Objective: To investigate the prevalence and associated factors of depressive symptoms among junior and senior high school students in Beijing from 2019 to 2023, in order to provide a scientific basis for interventions targeting high risk groups. Methods: From 2019 to 2023, a stratified cluster random sampling method was used to select 88 927 junior and senior high school students from 16 districts in Beijing. The Center for Epidemiologic Studies Depression Scale(CES-D) was conducted to assess depressive symptoms. The Chi square test was used to compare the detection rates of depressive symptoms among different student groups, and the trend Chi square test was employed for trend analysis of detection rates across the years. Multivariate Logistic regression analysis was applied to examine the association between the detection of depressive symptoms and related factors among junior and senior high school students. Results: From 2019 to 2023, the prevalence rates of depressive symptoms among junior and senior high school students in Beijing were 20.45%, 18.19%, 16.64%, 17.89% and 18.17%, respectively, with an overall downward trend ( χ 2 trend =27.51, P <0.01). Multivariate Logistic regression analysis revealed that after adjusting for gender, monitoring year, educational stage,family structure,boarding status and has taken a medical leave of absence in the past year unhealthy dietary behaviors ( OR=1.80, 95%CI =1.73-1.87), physical inactivity ( OR=1.24, 95%CI =1.19-1.29), try smoking ( OR=1.46, 95%CI =1.35-1.58), try alcohol( OR=1.96, 95%CI =1.88-2.05), Internet addiction ( OR=3.88, 95%CI =3.57-4.22), and adverse ear related behavior ( OR=1.82, 95%CI =1.71-1.93) were all associated with an increased risk of depressive symptoms among junior and senior high school students (all P <0.05). Conclusions The prevalence depression symptoms among middle school students in Beijing showed a fluctuating downward trend from 2019 to 2023. Targeted interventions should be adopted to reduce the occurrence of depression symptoms among junior and senior high school students.

BackgroundPain is one of the most common physical symptoms in patients with major depressive disorder （MDD）. The high comorbidity rate of MDD and pain aggravates patients' physical and psychological distress， undermines their treatment adherence， and contributes to poor clinical outcomes， posing a critical challenge for the clinical management of MDD. Anxiety symptoms are strongly associated with the pain severity in patients with MDD， yet the underlying mechanisms of the association remain poorly elucidated. Accumulating evidence have indicated that depressive symptoms and pain vigilance and awareness are involved in the modulation of pain perception. Nevertheless， few studies have incorporated these variables into an integrated analytical framework to clarify their parallel mediating effects on the relationship between anxiety symptoms and pain severity. ObjectiveTo explore the mediating pathways linking anxiety symptoms to pain severity via depressive symptoms and pain vigilance and awareness in patients with MDD， so as to provide insights for precise intervention for MDD accompanied by pain symptoms. MethodsA total of 249 patients who met the diagnostic criteria for MDD specified in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） were recruited from Beijing Huilongguan Hospital from May to September 2025. Hamilton Depression Scale-17 item （HAMD-17）， Hamilton Anxiety Scale （HAMA）， Pain Vigilance and Awareness Questionnaire （PVAQ） and Numerical Rating Scale （NRS） were used for assessment. Partial correlation analyses were performed to examine correlations among these variables. Parallel mediating effects were tested using model 4 of the Process macro for SPSS， with depressive symptoms and pain vigilance and awareness as parallel mediators linking anxiety symptoms to pain severity. ResultsA total of 135 patients （54.22%） reported pain， comprising 59 （43.70%） with mild pain， 43 （31.85%） with moderate pain， and 33 （24.45%） with severe pain. Partial correlation analyses revealed significant positive correlations among HAMD-17， HAMA， PVAQ， and NRS scores in patients with MDD （r=0.198–0.424， P<0.05 or 0.01）. Anxiety symptoms positively predicted pain severity， with a direct effect of 0.128 （95% CI： 0.065–0.190）. Both depressive symptoms and pain vigilance and awareness acted as partial mediators linking anxiety symptoms to pain severity. The indirect effects were 0.057 （95% CI： 0.029–0.089） and 0.042 （95% CI： 0.016–0.079）， accounting for 25.22% and 18.58% of the total effect， respectively. ConclusionIn patients with MDD， anxiety symptoms exert a positive predictive effect on pain severity， which is partially mediated through the parallel roles of depressive symptoms and pain vigilance and awareness.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Objective To evaluate the effect of sodium hypochlorite and Ultra Clean on root canal cleaning and dentin structure.Methods A total of 129 single canal isolated teeth were collected and root canal was prepared to M # with Waveone Gold nickel titani-um file.After preparation,they were divided into 3 groups by random number table according to irrigant:group A sodium hypochlorite+normal saline,group B sodium hypochlorite+EDTA,and group C sodium hypochlorite+Ultra Clean.The dye was stained with 1％methylene blue solution,and the penetration depth and range of the dye solution were observed under a type microscope.The removal of debris and stain layer in the root canal was observed by digital camera and scanning electron microscope.The change of dentin micro-structure was analyzed by Fourier infrared spectrometer.Results In the upper middle part of the root canal,the penetration depth and range of group C were greater than those of groups A and B(P＜0.05);the percentage of debris in group C was lower than that of groups A and B(P＜0.05),and the stain layer score in groups B and C was lower than that of group A(P＜0.05).In the lower root ca-nal segment,groups B and C were superior to group A in the evaluation of permeability,debris and stain removal(P＜0.05).The demineralization ability and exposure of dentin collagen fiber in group C were higher than those in group A and blank group(P＜0.05).Conclusion Sodium hypochlorite combined with Ultra Clean is considered to have good cleaning effect and strong demineralization ability,but it may slightly increase the exposure of organic matter such as collagen fiber.

