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 explore the association of health literacy with overweight and obesity among middle school students in Chongqing, so as to provide evidence for obesity prevention and control strategies. Methods: From November to December 2019, a stratified cluster sampling method was used to select 7 851 middle school students from 8 complete middle schools across 4 districts/counties in Chongqing. Participants completed the Adolescent Health Literacy Questionnaire and underwent nutritional status assessments. Chisquare tests and multivariate Logistic regression analyses were performed to evaluate associations. Results: The prevalence of overweight and obesity among adolescents was 12.95%. The overall health literacy rate and rates for functional, interactive, and critical health literacy dimensions were 62.01%, 66.02%, 50.07%, and 72.42%, respectively. Significant differences in overweight and obesity prevalence were observed across districts/counties, urban/rural areas, sex, school stages, and onlychild status (χ2=25.93, 3.86, 80.55, 8.80, 6.43, P<0.05). After adjusting for confounding factors, multivariate Logistic regression revealed that middle school students with overall health literacy (OR=0.86, 95%CI=0.75-0.99), interactive health literacy (OR=0.85, 95%CI=0.74-0.97), and critical health literacy (OR=0.84, 95%CI=0.73-0.98) had a lower risk of overweight and obesity (P<0.05). Conclusions Health literacy is inversely associated with overweight and obesity among middle school students. Strengthening health education and improving interactive and critical health literacy may create favorable conditions for adolescent overweight and obesity prevention and control.

Objective: To explore the independent effects and gender differences of different types of adverse childhood experiences (ACEs) on the co-occurrence of non-suicidal self-injury (NSSI) and suicide attempts (SA), so as to provide a reference for the precise prevention and control of self-harm in junior high school students. Methods: From May to June 2023, a total of 7 360 junior high school students were selected from 12 schools in three districts/counties of Chongqing using a combination of stratified cluster sampling and convenience sampling methods. Information on NSSI, SA, ACEs, and depressive symptom, as well as other related data were collected through the Adolescent Non-suicidal Self-injury Assessment Questionnaire (ANSAQ), suicide related section of the Chinese Adolescent Health related Behavior Questionnaire (Junior High School Version), Childhood Trauma Questionnaire-Short Form ( CTQ- SF), and Center for Epidemiologic Studies-Depression Scale (CES-D). Statistical analyses of the data were performed using the Chi-square test and multiple Logistic regression. Results: The detection rates of NSSI, SA, NSSI+SA and ACEs in junior high school students were 19.2%, 4.6%, 3.5% and 57.9% respectively. After controlling for factors such as gender, grade, family type, self rated family economic status, self rated academic performance, self rated academic pressure, number of close friends, and depressive symptom scores, results from the multiple Logistic regression analysis showed that junior high school students with physical abuse ( OR = 1.98, 95% CI =1.23-3.18), emotional abuse ( OR =2.83, 95% CI =1.92-4.19), sexual abuse ( OR = 1.70, 95% CI =1.07- 2.69 ), physical neglect ( OR =1.67, 95% CI =1.20-2.33) and witnessing domestic violence ( OR =2.10, 95% CI =1.41-2.87) in childhood had higher risks for the occurrence of NSSI+SA (all P <0.05). After stratification by gender, boys with sexual abuse in childhood had a high risk for the occurrence of NSSI+SA ( OR =2.17, 95% CI =1.06-4.43), whereas girls with emotional abuse ( OR =3.69, 95% CI =2.29-5.94), physical neglect ( OR =1.62, 95% CI =1.07-2.45) and witnessing domestic violence ( OR =2.17, 95% CI =1.41-3.34) in childhood had hgih risks for the occurrence of NSSI+SA (all P <0.05). Conclusions Different types of ACEs have different effects on the co-occurrence of self-harm in junior high school students and there are gender differences. When family interventions are conducted for the combined model, emphasis should be placed on aspects of emotional abuse and domestic violence while optimizing the interventions based on gender differences.

