Objective: To develop QingNangTCM, a specialized large language model (LLM) tailored for expert-level traditional Chinese medicine (TCM) question-answering and clinical reasoning, addressing the scarcity of domain-specific corpora and specialized alignment. Methods: We constructed QnTCM_Dataset, a corpus of 100 000 entries, by integrating data from ShenNong_TCM_Dataset and SymMap v2.0, and synthesizing additional samples via retrieval-augmented generation (RAG) and persona-driven generation. The dataset comprehensively covers diagnostic inquiries, prescriptions, and herbal knowledge. Utilizing P-Tuning v2, we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM. A multi-dimensional evaluation framework, assessing accuracy, coverage, consistency, safety, professionalism, and fluency, was established using metrics such as bilingual evaluation understudy (BLEU), recall-oriented understudy for gisting evaluation (ROUGE), metric for evaluation of translation with explicit ordering (METEOR), and LLM-as-a-Judge with expert review. Qualitative analysis was conducted across four simulated clinical scenarios: symptom analysis, disease treatment, herb inquiry, and failure cases. Baseline models included GLM-4-9B-Chat, DeepSeek-V2, HuatuoGPT-II (7B), and GLM-4-9B-Chat (freeze-tuning). Results: QingNangTCM achieved the highest scores in BLEU-1/2/3/4 (0.425/0.298/0.137/0.064), ROUGE-1/2 (0.368/0.157), and METEOR (0.218), demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy, coverage, and consistency. Although its ROUGE-L score (0.299) was lower than that of HuatuoGPT-II (7B) (0.351), it significantly outperformed domain-specific models in expert-validated win rates for professionalism (86%) and safety (73%). Qualitative analysis confirmed that the model strictly adheres to the “symptom-syndrome-pathogenesis-treatment” reasoning chain, though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. Conclusion Combining domain-specific corpus construction with parameter-efficient prompt tuning enhances the reasoning behavior and domain adaptation of LLMs for TCM-related tasks. This work provides a technical framework for the digital organization and intelligent utilization of TCM knowledge, with potential value for supporting diagnostic reasoning and medical education.

ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

ObjectiveThis study systematically analyzed the arginine metabolic dysregulation in the rat model of heart failure （HF）， providing a modern scientific basis for elucidating the pathogenesis of HF and offering new insights for the prevention and treatment of HF with traditional Chinese medicine （TCM）. MethodsA thoracotomy was performed to ligate the left anterior descending coronary artery of rats， which induced acute myocardial ischemia and thus led to the development of post-myocardial infarction heart failure. The rats were divided into a sham surgery group and a model group， with eight rats in each group. Serum targeted metabolomics analysis was performed using ultra-performance liquid chromatography-triple quadrupole mass spectrometry （UPLC-TQ-S）， and the spatial distribution of metabolites in cardiac tissue was observed using airflow-assisted desorption electrospray ionizationmass spectrometry imaging （AFADESI-MSI）. Targets associated with HF and arginine metabolism were screened from databases including GeneCards and the Gene Expression Omnibus （GEO）， a protein-protein interaction （PPI） network was constructed， and enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway and Gene Ontology （GO） was performed. Finally， molecular docking was conducted to verify the binding between core metabolic components and key targets， and potential TCMs were predicted based on the core pathways and targets. ResultsCompared with the sham surgery group， the levels of arginine and citrulline in the serum of model rats were significantly decreased （P<0.01）， while those of proline， ornithine， creatine， creatinine and glutamate were significantly increased （P<0.05， P<0.01）. Cardiac mass spectrometry imaging showed a decreased abundance of arginine in the local myocardial tissue. Bioinformatics analysis identified 24 core functional targets， such as the angiotensin-converting enzyme （ACE）， neuronal nitric oxide synthase （NOS1）， 5-hydroxytryptamine receptor 2A （HTR2A）， and epidermal growth factor receptor （EGFR）， and enrichment analysis indicated that these targets were significantly involved in the calcium signaling pathway， neuroactive ligand-receptor interactions， and phosphatidylinositol signaling pathway. Molecular docking confirmed strong binding activities between arginine， citrulline and HTR2A， as well as between creatine， creatinine and EGFR. Based on pathway-target prediction， potential TCM interventions， such as ginseng and magnolia， were identified. ConclusionThis study revealed characteristic arginine metabolic disorder in HF， and the core targets of HF were closely associated with the phosphatidylinositol signaling pathway. It provides a modern biological interpretation of the pathogenesis of HF in TCM from the perspectives of metabolites and signaling pathways， and offers valuable insights for targeted therapy of HF and the development of TCM.

