Precision Nutrition

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Biology, life sciences; Food & society; Research & information: general; adipokine; adolescents; biomarkers; body fat; carbohydrate intake; cardiometabolic risk factors; childhood; CLOCK gene; dietary carbohydrates; dietary fat; dietary intervention; dietary parameters; dietary protein; dietary vitamin A; eating behavior; ELOVL; FTO gene; gene-diet interaction; gene-gene interaction; gene-nutrient interaction; genetic risk score; genetic variant; glaucoma; glucose homeostasis; HELENA; hypertension; insulin resistance; macronutrients; Mediterranean diet; metabolic alterations; metabolic syndrome; metabolomics; Mexican population; microbiota; nutrigenetics; nutrigenomics; obesity; PBMC; pediatrics; personalized nutrition; polygenetic-risk scores; precision medicine; precision nutrition; retinoic acid; rs3749474; sex; single nucleotide polymorphism; Single Nucleotide Polymorphisms; single-nucleotide polymorphism; sodium intake; UCP; weight loss
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 New scientific advances in different areas have allowed the design of more precise strategies for the prevention and treatment of metabolic disorders through nutrition. In this context emerges the term Precision Nutrition, a new approach that takes advantage of scientific knowledge about the interaction of internal and external environmental factors to develop dynamic and precise nutritional recommendations. Therefore, Precision Nutrition includes personalized advice based on genetics and well-documented gene-nutrient-phenotype interactions, as well as other factors such as individual metabolome, transcriptome, and microbiota profile; food behavior; and dietary, physical activity, and life-style habits; and the resulting interactomes. Precision Nutrition should be based at least on three sequential steps: conventional nutritional approaches (considering age, gender, and physiological states); the incorporation of nutritional and health status information (e.g., metabolites, physical and nutritional behavior); and the genetic baggage including multiomics functional integration.