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利用代谢建模理解宿主-微生物相互作用。

Understanding the host-microbe interactions using metabolic modeling.

机构信息

Host-Microbe metabolic Interactions, Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen, Groningen, Nijenborgh 7, 9747, AG, Groningen, The Netherlands.

出版信息

Microbiome. 2021 Jan 20;9(1):16. doi: 10.1186/s40168-020-00955-1.

Abstract

The human gut harbors an enormous number of symbiotic microbes, which is vital for human health. However, interactions within the complex microbiota community and between the microbiota and its host are challenging to elucidate, limiting development in the treatment for a variety of diseases associated with microbiota dysbiosis. Using in silico simulation methods based on flux balance analysis, those interactions can be better investigated. Flux balance analysis uses an annotated genome-scale reconstruction of a metabolic network to determine the distribution of metabolic fluxes that represent the complete metabolism of a bacterium in a certain metabolic environment such as the gut. Simulation of a set of bacterial species in a shared metabolic environment can enable the study of the effect of numerous perturbations, such as dietary changes or addition of a probiotic species in a personalized manner. This review aims to introduce to experimental biologists the possible applications of flux balance analysis in the host-microbiota interaction field and discusses its potential use to improve human health. Video abstract.

摘要

人类肠道中栖息着大量共生微生物,这对人类健康至关重要。然而,复杂的微生物群落内部以及微生物与其宿主之间的相互作用很难阐明,这限制了针对各种与微生物失调相关疾病的治疗方法的发展。基于通量平衡分析的计算模拟方法可以更好地研究这些相互作用。通量平衡分析使用基于注释的基因组尺度代谢网络重建来确定代谢通量的分布,这些代谢通量代表了在特定代谢环境(如肠道)中细菌的完整代谢。在共享代谢环境中模拟一组细菌物种,可以以个性化的方式研究大量扰动(例如饮食变化或添加益生菌物种)的影响。本综述旨在向实验生物学家介绍通量平衡分析在宿主-微生物相互作用领域的可能应用,并讨论其在改善人类健康方面的潜在用途。视频摘要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2847/7819158/4cd1b06afac8/40168_2020_955_Fig1_HTML.jpg

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