Literature DB >> 33472685

Understanding the host-microbe interactions using metabolic modeling.

Jack Jansma1, Sahar El Aidy2.   

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.

Entities:  

Keywords:  Flux balance analysis; Gut microbiota; Metabolic model; Microbial community; Probiotics

Mesh:

Year:  2021        PMID: 33472685      PMCID: PMC7819158          DOI: 10.1186/s40168-020-00955-1

Source DB:  PubMed          Journal:  Microbiome        ISSN: 2049-2618            Impact factor:   14.650


  117 in total

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Journal:  Nature       Date:  2019-03-27       Impact factor: 49.962

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Journal:  Gut       Date:  2012-09-19       Impact factor: 23.059

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6.  Micromolar concentration of kynurenic acid in rat small intestine.

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7.  Systems-level characterization of a host-microbe metabolic symbiosis in the mammalian gut.

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Journal:  Biomed Res Int       Date:  2018-05-08       Impact factor: 3.411

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Journal:  Nat Commun       Date:  2019-01-18       Impact factor: 14.919

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Review 4.  Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis.

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6.  First Genome-Scale Metabolic Model of Dolosigranulum pigrum Confirms Multiple Auxotrophies.

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7.  Enhancing Microbiome Research through Genome-Scale Metabolic Modeling.

Authors:  Nana Y D Ankrah; David B Bernstein; Matthew Biggs; Maureen Carey; Melinda Engevik; Beatriz García-Jiménez; Meiyappan Lakshmanan; Alan R Pacheco; Snorre Sulheim; Gregory L Medlock
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Review 9.  Twenty Important Research Questions in Microbial Exposure and Social Equity.

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