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基于生理学的食物消化和肠道微生物组建模:现状与未来挑战。INFOGEST 综述。

Physiologically Based Modeling of Food Digestion and Intestinal Microbiota: State of the Art and Future Challenges. An INFOGEST Review.

机构信息

STLO, INRAE, Institut Agro, 35042 Rennes, France; email:

Essex Pathways, University of Essex, CO4 3SQ Colchester, United Kingdom; email:

出版信息

Annu Rev Food Sci Technol. 2021 Mar 25;12:149-167. doi: 10.1146/annurev-food-070620-124140. Epub 2021 Jan 5.

DOI:10.1146/annurev-food-070620-124140
PMID:33400557
Abstract

This review focuses on modeling methodologies of the gastrointestinal tract during digestion that have adopted a systems-view approach and, more particularly, on physiologically based compartmental models of food digestion and host-diet-microbiota interactions. This type of modeling appears very promising for integrating the complex stream of mechanisms that must be considered and retrieving a full picture of the digestion process from mouth to colon. We may expect these approaches to become more and more accurate in the future and to serve as a useful means of understanding the physicochemical processes occurring in the gastrointestinaltract, interpreting postprandial in vivo data, making relevant predictions, and designing healthier foods. This review intends to provide a scientific and historical background of this field of research, before discussing the future challenges and potential benefits of the establishment of such a model to study and predict food digestion and absorption in humans.

摘要

这篇综述重点介绍了在消化过程中采用系统观点的胃肠道建模方法,特别是关于食物消化和宿主-饮食-微生物群相互作用的基于生理学的房室模型。这种建模方法对于整合必须考虑的复杂机制流并从口腔到结肠获取消化过程的全貌似乎非常有前景。我们可以预期,这些方法在未来会越来越准确,并成为理解胃肠道中发生的物理化学过程、解释餐后体内数据、进行相关预测以及设计更健康食品的有用手段。在讨论建立这样一种模型来研究和预测人类食物消化和吸收的未来挑战和潜在好处之前,本综述旨在提供该研究领域的科学和历史背景。

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