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.

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*

OBJECTIVES: To explore the measures to improve the follow-up rate of preterm infants after discharge, and to evaluate the effectiveness of these measures using quality improvement methodology. METHODS: The follow-up status of preterm infants discharged from March to May 2017 was used as the baseline before quality improvement, and a specific quality improvement goal for the follow-up rate was proposed. The Pareto chart was used to analyze the causes of follow-up failure, and a key driver diagram was constructed based on the links involved in improving follow-up rate. The causes of failure were analyzed to determine the key links and intervention measures for quality improvement, and the follow-up rate was monitored weekly using a control chart until the quality improvement goal was achieved. RESULTS: The follow-up rate of preterm infants after discharge was 57.92% (117/202) at baseline before quality improvement, and the quality improvement goal was set to increase the follow-up rate of preterm infants from baseline to more than 80% within 12 months. The Pareto chart analysis showed that the main causes of follow-up failure were deficiencies in follow-up file management and irregular follow-up times (33.70%, 31/92), insufficient follow-up education and poor communication (25.00%, 23/92), and the inability to meet the diverse needs of parents (18.48%, 17/92). Based on the key links for quality improvement and the main causes of follow-up failure, the following intervention measures were adopted: (1) strengthen follow-up publicity and education; (2) build a follow-up team; and (3) establish a follow-up platform and system. The control chart indicated that with the implementation of the above intervention measures, the weekly follow-up rate increased to 74.09% (306/413) in July 2017 and 83.09% (511/615) in December 2017, finally achieving the quality improvement goal. During the COVID-19 pandemic, the follow-up rate of preterm infants fluctuated between 23.54% (460/1 954) and 70.97% (1 931/2 721), and subsequently, it returned to pre-pandemic levels starting in February 2023. CONCLUSIONS The application of quality improvement methodology can help to formulate intervention measures based on the main causes of follow-up failure, thereby improving the follow-up rate of preterm infants after discharge. This quality improvement method is feasible and practical and thus holds promise for clinical application.
Humans ; Quality Improvement ; Infant, Premature ; Infant, Newborn ; Patient Discharge ; Follow-Up Studies ; Female ; Male

OBJECTIVE: To investigate the relationship between peripheral blood T-cell immunoglobulin mucin-3 (TIM-3) and iron overload in patients with myelodysplastic syndrome (MDS) undergoing red blood cell transfusion. METHODS: 120 MDS patients who received treatment at Wuhan Third Hospital from June 2020 to May 2022 were included and analyzed as research subjects, all of whom met the indications for red blood cell transfusion. Blood routine and biochemical indicators were tested before transfusion, and general clinical data of the patients were statistically analyzed. The iron metabolism status of the patients were evaluated. The clinical characteristics of patients with iron overload and the factors affecting iron overload were analyzed. And a correlation analysis was conducted between TIM-3 and other factors affecting iron overload. RESULTS: Among the 120 MDS patients included in this study, 82 cases (68.33%) were detected to have iron overload after red blood cell transfusion. The occurrence time of iron overload was 20-42 weeks, with an average time of 32.35±5.26 weeks, calculated from the first transfusion of red blood cells. The proportion of patients with high-risk and extremely high-risk according to the revised International Prognostic Scoring System (IPSS-R) and WHO classification-based Prognostic Scoring System (WPSS), the volume of blood transfusions, the proportion of transfusion-dependent patients, and the levels of serum hepcidin (Hepc), erythropoietin (EPO), and TIM-3 in patients with iron overload were higher than those in patients with normal iron metabolism, and the differences were statistically significant (P < 0.05). Logistic regression analysis showed that high-risk and extremely high-risk according to WPSS, blood transfusion volume, transfusion dependence, and upregulation of serum Hepc, EPO, and TIM-3 expression were factors affecting iron overload in MDS patients undergoing red blood cell transfusion (P < 0.05). Pearson correlation analysis showed that serum TIM-3 level in MDS patients were positively correlated with the other factors affecting iron overload (P < 0.05). CONCLUSION Serum TIM-3 is associated with iron overload in MDS patients undergoing red blood cell transfusion, and upregulation of serum TIM-3 expression increases the risk of iron overload after red blood cell transfusion.
Humans ; Myelodysplastic Syndromes/blood* ; Iron Overload/blood* ; Hepatitis A Virus Cellular Receptor 2/blood* ; Erythrocyte Transfusion ; Male ; Female ; Middle Aged ; Aged ; Iron

