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Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population
BACKGROUND: Obesity and diabetes mellitus are directly implicated in many adverse health consequences in adults as well as in the offspring of obese and diabetic mothers. Hispanic Americans are particularly at risk for obesity, diabetes, and end-stage renal disease. Maternal obesity and/or diabetes...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031937/ https://www.ncbi.nlm.nih.gov/pubmed/32075680 http://dx.doi.org/10.1186/s13148-020-0824-9 |
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author | Rizzo, Heather E. Escaname, Elia N. Alana, Nicholas B. Lavender, Elizabeth Gelfond, Jonathan Fernandez, Roman Hibbs, Matthew A. King, Jonathan M. Carr, Nicholas R. Blanco, Cynthia L. |
author_facet | Rizzo, Heather E. Escaname, Elia N. Alana, Nicholas B. Lavender, Elizabeth Gelfond, Jonathan Fernandez, Roman Hibbs, Matthew A. King, Jonathan M. Carr, Nicholas R. Blanco, Cynthia L. |
author_sort | Rizzo, Heather E. |
collection | PubMed |
description | BACKGROUND: Obesity and diabetes mellitus are directly implicated in many adverse health consequences in adults as well as in the offspring of obese and diabetic mothers. Hispanic Americans are particularly at risk for obesity, diabetes, and end-stage renal disease. Maternal obesity and/or diabetes through prenatal programming may alter the fetal epigenome increasing the risk of metabolic disease in their offspring. The aims of this study were to determine if maternal obesity or diabetes mellitus during pregnancy results in a change in infant methylation of CpG islands adjacent to targeted genes specific for obesity or diabetes disease pathways in a largely Hispanic population. METHODS: Methylation levels in the cord blood of 69 newborns were determined using the Illumina Infinium MethylationEPIC BeadChip. Over 850,000 different probe sites were analyzed to determine whether maternal obesity and/or diabetes mellitus directly attributed to differential methylation; epigenome-wide and regional analyses were performed for significant CpG sites. RESULTS: Following quality control, agranular leukocyte samples from 69 newborns (23 normal term (NT), 14 diabetes (DM), 23 obese (OB), 9 DM/OB) were analyzed for over 850,000 different probe sites. Contrasts between the NT, DM, OB, and DM/OB were considered. After correction for multiple testing, 15 CpGs showed differential methylation from the NT, associated with 10 differentially methylated genes between the diabetic and non-diabetic subgroups, CCDC110, KALRN, PAG1, GNRH1, SLC2A9, CSRP2BP, HIVEP1, RALGDS, DHX37, and SCNN1D. The effects of diabetes were partly mediated by the altered methylation of HOOK2, LCE3C, and TMEM63B. The effects of obesity were partly mediated by the differential methylation of LTF and DUSP22. CONCLUSIONS: The presented data highlights the associated altered methylation patterns potentially mediated by maternal diabetes and/or obesity. Larger studies are warranted to investigate the role of both the identified differentially methylated loci and the effects on newborn body composition and future health risk factors for metabolic disease. Additional future consideration should be targeted to the role of Hispanic inheritance. Potential future targeting of transgenerational propagation and developmental programming may reduce population obesity and diabetes risk. |
format | Online Article Text |
id | pubmed-7031937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70319372020-02-25 Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population Rizzo, Heather E. Escaname, Elia N. Alana, Nicholas B. Lavender, Elizabeth Gelfond, Jonathan Fernandez, Roman Hibbs, Matthew A. King, Jonathan M. Carr, Nicholas R. Blanco, Cynthia L. Clin Epigenetics Research BACKGROUND: Obesity and diabetes mellitus are directly implicated in many adverse health consequences in adults as well as in the offspring of obese and diabetic mothers. Hispanic Americans are particularly at risk for obesity, diabetes, and end-stage renal disease. Maternal obesity and/or diabetes through prenatal programming may alter the fetal epigenome increasing the risk of metabolic disease in their offspring. The aims of this study were to determine if maternal obesity or diabetes mellitus during pregnancy results in a change in infant methylation of CpG islands adjacent to targeted genes specific for obesity or diabetes disease pathways in a largely Hispanic population. METHODS: Methylation levels in the cord blood of 69 newborns were determined using the Illumina Infinium MethylationEPIC BeadChip. Over 850,000 different probe sites were analyzed to determine whether maternal obesity and/or diabetes mellitus directly attributed to differential methylation; epigenome-wide and regional analyses were performed for significant CpG sites. RESULTS: Following quality control, agranular leukocyte samples from 69 newborns (23 normal term (NT), 14 diabetes (DM), 23 obese (OB), 9 DM/OB) were analyzed for over 850,000 different probe sites. Contrasts between the NT, DM, OB, and DM/OB were considered. After correction for multiple testing, 15 CpGs showed differential methylation from the NT, associated with 10 differentially methylated genes between the diabetic and non-diabetic subgroups, CCDC110, KALRN, PAG1, GNRH1, SLC2A9, CSRP2BP, HIVEP1, RALGDS, DHX37, and SCNN1D. The effects of diabetes were partly mediated by the altered methylation of HOOK2, LCE3C, and TMEM63B. The effects of obesity were partly mediated by the differential methylation of LTF and DUSP22. CONCLUSIONS: The presented data highlights the associated altered methylation patterns potentially mediated by maternal diabetes and/or obesity. Larger studies are warranted to investigate the role of both the identified differentially methylated loci and the effects on newborn body composition and future health risk factors for metabolic disease. Additional future consideration should be targeted to the role of Hispanic inheritance. Potential future targeting of transgenerational propagation and developmental programming may reduce population obesity and diabetes risk. BioMed Central 2020-02-19 /pmc/articles/PMC7031937/ /pubmed/32075680 http://dx.doi.org/10.1186/s13148-020-0824-9 Text en © The Author(s). 2020 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 Rizzo, Heather E. Escaname, Elia N. Alana, Nicholas B. Lavender, Elizabeth Gelfond, Jonathan Fernandez, Roman Hibbs, Matthew A. King, Jonathan M. Carr, Nicholas R. Blanco, Cynthia L. Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population |
title | Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population |
title_full | Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population |
title_fullStr | Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population |
title_full_unstemmed | Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population |
title_short | Maternal diabetes and obesity influence the fetal epigenome in a largely Hispanic population |
title_sort | maternal diabetes and obesity influence the fetal epigenome in a largely hispanic population |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031937/ https://www.ncbi.nlm.nih.gov/pubmed/32075680 http://dx.doi.org/10.1186/s13148-020-0824-9 |
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