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Identification of key hub genes in spinal cord ischemia-reperfusion injury via integrated bioinformatics analysis and in vivo validation
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Identification of key hub genes in spinal cord ischemia-reperfusion injury via integrated bioinformatics analysis and in vivo validation
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Journal Article
Identification of key hub genes in spinal cord ischemia-reperfusion injury via integrated bioinformatics analysis and in vivo validation
2026
Overview
Spinal cord ischemia-reperfusion injury (SCII) often causes neurological damage and devastating sensory and motor dysfunction. Identifying key genes and signaling pathways in SCII progression may provide novel therapeutic targets. Two gene expression datasets (GSE138966 and GSE167274) were obtained from the Gene Expression Omnibus database. Differentially expressed genes were identified using R software, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Hub genes were screened via Venn analysis, and a protein-protein interaction (PPI) network was constructed using Cytoscape software. Key hub genes were validated by qRT-PCR in a rat SCII model. A total of 99 hub genes were identified, including 60 up-regulated and 39 down-regulated genes. KEGG analysis revealed significant enrichment in MAPK, cAMP, and Rap1 signaling pathways. PPI network analysis highlighted
Ccl2
,
Mmp9
,
Itgb1
,
Timp1
,
Myd88
,
and Lgals3
as central nodes. qRT-PCR validation showed persistent up-regulation of
Tnc
,
Thbs2
, and
S100a10
at 1 h, 24 h, and 48 h post-SCII; early up-regulation of
Msn
,
Lcp1
,
Lcn2
, and
Akap12
at 1 h; and delayed up-regulation of
Itga5
at 48 h (
P
< 0.05). This study identifies novel, key SCII-related genes that have been largely overlooked and, for the first time, defines their time-dependent expression patterns via in vivo experimental validation. Our findings provide crucial mechanistic insights and nominate promising therapeutic targets for SCII.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 692/617
/ Animals
/ Computational Biology - methods
/ Datasets
/ Genes
/ Humanities and Social Sciences
/ Ischemia
/ Monocyte chemoattractant protein 1
/ Rats
/ Reperfusion Injury - genetics
/ Reperfusion Injury - metabolism
/ Reperfusion Injury - pathology
/ Science
/ Spinal Cord Ischemia - genetics
