ObjectiveTo establish a reliable chronic obstructive pulmonary disease (COPD) mouse model based on a self-developed multichannel automatic control system for long-term continuous cigarette smoke exposure in small animals using a novel continuous cigarette smoke exposure method, and to conduct phenotypic evaluation and analysis, thereby providing an animal experimental basis for investigating COPD pathogenesis and prevention strategies. MethodsTwenty male C57BL/6J mice aged 6 weeks were randomly and equally divided into a control group and a model group. The model group (n=10) underwent 6 h of continuous cigarette smoke exposure daily (6 cigarettes per day for 12 consecutive weeks), while the control group (n=10) received no intervention. Body weight was monitored biweekly. Post-exposure, in vivo micro-CT imaging was performed. After euthanasia, serum and bronchoalveolar lavage fluid (BALF) levels of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were quantified by ELISA. Lung tissues underwent H&E and Masson's trichrome staining to observe changes in lung morphology and inflammatory cell infiltration, and the mean linear intercept (MLI) was calculated, thereby comprehensively evaluating the clinical features of COPD in the mouse model. ResultsCompared with the control group, the model group showed significantly reduced body weight (P<0.01) from the fourth week. Compared with the control group, IL-6 level in the serum and BALF of the model group increased by 27.2% and 140.0%, respectively (P<0.01). TNF-α level in the serum and bronchoalveolar lavage fluid of the model group increased by 16.7% (P<0.01) and 19.3% (P<0.05), respectively. Histopathological examination revealed alveolar wall thinning, septal rupture, emphysematous bullae formation, reduced alveolar count, bronchial wall thickening with lumen narrowing, and inflammatory cell infiltration. MLI was significantly elevated (P<0.01). Masson's staining confirmed collagen deposition and bronchial remodeling. Micro-CT demonstrated localized high-density shadows exhibiting typical features of chronic bronchitis. Conclusion The self-developed device enables long-term continuous smoke exposure, and the successfully established COPD mouse model exhibits pathological features highly consistent with clinical manifestations, offering an efficient and reliable tool for COPD research.

ObjectiveTo identify potential influencing factors of urate crystal deposition at ankle/foot in patients with hyperuricemia （HUA）， and to analyze the predictive value of inflammatory indicators for urate crystal deposition in patients with different traditional Chinese medicine （TCM） syndromes， so as to provide potential reference for clinical risk assessment and individualized TCM intervention. MethodsA retrospective study was carried out with the enrollment of 231 HUA patients from The Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine between January 2021 and December 2024. The enrolled patients were further divided into a crystal deposition-positive group （143 cases） and a crystal deposition-negative group （88 cases） according to the results of dual-energy computed tomography （CT）. Sociodemographic data， living habits， serum uric acid levels， and inflammatory indicators of the enrolled patients were collcted， and TCM syndrome differentiation was performed. Furthermore， univariate analysis was used to compare inter-group differences in clinical characteristics. MMultivariate Logistic regression was applied to identify the influencing factors of urate crystal deposition. In addition， the receiver operating characteristic （ROC） curves were plotted to evaluate the predictive efficacy of inflammatory indicators for crystal deposition across different TCM syndromes. ResultsThere were statistically significant inter-group differences in the proportion of males， age， body mass index， proportion of mental labor， rate of low water intake， and rate of high-sugar beverage consumption （P<0.05），whereas no significant difference in low exercise intensity was found between the two groups. Furthermore， compared with the negative group， the positive group had higher serum uric acid level， neutrophil-to-lymphocyte ratio （NLR）， and platelet-to-lymphocyte ratio （PLR）， but lower systemic immune-inflammation index （SIRI） （P<0.05）. Regarding the distribution of TCM syndromes， the positive group was dominated by the dampness-heat accumulation syndrome （55/143，38.46%）， while the negative group was mainly characterized by the phlegm-turbidity obstruction syndrome （44/88，50.00%）. Multivariate Logistic regression analysis revealed that high-sugar beverage consumption， elevated NLR， and elevated PLR were risk factors for urate crystal deposition ［odd ratio （OR） = 8.002， 5.377， 1.034， respectively； 95% CI 1.572-40.732， 2.179-13.270， 1.013-1.054，all P<0.05］， while SIRI was a protective factor （OR = 0.869， 95% CI 0.778-0.971， P<0.05）. In the positive group， patients with the dampness-heat accumulation syndrome exhibited the highest NLR， while the lowest PLR and SIRI， showing statistically significant differences with those of other syndromes （all P<0.05）. In addition， ROC curve analysis indicated that for the dampness-heat accumulation syndrome， the combined "NLR + PLR" model had an area under the curve （AUC） of 0.901 （95% CI 0.850-0.951， P<0.01）， with a sensitivity of 89.1% and a specificity of 79.5%； for the blood stasis-heat obstruction syndrome， the combined "NLR + PLR" model had an AUC of 0.880 （95% CI 0.825-0.934， P<0.01）， with a sensitivity of 100.0% and a specificity of 67.3%； for the liver-kidney Yin-deficiency syndrome， the single PLR model had an AUC of 0.842 （95% CI 0.731-0.952， P<0.01）， with a sensitivity of 83.3% and a specificity of 84.0%. ConclusionUrate crystal deposition in HUA patients exhibits intimate associations with high-sugar beverage consumption as well as elevated NLR and PLR levels. Meanwhile， TCM syndrome differentiation has potential correlation with inflammatory characteristics. The inflammatory indicator-based prediction model constructed based on TCM syndromes exhibits good predictive value.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

