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 examine the relationship among physical education core literacy, exercise self efficacy, physical self esteem and subjective exercise experience among middle school students, and to analyze the latent classes of exercise self efficacy, so as to provide evidence for enhancing adolescents subjective exercise experience. Methods: Using stratified cluster random sampling, 2 569 students from 12 provinces, autonomous regions or municipality directly under the central govement (Jiangxi, Guangdong, Hunan, Guizhou, Henan, Guangxi, Yunnan, Chongqing, Sichuan, Shandong, Hubei, Hebei) were surveyed from September to November in 2024 with Core Competency Scale of Physical Education, Subjective Exercise Experiences Scale, Exercise Self Efficacy Scale, and Physical Self esteem Scale. Pearson correlation analysis was conducted to explore the relationships among physical education core literacy, exercise self efficacy, physical self esteem, and subjective exercise experience. Mediation models with Bootstrap testing were employed to examine the mediating roles of exercise self efficacy and physical self esteem in the relationship between physical education core literacy and subjective exercise experience. Latent profile analysis (LPA) of exercise self efficacy was performed using Mplus 8.3. Results: Pearson correlation analysis revealed positive associations between physical education core literacy and exercise self efficacy ( r =0.21), physical self esteem ( r =0.38), and subjective exercise experience ( r =0.40); exercise self efficacy was positively correlated with physical self esteem ( r =0.25) and subjective exercise experience ( r =0.45); and physical self esteem was positively correlated with subjective exercise experience ( r =0.34) (all P <0.01). Mediation analysis indicated that physical education core literacy positively predicted subjective exercise experience ( β =0.41, P <0.05), with exercise self efficacy and physical self esteem serving as partial mediators (effect size=0.14, P <0.01), accounting for 34% of the total effect. LPA identified three latent classes of exercise self efficacy:low (14.71%, n =378), moderate (65.51%, n =1 683), and high (19.78%, n =508) exercise self efficacy groups. Conclusion Adolescents exercise self efficacy demonstrates heterogeneity, and both exercise self efficacy and physical self esteem mediate the relationship between physical education core literacy and subjective exercise experience.

Objective: To understand the dynamic temporal evolution pathways of Internet addiction among university students and to identify the core driving nodes, so as to provide theoretical evidences for the precise implementation of targeted interventions. Methods: Using a convenient cluster sampling method, a total of 1 066 full time freshmen and sophomores were recruited from three universities in Guizhou, Jiangxi, and Guangdong Provinces for a follow up survey (T1:January-March 2024; T2:January-March 2025). The Revised Chen Internet Addiction Scale (CIAS-R) was employed to assess the status of Internet addiction among university students, and cross sectional as well as cross lagged panel network models were constructed to analyze Internet addiction and its multidimensional influencing factors. Results: The T1 network comprised 19 nodes and 114 non zero edges, while the T2 network comprised 19 nodes and 126 non zero edges. Cross sectional network analysis revealed the strongest association between "insufficient sleep" and "daytime fatigue"; the core nodes were "first thought upon waking for going online" and "feeling low after disconnection" (characteristics of psychological dependence) at T1, while the core nodes shifted to "impaired health" and "excitement when online" (characteristics of functional impairment and addictive psychodynamic features) at T2. Cross lagged network analysis further indicated that "reduced leisure" directly predicted "sleep compression", and a bidirectional relationship was observed between "needing more time to achieve satisfaction" and "academic decline". Conclusions Internet addiction among university students exhibits dynamic evolutionary characteristics. Stage specific targeted interventions focusing on core driving nodes are needed, integrating behavioral regulation and academic support to break the vicious cycle and enhancing the ability to cope with real life demands.

