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Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease
The effectiveness of corticosteroids (GCs) varies greatly in interstitial lung diseases (ILDs). In this study, we aimed to compare the gene expression profiles of patients with cryptogenic organizing pneumonia (COP), idiopathic pulmonary fibrosis (IPF), and non-specific interstitial pneumonia (NSIP)...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673734/ https://www.ncbi.nlm.nih.gov/pubmed/37561311 http://dx.doi.org/10.1007/s10753-023-01866-7 |
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author | Lu, Yanjiao Tang, Kun Wang, Shanshan Gao, Pengfei Tian, Zhen Wang, Meijia Chen, Jinkun Xiao, Chengfeng Zhao, Jianping Xie, Jungang |
author_facet | Lu, Yanjiao Tang, Kun Wang, Shanshan Gao, Pengfei Tian, Zhen Wang, Meijia Chen, Jinkun Xiao, Chengfeng Zhao, Jianping Xie, Jungang |
author_sort | Lu, Yanjiao |
collection | PubMed |
description | The effectiveness of corticosteroids (GCs) varies greatly in interstitial lung diseases (ILDs). In this study, we aimed to compare the gene expression profiles of patients with cryptogenic organizing pneumonia (COP), idiopathic pulmonary fibrosis (IPF), and non-specific interstitial pneumonia (NSIP) and identify the molecules and pathways responsible for GCs sensitivity in ILDs. Three datasets (GSE21411, GSE47460, and GSE32537) were selected. Differentially expressed genes (DEGs) among COP, IPF, NSIP, and healthy control (CTRL) groups were identified. Functional enrichment analysis and protein–protein interaction network analysis were performed to examine the potential functions of DEGs. There were 128 DEGs when COP versus CTRL, 257 DEGs when IPF versus CTRL, 205 DEGs when NSIP versus CTRL, and 270 DEGs when COP versus IPF. The DEGs in different ILDs groups were mainly enriched in the inflammatory response. Further pathway analysis showed that “interleukin (IL)-17 signaling pathway” (hsa04657) and “tumor necrosis factor (TNF) signaling pathway” were associated with different types of ILDs. A total of 10 genes associated with inflammatory response were identified as hub genes and their expression levels in the IPF group were higher than those in the COP group. Finally, we identified two GCs’ response-related differently expressed genes (FOSL1 and DDIT4). Our bioinformatics analysis demonstrated that the inflammatory response played a pathogenic role in the progression of ILDs. We also illustrated that the inflammatory reaction was more severe in the IPF group compared to the COP group and identified two GCs’ response-related differently expressed genes (FOSL1 and DDIT4) in ILDs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10753-023-01866-7. |
format | Online Article Text |
id | pubmed-10673734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-106737342023-08-10 Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease Lu, Yanjiao Tang, Kun Wang, Shanshan Gao, Pengfei Tian, Zhen Wang, Meijia Chen, Jinkun Xiao, Chengfeng Zhao, Jianping Xie, Jungang Inflammation Original Article The effectiveness of corticosteroids (GCs) varies greatly in interstitial lung diseases (ILDs). In this study, we aimed to compare the gene expression profiles of patients with cryptogenic organizing pneumonia (COP), idiopathic pulmonary fibrosis (IPF), and non-specific interstitial pneumonia (NSIP) and identify the molecules and pathways responsible for GCs sensitivity in ILDs. Three datasets (GSE21411, GSE47460, and GSE32537) were selected. Differentially expressed genes (DEGs) among COP, IPF, NSIP, and healthy control (CTRL) groups were identified. Functional enrichment analysis and protein–protein interaction network analysis were performed to examine the potential functions of DEGs. There were 128 DEGs when COP versus CTRL, 257 DEGs when IPF versus CTRL, 205 DEGs when NSIP versus CTRL, and 270 DEGs when COP versus IPF. The DEGs in different ILDs groups were mainly enriched in the inflammatory response. Further pathway analysis showed that “interleukin (IL)-17 signaling pathway” (hsa04657) and “tumor necrosis factor (TNF) signaling pathway” were associated with different types of ILDs. A total of 10 genes associated with inflammatory response were identified as hub genes and their expression levels in the IPF group were higher than those in the COP group. Finally, we identified two GCs’ response-related differently expressed genes (FOSL1 and DDIT4). Our bioinformatics analysis demonstrated that the inflammatory response played a pathogenic role in the progression of ILDs. We also illustrated that the inflammatory reaction was more severe in the IPF group compared to the COP group and identified two GCs’ response-related differently expressed genes (FOSL1 and DDIT4) in ILDs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10753-023-01866-7. Springer US 2023-08-10 2023 /pmc/articles/PMC10673734/ /pubmed/37561311 http://dx.doi.org/10.1007/s10753-023-01866-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Original Article Lu, Yanjiao Tang, Kun Wang, Shanshan Gao, Pengfei Tian, Zhen Wang, Meijia Chen, Jinkun Xiao, Chengfeng Zhao, Jianping Xie, Jungang Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease |
title | Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease |
title_full | Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease |
title_fullStr | Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease |
title_full_unstemmed | Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease |
title_short | Genetic Programs Between Steroid-Sensitive and Steroid-Insensitive Interstitial Lung Disease |
title_sort | genetic programs between steroid-sensitive and steroid-insensitive interstitial lung disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673734/ https://www.ncbi.nlm.nih.gov/pubmed/37561311 http://dx.doi.org/10.1007/s10753-023-01866-7 |
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