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Cuproptosis, a newly identified form of programmed cell death, plays vital roles in tumorigenesis. However, the interconnectivity of cuproptosis and ferroptosis is poorly understood. In our study, we explored genomic alterations in 1162 lung adenocarcinoma (LUAD) samples from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) cohort to comprehensively evaluate the cuproptosis regulators. We systematically performed a pancancer genomic analysis by depicting the molecular correlations between the cuproptosis and ferroptosis regulators in 33 cancer types, indicating cross-talk between cuproptosis and ferroptosis regulators at the multiomic level. We successfully identified three distinct clusters based on cuproptosis and ferroptosis regulators, termed CuFeclusters, as well as the three distinct cuproptosis/ferroptosis gene subsets. The tumor microenvironment cell-infiltrating characteristics of three CuFeclusters were highly consistent with the three immune phenotypes of tumors. Furthermore, a CuFescore was constructed and validated to predict the cuproptosis/ferroptosis pathways in individuals and the response to chemotherapeutic drugs and immunotherapy. The CuFescore was significantly associated with the expression of miRNA and the regulation of post-transcription. Thus, our research established an applied scoring scheme, based on the regulators of cuproptosis/ferroptosis to identify LUAD patients who are candidates for immunotherapy and to predict patient sensitivity to chemotherapeutic drugs.

Recent studies focused on the ecological characteristics, heritage conservation, and economic benefits of kiln architecture, with most studies emphasizing structural analysis while neglecting the interaction mechanisms between architecture and ecological environment. Based on constructing ecologicality-architecture-cultural resilience theory, this study analyzes the structural features, ecological technologies, and conservation status of kiln architecture across various regions in China through KH Coder data mining and hierarchical event coding method and proposes a new protective framework. Findings: (1) Kiln architecture has evolved from built-against-the-mountain to semi-buried, fully-buried, reinforced earth-covered, and independent forms, as functional demands have changed from hazard avoidance to climate adaptability, functional expansion, and energy-saving design; (2) Climate, topography, and soil conditions are key factors driving the emergence of built-against-the-mountain, along-the-valley, sunken courtyard, and independent kiln architecture types; (3) Geological characteristics and material availability significantly shape the vaulted structural features of kiln architecture across different regions. Cultural archaeology and technological advancement have formed the main trajectory of cave dwelling environment development, promoting functional transformation and ecological planning. Meanwhile, political-oriented have acted as a secondary trajectory, advancing the standardization of construction techniques. The results confirm the decisive role of the natural environment in shaping the forms and variations of kiln architecture.

Objective: This research focused on exploring the shared pathophysiological bases of lung adenocarcinoma (LUAD) and Type 2 diabetes mellitus (T2DM). Methods: The investigation into the molecular similarities between LUAD and T2DM involved querying the Gene Expression Omnibus for pertinent data. Upon pinpointing genes exhibiting differential expression, pathway enrichment analyses were executed to discern the molecular pathways shared by both conditions. In addition, GeneMANIA was employed to establish a protein interaction network, pinpointing STK26 as a critical gene. In addition, the influence of STK26 on the immune environment of the tumor was examined using tools such as the Microenvironment Cell Populations–counter to assess levels of stromal and immune cells in cancer tissues from expression profiles. Furthermore, a lung cancer cell model enriched in glucose was developed to facilitate the knockdown of STK26 using small interfering RNA. The influence of STK26 on A549 cell functionality was assessed using CCK‐8, wound healing (scratch), and colony formation (cloning) assays. Results: This will help ensure accuracy and relevance in the revised version. TGF‐ β , HIF‐1, AGE–RAGE, extracellular matrix (ECM) components and function regulation, and cell adhesion were activated in LUAD and T2DM. WGCNA identified two main modules in LUAD, three main modules in T2DM, and 44 shared genes. ClueGO and GeneMANIA analyses focused on pathways regulating cell growth and mitosis. Our analysis revealed STK26 as a central gene that exhibits elevated expression levels in tissues affected by LUAD. Elevated expression of STK26 correlates with a diminished prognosis for LUAD patients. In patients with LUAD characterized by elevated STK26 levels, gene set enrichment analysis identified a notable upregulation in numerous metabolic pathways. These include glycolysis–gluconeogenesis, oxidative phosphorylation, and the conversion pathways between pentose and glucuronic acid, as well as the pentose phosphate pathway. Gene set variation analysis suggested that a high STK26 expression was related to glycolysis, hypoxia, MYC, oxidative phosphorylation, cell cycle, and citric acid cycle pathways. In the group exhibiting elevated levels of STK26, a marked upregulation of glycolytic pathway genes, including HK2, RPIA, IDH3G, and SORD, was noted. This upregulation indicates a correlation between STK26 expression and these pivotal glycolytic genes. MCP–counter analysis suggested that the group with a high STK26 expression level had reduced immune infiltration. Laboratory studies have demonstrated that LUAD cells thrive in a high‐glucose setting, where STK26 expression notably surpasses that observed under standard conditions. In addition, suppressing STK26 using siRNA significantly curtails both the growth and movement of LUAD cells. Conclusion: The research established a shared pathogenic basis between LUAD and T2DM. TGF‐ β , HIF‐1, AGE–RAGE, ECM components and function regulation, cell adhesion, and additional signaling pathways are intricately linked with the pathophysiological mechanisms underlying both LUAD and T2DM. Thus, STK26 may affect the development of LUAD and T2DM by regulating glucose metabolism. Suppressing STK26 in a glucose‐rich setting curtailed both the expansion and mobility of LUAD cells.

