Dietary phosphorus frequently exceeds age-specific requirements and pig manure often contains high phosphorus load which causes environmental burden at regional scales. Therefore, feeding strategies towards improved phosphorus efficiency and reduced environmental phosphorus load have to be developed. A 5-week feeding trial was conducted: piglets received medium, lower (-25%), or higher (+25%) amounts of phosphorus and calcium. Dietary responses were reflected by performance parameters, bone characteristics, and molecular data retrieved from serum, intestinal mucosa, and kidney cortex (p < 0.05). Transcripts associated with vitamin D hydroxylation (Cyp24A1, Cyp27A1, Cyp27B1) were regulated by diet at local tissue sites. Low-fed animals showed attempts to maintain mineral homoeostasis via intrinsic mechanisms, whereas the high-fed animals adapted at the expense of growth and development. Results suggest that a diet containing low phosphorus and calcium levels might be useful to improve resource efficiency and to reduce phosphorus losses along the agricultural value chain.
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http://dx.doi.org/10.1007/s13280-017-0969-8 | DOI Listing |
Curr Nutr Rep
January 2025
Department of Food Research, Faculty of Chemical Sciences, Universidad Autónoma de Coahuila, Blvd. V. Carranza e Ing. José Cárdenas s/n Col. República C.P., Saltillo, Coahuila, 25280, Mexico.
Objective Of The Review: Edible mushrooms are found to be foods with high nutritional content, which have been shown to be more widely used ingredients in cooking in traditional dishes. This article explores the rising trend in the use of edible mushrooms in new formulations of functional foods, taking advantage of their properties and benefits in human health.
Recent Findings: The use of mushrooms as an ingredient in new or modified food formulations is driven by solid evidence of their nutritional content and bioactivity.
Front Nutr
December 2024
National Institute of Agricultural Sciences, Rural Development Administration, Wanju, Republic of Korea.
Objectives: The objective of this study was to compare the dietary and health-related quality of life of young adults according to their household income and food security status.
Methods: To conduct this study, 10,224 young adults aged 19-34 years who participated in the 2008-2018 Korea National Health and Nutrition Examination Survey (KNHANES) were selected. Subjects were categorized into four groups based on household income and food security: 'food secure and high income,' 'food insecure and high income,' 'food secure and low income,' and 'food insecure and low income'.
In Vivo
December 2024
Department of Pharmacology and Toxicology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Background/aim: Low levels of vitamin D are a widespread global issue. This study aimed to determine the optimal vitamin D3 supplementation dose for healthy young adults by comparing the effectiveness of gradually increasing cholecalciferol doses over two years.
Patients And Methods: Thirty-five volunteers participated in a two-season pilot study conducted from October to April to avoid sunlight-induced vitamin D3 synthesis.
Sci Rep
December 2024
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
Consumers vary in their excretion of nitrogen and phosphorus, altering nutrient cycles and ecosystem function. Traditional mass balance models that focus on dietary and tissue nutrients have poorly explained such variation in excretion. Here, we contrast diet and tissue nutrient models for nutrient excretion with predation risk, an often overlooked factor, using the Trinidadian guppy (Poecilia reticulata) as our model system.
View Article and Find Full Text PDFMetabolites
December 2024
Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Employing advanced machine learning models, we aim to identify biomarkers for urolithiasis from 24-h metabolic urinary abnormalities and study their associations with urinary stone diseases. We retrospectively recruited 468 patients at Peking Union Medical College Hospital who were diagnosed with urinary stone disease, including renal, ureteral, and multiple location stones, and had undergone a 24-h urine metabolic evaluation. We applied machine learning methods to identify biomarkers of urolithiasis from the urinary metabolite profiles.
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