could detect a large range of patchy hypoechoic areas,and pathological changes showed a variety of inflammatory cell infiltration in the mammary lobules and the formation of tiny abscesses,and the serum contents of IL-1β,IL-6 and TNF-α in the model group significantly increased(P<0.01),the protein expressions of IL-1β,IL-6,TNF-α,TLR4 and p65 in breast tissue significantly increased(P<0.01),and the protein expression of IκBα significantly decreased(P<0.05).Compared with the model group,the erythema of the breasts of the rats in each treatment group was improved,and the extent of the lumps was reduced,and the reduction in the size of the lumps in the prednisolone group and the Yanghe Decoction high-dosage group was obvious(P<0.05).The inflammatory index score of prednisolone group and Yanghe Decoction groups decreased to different degrees(P<0.01),ultrasound showed a smaller range of hypoechoic area,pathology showed a reduction in the infiltration of inflammatory cells,and a reduction in the formation of granulomas and abscesses,and the prednisolone group and Yanghe Decoction groups significantly down-regulated the contents of IL-1β and TNF-α in serum(P<0.01),and the prednisolone group and Yanghe Decoction middle-and high-dosage groups significantly down-regulated the content of IL-6 in serum(P<0.05,P<0.01),the expression of TLR4 protein in breast tissue was significantly decreased in Yanghe Decoction high-dosage group(P<0.05),the expressions of IL-1β,IL-6,TNF-α and p65 proteins in prednisolone group and Yanghe Decoction groups were significantly decreased(P<0.05,P<0.01),and the expression of the protein of IκBα significantly increased(P<0.01).Conclusion Yanghe Decoction can reduce the inflammatory response in GLM rats,and its mechanism may be related to the inhibition of TLR4/NF-κB signalling pathway.

Objective To construct a global model of cardiac surface motion based on average intensity projection(AIP)image.Methods The cine magnetic resonance imaging data were divided into training set and test set for model construction and validation.The datum points were obtained on the AIP surface point cloud,and the corresponding points of each cardiac phase surface point cloud were found based on surface features.Principal component analysis was used to extract feature information,establish the mapping relationship between the datum points and the corresponding points,and construct a model for predicting each temporal phase surface point cloud from the AIP surface point cloud.Results The RMSE of the model on test set for corresponding point prediction ranged from(0.209±0.020)mm to(0.841±0.074)mm,while the Euclidean distance for each time phase surface point cloud prediction ranged from(1.399±0.029)mm to(1.658±0.100)mm.Conclusion The proposed global model exhibit high accuracy and can provide a reference for image segmentation and clinical treatments.