: Metabolic syndrome is a significant public health issue, particularly in urbanizing regions like the Peruvian Amazon, where lifestyle changes have increased the prevalence of metabolic disorders. This study aimed to develop and validate a simple, cost-effective diagnostic model for early detection of metabolic syndrome in the urban population of San Juan Bautista, Iquitos. : A cross-sectional study was conducted with 251 adults aged over 18 years.
View Article and Find Full Text PDFCorneal ulcers in dogs pose a significant challenge in veterinary ophthalmology, often leading to prolonged visual impairment and discomfort. This study aimed to assess the efficacy of adipose tissue-derived mesenchymal stromal cell (ASCs) secretome as a treatment for complicated corneal ulcers in dogs. Ten dogs with spontaneous chronic corneal epithelial defects, were treated with topical application of ASC secretome eye drops.
View Article and Find Full Text PDFBackground: This review explores the potential of virtual reality (VR) and artificial intelligence (AI) to identify preclinical cognitive markers of Alzheimer disease (AD). By synthesizing recent studies, it aims to advance early diagnostic methods to detect AD before significant symptoms occur.
Objective: Research emphasizes the significance of early detection in AD during the preclinical phase, which does not involve cognitive impairment but nevertheless requires reliable biomarkers.
This study aimed to examine the dose-response effects of polyphenon-60 derived from green tea (P60-GT) on hexavalent chromium [Cr(VI)]-induced genotoxic damage and apoptosis. Male Hsd:ICR mice were divided into 4 groups: (1) Control (vehicle only), (2) P60-GT (15, 30, or 45 mg/kg gavage), (3) Cr(VI) (20 mg/kg of CrO intraperitoneally), and (4) P60-GT+CrO (P60-GT administered 4 hr before CrO). Peripheral blood samples were collected at 24, 48, and 72 hr to assess the number of micronuclei (MN), apoptosis, and cell viability, while plasma 8-hydroxy-2'-deoxyguanosine (8-OHdG) levels were measured at 0 and 48 hr.
View Article and Find Full Text PDFRecent advancements in Earth Observation sensors, improved accessibility to imagery and the development of corresponding processing tools have significantly empowered researchers to extract insights from Multisource Remote Sensing. This study aims to use these technologies for mapping summer and winter Land Use/Land Cover features in Cuenca de la Laguna Merín, Uruguay, while comparing the performance of Random Forests, Support Vector Machines, and Gradient-Boosting Tree classifiers. The materials include Sentinel-2, Sentinel-1 and Shuttle Radar Topography Mission imagery, Google Earth Engine, training and validation datasets and quoted classifiers.
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