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...

Full description

Bibliographic Details
Main Authors: Yun-Liang Tang, Long-Jun Fang, Ling-Yang Zhong, Jian Jiang, Xiao-Yang Dong, Zhen Feng
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Neural Regeneration Research
Subjects:
Online Access:http://www.nrronline.org/article.asp?issn=1673-5374;year=2020;volume=15;issue=12;spage=2262;epage=2269;aulast=Tang
id doaj-316df38d74d842669f9932b6623d2614
record_format Article
spelling doaj-316df38d74d842669f9932b6623d26142020-11-25T03:29:23ZengWolters Kluwer Medknow PublicationsNeural Regeneration Research1673-53742020-01-0115122262226910.4103/1673-5374.284996Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validationYun-Liang TangLong-Jun FangLing-Yang ZhongJian JiangXiao-Yang DongZhen FengThe 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.http://www.nrronline.org/article.asp?issn=1673-5374;year=2020;volume=15;issue=12;spage=2262;epage=2269;aulast=Tangbioinformatics; degs; differentially expressed genes; gene ontology; hub genes; inflammation; kyoto encyclopedia of genes and genomes; molecular mechanism; traumatic brain injury
collection DOAJ
language English
format Article
sources DOAJ
author Yun-Liang Tang
Long-Jun Fang
Ling-Yang Zhong
Jian Jiang
Xiao-Yang Dong
Zhen Feng
spellingShingle Yun-Liang Tang
Long-Jun Fang
Ling-Yang Zhong
Jian Jiang
Xiao-Yang Dong
Zhen Feng
Hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation
Neural Regeneration Research
bioinformatics; degs; differentially expressed genes; gene ontology; hub genes; inflammation; kyoto encyclopedia of genes and genomes; molecular mechanism; traumatic brain injury
author_facet Yun-Liang Tang
Long-Jun Fang
Ling-Yang Zhong
Jian Jiang
Xiao-Yang Dong
Zhen Feng
author_sort Yun-Liang Tang
title 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_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_sort hub genes and key pathways of traumatic brain injury: bioinformatics analysis and in vivo validation
publisher Wolters Kluwer Medknow Publications
series Neural Regeneration Research
issn 1673-5374
publishDate 2020-01-01
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.
topic bioinformatics; degs; differentially expressed genes; gene ontology; hub genes; inflammation; kyoto encyclopedia of genes and genomes; molecular mechanism; traumatic brain injury
url http://www.nrronline.org/article.asp?issn=1673-5374;year=2020;volume=15;issue=12;spage=2262;epage=2269;aulast=Tang
work_keys_str_mv AT yunliangtang hubgenesandkeypathwaysoftraumaticbraininjurybioinformaticsanalysisandinvivovalidation
AT longjunfang hubgenesandkeypathwaysoftraumaticbraininjurybioinformaticsanalysisandinvivovalidation
AT lingyangzhong hubgenesandkeypathwaysoftraumaticbraininjurybioinformaticsanalysisandinvivovalidation
AT jianjiang hubgenesandkeypathwaysoftraumaticbraininjurybioinformaticsanalysisandinvivovalidation
AT xiaoyangdong hubgenesandkeypathwaysoftraumaticbraininjurybioinformaticsanalysisandinvivovalidation
AT zhenfeng hubgenesandkeypathwaysoftraumaticbraininjurybioinformaticsanalysisandinvivovalidation
_version_ 1724579634583961600