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Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome

Maternal obesity has a major impact on pregnancy outcomes. There is growing evidence that maternal obesity has a negative influence on placental development and function, thereby adversely influencing offspring programming and health outcomes. However, the molecular mechanisms underlying these proce...

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Autores principales: Altmäe, Signe, Segura, Maria Teresa, Esteban, Francisco J., Bartel, Sabine, Brandi, Pilar, Irmler, Martin, Beckers, Johannes, Demmelmair, Hans, López-Sabater, Carmen, Koletzko, Berthold, Krauss-Etschmann, Susanne, Campoy, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268451/
https://www.ncbi.nlm.nih.gov/pubmed/28125591
http://dx.doi.org/10.1371/journal.pone.0169223
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author Altmäe, Signe
Segura, Maria Teresa
Esteban, Francisco J.
Bartel, Sabine
Brandi, Pilar
Irmler, Martin
Beckers, Johannes
Demmelmair, Hans
López-Sabater, Carmen
Koletzko, Berthold
Krauss-Etschmann, Susanne
Campoy, Cristina
author_facet Altmäe, Signe
Segura, Maria Teresa
Esteban, Francisco J.
Bartel, Sabine
Brandi, Pilar
Irmler, Martin
Beckers, Johannes
Demmelmair, Hans
López-Sabater, Carmen
Koletzko, Berthold
Krauss-Etschmann, Susanne
Campoy, Cristina
author_sort Altmäe, Signe
collection PubMed
description Maternal obesity has a major impact on pregnancy outcomes. There is growing evidence that maternal obesity has a negative influence on placental development and function, thereby adversely influencing offspring programming and health outcomes. However, the molecular mechanisms underlying these processes are poorly understood. We analysed ten term placenta’s whole transcriptomes in obese (n = 5) and normal weight women (n = 5), using the Affymetrix microarray platform. Analyses of expression data were carried out using non-parametric methods. Hierarchical clustering and principal component analysis showed a clear distinction in placental transcriptome between obese and normal weight women. We identified 72 differentially regulated genes, with most being down-regulated in obesity (n = 61). Functional analyses of the targets using DAVID and IPA confirm the dysregulation of previously identified processes and pathways in the placenta from obese women, including inflammation and immune responses, lipid metabolism, cancer pathways, and angiogenesis. In addition, we detected new molecular aspects of obesity-derived effects on the placenta, involving the glucocorticoid receptor signalling pathway and dysregulation of several genes including CCL2, FSTL3, IGFBP1, MMP12, PRG2, PRL, QSOX1, SERPINE2 and TAC3. Our global gene expression profiling approach demonstrates that maternal obesity creates a unique in utero environment that impairs the placental transcriptome.
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spelling pubmed-52684512017-02-06 Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome Altmäe, Signe Segura, Maria Teresa Esteban, Francisco J. Bartel, Sabine Brandi, Pilar Irmler, Martin Beckers, Johannes Demmelmair, Hans López-Sabater, Carmen Koletzko, Berthold Krauss-Etschmann, Susanne Campoy, Cristina PLoS One Research Article Maternal obesity has a major impact on pregnancy outcomes. There is growing evidence that maternal obesity has a negative influence on placental development and function, thereby adversely influencing offspring programming and health outcomes. However, the molecular mechanisms underlying these processes are poorly understood. We analysed ten term placenta’s whole transcriptomes in obese (n = 5) and normal weight women (n = 5), using the Affymetrix microarray platform. Analyses of expression data were carried out using non-parametric methods. Hierarchical clustering and principal component analysis showed a clear distinction in placental transcriptome between obese and normal weight women. We identified 72 differentially regulated genes, with most being down-regulated in obesity (n = 61). Functional analyses of the targets using DAVID and IPA confirm the dysregulation of previously identified processes and pathways in the placenta from obese women, including inflammation and immune responses, lipid metabolism, cancer pathways, and angiogenesis. In addition, we detected new molecular aspects of obesity-derived effects on the placenta, involving the glucocorticoid receptor signalling pathway and dysregulation of several genes including CCL2, FSTL3, IGFBP1, MMP12, PRG2, PRL, QSOX1, SERPINE2 and TAC3. Our global gene expression profiling approach demonstrates that maternal obesity creates a unique in utero environment that impairs the placental transcriptome. Public Library of Science 2017-01-26 /pmc/articles/PMC5268451/ /pubmed/28125591 http://dx.doi.org/10.1371/journal.pone.0169223 Text en © 2017 Altmäe 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Altmäe, Signe
Segura, Maria Teresa
Esteban, Francisco J.
Bartel, Sabine
Brandi, Pilar
Irmler, Martin
Beckers, Johannes
Demmelmair, Hans
López-Sabater, Carmen
Koletzko, Berthold
Krauss-Etschmann, Susanne
Campoy, Cristina
Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome
title Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome
title_full Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome
title_fullStr Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome
title_full_unstemmed Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome
title_short Maternal Pre-Pregnancy Obesity Is Associated with Altered Placental Transcriptome
title_sort maternal pre-pregnancy obesity is associated with altered placental transcriptome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5268451/
https://www.ncbi.nlm.nih.gov/pubmed/28125591
http://dx.doi.org/10.1371/journal.pone.0169223
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