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A prognosis prediction chromatin regulator signature for patients with severe asthma
Severe asthma imposes a physical and economic burden on both patients and society. As chromatin regulators (CRs) influence the progression of multiple diseases through epigenetic mechanisms, we aimed to study the role of CRs in patients with severe asthma. Transcriptome data (GSE143303) from 47 pati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224303/ https://www.ncbi.nlm.nih.gov/pubmed/37245015 http://dx.doi.org/10.1186/s13223-023-00796-1 |
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author | Gao, Yaning Chen, Liang Li, Jian Wen, Zhengjun |
author_facet | Gao, Yaning Chen, Liang Li, Jian Wen, Zhengjun |
author_sort | Gao, Yaning |
collection | PubMed |
description | Severe asthma imposes a physical and economic burden on both patients and society. As chromatin regulators (CRs) influence the progression of multiple diseases through epigenetic mechanisms, we aimed to study the role of CRs in patients with severe asthma. Transcriptome data (GSE143303) from 47 patients with severe asthma and 13 healthy participants was downloaded from the Gene Expression Omnibus database. Enrichment analysis was performed to investigate the functions of differentially expressed CRs between the groups. We identified 80 differentially expressed CRs; they were mainly enriched in histone modification, chromatin organization, and lysine degradation. A protein–protein interaction network was then constructed. The analyzed immune scores were different between sick and healthy individuals. Thus, CRs with a high correlation in the immune analysis, SMARCC1, SETD2, KMT2B, and CHD8, were used to construct a nomogram model. Finally, using online prediction tools, we determined that lanatoside C, cefepime, and methapyrilene may be potentially effective drugs in the treatment of severe asthma. The nomogram constructed using the four CRs, SMARCC1, SETD2, KMT2B, and CHD8, may be a useful tool for predicting the prognosis of patients with severe asthma. This study provided new insights into the role of CRs in severe asthma. |
format | Online Article Text |
id | pubmed-10224303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102243032023-05-28 A prognosis prediction chromatin regulator signature for patients with severe asthma Gao, Yaning Chen, Liang Li, Jian Wen, Zhengjun Allergy Asthma Clin Immunol Research Severe asthma imposes a physical and economic burden on both patients and society. As chromatin regulators (CRs) influence the progression of multiple diseases through epigenetic mechanisms, we aimed to study the role of CRs in patients with severe asthma. Transcriptome data (GSE143303) from 47 patients with severe asthma and 13 healthy participants was downloaded from the Gene Expression Omnibus database. Enrichment analysis was performed to investigate the functions of differentially expressed CRs between the groups. We identified 80 differentially expressed CRs; they were mainly enriched in histone modification, chromatin organization, and lysine degradation. A protein–protein interaction network was then constructed. The analyzed immune scores were different between sick and healthy individuals. Thus, CRs with a high correlation in the immune analysis, SMARCC1, SETD2, KMT2B, and CHD8, were used to construct a nomogram model. Finally, using online prediction tools, we determined that lanatoside C, cefepime, and methapyrilene may be potentially effective drugs in the treatment of severe asthma. The nomogram constructed using the four CRs, SMARCC1, SETD2, KMT2B, and CHD8, may be a useful tool for predicting the prognosis of patients with severe asthma. This study provided new insights into the role of CRs in severe asthma. BioMed Central 2023-05-27 /pmc/articles/PMC10224303/ /pubmed/37245015 http://dx.doi.org/10.1186/s13223-023-00796-1 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/) . 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 Gao, Yaning Chen, Liang Li, Jian Wen, Zhengjun A prognosis prediction chromatin regulator signature for patients with severe asthma |
title | A prognosis prediction chromatin regulator signature for patients with severe asthma |
title_full | A prognosis prediction chromatin regulator signature for patients with severe asthma |
title_fullStr | A prognosis prediction chromatin regulator signature for patients with severe asthma |
title_full_unstemmed | A prognosis prediction chromatin regulator signature for patients with severe asthma |
title_short | A prognosis prediction chromatin regulator signature for patients with severe asthma |
title_sort | prognosis prediction chromatin regulator signature for patients with severe asthma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224303/ https://www.ncbi.nlm.nih.gov/pubmed/37245015 http://dx.doi.org/10.1186/s13223-023-00796-1 |
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