Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.

<h4>Background</h4>Interactions between the diet and intestinal microbiota play a role in health and disease, including obesity and related metabolic complications. There is great interest to use dietary means to manipulate the microbiota to promote health. Currently, the impact of dieta...

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Autores principales:	Katri Korpela, Harry J Flint, Alexandra M Johnstone, Jenni Lappi, Kaisa Poutanen, Evelyne Dewulf, Nathalie Delzenne, Willem M de Vos, Anne Salonen
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b9a29aacd26042d6a410b6ad067a6341
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spelling	oai:doaj.org-article:b9a29aacd26042d6a410b6ad067a63412021-11-18T08:29:22ZGut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.1932-620310.1371/journal.pone.0090702https://doaj.org/article/b9a29aacd26042d6a410b6ad067a63412014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24603757/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Interactions between the diet and intestinal microbiota play a role in health and disease, including obesity and related metabolic complications. There is great interest to use dietary means to manipulate the microbiota to promote health. Currently, the impact of dietary change on the microbiota and the host metabolism is poorly predictable and highly individual. We propose that the responsiveness of the gut microbiota may depend on its composition, and associate with metabolic changes in the host.<h4>Methodology</h4>Our study involved three independent cohorts of obese adults (n = 78) from Belgium, Finland, and Britain, participating in different dietary interventions aiming to improve metabolic health. We used a phylogenetic microarray for comprehensive fecal microbiota analysis at baseline and after the intervention. Blood cholesterol, insulin and inflammation markers were analyzed as indicators of host response. The data were divided into four training set - test set pairs; each intervention acted both as a part of a training set and as an independent test set. We used linear models to predict the responsiveness of the microbiota and the host, and logistic regression to predict responder vs. non-responder status, or increase vs. decrease of the health parameters.<h4>Principal findings</h4>Our models, based on the abundance of several, mainly Firmicute species at baseline, predicted the responsiveness of the microbiota (AUC = 0.77-1; predicted vs. observed correlation = 0.67-0.88). Many of the predictive taxa showed a non-linear relationship with the responsiveness. The microbiota response associated with the change in serum cholesterol levels with an AUC of 0.96, highlighting the involvement of the intestinal microbiota in metabolic health.<h4>Conclusion</h4>This proof-of-principle study introduces the first potential microbial biomarkers for dietary responsiveness in obese individuals with impaired metabolic health, and reveals the potential of microbiota signatures for personalized nutrition.Katri KorpelaHarry J FlintAlexandra M JohnstoneJenni LappiKaisa PoutanenEvelyne DewulfNathalie DelzenneWillem M de VosAnne SalonenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 6, p e90702 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Katri Korpela Harry J Flint Alexandra M Johnstone Jenni Lappi Kaisa Poutanen Evelyne Dewulf Nathalie Delzenne Willem M de Vos Anne Salonen Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.
description	<h4>Background</h4>Interactions between the diet and intestinal microbiota play a role in health and disease, including obesity and related metabolic complications. There is great interest to use dietary means to manipulate the microbiota to promote health. Currently, the impact of dietary change on the microbiota and the host metabolism is poorly predictable and highly individual. We propose that the responsiveness of the gut microbiota may depend on its composition, and associate with metabolic changes in the host.<h4>Methodology</h4>Our study involved three independent cohorts of obese adults (n = 78) from Belgium, Finland, and Britain, participating in different dietary interventions aiming to improve metabolic health. We used a phylogenetic microarray for comprehensive fecal microbiota analysis at baseline and after the intervention. Blood cholesterol, insulin and inflammation markers were analyzed as indicators of host response. The data were divided into four training set - test set pairs; each intervention acted both as a part of a training set and as an independent test set. We used linear models to predict the responsiveness of the microbiota and the host, and logistic regression to predict responder vs. non-responder status, or increase vs. decrease of the health parameters.<h4>Principal findings</h4>Our models, based on the abundance of several, mainly Firmicute species at baseline, predicted the responsiveness of the microbiota (AUC = 0.77-1; predicted vs. observed correlation = 0.67-0.88). Many of the predictive taxa showed a non-linear relationship with the responsiveness. The microbiota response associated with the change in serum cholesterol levels with an AUC of 0.96, highlighting the involvement of the intestinal microbiota in metabolic health.<h4>Conclusion</h4>This proof-of-principle study introduces the first potential microbial biomarkers for dietary responsiveness in obese individuals with impaired metabolic health, and reveals the potential of microbiota signatures for personalized nutrition.
format	article
author	Katri Korpela Harry J Flint Alexandra M Johnstone Jenni Lappi Kaisa Poutanen Evelyne Dewulf Nathalie Delzenne Willem M de Vos Anne Salonen
author_facet	Katri Korpela Harry J Flint Alexandra M Johnstone Jenni Lappi Kaisa Poutanen Evelyne Dewulf Nathalie Delzenne Willem M de Vos Anne Salonen
author_sort	Katri Korpela
title	Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.
title_short	Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.
title_full	Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.
title_fullStr	Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.
title_full_unstemmed	Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.
title_sort	gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/b9a29aacd26042d6a410b6ad067a6341
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_version_	1718421766826622976

Gut microbiota signatures predict host and microbiota responses to dietary interventions in obese individuals.

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