OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

Amyotrophic lateral sclerosis (ALS) is a chronic, progressive degenerative disease affecting both upper and lower motor neurons, primarily characterized by skeletal muscle weakness and atrophy. Notably, the same muscle group may exhibit asynchronous involvement. This study aims to investigate the involvement patterns of the orbicularis oculi (OOc) and orbicularis oris (OOr) in ALS patients, compare the findings with healthy controls (HCs) and myasthenia gravis (MG) patients, and explore the characteristics and clinical significance of facial muscle involvement in ALS.

ObjectiveTo summarize the incidence and clinical features of drug hypersensitivity reactions in children treated with sustained-releasing gonadotropin-releasing hormone agonists （GnRHa）， aiming to provide guidance for the safe clinical application of GnRHa in children. MethodsThe medical data of children diagnosed with central precocious puberty （CPP） or early and fast puberty （EFP） were retrospectively analyzed， who received GnRHa treatment at the Children's Growth Center of the First Affiliated Hospital of Sun Yat-sen University between January 1990 and July 2023. The occurrence of GnRHa-related drug hypersensitivity reactions were summarized， including the incidence and clinical features of systemic reactions and sterile abscesses. ResultsAmong the 1 684 children treated with GnRHa for CPP/EFP， the female-to-male ratio was 3.8∶1. A total of nine children （0.53%） developed 44 occurrences of drug hypersensitivity reactions. Four children （0.24%） presented with sterile abscesses （21 occurrences）， and five children （0.30%） experienced systemic hypersensitivity reactions （14 occurrences）. Four children were hypersensitive to triptorelin acetate， three were hypersensitive to leuprorelin acetate， and two were hypersensitive to both triptorelin acetate and leuprorelin acetate. The predominant hypersensitivity reactions to leuprorelin acetate were sterile abscesses， observed in four cases （4/277， 1.44%）， whereas the main reactions to triptorelin acetate were systemic hypersensitivity reactions， affecting five cases （5/1 501， 0.33%）. Case one presented with a severe and complex condition， exhibiting hypersensitivity to multiple GnRHa preparations （sustained-releasing triptorelin， sustained-releasing leuprorelin， and short-acting triptorelin）， and presenting with diverse manifestations， including induration， sterile abscesses， systemic hypersensitivity reactions， and even loss of suppression of the hypothalamic-pituitary-gonadal axis， leading to treatment failure. ConclusionsThe proportion of children experiencing drug hypersensitivity reactions to sustained-releasing GnRHa is relatively low at 0.53%， with diverse manifestations. The reactions primarily manifest as sterile abscesses and systemic hypersensitivity reactions， and in severe cases， may lead to treatment failure due to loss of suppression of the hypothalamic-pituitary-gonadal axis.

To address the challenges of fragmented data, inconsistent standards, and delayed feedback in the full-cycle competency development process at teaching hospitals, this paper proposes the LEADS data governance system for Precision Medical Education (LEADS-PME), drawing on the practical experience of building the integrated medical education management platform at Zhongshan Hospital, Fudan University. The LEADS-PME framework comprises five interconnected core components: Longitudinal foundation, Evidence-chain generation, Analytics and profiling, Decision-support and prediction, and Simulation and digital-twin governance. Currently, Zhongshan Hospital has established a full-cycle educational data infrastructure and achieved multi-system data integration and competency-based profiling and evaluation, while the prediction and simulation modules are still in the prototype exploration phase. A mixed-methods evaluation will be subsequently conducted from the perspectives of data quality, management effectiveness, and predictive intervention. As a locally adapted framework, LEADS-PME can transform operational data derived from clinical practice, teaching, assessment, and management processes into traceable, interpretable, and reusable evidence of competency development. It is expected to facilitate the transformation of medical education management from a outcome-oriented approach to process monitoring, evidence-driven decision-making, and precision governance, thereby providing both a theoretical framework and practical reference for precision medical education in Chinese teaching hospitals.

