Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health

ABSTRACT Changes in the gut microbiome are often associated with disease. One of the major goals in microbiome research is determining which components of this complex system are responsible for the observed differences in health state. Most studies apply a reductionist approach, wherein individual...

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Autores principales:	Thomas J. Sharpton, Christopher A. Gaulke
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2015
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/0b4327b95bc4468e8e4e811ff0590907
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id	oai:doaj.org-article:0b4327b95bc4468e8e4e811ff0590907
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spelling	oai:doaj.org-article:0b4327b95bc4468e8e4e811ff05909072021-11-15T15:41:31ZModeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health10.1128/mBio.01367-152150-7511https://doaj.org/article/0b4327b95bc4468e8e4e811ff05909072015-10-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.01367-15https://doaj.org/toc/2150-7511ABSTRACT Changes in the gut microbiome are often associated with disease. One of the major goals in microbiome research is determining which components of this complex system are responsible for the observed differences in health state. Most studies apply a reductionist approach, wherein individual organisms are evaluated independently of the surrounding context of the microbiome. While such methods have yielded valuable insights into the microbiome, they fail to identify patterns that may be obscured by contextual variation. A recent report by Schubert et al. [A. M. Schubert, H. Sinani, and P. D. Schloss, mBio 6(4):e00974-15, 2015, doi: 10.1128/mBio.00974-15] communicates an alternative approach to the study of the microbiome's association with host health. By coupling a multifactored experimental design with regression modeling, the authors are able to profile context-dependent changes in the microbiome and predict health status. This work underscores the value of incorporating model-based procedures into the investigation of the microbiome and illustrates the potential clinical transformations that may arise through their use.Thomas J. SharptonChristopher A. GaulkeAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 6, Iss 5 (2015)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Thomas J. Sharpton Christopher A. Gaulke Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health
description	ABSTRACT Changes in the gut microbiome are often associated with disease. One of the major goals in microbiome research is determining which components of this complex system are responsible for the observed differences in health state. Most studies apply a reductionist approach, wherein individual organisms are evaluated independently of the surrounding context of the microbiome. While such methods have yielded valuable insights into the microbiome, they fail to identify patterns that may be obscured by contextual variation. A recent report by Schubert et al. [A. M. Schubert, H. Sinani, and P. D. Schloss, mBio 6(4):e00974-15, 2015, doi: 10.1128/mBio.00974-15] communicates an alternative approach to the study of the microbiome's association with host health. By coupling a multifactored experimental design with regression modeling, the authors are able to profile context-dependent changes in the microbiome and predict health status. This work underscores the value of incorporating model-based procedures into the investigation of the microbiome and illustrates the potential clinical transformations that may arise through their use.
format	article
author	Thomas J. Sharpton Christopher A. Gaulke
author_facet	Thomas J. Sharpton Christopher A. Gaulke
author_sort	Thomas J. Sharpton
title	Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health
title_short	Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health
title_full	Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health
title_fullStr	Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health
title_full_unstemmed	Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health
title_sort	modeling the context-dependent associations between the gut microbiome, its environment, and host health
publisher	American Society for Microbiology
publishDate	2015
url	https://doaj.org/article/0b4327b95bc4468e8e4e811ff0590907
work_keys_str_mv	AT thomasjsharpton modelingthecontextdependentassociationsbetweenthegutmicrobiomeitsenvironmentandhosthealth AT christopheragaulke modelingthecontextdependentassociationsbetweenthegutmicrobiomeitsenvironmentandhosthealth
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Modeling the Context-Dependent Associations between the Gut Microbiome, Its Environment, and Host Health

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