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.

Organoid technology， a rapidly advancing three-dimensional （3D） cell culture platform， can closely mimic the microarchitecture and functions of human digestive organs， effectively overcoming the limitations of conventional two-dimensional cell models and animal experiments. By systematically summarizing the distinctive strengths of organoid technology in simulating digestive physiological and pathological states， constructing digestive system disease models， enabling high-throughput drug screening， and facilitating personalized treatment， this review explored the potential applications of organoids in identifying active components of traditional Chinese medicine （TCM） formulas， evaluating in vitro pharmacokinetics and toxicological parameters， and investigating multi-target synergistic mechanisms. By integrating cutting-edge engineering technologies， organoids are expected to provide a more scientific research platform for TCM， accelerate the modernization of its mechanistic studies， and enhance its scientific value and global impact.

Objective: To analyze the relationship between asthma and nocturia in women based on the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2018,so as to provide reference for the prevention and treatment of female nocturia. Methods: Female respondents aged ≥20 years with nocturia or asthma were selected from the 2005-2018 NHANES database.Those with both diabetes stroke and obstructive sleep apnea syndrome were excluded.A weighted analysis was conducted using a complex sampling design.The association between asthma and nocturia in women was evaluated with univariate analysis，propensity score matching (PSM)，and multivariate logistic regression models. Results: A total of 14 718 respondents were selected，of whom 1426 (9.7%) were diagnosed with asthma，and 4664 (31.7%) with nocturia.There is a significant correlation between asthma and nocturia (χ =39.846，P<0.01). Age，body mass index (BMI)，smoking and race were also associated with nocturia (P<0.01).Multivariate logistic regression analysis showed that，the age，BMI，smoking，race and asthma were correlated with the risk of nocturia，before PSM matching (P<0.05).To eliminate confounding bias，PSM was applied，and generalized linear mixed model analysis after matching showed that the risk of nocturia remained high in asthma patients (OR=1.540，95% CI：1.320-1.800，P<0.01). Conclusion: Asthma is associated with nocturia in women，indicating that it may be an important risk factor for female nocturia.

Perilla frutescens (L.) Britt. is a characteristic oil crop rich in polyunsaturated fatty acids, particularly α-linolenic acid, which has important development and utilization value. The Dof transcription factor is one of the plant-specific transcription factor families, which is widely involved in important biological processes such as plant growth, development, and metabolic regulation. In order to explore the key Dof transcription factors involved in the oil biosynthesis and systematically analyze their regulatory mechanisms of P. frutescens seeds, a total of 56 PfDof gene family members were identified from the genome and transcriptome data of P. frutescens and classified into four subfamilies according to sequence characteristics. All PfDofs contained highly conserved C₂-C₂ zinc finger domains, with gene duplication being the primary mechanism driving their evolution and expansion. Genes within the same subgroup exhibited similar gene structures and conserved motifs. The 56 PfDofs were predicted as unstable hydrophilic proteins, with α-helixes and random coils as their predominant structural components. The RNA-seq results revealed that 11 PfDofs exhibited differential expression during different developmental stages of P. frutescens seeds. RT-qPCR was performed to further validate the expression patterns of these 11 members across various tissue samples (root, stem, leaf, and flower) of P. frutescens and at different developmental stages of its seeds. The results showed that PfDof29 exhibited the highest expression level in seeds, which was consistent with the transcriptome data. Subcellular localization studies demonstrated that PfDof29 was localized to the nucleus and had a transcriptional activation activity. Overexpression of PfDof29 in Nicotiana tabacum resulted in a significant increase in total oil content of tobacco leaves, accompanied by reductions in starch and soluble sugar content, while the protein content remained unchanged. Additionally, the metabolic balance between saturated and unsaturated fatty acids in the transgenic tobacco leaves was altered, with a significant increase in α-linolenic acid content. The expression levels of the fatty acid desaturase genes NtFAD2, NtFAD3, and NtFAD8 were significantly upregulated. A yeast one-hybrid assay revealed that PfDof29 could directly bind to the promoter region of PfFAD8, thereby regulating its expression. This study provides an initial understanding of the regulatory mechanisms of PfDof transcription factors in the synthesis and accumulation of oil in P. frutescens. These findings offer new insights into the enhancement of oil content and quality of P. frutescens seeds.
Transcription Factors/physiology* ; Perilla frutescens/metabolism* ; Plant Proteins/metabolism* ; Gene Expression Regulation, Plant ; alpha-Linolenic Acid/biosynthesis* ; Lipids/biosynthesis* ; Seeds/genetics*

