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Altered Genes and Biological Functions in Response to Severe Burns

Severe burns are acute wounds caused by local heat exposure, resulting in life-threatening systemic effects and poor survival. However, the specific molecular mechanisms remain unclear. First, we downloaded gene expression data related to severe burns from the GEO database (GSE19743, GSE37069, and G...

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Autores principales: Liu, Xinheng, Rong, Yongxian, Huang, Donglin, Liang, Zhijie, Yi, Xiaolin, Wu, Fangxiao, Zhu, Dandan, Mo, Steven, Nong, Wenhai, Li, Hongmian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168476/
https://www.ncbi.nlm.nih.gov/pubmed/34124262
http://dx.doi.org/10.1155/2021/8836243
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author Liu, Xinheng
Rong, Yongxian
Huang, Donglin
Liang, Zhijie
Yi, Xiaolin
Wu, Fangxiao
Zhu, Dandan
Mo, Steven
Nong, Wenhai
Li, Hongmian
author_facet Liu, Xinheng
Rong, Yongxian
Huang, Donglin
Liang, Zhijie
Yi, Xiaolin
Wu, Fangxiao
Zhu, Dandan
Mo, Steven
Nong, Wenhai
Li, Hongmian
author_sort Liu, Xinheng
collection PubMed
description Severe burns are acute wounds caused by local heat exposure, resulting in life-threatening systemic effects and poor survival. However, the specific molecular mechanisms remain unclear. First, we downloaded gene expression data related to severe burns from the GEO database (GSE19743, GSE37069, and GSE77791). Then, a gene expression analysis was performed to identify differentially expressed genes (DEGs) and construct protein-protein interaction (PPI) network. The molecular mechanism was identified by enrichment analysis and Gene Set Enrichment Analysis. In addition, STEM software was used to screen for genes persistently expressed during response to severe burns, and receiver operating characteristic (ROC) curve was used to identify key DEGs. A total of 2631 upregulated and 3451 downregulated DEGs were identified. PPI network analysis clustered these DEGs into 13 modules. Importantly, module genes mostly related with immune responses and metabolism. In addition, we identified genes persistently altered during the response to severe burns corresponding to survival and death status. Among the genes with high area under the ROC curve in the PPI network gene, CCL5 and LCK were identified as key DEGs, which may affect the prognosis of burn patients. Gene set variation analysis showed that the immune response was inhibited and several types of immune cells were decreased, while the metabolic response was enhanced. The results showed that persistent gene expression changes occur in response to severe burns, which may underlie chronic alterations in physiological pathways. Identifying the key altered genes may reveal potential therapeutic targets for mitigating the effects of severe burns.
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spelling pubmed-81684762021-06-11 Altered Genes and Biological Functions in Response to Severe Burns Liu, Xinheng Rong, Yongxian Huang, Donglin Liang, Zhijie Yi, Xiaolin Wu, Fangxiao Zhu, Dandan Mo, Steven Nong, Wenhai Li, Hongmian Biomed Res Int Research Article Severe burns are acute wounds caused by local heat exposure, resulting in life-threatening systemic effects and poor survival. However, the specific molecular mechanisms remain unclear. First, we downloaded gene expression data related to severe burns from the GEO database (GSE19743, GSE37069, and GSE77791). Then, a gene expression analysis was performed to identify differentially expressed genes (DEGs) and construct protein-protein interaction (PPI) network. The molecular mechanism was identified by enrichment analysis and Gene Set Enrichment Analysis. In addition, STEM software was used to screen for genes persistently expressed during response to severe burns, and receiver operating characteristic (ROC) curve was used to identify key DEGs. A total of 2631 upregulated and 3451 downregulated DEGs were identified. PPI network analysis clustered these DEGs into 13 modules. Importantly, module genes mostly related with immune responses and metabolism. In addition, we identified genes persistently altered during the response to severe burns corresponding to survival and death status. Among the genes with high area under the ROC curve in the PPI network gene, CCL5 and LCK were identified as key DEGs, which may affect the prognosis of burn patients. Gene set variation analysis showed that the immune response was inhibited and several types of immune cells were decreased, while the metabolic response was enhanced. The results showed that persistent gene expression changes occur in response to severe burns, which may underlie chronic alterations in physiological pathways. Identifying the key altered genes may reveal potential therapeutic targets for mitigating the effects of severe burns. Hindawi 2021-05-24 /pmc/articles/PMC8168476/ /pubmed/34124262 http://dx.doi.org/10.1155/2021/8836243 Text en Copyright © 2021 Xinheng Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Xinheng
Rong, Yongxian
Huang, Donglin
Liang, Zhijie
Yi, Xiaolin
Wu, Fangxiao
Zhu, Dandan
Mo, Steven
Nong, Wenhai
Li, Hongmian
Altered Genes and Biological Functions in Response to Severe Burns
title Altered Genes and Biological Functions in Response to Severe Burns
title_full Altered Genes and Biological Functions in Response to Severe Burns
title_fullStr Altered Genes and Biological Functions in Response to Severe Burns
title_full_unstemmed Altered Genes and Biological Functions in Response to Severe Burns
title_short Altered Genes and Biological Functions in Response to Severe Burns
title_sort altered genes and biological functions in response to severe burns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8168476/
https://www.ncbi.nlm.nih.gov/pubmed/34124262
http://dx.doi.org/10.1155/2021/8836243
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