Ankylosing spondylitis (AS) is a chronic inflammatory rheumatic disease associated with accelerated atherosclerosis and increased risk of cardiovascular (CV) disease. AS patients also display a high prevalence of features clustered under the name of metabolic syndrome (MeS). Anti-TNF- α therapy was found to be effective to treat AS patients by suppressing inflammation and also improving endothelial function. Previously, it was demonstrated that a short infusion of anti-TNF- α monoclonal antibodyinfliximab induced a rapid and dramatic reduction in serum insulin levels and insulin resistance along with a rapid improvement of insulin sensitivity in nondiabetic AS patients. The role of adipokines, MeS-related biomarkers and biomarkers of endothelial cell activation and inflammation seem to be relevant in different chronic inflammatory diseases. However, its implication in AS has not been fully established. Therefore, in this review we summarize the recent advances in the study of the involvement of these molecules in CV disease or MeS in AS. The assessment of adipokines and biomarkers of endothelial cell activation and MeS may be of potential relevance in the stratification of the CV risk of patients with AS.
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http://dx.doi.org/10.1155/2014/860651 | DOI Listing |
Nat Comput Sci
January 2025
Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
How complex phenotypes emerge from intricate gene expression patterns is a fundamental question in biology. Integrating high-content genotyping approaches such as single-cell RNA sequencing and advanced learning methods such as language models offers an opportunity for dissecting this complex relationship. Here we present a computational integrated genetics framework designed to analyze and interpret the high-dimensional landscape of genotypes and their associated phenotypes simultaneously.
View Article and Find Full Text PDFNeurol Res
January 2025
Neurology Department, Faculty of Medicine, Cairo University, Giza, Cairo, Egypt.
Background: Endothelial dysfunction and inflammation are linked to migraine, which may contribute to atherogenesis and increase the risk of ischemia. In migraineurs, preclinical vascular involvement manifested as compromised structural characteristics of vessel wall has not received enough attention or evaluation.
Objectives: To measure plasma pentraxin 3 as an indicator of endothelial dysfunction in migraine in comparison to controls and to examine its correlation with clinical characteristics, headache severity, and brain magnetic resonance imaging findings.
Asian Pac J Cancer Prev
January 2025
Adhiparasakthi Dental College and Hospital, Melmaruvathur, India.
Background: Angiogenesis, the formation of new blood vessels from preexisting ones via capillary sprouting, is a crucial process in tumor growth and metastasis. As a tumor's angiogenic capacity increases, its microvasculature, measured by micro vessel density (MVD), also increases. This study aims to evaluate the expression of Vascular Endothelial Growth Factor (VEGF) and CD34 in oral epithelial dysplasia and oral squamous cell carcinoma through immunohistochemical methods.
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December 2024
Vascular Surgery Research Laboratories, Division of Vascular and Endovascular Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA -
The glycocalyx is an essential structural and functional component of endothelial cells. Extensive hemodynamic changes cause endothelial glycocalyx disruption and vascular dysfunction, leading to multiple arterial and venous disorders. Chronic venous disease (CVD) is a common disorder of the lower extremities with major health and socio-economic implications, but complex pathophysiology.
View Article and Find Full Text PDFFront Vet Sci
January 2025
GenesisEgo, Seoul, Republic of Korea.
Hemangiosarcoma is a highly malignant tumor commonly affecting canines, originating from endothelial cells that line blood vessels, underscoring the importance of early detection. This canine cancer is analogous to human angiosarcoma, and the development of liquid biopsies leveraging cell-free DNA (cfDNA) represents a promising step forward in early cancer diagnosis. In this study, we utilized Whole Genome Sequencing (WGS) to analyze fragment sizes and copy number alterations (CNAs) in cfDNA from 21 hemangiosarcoma-affected and 36 healthy dogs, aiming to enhance early cancer detection accuracy through machine learning models.
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