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Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation
The exact mechanisms associated with secondary brain damage following traumatic brain injury (TBI) remain unclear; therefore, identifying the critical molecular mechanisms involved in TBI is essential. The mRNA expression microarray GSE2871 was downloaded from the Gene Expression Omnibus (GEO) repos...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749465/ https://www.ncbi.nlm.nih.gov/pubmed/32594047 http://dx.doi.org/10.4103/1673-5374.284996 |
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author | Tang, Yun-Liang Fang, Long-Jun Zhong, Ling-Yang Jiang, Jian Dong, Xiao-Yang Feng, Zhen |
author_facet | Tang, Yun-Liang Fang, Long-Jun Zhong, Ling-Yang Jiang, Jian Dong, Xiao-Yang Feng, Zhen |
author_sort | Tang, Yun-Liang |
collection | PubMed |
description | The exact mechanisms associated with secondary brain damage following traumatic brain injury (TBI) remain unclear; therefore, identifying the critical molecular mechanisms involved in TBI is essential. The mRNA expression microarray GSE2871 was downloaded from the Gene Expression Omnibus (GEO) repository. GSE2871 comprises a total of 31 cerebral cortex samples, including two post-TBI time points. The microarray features eight control and seven TBI samples, from 4 hours post-TBI, and eight control and eight TBI samples from 24 hours post-TBI. In this bioinformatics-based study, 109 and 66 differentially expressed genes (DEGs) were identified in a Sprague-Dawley (SD) rat TBI model, 4 and 24 hours post-TBI, respectively. Functional enrichment analysis showed that the identified DEGs were significantly enriched in several terms, such as positive regulation of nuclear factor-κB transcription factor activity, mitogen-activated protein kinase signaling pathway, negative regulation of apoptotic process, and tumor necrosis factor signaling pathway. Moreover, the hub genes with high connectivity degrees were primarily related to inflammatory mediators. To validate the top five hub genes, a rat model of TBI was established using the weight-drop method, and real-time quantitative polymerase chain reaction analysis of the cerebral cortex was performed. The results showed that compared with control rats, Tnf-α, c-Myc, Spp1, Cxcl10, Ptprc, Egf, Mmp9, and Lcn2 were upregulated, and Fn1 was downregulated in TBI rats. Among these hub genes, Fn1, c-Myc, and Ptprc may represent novel biomarkers or therapeutic targets for TBI. These identified pathways and key genes may provide insights into the molecular mechanisms of TBI and provide potential treatment targets for patients with TBI. This study was approved by the Experimental Animal Ethics Committee of the First Affiliated Hospital of Nanchang University, China (approval No. 003) in January 2016. |
format | Online Article Text |
id | pubmed-7749465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-77494652020-12-21 Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation Tang, Yun-Liang Fang, Long-Jun Zhong, Ling-Yang Jiang, Jian Dong, Xiao-Yang Feng, Zhen Neural Regen Res Research Article The exact mechanisms associated with secondary brain damage following traumatic brain injury (TBI) remain unclear; therefore, identifying the critical molecular mechanisms involved in TBI is essential. The mRNA expression microarray GSE2871 was downloaded from the Gene Expression Omnibus (GEO) repository. GSE2871 comprises a total of 31 cerebral cortex samples, including two post-TBI time points. The microarray features eight control and seven TBI samples, from 4 hours post-TBI, and eight control and eight TBI samples from 24 hours post-TBI. In this bioinformatics-based study, 109 and 66 differentially expressed genes (DEGs) were identified in a Sprague-Dawley (SD) rat TBI model, 4 and 24 hours post-TBI, respectively. Functional enrichment analysis showed that the identified DEGs were significantly enriched in several terms, such as positive regulation of nuclear factor-κB transcription factor activity, mitogen-activated protein kinase signaling pathway, negative regulation of apoptotic process, and tumor necrosis factor signaling pathway. Moreover, the hub genes with high connectivity degrees were primarily related to inflammatory mediators. To validate the top five hub genes, a rat model of TBI was established using the weight-drop method, and real-time quantitative polymerase chain reaction analysis of the cerebral cortex was performed. The results showed that compared with control rats, Tnf-α, c-Myc, Spp1, Cxcl10, Ptprc, Egf, Mmp9, and Lcn2 were upregulated, and Fn1 was downregulated in TBI rats. Among these hub genes, Fn1, c-Myc, and Ptprc may represent novel biomarkers or therapeutic targets for TBI. These identified pathways and key genes may provide insights into the molecular mechanisms of TBI and provide potential treatment targets for patients with TBI. This study was approved by the Experimental Animal Ethics Committee of the First Affiliated Hospital of Nanchang University, China (approval No. 003) in January 2016. Wolters Kluwer - Medknow 2020-06-19 /pmc/articles/PMC7749465/ /pubmed/32594047 http://dx.doi.org/10.4103/1673-5374.284996 Text en Copyright: © 2020 Neural Regeneration Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Research Article Tang, Yun-Liang Fang, Long-Jun Zhong, Ling-Yang Jiang, Jian Dong, Xiao-Yang Feng, Zhen Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation |
title | Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation |
title_full | Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation |
title_fullStr | Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation |
title_full_unstemmed | Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation |
title_short | Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation |
title_sort | hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749465/ https://www.ncbi.nlm.nih.gov/pubmed/32594047 http://dx.doi.org/10.4103/1673-5374.284996 |
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