Metabolomics, Nutrition, and Potential Biomarkers of Food Quality, Intake, and Health Status

Autor: Jean-Louis Sébédio
Přispěvatelé: Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Institut National de la Recherche Agronomique (INRA)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Advances in Food and Nutrition Research
Advances in Food and Nutrition Research, Volume 82, Academic Press-Elsevier, 365 p., 2017, Advances in Food and Nutrition Research, 978-0-12-812633-2. ⟨10.1016/bs.afnr.2017.01.001⟩
Advances in Food and Nutrition Research, Volume 82, Academic Press-Elsevier, 365 p., 2017, Advances in Food and Nutrition Research, 978-0-12-812633-2 ⟨10.1016/bs.afnr.2017.01.001⟩
Popis: PMID:28427537Chapter Three; Diet, dietary patterns, and other environmental factors such as exposure to toxins are playing an important role in the prevention/development of many diseases, like obesity, type 2 diabetes, and consequently on the health status of individuals. A major challenge nowadays is to identify novel biomarkers to detect as early as possible metabolic dysfunction and to predict evolution of health status in order to refine nutritional advices to specific population groups. Omics technologies such as genomics, transcriptomics, proteomics, and metabolomics coupled with statistical and bioinformatics tools have already shown great potential in this research field even if so far only few biomarkers have been validated. For the past two decades, important analytical techniques have been developed to detect as many metabolites as possible in human biofluids such as urine, blood, and saliva. In the field of food science and nutrition, many studies have been carried out for food authenticity, quality, and safety, as well as for food processing. Furthermore, metabolomic investigations have been carried out to discover new early biomarkers of metabolic dysfunction and predictive biomarkers of developing pathologies (obesity, metabolic syndrome, type-2 diabetes, etc.). Great emphasis is also placed in the development of methodologies to identify and validate biomarkers of nutrients exposure
Databáze: OpenAIRE