Understanding the host-microbe interactions using metabolic modeling
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 disease...
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Online Access: | https://doi.org/10.1186/s40168-020-00955-1 |
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doaj-d3db0d50099b4c088d997b240927e5392021-01-24T12:42:40ZengBMCMicrobiome2049-26182021-01-019111410.1186/s40168-020-00955-1Understanding the host-microbe interactions using metabolic modelingJack Jansma0Sahar El Aidy1Host-Microbe metabolic Interactions, Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of GroningenHost-Microbe metabolic Interactions, Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of GroningenAbstract 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 abstracthttps://doi.org/10.1186/s40168-020-00955-1Flux balance analysisGut microbiotaProbioticsMetabolic modelMicrobial community |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jack Jansma Sahar El Aidy |
spellingShingle |
Jack Jansma Sahar El Aidy Understanding the host-microbe interactions using metabolic modeling Microbiome Flux balance analysis Gut microbiota Probiotics Metabolic model Microbial community |
author_facet |
Jack Jansma Sahar El Aidy |
author_sort |
Jack Jansma |
title |
Understanding the host-microbe interactions using metabolic modeling |
title_short |
Understanding the host-microbe interactions using metabolic modeling |
title_full |
Understanding the host-microbe interactions using metabolic modeling |
title_fullStr |
Understanding the host-microbe interactions using metabolic modeling |
title_full_unstemmed |
Understanding the host-microbe interactions using metabolic modeling |
title_sort |
understanding the host-microbe interactions using metabolic modeling |
publisher |
BMC |
series |
Microbiome |
issn |
2049-2618 |
publishDate |
2021-01-01 |
description |
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 |
topic |
Flux balance analysis Gut microbiota Probiotics Metabolic model Microbial community |
url |
https://doi.org/10.1186/s40168-020-00955-1 |
work_keys_str_mv |
AT jackjansma understandingthehostmicrobeinteractionsusingmetabolicmodeling AT saharelaidy understandingthehostmicrobeinteractionsusingmetabolicmodeling |
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