Objective: To understand the current situation and influencing factors of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing, so as to provide a scientific basis for formulating a comprehensive strategy for the co prevention of multiple diseases among middle school students. Methods: From September to December 2024, 12 327 middle school students were selected from 6 districts and counties in Chongqing by the combination of stratified cluster sampling and convenience sampling method. The current status of depressive and anxiety symptoms was investigated by using the Center for Epidemiological Survey-Depression Scale (CES-D) and the Generalized Anxiety Disorder-7 (GAD-7). The Chi-squared test was used to compare the differences between groups with comorbidity of depressive and anxiety symptoms, multivariate Logistic regression analysis was used to analyze its related factors, and a nomogram prediction model was drawn. Results: The detection rates of depressive symptoms, anxiety symptoms and comorbidity among middle school students in Chongqing were 26.34%, 34.55% and 21.16%, respectively. Among them, the detection rates of the three types of symptoms in girls (29.80%, 40.99%, 25.15%) were all higher than those in boys (23.22%, 28.73%, 17.55%) ( χ 2=68.61, 204.23, 106.51, all P <0.01). Statistical significance was observed in the distribution of depressive and anxious symptoms among middle school students across different gender, academic stage, school district, family type, physical activity levels, parental discipline, smoking, alcohol consumption, sleep deprivation, excessive screen time, Internet addiction, and bullying ( χ 2=14.49-991.46, all P <0.01). Multivariate Logistic regression analysis showed that compared with junior high school students, ordinary high school students had a higher risk of comorbidity ( OR=2.71, 95% CI = 2.41-3.05); girls ( OR=2.17, 95%CI =1.95-2.40), non-core family ( OR=1.20, 95%CI =1.08-1.32), and good neighborhood ( OR=1.16, 95%CI =1.02-1.30), campus bullying ( OR=4.88, 95%CI =4.32-5.50), Internet addiction ( OR=4.77, 95%CI = 3.41 -6.68), parental beating and scolding ( OR=3.18, 95%CI =2.72-3.71), alcohol consumption ( OR=2.10, 95%CI =1.86- 2.37 ), and insufficient sleep ( OR=1.73, 95%CI =1.54-1.95) had higher risks with comorbidity of depression and anxiety symptoms (all P <0.05). A nomogram prediction model was constructed based on significant variables shows that C-index=0.75 (AUC= 0.75 , 95% CI=0.74-0.76, P <0.05), and the model had good predictive performance. Conclusions The current situation of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing is not optimistic. The nomograms can be used to effectively predict the risk of comorbidity of depressive and anxiety symptoms in middle school students.

Objective: To explore the potential subgroups of emotion regulation strategies among junior high school students and their moderating role in the relationship between parental psychological control and depressive symptom, so as to provide basis for improving mental health among junior high school students. Methods: In October 2024, a cluster sampling method was used to select 3 389 junior high school students from 4 secondary schools across 2 districts in Chongqing. Surveys were conducted by using Center for Epidemiological Survey-Depression Scale (CES-D), Chinese Parental Psychological Control Scale (CPPCS), and Emotion Regulation Questionnaire (ERQ). Latent profile analysis was applied to identify subgroups based on emotion regulation strategies, and multiple linear regression model was used to test the moderating effect of emotion regulation strategies on the association between parental psychological control and depressive symptom among junior high school students. Results: According to the two dimensions of emotion regulation strategies-cognitive reappraisal and expressive suppression, three distinct subgroups were identified:the moderate cognitive reappraisal-moderate expressive suppression subgroup (moderate-moderate subgroup, 64.2%), the low cognitive reappraisal-moderate expressive suppression subgroup (low-moderate subgroup, 9.6%), and the high cognitive reappraisal low expressive suppression subgroup (high-low subgroup, 26.1%). Hierarchical regression results indicated that both parental psychological control ( β =0.70) and deficits in cognitive reappraisal (low moderate subgroup, β =5.38) were associated with an increased risk of depressive symptoms, whereas the high-low subgroup appeared to mitigate depressive symptom ( β =-3.47) (all P < 0.01). Compared to the moderate-moderate subgroup, the low-moderate subgroup showed a statistically significant positive moderating effect on the relationship between parental psychological control and depressive symptom ( β =0.14, P <0.05), while the negative moderating effect of the high-low subgroup was not statistically significant ( β =-0.07, P >0.05). Conclusions The negative impact of parental psychological control on depressive symptom in junior high school students varies depending on the use of different emotion regulation strategies. For a majority of students, enhancing cognitive reappraisal training may help alleviate the adverse effects of parental psychological control and promote better mental health.