This study aims to screen the diagnostic biomarkers for fecal antigen of Echinococcus granulosus(E.granulosus)in dogs with high specificity and sensitivity.The sheep-derived EgPSC artificially infected dogs were collected,and the negative and positive fecal samples of dogs with E.granulosus were prepared by arecoline hydrobromide leakage method.Polyclonal antibody,negative fecal antigen-polyclonal antibody conjugates and positive fecal antigen-polyclonal antibody conju-gates were purified by ammonium sulfate precipitation and affinity chromatography,three groups of samples were detected by ELISA and Western blot,LC-MS/MS and bioinformatics analysis were performed on the three groups of samples.The positive fecal antigen-polyclonal antibody con-jugate was used as the treatment group,the polyclonal antibody and the negative fecal antigen-polyclonal antibody conjugates were used as the control groups to screen the unique peptides of the treatment group.ELISA and Western blot showed that only the positive fecal antigen-polyclonal antibody conjugates were positive.According to LC-MS/MS and bioinformatics analysis,11 unique peptides were screened out only in the treatment group.Among them,3 proteins were related to E.granulosus,namely dysferlin,integrator complex 9 and diagnostic antigen gp50,which were mem-brane-associated proteins,INT complex components and diagnostic antigens.This study has pre-liminarily screened out three candidate canine E.granulosus fecal antigen diagnostic markers,pro-viding a reference for further exploration of diagnostic standards for E.granulosus,screening of echinococcosis target genes,and vaccine development.

Objective:To investigate the magnetic resonance imaging (MRI) features of pediatric and adolescent mediastinal T-lymphoblastic lymphoma (T-LBL) and to evaluate their predictive value for early treatment response.Methods:A retrospective, multicenter case series study was conducted on 49 pediatric and adolescent patients diagnosed with mediastinal T-LBL between September 2020 and May 2024 at the Fifth Affiliated Hospital of Zhengzhou University, Beijing Gaobo Boren Hospital, and Henan Cancer Hospital.All patients underwent chest MRI, including conventional MRI sequences and diffusion-weighted imaging.Tumor imaging characteristics were analyzed, and quantitative parameters such as minimum apparent diffusion coefficient (ADCmin), maximum ADC (ADCmax), and mean ADC (ADCmean) were measured.Treatment response was evaluated 15 days post-treatment.The patients were divided into a response group (complete or partial response, 26 cases) and a non-response group (progressive disease or minor response, 23 cases).The relationship between MRI features and treatment response was analyzed.The intraclass correlation coefficient was used to assess inter-reader agreement, and independent sample t-tests and chi-square tests were employed to compare differences between groups.Receiver operating characteristic (ROC) curve analysis was conducted to evaluate the predictive performance of imaging parameters. Results:Significant differences were observed between the response and non-response groups in ADC values [ADCmin (0.80±0.41)×10 -3 mm 2/s vs.(1.23±0.70)×10 -3 mm 2/s, ADCmax (1.14±0.48)×10 -3 mm 2/s vs.(1.92±0.77)×10 -3 mm 2/s, ADCmean (0.98±0.42)×10 -3 mm 2/s vs.(1.56±0.74)×10 -3 mm 2/s] and the maximum tumor diameter was [(11.92±3.61) cm vs.(8.17±2.46) cm] (all P<0.05).ROC curve analysis showed that ADCmax had the highest predictive efficiency for treatment response, with an area under the curve (AUC) of 0.853 (95% CI: 0.790-0.910), sensitivity of 92.3%, and specificity of 65.2%.The AUC for the maximum tumor diameter was 0.814, demonstrating its excellent predictive performance. Conclusions:MRI features, particularly ADC values and the maximum tumor diameter, can effectively predict treatment response in pediatric and adolescent mediastinal T-LBL.