ObjectiveTo generate cynomolgus and rhesus monkey models carrying the Booroola fecundity (FecB) variant of bone morphogenetic protein receptor type 1B (BMPR1B) gene (designated BMPR1B^FecB) using adenine base edit technology and to explore genetic improvement strategies for enhancing the reproductive performance of laboratory macaques. MethodsFour single-guide RNAs (sgRNAs) were designed to target the BMPR1B c.746A>G locus in cynomolgus and rhesus monkeys. The sgRNAs were combined with the ABE8e-SpRY base editor, and the resulting editing complexes were microinjected into zygotes of both macaque species. Following in vitro culture of the injected embryos, nested PCR amplification was performed to detect the base-editing efficiency at the target site to screen for highly efficient sgRNAs. Subsequently, normally developing gene-edited embryos were transferred into the oviducts of surrogates. Seven days after birth, ear skin or peripheral blood samples were collected from the newborn monkeys for genotyping and mosaicism analysis, and the growth, development, and health status of the gene-edited monkeys were monitored. ResultsAmong the four candidate sgRNAs, sgRNA4 was identified as achieving 100% editing efficiency at the c.746A>G site. A total of 17 live monkey offspring were obtained via embryo transfer, including 8 cynomolgus monkeys and 9 rhesus monkeys. Genotyping results showed that all 8 newborn cynomolgus monkeys carried the c.746A>G point mutation, with an editing efficiency of 100% (8/8), of which 37.50% (3/8) were mosaics. Among the 9 newborn rhesus monkeys, 8 individuals carried the c.746A>G mutation, with an editing efficiency of 88.89% (8/9), of which 75.00% (6/8) were mosaics. ConclusionThe ABE8e-SpRY base-editing system enables precise editing at the c.746A>G (p.Q249R) locus of the BMPR1B gene in both cynomolgus and rhesus monkey embryos, resulting in the successful establishment of laboratory monkey models carrying the BMPR1B^FecB variant. These models provide a valuable foundation for future studies of the regulatory role of the BMPR1B^FecB variant in reproductive performance at the non‑human primate level, as well as for exploring genetic improvement strategies to enhance reproductive performance in laboratory monkeys.

Objective: To investigate the current status of hyperopic reserve among preschool children and to determine the associations with genetic and behavioral factors, so as to provide evidence for early intervention strategies and the development of working protocols for myopia prevention with a forward shift of the prevention threshold. Methods: A total of 924 preschool children (3-6 years of age) from 6 kindergartens in Jiading District of Shanghai were enrolled by stratified random sampling from March to June 2024. Cycloplegic refraction using 1% atropine eye drops was performed to obtain accurate spherical equivalent (SE) values. Questionnaires were used to collect the genetic history and daily behavioral habits of the children. Refractive status was classified into three categories based on the SE:sufficient hyperopic reserve, relatively insufficient hyperopic reserve, and pre myopia. Results: The overall detection rate of insufficient hyperopic reserve among preschool children was 82.25%, consisting of 72.29% for relatively insufficient hyperopic reserve and 9.96% for pre myopia. Multivariate Logistic regression analysis showed that parental bilateral myopia was independently and positively associated with relatively insufficient hyperopic reserve ( OR =2.13) and pre myopia ( OR =4.35) compared to children with sufficient hyperopic reserve; electronic screen exposure time ≥2 h/d on school days was an independent and positive risk factor for pre myopia ( OR =2.83); all of the above associations were statistically significant (all P <0.05). No statistically significant association was noted between outdoor activity and hyperopic reserve (all P >0.05). Conclusions The insufficient hyperopic reserve detection rate is relatively high among preschool children in Jiading District, Shanghai. Early management of electronic device use with regular screening and monitoring for preschool children with a family history of myopia should be strengthened to shift the prevention threshold earlier and prevent childhood myopia.