Background. Acute ST-elevation myocardial infarction (STEMI) is a common clinical critical illness, and accurate, reliable, simple, and easy-to-remember tools are needed in clinical practice to quickly identify the risk of this condition in STEMI patients. This study investigates the predictive value of the admission CHA2DS2-VASc score for in-hospital MACE in STEMI patients. Methods. A total of 210 STEMI patients who visited the Chest Pain Center of the Second People‘s Hospital of Hefei from December 2019 to December 2021 were retrospectively analyzed. They were divided into MACE and non-MACE groups. The receiver operating characteristic curve (ROC) was used to assess the predictive value of the CHA2DS2-VASc score for MACE events during hospitalization. Results. The CHA2DS2-VASc score was higher in the MACE group than in the non-MACE group (P<0.05), and multivariate logistic regression analysis showed that the CHA2DS2-VASc score was an independent risk factor for MACE events during hospitalization in STEMI patients (OR = 1.391, 95%CI 1.044–1.853, P=0.024); ROC curve analysis showed that the area under the curve (AUC) of the CHA2DS2-VASc score was 0.744, the sensitivity was 0.64, the specificity was 0.694, and the optimal cutoff value was 3.5 in predicting the risk of MACE events during hospitalization in STEMI patients. There were no significant differences between the GRACE score (0.744 VS.0.827) and TIMI score (0.744VS.0.745) (P>0.05). Conclusion. The CHA2DS2-VASc score can successfully predict the occurrence of in-hospital MACE events in STEMI patients.

Objective To evaluate the current treatment status and management deficiencies of adenomyosis in Luzhou, China. Materials and methods A small-scale observational cross-sectional study of patients whose imaging suggests adenomyosis from July 2018 to February 2022 at a teaching hospital in Luzhou, China. All participants (1542 patients) completed a questionnaire of 14 items, including basic information, symptoms, treatment options, outcomes, and costs. The patients’ treatment options and the hysterectomy rate were evaluated. Results The treatment options of hormone agents included combined oral contraceptive pills (COCs), gonadotropin-releasing hormone analogues (GnRH-a), levonorgestrel-releasing intrauterine system (LNG-IUS), and dienogest for 2.07, 46.04, 63.49, and 4.67% of patients, respectively. The treatment options under uterus-sparing surgery included adenomyectomy and high-intensity focused ultrasound (HIFU) treatment, presenting in 3.76 and 33.27% of patients, respectively. Finally, 458 (29.70%) patients chose a hysterectomy. The hysterectomy rate between the hormone and uterus-sparing surgery sequential hormone groups (surgery group) was not significantly different (14.8 vs. 12.7%, χ2 = 0.344, P  > 0.05). However, for the focal type and patients with > 24 months delayed treatment interval, the hysterectomy rate of the hormone group was significantly higher than that of the surgery group (8.5% vs. 1.3%, χ2 = 11.722, P  < 0.01 and 26.7% vs. 18.5%, χ2 = 4.906, P  < 0.05, respectively). Conclusions There were treatment delays and treatment selection bias in managing adenomyosis in Luzhou, China. Popular science education and early individualized hormone therapy are needed. Uterine-sparing surgery should be carefully selected.