Medical visual question answering (MVQA) plays a crucial role in the fields of computer-aided diagnosis and telemedicine. Due to the limited size and uneven annotation quality of the MVQA datasets, most existing methods rely on additional datasets for pre-training and use discriminant formulas to predict answers from a predefined set of labels. This approach makes the model prone to overfitting in low resource domains. To cope with the above problems, we propose an image-aware generative MVQA method based on image caption prompts. Firstly, we combine a dual visual feature extractor with a progressive bilinear attention interaction module to extract multi-level image features. Secondly, we propose an image caption prompt method to guide the model to better understand the image information. Finally, the image-aware generative model is used to generate answers. Experimental results show that our proposed method outperforms existing models on the MVQA task, realizing efficient visual feature extraction, as well as flexible and accurate answer outputs with small computational costs in low-resource domains. It is of great significance for achieving personalized precision medicine, reducing medical burden, and improving medical diagnosis efficiency.
Humans ; Image Processing, Computer-Assisted/methods* ; Diagnosis, Computer-Assisted/methods* ; Algorithms ; Telemedicine

Dental developmental abnormalities and dental development-related diagnosis and treatment represents a critical and challenging area of clinical practice. This process spans multiple stages, from diagnosis to the creation of treatment plans, requiring substantial theoretical knowledge and rich clinical experience. In recent years, the development of artificial intelligence (AI), particularly deep learning technologies exemplified by convolutional neural networks, has been facilitated by the abundance of dental clinical image resources. Advancements in AI have provided substantial support for the diagnosis and treatment of oral diseases, significantly enhancing clinical efficiency. Deep learning has numerous applications in developmental abnormalities and dental development-related diagnosis and treatment. First, deep learning can assist in the identification of developmental abnormalities in radiographs and intraoral images, helping dentists make accurate diagnoses. Second, this technology can be used to assess dental development and predict tooth eruption, providing valuable reference for the formulation of personalized treatment plans. Furthermore, deep learning can identify root and root canal morphology, as well as locate challenging root canals, thereby enhancing the dentists' understanding of root canal anatomy and improving the success rate of endodontic treatments. Despite its significant potential in these areas, research in this field remains in the early stage. There are several limitations in the literature, including the inability to implement systematic disease diagnosis and treatment and a lack of multi-center studies. Future research should aim to design multi-center studies and develop deep learning models that integrate disease diagnosis, developmental assessment, and other factors, conducting a comprehensive analysis of multiple variables to further enhance the practical value of these models.

