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The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial

Intestinal microbiota is related to obesity and serum lipid levels, both risk factors for chronic diseases constituting a challenge for public health. We investigated how a diet rich in whole grain (WG) products and red meat (RM) influences microbiota. During a 10-week crossover intervention study,...

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Autores principales: Foerster, Jana, Maskarinec, Gertraud, Reichardt, Nicole, Tett, Adrian, Narbad, Arjan, Blaut, Michael, Boeing, Heiner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192132/
https://www.ncbi.nlm.nih.gov/pubmed/25299601
http://dx.doi.org/10.1371/journal.pone.0109606
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author Foerster, Jana
Maskarinec, Gertraud
Reichardt, Nicole
Tett, Adrian
Narbad, Arjan
Blaut, Michael
Boeing, Heiner
author_facet Foerster, Jana
Maskarinec, Gertraud
Reichardt, Nicole
Tett, Adrian
Narbad, Arjan
Blaut, Michael
Boeing, Heiner
author_sort Foerster, Jana
collection PubMed
description Intestinal microbiota is related to obesity and serum lipid levels, both risk factors for chronic diseases constituting a challenge for public health. We investigated how a diet rich in whole grain (WG) products and red meat (RM) influences microbiota. During a 10-week crossover intervention study, 20 healthy adults consumed two isocaloric diets, one rich in WG products and one high in RM. Repeatedly data on microbiota were assessed by 16S rRNA based denaturing gradient gel electrophoresis (DGGE). A blood sample and anthropometric data were collected. Mixed models and logistic regression were used to investigate effects. Microbiota showed interindividual variability. However, dietary interventions modified microbiota appearance: 8 bands changed in at least 4 participants during the interventions. One of the bands appearing after WG and one increasing after RM remained significant in regression models and were identified as Collinsella aerofaciens and Clostridium sp. The WG intervention lowered obesity parameters, while the RM diet increased serum levels of uric acid and creatinine. The study showed that diet is a component of major relevance regarding its influence on intestinal microbiota and that WG has an important role for health. The results could guide investigations of diet and microbiota in observational prospective cohort studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT01449383
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spelling pubmed-41921322014-10-14 The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial Foerster, Jana Maskarinec, Gertraud Reichardt, Nicole Tett, Adrian Narbad, Arjan Blaut, Michael Boeing, Heiner PLoS One Research Article Intestinal microbiota is related to obesity and serum lipid levels, both risk factors for chronic diseases constituting a challenge for public health. We investigated how a diet rich in whole grain (WG) products and red meat (RM) influences microbiota. During a 10-week crossover intervention study, 20 healthy adults consumed two isocaloric diets, one rich in WG products and one high in RM. Repeatedly data on microbiota were assessed by 16S rRNA based denaturing gradient gel electrophoresis (DGGE). A blood sample and anthropometric data were collected. Mixed models and logistic regression were used to investigate effects. Microbiota showed interindividual variability. However, dietary interventions modified microbiota appearance: 8 bands changed in at least 4 participants during the interventions. One of the bands appearing after WG and one increasing after RM remained significant in regression models and were identified as Collinsella aerofaciens and Clostridium sp. The WG intervention lowered obesity parameters, while the RM diet increased serum levels of uric acid and creatinine. The study showed that diet is a component of major relevance regarding its influence on intestinal microbiota and that WG has an important role for health. The results could guide investigations of diet and microbiota in observational prospective cohort studies. TRIAL REGISTRATION: ClinicalTrials.gov NCT01449383 Public Library of Science 2014-10-09 /pmc/articles/PMC4192132/ /pubmed/25299601 http://dx.doi.org/10.1371/journal.pone.0109606 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Foerster, Jana
Maskarinec, Gertraud
Reichardt, Nicole
Tett, Adrian
Narbad, Arjan
Blaut, Michael
Boeing, Heiner
The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial
title The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial
title_full The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial
title_fullStr The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial
title_full_unstemmed The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial
title_short The Influence of Whole Grain Products and Red Meat on Intestinal Microbiota Composition in Normal Weight Adults: A Randomized Crossover Intervention Trial
title_sort influence of whole grain products and red meat on intestinal microbiota composition in normal weight adults: a randomized crossover intervention trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192132/
https://www.ncbi.nlm.nih.gov/pubmed/25299601
http://dx.doi.org/10.1371/journal.pone.0109606
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