| Literature DB >> 30599936 |
Niels Banhos Danneskiold-Samsøe1, Helena Dias de Freitas Queiroz Barros2, Rosangela Santos3, Juliano Lemos Bicas3, Cinthia Baú Betim Cazarin2, Lise Madsen4, Karsten Kristiansen5, Glaucia Maria Pastore3, Susanne Brix6, Mário Roberto Maróstica Júnior7.
Abstract
Numerous microorganisms colonize the human gastrointestinal tract playing pivotal roles in relation to digestion and absorption of dietary components. They biotransform food components and produce metabolites, which in combination with food components shape and modulate the host immune system and metabolic responses. Reciprocally, the diet modulates the composition and functional capacity of the gut microbiota, which subsequently influence host biochemical processes establishing a system of mutual interaction and inter-dependency. Macronutrients, fibers, as well as polyphenols and prebiotics are strong drivers shaping the composition of the gut microbiota. Especially, short-chain fatty acids produced from ingested fibers and tryptophan metabolites are key in modulating host immune responses. Since reciprocal interactions between diet, host, and microbiota are personal, understanding this complex network of interactions calls for novel use of large datasets and the implementation of machine learning algorithms and artificial intelligence. In this review, we aim to provide a base for future investigations of how interactions between food components and gut microbiota may influence or even determine human health and disease.Entities:
Keywords: Disease; Gut microbiota; Health; Macronutrients; Polyphenols; Prebiotics
Year: 2018 PMID: 30599936 DOI: 10.1016/j.foodres.2018.07.043
Source DB: PubMed Journal: Food Res Int ISSN: 0963-9969 Impact factor: 6.475