Bioinformatics analysis of the mechanisms of traumatic brain injury-associated dementia based on the competing endogenous RNA

被引:0
|
作者
Cui, Changmeng [1 ]
Zhu, Li [2 ]
Han, Guangkui [1 ]
Sun, Jianping [1 ]
Zhang, Liang [1 ]
Guo, Yujin [2 ]
Jiang, Pei [3 ]
机构
[1] Jining Med Univ, Affiliated Hosp, Dept Neurosurg, Jining 272000, Shandong, Peoples R China
[2] Jining First Peoples Hosp, Inst Clin Pharm & Pharmacol, Jining 272000, Shandong, Peoples R China
[3] Jining First Peoples Hosp, Translat Pharmaceut Lab, Jining 272000, Shandong, Peoples R China
关键词
Traumatic brain injury; Dementia; Bioinformatics analysis; lncRNA-miRNA-mRNA network; NF2; ALZHEIMERS-DISEASE; OXIDATIVE STRESS; RISK; RAT;
D O I
10.1007/s00213-024-06691-w
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
RationaleTraumatic brain injury (TBI) is a critical condition associated with cognitive impairments, including dementia. This study is aimed to construct a long noncoding RNA (lncRNA)-microRNA (miRNA)-messenger RNA (mRNA) network based on bioinformatics analysis and explore molecular mechanisms underlying post-TBI dementia.MethodsGSE104687 and GSE205661 datasets were downloaded from Gene Expression Omnibus database. Molecular Signatures Database (MSigDB) was used to search oxidative stress-, metabolism- and immune-related genes as the target gene datasets. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were carried out for functional annotation and enrichment analysis. A TBI mouse model was built to validate the expression of NF2, PLXNA2, NCBP2 and U2SURP in brain tissues.ResultsA total of 7 differentially expressed lncRNAs (DElncRNAs) and 191 DEmRNAs were obtained. Subsequent to differential expression (DE) analysis, a lncRNA-miRNA-mRNA network was established. Notably, 13 key DEmRNAs were identified, potentially playing pivotal roles in the pathogenesis of TBI-induced dementia. By comparing the target gene datasets with 13 DEmRNAs, we identified 4 target genes that overlap with the 13 DEGmRNAs, namely NF2, PLXNA2, NCBP2 and U2SURP. Functional enrichment analysis highlighted the involvement of neuronal projections in the dementia-enriched cluster, while the protective cluster showed associations with protein synthesis and ubiquitination pathways. Importantly, we explored potential drug interventions based on interactions with the above 4 target genes. Additionally, drug interaction prediction showed that NF2 could interact with SELUMETINIB, EVEROLIMUS and TEMSIROLIMUS.ConclusionOur study provides insights into the complex regulatory networks underlying post-TBI dementia and suggests a potential role for three classes of drugs in managing dementia symptoms in TBI-induced dementia.
引用
收藏
页码:2441 / 2452
页数:12
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