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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...

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Autores principales: Gao, Yaning, Chen, Liang, Li, Jian, Wen, Zhengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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.
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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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