This study aims to explore the pharmacodynamic material basis of Jinbei Oral Liquid(JBOL) against idiopathic pulmonary fibrosis(IPF) based on serum pharmacochemistry and network pharmacology. The ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UHPLC-Q-TOF-MS/MS) technology was employed to analyze and identify the components absorbed into rat blood after oral administration of JBOL. Combined with network pharmacology, the study explored the pharmacodynamic material basis and potential mechanism of JBOL against IPF through protein-protein interaction(PPI) network construction, "component-target-pathway" analysis, Gene Ontology(GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. First, a total of 114 compounds were rapidly identified in JBOL extract according to the exact relative molecular mass, fragment ions, and other information of the compounds with the use of reference substances and a self-built compound database. Second, on this basis, 70 prototype components in blood were recognized by comparing blank serum with drug-containing serum samples, including 28 flavonoids, 25 organic acids, 4 saponins, 4 alkaloids, and 9 others. Finally, using these components absorbed into blood as candidates, the study obtained 212 potential targets of JBOL against IPF. The anti-IPF mechanism might involve the action of active ingredients such as glycyrrhetinic acid, cryptotanshinone, salvianolic acid B, and forsythoside A on core targets like AKT1, TNF, and ALB and thereby the regulation of multiple signaling pathways including PI3K/AKT, HIF-1, and TNF. In conclusion, JBOL exerts the anti-IPF effect through multiple components, targets, and pathways. The results would provide a reference for further study on pharmacodynamic material basis and pharmacological mechanism of JBOL.
Drugs, Chinese Herbal/pharmacokinetics* ; Animals ; Tandem Mass Spectrometry ; Network Pharmacology ; Rats ; Chromatography, High Pressure Liquid ; Rats, Sprague-Dawley ; Male ; Idiopathic Pulmonary Fibrosis/metabolism* ; Humans ; Administration, Oral ; Protein Interaction Maps/drug effects* ; Signal Transduction/drug effects*

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

The genus jujube(Ziziphus jujuba Mill.)within the Rhamnaceae family encompasses numerous varieties,such as Ziziphus jujuba Mill.var.jujuba,Ziziphus jujuba var.inermis,and var.spinosa,etc.Among these,the jujube fructus has the most abundant cultivated variants across the country,including Ziziphus jujuba cv.Hamidazao and Ziziphus jujuba cv.Huanghetanzao.Jujube plants are rich in variety and are used for both medicinal and food purposes.Polysaccharides,one of the main active ingredients of jujube,are important medicinal components that contribute to its efficacy.Jujube polysaccharides have been found to promote hematopoiesis,exhibit antioxidant and anti-tumor activities,repair liver damage,regulate the immune system,and provide anti-inflammatory effects.By comprehensively summarizing and analyzing the literature on jujube polysaccharides from different varieties and origins,this paper reviews the potential mechanisms of action of jujube polysaccharides in exerting biological activities.It also summarizes the primary structural features,such as relative molecular mass,monosaccharide composition,glycosidic linkage,and the substituent modifications of jujube polysaccharides by sulfation,phosphorylation,carboxymethylation,selenization,and acetylation.This review aims to provide a reference for the research and development of jujube in the fields of innovative polysaccharide drugs and functional foods.

ObjectiveExosomes are microvesicles which could be secreted by all cell types with diameters between 30 and 150 nm. It was widely distributed in body fluids including blood, urine, and breast milk. Exosomes are considered as potential biomarkers and drug carriers by reason of containing nucleic acids, lipids, proteins and other bioactive molecules. Milk-derived exosomes have been widely used as drug delivery carriers to treat targeted diseases with a lower cost, higher biocompatibility and lower immunogenicity. Until now, there is no research about the milk-derived exosomes phosphorylation to reveal the difference of protein phosphorylation in different species of milk. To investigate the pathways and proteins with specific functions, phosphorylated proteomic analysis of milk-derived exosomes from different species is performed, and provide new ideas for exploring diversified treatments of disease. MethodsWhey and exosomes derived from bovine, porcine and caprine milk were performed for proteomics and phosphoproteomics analysis. The relationship between milk exosome proteins from different species and signaling pathways were analyzed using bioinformatics tools. ResultsA total of 4 191 global proteins, 1 640 phosphoproteins and 4 064 phosphosites were identified from 3 species of milk-derived exosomes, and the exosome proteins and phosphoproteins from different species were significantly higher than those of whey. Meanwhile, some special pathways were enriched like Fcγ-mediated phagocytosis from bovine exosomes, pathways related with neural and immune system from caprine exosomes, positive and negative regulation of multiple activities from porcine exosomes. ConclusionIn this study, the proteomic and phosphoproteomic analyses of exosomes and whey from bovine, porcine and caprine milk were carried out to reveal the difference of composition and related signaling pathways of milk exosome from different species. These results provided powerful support for the application of exosomes from different milk sources in the field of disease treatment.

