Cargando…

Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity

The magnitude of the childhood obesity epidemic and its effects on public health has accelerated the pursuit of practical preventative measures. Epigenetics is one subject that holds a lot of promise, despite being relatively new. The study of potentially heritable variations in gene expression that...

Descripción completa

Detalles Bibliográficos
Autores principales: Patel, Priyadarshni, Selvaraju, Vaithinathan, Babu, Jeganathan Ramesh, Wang, Xu, Geetha, Thangiah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218285/
https://www.ncbi.nlm.nih.gov/pubmed/37239458
http://dx.doi.org/10.3390/genes14051098
_version_ 1785048737787150336
author Patel, Priyadarshni
Selvaraju, Vaithinathan
Babu, Jeganathan Ramesh
Wang, Xu
Geetha, Thangiah
author_facet Patel, Priyadarshni
Selvaraju, Vaithinathan
Babu, Jeganathan Ramesh
Wang, Xu
Geetha, Thangiah
author_sort Patel, Priyadarshni
collection PubMed
description The magnitude of the childhood obesity epidemic and its effects on public health has accelerated the pursuit of practical preventative measures. Epigenetics is one subject that holds a lot of promise, despite being relatively new. The study of potentially heritable variations in gene expression that do not require modifications to the underlying DNA sequence is known as epigenetics. Here, we used Illumina MethylationEPIC BeadChip Array to identify differentially methylated regions in DNA isolated from saliva between normal weight (NW) and overweight/obese (OW/OB) children and between European American (EA) and African American (AA) children. A total of 3133 target IDs (associated with 2313 genes) were differentially methylated (p < 0.05) between NW and OW/OB children. In OW/OB children, 792 target IDs were hypermethylated and 2341 were hypomethylated compared to NW. Similarly, in the racial groups EA and AA, a total of 1239 target IDs corresponding to 739 genes were significantly differentially methylated in which 643 target IDs were hypermethylated and 596 were hypomethylated in the AA compared to EA participants. Along with this, the study identified novel genes that could contribute to the epigenetic regulation of childhood obesity.
format Online
Article
Text
id pubmed-10218285
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-102182852023-05-27 Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity Patel, Priyadarshni Selvaraju, Vaithinathan Babu, Jeganathan Ramesh Wang, Xu Geetha, Thangiah Genes (Basel) Article The magnitude of the childhood obesity epidemic and its effects on public health has accelerated the pursuit of practical preventative measures. Epigenetics is one subject that holds a lot of promise, despite being relatively new. The study of potentially heritable variations in gene expression that do not require modifications to the underlying DNA sequence is known as epigenetics. Here, we used Illumina MethylationEPIC BeadChip Array to identify differentially methylated regions in DNA isolated from saliva between normal weight (NW) and overweight/obese (OW/OB) children and between European American (EA) and African American (AA) children. A total of 3133 target IDs (associated with 2313 genes) were differentially methylated (p < 0.05) between NW and OW/OB children. In OW/OB children, 792 target IDs were hypermethylated and 2341 were hypomethylated compared to NW. Similarly, in the racial groups EA and AA, a total of 1239 target IDs corresponding to 739 genes were significantly differentially methylated in which 643 target IDs were hypermethylated and 596 were hypomethylated in the AA compared to EA participants. Along with this, the study identified novel genes that could contribute to the epigenetic regulation of childhood obesity. MDPI 2023-05-17 /pmc/articles/PMC10218285/ /pubmed/37239458 http://dx.doi.org/10.3390/genes14051098 Text en © 2023 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
Patel, Priyadarshni
Selvaraju, Vaithinathan
Babu, Jeganathan Ramesh
Wang, Xu
Geetha, Thangiah
Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity
title Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity
title_full Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity
title_fullStr Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity
title_full_unstemmed Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity
title_short Novel Differentially Methylated Regions Identified by Genome-Wide DNA Methylation Analyses Contribute to Racial Disparities in Childhood Obesity
title_sort novel differentially methylated regions identified by genome-wide dna methylation analyses contribute to racial disparities in childhood obesity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218285/
https://www.ncbi.nlm.nih.gov/pubmed/37239458
http://dx.doi.org/10.3390/genes14051098
work_keys_str_mv AT patelpriyadarshni noveldifferentiallymethylatedregionsidentifiedbygenomewidednamethylationanalysescontributetoracialdisparitiesinchildhoodobesity
AT selvarajuvaithinathan noveldifferentiallymethylatedregionsidentifiedbygenomewidednamethylationanalysescontributetoracialdisparitiesinchildhoodobesity
AT babujeganathanramesh noveldifferentiallymethylatedregionsidentifiedbygenomewidednamethylationanalysescontributetoracialdisparitiesinchildhoodobesity
AT wangxu noveldifferentiallymethylatedregionsidentifiedbygenomewidednamethylationanalysescontributetoracialdisparitiesinchildhoodobesity
AT geethathangiah noveldifferentiallymethylatedregionsidentifiedbygenomewidednamethylationanalysescontributetoracialdisparitiesinchildhoodobesity