Kumar Manish, Babaei Parizad, Ji Boyang, Nielsen Jens
Department of Biology and Biological Engineering, Chalmers University of Technology , Gothenburg, Sweden.
Nutr Healthy Aging. 2016 Oct 27;4(1):3-16. doi: 10.3233/NHA-150002.
The human gut microbiota alters with the aging process. In the first 2-3 years of life, the gut microbiota varies extensively in composition and metabolic functions. After this period, the gut microbiota demonstrates adult-like more stable and diverse microbial species. However, at old age, deterioration of physiological functions of the human body enforces the decrement in count of beneficial species (e.g. ) in the gut microbiota, which promotes various gut-related diseases (e.g. inflammatory bowel disease). Use of plant-based diets and probiotics/prebiotics may elevate the abundance of beneficial species and prevent gut-related diseases. Still, the connections between diet, microbes, and host are only partially known. To this end, genome-scale metabolic modeling can help to explore these connections as well as to expand the understanding of the metabolic capability of each species in the gut microbiota. This systems biology approach can also predict metabolic variations in the gut microbiota during ageing, and hereby help to design more effective probiotics/prebiotics.
人类肠道微生物群会随着衰老过程而改变。在生命的最初2至3年,肠道微生物群在组成和代谢功能方面有很大差异。在此之后,肠道微生物群呈现出类似成年人的、更稳定且多样的微生物种类。然而,在老年时,人体生理功能的衰退导致肠道微生物群中有益物种(如 )数量减少,这会引发各种肠道相关疾病(如炎症性肠病)。食用植物性饮食以及使用益生菌/益生元可能会增加有益物种的数量,并预防肠道相关疾病。尽管如此,饮食、微生物和宿主之间的联系仍只是部分为人所知。为此,基因组规模的代谢建模有助于探索这些联系,并增进对肠道微生物群中每个物种代谢能力的理解。这种系统生物学方法还可以预测衰老过程中肠道微生物群的代谢变化,从而有助于设计更有效的益生菌/益生元。