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Classification of subtypes and identification of dysregulated genes in sepsis
BACKGROUND: Sepsis is a clinical syndrome with high mortality. Subtype identification in sepsis is meaningful for improving the diagnosis and treatment of patients. The purpose of this research was to identify subtypes of sepsis using RNA-seq datasets and further explore key genes that were deregula...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475835/ https://www.ncbi.nlm.nih.gov/pubmed/37671148 http://dx.doi.org/10.3389/fcimb.2023.1226159 |
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author | Tong, Ran Ding, Xianfei Liu, Fengyu Li, Hongyi Liu, Huan Song, Heng Wang, Yuze Zhang, Xiaojuan Liu, Shaohua Sun, Tongwen |
author_facet | Tong, Ran Ding, Xianfei Liu, Fengyu Li, Hongyi Liu, Huan Song, Heng Wang, Yuze Zhang, Xiaojuan Liu, Shaohua Sun, Tongwen |
author_sort | Tong, Ran |
collection | PubMed |
description | BACKGROUND: Sepsis is a clinical syndrome with high mortality. Subtype identification in sepsis is meaningful for improving the diagnosis and treatment of patients. The purpose of this research was to identify subtypes of sepsis using RNA-seq datasets and further explore key genes that were deregulated during the development of sepsis. METHODS: The datasets GSE95233 and GSE13904 were obtained from the Gene Expression Omnibus database. Differential analysis of the gene expression matrix was performed between sepsis patients and healthy controls. Intersection analysis of differentially expressed genes was applied to identify common differentially expressed genes for enrichment analysis and gene set variation analysis. Obvious differential pathways between sepsis patients and healthy controls were identified, as were developmental stages during sepsis. Then, key dysregulated genes were revealed by short time-series analysis and the least absolute shrinkage and selection operator model. In addition, the MCPcounter package was used to assess infiltrating immunocytes. Finally, the dysregulated genes identified were verified using 69 clinical samples. RESULTS: A total of 898 common differentially expressed genes were obtained, which were chiefly related to increased metabolic responses and decreased immune responses. The two differential pathways (angiogenesis and myc targets v2) were screened on the basis of gene set variation analysis scores. Four subgroups were identified according to median expression of angiogenesis and myc target v2 genes: normal, myc target v2, mixed-quiescent, and angiogenesis. The genes CHPT1, CPEB4, DNAJC3, MAFG, NARF, SNX3, S100A9, S100A12, and METTL9 were recognized as being progressively dysregulated in sepsis. Furthermore, most types of immune cells showed low infiltration in sepsis patients and had a significant correlation with the key genes. Importantly, all nine key genes were highly expressed in sepsis patients. CONCLUSION: This study revealed novel insight into sepsis subtypes and identified nine dysregulated genes associated with immune status in the development of sepsis. This study provides potential molecular targets for the diagnosis and treatment of sepsis. |
format | Online Article Text |
id | pubmed-10475835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104758352023-09-05 Classification of subtypes and identification of dysregulated genes in sepsis Tong, Ran Ding, Xianfei Liu, Fengyu Li, Hongyi Liu, Huan Song, Heng Wang, Yuze Zhang, Xiaojuan Liu, Shaohua Sun, Tongwen Front Cell Infect Microbiol Cellular and Infection Microbiology BACKGROUND: Sepsis is a clinical syndrome with high mortality. Subtype identification in sepsis is meaningful for improving the diagnosis and treatment of patients. The purpose of this research was to identify subtypes of sepsis using RNA-seq datasets and further explore key genes that were deregulated during the development of sepsis. METHODS: The datasets GSE95233 and GSE13904 were obtained from the Gene Expression Omnibus database. Differential analysis of the gene expression matrix was performed between sepsis patients and healthy controls. Intersection analysis of differentially expressed genes was applied to identify common differentially expressed genes for enrichment analysis and gene set variation analysis. Obvious differential pathways between sepsis patients and healthy controls were identified, as were developmental stages during sepsis. Then, key dysregulated genes were revealed by short time-series analysis and the least absolute shrinkage and selection operator model. In addition, the MCPcounter package was used to assess infiltrating immunocytes. Finally, the dysregulated genes identified were verified using 69 clinical samples. RESULTS: A total of 898 common differentially expressed genes were obtained, which were chiefly related to increased metabolic responses and decreased immune responses. The two differential pathways (angiogenesis and myc targets v2) were screened on the basis of gene set variation analysis scores. Four subgroups were identified according to median expression of angiogenesis and myc target v2 genes: normal, myc target v2, mixed-quiescent, and angiogenesis. The genes CHPT1, CPEB4, DNAJC3, MAFG, NARF, SNX3, S100A9, S100A12, and METTL9 were recognized as being progressively dysregulated in sepsis. Furthermore, most types of immune cells showed low infiltration in sepsis patients and had a significant correlation with the key genes. Importantly, all nine key genes were highly expressed in sepsis patients. CONCLUSION: This study revealed novel insight into sepsis subtypes and identified nine dysregulated genes associated with immune status in the development of sepsis. This study provides potential molecular targets for the diagnosis and treatment of sepsis. Frontiers Media S.A. 2023-08-21 /pmc/articles/PMC10475835/ /pubmed/37671148 http://dx.doi.org/10.3389/fcimb.2023.1226159 Text en Copyright © 2023 Tong, Ding, Liu, Li, Liu, Song, Wang, Zhang, Liu and Sun https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Tong, Ran Ding, Xianfei Liu, Fengyu Li, Hongyi Liu, Huan Song, Heng Wang, Yuze Zhang, Xiaojuan Liu, Shaohua Sun, Tongwen Classification of subtypes and identification of dysregulated genes in sepsis |
title | Classification of subtypes and identification of dysregulated genes in sepsis |
title_full | Classification of subtypes and identification of dysregulated genes in sepsis |
title_fullStr | Classification of subtypes and identification of dysregulated genes in sepsis |
title_full_unstemmed | Classification of subtypes and identification of dysregulated genes in sepsis |
title_short | Classification of subtypes and identification of dysregulated genes in sepsis |
title_sort | classification of subtypes and identification of dysregulated genes in sepsis |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475835/ https://www.ncbi.nlm.nih.gov/pubmed/37671148 http://dx.doi.org/10.3389/fcimb.2023.1226159 |
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