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Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus
Gestational diabetes mellitus (GDM) has a high prevalence during pregnancy. This research aims to identify genes and their pathways related to GDM by combining bioinformatics analysis. The DNA methylation and gene expression profiles data set was obtained from Gene Expression Omnibus. Differentially...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257864/ https://www.ncbi.nlm.nih.gov/pubmed/34190178 http://dx.doi.org/10.1097/MD.0000000000026497 |
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author | He, Jing Liu, Kang Hou, Xiaohong Lu, Jieqiang |
author_facet | He, Jing Liu, Kang Hou, Xiaohong Lu, Jieqiang |
author_sort | He, Jing |
collection | PubMed |
description | Gestational diabetes mellitus (GDM) has a high prevalence during pregnancy. This research aims to identify genes and their pathways related to GDM by combining bioinformatics analysis. The DNA methylation and gene expression profiles data set was obtained from Gene Expression Omnibus. Differentially expressed genes (DEG) and differentially methylated genes (DMG) were screened by R package limma. The methylation-regulated differentially expressed genes (MeDEGs) were obtained by overlapping the DEGs and DMGs. A protein–protein interaction network was constructed using the search tool for searching interacting genes. The results are visualized in Cytoscape. Disease-related miRNAs and pathways were retrieved from Human MicroRNA Disease Database and Comparative Toxic Genome Database. Real-time quantitative PCR further verified the expression changes of these genes in GDM tissues and normal tissues. After overlapping DEGs and DMGs, 138 MeDEGs were identified. These genes were mainly enriched in the biological processes of the “immune response,” “defense response,” and “response to wounding.” Pathway enrichment shows that these genes are involved in “Antigen processing and presentation,” “Graft-versus-host disease,” “Type I diabetes mellitus,” and “Allograft rejection.” Six mRNAs (including superoxide dismutase 2 (SOD2), mitogen-activated protein kinase kinase kinase kinase 3 (MAP4K3), dual specificity phosphatase 5 (DUSP5), p21-activated kinases 2 (PAK2), serine protease inhibitor clade E member 1 (SERPINE1), and protein phosphatase 1 regulatory subunit 15B (PPP1R15B)) were identified as being related to GDM. The results obtained by real-time quantitative PCR are consistent with the results of the microarray analysis. This study identified new types of MeDEGs and discovered their related pathways and functions in GDM, which may be used as molecular targets and diagnostic biomarkers for the precise diagnosis and treatment of GDM. |
format | Online Article Text |
id | pubmed-8257864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82578642021-07-08 Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus He, Jing Liu, Kang Hou, Xiaohong Lu, Jieqiang Medicine (Baltimore) 5600 Gestational diabetes mellitus (GDM) has a high prevalence during pregnancy. This research aims to identify genes and their pathways related to GDM by combining bioinformatics analysis. The DNA methylation and gene expression profiles data set was obtained from Gene Expression Omnibus. Differentially expressed genes (DEG) and differentially methylated genes (DMG) were screened by R package limma. The methylation-regulated differentially expressed genes (MeDEGs) were obtained by overlapping the DEGs and DMGs. A protein–protein interaction network was constructed using the search tool for searching interacting genes. The results are visualized in Cytoscape. Disease-related miRNAs and pathways were retrieved from Human MicroRNA Disease Database and Comparative Toxic Genome Database. Real-time quantitative PCR further verified the expression changes of these genes in GDM tissues and normal tissues. After overlapping DEGs and DMGs, 138 MeDEGs were identified. These genes were mainly enriched in the biological processes of the “immune response,” “defense response,” and “response to wounding.” Pathway enrichment shows that these genes are involved in “Antigen processing and presentation,” “Graft-versus-host disease,” “Type I diabetes mellitus,” and “Allograft rejection.” Six mRNAs (including superoxide dismutase 2 (SOD2), mitogen-activated protein kinase kinase kinase kinase 3 (MAP4K3), dual specificity phosphatase 5 (DUSP5), p21-activated kinases 2 (PAK2), serine protease inhibitor clade E member 1 (SERPINE1), and protein phosphatase 1 regulatory subunit 15B (PPP1R15B)) were identified as being related to GDM. The results obtained by real-time quantitative PCR are consistent with the results of the microarray analysis. This study identified new types of MeDEGs and discovered their related pathways and functions in GDM, which may be used as molecular targets and diagnostic biomarkers for the precise diagnosis and treatment of GDM. Lippincott Williams & Wilkins 2021-07-02 /pmc/articles/PMC8257864/ /pubmed/34190178 http://dx.doi.org/10.1097/MD.0000000000026497 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 5600 He, Jing Liu, Kang Hou, Xiaohong Lu, Jieqiang Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus |
title | Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus |
title_full | Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus |
title_fullStr | Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus |
title_full_unstemmed | Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus |
title_short | Comprehensive analysis of DNA methylation and gene expression profiles in gestational diabetes mellitus |
title_sort | comprehensive analysis of dna methylation and gene expression profiles in gestational diabetes mellitus |
topic | 5600 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8257864/ https://www.ncbi.nlm.nih.gov/pubmed/34190178 http://dx.doi.org/10.1097/MD.0000000000026497 |
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