Objective: To analyze near work illuminance patterns on school days and weekends among third and fourth grade primary school students by using objectively monitored data, and to examine the associations of the duration of near work under different illuminance levels and time weighted average near work illuminance with screening myopia. Methods: From April to June 2024, students from grades 3 and 4 in two primary schools in Jiading District, Shanghai were selected as study subjects by using stratified random cluster sampling method. Continuous objective monitoring of near work behavior was conducted for 7 days while information from uncorrected visual acuity and refractive assessment was collected, and an online questionnaire survey was administered to their parents. Valid samples comprised 372 students on school days and 292 on weekends. Welch s t test was used to compare differences in the duration of near work under different illuminance levels between the screening myopia and non-myopia groups. Multivariable binary Logistic regression analysis was employed to assess the association between the duration of near work under different illuminance levels and screening myopia. Restricted cubic spline (RCS) model was used to explore the nonlinear association between time weighted average near work illuminance with 60 cm and screening myopia, and the critical thresholds identified by the RCS model were used to categorize illuminance levels for subsequent Logistic regression analyses. Results: Objective monitoring of near work behavior showed that the duration of near work in the low illuminance range of [0,125)lx was significantly longer on weekends[(4.12±2.21)h] than on school days [(2.42±1.22)h]. Multivariate Logistic regression analysis revealed that only on school days, each additional hour of near work duration in the [0,125)lx ( OR =1.56, 95% CI =1.23-1.98) and ≥1 000 lx range ( OR =5.92, 95% CI =1.48-23.73) were significantly associated with higher odds of screening myopia(both P < 0.05). RCS plot showed that on school days, time weighted average near work illuminance with 60 cm had a non-linear association with screening myopia ( P non-linear <0.05). On weekends, no significant association was found between near work illuminance indicators and screening myopia (all P >0.05). Conclusions Primary school students engage in near work for considerable durations in insufficient lighting environments on both school days and weekends. Increased duration of near work in overly dim or bright environments on school days may increase the risk of screening myopia.

Objective To analyze the global pattern, long-term trends, and regional and population heterogeneity in the burden of 375 diseases and injuries and 88 risk factors from 1990 to 2023 using data from the Global Burden of Disease Study 2023 (GBD 2023). Methods Publicly available GBD 2023 estimates were extracted for incidence, deaths, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life years (DALYs), and age-standardized rates at the global level and by socio-demographic index (SDI), GBD region, age group, and sex. Descriptive analysis, ranking comparison, stratified analysis, and trend analysis were performed, and 95% uncertainty interval was used to assess the stability of estimates. Results In 2023, non-communicable diseases were the leading contributor to global DALYs, accounting for 64.39% of DALYs across the three major disease and injury groups (communicable, maternal, neonatal, and nutritional diseases, non-communicable diseases, and injuries), and also had the highest age-standardized DALYs rate. From 1990 to 2023, age-standardized DALYs rates declined for three major disease and injury groups, with estimated annual percentage changes of −2.69%, −0.78%, and −1.47%, respectively. Cardiovascular diseases ranked first by both DALYs and deaths in 2023, whereas respiratory infections and tuberculosis ranked first by incidence. Non-communicable diseases were the leading cause of disease burden across all SDI strata. As the SDI level declined, the burden of communicable, maternal, neonatal, and nutritional diseases, as well as injuries, increased markedly. Behavioral and metabolic risks remained the main contributors to attributable deaths and DALYs. Conclusion From 1990 to 2023, the global burden of disease continues to shift toward non-communicable diseases; however, some regions still face a double burden of infectious, maternal and child, injury-related, and chronic diseases. Integrating deaths, DALYs, YLLs, YLDs, and risk-attributable burden helps identify priority areas for prevention and resource allocation across regions and populations.