The pathogenesis of ulcerative colitis(UC)is still unclear,and the pathogenesis based on intestinal mucosal immune imbalance is now widely recognized."Spleen as the defense"refers to the function of the spleen to protect the body and defend against pathogenic factors,which is highly consistent with modern mucosal immunology theory.The abnormal function of"Spleen as the defense"is the key reason for the immune imbalance of UC intestinal mucosa.In this paper,"spleen as the defense"as the starting point,to explore the mechanism of UC intestinal mucosal immune dysfunction,to consolidate the theoretical basis for the treatment of UC based on spleen,and to provide a theoretical basis for the treatment of UC from the perspective of restoring intestinal mucosal immune homeostasis.

Objective To analyze the epidemic status of newly diagnosed occupational diseases in Guangdong Province during the “13th Five-Year Plan” period, and scientifically evaluate the critical risk factors for occupational disease prevention and control. Methods The data of newly diagnosed occupational diseases reported by internet in Guangdong Province from 2016 to 2020 was collected from Report Card of Occupational Diseases using Occupational Diseases and Health Hazard Factors Monitoring Information System under China Disease Prevention and Control Information System. Data was used to determine the epidemic status and identify key risk factors. Results A total of 4 846 cases of occupational diseases were reported in Guangdong Province during the “13th Five-Year Plan”period, with an increase rate of 39.13% compared with the “12th Five-Year Plan” period (3 483 cases). The annual distribution of newly diagnosed occupational disease cases showed a trend of increasing and then declining. The top five percentage on types of occupational diseases were occupational noise-induced deafness, occupational silicosis, occupational chronic benzene poisoning, other occupational pneumoconiosis and occupational hand-arm vibration disease, accounting for 45.23%, 16.28%, 11.52%, 7.92% and 4.60%, respectively. Cases from the Pearl River Delta region accounted for 92.76%, while five non-Delta cities had “zero reported cases”. Regarding industry sector, cases were primarily concentrated in manufacturing, construction, and mining, accounting for 84.21%, 5.49% and 3.59%, respectively. Regarding industry categories, cases were concentrated in metal products, non-metallic mineral products, manufacturing of cultur, education, art, sports and entertainment goods, manufacturing of computer, communication and other electric devices, and manufacturing of specialized equipment, accounting for 11.70%, 10.17%, 8.60%, 7.82%, and 4.81%, respectively. A total of 196 enterprises (accounting for 7.39%) reported an average of three or more new cases per year, while 19 enterprises (accounting for 0.72%) reported an average of ten or more cases per year. Conclusion The epidemic status of occupational diseases in Guangdong Province showed a “triple concentration” characteristic in disease types, regions, and industries during the “13th Five-Year Plan” period. Particular attention should be paid to epidemic status of occupational noise-induced deafness, occupational silicosis, occupational chronic benzene poisoning, other occupational pneumoconiosis, and occupational hand-arm vibration disease, and also pay special attention to the prevention and control of occupational diseases in the Pearl River Delta region, cities with “zero reported cases”, manufacturing industry and occupational disease-prone enterprises.

[Objective] To explore the expression of Nectin-4 in invasive bladder urothelial carcinoma (BUC) tissue and its clinical significance, so as to provide reference for clinical diagnosis and treatment of BUC. [Methods] Nectin-4 expression in 60 cases of invasive BUC and 40 cases of chronic inflammation of bladder mucosa was detected with immunohistochemical staining (IHC) and RNAscope.The results of the two methods were analyzed and compared, and the relationship between the two methods and the clinicopathological characteristics of invasive BUC was discussed.The correlation between the protein expression of Nectin-4 in BUC tissues, human epidermal growth factor receptor 2 (Her-2) and programmed death factor ligand 1 (PD-L1) was analyzed. [Results] The positive protein expression rates of Nectin-4 detected by IHC were 78.33%(47/60) and 17.50% (7/40) in the invasive BUC group and inflammatory group, respectively, while the positive mRNA expression rates of Nectin-4 detected by RNAscope were 83.33% (50/60) and 12.50% (5/40), respectively.The Kappa values of Nectin-4 in the invasive BUC group and inflammatory group were 0.732 and 0.610, respectively, with general consistency.The protein expression of Nectin-4 in invasive BUC was correlated with muscular invasion, histological grade, vascular thrombus, lymph node metastasis and clinical stage (P<0.05). The mRNA expression of Nectin-4 in invasive BUC was correlated with max tumor diameter, muscular invasion, histological grade, vascular thrombus, lymph node metastasis and clinical stage (P<0.05). The high expression of Nectin-4 in invasive BUC was positively correlated with the expression of Her-2 (P=0.002), but not with the expression of PD-L1 (P>0.05). [Conclusion] Nectin-4 is highly expressed in invasive BUC, and is usually associated with the pathological parameters of poor prognosis.Detection of Nectin-4 expression will help to guide clinical diagnosis and treatment.