Objective: To examine the association between health behaviors and depressive symptoms among junior and senior high school students, so as to provide evidence for combined behavioral interventions targeting adolescent mental health. Methods: From September to November 2023, a stratified cluster random sampling method was used to recruit 104 834 junior and senior high school students from all 13 prefecture level cities (124 districts/counties) in Heilongjiang Province, China. Multivariable Logistic regression models, as well as multiplicative and additive interaction analyses were employed to analyze the associations between health behaviors and depressive symptoms, and Chi-square tests for trend were conducted to explore ,the changing tendency in the risk of depressive symptoms with increasing numbers of health behaviors among junior and senior high school students. Results: Healthy diet ( OR =0.66, 95% CI =0.63-0.68), healthy physical activity ( OR =0.47, 95% CI =0.45-0.49), healthy outdoor activity ( OR =0.55, 95% CI =0.52-0.57), healthy sleep ( OR =0.72, 95% CI =0.69-0.75), and healthy screen use ( OR =0.79, 95% CI =0.76-0.82) were independently associated with lower rates of depressive symptoms (all P <0.01). The risk of depressive symptoms decreased progressively with an increasing cumulative number of health behaviors ( χ 2 trend =996.73, P <0.01). Except for the interaction between healthy diet and healthy sleep, significant additive interactions were observed among the remaining health behaviors( RERI =0.07-0.23,all P <0.05). The probability of depressive symptoms was lower among girls with 2-3 healthy behaviors than among boys ( Z =2.51, 2.65), lower among urban students with 2-3 healthy behaviors than among suburban county students ( Z =-2.36, -2.04), and lower among senior high school students with 2-4 healthy behaviors than among junior high school students ( Z =2.17, 2.10, 2.04) (all P <0.05). Conclusions Health behaviors are significantly associated with depressive symptoms among junior and senior high school students. The probability of depressive symptoms is lower among girls, urban students, and senior high school students who engage in multiple healthy behaviors. Implementing combined interventions targeting multiple health behaviors in these populations may yield greater benefits.

Objective: To explore the completion status and related factors of preventive anti tuberculosis therapy among close contacts of pulmonary tuberculosis cases in schools across Guizhou Province, so as to provide scientific evidence for optimizing preventive treatment strategies and raising the treatment completion rate among student close contacts. Methods: Demographic, epidemiological and preventive treatment related data were extracted from the Guizhou Disease Prevention and Control Cloud Platform-School Tuberculosis Management System. Totally 3 044 student subjects with latent tuberculosis infection (LTBI) who received the 3HR regimen and had final treatment outcomes between January 1, 2023 and December 31, 2025 were enrolled in the study. The χ 2 test, Mann Whitney U- test and binary Logistic regression model were adopted to analyze factors associated with the completion of preventive treatment among the student LTBI population. Results: The overall completion rate of preventive treatment was 74.24%. The prevention treatment completion rate declined with prolonged medication duration( χ 2 trend =252.09, P <0.01). Binary Logistic regression analysis indicated that students from private schools had higher odds of incomplete treatment compared with those from public schools ( OR =1.32, P <0.05). Compared with college students, students in primary school and below, junior high school, senior high school, secondary vocational school exhibited lower odds of incomplete treatment ( OR =0.35, 0.31, 0.59, 0.17,all P <0.05). Compared with contacts exposed in dormitories, classroom exposed and same floor or others exposed contacts showed higher odds of incomplete treatment ( OR =4.28, 8.59, both P <0.05). Participants with an interval exceeding 2 weeks from screening to treatment initiation were more likely to complete preventive treatment ( OR =0.80, P <0.05). Conclusions The overall completion rate of preventive treatment remains unsatisfactory among students with LTBI in Guizhou Province. Multiple interventions are recommended to improve treatment adherence and completion rates in the population, including implementing diversified medication supervision measures, strengthening public health management and supervision for private schools, establishing efficient referral and management mechanisms to enhance students treatment completion.

Abstract The accelerating population aging and the rejuvenation trend of chronic diseases in China have continuously aggravated the chronic disease burden, making chronic disease prevention and control increasingly essential. General practitioners are the core workforce for chronic disease prevention and control, and their training quality directly determines the performance of grassroots healthcare services. Digital intelligence, built on digital infrastructure, enables standardized data collection, analysis, and product transformation adapted to clinical scenarios. Leveraging artificial intelligence, big data, and machine learning, it mines high-value clinical and public health key information to support evidence-based medical decision-making and optimize the diagnosis, treatment, and management processes for chronic diseases. On the basis of the characteristics of chronic disease prevention and control talents in grassroots healthcare institutions and the background of digital intelligence development in the new era, this study systematically retrieves and reviews domestic and foreign research on the profile, training paths and digital intelligence-enabled teaching progress of grassroots medical talents engaged in chronic disease prevention and control. Focusing on the core challenges existing in current teaching and training for such talents, and combining practical experience in grassroots medical education, this study proposes a digital intelligence empowerment-oriented strategy to effectively align the supply of training resources with the actual demands of grassroots settings, so as to construct a context-adapted systematic training mechanism and optimized development path for chronic disease prevention and control talents in grassroots healthcare institutions.