Objective:To evaluate the clinical efficacy of Tianma Xionglin Zhixuan Tablets in treating hypertension patients with liver yang hyperactivity or comorbid phlegm-stasis syndrome and explore its therapeutic mechanisms through plasma metabolomics.Methods:Thirty-six hypertension patients(4 dropouts)diagnosed with liver yang hyperactivity or phlegm-stasis syndrome were enrolled as the treatment group from June 2022 to September 2023 at the First Affiliated Hospital of Hunan University of Chinese Medicine,while 30 healthy volunteers with balanced constitutions were recruited as the blank group.Plasma samples were collected from patients pre-and post-treatment and from healthy volunteers.Clinical outcomes,including syndrome scores,office blood pressure(BP),and 24-hour ambulatory BP,were recorded.Plasma metabolomic profiling was performed using liquid chromatography-mass spectrometry(LC-MS).Results:Compared with baseline,Tianma Xionglin Zhixuan Tablets significantly reduced traditional Chinese medicine syndrome scores(P＜0.01),office systolic/diastolic BP(P＜0.01),and 24-hour ambulatory BP parameters(24-hour mean BP,daytime/nighttime mean BP;all P＜0.01).Metabolomic analysis identified 45 differential metabolites between the blank group and pretreatment patients,and 64 metabolites altered post-treatment(VIP＞1,P＜0.05).Enrichment analysis of 16 overlapping endogenous metabolites revealed that Tianma Xionglin Zhixuan Tablets primarily modulated arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion:Tianma Xionglin Zhixuan Tablets demonstrates significant clinical efficacy in hypertension patients with liver yang hyperactivity or phlegm-stasis syndrome,potentially mediated through regulation of arachidonic acid and sphingolipid metabolism.

Objective:To evaluate the clinical efficacy of Tianma Xionglin Zhixuan Tablets in treating hypertension patients with liver yang hyperactivity or comorbid phlegm-stasis syndrome and explore its therapeutic mechanisms through plasma metabolomics.Methods:Thirty-six hypertension patients(4 dropouts)diagnosed with liver yang hyperactivity or phlegm-stasis syndrome were enrolled as the treatment group from June 2022 to September 2023 at the First Affiliated Hospital of Hunan University of Chinese Medicine,while 30 healthy volunteers with balanced constitutions were recruited as the blank group.Plasma samples were collected from patients pre-and post-treatment and from healthy volunteers.Clinical outcomes,including syndrome scores,office blood pressure(BP),and 24-hour ambulatory BP,were recorded.Plasma metabolomic profiling was performed using liquid chromatography-mass spectrometry(LC-MS).Results:Compared with baseline,Tianma Xionglin Zhixuan Tablets significantly reduced traditional Chinese medicine syndrome scores(P＜0.01),office systolic/diastolic BP(P＜0.01),and 24-hour ambulatory BP parameters(24-hour mean BP,daytime/nighttime mean BP;all P＜0.01).Metabolomic analysis identified 45 differential metabolites between the blank group and pretreatment patients,and 64 metabolites altered post-treatment(VIP＞1,P＜0.05).Enrichment analysis of 16 overlapping endogenous metabolites revealed that Tianma Xionglin Zhixuan Tablets primarily modulated arachidonic acid metabolism and sphingolipid metabolism pathways.Conclusion:Tianma Xionglin Zhixuan Tablets demonstrates significant clinical efficacy in hypertension patients with liver yang hyperactivity or phlegm-stasis syndrome,potentially mediated through regulation of arachidonic acid and sphingolipid metabolism.