Objective To analyze the influence of drainage volume on prognosis of acute hydrocephalus(AHC)after aneurysmal subarachnoid hemorrhage(aSAH)by continuous lumbar drainage.Methods A retrospective trial was conducted on 82 AHC patients after aSAH admitted to the First Affiliated Hospital of Chongqing Medical University between January 2017 and January 2022.In 6 months after discharge,modified Rankin Scale(mRS)score was used to evaluate the prognostic outcomes.Univariate and multivariate logistic regression analyses were performed on demographic factors,severity of subarachnoid hemorrhage(SAH)at admission,medical history,cerebral vasospasm,and lumbar drainage data.Then a nomogram prediction model was constructed.Results Univariate analysis found that World Federation of Neurosurgical Societies(WFNS)score,Hunt-Hess grade,modified Fisher grade,time for continuous lumbar drainage,shunt dependence,cerebral vasospasm,and drainage volume were factors affecting the prognosis of the patients.Then logistic regression analysis revealed that high WFNS score(OR:3.25,95％CI:1.11～9.48),high modified Fisher grade(OR:3.66,95％CI:1.08～12.35),shunt dependence(OR:15.56,95％CI:1.22～198.57),and cerebral vasospasm(OR:22.24,95％CI:3.08～160.68)were independent predictors for mRS score,while volume of continuous lumbar drainage(OR:0.57,95％CI:0.40～0.82)was an independent protective factor.ROC curve analysis indicated a good predictive performance of the model(AUC=0.898,95％CI:0.935～0.861).Internal validation through Bootstrap method demonstrated excellent discriminatory ability of the model(C-index=0.950,95％CI:0.904～0.996;adjusted C-index:0.934).Conclusion Increased volume of lumbar drainage is an independent protective factor for poor prognosis following aSAH and can improve the prognosis of SAH patients.

Periodontal ligament stem cells(PDLSCs)have the potential for multidirectional differentiation and are the preferred seed cells for periodontal tissue regeneration.In recent years,a large number of studies have confirmed that PDLSCs also possess broad immunomodulatory properties.Therefore,in-depth exploration of their specific molecular mechanisms is of great significance for the treatment of periodontitis.The aim of this paper is to summarize the research progress on the regulation of PDLSCs on various immune cells and the effect of the inflammatory environment on the im-mune characteristics of PDLSCs to provide an important theoretical basis for the allotransplantation of PDLSCs and im-prove the therapeutic effect of periodontal tissue regeneration.Studies have shown that PDLSCs possess a certain degree of immunosuppressive effect on both innate and acquired immune cells,and inflammatory stimulation may lead to the im-pairment of the immunoregulatory properties of PDLSCs.However,current studies are mainly limited to in vitro cell tests and lack in-depth studies on the immunomodulatory effects of PDLSCs in vivo.In vivo studies based on cell lineage trac-ing and conditional gene knockout technology may become the main directions for future research.

The application of artificial intelligence(AI)in medical diagnosis and treatment is becoming increasingly widespread,providing doctors and patients with more high-quality,efficient and personalized medical services.However,it also raised a series of ethical issues such as data security,algorithm transparency,responsibility definition,fairness and justice,doctor-patient relationships,and other aspects.Based on the combing of existing research results,this paper analyzed the research status of medical ethics in the application of AI in diagnosis and treatment,as well as expected that future medical ethics research can further explore the ethical issues of AI technology in medical treatment in greater depth,thus ensuring the rational application of AI in the medical field and maximizing the protection of patients'rights and interests.