Gene Expression Profiling and Bioinformatic Analysis of Rabbit Basilar Artery after Experimental Subarachnoid Hemorrhage

Objective: The molecular mechanisms which contribute to the development of vascular events including cerebral vasospasm after subarachnoid hemorrhage (SAH) in cerebral artery remain to be elucidated. In this study, we investigated the time course of changes in the gene expression of cerebral artery using rabbit SAH model and performed bioinformatic analysis of differentially expressed genes. Methods: Rabbit basilar arteries were harvested on days 3, 5, and 7 after initial hemorrhage. Changes in gene expression of the rabbit basilar artery were investigated by using Agilent rabbit oligo microarrays and analyzed the data by Ingenuity Pathway Analysis (IPA). Results: Among investigated 43,623 genes, 1,121 genes were differentially expressed at least 1 time point. We found that the number, magnitude of fold change, and gene expression pattern were most dynamically changed on day 3, whereas narrowing of the basilar artery became most severe on day 5. In microarray datasets analyzed by IPA revealed that 25 biological functions identified from differentially expressed genes were significantly upregulated. Conclusion: Our findings that were based on gene expression analysis followed by bioinformatic analysis may provide a simple basis to interlink the various presumed pathogenesis of vascular events including cerebral vasospasm after SAH.