AIM: To analysis the correlation between extraocular muscle thickness measured by quantitative CT analysis of orbital structures and clinical activity score(CAS)of thyroid-associated ophthalmopathy(TAO).METHODS:This was a retrospective analysis, selecting clinical data of TAO patients admitted to the hospital from October 2020 to February 2025. Healthy individuals were chosen from hospital's physical examination as the control group. All participants underwent CT examination, the superior rectus muscle, inferior rectus muscle, medial rectus muscle, lateral rectus muscle, orbital area, protrusion degree, and total cross-sectional area of extraocular muscles/total orbital area ratio(OM/TOA)from the two groups of participants were compared. CAS was used to evaluate TAO patients, and the correlation between CAS score and quantitative analysis indicators of CT orbital structure was analyzed. Quantitative analysis indicators for CT orbital structure in TAO patients at different stages of activity were compared, and the predictive value of these indicators for TAO patients at different activity stages was investigated.RESULTS:A total of 77 TAO patients were enrolled in this study, including 38 males and 39 females, with ages ranging from 28 to 70 y(mean age 49.5±6.9 y). There were 77 cases in the control group, including 40 males and 37 females, with ages ranging from 26 to 70 y(mean age 49.0±7.3 y). There was no significant difference in gender and age between the two groups(both P>0.05). The quantitative analysis of left eye, right eye, and binocular CT orbital structure in TAO group patients showed significantly higher indicators than the control group(all P<0.001), and the CAS score of TAO group was 3.94±1.51 points. The CAS score was positively correlated with various indicators of CT orbital structure quantitative analysis(all P<0.05). According to the CAS score results, 14 cases(28 eyes)of TAO patients with a CAS score<3 were classified as inactive phase, including 8 males and 6 females, with an average age of 43.79±9.58 y. A total of 63 cases(126 eyes)with a CAS score of ≥3 was classified as active phase, including 30 males and 33 females, with an average age of 50.78±5.47 y. There was no significant difference in gender among TAO patients with different active phases(P=0.519), but there was a significant difference in age(P<0.001). The quantitative indicators of CT orbital structure in inactive patients were significantly lower than those in active patients(P<0.05). Finally, the superior rectus muscle, age, and degree of protrusion were selected to be included in the Logistic regression model. The analysis results showed that there was a correlation between the superior rectus muscle index, degree of protrusion and TAO activity phase(P<0.05), while age, and TAO activity phase showed no significant correlation(P>0.05). The ROC curve analysis results showed that the area under the curve(AUC)was 0.863, the standard error was 0.063, P<0.001, and the 95% confidence interval(95% CI)of AUC was 0.740-0.985. The sensitivity of the model prediction was 73.0%, the specificity was 92.9%, and the Youden index was 0.659. The prediction accuracy was 97.9%, the recall rate was 73.0%, and the F1 value was 0.836. The predicted optimal critical value was 0.857. The predicted probability was 0.74.CONCLUSION:Quantitative CT analysis of orbital structures can be used to assess disease severity in TAO patients.