Objective:To explore the impact of group interpersonal psychotherapy (IPT-G) on depressive symptoms and social cognitive function of adolescents with depression.Methods:From June 2021 to December 2023, a total of 75 adolescent inpatients diagnosed with depression were recruited from Hangzhou Seventh People’s Hospital. They were divided into intervention group and control group according to the general information matching principle.Finally, 30 patients in each group completed the study.The patients in control group received antidepressant medication, psychiatric care, and general recreational activities.While the patients in intervention group received IPT-G based on the treatment of control group. Children's depression inventory (CDI), interpersonal trust scale (ITS), self-esteem scale (SES) and the adolescent cognitive style questionnaire (ACSQ) were adopted to assess the depressive symptoms and social cognitive function of adolescent inpatients before and after the intervention and at 3 and 6 months of follow-up, respectively. SPSS 25.0 software was used for statistical analysis. Chi-square test, independent sample t-test and repeated measure ANOVA were used for inter or intra group comparisons. Results:1.Comparison of depression: The time and group interaction effect of CDI scores between the two groups was significant ( F=6.405, P<0.01). Inter group comparison showed that the CDI scores of the intervention group at 3 and 6 months (12.10±5.20, 7.93±2.98) were lower than those of the control group(18.13±7.28, 15.77±5.52) (both P<0.05), and the scores of both groups at the end of the intervention, 3 months after the intervention, and 6 months after the intervention were lower than that before intervention (all P<0.05).2.Comparison of social cognitive function: (1)There were significant time and group interaction effect of ITS score and SES score( F=5.871, 6.594, both P<0.01).Inter group comparison showed that the ITS score(78.97±7.63, 83.03±7.42) and the SES score(28.00±4.00, 30.30±3.21) of intervention group at 3 months and 6 months after intervention were all higher than those of control group(ITS: (71.70±12.29, 73.90±12.79); SES: (24.37±5.08, 25.80±4.10)(all P<0.05).Intra group comparison showed that the ITS and the SES scores of the intervention group at 3 months and 6 months after intervention were all higher than before intervention( P<0.05).The ITS score of the control group at 6 months after intervention was higher than before intervention( P<0.05).The SES scores of the control group at three time points after intervention were all higher than those before intervention(all P<0.05).(2)Comparison of ACSQ scores: There were significant time and group interaction effects for the scores of academic stability, academic specificity, interpersonal introversion and extroversion, and interpersonal stability, interpersonal specificity( F=5.414, 9.294, 3.440, 8.231, 10.669, all P<0.05). Inter group comparison showed that the academic stability, academic specificity, interpersonal stability, and interpersonal specificity scores of the intervention group were lower than those of the control group at 3 and 6 months after intervention (all P<0.05).Intra group comparison showed that the academic stability, academic specificity, interpersonal introversion and extroversion, interpersonal stability, and interpersonal specificity scores of the intervention group at 3 months and 6 months after the intervention were lower than those before the intervention (all P<0.05).After 3 and 6 months of intervention, the academic stability, academic specificity, interpersonal introversion and extroversion, interpersonal stability, and interpersonal specificity scores of the control group were all lower than those before intervention (all P<0.05). Conclusion:IPT-G can not only alleviate depressive symtoms, but also improve social cognitive function.

