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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...

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Autores principales: Li, Fenghui, Zhang, Yuan, Peng, Zhiyun, Wang, Yingjing, Zeng, Zhaoshang, Tang, Zhongxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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