Objective: To explore the longitudinal relationship between regulatory emotional self-efficacy and the persistence of exercise, so as to provide a reference for promoting the development of exercise habits among college students. Methods: Using a cluster random sampling method, one undergraduate institution was selected from each of Jiangxi, Hunan, Guizhou, Yunnan, Guangdong, Anhui, and Fujian provinces. A total of 2 576 college students were recruited. The Regulatory Emotional Self-efficacy Scale and Exercise Persistence Scale were distributed to college students through the questionnaire star platform. Three rounds of questionnaire surveys were completed in September 2023 (T1), December 2023 (T2), and March 2024 (T3). Crosslagged analysis was employed to explore the relationship between regulatory emotional selfefficacy and the persistence of college students exercise. Results: Repeated measures analysis of variance indicated that the main effects of regulatory emotional self-efficacy on time and gender were statistically significant ( F =102.15, η 2=0.07; F =34.80, η 2=0.01), and the interaction effects between time and gender, as well as between time and academic stage, were also statistically significant ( F =3.81, η 2=0.00; F = 25.54 , η 2=0.02)( P ＜ 0.05). The main effect of exercise persistence on time was statistically significant ( F =111.28, η 2=0.05) and the interaction effect between time and academic stage was statistically significant ( F =27.13, η 2=0.02)( P <0.01). Cross lagged analysis revealed that regulatory emotional self-efficacy at T1 positively predicted exercise persistence at T2 ( β =0.068), and regulatory emotional self-efficacy at T2 positively predicted exercise persistence at T3 ( β =0.368)( P ＜0.01). Prior exercise persistence positively predicted subsequent exercise persistence, with path coefficients of 0.298 and 0.240 ( P <0.01). Exercise persistence at T1 negatively predicted regulatory emotional self-efficacy at T2 ( β =-0.068), and exercise persistence at T2 positively predicted regulatory emotional self-efficacy at T3 ( β =0.061) ( P <0.01). Prior regulatory emotional self-efficacy positively predicted subsequent regulatory emotional self-efficacy, with path coefficients of 0.271 and 0.639 ( P <0.01). Conclusions There is a longitudinal causal relationship between regulatory emotional self-efficacy and college students exercise persistence. In daily physical activities, the significant role of emotional factors in sports practices should be emphasized to promote exercise behaviors among college students.

