Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors， thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage， and a corresponding dataset was established. The prediction task was formulated as a classification problem， and three ensemble learning models were developed： Random Forest， Extreme Gradient Boosting （XGBoost）， and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy， precision， recall， F1-score， and log-loss. Model interpretability was analyzed using Shapley Additive Explanations （SHAP）. RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance （accuracy＝0.75， F1-score＝0.48）， followed by XGBoost （accuracy＝0.74， F1-score＝0.43） and Random Forest （accuracy＝0.72， F1-score＝0.22）. SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide， with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature， high humidity， and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.

Traditional Chinese medicine(TCM) capable of clearing heat and removing toxin is most commonly used in clinical practice and has the effect of removing fire-heat and toxin. Studies have shown that most of the Ilex plants have the effect of clearing heat and removing toxin, among which the varieties of I. cornuta, I. pubescens, I. rotunda, I. latifolia, and I. chinensis are most widely used. These plants generally contain triterpenoids and their glycosides, alkaloids, flavonoids, phenylpropanoids, and other chemical components, especially pentacyclic triterpenoids. According to their skeletons, pentacyclic triterpenoids can be divided into the oleanane type, the ursane type, the lupinane type, etc. Among them, ursane-type components are the most abundant, and 136 species have been found so far. These components have been proved to have pharmacological effects such as anti-inflammatory, anti-tumor, hypolipidemic, anti-thrombosis, cardiomyocyte-protective, antibacterial, and hepatoprotective effects. Therefore, this paper systematically reviews the domestic and foreign literature on Ilex plants with a focus on the research progress on pentacyclic triterpenoids and their pharmacological activities, aiming to provide reference for the development of TCM resources with the effect of clearing heat and removing toxin.
Ilex/chemistry* ; Plants, Medicinal/chemistry* ; Pentacyclic Triterpenes/pharmacology* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Animals

OBJECTIVE: To analyze the serological and molecular biological characteristics of 5 patients with cis AB blood group, and to explore the safe transfusion strategy. METHODS: Serological identification of the samples' blood group was performed using anti-A, anti-B, anti-D, anti-A1, anti-H typing reagents and ABO reagent erythrocytes. Molecular biological identification of the samples' blood group was performed using PCR-SSP or gene sequencing. RESULTS: The serological identification results of blood group in 5 patients all showed inconsistent forward and reverse typing, presenting as A₂B₃ or A₂B_w. ABO gene sequencing of samples 1, 2 and 3 showed 261delG in exon 6 and 467C>T, 803G>C in exon 7. The genotypes of samples 1, 2 and 3 were determined to be cisAB/O . PCR-SSP genotyping was performed on sample 4 and 5，and the results were both cisAB/O . CONCLUSION Patients with cisAB alleles have inconsistent serological manifestations, and genetic testing is necessary to ensure the safety and effectiveness of blood transfusion.
Humans ; ABO Blood-Group System/genetics* ; Blood Transfusion ; Blood Grouping and Crossmatching ; Genotype ; Blood Group Antigens/genetics* ; Alleles ; Male ; Female

OBJECTIVES: To investigate the role of the calcium/calmodulin (CaM)-mediated activation of calcineurin (CN)-nuclear factor of activated T cells (NFAT) signaling pathway in mediating the regulatory effect of hyperforin (HY) on stress-induced depression-like disorder (DP) in mice. METHODS: C57BL/6J mice were randomly divided into control group, DP model group, and hyperforin treatment group (n=15). Behavioral changes of the mice were assessed using open field test (OFT), sucrose preference test (SPT), tail suspension test (TST), light/dark box test (LDB), and novel object suppression test (NSFT). Immunohistochemistry was used to detect tyrosine hydroxylase (TH) expression in the CA1 region of the hippocampus, and serum serotonin (5-HT) and norepinephrine (NA) levels were detected with ELISA. Western blotting was used to analyze the expressions of TNF-α, IL-1β, IL-2, and CN-NFAT pathway proteins. In cultured BV-2 microglial cells with lipopolysaccharide (LPS) stimulation, the effects of hyperforin and CN inhibitor (CNIS) on expressions of ionized calcium-binding adapter molecule 1 (IBA-1), 5-HT, NA, inflammatory cytokines and CN-NFAT pathway proteins were examined using immunofluorescence assay, ELISA or Western blotting. RESULTS: Compared with the control mice, the mice in DP group showed significantly reduced activity in OFT, decreased sucrose consumption in SPT, reduced shuttle crossing in LDB, and lowered food intake in NSFT with significantly increased immobility in TST. The mice with DP showed significantly decreased TH-positive neurons, lowered 5-HT and NA levels, and increased expressions of TNF-α, IL-1β, IL-2 and CaM-CN-NFAT pathway proteins. In cultured BV-2 cells, LPS stimulation strongly increased cellular IBA-1 expression, decreased the levels of neurotransmitters (5-HT and NA), and increased the levels of inflammatory cytokines and CN-NFAT signaling, and these changes were effectively reversed by treatment with hyperforin or CNIS. CONCLUSIONS Hyperforin improves stress-induced depression-like behaviors in mice and activated BV-2 cells by targeting the CN-NFAT signaling pathway.
Animals ; Mice, Inbred C57BL ; Mice ; Microglia/drug effects* ; Depression/etiology* ; Perylene/pharmacology* ; Calcineurin/metabolism* ; NFATC Transcription Factors/metabolism* ; Calcium Signaling/drug effects* ; Stress, Psychological ; Phloroglucinol/pharmacology* ; Signal Transduction ; Male ; Behavior, Animal/drug effects* ; Terpenes

