Atherosclerosis

Quantitative Relationship Between White Matter Hyperintensity Volume and Fazekas Score on Brain MRI.

BACKGROUND: The Fazekas score is widely used to grade white matter hyperintensities (WMHs) in cerebral small vessel disease, yet the equivalent volume of each grade is unclear. We quantified the correspondence between Fazekas scores and WMH volume, normalized ratios, and derived conversion equations across populations. METHODS: We analyzed 1220 participants from 4 mostly United Kingdom-based cohor...

Development and Validation of a Simplified Martin-Hopkins LDL-C Equation Using Machine Learning.

IMPORTANCE: Although the Martin-Hopkins equation is widely validated and used to estimate low-density lipoprotein cholesterol (LDL-C) for clinical care, a simplified equation could streamline implementation and enable broader adoption. OBJECTIVE: To develop a simplified machine learning-based alternative to the Martin-Hopkins equation using multivariate adaptive regression splines (LDL-C-MH-MARS) ...

Single-Cell and Bulk RNA Sequencing Reveal MCL1 as a Key Regulator of Mitochondrial Function in Liver Ischemia-Reperfusion Injury.

Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation and surgical procedures, remains inadequately add...

Interactions between minimal amount of exercise and low-density lipoprotein cholesterol on incident dementia after stroke.

Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated with reduced dementia risk, while the association...

Correction to: A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-biobank and multi-ethnic study of atherosclerosis.

Transformer-DAPT: AI-based dynamic assessment of ischemic and bleeding risks in patients on DAPT following PCI.

Dual antiplatelet therapy (DAPT) following percutaneous coronary intervention (PCI) is traditionally guided by rule-based scores providing static, sin...

Proposal of a familial hypercholesterolemia paediatric diagnostic score (FH-PeDS).

AIMS: Familial hypercholesterolemia (FH) significantly increases cardiovascular risk from childhood yet remains widely underdiagnosed. This cross-sect...

Comparative Evaluation of Locally Delivered Aloe vera Gel as an Adjunct to Scaling and Root Planing in Patients With Periodontitis: A Randomized Clinical Trial.

BACKGROUND: Herbal adjuncts have gained increasing interest in nonsurgical periodontal therapy because of their anti-inflammatory, antimicrobial, and ...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascu...

[Computed tomography in cardiology: its necessity and developments].

Cardiac computed tomography angiography (CCTA) has evolved in recent years into a central pillar of non-invasive cardiovascular diagnostics and is now...

Multi-omics analysis of arginine metabolism in ovarian cancer: A prognostic signature and GTF2F2-driven stromal remodeling.

BACKGROUND: Arginine metabolism shapes tumor growth, stromal activation, and antitumor immunity, yet its translational relevance in ovarian cancer (OV...

Beyond Lipid Lowering: Targeting lncRNAs as a Novel Therapeutic Strategy for Vascular Wall Defense in Atherosclerosis.

Atherosclerosis remains the primary pathological foundation for severe cardiovascular events. Although guideline-directed medical therapy-particularly...

MAPPING THE MTOR PATHWAY IN LUNG TRANSPLANTATION: IS IT TIME FOR A BIOMARKER-DRIVEN PRECISION THERAPY?

Solid organ transplantation has revolutionized the treatment of end-stage diseases, yet long-term graft survival remains constrained by immune-mediate...

Unifying the hallmarks of major depression through neuroimmune-metabolic-oxidative (NIMETOX) dysregulation: a mechanistic systems framework.

Current state-of-the-art neuroimmune, metabolic, and oxidative stress (NIMETOX) knowledge that has been developed in clinical major depressive disorde...

Prediction of Exercise Intolerance in the Recovery Period After Cardiovascular Surgery Using Perioperative Clinical Parameters.

OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity at 3 months postoperatively using clinical parame...

Unraveling Bone-Skin Crosstalk Enables miRNA Nanoformulation for Cutaneous Neurovascular Reconstruction in Diabetic Mice.

The clinical intractability of diabetic foot ulcers stems from a profound uncoupling of cutaneous neurovascular networks, rendering standard metabolic...

Development and validation of a machine learning model for identifying liver fibrosis in MAFLD: a retrospective model development study.

BACKGROUND: Metabolic dysfunction-associated fatty liver disease (MAFLD), as the most prevalent chronic liver disease globally, is closely related to ...

Lipoprotein(a) and atherosclerosis risk across estimated glucose disposal rate strata: evaluating synergistic predictive utility.

BACKGROUND: High lipoprotein(a) [Lp(a)] levels and insulin resistance (IR) are both established risk factors for atherosclerosis. Nevertheless, the in...

Machine learning-based evaluation of lipid biomarkers for cardiovascular risk prediction in chronic kidney disease: A cross-sectional study.

Chronic kidney disease (CKD) is an important public health issue globally, greatly increasing the prevalence and mortality of cardiovascular disease (...

SMDNet: A Self-Training-Aware and Multi-Modal-Adaptive Deep Learning Network for Low-Data Aβ42 Probe Design and Optimization.

Amyloid-β (Aβ) plaque accumulation is a crucial hallmark of Alzheimer's disease, and fluorescence imaging can support disease diagnosis and monitoring...