AIM:To evaluate the accuracy of a portable non-contact tonometer(PNCT)compared with a traditional non-contact tonometer(NCT)in measuring intraocular pressure(IOP)at different levels.METHODS:Patients who presented to Ningbo Eye Hospital between January 2025 and January 2026 were retrospectively included. All patients underwent measurements using PNCT, NCT, and Goldmann applanation tonometry(GAT). Based on the GAT measurements, the patients were categorized into a low IOP group(IOP≤16 mmHg), a moderate IOP group(16 mmHg0.05). Spearman correlation analysis revealed that the IOP values measured by both PNCT and NCT were positively correlated with those measured by GAT(rs=0.86 and 0.84, respectively, P<0.05). Intraclass correlation coefficient(ICC)analysis demonstrated an ICC of 0.89 between PNCT and GAT(P<0.05), and 0.88 between NCT and GAT(P<0.05), with an overall ICC of 0.88 among the three instruments(P<0.05). Bland-Altman analysis indicated a mean bias of 0.1 mmHg [95% limits of agreement(LoA): -7.3 to 7.6 mmHg] between PNCT and GAT, and a mean bias of 0.1 mmHg(95%LoA: -8.4 to 8.6 mmHg)between NCT and GAT. Based on the GAT measurements, the eyes were categorized into a low IOP group(60 eyes, 32.6%, IOP≤16 mmHg), a moderate IOP group(63 eyes, 34.2%, 16 mmHg0.05), whereas the difference between NCT and GAT showed a positive correlation with CCT(rs=0.23, P<0.05).CONCLUSION:The IOP measurements obtained by PNCT, NCT, and GAT demonstrated strong correlation and good agreement, with PNCT being less influenced by CCT. However, as IOP levels increased, the measurement errors of both PNCT and NCT also increased. Therefore, PNCT and NCT readings should only serve as references and cannot replace GAT.

ObjectiveTo analyze the impact of diabetes-related deaths on the probability of premature mortality and life expectancy in Minhang District of Shanghai from 2004 to 2023, and to provide reference data for the optimization of targeted prevention and control strategies. MethodsAll death cases involving diabetes among the registered residents of Minhang District from 2004 to 2023 were collected. The probability of premature mortality and life expectancy was computed using the abridged life table method. The average annual percent change (AAPC) was calculated with Joinpoint 4.9.0.0. The Arriaga decomposition method was employed for statistical analyses of the influence of cause-specific and age-specific mortality related to diabetes on life expectancy. ResultsThe total number of diabetes-related mortality, crude mortality, and standardized mortality for both males and females in Minhang District from 2004 to 2023 exhibited an increasing trend (P<0.001). The primary causes of death among diabetes-related cases were cardiovascular disease (37.68%), diabetes mellitus (31.95%), and malignant tumor (17.80%). From 2004 to 2023, probability of premature mortality to diabetes-related diseases demonstrated a rising trend (P<0.001), contrasting with the declining trend observed in the overall population (P=0.001). Males showed a significant upward trajectory (P<0.001), while females displayed a stable pattern. Among the diseases exerting considerable influence, cardiovascular disease and malignant tumor revealed a marked increase over time (P<0.001), whereas diabetes mellitus maintained a stable trend; both factors negatively impacted the reduction in probability of premature mortality. From 2004 to 2023, diabetes-related mortality reduced life expectancy among residents by an average of 1.22 years (-49.89%), indicating a negative impact; the reduction was 1.41 years in males and 0.90 years in females. The age groups exhibiting greater negative contributions differed by genders, namely males aged 50‒54 years and females aged 70‒74 years. Cardiovascular disease, diabetes mellitus, and malignant tumor contributed significantly to this decline (-0.46 years, -0.42 years, -0.20 years, respectively), with male experiencing higher negative contributions than females. ConclusionIn Minhang District, the rising mortality associated with diabetes-related diseases negatively impact both the reduction of the probability of premature mortality and the increase in life expectancy. This trend is primarily attributed to the rapid escalation of mortality and younger age demographic of male residents, which warrants significant attention. It is recommended that, based on the enhancement of case management, efforts should be directed towards the targeted prevention and control of risk factors and high-risk populations.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

With the increase in the obese population and the aging of the society,the incidence rates of type 2 diabetes mellitus(T2DM)and obstructive sleep apnea(OSA)continue to increase,and more than half of the patients with T2DM also suffer from OSA.T2DM patients with OSA have a higher risk of developing macrovascular and microvascular complications,which severely impairs their quality of life,and early identification of T2DM patients with OSA can improve their prognosis.This article summarizes the latest re-search advances in the pathogenesis,biomarkers,and treatment measures of T2DM with OSA,in order to provide insights for the screening,diagnosis,and treatment of T2DM with OSA.

