Expression profile analysis of differentially expressed genes in ruptured intracranial aneurysms: In search of biomarkers

被引:5
|
作者
Wang, Qunhui [1 ]
Chen, Xuan [1 ]
Yi, Dazhuang [1 ]
Song, Yu [1 ]
Zhao, Yu-Hao [1 ]
Luo, Qi [1 ]
机构
[1] Jilin Univ, Dept Neurosurg, Hosp 1, Changchun, Jilin, Peoples R China
关键词
Intracranial aneurysms; Rupture; DEGs; Biomarkers; Bioinformatics; PROTEIN-INTERACTION NETWORKS; MIGRATION INHIBITORY FACTOR; ABDOMINAL AORTIC-ANEURYSM; RISK; TRANSCRIPTION; LYMPHOCYTES; EMPHASIS; CANCER; HEAD; CD74;
D O I
10.1016/j.bbrc.2018.10.117
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Intracranial aneurysms (IAs) result from the bulging of arterial walls secondary to several factors such as flow, vessel morphology, and genetics. Subarachnoid hemorrhage occurs when such walls rupture, leading to high disability and mortality. Despite numerous investigations pertaining to the relationship between geometric characteristics and IA rupture, only a few have obtained consistent results. This study aimed to further identify the potential genes associated with the pathogenesis of IAs, which may provide novel molecular biomarkers. We downloaded and reanalyzed six datasets, which were divided into four groups. IA walls and blood samples were screened for differentially expressed genes (DEGs); then, functional and pathway enrichment analyses were conducted. In total, 158 common DEGs were identified from Groups 1-3 and 396 genes (187 upregulated and 209 downregulated genes) were differentially expressed in Group 4. The functional analysis revealed that the DEGs were mainly associated with the major histocompatibility complex class II protein complex and antigen processing and presentation. Finally, we identified nine key genes, both in aneurysm tissue samples and blood samples, of which three were mostly associated with the progression and rupture of IAs. Bioinformatics was used to analyze the datasets of the ruptured IAs and identify potential biomarkers, which may provide information for the early detection and treatment of IAs. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:548 / 556
页数:9
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