Global miRNA expression profile reveals novel molecular players in aneurysmal subarachnoid haemorrhage

Sci Rep. 2018 Jun 8;8(1):8786. doi: 10.1038/s41598-018-27078-w.

Abstract

The molecular mechanisms behind aneurysmal subarachnoid haemorrhage (aSAH) are still poorly understood. Expression patterns of miRNAs may help elucidate the post-transcriptional gene expression in aSAH. Here, we evaluate the global miRNAs expression profile (miRnome) of patients with aSAH to identify potential biomarkers. We collected 33 peripheral blood samples (27 patients with cerebral aneurysm, collected 7 to 10 days after the haemorrhage, when usually is the cerebral vasospasm risk peak, and six controls). Then, were performed small RNA sequencing using an Illumina Next Generation Sequencing (NGS) platform. Differential expression analysis identified eight differentially expressed miRNAs. Among them, three were identified being up-regulated, and five down-regulated. miR-486-5p was the most abundant expressed and is associated with poor neurological admission status. In silico miRNA gene target prediction showed 148 genes associated with at least two differentially expressed miRNAs. Among these, THBS1 and VEGFA, known to be related to thrombospondin and vascular endothelial growth factor. Moreover, MYC gene was found to be regulated by four miRNAs, suggesting an important role in aneurysmal subarachnoid haemorrhage. Additionally, 15 novel miRNAs were predicted being expressed only in aSAH, suggesting possible involvement in aneurysm pathogenesis. These findings may help the identification of novel biomarkers of clinical interest.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation
  • Gene Regulatory Networks*
  • Humans
  • Intracranial Aneurysm / genetics*
  • Intracranial Aneurysm / pathology
  • Male
  • MicroRNAs / genetics*
  • Middle Aged
  • Subarachnoid Hemorrhage / genetics*
  • Subarachnoid Hemorrhage / pathology

Substances

  • MicroRNAs