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Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia

BACKGROUND: Preeclampsia (PE) is a heterogeneous, hypertensive disorder of pregnancy, with no robust biomarkers or effective treatments. We hypothesized that this heterogeneity is due to the existence of multiple subtypes of PE and, in support of this hypothesis, we recently identified five clusters...

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Autores principales: Leavey, Katherine, Wilson, Samantha L., Bainbridge, Shannon A., Robinson, Wendy P., Cox, Brian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5833042/
https://www.ncbi.nlm.nih.gov/pubmed/29507646
http://dx.doi.org/10.1186/s13148-018-0463-6
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author Leavey, Katherine
Wilson, Samantha L.
Bainbridge, Shannon A.
Robinson, Wendy P.
Cox, Brian J.
author_facet Leavey, Katherine
Wilson, Samantha L.
Bainbridge, Shannon A.
Robinson, Wendy P.
Cox, Brian J.
author_sort Leavey, Katherine
collection PubMed
description BACKGROUND: Preeclampsia (PE) is a heterogeneous, hypertensive disorder of pregnancy, with no robust biomarkers or effective treatments. We hypothesized that this heterogeneity is due to the existence of multiple subtypes of PE and, in support of this hypothesis, we recently identified five clusters of placentas within a large gene expression microarray dataset (N = 330), of which four (clusters 1, 2, 3, and 5) contained a substantial number of PE samples. However, while transcriptional analysis of placentas can subtype patients, we propose that the addition of epigenetic information could discern gene regulatory mechanisms behind the distinct PE pathologies, as well as identify clinically useful potential biomarkers. RESULTS: We subjected 48 of our samples from transcriptional clusters 1, 2, 3, and 5 to Infinium HumanMethylation450 arrays. Samples belonging to transcriptional clusters 1–3 still showed visible relationships to each other by methylation, but cluster 5, with known chromosomal abnormalities, no longer formed a cohesive group. Within transcriptional clusters 2 and 3, controlling for fetal sex and gestational age in the identification of differentially methylated sites, compared to the healthier cluster 1, dramatically reduced the number of significant sites, but increased the percentage that demonstrated a strong linear correlation with gene expression (from 5% and 2% to 9% and 8%, respectively). Locations exhibiting a positive relationship between methylation and gene expression were most frequently found in CpG open sea enhancer regions within the gene body, while those with a significant negative correlation were often annotated to the promoter in a CpG shore region. Integrated transcriptome and epigenome analysis revealed modifications in TGF-beta signaling, cell adhesion, oxidative phosphorylation, and metabolism pathways in cluster 2 placentas, and aberrations in antigen presentation, allograft rejection, and cytokine-cytokine receptor interaction in cluster 3 samples. CONCLUSIONS: Overall, we have established DNA methylation alterations underlying a portion of the transcriptional development of “canonical” PE in cluster 2 and “immunological” PE in cluster 3. However, a significant number of the observed methylation changes were not associated with corresponding changes in gene expression, and vice versa, indicating that alternate methods of gene regulation will need to be explored to fully comprehend these PE subtypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0463-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-58330422018-03-05 Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia Leavey, Katherine Wilson, Samantha L. Bainbridge, Shannon A. Robinson, Wendy P. Cox, Brian J. Clin Epigenetics Research BACKGROUND: Preeclampsia (PE) is a heterogeneous, hypertensive disorder of pregnancy, with no robust biomarkers or effective treatments. We hypothesized that this heterogeneity is due to the existence of multiple subtypes of PE and, in support of this hypothesis, we recently identified five clusters of placentas within a large gene expression microarray dataset (N = 330), of which four (clusters 1, 2, 3, and 5) contained a substantial number of PE samples. However, while transcriptional analysis of placentas can subtype patients, we propose that the addition of epigenetic information could discern gene regulatory mechanisms behind the distinct PE pathologies, as well as identify clinically useful potential biomarkers. RESULTS: We subjected 48 of our samples from transcriptional clusters 1, 2, 3, and 5 to Infinium HumanMethylation450 arrays. Samples belonging to transcriptional clusters 1–3 still showed visible relationships to each other by methylation, but cluster 5, with known chromosomal abnormalities, no longer formed a cohesive group. Within transcriptional clusters 2 and 3, controlling for fetal sex and gestational age in the identification of differentially methylated sites, compared to the healthier cluster 1, dramatically reduced the number of significant sites, but increased the percentage that demonstrated a strong linear correlation with gene expression (from 5% and 2% to 9% and 8%, respectively). Locations exhibiting a positive relationship between methylation and gene expression were most frequently found in CpG open sea enhancer regions within the gene body, while those with a significant negative correlation were often annotated to the promoter in a CpG shore region. Integrated transcriptome and epigenome analysis revealed modifications in TGF-beta signaling, cell adhesion, oxidative phosphorylation, and metabolism pathways in cluster 2 placentas, and aberrations in antigen presentation, allograft rejection, and cytokine-cytokine receptor interaction in cluster 3 samples. CONCLUSIONS: Overall, we have established DNA methylation alterations underlying a portion of the transcriptional development of “canonical” PE in cluster 2 and “immunological” PE in cluster 3. However, a significant number of the observed methylation changes were not associated with corresponding changes in gene expression, and vice versa, indicating that alternate methods of gene regulation will need to be explored to fully comprehend these PE subtypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0463-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-02 /pmc/articles/PMC5833042/ /pubmed/29507646 http://dx.doi.org/10.1186/s13148-018-0463-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Leavey, Katherine
Wilson, Samantha L.
Bainbridge, Shannon A.
Robinson, Wendy P.
Cox, Brian J.
Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia
title Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia
title_full Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia
title_fullStr Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia
title_full_unstemmed Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia
title_short Epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia
title_sort epigenetic regulation of placental gene expression in transcriptional subtypes of preeclampsia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5833042/
https://www.ncbi.nlm.nih.gov/pubmed/29507646
http://dx.doi.org/10.1186/s13148-018-0463-6
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