Atherosclerosis

Upregulation of the Mitophagy-Related Gene EXOSC4 Is Associated with Immune Dysregulation in Spinal Cord Injury.

Spinal cord injury (SCI) profoundly impairs patients' quality of life and imposes a substantial economic burden on society, often resulting in irreversible neurological deficits. To investigate the involvement of mitophagy-related genes (MRGs) in SCI, the GSE151371 dataset, comprising 38 SCI samples and 10 healthy control samples from the Gene Expression Omnibus (GEO) database, was analyzed. Key g...

Temporal In Vitro Models of Skin Wound Healing Components: A Cell-Specific Framework for Acute and Chronic Repair Mechanisms.

SIGNIFICANCE: Wound healing is as much about opportunity (Gk. Karios) and sequence (Gk. Chronos). The sequential healing responses involve concerted responses of cells of various lineages along with both soluble (cytokines and growth factors) and insoluble (matrix composition and topology) that are precisely coordinated for ultimate healing. This motivated the current scoping review to examine the...

NATURal history of coronary PlaquE on cardiac computed tomography in individuals without MACE or lipid-lowering therapy: NATURE-CTstudy.

BACKGROUND: Coronary artery disease (CAD) progression has been examined mainly in cohorts enriched for major adverse cardiovascular events (MACE), a h...

Immune Checkpoint Inhibitor-Associated Cardiovascular Toxicity: Mechanisms, Clinical Manifestations, and Clinical Impact.

Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell-mediated recognition and elimination of tumor cel...

Machine learning reveals microbiome differences by periodontitis severity.

Periodontitis is a chronic inflammatory disease driven by microbial dysbiosis, yet the microbial signatures associated with severity remain incomplete...

Cascade-amplified 2D ultrathin hexagonal Cu-doped LDO nanozyme for multiplexed wearable monitoring of sweat metabolites.

Sweat-based metabolic monitoring offers a non-invasive alternative to blood tests, but its clinical utility is limited by the limited catalytic effici...

Deep Learning-Based Automated Coronary Plaque Quantification with Ultra-high Resolution Photon-Counting Detector CT at Different Spatial Resolutions.

RATIONALE AND OBJECTIVES: To evaluate the impact of varying spatial resolutions on image quality, and deep-learning (DL) based quantification of coron...

SLA and DDX60L as potential diagnostic biomarkers for subclinical atherosclerosis in systemic lupus erythematosus: a transcriptomic and clinical validation study.

BACKGROUND: Systemic lupus erythematosus (SLE) patients face a 5-tenfold increased risk of atherosclerosis (AS), with subclinical lesions often progre...

Machine Learning Prediction Model for Dyslipidemia and Its Association With Atherothrombotic Events in 3 Independent Cohorts From South Korea, Japan, and the United Kingdom: Algorithm Development and Validation Study.

BACKGROUND: Dyslipidemia is a multifactorial and complex condition that warrants investigation through advanced analytical approaches such as machine ...

Network pharmacology and bioinformatics study of Shuangjiang decoction and labetalol hydrochloride in the treatment of preeclampsia in pregnancy.

Preeclampsia (PE) remains a leading cause of maternal and perinatal mortality worldwide, and the combined use of Shuangjiang Decoction with Labetalol ...

Unraveling Atherosclerosis through Multi-omics: Systematic Insights into the Unique Applications and Clinical Perspectives.

PURPOSE OF REVIEW: Atherosclerosis (AS) is a progressive disease of the arterial wall characterized by metabolic dysregulation, inflammatory activatio...

A Landmark-Guided Dual-Stream Synergistic Framework for Automated Intracranial Aneurysm Detection in Magnetic Resonance Angiography.

Early and accurate detection of intracranial aneurysms (IAs) is critical for preventing rupture; however, manual interpretation of time-of-flight magn...

Comparative prognostic value of TyG index and TyG-BMI for 90-day all-cause mortality in critically ill older adults with ASCVD: a machine learning analysis of the MIMIC-IV database.

BACKGROUND: The triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) are emerging surrogate markers of insulin resistan...

The Immediate Effects of a 3D Intraoral Scanner as an Adjunctive Oral Hygiene Educational Tool: A Randomised Controlled Trial.

OBJECTIVES: This single-visit randomised controlled clinical trial (RCT) aimed to evaluate the immediate effects of a three-dimensional (3D) intraoral...

CXCL16 promotes macrophage-driven inflammation and vascular smooth muscle cell phenotypic switching during carotid plaque destabilization.

BACKGROUND: Carotid plaque instability is a major determinant of ischemic stroke and is characterized by heightened inflammation and structural remode...

Hidden Preoperative Lower-Extremity Venous Thrombosis in Pelvic Organ Prolapse Surgery: Prevalence and Development of a Clinical Prediction Model.

INTRODUCTION AND HYPOTHESIS: Preoperative lower-extremity venous thrombosis (LEVT) is frequently overlooked in women undergoing pelvic organ prolapse ...

Integrated single-cell and bulk transcriptomic analyses unveil a necroptosis-related prognostic model and its association with tumor microenvironment remodeling in gastric cancer.

BACKGROUND: Necroptosis has emerged as a critical regulator in tumor progression and therapeutic response, yet its prognostic significance and influen...

The retinol metabolizing enzyme DHRS3 coordinates antigen presentation, endothelial stability, and cholesterol metabolism to suppress hepatocellular carcinoma progression.

Hepatocellular carcinoma (HCC) remains a therapeutic challenge due to tumor microenvironment heterogeneity and metabolic reprogramming. DHRS3, a retin...

Noninvasive early detection and grading of pneumoconiosis via plasma proteomics and machine learning: PRSS3 as a potential biomarker.

BACKGROUND: Coal-dust, a persistent airborne pollutant, induces dose-related pulmonary fibrosis; however, plasma biomarkers for pre-clinical toxicity ...

Construction of a predictive model for the risk of non-alcoholic fatty liver disease in patients with sleep apnea syndrome based on multiple machine learning algorithms: a multicenter study.

BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatty liver disease (NAFLD), but current clinical tool...