4.5 Article

MicroRNA expression signature in human abdominal aortic aneurysms

Journal

BMC MEDICAL GENOMICS
Volume 5, Issue -, Pages -

Publisher

BMC
DOI: 10.1186/1755-8794-5-25

Keywords

Apoptosis; Microarray analysis; Vascular biology; miRNA-mRNA analysis; Network analysis

Funding

  1. NIH [5 U42 RR006042-20]
  2. National Heart, Lung, and Blood Institute [HL064310]
  3. American Heart Association Great Rivers Affiliate
  4. Geisinger Clinic
  5. Deutsche Forschungsgemeinschaft [Hi 1479/2-1]
  6. Technical University of Dresden (Frauenhabilitationsstipendium der Medizinischen Fakultat Dresden), Germany
  7. Aortenpreis der Deutschen Gesellschaft fur Gefasschirurgie und Gefassmedizin

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Background: Abdominal aortic aneurysm (AAA) is a dilatation of the aorta affecting most frequently elderly men. Histologically AAAs are characterized by inflammation, vascular smooth muscle cell apoptosis, and extracellular matrix degradation. The mechanisms of AAA formation, progression, and rupture are currently poorly understood. A previous mRNA expression study revealed a large number of differentially expressed genes between AAA and non-aneurysmal control aortas. MicroRNAs (miRNAs), small non-coding RNAs that are post-transcriptional regulators of gene expression, could provide a mechanism for the differential expression of genes in AAA. Methods: To determine differences in miRNA levels between AAA (n = 5) and control (n = 5) infrarenal aortic tissues, a microarray study was carried out. Results were adjusted using Benjamini-Hochberg correction (adjusted p < 0.05). Real-time quantitative RT-PCR (qRT-PCR) assays with an independent set of 36 AAA and seven control tissues were used for validation. Potential gene targets were retrieved from miRNA target prediction databases Pictar, TargetScan, and MiRTarget2. Networks from the target gene set were generated and examined using the network analysis programs, CytoScape (R) and Ingenuity Pathway Core Analysis (R) . Results: A microarray study identified eight miRNAs with significantly different expression levels between AAA and controls (adjusted p < 0.05). Real-time qRT-PCR assays validated the findings for five of the eight miRNAs. A total of 222 predicted miRNA target genes known to be differentially expressed in AAA based on a prior mRNA microarray study were identified. Bioinformatic analyses revealed that several target genes are involved in apoptosis and activation of T cells. Conclusions: Our genome-wide approach revealed several differentially expressed miRNAs in human AAA tissue suggesting that miRNAs play a role in AAA pathogenesis.

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