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Molecular Reconstruction of the Diet in Human Stool Samples

Understanding dietary effects on the gut microbial composition is one of the key questions in human microbiome research. It is highly important to have reliable dietary data on the stool samples to unambiguously link the microbiome composition to food intake. Often, however, self-reported diet surve...

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Autor principal: Maixner, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832023/
https://www.ncbi.nlm.nih.gov/pubmed/31690595
http://dx.doi.org/10.1128/mSystems.00634-19
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author Maixner, Frank
author_facet Maixner, Frank
author_sort Maixner, Frank
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description Understanding dietary effects on the gut microbial composition is one of the key questions in human microbiome research. It is highly important to have reliable dietary data on the stool samples to unambiguously link the microbiome composition to food intake. Often, however, self-reported diet surveys have low accuracy and can be misleading. Thereby, additional molecular biology-based methods could help to revise the diet composition. The article by Reese et al. [A. T. Reese, T. R. Kartzinel, B. L. Petrone, P. J. Turnbaugh, et al., mSystems 4(5):e00458-19, 2019, https://doi.org/10.1128/mSystems.00458-19] in a recent issue of mSystems describes a DNA metabarcoding strategy targeting chloroplast DNA markers in stool samples from 11 human subjects consuming both controlled and freely selected diets. The aim of this study was to evaluate the efficiency of this molecular method in detecting plant remains in the sample compared to the written dietary records. This study displays an important first step in implementing molecular dietary reconstructions in stool microbiome studies which will finally help to increase the accuracy of dietary metadata.
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spelling pubmed-68320232019-11-08 Molecular Reconstruction of the Diet in Human Stool Samples Maixner, Frank mSystems Commentary Understanding dietary effects on the gut microbial composition is one of the key questions in human microbiome research. It is highly important to have reliable dietary data on the stool samples to unambiguously link the microbiome composition to food intake. Often, however, self-reported diet surveys have low accuracy and can be misleading. Thereby, additional molecular biology-based methods could help to revise the diet composition. The article by Reese et al. [A. T. Reese, T. R. Kartzinel, B. L. Petrone, P. J. Turnbaugh, et al., mSystems 4(5):e00458-19, 2019, https://doi.org/10.1128/mSystems.00458-19] in a recent issue of mSystems describes a DNA metabarcoding strategy targeting chloroplast DNA markers in stool samples from 11 human subjects consuming both controlled and freely selected diets. The aim of this study was to evaluate the efficiency of this molecular method in detecting plant remains in the sample compared to the written dietary records. This study displays an important first step in implementing molecular dietary reconstructions in stool microbiome studies which will finally help to increase the accuracy of dietary metadata. American Society for Microbiology 2019-11-05 /pmc/articles/PMC6832023/ /pubmed/31690595 http://dx.doi.org/10.1128/mSystems.00634-19 Text en Copyright © 2019 Maixner. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Maixner, Frank
Molecular Reconstruction of the Diet in Human Stool Samples
title Molecular Reconstruction of the Diet in Human Stool Samples
title_full Molecular Reconstruction of the Diet in Human Stool Samples
title_fullStr Molecular Reconstruction of the Diet in Human Stool Samples
title_full_unstemmed Molecular Reconstruction of the Diet in Human Stool Samples
title_short Molecular Reconstruction of the Diet in Human Stool Samples
title_sort molecular reconstruction of the diet in human stool samples
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832023/
https://www.ncbi.nlm.nih.gov/pubmed/31690595
http://dx.doi.org/10.1128/mSystems.00634-19
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