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Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study
BACKGROUND: Diabetic wound (DW) treatment is a serious challenge for clinicians, and the underlying mechanisms of DWs remain elusive. We sought to identify the critical genes in the development of DWs and provide potential targets for DW therapies. MATERIAL/METHODS: Datasets of GSE38396 from the Gen...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754692/ https://www.ncbi.nlm.nih.gov/pubmed/33338031 http://dx.doi.org/10.12659/MSM.928788 |
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author | Qi, Sha Han, Qiong Xing, Danmou Qian, Long Yu, Xiang Ren, Dong Wang, Huan Chen, Quan |
author_facet | Qi, Sha Han, Qiong Xing, Danmou Qian, Long Yu, Xiang Ren, Dong Wang, Huan Chen, Quan |
author_sort | Qi, Sha |
collection | PubMed |
description | BACKGROUND: Diabetic wound (DW) treatment is a serious challenge for clinicians, and the underlying mechanisms of DWs remain elusive. We sought to identify the critical genes in the development of DWs and provide potential targets for DW therapies. MATERIAL/METHODS: Datasets of GSE38396 from the Gene Expression Omnibus (GEO) database were reviewed. Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology term analyses were carried out, and Cytoscape software (Cytoscape 3.7.2) was used to construct the protein interaction network. Serum samples from patients with diabetes and control participants were collected, and the expression of estrogen receptor 1 (ESR1) was measured by quantitative reverse-transcription polymerase chain reaction. In addition, the function of ESR1 in human skin fibroblasts was investigated in vitro. RESULTS: Eight samples were analyzed using the Morpheus online tool, which identified 637 upregulated and 448 downregulated differentially expressed genes. The top 5 KEGG pathways of upregulated differentially expressed genes were associated with sphingolipid metabolism, estrogen signaling, ECM-receptor interaction, MAPK signaling, and PI3K-Akt signaling. The hub genes for DWs were JUN, ESR1, CD44, SMARCA4, MMP2, BMP4, GSK3B, WDR5, PTK2, and PTGS2. JUN, MMP2, and ESR1 were the upregulated hub genes, and ESR1 was found to be consistently enriched in DW patients. Inhibition of ESR1 had a stimulative role in human skin fibroblasts. CONCLUSIONS: ESR1 was identified as a crucial gene in the development of DWs, which suggests potential therapeutic targets for DW healing. |
format | Online Article Text |
id | pubmed-7754692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77546922020-12-30 Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study Qi, Sha Han, Qiong Xing, Danmou Qian, Long Yu, Xiang Ren, Dong Wang, Huan Chen, Quan Med Sci Monit Database Analysis BACKGROUND: Diabetic wound (DW) treatment is a serious challenge for clinicians, and the underlying mechanisms of DWs remain elusive. We sought to identify the critical genes in the development of DWs and provide potential targets for DW therapies. MATERIAL/METHODS: Datasets of GSE38396 from the Gene Expression Omnibus (GEO) database were reviewed. Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology term analyses were carried out, and Cytoscape software (Cytoscape 3.7.2) was used to construct the protein interaction network. Serum samples from patients with diabetes and control participants were collected, and the expression of estrogen receptor 1 (ESR1) was measured by quantitative reverse-transcription polymerase chain reaction. In addition, the function of ESR1 in human skin fibroblasts was investigated in vitro. RESULTS: Eight samples were analyzed using the Morpheus online tool, which identified 637 upregulated and 448 downregulated differentially expressed genes. The top 5 KEGG pathways of upregulated differentially expressed genes were associated with sphingolipid metabolism, estrogen signaling, ECM-receptor interaction, MAPK signaling, and PI3K-Akt signaling. The hub genes for DWs were JUN, ESR1, CD44, SMARCA4, MMP2, BMP4, GSK3B, WDR5, PTK2, and PTGS2. JUN, MMP2, and ESR1 were the upregulated hub genes, and ESR1 was found to be consistently enriched in DW patients. Inhibition of ESR1 had a stimulative role in human skin fibroblasts. CONCLUSIONS: ESR1 was identified as a crucial gene in the development of DWs, which suggests potential therapeutic targets for DW healing. International Scientific Literature, Inc. 2020-12-18 /pmc/articles/PMC7754692/ /pubmed/33338031 http://dx.doi.org/10.12659/MSM.928788 Text en © Med Sci Monit, 2020 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) |
spellingShingle | Database Analysis Qi, Sha Han, Qiong Xing, Danmou Qian, Long Yu, Xiang Ren, Dong Wang, Huan Chen, Quan Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study |
title | Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study |
title_full | Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study |
title_fullStr | Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study |
title_full_unstemmed | Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study |
title_short | Functional Analysis of Estrogen Receptor 1 in Diabetic Wound Healing: A Knockdown Cell-Based and Bioinformatic Study |
title_sort | functional analysis of estrogen receptor 1 in diabetic wound healing: a knockdown cell-based and bioinformatic study |
topic | Database Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754692/ https://www.ncbi.nlm.nih.gov/pubmed/33338031 http://dx.doi.org/10.12659/MSM.928788 |
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