This paper outlines the development of artificial intelligence （AI） and its applications in traditional Chinese medicine （TCM） research， and elucidates the roles and advantages of large language models， knowledge graphs， and natural language processing in advancing syndrome identification， prescription generation， and mechanism exploration. Using spleen-stomach diseases as an example， it demonstrates the empowering effects of AI in classical literature mining， precise clinical syndrome differentiation， efficacy and safety prediction， and intelligent education， highlighting an upgraded research paradigm that evolves from data-driven and knowledge-driven approaches to intelligence-driven models. To address challenges related to privacy protection and regulatory compliance in cross-institutional data collaboration， a "trusted federated evidence-based analysis platform for TCM spleen-stomach diseases" is proposed， integrating blockchain-based smart contracts， federated learning， and secure multi-party computation. The deep integration of AI with privacy-preserving computing is reshaping research and clinical practice in TCM spleen-stomach diseases， providing feasible pathways and a technical framework for building a high-quality， trustworthy TCM big-data ecosystem and achieving precision syndrome differentiation.

Objective To investigate the prevalence of thyroid nodules in the physical examination population in Mianyang region and analyze its association with metabolic syndrome. Methods A retrospective study was conducted on 9 978 individuals who underwent health examinations at our hospital from January 2024 to May 2025. Thyroid examinations were performed using color Doppler ultrasound to analyze the prevalence of thyroid nodules in this population. Clinical data of all subjects were collected, and logistic regression analysis was employed to assess the association between metabolic syndrome and the risk of thyroid nodule development. Results The prevalence of thyroid nodules in the physical examination population of Mianyang region was 17.98% (1 794/9 978). The logistic regression results showed that after adjusting for gender, age, BMI, occupation, consumption of non-iodized salt, staying up late, daily sleep duration, anxiety, and depression, metabolic syndrome (OR=6.593, 95% CI: 3.961-10.975) was associated with thyroid nodules (P<0.05). Conclusion The prevalence of thyroid nodules among the physical examination population in the Mianyang area is 17.98%, and metabolic syndrome remains associated with the risk of thyroid nodules after effectively controlling for confounding factors.

Background Microparticles (MPs) are one of the main medium of inflammatory reaction with an important role in atherosclerotic progression. Studies on association of air pollution exposure and levels of peripheral blood MPs are limited among human. Objective To evaluate the effects of short-term exposure to air pollution on levels of peripheral blood MPs. Method A panel of 73 healthy adults was followed with 4 repeated follow-ups in Beijing, China, from November 2014 to January 2016. During each visit, we collected questionnaire information, fasting venous blood, urine, and exposures to fine particulate matter (PM_2.5), black carbon, nitric oxide, nitrogen dioxide, nitrogen oxide, sulfur dioxide, carbon monoxide, and ozone. We used linear mixed-effect models to analyze associations of air pollution exposure with levels of total MPs (TMPs) and MPs derived from various cells. Stratified analysis was conducted by levels of C-reactive protein (CRP) and malondialdehyde (MDA). Results The results showed significant associations between air pollution exposure and peripheral blood TMPs at 2 h-6 d prior to the follow-ups (P<0.05), while no statistical associations were found for MPs derived from different cell types. Significant increases in TMPs of 7.8% (95%CI: 0.7%, 15.3%) and 14.3% (95%CI: 2.8%, 27.2%) were observed with each interquartile range (IQR) increase in PM_2.5 (IQR=64.9 μg·m⁻³) at prior 18 h and NO (IQR=40.5 μg·m⁻³) at prior 48 h. Among participants with low levels of CRP and MDA, significantly positive associations were observed between air pollution exposure and levels of TMPs (P<0.05). Conclusion Short-term exposure to air pollution is significantly associated with increased levels of circulating MPs in healthy adults, and in people with lower systemic inflammation, peripheral blood MPs levels are more easily affected after exposure to air pollutants.

BACKGROUND:Pinoresinol diglucoside promotes bone formation and bone matrix synthesis and accelerates bone tissue repair.However,the mechanism of action and effects of this compound in osteoblasts need to be further explored. OBJECTIVE:To investigate the effect and mechanism of action of pinoresinol diglucoside on dexamethasone-treated osteoblasts based on the Wnt/β-catenin signaling pathway. METHODS:Different concentrations of dexamethasone groups and pinoresinol diglucoside groups were set to treat osteoblasts for 24 hours,and the optimal intervention concentrations were screened.Osteoblasts were treated with dexamethasone,pinoresinol diglucoside and inhibitor XAV-939.Then,control group,dexamethasone group,XVA-939 group,pinoresinol diglucoside group,pinoresinol diglucoside+XVA-939 group were set up.Cell counting kit-8 assay was used to detect cell activity.Alkaline phosphatase activity and caspase3/7 enzyme activity in cells were detected.Annexin V/PI staining and EdU assay were used to detect cell apoptosis and proliferation.Real-time qPCR and western blot were used to detect the mRNA and protein expression levels of Wnt3a,β-catenin,c-myc,osteocalcin,and type I collagen,respectively. RESULTS AND CONCLUSION:After dexamethasone and pinoresinol diglucoside intervened in osteoblasts for 24 hours,10 μmol/L dexamethasone was found to be the optimal intervention concentration for cell inhibition,and cell proliferation was most pronounced at a concentration of pinoresinol diglucoside of 100 μmol/L.Compared with the dexamethasone group,alkaline phosphatase activity was significantly enhanced(P<0.05)and caspase3/7 enzyme activity was significantly reduced(P<0.05)in the pinoresinol diglucoside group.Annexin V/PI staining and cell proliferation assay by EdU method showed that pinoresinol diglucoside inhibited apoptosis and promoted proliferation of osteoblasts after dexamethasone intervention.The mRNA and protein expression levels of Wnt3a,β-catenin,c-myc,osteocalcin,and type I collagen were significantly higher in the pinoresinol diglucoside group and pinoresinol diglucoside+XVA-939 group compared with the dexamethasone and XVA-939 groups(P<0.05).To conclude,pinoresinol diglucoside can inhibit osteoblast apoptosis after dexamethasone intervention,protect osteoblast activity and promote osteoblast proliferation by activating the Wnt/β-catenin signaling pathway,which may play a role in delaying steroid-induced osteonecrosis of the femoral head.