Objective: To address the challenges of systematically identifying herb pairs in traditional Chinese medicine (TCM), we proposed HerbGL, a framework for predicting potential herb pairs that integrates network propagation and graph regularization. Methods: Based on the assumption that herbal actions induce subtle perturbations in biological systems, a framework named HerbGL was proposed. Random walk with restart (RWR) was first applied to the protein-protein interaction (PPI) network to reconstruct herb-specific perturbation effects and generate weighted subnetworks. Then, to quantify affinity between herb pairs, two network-proximity metrics, Closeness and PageRank, were computed from the weighted subnetworks to construct herb-pair affinity matrices. Finally, these matrices, together with known herb pairs (derived from co-occurrence analysis of TCM formulas with a threshold determined from the inflection point of the frequency distribution), were incorporated into a graph regularization model to predict potential herb pairs. Model performance was assessed through baseline comparison, ablation and robustness experiment under different ratios of positive and negative samples, using the area under the receiver operating characteristic curve (AUROC), the area under the precision-recall curve (AUPRC), accuracy, and precision as evaluation metrics. Furthermore, the predicted herb pairs were validated through both literature evidence and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Results: The weighted subnetworks constructed by RWR provided a refined simulation of herb-specific perturbation effects, which formed the basis for subsequent affinity modeling and prediction. Analysis of herb pair co-occurrence frequencies revealed a marked change around 150, which was selected as the threshold to distinguish herb pairs from non-herb pairs. HerbGL exhibited superior predictive performance compared with baseline models (AUROC = 0.970 5, AUPRC = 0.955 5, accuracy = 0.726 6, precision = 0.970 6). Ablation results showed that removing the Closeness and PageRank metrics substantially degraded performance (AUROC = 0.819 1, AUPRC = 0.876 8), confirming their necessity. Robustness evaluation under an imbalanced positive-to-negative sample ratio of 1 : 5 yielded AUROC = 0.969 6 and AUPRC = 0.840 4, indicating stable predictive ability. Moreover, multiple case studies further validated the rationality of the predicted herb pairs, such as Fangfeng (Saposhnikoviae Radix) and Qingpi (Citri Reticulatae Pericarpium Viride) which are recorded in Liangpeng Huiji (《良朋汇集》, Collection of Excellent Recipes) Vol. 3: Fangfeng Shengma Tang (防风升麻汤). Additionally, pathway enrichment analysis of the Renshen (Ginseng Radix et Rhizoma) and Lianqiao (Forsythiae Fructus) pair further supported the biological plausibility of their compatibility. Conclusion HerbGL offers an effective and biologically informed framework for identifying herb pairs in TCM. Beyond improving herb pair prediction, the framework also provides data support for research on herb compounds and mechanisms, thereby supporting data-driven exploration of TCM compatibility.

ObjectiveTo explore the feasibility of constructing a programmed death receptor-1（PD-1） molecular probe for non-invasive micro-positron emission tomography/computed tomography （Micro-PET/CT） imaging of PD-1 protein in mouse S180 sarcoma. MethodsA transgenic PD-1 C57 S180 sarcoma mouse model was established using the S180 sarcoma cell injection. Furthermore， ¹²⁴I-anti-PD-1 monoclonal antibody probe was synthesized. 18.5 MBq of the ¹²⁴I-anti-PD-1 probe was injected into the tail vein of transgenic PD-1 C57 mice. Subsequently， S180 sarcoma was imaged using Micro-PET/CT. ResultsStudy successfully established a transgenic PD-1 C57 S180 sarcoma mouse model. Immunohistochemical （IHC） results showed PD-1 protein expression in S180 sarcoma. Micro-PET/CT imaging successfully visualized the PD-1 protein receptor in S180 sarcoma at different time points （20， 48， 72， and 120 h） after probe injection. ConclusionThe ¹²⁴I-anti-PD-1 monoclonal antibody molecular probe successfully targets the PD-1 receptor in S180 sarcoma of transgenic PD-1 C57 mice， and presents clear Micro-PET/CT immunoassay results， thus it potentially enables the non-invasive screening of patients with PD-1 positive malignant tumors.

