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Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge

Links between the gut microbiota and host metabolism have provided new perspectives on obesity. We previously showed that the link between the microbiota and fat deposition is age- and time-dependent subject to microbial adaptation to diet over time. We also demonstrated reduced weight gain in diet-...

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Autores principales: Clarke, Siobhan F., Murphy, Eileen F., O’Sullivan, Orla, Ross, R. Paul, O’Toole, Paul W., Shanahan, Fergus, Cotter, Paul D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676335/
https://www.ncbi.nlm.nih.gov/pubmed/23762426
http://dx.doi.org/10.1371/journal.pone.0065790
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author Clarke, Siobhan F.
Murphy, Eileen F.
O’Sullivan, Orla
Ross, R. Paul
O’Toole, Paul W.
Shanahan, Fergus
Cotter, Paul D.
author_facet Clarke, Siobhan F.
Murphy, Eileen F.
O’Sullivan, Orla
Ross, R. Paul
O’Toole, Paul W.
Shanahan, Fergus
Cotter, Paul D.
author_sort Clarke, Siobhan F.
collection PubMed
description Links between the gut microbiota and host metabolism have provided new perspectives on obesity. We previously showed that the link between the microbiota and fat deposition is age- and time-dependent subject to microbial adaptation to diet over time. We also demonstrated reduced weight gain in diet-induced obese (DIO) mice through manipulation of the gut microbiota with vancomycin or with the bacteriocin-producing probiotic Lactobacillus salivarius UCC118 (Bac(+)), with metabolic improvement achieved in DIO mice in receipt of vancomycin. However, two phases of weight gain were observed with effects most marked early in the intervention phase. Here, we compare the gut microbial populations at the early relative to the late stages of intervention using a high throughput sequencing-based analysis to understand the temporal relationship between the gut microbiota and obesity. This reveals several differences in microbiota composition over the intervening period. Vancomycin dramatically altered the gut microbiota composition, relative to controls, at the early stages of intervention after which time some recovery was evident. It was also revealed that Bac(+) treatment initially resulted in the presence of significantly higher proportions of Peptococcaceae and significantly lower proportions of Rikenellaceae and Porphyromonadaceae relative to the gut microbiota of L. salivarius UCC118 bacteriocin negative (Bac(-)) administered controls. These differences were no longer evident at the later time. The results highlight the resilience of the gut microbiota and suggest that interventions may need to be monitored and continually adjusted to ensure sustained modification of the gut microbiota.
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spelling pubmed-36763352013-06-12 Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge Clarke, Siobhan F. Murphy, Eileen F. O’Sullivan, Orla Ross, R. Paul O’Toole, Paul W. Shanahan, Fergus Cotter, Paul D. PLoS One Research Article Links between the gut microbiota and host metabolism have provided new perspectives on obesity. We previously showed that the link between the microbiota and fat deposition is age- and time-dependent subject to microbial adaptation to diet over time. We also demonstrated reduced weight gain in diet-induced obese (DIO) mice through manipulation of the gut microbiota with vancomycin or with the bacteriocin-producing probiotic Lactobacillus salivarius UCC118 (Bac(+)), with metabolic improvement achieved in DIO mice in receipt of vancomycin. However, two phases of weight gain were observed with effects most marked early in the intervention phase. Here, we compare the gut microbial populations at the early relative to the late stages of intervention using a high throughput sequencing-based analysis to understand the temporal relationship between the gut microbiota and obesity. This reveals several differences in microbiota composition over the intervening period. Vancomycin dramatically altered the gut microbiota composition, relative to controls, at the early stages of intervention after which time some recovery was evident. It was also revealed that Bac(+) treatment initially resulted in the presence of significantly higher proportions of Peptococcaceae and significantly lower proportions of Rikenellaceae and Porphyromonadaceae relative to the gut microbiota of L. salivarius UCC118 bacteriocin negative (Bac(-)) administered controls. These differences were no longer evident at the later time. The results highlight the resilience of the gut microbiota and suggest that interventions may need to be monitored and continually adjusted to ensure sustained modification of the gut microbiota. Public Library of Science 2013-06-07 /pmc/articles/PMC3676335/ /pubmed/23762426 http://dx.doi.org/10.1371/journal.pone.0065790 Text en © 2013 Clarke et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Clarke, Siobhan F.
Murphy, Eileen F.
O’Sullivan, Orla
Ross, R. Paul
O’Toole, Paul W.
Shanahan, Fergus
Cotter, Paul D.
Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge
title Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge
title_full Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge
title_fullStr Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge
title_full_unstemmed Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge
title_short Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge
title_sort targeting the microbiota to address diet-induced obesity: a time dependent challenge
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676335/
https://www.ncbi.nlm.nih.gov/pubmed/23762426
http://dx.doi.org/10.1371/journal.pone.0065790
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