ObjectiveTo analyze the changing trend of the disease burden of acute viral hepatitis （AVH） globally and in China from 1990 to 2021， and to provide a basis for optimizing prevention and control strategies. MethodsRelated data were extracted from the Global Burden of Disease 2021 database， including incidence rate， mortality rate， and disability-adjusted life years （DALY） for AVH globally and in China from 1990 to 2021， and the patients were divided into groups according to region， age， sex， and type of hepatitis. The Joinpoint regression model was used to calculate average annual percentage change （AAPC） and its 95% confidence interval （CI）. ResultsFrom 1990 to 2021， there was a tendency of reduction in the age-standardized incidence rate， mortality rate， and DALY rate of AVH globally， with an average annual reduction of 1.02% （95%CI： -1.10% to -0.94%， P<0.001）， 3.97% （95%CI： -4.12% to -3.82%， P<0.001）， and 3.64% （95%CI： -3.84% to -3.44%， P<0.001）， respectively； in China， there was also a tendency of reduction in these indicators， with an average annual reduction of 1.63% （95%CI： -1.70% to -1.57%， P<0.001）， 9.24% （95%CI： -9.51% to -8.97%， P<0.001）， and 7.93% （95%CI： -8.15% to -7.71%， P<0.001）， respectively. In addition， China’s share of the global disease burden of AVH continued to decrease； the proportion of new cases decreased from 24% in 1990 to 15% in 2021， the proportion of deaths decreased from 19% to 4%， and the proportion of DALY decreased from 16% to 4%. From 1990 to 2021 globally， the peaks in the incidence rate， mortality， and DALY of AVH were observed in children under 5 years of age； in China， although the peak incidence rate of the disease was still observed in children under 5 years of age， there was a tendency of increase in the incidence rate of AVH among young adults aged 25 — 29 years in recent years， with the most significant increase in the cases of acute hepatitis B （accounting for 59% of the cases in this age group）， while the disease burden of mortality and DALY mainly affected the middle-aged and elderly populations. The disease burden of AVH in the male population was higher than that in the female population. As for the distribution of disease types， acute hepatitis A was the predominant type of AVH， accounting for 64% globally and 48% in China， whereas acute hepatitis B was the leading cause of mortality and DALY， accounting for 50% of deaths globally， 80% of deaths in China， 47% of DALY globally， and 69% of DALY in China. ConclusionThere is a tendency of reduction in the disease burden of AVH globally and in China from 1990 to 2021， but there is a tendency of increase in the incidence rate of AVH among young adults in China， especially acute hepatitis B. It is necessary to implement targeted prevention and control strategies.

BACKGROUND: In China, lung cancer remains the cancer with the highest incidence and mortality rate. Among early-stage lung adenocarcinomas (LUAD), the micropapillary (MPP) component is prevalent and typically exhibits high aggressiveness, significantly correlating with early metastasis, lymphatic infiltration, and reduced five-year survival rates. Therefore, the study is to explore the similarities and differences between MPP and non-micropapillary (non-MPP) components in malignant pulmonary nodules characterized by GGOs in early-stage LUAD, identify unique mutational features of the MPP component and analyze the relationship between the ZNF469 gene, a member of the zinc-finger protein family, and the prognosis of early-stage LUAD, as well as its correlation with immune infiltration. METHODS: A total of 31 malignant pulmonary nodules of LUAD were collected and dissected into paired MPP and non-MPP components using microdissection. Whole-exome sequencing (WES) was performed on the components of early-stage malignant pulmonary nodules. Mutational signatures analysis was conducted using R packages such as maftools, Nonnegative Matrix Factorization (NMF), and Sigminer to unveil the genomic mutational characteristics unique to MPP components in invasive LUAD compared to other tumor tissues. Furthermore, we explored the expression of the ZNF469 gene in LUAD using The Cancer Genome Atlas (TCGA) database to investigate its potential association with the prognosis. We also investigated gene interaction networks and signaling pathways related to ZNF469 in LUAD using the GeneMANIA database and conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Lastly, we analyzed the correlation between ZNF469 gene expression and levels of immune cell infiltration in LUAD using the TIMER and TISIDB databases. RESULTS: MPP components exhibited a higher number of genomic variations, particularly the 13th COSMIC (Catalogue of Somatic Mutations in Cancer) mutational signature characterized by the activity of the cytidine deaminase APOBEC family, which was unique to MPP components compared to non-MPP components in tumor tissues. This suggests the potential involvement of APOBEC in the progression of MPP components in early-stage LUAD. Additionally, MPP samples with high similarity to APOBEC signature displayed a higher tumor mutational burden (TMB), indicating that these patients may be more likely to benefit from immunotherapy. The expression of ZNF469 was significantly upregulated in LUAD compared to normal tissue, and was associated with poor prognosis in LUAD patients (P<0.05). Gene interaction network analysis and GO/KEGG enrichment analysis revealed that COL6A1, COL1A1, COL1A2, TGFB2, MMP2, COL8A2 and C2CD4C interacted with ZNF469 and were mainly involved in encoding collagen proteins and participating in the constitution of extracellular matrix. ZNF469 expression was positively correlated with immune cell infiltration in LUAD (P<0.05). CONCLUSIONS The study has unveiled distinctive mutational signatures in the MPP components of early-stage invasive LUAD in the Asian population. Furthermore, we have identified that the elevated expression of mutated ZNF469 impacts the prognosis and immune infiltration in LUAD, suggesting its potential as a diagnostic and prognostic biomarker in LUAD.
