Atherosclerosis

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) remains incompletely defined. We sought to derive an arginine-metabolism-related signature (AMRS) for prognosis and therapy guidance and to nominate actionable regulators. MATERIALS AND METHODS: We analysed single-cell and harmonized bulk RNA seque...

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 statins, cholesterol absorption inhibitors, and PCSK9 inhibitors-effectively reduces circulating low-density lipoprotein cholesterol (LDL-C), the risk of major adverse cardiovascular events driven by vulnerable plaque rupture persists. Conventional ...

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...

Deep-learning denoising for ultrahigh-resolution photon-counting detector CT: phantom and in vivo evaluation of non-calcified coronary plaques.

To assess the value of convolutional neural network (CNN)-based denoising for the evaluation of non-calcified coronary plaques on ultrahigh-resolution...

Atrial myopathy subtypes: Association with and prediction of incident atrial fibrillation-The atherosclerosis risk in communities study (ARIC).

BACKGROUND: Atrial myopathy is a heterogeneous condition associated with atrial fibrillation (AF). This study aimed to identify atrial myopathy subtyp...

Identification of therapeutic targets and postoperative recurrence prediction model construction for hepatocellular carcinoma based on systematic mendelian randomization.

BACKGROUND AND STUDY AIMS: Hepatocellular carcinoma (HCC) has a high risk of postoperative recurrence. This study aimed to develop a transcriptome-bas...

Factors contributing to the missed diagnosis of incidental gallbladder cancer (IGBC): an integrated analysis of clinical features and ultrasound radiomics.

BACKGROUND: Incidental gallbladder cancer (IGBC) is often diagnosed only during or after cholecystectomy, and preoperative identification remains chal...

C-reactive protein-triglyceride-glucose index as a novel biomarker for type 2 diabetes mellitus association in women with a history of gestational diabetes mellitus.

OBJECTIVE: To explore the relationship between the C-reactive protein-triglyceride-glucose index (CTI) and the risk of type 2 diabetes mellitus (T2DM)...

Beyond stenosis: Can artificial intelligence redefine stroke risk assessment in contrast-enhanced carotid ultrasound?

Artificial Intelligence in Vascular Surgery: Translating Innovation into Clinical Practice: A Narrative Review.

Artificial intelligence (AI) is rapidly reshaping modern medicine, with expanding applications in vascular surgery ranging from diagnostic imaging and...

Prevalence and burden of coronary artery disease in young adults undergoing clinically indicated coronary CT angiography.

BACKGROUND: The reported prevalence and burden of coronary artery disease in young adults varies markedly in published studies from the 1950s through ...

Personalized antiplatelet therapy: are we ready for a precision medicine approach.

Dual antiplatelet therapy (DAPT), combining aspirin with a P2Y12 inhibitor, remains central to secondary prevention after acute coronary syndrome and ...

Targeting the Gut-Heart Axis in Atherosclerosis: Microbial Metabolites, Molecular Mechanisms, and Precision Therapeutics.

Despite advances in lipid-lowering and anti-inflammatory medications, atherosclerotic cardiovascular disease (ASCVD) continues to be the leading cause...