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.

Objective: To investigate the current status of benefit finding among young and middle-aged patients with type 2 diabetes mellitus (T2DM) and analyze its influencing factors, so as to provide a reference for improving the level of benefit finding in this population. Methods: From November 2022 to May 2023, young and middle-aged patients with T2DM aged 18-59 years hospitalized in the endocrinology departments of 2 tertiary hospitals in Hengyang City, Hunan Province were selected as survey subjects by a convenience sampling method. Basic demographic information was collected using a general questionnaire survey. Benefit finding, resourcefulness, and stigma were evaluated using the Benefit Finding Scale, the Chinese Version of the Resourcefulness Scale, and the Type 2 Diabetes Stigma Assessment Scale, respectively. A multiple linear regression model was used to analyze the influencing factors of benefit finding among young and middle-aged patients with T2DM. Results: A total of 305 young and middle-aged patients with T2DM were investigated, including 222 males (72.79%) and 83 females (27.21%). There were 231 cases aged 45-59 years, accounting for 75.74%. The scores for benefit finding, resourcefulness, and stigma were (42.86±6.06), (75.12±11.30), and (41.20±10.10), respectively. Multiple linear regression analysis showed that young and middle-aged patients with T2DM who were male (β′=0.088), aged 18-<45 years (β′=0.083), absence of diabetes complications (β′=0.124), and had higher resourcefulness scores (β′=0.679) had higher levels of benefit finding, while patients with higher stigma scores (β′=-0.097) had lower levels of benefit finding. Conclusion The level of benefit finding among young and middle-aged patients with T2DM was moderate, and was related to gender, age, diabetes complications, resourcefulness, and stigma.

Objective To investigate serum HCV-RNA detection rate in patients with positive hepatitis C virus (HCV) immunoglobulin G (IgG) antibody, and to analyze the related factors of HCV-RNA detection in patients with positive HCV IgG antibody by logistic regression analysis. Methods A retrospective study was conducted on 500 patients with positive HCV IgG antibody. The positive rate of HCV-RNA was counted. Logistic regression analysis was adopted to analyze the related factors of HCV-RNA detection in HCV IgG antibody positive population. Results A total of 317 patients with positive HCV-RNA detection were included in serum HCV-RNA positive group (n=317), and 183 patients with negative HCV-RNA detection were enrolled as serum HCV-RNA negative group (n=183). The diagnosis rate of HCV infection was 63.40% (317/500). Logistic regression analysis showed that abnormal levels of serum ALT, AST, GGT, TBIL, HCV IgG antibody, prothrombin time, and the presence of clinical symptoms were independently correlated with the detection of HCV-RNA in HCV IgG antibody positive individuals (P<0.05). Established 7-factor prediction models and created a nomogram. The chi-square value was 0.586, and P = 0.89 > 0.05. The ROC curve was plotted using pROC, and the area under the ROC curve was 0.912. Conclusion Among the population positive for HCV IgG antibody, the detection rate of serum HCV-RNA is high. Abnormal levels of ALT, AST, GGT, TBIL, IgG antibody, prothrombin time and clinical symptoms are the related factors for the detection of HCV-RNA. These indicators provide a reference for the clinical judgment of the real infection risk of HCV IgG positive individuals.

OBJECTIVE To evaluate the cost-effectiveness of fluzoparib monotherapy versus combination with apatinib as second-line or later-line treatment for patients with germline BRCA1 / 2 -mutated human epidermal growth factor receptor 2-negative （HER2－） metastatic breast cancer， from the perspective of the Chinese healthcare system. METHODS Based on the FABULOUS trial， a partitioned survival model was developed to simulate disease progression， with a cycle length of 21 days and a time horizon of 10 years. A discount rate of 4.5% per annum was applied. Model outputs included total costs and quality-adjusted life years （QALYs）. Cost-utility analysis was conducted by comparing the incremental cost-effectiveness ratio （ICER） between the two regimens against a willingness-to-pay （WTP） threshold set at twice China’s per capita gross domestic product in 2025 （199 330 yuan/QALY）. Robustness of the base-case results was tested through one-way sensitivity analysis， probabilistic sensitivity analysis， and scenario analyses. RESULTS For patients with germline BRCA1/2 -mutated HER2－ metastatic breast cancer， fluzoparib combination with apatinib provided greater health benefits （1.91 QALYs vs. 1.69 QALYs） and incurred lower total costs （1 634 119.3 yuan vs. 1 855 264.2 yuan） compared with fluzoparib monotherapy， thus representing a dominant strategy. One-way sensitivity and probabilistic sensitivity analyses confirmed the robustness of the base-case findings. Scenario analyses showed that the conclusion remained robust when the time horizon was shortened to 5 years or when the discount rate was changed to 3%； however， the results reversed when the extrapolation distribution model was altered. CONCLUSIONS Under the current WTP threshold， compared with fluzoparib monotherapy， the combination of fluzoparib and apatinib is more cost-effective as a second-line or later-line treatment for Chinese patients with germline BRCA1 / 2 -mutated HER2－ metastatic breast cancer.