Humans ; Lung Neoplasms/genetics* ; Adenocarcinoma of Lung/genetics* ; China ; Prognosis ; Transcription Factors

BACKGROUND:Adjustable piezoelectric effect can promote tissue regeneration and repair.Piezoelectric materials are widely used in weight-bearing tissue engineering. OBJECTIVE:To prepare a piezoelectric film material that can promote bone regeneration,and to explore its structural characterization,electrical output performance,biocompatibility,and effect of electrical output on osteogenic differentiation of rabbit bone marrow mesenchymal stem cells. METHODS:Using poly-3-hydroxybutyrateco/4-hydroxybutyrate(P34HB)as raw material,barium calcium stannate titanate powder(Ba0.94Ca0.06Sn0.08Ti0.92O3,BCST)was added according to mass ratios of 0%,5%,10%,15%,and 20%.Dichloromethane was added to solve P34HB,and the thickness of 150-200 μm BCST/P34HB piezoelectric film was prepared by vacuum drying method.After polarization in the oil bath,the surface morphology,crystal phase composition,piezoelectric coefficient and open circuit voltage were tested.The effect of BCST/P34HB electrical output at 110 Hz and 0.25 N force on the proliferation and osteogenic differentiation of rabbit bone marrow mesenchymal stem cells was tested. RESULTS AND CONCLUSION:(1)Scanning electron microscopy,X-ray diffraction,water contact angle,piezoelectric coefficient and electrical output performance tests showed that when the mass ratio of BCST increased to 20%,the BCST/P34HB piezoelectric film had good piezoelectric properties(d33=5.9 pC/N)and electrical output performance(180 mV),which was closer to the suitable range of 500 mV for electrical stimulation.(2)Live and dead staining showed that on the first day of co-culture,15%group and 20%group showed less red fluorescence.On the 5th day of culture,the number of green fluorescence in each group was significantly higher than that on the first day,and the red fluorescence was not observed in the 10%,15%and 20%groups,and only a small amount of red fluorescence was observed in the 0%and 5%groups.(3)On the 1st,3rd and 5th days of co-culture with rabbit bone marrow mesenchymal stem cells,Almar blue staining exhibited that the number of cells in each group showed an increasing trend with the increase of time.On the 5th day of culture,the number of cells in the 20%group was significantly more than that in the 0%group(P<0.05).(4)On day 10 of osteogenic induction,alkaline phosphatase staining results showed that the positive rate of the 20%group was significantly higher than that of the 0%group(P=0.000 1).On day 21,alizarin red staining and quantitative analysis of calcium nodules showed a similar trend to alkaline phosphatase staining.Compared with the 0%group,the 15%group and 20%group showed significant differences(P<0.01,P<0.000 1).(5)The results showed that 20%BCST/P34HB films had good piezoelectric properties,electrical output properties,biocompatibility and the ability of promoting osteogenic differentiation of bone marrow mesenchymal stem cells.