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Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy

Maternal body composition, gestational weight gain (GWG) and diet quality influence offspring obesity risk. While the gut microbiome is thought to play a crucial role, it is understudied in pregnancy. Using a longitudinal pregnancy cohort, maternal anthropometrics, body composition, fecal microbiome...

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Autores principales: Ruebel, Meghan L., Gilley, Stephanie P., Sims, Clark R., Zhong, Ying, Turner, Donald, Chintapalli, Sree V., Piccolo, Brian D., Andres, Aline, Shankar, Kartik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468685/
https://www.ncbi.nlm.nih.gov/pubmed/34579172
http://dx.doi.org/10.3390/nu13093295
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author Ruebel, Meghan L.
Gilley, Stephanie P.
Sims, Clark R.
Zhong, Ying
Turner, Donald
Chintapalli, Sree V.
Piccolo, Brian D.
Andres, Aline
Shankar, Kartik
author_facet Ruebel, Meghan L.
Gilley, Stephanie P.
Sims, Clark R.
Zhong, Ying
Turner, Donald
Chintapalli, Sree V.
Piccolo, Brian D.
Andres, Aline
Shankar, Kartik
author_sort Ruebel, Meghan L.
collection PubMed
description Maternal body composition, gestational weight gain (GWG) and diet quality influence offspring obesity risk. While the gut microbiome is thought to play a crucial role, it is understudied in pregnancy. Using a longitudinal pregnancy cohort, maternal anthropometrics, body composition, fecal microbiome and dietary intake were assessed at 12, 24 and 36 weeks of gestation. Fecal samples (n = 101, 98 and 107, at each trimester, respectively) were utilized for microbiome analysis via 16S rRNA amplicon sequencing. Data analysis included alpha- and beta-diversity measures and assessment of compositional changes using MaAsLin2. Correlation analyses of serum metabolic and anthropometric markers were performed against bacterial abundance and predicted functional pathways. α-diversity was unaltered by pregnancy stage or maternal obesity status. Actinobacteria, Lachnospiraceae, Akkermansia, Bifidobacterium, Streptococcus and Anaerotuncus abundances were associated with gestation stage. Maternal obesity status was associated with increased abundance of Lachnospiraceae, Bilophila, Dialister and Roseburia. Maternal BMI, fat mass, triglyceride and insulin levels were positively associated with Bilophila. Correlations of bacterial abundance with diet intake showed that Ruminococcus and Paraprevotella were associated with total fat and unsaturated fatty acid intake, while Collinsella and Anaerostipes were associated with protein intake. While causal relationships remain unclear, collectively, these findings indicate pregnancy- and maternal obesity-dependent interactions between dietary factors and the maternal gut microbiome.
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spelling pubmed-84686852021-09-27 Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy Ruebel, Meghan L. Gilley, Stephanie P. Sims, Clark R. Zhong, Ying Turner, Donald Chintapalli, Sree V. Piccolo, Brian D. Andres, Aline Shankar, Kartik Nutrients Article Maternal body composition, gestational weight gain (GWG) and diet quality influence offspring obesity risk. While the gut microbiome is thought to play a crucial role, it is understudied in pregnancy. Using a longitudinal pregnancy cohort, maternal anthropometrics, body composition, fecal microbiome and dietary intake were assessed at 12, 24 and 36 weeks of gestation. Fecal samples (n = 101, 98 and 107, at each trimester, respectively) were utilized for microbiome analysis via 16S rRNA amplicon sequencing. Data analysis included alpha- and beta-diversity measures and assessment of compositional changes using MaAsLin2. Correlation analyses of serum metabolic and anthropometric markers were performed against bacterial abundance and predicted functional pathways. α-diversity was unaltered by pregnancy stage or maternal obesity status. Actinobacteria, Lachnospiraceae, Akkermansia, Bifidobacterium, Streptococcus and Anaerotuncus abundances were associated with gestation stage. Maternal obesity status was associated with increased abundance of Lachnospiraceae, Bilophila, Dialister and Roseburia. Maternal BMI, fat mass, triglyceride and insulin levels were positively associated with Bilophila. Correlations of bacterial abundance with diet intake showed that Ruminococcus and Paraprevotella were associated with total fat and unsaturated fatty acid intake, while Collinsella and Anaerostipes were associated with protein intake. While causal relationships remain unclear, collectively, these findings indicate pregnancy- and maternal obesity-dependent interactions between dietary factors and the maternal gut microbiome. MDPI 2021-09-21 /pmc/articles/PMC8468685/ /pubmed/34579172 http://dx.doi.org/10.3390/nu13093295 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ruebel, Meghan L.
Gilley, Stephanie P.
Sims, Clark R.
Zhong, Ying
Turner, Donald
Chintapalli, Sree V.
Piccolo, Brian D.
Andres, Aline
Shankar, Kartik
Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy
title Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy
title_full Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy
title_fullStr Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy
title_full_unstemmed Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy
title_short Associations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy
title_sort associations between maternal diet, body composition and gut microbial ecology in pregnancy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8468685/
https://www.ncbi.nlm.nih.gov/pubmed/34579172
http://dx.doi.org/10.3390/nu13093295
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