Glucagon-like peptide-1 （GLP-1） receptor agonists are a novel class of antidiabetic drugs that also possess lipid- lowering and cardiovascular protective effects， with liraglutide and semaglutide being their representative medications. Based on a systematic literature search， this review summarizes the lipid-lowering mechanisms by which liraglutide and semaglutide exert direct effects on the liver and kidney （regulating autophagy， key lipid metabolism pathways， reverse cholesterol transport， etc.）， direct actions on adipose tissue （affecting adipocyte proliferation and differentiation， expression of lipid metabolism proteins， and gene transcription）， activation of sympathetic pathways through the central nervous system， and modulation of the gut microbiota. Additionally， it summarizes the clinical evidence of their lipid-lowering effects in populations with type 2 diabetes mellitus， overweight individuals， and others. These findings indicate that GLP-1 receptor agonists exert lipid-lowering effects by acting on multiple tissues or systems， providing crucial evidence for further elucidating the molecular mechanisms of these drugs in lipid regulation and exploring potential new ideas for their clinical applications.

Immune checkpoint inhibitors and antibody–drug conjugates are increasingly incorporated into the clinical management of advanced urothelial carcinoma. The immunohistochemical detection of relevant biomarkers facilitates the selection of individualized precision therapies and supports the prediction of therapeutic efficacy. This review summarizes biomarkers associated with the treatment of urothelial carcinoma and the methodologies and clinical applications of immunohistochemical testing, focusing on the correlation between biomarker expression and the divergent differentiation or histological subtypes of urothelial carcinoma.

ObjectiveTo analyze the development trajectory， research hotspots， and trends in medical humanities research in China since the new era. MethodsA search was conducted on the CNKI （China National Knowledge Infrastructure） advanced search page using the themes“medical humanities”or “humanistic medicine，”retrieving a total of 5，758 articles. After applying specific screening criteria， 5，095 articles were included in the analysis. Citespace6.1.R6 was used to visualize and analyze the authors， institutions， and keywords of the 5，095 articles. ResultsSince the new era， the volume of publications on medical humanities in China has shown an overall upward trend， with limited collaboration between core institutions and core authors. The research content of medical humanities has evolved from broad to specific， from abstract to concrete， and from theoretical to practical. ConclusionThe development of medical humanities research in China has generally gone through three stages： defining related concepts， integrating medical humanistic spirit into clinical practice， and applying empirical methods. Narrative medicine， ideological and political education in curricula， and medical humanities education are potential future research directions.

Objective: To investigate the clinicopathological characteristics and surgical outcomes of adrenal hemolymphangioma,so as to enhance the understanding of this disease. Methods: Clinical and pathological data of 8 patients with adrenal hemolymphangioma admitted to the Department of Urology of our hospital during Jan.2013 and Dec.2022 were retrospectively analyzed,and relevant literature was reviewed. Results: The patients included 5 males and 3 female,median age 54(25-75) years.Adrenal hemolymphangioma was detected in all patients in physical examinations without obvious symptoms.And 4 of the patients had a history of hypertension.Adrenal function test results showed no abnormalities.A total of 9 tumors were identified by imaging examination,including 1 unilateral multiple and 7 unilateral solitary tumors,with a median diameter of 3.6(1.0-5.4) cm.Posterior laparoscopic adrenal tumor resection was performed in 7 cases and robot-assisted laparoscopic adrenal tumor resection in 1 case；all of the tumors were completely removed.The median operation time was 77(53-115) min,median intraoperative blood loss 7.5(2.0-20.0) mL,and median postoperative hospital stay 4(1-7) d.Postoperative pathology showed interwoven deformed and dilated blood vessels and lymphatic vessels in the cystic tumors,with a large amount of lymphoid fluid,lymphocytes and red blood cells.Chronic lymphocyte infiltration was visible between the tube walls.The cystic cavity was partially connected,with flat endothelial cells lining.The pathological diagnosis was adrenal hemolymphangioma.During the median follow-up of 53.5(12.0-106.8) months,all patients recovered well,with stable blood pressure and no tumor recurrence or metastasis. Conclusion: Adrenal hemolymphangioma has no specific clinical symptoms.As adrenal functional tests show no obvious abnormalities,the diagnosis depends on pathological examinations.Popsterior laparoscopic or robot-assisted laparoscopic resection has good efficacy and prognosis.

Artificial intelligence （AI） and population pharmacokinetics （PPK） technologies have demonstrated significant potential in the personalized medication of immunosuppressants after organ transplantation, enabling precise prediction of drug dosages. This article provides a comprehensive review of the application status of AI and PPK in the individualized administration of immunosuppressants after organ transplantation， focuses on monitoring blood drug concentration， predicting efficacy/adverse reactions， and establishing individualized dosing models for organ transplant recipients after immunosuppressant administration， and analyzes and compares the application characteristics of different methods in different organ transplant patients as well as the integration and future development of AI and PPK technologies. AI and PPK technologies can not only significantly reduce the dependence on human resources， but also greatly improve the level of individualized treatment of immunosuppressants after organ transplantation， and reduce the discomfort and burden caused by frequent blood concentration monitoring to patients.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.