Objective To investigate the relationship between single nucleotide polymorphisms(SNPs)in the eNOS gene and genetic susceptibility to systemic lupus erythematosus(SLE)in Hainan.Methods Blood samples were collected from SLE patients(SLE group,n=214)and healthy controls(control group,n=214)from January 2020 to December 2022 at the First Affiliated Hospital of Hainan Medical College and Hainan Provincial People's Hospital.The bases of eNOS gene rs3918188,rs1799983 and rs1007311 loci in each group were detected by SNaPshot sequencing technology.Logistic regression was used to analyze the correlation between genotypes,alleles and gene models(dominant model,recessive model,and overdominant model)of the above 3 target loci of the eNOS gene and genetic susceptibility to SLE.Haplotype analysis was conducted using HaploView 4.2 software to investigate the relationship between haploid and genetic susceptibility to SLE at each site.Results The results of logistic regression analysis revealed that the CC genotype and the C allele at rs3918188 locus were risk factors for genetic susceptibility to SLE(CC vs.AA:OR=2.449,P<0.05;C vs.A:OR=2.133,P<0.001).In recessive model at rs3918188 locus,CC genotype carriers had an increased risk of SLE development compared with AA+AC genotype carriers(OR=2.774,P<0.001).In contrast,in overdominant model at this locus,AC genotype carriers had a decreased risk of SLE occurrence compared with AA+CC genotype carriers(OR=0.385,P<0.001).In addition,polymorphisms of rs1799983 and rs1007311 were not associated with susceptibility to SLE in genotype,allele type and the 3 genetic models(P>0.05).Haplotype analysis revealed a strong linkage disequilibrium between the rs1007311 and rs1799983 loci of the eNOS gene,but no significant correlation was found between haplotype and genetic susceptibility to SLE(P>0.05).Conclusion The CC genotype and C allele at rs3918188 locus of eNOS gene may be risk factors for SLE in Hainan,while the risk of SLE occurrence is reduced in carriers of AC genotype under the overdominant model.

Objective:To investigate the effects of miR-217 on proliferation and adriamycin sensitivity of acute myeloid leukemia(AML)cells.Methods:The mimic NC and miR-217 mimic vectors were constructed and transfected into HL-60 cells,and transfection efficiency was detected by qPCR.The cells were treated with different concentrations of adriamycin for 24 h and 48 h.CCK-8 assay was used to detect the chemical sensitivity of adriamycin and screen the optimal concentration and time of adriamycin treatment.Cells were divided into control group,mimic NC group,miR-217 mimic group,adriamycin group and miR-217 mimic+adriamycin group.Apoptosis was detected by flow cytometry,and the expressions of miR-217,PI3K and Akt3 were detected by qPCR.Western blot was used to detect the expression of PI3K/Akt pathway proteins PI3K,Akt3 and apoptosis proteins Bcl-2,Bax,and double luciferase was used to verify the relationship between miR-217 and Akt3.Results:MiR-217 mimic could enhance the sensitivity of HL-60 cells to adriamycin.The optimal concentration and treatment time of adriamycin were 160 ng/ml and 48 h,respectively.Compared with control group,apoptosis rate,miR-217 and Bax protein levels were significantly increased in miR-217 mimic and adriamycin groups(P＜0.01),while Bcl-2 protein,PI3K,Akt3 mRNA and protein levels were significantly decreased(P＜0.01).Compared with adriamycin group,apoptosis rate,miR-217 and Bax protein levels were significantly increased in miR-217 mimic+adriamycin group(P＜0.01),while Bcl-2 protein,PI3K,Akt3 mRNA and protein levels were significantly decreased(P＜0.0 1).Dual luciferase assay showed that there was a targeted regulatory relationship between miR-217 and Akt3.Conclusion:MiR-217 regulates the PI3K/Akt pathway targeting Akt3,inhibits cell proliferation,promotes cell apoptosis and enhances the sensitivity of adriamycin to AML cells.

Aim To predict the potential mechanism of ophiopogonin D (OPD) against pulmonary fibrosis by network pharmacology, and further verify it by experiment in vivo. Methods This study found that ophiopogon was the most frequently used drug in the treatment of pulmonary fibrosis with deficiency of Qi and Yin through data mining. In order to explore its material basis, network pharmacology analysis was carried out. A model of pulmonary fibrosis was established by bleomycin, and different concentrations of ophiopogonin D were administered to verify the results of the pharmacological network. Results Firstly, through network pharmacology analysis, it was found that mitophagy might be the potential target for ophiopogon to exert anti-pulmonary fibrosis effect. Meanwhile, network topology analysis showed that OPD had the greatest relationship with mitophagy. Animal experiments showed that OPD could relieve pulmonary fibrosis and reduce collagen deposition in mice. At the same time, the detection of mitophagy related proteins showed that the compound could increase the expression of PINK1 and Parkin proteins, reduce the content of P62 protein in lung tissue, and reduce the intracellular ROS level. Conclusions OPD can improve mitochondrial function and play an anti-pulmonary fibrosis role by promoting PINKl/Parkin dependent mitophagy in lung tissue.