Prognostic value of FIB-4 and NFS for cardiovascular events in patients with and without NAFLD.

Background: The association between non-alcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD) is well studied. Liver fibrosis is the main histopathologic manifestations of NAFLD. However, whether concomitant NAFLD influence the association of non-invasive liver fibrosis scores with CVD remains unclear.

Artemisinin synergizes with CCCP in autophagic cell death induction via ER stress in uveal melanoma.

Uveal melanoma (UM) is the most common primary intraocular malignancy in adults, and it is associated with a poor prognosis due to the lack of effective targeted therapies. Artemisinin (ARS), a widely used antimalarial drug, has demonstrated anti-tumor effects in several types of cancer, including UM. However, these effects are primarily observed at high concentrations, which restricts its broader use.

Association between depression and health care expenditure in middle-aged and older patients with heart disease.

Objective: Patients with heart disease frequently experience a heightened incidence of depression, thereby affecting their overall medical expenditures. Nevertheless, earlier investigations have focused on the healthcare costs incurred by individual patients with heart disease or those with depression. The present study assessed the correlation between depression and the medical expenditures of patients with heart disease, highlighting the importance of mental health care for patients with with heart disease.

Comparison of the rare earth element trophodynamics between freshwater and coastal species from the upper Yellow River to estuary: Insights into health risk.

Rare earth elements (REEs) are currently considered as contaminants of emerging concern, but their residual levels and trophic transfer in aquatic species and potential health risks are not fully characterized. This study compared the distribution patterns and trophodynamics of 15 REEs in the wild species of the Yellow River and adjacent Laizhou Bay of northern China. The daily intake of REEs through consuming aquatic products for Chinese residents was also estimated.

L-3-[F]-Fluoro-α-Methyl Tyrosine as a PET Tracer for Tumor Diagnosis: A Systematic Review from Mechanisms to Clinical Applications.

L-3-[F]-fluoro-α-methyl tyrosine ([F]FAMT) is an amino acid positron emission tomography (PET) tracer with high specificity for malignant tumors through its selective transport via L-type amino acid transporter (LAT) 1. Although extensively studied for its diagnostic performance, a comprehensive review of its molecular and clinical characteristics remains lacking. A systematic literature review (1997-2025) was conducted using PubMed and Web of Science, with keywords including "L-3-[F]-fluoro-α-methyl tyrosine", "[F]FAMT", "amino acid PET", and "tumor imaging".

Diagnostic value of palpation and ultrasonography in detecting regional lymph node metastasis of eyelid sebaceous carcinoma: a decade cohort study.

Background/aims: Regional lymph node metastasis is the primary cause of disease progression in patients with eyelid sebaceous carcinoma (SC). This study aims to investigate the diagnostic accuracy of palpation and ultrasonography for detecting lymph node metastasis, as well as to identify risk factors associated with occult lymph node metastasis.

Method: This diagnostic study was conducted using a retrospective cohort of 102 patients with 120 eyelid SC tumours.

Interaction between mitochondrial oxidative stress and myocardial fibrosis in the context of diabetes.

Diabetes represents a global chronic health issue and has emerged as a crucial risk factor for cardiovascular diseases (CVD). Myocardial fibrosis (MF), which often accompanies diabetes, plays a pivotal role in the progression of cardiac dysfunction and heart failure (HF). Recent research has highlighted mitochondrial oxidative stress (OS) as a fundamental mechanism driving MF in diabetic conditions.

Defective RuO Nanospheres Attenuate Osteoarthritis Progression via Suppressing the ROS/NLRP3/Caspase-1 Signaling Pathway.

Osteoarthritis (OA) is the most prevalent degenerative joint disorder, characterized by chronic inflammation, cartilage degeneration, and the formation of osteophytes, which leads to serious economic and social challenges. Previous studies have demonstrated that oxidative stress-driven inflammation plays a crucial role in the pathophysiological progression of OA. In this study, we presented defective RuO (d-RuO) as an effective antioxidant for the treatment of OA.

Diminished MYCN Dosage Endows Cavitary Transformation in Retinoblastoma.

Objective: Cavitary retinoblastoma (CRB) represents a unique variant of retinoblastoma (RB) distinguished by the presence of translucent cavities, which are discernible through ophthalmoscopic examination. The present study was designed to elucidate the clinical implications and molecular signatures of CRB, thereby enhancing our understanding of this distinct subtype of RB.

Design: A multicentric, nested case-control, retrospective cohort study combining spatial proteomic analysis.

Ruthenium Oxide Nanozyme for Tendinopathy Treatment via Countering Ferroptosis.

The global prevalence of tendinopathy (TP) is steadily increasing, resulting in functional impairments in tendons across individuals of all ages. Excessive accumulation of reactive oxygen species (ROS) plays a pivotal role in the development of TP, which compromises tendon repair and integrity through oxidative stress. This process is often accompanied by ferroptosis-a newly recognized form of iron-dependent programmed cell death.

ENGDM: Enhanced Non-Isotropic Gaussian Diffusion Model for Progressive Image Editing.

Diffusion models have made remarkable progress in image generation, leading to advancements in the field of image editing. However, balancing editability with faithfulness remains a significant challenge. Motivated by the fact that more novel content will be generated when larger variance noise is applied to the image, in this paper, we propose an Enhanced Non-isotropic Gaussian Diffusion Model (ENGDM) for progressive image editing, which introduces independent Gaussian noise with varying variances to each pixel based on its editing needs.