ObjectiveTo study the therapeutic mechanism of Xihuang Wan for hyperplasia of mammary glands based on network pharmacology， molecular docking， and cell experiments. MethodsThe active ingredients and targets of Xihuang Wan were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and A Bioinformatics Annotation daTabase for Molecular mechANism of Traditional Chinese Medicine （BATMAN-TCM） and supplemented by searching against PubChem and Swiss Target Prediction. The targets of differential metabolites in tissues and urine were obtained from previous metabolomics studies through PubChem and Swiss Target Prediction. GeneCards， Online Mendelian Inheritance in Man （OMIM）， PharmGKB， Therapeutic Target Database （TTD）， Drunbank were searched for the targets of hyperplasia of mammary glands. After the common targets were obtained via Veeny2.1.0， the STRING database was used to analyze the protein-protein interactions， and Cytoscape was used for the core target analysis and visualization. Gene Ontology （GO） and the Kyoto Encyclopedia of Genes and Genomes （KEGG） were employed for enrichment analysis. Molecular docking was carried out in Autodock， and cell experiments were conducted to verify the prediction results. In the cell experiments， estradiol and progesterone （E₂+P） were used to intervene in human mammary epithelial/MCF-10A cells， and thus the MCF-10A cell proliferation model was established. The cells were then treated with Xihuang Wan-medicated serum. The cell counting kit-8 （CCK-8） was used to measure the cell proliferation， and flow cytometry was used to detect apoptosis. The mRNA and protein levels of key factors in MCF-10A cells were determined by real-time PCR and Western blot， respectively. ResultsThe results of network pharmacology showed that 90 active ingredients and 316 common targets were obtained， from which 20 core targets and 38 corresponding active ingredients were screened out. The results of GO and KEGG enrichment analyses showed that Xihuang Wan exerted effect against hyperplasia of mammary glands by regulating a variety of biological processes， which may be related to protein kinase B （Akt）-related molecular functions， estrogen signaling pathway， prolactin signaling pathway and other biological processes. The results of molecular docking showed that estrogen receptor 1 （ESR1）， serine/threonine kinase 1 （Akt1）， non-receptor tyrosine kinase （SRC）， and signal transducer and activator of transcription 3 （STAT3） all had strong binding activity with the nine active ingredients， suggesting that Xihuang Wan exert the effect through the ESR1/SRC/phosphatidylinositol 3-kinase （PI3K）/Akt signaling pathway and the Janus kinase （JAK）/STAT3 signaling pathway. The results of cell experiments showed that E₂+P intervention in MCF-10A cells promoted the proliferation of MCF-10A cells （P<0.05）， while the Xihuang Wan-medicated serum inhibited the proliferation of MCF-10A cells exposed to E₂+P （P<0.05）. Flow cytometry showed that the Xihuang Wan-medicated serum promoted the apoptosis of MCF-10A cells exposed to E₂+P （P<0.01）. The results of Real-time PCR showed that the Xihuang Wan-medicated serum down-regulated the mRNA levels of PI3K， Akt， JAK2， and STAT3 in MCF-10A cells treated with E₂+P （P<0.01）. The results of Western blot showed that the Xihuang Wan-medicated serum inhibited the expression of p-PI3K/PI3K， p-Akt/Akt， p-JAK2/JAK2， and p-STAT3/STAT3 in MCF-10A cells treated with E₂+P （P<0.05）. ConclusionXihuang Wan may exert the effect against hyperplasia of mammary glands by inhibiting the proliferation and promoting the apoptosis of MCF-10A cells， which may related to the inhibition of the activation of PI3K/Akt and JAK2/STAT3 signaling pathways.

Objective To investigate the incidence trend of infectious diseases among kindergarten children in Yangpu District, Shanghai, and to provide scientific reference for prevention and control strategies of infectious diseases among key populations. Methods Descriptive epidemiology method and Joinpoint regression analysis model were used to analyze the surveillance data of infectious diseases among kindergarten children. Results The average annual reported incidence of infectious diseases among kindergarten children in Yangpu District was 3,344.08/100,000, showing a downward trend (AAPC=-5.51, 95%CI: -13.02~2.63). Intestinal (65.49%) and respiratory (34.48%) infectious diseases were the main cases. There were 7,378 cases of hand, foot and mouth disease (62.95%), 1,885 cases of influenza (16.08%), 1,378 cases of varicella (11.76%), and 392 cases of mumps (3.34%), accounting for 94.14% of all reported cases. Hand, foot and mouth disease (AAPC=-17.68%, 95%CI: -27.52~-6.51), mumps (AAPC=-9.33, 95%CI: -14.86~-3.45) and varicella (AAPC=-7.32, 95%CI: -17.35~3.93) showed an overall decreasing trend, while influenza (AAPC=32.19, 95%CI: 12.49-55.34) was on the rise. The incidence of the disease showed double peak distribution, and the high incidence months were from May to July and from September to December. The male to female ratio was 1.39:1. Conclusion The incidence of infectious diseases among kindergarten children in Yangpu District shows a downward trend. It is necessary to continue to increase the coverage rate of Enterovirus 71(EV71), influenza, chickenpox and MMR combined live attenuated vaccine, strengthen monitoring and early warning, actively carry out health guidance, and effectively control the occurrence of common infectious diseases in kindergarten children.

