Recent works demonstrated the difference of calcification genesis between carotid and femoral plaques, femoral plaques being more calcified. It has been clearly demonstrated that the molecular triad osteoprotegerin (OPG)/Receptor Activator of NFkB (RANK)/RANK Ligand (RANKL) exerts its activities in the osteoimmunology and vascular system. The aim of this study was to determine their expression and their potential role in calcifications of the atheromatous plaques located in two different peripheral arterial beds, carotid and femoral. The expression of OPG, RANK and RANKL was analyzed by immunochemistry in 40 carotid and femoral samples. Blood OPG and RANKL were quantified using specific ELISA assays. OPG staining was more frequently observed in carotid than in femoral plaques, especially in lipid core. Its expression correlated with macrophage infiltration more abundantly observed in carotid specimens. Surprisingly, serum OPG concentration was significantly lower in carotid population compared to femoral population while RANK and RANKL were equally expressed in both arterial beds. Carotid plaques that are less rich in calcium than femoral specimens, express more frequently OPG, this expression being correlated with the abundance of macrophages in the lesions. These data strengthen the key role played by OPG in the differential calcification in carotid and femoral plaques.
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http://dx.doi.org/10.1016/j.cyto.2012.02.004 | DOI Listing |
Catheter Cardiovasc Interv
March 2025
Division of arrhythmology, San Raffaele Hospital, Milan, Italy.
Background: Performing a left atrial appendage occlusion (LAAO) or catheter ablation with left-sided intracardiac thrombus is considered very-high risk for periinterventional stroke. Cerebral embolic protection (CEP) devices are designed to prevent cardioembolic stroke and have been widely studied in TAVR procedures. However, their role in LAAO and catheter ablation of ventricular tachycardia (VT) or in pulmonary vein isolation (PVI) with cardiac thrombus present remains unknown.
View Article and Find Full Text PDFMultimed Man Cardiothorac Surg
March 2025
Division of Cardiothoracic Surgery, Department of Surgery, Westchester Medical Center/New York Medical College, Valhalla, NY, USA New York Medical College School of Medicine, Valhalla, NY, USA.
A quinquagenarian underwent zone 2 arch repair for acute type A dissection followed by endovascular repair utilizing a branch endoprosthesis and covered stents. He developed a fever and positive blood culture results 3 weeks after the thoracic endovascular repair. A preoperative left carotid to subclavian artery bypass was performed.
View Article and Find Full Text PDFAm J Prev Cardiol
March 2025
Servicio de Clínica Médica, Hospital Escuela Eva Perón, Argentina.
Objectives: Traditional cardiovascular risk (CVR) stratification does not consider CVR enhancers (CVRE). Women present under-recognized CVRE factors that may lead to arterial stiffness (AS). AS is associated with long-term cardiovascular disease.
View Article and Find Full Text PDFJ Hum Hypertens
March 2025
Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
Arterial stiffness, a risk factor for cardiovascular disease, can be measured using pulse wave velocity (PWV) and augmentation index (AIx). We studied sex-specific associations between carotid-femoral PWV (cfPWV), brachial-ankle PWV (baPWV), aortic PWV (aoPWV), aortic (aoAIx), and brachial (baAIx) AIx with echocardiographic parameters. Data of 1150 participants of the Study of Health in Pomerania (SHIP-Trend 1; 530 men; median age 53 years; inter quartile range (IQR) 44 to 64) were used.
View Article and Find Full Text PDFCardiovascular diseases (CVDs), a leading cause of global mortality, are intricately linked to arterial stiffness, a key factor in cardiovascular health. Non-invasive assessment of arterial stiffness, particularly through Carotid-to-femoral Pulse Wave Velocity (cf-PWV) - the gold standard in this field - is vital for early detection and management of CVDs. This study introduces a novel approach, utilizing photoplethysmogram (PPG) signal spectrograms as inputs for deep learning models to estimate cf-PWV, a significant advancement over traditional methods.
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