BACKGROUND: Aneurysmal subarachnoid hemorrhage, almost always from saccular intracranial aneurysm (sIA), is a devastating form of stroke that affects the working-age population. Cellular and molecular mechanisms predisposing to the rupture of the sIA wall are largely unknown. This knowledge would facilitate the design of novel diagnostic tools and therapies for the sIA disease. OBJECTIVE: To investigate gene expression patterns distinguishing ruptured and unruptured sIA. METHODS: We compared the whole-genome expression profile of 11 ruptured sIA wall samples with that of 8 unruptured ones using oligonucleotide microarrays. Signaling pathways enriched in the ruptured sIA walls were identified with bioinformatic analyses. Their transcriptional control was predicted in silico by seeking the enrichment of conserved transcription factor binding sites in the promoter regions of differentially expressed genes. RESULTS: Overall, 686 genes were significantly upregulated and 740 were downregulated in the ruptured sIA walls. Significantly upregulated biological processes included response to turbulent blood flow, chemotaxis, leukocyte migration, oxidative stress, vascular remodeling; and extracellular matrix degradation. Toll-like receptor signaling and nuclear factor-κB, hypoxia-inducible factor-1A, and ETS transcription factor binding sites were significantly enriched among the upregulated genes. CONCLUSION: We identified pathways and candidate genes associated with the rupture of human sIA wall. Our results may provide clues to the molecular mechanism in sIA wall rupture and insight for novel therapeutic strategies to prevent rupture.
BACKGROUND:Aneurysmal subarachnoid hemorrhage, almost always from saccular intracranial aneurysm (sIA), is a devastating form of stroke that affects the working-age population. Cellular and molecular mechanisms predisposing to the rupture of the sIA wall are largely unknown. This knowledge would facilitate the design of novel diagnostic tools and therapies for the sIA disease. OBJECTIVE: To investigate gene expression patterns distinguishing ruptured and unruptured sIA. METHODS: We compared the whole-genome expression profile of 11 ruptured sIA wall samples with that of 8 unruptured ones using oligonucleotide microarrays. Signaling pathways enriched in the ruptured sIA walls were identified with bioinformatic analyses. Their transcriptional control was predicted in silico by seeking the enrichment of conserved transcription factor binding sites in the promoter regions of differentially expressed genes. RESULTS: Overall, 686 genes were significantly upregulated and 740 were downregulated in the ruptured sIA walls. Significantly upregulated biological processes included response to turbulent blood flow, chemotaxis, leukocyte migration, oxidative stress, vascular remodeling; and extracellular matrix degradation. Toll-like receptor signaling and nuclear factor-κB, hypoxia-inducible factor-1A, and ETS transcription factor binding sites were significantly enriched among the upregulated genes. CONCLUSION: We identified pathways and candidate genes associated with the rupture of humansIA wall. Our results may provide clues to the molecular mechanism in sIA wall rupture and insight for novel therapeutic strategies to prevent rupture.
Authors: V Šćepanović; G Tasić; N Repac; I Nikolić; A Janićijević; D Todorović; M Stojanović; R Šćepanović; D Mitrović; T Šćepanović; S Borozan; Lj Šćepanović Journal: Mol Biol Rep Date: 2018-09-20 Impact factor: 2.316
Authors: Nohra Chalouhi; Muhammad S Ali; Pascal M Jabbour; Stavropoula I Tjoumakaris; L Fernando Gonzalez; Robert H Rosenwasser; Walter J Koch; Aaron S Dumont Journal: J Cereb Blood Flow Metab Date: 2012-07-11 Impact factor: 6.200
Authors: Robert M Starke; Nohra Chalouhi; Muhammad S Ali; Pascal M Jabbour; Stavropoula I Tjoumakaris; L Fernando Gonzalez; Robert H Rosenwasser; Walter J Koch; Aaron S Dumont Journal: Curr Neurovasc Res Date: 2013-08 Impact factor: 1.990
Authors: Anil Can; Victor M Castro; Yildirim H Ozdemir; Sarajune Dagen; Dmitriy Dligach; Sean Finan; Sheng Yu; Vivian Gainer; Nancy A Shadick; Guergana Savova; Shawn Murphy; Tianxi Cai; Scott T Weiss; Rose Du Journal: Transl Stroke Res Date: 2017-11-04 Impact factor: 6.829