To thoroughly implement the strategic deployment outlined in the Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovative Development of Traditional Chinese Medicine regarding research on dominant diseases of traditional Chinese medicine and to uphold the development philosophy of equal emphasis on traditional Chinese medicine and western medicine，the China Association of Chinese Medicine has fully played a leading academic role by systematically organizing and conducting a series of academic youth salons on clinical dominant diseases of traditional Chinese medicine. On September 13，2024，the 36^th Youth Salon on Clinical Dominant Diseases was successfully held in Nanjing，focusing on the advantages of traditional Chinese medicine and the integrative traditional Chinese medicine and western medicine in the diagnosis and treatment of erectile dysfunction （ED）. The conference brought together leading experts from traditional Chinese medicine，western medicine，and interdisciplinary fields，facilitating in-depth multidisciplinary discussions that led to key consensus on optimizing traditional Chinese medicine treatment protocols for ED，researching and developing new drugs of traditional Chinese medicine，and advancing interdisciplinary development in traditional Chinese medicine. This salon systematically sorted out the clinical strengths and distinctive features of traditional Chinese medicine in the diagnosis and treatment of ED. Based on current research foundations and clinical needs，it identified key directions for future scientific layout and scientific research tackling： （1） Standardization of syndrome differentiation system of traditional Chinese medicine for ED. （2） Optimization and standardization of intervention methods of integrated traditional Chinese medicine and western medicine. （3） High-quality clinical research guided by evidence-based medicine. （4） In-depth analysis of the pharmacological mechanisms of traditional Chinese medicine in the treatment of ED. （5） Clinical translation and application promotion of new drugs of traditional Chinese medicine. （6） Interdisciplinary integration and innovation in traditional Chinese medicine. For each research direction，key focus areas，expected objectives，and clinical value were further refined，along with the establishment of a scientifically sound priority funding level evaluation system. Therefore，building on the series of salons on the ED-focused dominant diseases of traditional Chinese medicine，this paper provides standardized guidance for clinical practice of traditional Chinese medicine in ED management，effectively contributing to the high-quality development of traditional Chinese medicine. It serves as a valuable reference for national scientific and technological strategic layout， research and development decision-making in new drugs of traditional Chinese medicine，research topic planning，and clinical guideline formulation.

Objective: To determine the association between exposure to entertainment screen content on mobile phones and symptoms of anxiety-depression co-morbidity among college students,so as to provide evidence for mental health interventions. Methods: A baseline survey was conducted from April to May 2019. A total of 1 135 college students were selected from one university each in Shangrao City, Jiangxi Province and Hefei City, Anhui Province using cluster random sampling method. A follow up study was conducted in November 2019, resulting in 1 110 matched valid responses. Self rating questionnaires were used to assess the exposure of entertainment screen content. The Depression Anxiety Stress Scale-21(DASS-21) and the Patient Health Questionnaire-9 (PHQ-9) were used to evaluate the anxiety symptoms, depressive symptoms, and symptoms of anxiety-depression co-morbidity among college students. A multivariate binary Logistic regression model was constructed following initial intergroup comparisons with Chi-square test to determine the association between baseline exposure to mobile entertainment screen content and the risk of symptoms of anxiety depression co-morbidity at baseline and the 6 month follow up. Results: The prevalence rates of symptoms of anxiety-depression co-morbidity among college students were 25.4% and 20.6% at baseline and follow up, respectively.After adjusting for confounding factors such as gender, self rated family economic status and self rated health status, the results of multivariate binary Logistic regression analysis showed that compared with the appropriate exposure level group, the exposure of entertainment screen content on mobile phones at baseline, including frequent exposure to reading( OR =1.65,95% CI =1.14-2.39), occasional exposure to other entertainment screen content ( OR =1.46,95% CI =1.01-2.10)and frequent exposure to other entertainment screen content( OR =1.76,95% CI =1.20-2.60), increased the co-occurrence risk of symptoms of anxiety-depression co-morbidity among college students during the follow up period (all P <0.05). Conclusion Occasional or frequert exposure to mobile entertainment screen content can increase the risk of symptoms of anxiety depression co-morbidity among college students.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

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.