Metabolic fate of polyphenols in the human superorganism

代谢组学 肠道菌群 生物 多酚 代谢组 微生物群 计算生物学 现象 生物技术 生物信息学 表型 生物化学 抗氧化剂 基因
作者
John van Duynhoven,Elaine Vaughan,Doris M. Jacobs,Robèr Kemperman,Ewoud J. J. van Velzen,Gabriele Gross,Laure C. Roger,Sam Possemiers,Age K. Smilde,Joël Doré,Johan A. Westerhuis,Tom Van de Wiele
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:108 (supplement_1): 4531-4538 被引量:485
标识
DOI:10.1073/pnas.1000098107
摘要

Dietary polyphenols are components of many foods such as tea, fruit, and vegetables and are associated with several beneficial health effects although, so far, largely based on epidemiological studies. The intact forms of complex dietary polyphenols have limited bioavailability, with low circulating levels in plasma. A major part of the polyphenols persists in the colon, where the resident microbiota produce metabolites that can undergo further metabolism upon entering systemic circulation. Unraveling the complex metabolic fate of polyphenols in this human superorganism requires joint deployment of in vitro and humanized mouse models and human intervention trials. Within these systems, the variation in diversity and functionality of the colonic microbiota can increasingly be captured by rapidly developing microbiomics and metabolomics technologies. Furthermore, metabolomics is coming to grips with the large biological variation superimposed on relatively subtle effects of dietary interventions. In particular when metabolomics is deployed in conjunction with a longitudinal study design, quantitative nutrikinetic signatures can be obtained. These signatures can be used to define nutritional phenotypes with different kinetic characteristics for the bioconversion capacity for polyphenols. Bottom-up as well as top-down approaches need to be pursued to link gut microbial diversity to functionality in nutritional phenotypes and, ultimately, to bioactivity of polyphenols. This approach will pave the way for personalization of nutrition based on gut microbial functionality of individuals or populations.
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