Integrative analysis of multi-omics data to identify three immune-related genes in the formation and progression of intracranial aneurysms

被引:4
作者
Li, Shifu [1 ,2 ]
Zhang, Qian [1 ,2 ]
Huang, Zheng [1 ,2 ]
Chen, Fenghua [1 ,2 ]
机构
[1] Cent South Univ, Xiangya Hosp, Dept Neurosurg, 87 Xiangya St, Changsha 410008, Hunan, Peoples R China
[2] Cent South Univ, Natl Clin Res Ctr Geriatr Disorders, 87 Xiangya St, Changsha 410008, Hunan, Peoples R China
关键词
Intracranial aneurysm; Immunity; WGCNA; Methylation; Bioinformatics; EXPRESSION PROFILES; PROGNOSTIC MARKER; INFLAMMATION; DYNAMICS; SEX; AGE;
D O I
10.1007/s00011-023-01725-z
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Objective and designThe prevalence of intracranial aneurysms (IAs) has increased globally. We performed bioinformatics analysis to identify key biomarkers associated with IA formation.Methods and resultsWe conducted a comprehensive analysis combined with multi-omics data and methods to identify immune-related genes (IRGs) and immunocytes involved in IAs. Functional enrichment analyses showed enhanced immune responses and suppressed organizations of extracellular matrix (ECM) during aneurysm progression. xCell analyses showed that the abundance of B cells, macrophages, mast cells, and monocytes significantly increased from levels in control to unruptured aneurysms and to ruptured aneurysms. Of 21 IRGs identified by overlapping, a three-gene (CXCR4, S100B, and OSM) model was constructed through LASSO logistic regression. The diagnostic ability of the three biomarkers in discriminating aneurysms from the control samples demonstrated a favorable diagnostic value. Among the three genes, OSM and CXCR4 were up-regulated and hypomethylated in IAs, while S100B was down-regulated and hypermethylated. The expression of the three IRGs was further validated by qRT-PCR and immunohistochemistry and mouse IA model using scRNA-seq analysis.ConclusionThe present study demonstrated heightened immune response and suppressed ECM organization in aneurysm formation and rupture. The three-gene immune-related signature (CCR4, S100B, and OSM) model may facilitate IA diagnosis and prevention.
引用
收藏
页码:1001 / 1019
页数:19
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