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

Periodontal trauma refers to the pathological damage or abnormal alterations of periodontal tissue caused by a variety of factors, involving a complex physical-chemical-biological coupling mechanism. Its accurate diagnosis, evaluation, and repair are essential for the recovery of oral function and long-term prognosis. The traditional single technique cannot accurately reflect the status of periodontal tissue due to limitations such as incomplete mechanical characterization or missing biological information. Finite element analysis improves the accuracy of physical simulation through the development of a finite element constitutive model, multi-physics coupling, finite element dynamic analysis, and multi-scale modeling. Based on the molecular chemical composition and microenvironment information of periodontal tissue obtained by inelastic light scattering molecular vibration “fingerprinting,” Raman spectroscopy can be used to detect the conformational changes of collagen, mineralization gradient, and inflammatory molecular markers after trauma. Raman spectroscopy can detect microscopic damage earlier than traditional detection methods. The application of finite element analysis or Raman spectroscopy alone can only be used in physical simulation, such as stress-strain analysis or molecular chemical detection of periodontal tissue trauma, and its function is relatively limited. However, the combination of the two modalities combined with AI (artificial intelligence) can analyze the biomechanical mechanism, molecular pathological changes, and dynamic repair process of periodontal tissue trauma, and it has clinical application advantages such as early accurate diagnosis of disease and personalized treatment optimization. The combined application of finite element analysis and Raman spectroscopy in the study of periodontal trauma is still in its infancy; studies have experienced issues with multimodal data fusion, clinical validation, and a lag in real-time feedback. In future work, it will be necessary to combine AI to optimize the efficiency of models, break through disciplinary barriers, and focus on multi-scale data fusion and clinical application, and expand interdisciplinary technology integration. This article focuses on the research progress of finite element analysis, Raman spectroscopy, and their combined multimodal techniques in the application of periodontal tissue trauma, and proposes a type of finite element analysis-Raman spectroscopy multimodal technology supplemented with AI.

Objective To compare the technical indicators and clinical effect of catheter-directed thrombolysis(CDT)via two types of non-popliteal venous access in the treatment of acute mixed-type lower extremity deep vein thrombosis(DVT).Methods The clinical data of 119 patients with acute mixed-type lower extremity DVT,who were admitted to the Affiliated Jiangning Hospital of Nanjing Medical University and the Affiliated Nanjing Hospital of Nanjing Medical University of China to receive CDT treatment from January 2016 to June 2022,were retrospectively analyzed.Of the 119 patients,CDT via deep calf vein access was carries out in 45(calf vein group)and CDT via healthy-side femoral venous access was performed in 74(femoral vein group).The success rate of vascular puncture,success rate of catheterization technique,number of successful CDT venous puncturing,time spent for sheath placement,time spent for catheterization,thrombolysis time,used amount of thrombolytic agent and associated complications(including vein puncturing and anticoagulant thrombolysis-related complications),the thrombolytic effect of different anatomical segments,and the clinical efficacy during the follow-up period for at least 12 months were compared between the two groups.Results Successful catheterization via deep calf vein access and via healthy-side femoral vein access was obtained in 31 and 58 CDT patients respectively,with a technical success rate of 68.89％(31/45)and 78.38％(58/74)respectively,the difference between the two groups was not statistically significant(P=0.248).In 26 patients(67.74％)of the calf vein group,more than two times of puncturing were needed before the sheath placement could be successfully achieved.The time spent for sheath placement in the femoral vein group was(1.84±0.87)min,which was remarkably shorter than(10.52+6.13)min in the calf vein group(P＜0.001),but the time spent for catheterization in the femoral vein group was(41.60±13.31)min,which was obviously longer than(20.06+4.46)min in the calf vein group(P＜0.001).The thrombolysis time in the femoral vein group and the calf vein group was(5.34+1.43)days and(5.06±1.18)days respectively(P=0.354),and the used amount of thrombolytic agent in the femoral vein group was(352.16±71.98)×104 U,which was prominently larger than(284.68±77.64)× 104 U in the calf vein group(P＜0.001).The last follow-up check showed that the patency rate of the popliteal vein in the calf vein group was significantly higher than that in the femoral vein group(P=0.037).No statistically significant differences in the incidence of post-thrombotic syndrome(PTS)and the mean VEINES-QOL/Sym scores existed between the two groups(all P＞0.05).Conclusion Compared with CDT via healthy-side femoral vein access,CDT via deep calf vein access can better remove the thrombus in the popliteal vein and superficial femoral vein,and improve the femoropopliteal vein patency rate,although it has no obvious advantages in reducing the occurrence of PTS and in improving the VEINES-QOL/Sym score,moreover,the deep calf vein puncture and sheath placement require a high-level technique.

