Cargando…
Identification of key genes and pathways associated with obesity in children
The present study aimed to identify potential key genes and pathways in obese children in order to explore possible molecular mechanisms associated with child obesity. The array dataset GSE29718 was downloaded from the Gene Expression Omnibus database. Subcutaneous adipose tissue samples derived fro...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525596/ https://www.ncbi.nlm.nih.gov/pubmed/28810559 http://dx.doi.org/10.3892/etm.2017.4597 |
_version_ | 1783252665426247680 |
---|---|
author | Li, Ling Wang, Guangyu Li, Ning Yu, Haiyan Si, Jianping Wang, Jiwen |
author_facet | Li, Ling Wang, Guangyu Li, Ning Yu, Haiyan Si, Jianping Wang, Jiwen |
author_sort | Li, Ling |
collection | PubMed |
description | The present study aimed to identify potential key genes and pathways in obese children in order to explore possible molecular mechanisms associated with child obesity. The array dataset GSE29718 was downloaded from the Gene Expression Omnibus database. Subcutaneous adipose tissue samples derived from 7 obese children and 8 lean children were selected for the analysis. Differentially expressed genes (DEGs) in samples from obese children compared with those from lean children were analyzed by the limma package. Gene ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes and Reactome pathway enrichment analyses for up and downregulated genes were performed. A protein-protein interaction (PPI) network was constructed with Cytoscape software and important genes associated with obesity were determined using IRegulon. A total of 199 DEGs (79 up and 120 downregulated genes) were identified in the samples of obese children compared with those from lean children. The PPI network was established with 103 nodes and 147 protein pairs. Matrix metalloproteinase 9 (MMP9) and acetyl-CoA carboxylase β (ACACB) were identified as hub genes in the PPI network and may therefore be marker genes for child obesity. In addition, upregulated DEGs were enriched in Reactome pathways associated with the immune system. Besides, MMP9 was upregulated in immune system processes as a GO term in the category Biological Processes. The results of the present study indicated that MMP9, ACACB and immune system pathways may have a significant role in child obesity. |
format | Online Article Text |
id | pubmed-5525596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-55255962017-08-11 Identification of key genes and pathways associated with obesity in children Li, Ling Wang, Guangyu Li, Ning Yu, Haiyan Si, Jianping Wang, Jiwen Exp Ther Med Articles The present study aimed to identify potential key genes and pathways in obese children in order to explore possible molecular mechanisms associated with child obesity. The array dataset GSE29718 was downloaded from the Gene Expression Omnibus database. Subcutaneous adipose tissue samples derived from 7 obese children and 8 lean children were selected for the analysis. Differentially expressed genes (DEGs) in samples from obese children compared with those from lean children were analyzed by the limma package. Gene ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes and Reactome pathway enrichment analyses for up and downregulated genes were performed. A protein-protein interaction (PPI) network was constructed with Cytoscape software and important genes associated with obesity were determined using IRegulon. A total of 199 DEGs (79 up and 120 downregulated genes) were identified in the samples of obese children compared with those from lean children. The PPI network was established with 103 nodes and 147 protein pairs. Matrix metalloproteinase 9 (MMP9) and acetyl-CoA carboxylase β (ACACB) were identified as hub genes in the PPI network and may therefore be marker genes for child obesity. In addition, upregulated DEGs were enriched in Reactome pathways associated with the immune system. Besides, MMP9 was upregulated in immune system processes as a GO term in the category Biological Processes. The results of the present study indicated that MMP9, ACACB and immune system pathways may have a significant role in child obesity. D.A. Spandidos 2017-08 2017-06-13 /pmc/articles/PMC5525596/ /pubmed/28810559 http://dx.doi.org/10.3892/etm.2017.4597 Text en Copyright: © Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Li, Ling Wang, Guangyu Li, Ning Yu, Haiyan Si, Jianping Wang, Jiwen Identification of key genes and pathways associated with obesity in children |
title | Identification of key genes and pathways associated with obesity in children |
title_full | Identification of key genes and pathways associated with obesity in children |
title_fullStr | Identification of key genes and pathways associated with obesity in children |
title_full_unstemmed | Identification of key genes and pathways associated with obesity in children |
title_short | Identification of key genes and pathways associated with obesity in children |
title_sort | identification of key genes and pathways associated with obesity in children |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5525596/ https://www.ncbi.nlm.nih.gov/pubmed/28810559 http://dx.doi.org/10.3892/etm.2017.4597 |
work_keys_str_mv | AT liling identificationofkeygenesandpathwaysassociatedwithobesityinchildren AT wangguangyu identificationofkeygenesandpathwaysassociatedwithobesityinchildren AT lining identificationofkeygenesandpathwaysassociatedwithobesityinchildren AT yuhaiyan identificationofkeygenesandpathwaysassociatedwithobesityinchildren AT sijianping identificationofkeygenesandpathwaysassociatedwithobesityinchildren AT wangjiwen identificationofkeygenesandpathwaysassociatedwithobesityinchildren |