Objective To investigate the fatigue and workload status among medical students,and to explore the latent profiles of fatigue and workload and their effects on sleep and emotion.Methods A cross-sectional study design with convenience sampling was employed to distribute a comprehensive survey via mixed online and offline modes,and medical college students were enrolled as the subjects for this investigation.The general demographic data,depression,anxiety and stress scale,Pittsburgh sleep quality index,Epworth sleepiness scale,insomnia severity index,National Aeronautics and Space Administration task load index(NASA-TLX)and fatigue scale-14(FS-14)were used to investigate the basic information of the medical students,their emotions(depression,anxiety and stress),sleep(sleep quality,sleepiness and insomnia),workload and fatigue status.Based on latent profile analysis,the types of workload-fatigue profiles and differences in sleep and emotion were analyzed.Results A total of 485 medical students were enrolled,with an average age of(22.07±2.42)years.The total score of the NASA-TLX was 64.44±12.50,and the total score of the FS-14 was 7.90±3.63.Latent profile analysis identified 3 distinct workload-fatigue profiles:low workload-medium fatigue group(12.8％),medium workload-low fatigue group(32.8％),and high workload-high fatigue group(54.4％).Among these,the medium workload-low fatigue group exhibited the highest performance level(all P＜0.05),while the low workload-medium fatigue group showed the lowest effort level and performance level(all P＜0.05).The high workload-high fatigue group showed the highest task-related demand and frustration level(all P＜0.05).Regarding sleep and emotional status,the medium workload-low fatigue group had significantly better outcomes compared to the high workload-high fatigue group and the low workload-medium fatigue group(all P＜0.05).Conclusion Medical students experience a heavy workload and subjective fatigue.It is essential to appropriately adjust their workload,prioritize sleep and emotional well-being,and alleviate fatigue levels,so as to sustain personal physical and mental health.

Objective To explore the related functional mechanism of Xihuang pill containing serum inter-vention in breast cancer cells based on microRNA(miR)21-5p targeting FAM13A gene.Methods Bioinfor-matics websites was used to predict potential miRNAs of FAM13A gene,double luciferase reporter experi-ments were conducted to verify the binding site relationship between FAM13A and predicted miRNAs.The Xihuang pill containing serum was prepared,and human breast cancer MDA-MB-231 cells were cultured.The proliferation of MDA-MB-231 cells was interfered by the Xihuang pill containing serum with different dilution ratios by CCK-8 test,and the best dilution ratio concentration of Xihuang pill containing serum to inhibit the proliferation of breast cancer cells was selected.Real time fluorescence quantitative PCR(RT-qPCR)was ap-plied to detect the relative expression levels of FAM13A mRNA,as well as the relative expression levels of miR21-5p,in MDA-MB-231 cells after intervention with Xihuang pill containing serum.Cell proliferation(Edu)assay and cell apoptosis detection(TUNEL)assay were used to detect the effects of Xihuang pill con-taining serum intervention on cell proliferation and apoptosis function in MDA-MB-231 cells.The siRNA lentiviral transfection on MDA-MB-231 cells was performed to knock down the FAM13A gene,and Edu assay and TUNEL assay were used to detect changes in proliferation and apoptosis ability of MDA-MB-231 cells af-ter lentiviral transfection.The expression level of miR21-5p in MDA-MB-231 cells after FAM13A gene knock-out was detected by RT-qPCR technology.Results Target Scan online website predicted the potential miR-21-5p binding sequence in the 3'UTR of FAM13A mRNA,and dual luciferase reporter assay confirmed the in-teraction between miR-21-5p and FAM13A.After intervention of MDA-MB-231 cells with Xihuang pill drug containing serum,RT-qPCR results showed that compared with the control group(NC group),the Xihuang pill drug containing serum group(XHW group)downregulated the expression levels of FAM13A mRNA(P＜0.05),and upregulated the expression level of miR21-5p(P＜0.05).Compared with the NC group,the XWH group showed reduced cell proliferation ability and promoted cell apoptosis.(P＜0.05).After silencing the FAM13A gene in MDA-MB-231 cells,compared with the control group(shCtrl group),the shFAM13A group showed a significant decrease in cell proliferation ability and promoted cell apoptosis.The RT-qPCR re-sults showed that compared with the shCtrl group,the expression level of miR21-5p was significantly upregu-lated in the shFAM13A group(P＜0.05).Conclusion Xihuang pill could participate in the anti-tumor treat-ment of breast cancer by regulating miR21-5p to affect the expression level of FAM13A gene.