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 compare the efficacies of allogeneic hematopoietic stem cell transplantation(allo-HSCT)in the treatment of post-chronic aplastic anemia(CAA)myelodysplastic syndrome(MDS)and primary MDS.Methods A retrospective analysis was conducted on 32 patients who received allo-HSCT treatment in Department of Hematology,North China University of Science and Technology Affiliated Hospital between Feb.2012 and Feb.2022,including 12 patients with post-CAA MDS and 20 patients with primary MDS.The overall survival rate,cumulative incidence of relapse(CIR)rate,non-relapse mortality(NRM)rate,and event-free survival rate were compared between the 2 groups.Results The median follow-up time for CAA to progress to MDS was 120(72-180)months.All the patients were followed up for 36(3-79)months after allo-HSCT.The 3-year overall survival rate of the post-CAA MDS group was significantly higher than that of the primary MDS group(83.8%vs 45.0%,P=0.035).The 3-year CIR of the post-CAA MDS group was significantly lower than that of the primary MDS group(16.7%vs 55.0%,P=0.021).There was no significant difference in the event-free survival rates or NRM rates between the 2 groups(both P＞0.05).Conclusion The post-CAA MDS patients have better survival after allo-HSCT than the primary MDS patients.Early allo-HSCT treatment may improve the prognosis.

Objective:To investigate the association between peak growth hormone(GH) levels and body fat mass as well as body fat percentage in children with short stature.Methods:This retrospective study included 477 children diagnosed with short stature at the Affiliated Hospital of Jining Medical University between January 2021 and November 2024, based on data from the Growth and Development Disease Follow-up Cohort Study(GDDSD) in Shandong Province. Clinical data including anthropometric measurements, laboratory tests, and body composition were collected. The relationship between GH peak and body fat mass and percentage were analyzed using smooth curve fitting and multiple piecewise linear regression models.Results:In univariate linear regression analysis, both body fat mass and body fat percentage were positively correlated with age, height, weight, body mass index, triglycerides, low density lipoprotein-cholesterol, fasting blood glucose, total body water, protein, and skeletal muscle mass(all P<0.05), and negatively correlated with GH peak and high density lipoprotein-cholesterol. After adjusting for potential confounding factors, a nonlinear relationship was observed between GH peak and both body fat mass and body fat percentage, with inflection points at 6.80 ng/mL and 7.75 ng/mL, respectively. When GH peak was below the inflection point, it was significantly negatively correlated with body fat mass and percentage( P<0.001). However, when GH peak exceeded the inflection point, the associations were no longer statistically significant( P>0.05). Conclusions:This study demonstrates a nonlinear relationship between peak GH levels and body fat percentage in children with short stature. At lower GH peaks, both body fat mass and body fat percentage increase significantly, which may contribute to an elevated future risk of cardiovascular disease.

Objective To explore the correlation between serum macrophage migration inhibitory factor(MIF),25-hydroxyvitamin D[25(OH)D]and cognitive function in patients with vestibular migraine(VM).Methods A total of 200 patients with VM were selected and used as the VM group.Based on the Montreal Cognitive Assessment(MoCA)criteria,patients were divided into the cognitively normal group(128 cases)and the cognitively impaired group(72 cases).Additionally,200 healthy individuals undergoing routine health examination were selected as the control group.Serum MIF and 25(OH)D levels were measured using enzyme-linked immunosorbent assay.Multivariate Logistic regression was used to analyze influencing factors of cognitive impairment in VM patients.The value of serum MIF and 25(OH)D levels in diagnosing cognitive impairment in patients with VM was analyzed by using the receiver operating characteristic(ROC)curve.Results The serum MIF was higher in the VM group than that of the control group,and serum 25(OH)D was lower in the VM group(P＜0.05).The serum MIF was higher in the cognitive impairment group than that of the cognitive normal group,while the serum 25(OH)D was lower in the cognitive impairment group than that of the cognitive normal group(P＜0.05).Multivariate Logistic regression found that increased serum MIF level and decreased 25(OH)D level were independent risk factors for cognitive impairment in VM patients(P＜0.05).ROC curve analysis showed that the AUC(95%CI)of the combined diagnosis of cognitive impairment in VM patients using serum MIF and 25(OH)D levels was 0.900(0.850-0.938),which was higher than that of MIF diagnosed alone[0.797(0.735-0.851)]and 25(OH)D alone[0.817(0.756-0.868),P＜0.05].Conclusion VM patients with cognitive impairment have elevated serum MIF levels and decreased 25(OH)D levels.The combined diagnostic value of the two markers has a relatively high value for VM patients with cognitive impairment.