■颅内动脉瘤(IA)代表血管壁中的突起,它们的生长和墙体变薄受各种因素的影响。这些过程最终会导致动脉瘤破裂,导致蛛网膜下腔出血(SAH)。不幸的是,超过一半的患者证明无法承受SAH,尽管进行了强化治疗干预,但仍屈服于不良结局,即使在一流的医疗设施。这项研究旨在辨别关键microRNAs(miRNAs)和与IA的形成和进展相关的基因。
■本研究收集了人动脉瘤组织和颞浅动脉(STA)样本中miRNA(来自GSE66240)和mRNA(来自GSE158558)的表达数据,将它们分为IA组和正常组。该分类基于基因表达综合(GEO)数据库。
■总共70个差异表达的microRNAs(DEMs)和815个差异表达的mRNAs(DEGs)与IA有关。随后,构建了miRNA-mRNA网络,纳入9个显著上调的DEM和211个显著下调的DEG。同时,对DEM和DEG进行了功能富集和途径分析。通过蛋白质-蛋白质相互作用(PPI)网络分析和功能富集,9个显著上调的DEM(hsa-miR-188-5p,hsa-miR-590-5p,hsa-miR-320b,hsa-miR-423-5p,hsa-miR-140-5p,hsa-miR-486-5p,hsa-miR-320a,hsa-miR-342-3p,和hsa-miR-532-5p)和50个关键基因(如ATP6V1G1,KBTBD6,VIM,PA2G4,DYNLL1,METTL21A,MDH2等.)被确认,表明它们在IA中潜在的重要作用。在这些基因中,10个显著受至少两个关键miRNA的负调控。
■这项研究的发现通过阐明miRNA-mRNA网络,为IA潜在的致病机制提供了有价值的见解。这种全面的方法揭示了miRNAs和基因之间复杂的相互作用,对IA发展和进展中涉及的分子动力学有更深入的了解。
UNASSIGNED: Intracranial aneurysms (IAs) represent protrusions in the vascular wall, with their growth and wall thinning influenced by various factors. These processes can culminate in the rupture of the aneurysm, leading to subarachnoid hemorrhage (SAH). Unfortunately, over half of the patients prove unable to withstand SAH, succumbing to adverse outcomes despite intensive therapeutic interventions, even in premier medical facilities. This study seeks to discern the pivotal microRNAs (miRNAs) and genes associated with the formation and progression of IAs.
UNASSIGNED: The investigation gathered expression data of miRNAs (from GSE66240) and mRNAs (from GSE158558) within human aneurysm tissue and superficial temporal artery (STA) samples, categorizing them into IA and normal groups. This classification was based on the Gene Expression Omnibus (GEO) database.
UNASSIGNED: A total of 70 differentially expressed microRNAs (DEMs) and 815 differentially expressed mRNAs (DEGs) were pinpointed concerning IA. Subsequently, a miRNA-mRNA network was constructed, incorporating 9 significantly upregulated DEMs and 211 significantly downregulated DEGs. Simultaneously, functional enrichment and pathway analyses were conducted on both DEMs and DEGs. Through protein-protein interaction (PPI) network analysis and functional enrichment, 9 significantly upregulated DEMs (hsa-miR-188-5p, hsa-miR-590-5p, hsa-miR-320b, hsa-miR-423-5p, hsa-miR-140-5p, hsa-miR-486-5p, hsa-miR-320a, hsa-miR-342-3p, and hsa-miR-532-5p) and 50 key genes (such as ATP6V1G1, KBTBD6, VIM, PA2G4, DYNLL1, METTL21A, MDH2, etc.) were identified, suggesting their potential significant role in IA. Among these genes, ten were notably negatively regulated by at least two key miRNAs.
UNASSIGNED: The findings of this study provide valuable insights into the potential pathogenic mechanisms underlying IA by elucidating a miRNA-mRNA network. This comprehensive approach sheds light on the intricate interplay between miRNAs and genes, offering a deeper understanding of the molecular dynamics involved in IA development and progression.