This study explores the interaction between spatial configuration, natural mobility, and visual accessibility in exhibition spaces, an area that remains underexplored. By integrating visibility graph analysis (VGA), intelligent agent simulation (IAS), topological analysis, and field observation, the research examines functional layout and accessibility across four museums. Findings indicate that corridors and pathways, second only to exhibition halls, play a crucial role in spatial mobility. Composite layouts (e.g., circular and L-shaped designs) exhibit superior mean depth and integration, yet connectivity and mean depth demonstrate a nonlinear relationship. Elongated or complex path turns increase cognitive load, complicating navigation, while open passageways promote smoother visitor distribution. Topological analysis effectively identifies optimal nodes, key locations, and path-turn efficiency under accessibility constraints. Visitor dwell time is shaped not only by exhibit content but also by spatial location, entry sequence, and visitor density. Results support the assumption that space syntax models align with real-world visitor flow patterns, yet predictive models fail to fully capture variations in mobility across different timeframes and behavioral contexts. These insights contribute to optimizing museum design for improved visitor experience and spatial efficiency.

Growing evidence suggests the crucial role of microRNAs (miRNAs) in regulating basic cell functions, and therefore participating in the pathologic development of diverse human diseases, including cardiac hypertrophy. Herein, we explained that miR4458 was distinctly stimulated in Ang II-stimulated hypertrophic H9c2 cells. Intriguingly, miR-4458 inhibition led to exacerbated hypertrophic pheno types in Ang II-treated H9c2 cells. In addition, the compensatory upregulation of miR-4458 in Ang II-treated H9c2 cells was ascribed to its transcriptional enhancement by NRF1, a transcription factor previously identified to be activated in early cardiac hypertrophy. Moreover, we discovered that miR-4458 served as a negative modulator in cardiac hypertrophy by prompting TFAM, a well-recognized myocardial protective protein. TTP, a RBP that always leads to degradation of recognized mRNAs, was predicted to interact with both miR-4458 and TFAM mRNA. Importantly, we verified that miR-4458 facilitated TFAM expression in cardiomyocytes by directly targeting TTP and releasing TTP-destabilized TFAM mRNA. On the whole, these findings demonstrated that NRF1-induced miR-4458 boosted TFAM via targeting TTP to dampen the exacerbation of cardiac hypertrophy, which indicates miR-4458 as a promising biomarker for the cardiac hypertrophy treatment.

Background. Acute ST-segment elevation myocardial infarction (STEMI) is a serious cardiovascular disease that poses a great threat to the life and health of patients. Therefore, early diagnosis is important for STEMI patient treatment and prognosis. The purpose of this study was to investigate the value of serum YKL-40 and TNF-α in the diagnosis of STEMI. Methods. From October 2020 to February 2022, 120 patients with STEMI were admitted to the Chest Pain Center of the Second People’s Hospital of Hefei, and 81 patients with negative coronary angiography were selected as the control group. Serum YKL-40 and TNF-α concentrations were measured by sandwich ELISA. Pearson correlation was used to analyze the correlation between serum YKL-40, TNF-α, and serum troponin I (cTnI) in STEMI patients; multivariate logistic regression analysis was used to screen independent risk factors for STEMI. Three diagnostic models were constructed: cTnI univariate model (model A), combined serum YKL-40 and TNF-α model other than cTnI (model B), and combined cTnI and serum YKL-40 and TNF-α model (model C). We assessed the clinical usefulness of the diagnostic model by comparing AUC with decision curve analysis (DCA). Results. Serum YKL-40 and TNF-α in the STEMI group were significantly higher than those in the control group (P<0.001). On Pearson correlation analysis, there was a significant positive correlation between serum YKL-40, TNF-α, and cTnI levels in STEMI patients. Multivariate logistic regression analysis showed that serum YKL-40 and TNF-α were independent risk factors for the development of STEMI. The results of ROC analysis showed that the area under the curve (AUC) of serum YKL-40 for predicting the occurrence of STEMI was 0.704. The AUC of serum TNF-α for predicting the occurrence of STEMI was 0.852. The AUC of cTnI as a traditional model, model A, for predicting the occurrence of STEMI was 0.875. Model B predicted STEMI with an AUC of 0.851. The addition of serum YKL-40 and serum TNF-α to the traditional diagnostic model composed of cTnI constituted a new diagnostic model; that is, the AUC of model C for predicting the occurrence of STEMI was 0.930. Model C had a better net benefit between a threshold probability of 70–95% for DCA. Conclusion. In this study, we demonstrate the utility of serum YKL-40 and TNF-α as diagnostic markers for STEMI and the clinical utility of diagnostic models by combining serum YKL-40 and TNF-α with cTnI.

Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin lymphoma (NHL) and is a clinical, pathological, and molecular heterogeneous disease with highly variable clinical outcomes. Currently, valid prognostic biomarkers in DLBCL are still lacking. To optimize targeted therapy and improve the prognosis of DLBCL, the performance of proposed biomarkers needs to be evaluated in multiple cohorts, and new biomarkers need to be investigated in large datasets. Here, we developed a consensus Online Survival analysis web server for Diffuse Large B‐Cell Lymphoma, abbreviated OSdlbcl, to assess the prognostic value of individual gene. To build OSdlbcl, we collected 1100 samples with gene expression profiles and clinical follow‐up information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. In addition, DNA mutation data were also collected from the TCGA database. Overall survival (OS), progression‐free survival (PFS), disease‐specific survival (DSS), disease‐free interval (DFI), and progression‐free interval (PFI) are important endpoints to reflect the survival rate in OSdlbcl. Moreover, clinical features were integrated into OSdlbcl to allow data stratifications according to the user's special needs. By inputting an official gene symbol and selecting desired criteria, the survival analysis results can be graphically presented by the Kaplan‐Meier (KM) plot with hazard ratio (HR) and log‐rank p value. As a proof‐of‐concept demonstration, the prognostic value of 23 previously reported survival associated biomarkers, such as transcription factors FOXP1 and BCL2, was evaluated in OSdlbcl and found to be significantly associated with survival as reported (HR = 1.73, P < .01; HR = 1.47, P = .03, respectively). In conclusion, OSdlbcl is a new web server that integrates public gene expression, gene mutation data, and clinical follow‐up information to provide prognosis evaluations for biomarker development for DLBCL. The OSdlbcl web server is available at https://bioinfo.henu.edu.cn/DLBCL/DLBCLList.jsp. To assess and identify appropriate prognostic biomarkers for diffuse large B‐cell lymphoma, we integrated public gene expression data and clinical follow‐up information and developed the consensus online survival analysis web server OSdlbcl for researchers and clinicians.

Since 2019, the application of digital technology (DT) in cultural heritage conservation (CHC) has transitioned through various phases: from structural prediction and maintenance, to parametric modeling workflows, to collaborative heritage management and assessment, and finally to the integration of technologies and new applications across interdisciplinary fields. What development trends can be observed in the application of DT to CHC in recent years? What difficulties and challenges does it face? Recent studies have primarily focused on technology-driven approaches, but there is a lack of systematic reviews on the current state of research, application progress, and development trends. This paper addresses these research gaps by utilizing bibliometric techniques, including trend analysis through yearly publication and citation line graphs, mapping with visual tools, subject categorization and distribution statistics, co-authorship and keyword-based biclustering, keyword frequency analysis, thematic co-occurrence networks, and content analysis of key articles. A scientometric analysis, conducted using COOC 6.725 and VOS Viewer, applied a Boolean search strategy to filter 345 articles from the Web of Science Core Collection, covering the period from 2019 to 2024. The document types analyzed include articles, reviews, and conference proceedings, all in the English language. The objectives of this paper are to: (1) summarize progressive research trends; (2) analyze interdisciplinary integration; (3) map out author collaboration networks; (4) explore the application potential of DT; (5) reveal cutting-edge topics; and (6) investigate focal issues. Lastly, this paper discusses ethical and social responsibility concerns in DT applications, particularly the challenges related to technology accessibility and data protection. With the rapid development of AI and DT, DT is expected to demonstrate even greater potential and value in CHC.