Objective:To explore the mediating role of anxiety/depression emotions between sleep quality and cognitive function in adolescents with attention deficit hyperactivity disorder(ADHD).Methods:A cross-sectional study design was adopted, involving 204 ADHD adolescents aged 12-18 who were treated between January 2021 and November 2023.All participants were assessed using the Pittsburgh sleep quality index(PSQI)for sleep quality, the self-rating anxiety scale(SAS) and self-rating depression scale(SDS) for emotional states.Four cognitive information processing processes(planning, simultaneous processing, attention, and successive processing) were evaluated by the Das-Naglieri cognitive assessment system(DN: CAS). Data were statistically analyzed using SPSS 23.0 and Zstats software, including descriptive statistics, Spearman correlation analysis, and mediation effect analysis.Results:Among ADHD adolescents, girls exhibited significantly higher rates of sleep disturbance(71.59%(63/88) vs 43.97%(51/116), χ2=15.490, P<0.001)and depressive emotion(47.73%(42/88) vs 33.62%(39/116), χ2=4.159, P=0.041)compared to boys.High school students had a significantly higher rate of sleep disturbance than middle school students(64.84%(59/91) vs 48.67%(55/113), χ2=5.341, P=0.021). Spearman correlation analysis revealed that sleep quality(8.00(6.00, 11.00)) in ADHD adolescents was significantly and positively correlated with anxiety(38.00(32.00, 46.00); r=0.504, P<0.01) and depression(46.00(39.00, 54.00); r=0.427, P<0.01). And sleep quality, anxiety and depression were significantly and negatively correlated with the DN: CAS total score(109.5(91.25, 123.75); r=-0.158--0.237, P<0.05). Mediation analysis indicated that anxiety mediated the relationship between sleep quality and attention function(indirect effect β=-0.159, Bootstrap 95% CI=-0.287--0.046). Conclusion:ADHD adolescents exhibit complex interactions among sleep quality, emotion, and cognitive function, sleep quality indirectly affects attention function through anxiety.

Objective:To explore the impact of sleep disturbances on the symptoms and functional impairment outcomes in children with attention deficit hyperactivity disorder (ADHD) and their path analysis.Methods:A cross-sectional study was made.Two hundred and seventy-eight ADHD children aged 6-12 years were selected from the Center for Cognition and Sleep, the People′s Hospital of Guangxi Zhuang Autonomous Region from January 2022 to March 2023.The Swanson, Nolan and Pelham Rating Scale Ⅳ was used to evaluate the core symptoms of ADHD (namely, attention deficit and hyperactivity).The sleep disturbance scale for children was used to assess sleep disturbances [including disorders in initiating and maintaining sleep(DIMS), sleep breathing disorders, sleep-wake transition disorders (SWTD), disorders of arousal, disorders of excessive somnolence (DOES) and nocturnal hyperhidrosis].The Weiss Functional Impairment Rating Scale-Parent Report (WFIRS-P) was used to assess functional impairment (in family, learning and school, life skills, self-concept, social activities, and risky activities).The descriptive statistical analysis, t test, multivariate linear regression and path analysis were used for statistical analysis. Results:Compared with those without sleep disturbances, ADHD children with sleep disturbances had significantly more serious functional impairment in family [(0.87±0.42) scores vs.(0.63±0.45) scores, P<0.001], learning and school [(0.75±0.37) scores vs.(0.62±0.35) scores, P=0.011], life skills [(1.30±0.37) scores vs.(1.08±0.30) scores, P<0.001], self-concept [(1.20±0.57) scores vs.(0.92±0.49) scores, P<0.001], social activities [(0.88±0.44) scores vs.(0.67±0.42) scores, P<0.001] and risky activities [(0.28±0.24) scores vs.(0.21±0.21) scores, P=0.043].The results of multivariate linear regression analysis showed that after adjusting for gender, age, total intelligence quotient, and core symptoms of ADHD, the regression coefficients of DOES in domains of family ( B=0.02, P=0.042) and life skills ( B=0.03, P<0.001) and the regression coefficient of DIMS in self-concept were still statistically significant ( B=0.02, P=0.013).The path analysis results showed that DOES ( β=0.170, P=0.004), attention deficit ( β=0.223, P<0.001) and hyperactivity ( β=0.385, P<0.001) directly affected WFIRS-P.DOES indirectly affected WFIRS-P through attention deficit ( β=0.270, P<0.001), and SWTD indirectly affected WFIRS-P through hyperactivity ( β=0.199, P=0.004). Conclusions:Severer sleep disturbances are associated with severer functional impairment in children with ADHD, and sleep phenotypes can directly or indirectly affect functional impairment outcomes in different domains in children with ADHD through core symptoms of ADHD.