Objective To investigate the clinical manifestations of traditional Chinese medicine(TCM)and their associations with TCM constitutions in individuals who have migrated to plateau areas,and to provide a scientific basis for plateau health management.Methods Migrants living in areas above 3000 m were selected as research subjects.Data were collected by using TCM symptom assessment scales and constitution assessment scales.Descriptive statistical analysis was conducted to determine the incidence and severity of symptoms among individuals with different migration durations,and core symptoms were identified.Factor analysis was performed by using SPSS software to extract symptom clusters and explore the correlation between core symptoms and TCM constitutions.Results Among individuals who migrated to plateau areas,the incidence of discomfort symptoms was 83.44％.The five most common symptoms were dry skin(67.94％),forgetfulness(56.03％),dry mouth(52.06％),yellow urine(48.73％),and insomnia(47.14％).In the top 10 symptoms with the highest increase in incidence,yellow urine(33.51％)and forgetfulness(26.33％)were both present in the top 10 symptoms across different migration durations.Factor analysis extracted 5,2,4,and 6 symptom clusters from the overall population,individuals who migrated within 1 year,those who migrated for 1-2 years,and those who migrated over 2 years,respectively.Qi-deficiency constitution(QDC),blood stasis constitution(BSC),qi stagnation constitution(QSC),phlegm-dampness constitution(PDC),and dampness-heat constitution(DHC)were significantly positively correlated with forgetfulness.Conclusion Migrating to plateau areas can induce discomfort symptoms,and both the number and incidence of symptoms increase with longer migration durations.The number and incidence of high-frequency symptoms(incidence≥30％)increase with prolonged migration time.There are differences in the composition and severity of symptom clusters across different migration durations.QDC,BSC,QSC,PDC,and DHC are closely related to forgetfulness and can be considered risk constitutions for forgetfulness.Timely attention to changes in symptom clusters and constitutions can help prevent and mitigate the occurrence and development of symptoms.

A high-throughput three-dimensional (3D) hepatocyte culture model is constructed in this study. It is capable of replicating the 3D in vivo environment and offers the advantages of high throughput, enhanced reproducibility, low cost, and simplified operation, rendering a valuable tool for hepatotoxicity screening of traditional Chinese medicine (TCM). First, we constructed the 3D high throughput liver chip model using collagen hydrogel. The precision and its difference with traditional cell culture plates were assessed using acetaminophen, Tripterygium hypoglaucum, and Qili San as the references. The feasibility of this model was also investigated by comparing the hepatotoxicity among four batches of T. hypoglaucum and Qili San. The methodology verification shows that the 3D hepatocyte model is better than traditional two-dimensional (2D) cell culture model in precision and feasibility. Subsequently, we compared the hepatotoxicity of different samples over a period of three or seven days and found that the hepatotoxicity of TCM extracts increased over time. Finally, we compared the hepatotoxicity of T. hypoglaucum and its compound formula Kunxian capsule under equivalent concentration. The results showed that the compound Kunxian capsule could significantly reduce hepatotoxicity of T. hypoglaucum. Generally, we constructed a high-throughput, robust 3D liver-on-a-chip model with the potential of rapid assessing TCM-induced liver toxicity.