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DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes

BACKGROUND: Asthma is a chronic inflammatory disorder of the airways involving many different factors. This study aimed to screen for the critical genes using DNA methylation/CpGs and miRNAs involved in childhood atopic asthma. METHODS: DNA methylation and gene expression data (Access Numbers GSE407...

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Autores principales: Chen, Rui, Piao, Li-Zhen, Liu, Ling, Zhang, Xiao-Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444351/
https://www.ncbi.nlm.nih.gov/pubmed/34525985
http://dx.doi.org/10.1186/s12890-021-01655-8
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author Chen, Rui
Piao, Li-Zhen
Liu, Ling
Zhang, Xiao-Fei
author_facet Chen, Rui
Piao, Li-Zhen
Liu, Ling
Zhang, Xiao-Fei
author_sort Chen, Rui
collection PubMed
description BACKGROUND: Asthma is a chronic inflammatory disorder of the airways involving many different factors. This study aimed to screen for the critical genes using DNA methylation/CpGs and miRNAs involved in childhood atopic asthma. METHODS: DNA methylation and gene expression data (Access Numbers GSE40732 and GSE40576) were downloaded from the Gene Expression Omnibus database. Each set contains 194 peripheral blood mononuclear cell (PBMC) samples of 97 children with atopic asthma and 97 control children. Differentially expressed genes (DEGs) with DNA methylation changes were identified. Pearson correlation analysis was used to select genes with an opposite direction of expression and differences in methylation levels, and then Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed. Protein–protein interaction network and miRNA–target gene regulatory networks were then constructed. Finally, important genes related to asthma were screened. RESULTS: A total of 130 critical DEGs with DNA methylation changes were screened from children with atopic asthma and compared with control samples from healthy children. GO and KEGG pathway enrichment analysis found that critical genes were primarily related to 24 GO terms and 10 KEGG pathways. In the miRNA–target gene regulatory networks, 9 KEGG pathways were identified. Analysis of the miRNA–target gene network noted an overlapping KEGG signaling pathway, hsa04060: cytokine-cytokine receptor interaction, in which the gene CCL2, directly related to asthma, was involved. This gene is targeted by eight asthma related miRNAs (hsa-miR-206, hsa-miR-19a, hsa-miR-9,hsa-miR-22, hsa-miR-33b, hsa-miR-122, hsa-miR-1, and hsa-miR-23b). The genes IL2RG and CCl4 were also involved in this pathway. CONCLUSIONS: The present study provides a novel insight into the underlying molecular mechanism of childhood atopic asthma.
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spelling pubmed-84443512021-09-16 DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes Chen, Rui Piao, Li-Zhen Liu, Ling Zhang, Xiao-Fei BMC Pulm Med Research Article BACKGROUND: Asthma is a chronic inflammatory disorder of the airways involving many different factors. This study aimed to screen for the critical genes using DNA methylation/CpGs and miRNAs involved in childhood atopic asthma. METHODS: DNA methylation and gene expression data (Access Numbers GSE40732 and GSE40576) were downloaded from the Gene Expression Omnibus database. Each set contains 194 peripheral blood mononuclear cell (PBMC) samples of 97 children with atopic asthma and 97 control children. Differentially expressed genes (DEGs) with DNA methylation changes were identified. Pearson correlation analysis was used to select genes with an opposite direction of expression and differences in methylation levels, and then Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed. Protein–protein interaction network and miRNA–target gene regulatory networks were then constructed. Finally, important genes related to asthma were screened. RESULTS: A total of 130 critical DEGs with DNA methylation changes were screened from children with atopic asthma and compared with control samples from healthy children. GO and KEGG pathway enrichment analysis found that critical genes were primarily related to 24 GO terms and 10 KEGG pathways. In the miRNA–target gene regulatory networks, 9 KEGG pathways were identified. Analysis of the miRNA–target gene network noted an overlapping KEGG signaling pathway, hsa04060: cytokine-cytokine receptor interaction, in which the gene CCL2, directly related to asthma, was involved. This gene is targeted by eight asthma related miRNAs (hsa-miR-206, hsa-miR-19a, hsa-miR-9,hsa-miR-22, hsa-miR-33b, hsa-miR-122, hsa-miR-1, and hsa-miR-23b). The genes IL2RG and CCl4 were also involved in this pathway. CONCLUSIONS: The present study provides a novel insight into the underlying molecular mechanism of childhood atopic asthma. BioMed Central 2021-09-15 /pmc/articles/PMC8444351/ /pubmed/34525985 http://dx.doi.org/10.1186/s12890-021-01655-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chen, Rui
Piao, Li-Zhen
Liu, Ling
Zhang, Xiao-Fei
DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes
title DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes
title_full DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes
title_fullStr DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes
title_full_unstemmed DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes
title_short DNA methylation and gene expression profiles to identify childhood atopic asthma associated genes
title_sort dna methylation and gene expression profiles to identify childhood atopic asthma associated genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444351/
https://www.ncbi.nlm.nih.gov/pubmed/34525985
http://dx.doi.org/10.1186/s12890-021-01655-8
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