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Aust Vet J
January 2025
Vetnostics, Macquarie Park, New South Wales, Australia.
Objective: Patient characteristics of Cushing's syndrome differ between countries and have not been assessed in the Australian dog population. This study describes signalment and distribution of adrenocorticotropic hormone (ACTH)-dependent hypercortisolism (ADH) and ACTH-independent hypercortisolism (AIH) in Australian dogs.
Animals: Two-hundred client-owned dogs that had endogenous ACTH concentrations measured by radioimmunoassay.
Arterioscler Thromb Vasc Biol
January 2025
British Heart Foundation Centre of Research Excellence, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, United Kingdom. (M.W., M.F., R.O., L.S., M.M., C.M.S.).
Background: The ECM (extracellular matrix) provides the microenvironmental niche sensed by resident vascular smooth muscle cells (VSMCs). Aging and disease are associated with dramatic changes in ECM composition and properties; however, their impact on the VSMC phenotype remains poorly studied.
Methods: Here, we describe a novel in vitro model system that utilizes endogenous ECM to study how modifications associated with age and metabolic disease impact the VSMC phenotype.
Ann Transl Med
December 2024
Post-Graduation Department, Faculty of Medical Sciences of Minas Gerais, Belo Horizonte, Brazil.
Background And Objective: Sarcopenia, characterized by the progressive loss of skeletal muscle mass (MM) and muscle function, is a common and debilitating condition in cancer patients, significantly impacting their quality of life, treatment outcomes, and overall survival. The pathophysiology of sarcopenia is multifactorial, involving metabolic, hormonal, and inflammatory changes. Recent research highlights the role of chronic inflammation in the development and progression of sarcopenia, with pro-inflammatory cytokines being key mediators of muscle catabolism.
View Article and Find Full Text PDFAdv Appl Bioinform Chem
January 2025
Department of Information Technology, Mutah University, Al-Karak, Jordan.
Purpose: The incidence of cancer, which is a serious public health concern, is increasing. A predictive analysis driven by machine learning was integrated with haematology parameters to create a method for the simultaneous diagnosis of several malignancies at different stages.
Patients And Methods: We analysed a newly collected dataset from various hospitals in Jordan comprising 19,537 laboratory reports (6,280 cancer and 13,257 noncancer cases).
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