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Gene Expression Signature of Traumatic Brain Injury

Background: Traumatic brain injury (TBI) is a brain function change caused by external forces, which is one of the main causes of death and disability worldwide. The aim of this study was to identify early diagnostic markers and potential therapeutic targets for TBI. Methods: Differences between TBI...

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Autores principales: Ma, Yawen, Liu, Yunhui, Ruan, Xuelei, Liu, Xiaobai, Zheng, Jian, Teng, Hao, Shao, Lianqi, Yang, Chunqing, Wang, Di, Xue, Yixue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042258/
https://www.ncbi.nlm.nih.gov/pubmed/33859672
http://dx.doi.org/10.3389/fgene.2021.646436
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author Ma, Yawen
Liu, Yunhui
Ruan, Xuelei
Liu, Xiaobai
Zheng, Jian
Teng, Hao
Shao, Lianqi
Yang, Chunqing
Wang, Di
Xue, Yixue
author_facet Ma, Yawen
Liu, Yunhui
Ruan, Xuelei
Liu, Xiaobai
Zheng, Jian
Teng, Hao
Shao, Lianqi
Yang, Chunqing
Wang, Di
Xue, Yixue
author_sort Ma, Yawen
collection PubMed
description Background: Traumatic brain injury (TBI) is a brain function change caused by external forces, which is one of the main causes of death and disability worldwide. The aim of this study was to identify early diagnostic markers and potential therapeutic targets for TBI. Methods: Differences between TBI and controls in GSE89866 and GSE104687 were analyzed. The two groups of differentially expressed genes (DEGs) were combined for coexpression analysis, and the modules of interest were performed using enrichment analysis. Hub genes were identified by calculating area under curve (AUC) values of module genes, PPI network analysis, and functional similarity. Finally, the difference in immune cell infiltration between TBI and control was calculated by ssGSEA. Results: A total of 4,817 DEGs were identified in GSE89866 and 1,329 DEGs in GSE104687. They were clustered into nine modules. The genes of modules 1, 4, and 7 had the most crosstalk and were identified as important modules. Enrichment analysis revealed that they were mainly associated with neurodevelopment and immune inflammation. In the PPI network constructed by genes with top 50 AUC values in module genes, we identified the top 10 genes with the greatest connectivity. Among them, down-regulated RPL27, RPS4X, RPL23A, RPS15A, and RPL7A had similar functions and were identified as hub genes. In addition, DC and Tem were significantly up-regulated and down-regulated between TBI and control, respectively. Conclusion: We found that hub genes may have a diagnostic role for TBI. Molecular dysregulation mechanisms of TBI are associated with neurological and immune inflammation. These results may provide new ideas for the diagnosis and treatment of TBI.
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spelling pubmed-80422582021-04-14 Gene Expression Signature of Traumatic Brain Injury Ma, Yawen Liu, Yunhui Ruan, Xuelei Liu, Xiaobai Zheng, Jian Teng, Hao Shao, Lianqi Yang, Chunqing Wang, Di Xue, Yixue Front Genet Genetics Background: Traumatic brain injury (TBI) is a brain function change caused by external forces, which is one of the main causes of death and disability worldwide. The aim of this study was to identify early diagnostic markers and potential therapeutic targets for TBI. Methods: Differences between TBI and controls in GSE89866 and GSE104687 were analyzed. The two groups of differentially expressed genes (DEGs) were combined for coexpression analysis, and the modules of interest were performed using enrichment analysis. Hub genes were identified by calculating area under curve (AUC) values of module genes, PPI network analysis, and functional similarity. Finally, the difference in immune cell infiltration between TBI and control was calculated by ssGSEA. Results: A total of 4,817 DEGs were identified in GSE89866 and 1,329 DEGs in GSE104687. They were clustered into nine modules. The genes of modules 1, 4, and 7 had the most crosstalk and were identified as important modules. Enrichment analysis revealed that they were mainly associated with neurodevelopment and immune inflammation. In the PPI network constructed by genes with top 50 AUC values in module genes, we identified the top 10 genes with the greatest connectivity. Among them, down-regulated RPL27, RPS4X, RPL23A, RPS15A, and RPL7A had similar functions and were identified as hub genes. In addition, DC and Tem were significantly up-regulated and down-regulated between TBI and control, respectively. Conclusion: We found that hub genes may have a diagnostic role for TBI. Molecular dysregulation mechanisms of TBI are associated with neurological and immune inflammation. These results may provide new ideas for the diagnosis and treatment of TBI. Frontiers Media S.A. 2021-03-30 /pmc/articles/PMC8042258/ /pubmed/33859672 http://dx.doi.org/10.3389/fgene.2021.646436 Text en Copyright © 2021 Ma, Liu, Ruan, Liu, Zheng, Teng, Shao, Yang, Wang and Xue. 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 Genetics
Ma, Yawen
Liu, Yunhui
Ruan, Xuelei
Liu, Xiaobai
Zheng, Jian
Teng, Hao
Shao, Lianqi
Yang, Chunqing
Wang, Di
Xue, Yixue
Gene Expression Signature of Traumatic Brain Injury
title Gene Expression Signature of Traumatic Brain Injury
title_full Gene Expression Signature of Traumatic Brain Injury
title_fullStr Gene Expression Signature of Traumatic Brain Injury
title_full_unstemmed Gene Expression Signature of Traumatic Brain Injury
title_short Gene Expression Signature of Traumatic Brain Injury
title_sort gene expression signature of traumatic brain injury
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042258/
https://www.ncbi.nlm.nih.gov/pubmed/33859672
http://dx.doi.org/10.3389/fgene.2021.646436
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