Dyslipidemia

The Microbial Mechanisms of Cardiovascular Disease: Oral Dysbiosis as a Systemic Instigator.

Oral dysbiosis, particularly through periodontal disease, links strongly to cardiovascular risks by driving chronic inflammation and microbial translocation. Key pathogens invade vascular tissues, triggering systemic cytokines and metabolites that damage endothelial function and promote atherosclerosis. This creates a vicious cycle where oral inflammation worsens heart disease progression. Clinica...

Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches.

Gastric cancer (GC) risk is shaped by environmental exposures such as benzo[a]pyrene (BaP). Here, we systematically identified BaP-toxicological targets and dissected their contribution to GC development. BaP-related targets were independently predicted with stringent filters from ChEMBL, Similarity Ensemble Approach (SEA) and PharmMapper databases, while GC-related targets were mined from the Com...

Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.

This study develops a computational framework integrating bioinformatics, machine learning, and ΔG clustering to prioritize polycyclic aromatic hydroc...

Guiding Preventive Care Strategies for Patients With Atherosclerotic Plaque on Coronary CTA: Primary Outcomes of the DECIDE Registry.

BACKGROUND: Artificial intelligence-enabled coronary plaque analysis (AI-CPA) has been shown to improve cardiovascular risk prediction. However, littl...

Investigation of Fatty Acid Metabolism-Associated Molecular CPOX and the Underlying Mechanism in Follicular Lymphoma.

Dysregulated lipid metabolism is a key driver of follicular lymphoma (FL). This study aimed to explore the lipid metabolism-related genes (LMRGs) and ...

Comparison of conventional formulas and machine learning models for estimating serum low-density lipoprotein cholesterol.

BACKGROUND: Accurate estimation of low-density lipoprotein cholesterol (LDL-C) is essential for cardiovascular risk assessment and monitoring. Because...

Association of the atherogenic index of plasma and a novel triglyceride-glucose-body shape index with stroke: insights from NHANES and machine learning approaches.

Comprehensive Analysis of Bulk RNA-seq, Machine Learning, Mendelian Randomization, and Single-Cell Sequencing Unravels SLC22A3 as a Solute Carrier Superfamily-Associated Biomarker in Atherosclerosis.

Growing evidence implicates solute carrier (SLC) superfamily in atherosclerosis (AS) pathogenesis. This study identified SLC22A3 as a novel AS biomark...

Comprehensive evaluation of triglyceride glucose index-a body shape index (TyG-ABSI) for incident peripheral artery disease: data-driven phenotyping and machine learning-based risk prediction in the UK Biobank.

BACKGROUND: The prevalence of Peripheral Artery Disease (PAD) is rising globally, yet early risk stratification remains challenging due to the limitat...

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multi-Omic Analysis: Insights into Cardiovascular and Renal Complications.

BACKGROUND: Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (...

Characterization of biomarker profiles in patients with coronary artery disease: A prospective coronary computed tomography angiography study.

BACKGROUND AND AIMS: Conventional biomarkers such as low-density lipoprotein (LDL) and high-density lipoprotein may fail to identify patients' risk fo...

Exploring the therapeutic potential of Radix Puerariae isoflavonoids against atherosclerosis through integrative network pharmacology and machine learning.

Atherosclerosis (AS) is a chronic inflammatory disease of the vascular wall driven by a complex interplay between dysregulated immune responses and li...

Artificial Intelligence and Machine Learning Applications in Fibromuscular Dysplasia: Transforming Diagnosis, Risk Stratification, and Clinical Decision-Making.

Fibromuscular dysplasia (FMD) is a non-atherosclerotic vascular disorder with heterogeneous presentations, making diagnosis and management highly depe...

Serum Element-Driven Gut Microbial Disturbances and Their Predictive Implications for Gestational Dyslipidemia: A Prospective Birth Cohort Study.

Pregnancy-triggered shifts in maternal serum elements and gut microbiota may disrupt metabolic balance; yet, their interplay in lipid regulation remai...

Artificial intelligence-based coronary computed tomography angiography quantification of atherosclerosis burden: comparison with intravascular ultrasound in the INVICTUS Registry.

OBJECTIVES: Automated artificial intelligence (AI)-based assessment of atherosclerosis burden applied to coronary computed tomography angiography (CCT...

Heterogeneous associations of a mobile health-based disease management program on uncontrolled hypertension: A target trial emulation study.

Long-term effectiveness of digital health interventions for hypertension remains unclear, particularly regarding individual variability in treatment r...

Harnessing the gut-heart axis for cardiovascular drug innovation: microbiome, metabolites, and personalized treatment strategies.

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide despite major advances in pharmacotherapy. Emerging evidence reveals a p...

Impact of Deep Learning-Based Time-of-Flight PET Images of Small Tumors Using a Human Anatomic Phantom.

Time-of-flight (ToF) in PET improves image quality by enhancing the signal-to-noise ratio, and recent deep learning (DL)-based ToF (DL-ToF) methods fu...

Machine Learning-Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG.

BACKGROUND: Postoperative acute ischemic stroke remains a critical complication of coronary artery bypass grafting. This study aimed to develop a nove...

Oligodendrocyte-specific Fus depletion preserves CA1 single-unit fidelity and stabilizes network dynamics during chronic recording.

OBJECTIVE: Loss of oligodendrocytes (OLs) and myelin impairs neuronal firing and network stability, whereas enhancing oligodendrogenesis with clemasti...