Lactylation-boosted polycomb repression of KLF4 elicits glycolysis in retinoblastoma: A positive feedback circuit between histone modifications.

The perturbation of histone modification homeostasis is a hallmark of oncogene activation and tumor suppressor gene silencing. Howbeit, the intricate interplay among diverse histone modifications in the context of tumorigenesis is not fully understood. Herein, we unveil a positive feedback mechanism involving lactylation and methylation of histones, which is instrumental in the oncogenic progression of retinoblastoma.

Overlapping Community Detection in Vehicular Social Networks Based on Graph Attention Autoencoder.

Community detection is particularly important in vehicular social networks because it helps identify closely connected groups of vehicles within the network. Community structures with overlapping relationships are identified through network topology and vehicle attribute information, thereby optimizing communication efficiency, supporting resource allocation, and enhancing privacy protection. However, most existing community detection methods focus on non-overlapping communities, usually only considering the topological structure of the network, and often ignoring the attribute information of nodes.

Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration.

Unified, or more formally, all-in-one image restoration has emerged as a practical and promising low-level vision task for real-world applications. In this context, the key issue lies in how to deal with different types of degraded images simultaneously. Existing methods fit joint regression models over multi-domain degraded-clean image pairs of different degradations.

A Partial Discharge Detection Approach in Distribution Cabinets Using a Mach-Zehnder Interferometer.

Distribution cabinets are of paramount importance in power supply systems. Internal partial discharge may result in power interruption or even the outbreak of fire. This paper proposes a partial discharge (PD) detection approach based on a fiber-optic Mach-Zehnder interferometer (MZI).

How Advanced Is Nanomedicine for Atherosclerosis?

Advances in nanotechnology have opened new avenues for precision therapy, personalized medicine, and multifunctional theranostics in atherosclerosis (AS). This review provides a comprehensive overview of the role of nanoparticles (NPs) in precision medicine for AS, discussing their applications, challenges, and future prospects. The review first analyzes the current treatment landscape of AS and outlines potential biological targets for therapy.

Synergistic Effect of the CHADS-VASc Score and Left Atrial Epicardial Adipose Tissue Volume on Predicting Atrial Fibrillation Recurrence After Ablation.

Objective: The CHADS-VASc score and left atrial epicardial adipose tissue (LA-EAT) volume have been identified as potential risk factors for atrial fibrillation (AF) recurrence after ablation. However, there is currently a lack of research specifically examining the interaction between these two AF risk factors. This study aims to evaluate the predictive potential of combining CHADS-VASc score and LA-EAT volume in predicting recurrence in patients with AF who undergo ablation.

CLEAR: Multimodal Human Activity Recognition via Contrastive Learning Based Feature Extraction Refinement.

Human activity recognition (HAR) has become a crucial research area for many applications, such as Healthcare, surveillance, etc. With the development of artificial intelligence (AI) and Internet of Things (IoT), sensor-based HAR has gained increasing attention and presents great advantages to existing work. Relying solely on existing labeled data may not adequately address the challenge of ensuring the model's generalization ability to new data.

Does diabetes modify the triglyceride-glucose index associated with cardiovascular events and mortality? A meta-analysis of 50 cohorts involving 7,239,790 participants.

Introduction: Previous studies highlighted the association between the triglyceride-glucose (TyG) index and cardiovascular events in patients with diabetes. However, whether diabetes affects TyG-cardiovascular diseases (CVD) is still unclear. This study aimed to evaluate the association between the TyG index and CVD risk, stratified by diabetes status, as well as the potential modifying effect of diabetic status.

t Occupancy as an Effective and Predictive Descriptor for the Design of High-Performance Spinel Oxide Peroxidase-like Nanozymes.

Nanozymes are next generation of enzyme mimics. Due to the lack of activity descriptors, most nanozymes were discovered through trial-and-error strategies or by accident. While e occupancy in an octahedral crystal field was proven as an effective descriptor, the t in a tetrahedral crystal field has rarely been explored.

miR-145b/AP2B1 Axis Contributes to Noise-induced Sensorineural Hearing Loss In a Male Mouse Model.

Sensorineural hearing loss (SNHL) is an increasingly prevalent sensory disorder, but the underlying mechanisms remain poorly understood. Adaptor related protein complex 2 subunit beta 1 (AP2B1) has been indicated to be detectable in mature cochleae. Nonetheless, it is unclear whether AP2B1 is implicated in the progression of SNHL.

Lane Detection Based on ECBAM_ASPP Model.

With the growing prominence of autonomous driving, the demand for accurate and efficient lane detection has increased significantly. Beyond ensuring accuracy, achieving high detection speed is crucial to maintaining real-time performance, stability, and safety. To address this challenge, this study proposes the ECBAM_ASPP model, which integrates the Efficient Convolutional Block Attention Module (ECBAM) with the Atrous Spatial Pyramid Pooling (ASPP) module.

Multi-Scale Part-Based Feature Representation for 3D Domain Generalization and Adaptation.

Deep networks for 3D point clouds have achieved remarkable success in classification task but remain vulnerable to geometric variations resulting from inconsistent data acquisition procedures. This leads to significant performance degradation when models trained on a source domain are tested on out-of-distribution target domains, highlighting the challenges of 3D domain generalization and adaptation. In this paper, we introduce a novel Multi-Scale Part-based feature Representation, dubbed MSPR, as a generalizable representation for point cloud domain generalization and adaptation.