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Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis
RNA N6-methladenosine (m6A) regulators are required for a variety of biological processes, including immune responses, and increasing evidence indicates that their dysregulation is closely associated with many diseases. However, the potential roles of m6A regulators in sepsis remain unknown. We comp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925440/ https://www.ncbi.nlm.nih.gov/pubmed/36781867 http://dx.doi.org/10.1038/s41598-022-27039-4 |
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author | Li, Fenghui Zhang, Yuan Peng, Zhiyun Wang, Yingjing Zeng, Zhaoshang Tang, Zhongxiang |
author_facet | Li, Fenghui Zhang, Yuan Peng, Zhiyun Wang, Yingjing Zeng, Zhaoshang Tang, Zhongxiang |
author_sort | Li, Fenghui |
collection | PubMed |
description | RNA N6-methladenosine (m6A) regulators are required for a variety of biological processes, including immune responses, and increasing evidence indicates that their dysregulation is closely associated with many diseases. However, the potential roles of m6A regulators in sepsis remain unknown. We comprehensively analyzed the transcriptional variations in and interactions of 26 m6A regulators in sepsis based on the Gene Expression Omnibus (GEO) database. A random forest (RF) model and nomogram were established to predict the occurrence and risk of sepsis in patients. Then, two different m6A subtypes were defined by consensus clustering analysis, and we explored the correlation between the subtypes and immune cells. We found that 17 of the 26 m6A regulators were significantly differentially expressed between patients with and without sepsis, and strong correlations among these 17 m6A regulators were revealed. Compared with the support vector machine (SVM) model, the RF model had better predictive ability, and therefore was used to construct a reliable nomogram containing 10 candidate m6A regulators to predict the risk of sepsis in patients. In addition, a consensus clustering algorithm was used to identify two different subtypes of m6A, which helped us distinguish different levels of immune cell infiltration and inflammation in patients with sepsis. Comprehensive analysis of m6A regulators in sepsis revealed their potential roles in sepsis occurrence, immune cell infiltration and inflammation in patients with sepsis. This study may contribute to the development of follow-up treatment strategies for sepsis. |
format | Online Article Text |
id | pubmed-9925440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99254402023-02-15 Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis Li, Fenghui Zhang, Yuan Peng, Zhiyun Wang, Yingjing Zeng, Zhaoshang Tang, Zhongxiang Sci Rep Article RNA N6-methladenosine (m6A) regulators are required for a variety of biological processes, including immune responses, and increasing evidence indicates that their dysregulation is closely associated with many diseases. However, the potential roles of m6A regulators in sepsis remain unknown. We comprehensively analyzed the transcriptional variations in and interactions of 26 m6A regulators in sepsis based on the Gene Expression Omnibus (GEO) database. A random forest (RF) model and nomogram were established to predict the occurrence and risk of sepsis in patients. Then, two different m6A subtypes were defined by consensus clustering analysis, and we explored the correlation between the subtypes and immune cells. We found that 17 of the 26 m6A regulators were significantly differentially expressed between patients with and without sepsis, and strong correlations among these 17 m6A regulators were revealed. Compared with the support vector machine (SVM) model, the RF model had better predictive ability, and therefore was used to construct a reliable nomogram containing 10 candidate m6A regulators to predict the risk of sepsis in patients. In addition, a consensus clustering algorithm was used to identify two different subtypes of m6A, which helped us distinguish different levels of immune cell infiltration and inflammation in patients with sepsis. Comprehensive analysis of m6A regulators in sepsis revealed their potential roles in sepsis occurrence, immune cell infiltration and inflammation in patients with sepsis. This study may contribute to the development of follow-up treatment strategies for sepsis. Nature Publishing Group UK 2023-02-13 /pmc/articles/PMC9925440/ /pubmed/36781867 http://dx.doi.org/10.1038/s41598-022-27039-4 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 | Article Li, Fenghui Zhang, Yuan Peng, Zhiyun Wang, Yingjing Zeng, Zhaoshang Tang, Zhongxiang Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis |
title | Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis |
title_full | Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis |
title_fullStr | Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis |
title_full_unstemmed | Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis |
title_short | Diagnostic, clustering, and immune cell infiltration analysis of m6A regulators in patients with sepsis |
title_sort | diagnostic, clustering, and immune cell infiltration analysis of m6a regulators in patients with sepsis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925440/ https://www.ncbi.nlm.nih.gov/pubmed/36781867 http://dx.doi.org/10.1038/s41598-022-27039-4 |
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