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Interplay between food and gut microbiota in health and disease

机译:食物和肠道菌群在健康和疾病中的相互作用

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摘要

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.
机译:许多微生物定居在人的胃肠道中,在饮食成分的消化和吸收方面起着关键作用。它们对食物成分进行生物转化并产生代谢产物,这些代谢产物与食物成分一起形成并调节宿主的免疫系统和代谢反应。相反,饮食调节肠道菌群的组成和功能,继而影响宿主生物化学过程,建立相互影响和相互依存的系统。大量营养素,纤维以及多酚和益生元是塑造肠道菌群组成的强大驱动力。特别是,由摄入的纤维和色氨酸代谢产物产生的短链脂肪酸是调节宿主免疫反应的关键。由于饮食,宿主和微生物群之间的相互互动是个人的,因此了解这种复杂的互动网络需要新颖地使用大型数据集以及实现机器学习算法和人工智能。在这篇综述中,我们旨在为将来调查食物成分与肠道菌群之间的相互作用如何影响甚至确定人类健康和疾病提供基础。

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