Plasma metabolomics combined experimental verification was employed for investigating of the hypoglycemic effect of Panax notoginseng saponins (PNS) on type 2 diabetes mellitus (T2DM) mice. Forty C57BL/6J mice were randomly divided into control and experimental groups after one week of adaptive feeding. The mice in control group were fed conventionally, and the T2DM model was established in mice of the experimental group by intraperitoneal injection of streptozotocin following twelve weeks of feeding on a high-fat diet (HFD). All experiments were approved by the Ethical Committee Experimental Animal Center of North Sichuan Medical College (NSMC2022023). After the failure cases during modeling were eliminated, the remaining mice were randomly divided into model group (T2DM), low dose [200 mg·kg^-1·d^-1] and high dose [300 mg·kg^-1·d^-1] PNS groups. Mice in normal and model groups were given equal amounts of normal saline by gavage. The mice were administered intragastrically with PNS for 6 weeks, and their body weight, food intake, water intake and fasting blood glucose (FBG) were measured weekly. Oral glucose tolerance test (OGTT) was performed at the 5th week of administration. The changes of liver functions and blood lipids were detected by collecting blood from eyeballs. Tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) levels were detected in the blood and the activity of glutathione peroxidase (GSH-Px), catalase (CAT) and superoxide dismutase (SOD) were analyzed in the liver by kit, respectively. Subsequently, the changes in plasma endogenous metabolites from each group were determined based on metabolomics, and the pathway enrichment analysis of differential metabolites was performed using KEGG database. NF-κB signaling pathway, TNF-α and IL-6 in liver were detected by western blot, respectively. The results showed that T2DM mice were successfully constructed. High dose of panax notoginseng saponins (HPNS) can reduce the FBG in T2DM mice while low dose of PNS (LPNS) has no significant effect on FBG. HPNS improves the liver function, reduces the levels of blood lipids, TNF-α and IL-6, and increases the activity of GSH-Px, CAT and SOD in liver of T2DM mice. Metabolomics results showed that 45 metabolites were significantly changed in the plasma of model group compared with control, and 20 metabolites were significantly changed after HPNS treatment. Pathway enrichment indicated that arachidonic acid metabolism, linoleic acid metabolism, glutathione metabolism and carnitine synthesis were changed in the blood of T2DM mice, and HPNS improved the abnormal metabolism of arachidonic acid and linoleic acid in T2DM mice. Western blot showed that HPNS could inhibit the NF-κB pathway and reduce the expression of TNF-α and IL-6 in the liver of T2DM mice, suggesting that PNS may exert the antidiabetic effect by inhibiting NF-κB pathway, regulating arachidonic acid and linoleic acid metabolism to reduce inflammatory factors and oxidative stress, improve liver function in T2DM mice.

Liver is the main organ of glucose and lipid metabolism, and persistent hyperglycemia is a common cause of liver injury. Panax notoginsenosides (PNS) is the main active ingredient in Panax notoginseng, which have anti-inflammatory and antioxidant effects. In this study, quantitative proteomics combined with experimental verification was used to explore the protective effect of PNS on liver injury in type 2 diabetes mellitus (T2DM) mice and its potential mechanism. All experiments were approved by the Ethical Committee Experimental Animal Center of North Sichuan Medical College (NSMC2022023). Hematoxylin-eosin (H&E) staining and transmission electron microscopy were used to observe the effect of PNS on the histopathological changes of liver in T2DM mice. TdT-mediated dUTP Nick-end labeling (TUNEL) staining was used to analyze the effect of PNS on hepatocyte apoptosis in T2DM mice. Reactive oxygen species (ROS) and malonaldehyde (MDA) kits were used to detect the effect of PNS on oxidative damage of liver in T2DM mice. Subsequently, proteomics profiling of mice in T2DM and T2DM+PNS groups were investigated based on quantitative proteomics. Differentially expressed proteins were screened out according to fold change and significance level in T2DM and T2DM+PNS groups, respectively. Pathway enrichment analysis of these differential proteins was done using GeneAnalytics database. Gene ontology analysis was conducted by Metascape database. Protein-protein interaction networks were constructed based on STRING database. Western blot was used to detect protein expression. These results showed that PNS could improve liver abnormalities, inhibit hepatocyte apoptosis, and improve the morphology of mitochondria and endoplasmic reticulum in T2DM mice. Proteome data demonstrated that 489 genes expression changed significantly in liver of T2DM mice compared with normal, and 42 ones were significantly reversed after PNS treatment and returned to normal levels. Pathway analysis showed that sterol hormone biosynthesis, adenosine 5′-monophosphate-activated protein kinase (AMPK) signaling pathway, oxidative stress, insulin signaling, phosphatidylinositol pathway, tumor necrosis factor-α (TNF-α) mediated inflammation, insulin resistance, and mTOR signaling pathway exhibited notable changes based on pathway enrichment ratio and significance level. It is worth noting that PNS could improve the abnormal changes of AMPK, TNF-α, apoptosis and insulin pathways. Western blot manifested that PNS inhibit the expression of Bax, Grp78 and Chop, reduce ratio of cleaved casp6/casp6, increase the levels of pAMPKα, HO-1 and Nu-Nrf2 in the liver of T2DM mice. These results suggested that PNS may play protective roles in the liver of T2DM mice by inhibiting apoptosis via activating AMPK/Nrf2/HO-1 signaling pathway, alleviating oxidative stress and endoplasmic reticulum stress.