AIM: To provide references for the non-clinical evaluation of therapeutic targets or drugs for retinoblastoma, fluorescently labeled Y79 cells are injected into the vitreous body of BALB/c-nu mice to establish a retinoblastoma model, and the Melphalan treatment group is used as a positive control, which is verified by fluorescence imaging technology.METHODS: BALB/c-nu mice were intravitreous injected with GFP transfected Y79 cells(1.0×107 cell/mL, 3 μL)to establish the model. On the 27th day, the mice were randomly divided into model control group and different doses of Melphalan groups(1, 3, 10 μg/eye groups)according to the fluorescence value of in vivo imaging, with vitreous body single administrated and ocular symptoms observed daily. Slit-lamp examination was performed at 12, 20, 29, 35, 42, 48, 55, 76, and 83 d after modeling. In vivo imaging was performed on 12, 20, 27, 41, 48, 55, 62, 69, 76, and 83 d. At the last treatment, the eyeball, brain and cerebellum tissues were removed for histopathological examination.RESULTS: From the sixth day of modeling, cloud-like substances could be seen in the eyes of the animals, and the cloud-like substances occupied the whole eyeball of the mice in the model control group at the later stage, accompanied by irregular growth of blood vessels. After 27 days of modeling, the fluorescence value was detected in all the animals, and the fluorescence value continued to increase with the extension of modeling time. The fluorescence value of the tumor reached the peak after 69-83 days of modeling. Histological examination showed severe proliferation of intraocular tumor cells in the model control group, and tumor cells were observed in the brain of 1 model animal. In the 10 μg/eye Melphalan group, the fluorescence value was significantly decreased at 17 d after administration. The fluorescence value of the 3 μg/eye Melphalan group was significantly inhibited at 59 d after administration. No tumor cells were found in the brain tissue of animals in all Melphalan groups.CONCLUSION: After vitreous injection of Y79/pCDH-LUC-copGFP cells in BALB/c-nu mice, significant ocular lesions and proliferation of tumor cells were observed in the eyes. Meanwhile, Melphalan intervention significantly inhibited tumor cells in a dose-dependent manner, indicating that the mouse model of retinoblastoma was successfully constructed.

Objective: To explore the associations between caregivers nutrition literacy and pediatric nonalcoholic fatty liver disease (NAFLD), so as to provide scientific evidence for the key contents of family intervention measures. Methods: In September 2022, a study involving 1 609 thirdgrade students and their caregivers from six schools in Yinzhou, Haishu, and Zhenhai Districts of Ningbo City, Zhejiang Province, was conducted. Venous blood samples were collected to measure lipid profiles and investigate the prevalence of nonalcoholic fatty liver disease (NAFLD) among the children. Family Food Environment Questionnaire was used to assess the nutrition literacy levels of the caregivers. Generalized linear regression analysis was employed to explore the correlation between caregivers nutrition literacy levels and the prevalence of NAFLD in children. Results: Among the surveyed students, 191 were in the NAFLD group, whereas 1 418 were in the nonNAFLD group. The median nutrition literacy score of caregivers in the NAFLD group and nonNAFLD group all were 11.00 (9.00,12.00), which was not significantly different (Z=-0.40, P=0.71). The generalized linear regression results revealed that the level of nutrition literacy of caregivers had no significant effect on childrens Triglyceride-glucose (TyG) index and Triglyceride-glucose-Waisttoheight ratio (TyG-WHtR) [β(95%CI) were 0.001(-0.005-0.006) and 0.000(-0.014-0.014), P>0.05]. Conclusions The nutrition literacy level of caregivers has no significant correlation with the direct incidence of NAFLD in children. As for family intervention measures, it is necessary not only to improve the nutrition literacy level of caregivers but also to effectively apply nutritional knowledge in practice to optimize health management.

Objective To explore the relationships between social support,positive coping,caregiver burden and family resilience of primary caregivers of first-stroke patients.Methods A questionnaire survey was conducted among 307 primary caregivers of first-stroke patients in 2 tertiary hospitals in Shanghai by convenience sampling method.Social support rating scale,simplified coping style questionnaire,Zarit caregiver burden interview,and family resilience assessment scale were used for questionnaire survey.Pearson correlation analysis and structural equation models were used for data analysis.Results A total of 288 valid questionnaires were collected,and the effective recovery rate was 93.81％.Pearson correlation analysis showed that there was a positive correlation between family resilience and social support,family resilience and positive coping,and social support and positive coping(r=0.375,0.627,and 0.277;all P＜0.01),while caregiver burden and social support,caregiver burden and positive coping,and family resilience and caregiver burden were all negatively correlated(r=-0.203,-0.343,and-0.444;all P＜0.01).The mediating effect model was constructed with positive coping and caregiver burden as mediating variables,social support as independent variables,and family resilience as dependent variables.The results showed that social support could mediate family resilience through positive coping,with a mediating effect of 0.164,accounting for 26.1％of the total effect;social support could also affect the family resilience of the primary caregivers of first-stroke patients through the partial chain mediating effect of positive coping and caregiver burden,with a mediating effect value of 0.032,accounting for 5.1％of the total effect.Conclusion Social support can predict family resilience among primary caregivers of first-stroke patients,and positive coping and caregiver burden play chain mediating roles in the impact of social support on family resilience.