To verify whether the two B-cell epitopes Pep1 and Pep4 in the FAdV-4 WZ fiber can be used as candidate epitopes for multivalent epitope vaccines,epitopes Pep1 and Pep4 were tandemly linked with the chicken infectious bronchitis virus strain M41 S1 protein gene in different patterns,and a recombinant fusion plasmid was constructed and expressed in E.coli BL21(DE3).It was confirmed by Western blot and ELISA tests that all four expressed fusion proteins reacted specific-ally with anti-M41 whole virus serum and WZ strain anti-Fiber 2-knob protein serum.After purifi-cation and immunization of BALB/c mice,specific antibodies against the peptide epitopes were de-tected in mouse sera.The results showed that the Pep4 epitope induced a stronger immune re-sponse than the Pep1 epitope.When Pep1 was connected with the amino and carboxyl termini of the fusion protein,respectively,both resulted in the production of the same level of anti-Pep1 anti-bodies in the immunized animals,whereas when Pep4 was connected with the carboxyl terminus of the fusion protein,the immunized animals produced a higher level of anti-Pep4-specific antibodies.This research indicates that the B cell epitopes Pep1 and Pep4 of the reactive WZ strain Fiber 2,when conjugated with proteins to form fusion proteins,can enhance the immunogenicity of Pep1 and Pep4 without affecting the antigenicity of the carrier protein.This study provides technical support and serves as a reference for the design and development of a multivalent epitope vaccine for FAdV-4.

Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P＜0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P＜0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P＜0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P＜0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.

Objective:From the dual perspectives of time and space,a quantitative evaluation of the policies for special outpatient chronic diseases in 31 cities in China over the years is carried out,so as to provide targeted suggestions for relevant departments in the design of medical insurance policies for chronic disease prevention and control.Methods:Combining the relevant literature and the content of the policy text,the policy consistency index model is constructed and quantitative evaluation is carried out based on the results.Results:Of the 421 policies,176 were"Narrowly covered"(41.81%),113 were"Meets expectations"(26.84%),109 were"Focused"(25.89%),and 23 were"Reasonably complete"(5.46%);while 30 cities were"qualified"or above in policy content(χ1),20 cities were"qualified"or above in policy audience(χ2),26 cities were"qualified"or above in policy inclination(χ3),4 cities were"qualified"or above in policy cohesion(χ4),and 24 cities were"qualified"or above in policy objective(χ5).Conclusion:The policies for special outpatient chronic diseases in 31 cities in China are characterized by rich content,wide audience coverage,and diverse policy linkages.To further enhance the security capabilities,it is recommended that sustained efforts be made to consolidate the foundation by standardizing the scope of disease types,strengthening the management of medical treatment in other places and optimizing the interface with other policies.

In situ bioimaging is a powerful tool for directly observing the localization, expression, and interactions of nucleic acids or protein targets within cells, providing essential insights into cell function and disease mechanisms. In recent years, the CRISPR/Cas9 system, a revolutionary gene-editing tool, has been applied to develop efficient in situ imaging techniques. This paper reviews recent CRISPR/Cas9-based imaging methods utilizing Cas9 protein, engineered single-guide RNA (sgRNA), and coupled fluorescent tags, and compares their application in living and fixed cells. It focuses on the specificity, signal amplification efficiency, and multi-modal imaging capabilities of these methods, with further discussion based on current research, aiming to offer a comprehensive overview of CRISPR/Cas9-based in situ bioimaging techniques, with some valuable reference and guidance for research in related fields.