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Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth

It is acknowledged that some obesity trajectories are set early in life, and that rapid weight gain in infancy is a risk factor for later development of obesity. Identifying modifiable factors associated with early rapid weight gain is a prerequisite for curtailing the growing worldwide obesity epid...

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Autores principales: White, Richard A., Bjørnholt, Jørgen V., Baird, Donna D., Midtvedt, Tore, Harris, Jennifer R., Pagano, Marcello, Hide, Winston, Rudi, Knut, Moen, Birgitte, Iszatt, Nina, Peddada, Shyamal D., Eggesbø, Merete
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3650000/
https://www.ncbi.nlm.nih.gov/pubmed/23671411
http://dx.doi.org/10.1371/journal.pcbi.1003042
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author White, Richard A.
Bjørnholt, Jørgen V.
Baird, Donna D.
Midtvedt, Tore
Harris, Jennifer R.
Pagano, Marcello
Hide, Winston
Rudi, Knut
Moen, Birgitte
Iszatt, Nina
Peddada, Shyamal D.
Eggesbø, Merete
author_facet White, Richard A.
Bjørnholt, Jørgen V.
Baird, Donna D.
Midtvedt, Tore
Harris, Jennifer R.
Pagano, Marcello
Hide, Winston
Rudi, Knut
Moen, Birgitte
Iszatt, Nina
Peddada, Shyamal D.
Eggesbø, Merete
author_sort White, Richard A.
collection PubMed
description It is acknowledged that some obesity trajectories are set early in life, and that rapid weight gain in infancy is a risk factor for later development of obesity. Identifying modifiable factors associated with early rapid weight gain is a prerequisite for curtailing the growing worldwide obesity epidemic. Recently, much attention has been given to findings indicating that gut microbiota may play a role in obesity development. We aim at identifying how the development of early gut microbiota is associated with expected infant growth. We developed a novel procedure that allows for the identification of longitudinal gut microbiota patterns (corresponding to the gut ecosystem developing), which are associated with an outcome of interest, while appropriately controlling for the false discovery rate. Our method identified developmental pathways of Staphylococcus species and Escherichia coli that were associated with expected growth, and traditional methods indicated that the detection of Bacteroides species at day 30 was associated with growth. Our method should have wide future applicability for studying gut microbiota, and is particularly important for translational considerations, as it is critical to understand the timing of microbiome transitions prior to attempting to manipulate gut microbiota in early life.
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spelling pubmed-36500002013-05-13 Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth White, Richard A. Bjørnholt, Jørgen V. Baird, Donna D. Midtvedt, Tore Harris, Jennifer R. Pagano, Marcello Hide, Winston Rudi, Knut Moen, Birgitte Iszatt, Nina Peddada, Shyamal D. Eggesbø, Merete PLoS Comput Biol Research Article It is acknowledged that some obesity trajectories are set early in life, and that rapid weight gain in infancy is a risk factor for later development of obesity. Identifying modifiable factors associated with early rapid weight gain is a prerequisite for curtailing the growing worldwide obesity epidemic. Recently, much attention has been given to findings indicating that gut microbiota may play a role in obesity development. We aim at identifying how the development of early gut microbiota is associated with expected infant growth. We developed a novel procedure that allows for the identification of longitudinal gut microbiota patterns (corresponding to the gut ecosystem developing), which are associated with an outcome of interest, while appropriately controlling for the false discovery rate. Our method identified developmental pathways of Staphylococcus species and Escherichia coli that were associated with expected growth, and traditional methods indicated that the detection of Bacteroides species at day 30 was associated with growth. Our method should have wide future applicability for studying gut microbiota, and is particularly important for translational considerations, as it is critical to understand the timing of microbiome transitions prior to attempting to manipulate gut microbiota in early life. Public Library of Science 2013-05-09 /pmc/articles/PMC3650000/ /pubmed/23671411 http://dx.doi.org/10.1371/journal.pcbi.1003042 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
White, Richard A.
Bjørnholt, Jørgen V.
Baird, Donna D.
Midtvedt, Tore
Harris, Jennifer R.
Pagano, Marcello
Hide, Winston
Rudi, Knut
Moen, Birgitte
Iszatt, Nina
Peddada, Shyamal D.
Eggesbø, Merete
Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth
title Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth
title_full Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth
title_fullStr Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth
title_full_unstemmed Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth
title_short Novel Developmental Analyses Identify Longitudinal Patterns of Early Gut Microbiota that Affect Infant Growth
title_sort novel developmental analyses identify longitudinal patterns of early gut microbiota that affect infant growth
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3650000/
https://www.ncbi.nlm.nih.gov/pubmed/23671411
http://dx.doi.org/10.1371/journal.pcbi.1003042
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