Whole Blood Gene Expression Profiles of Patients with a Past Aneurysmal Subarachnoid Hemorrhage

• Published in: PloS one 2015-10, Vol.10 (10), p.e0139352-e0139352
• Main Authors: van 't Hof, Femke N G, Ruigrok, Ynte M, Medic, Jelena, Sanjabi, Bahram, van der Vlies, Pieter, Rinkel, Gabriel J E, Veldink, Jan H
• Format: Article
• Language: English
• Subjects: Adult; Aged; Aged, 80 and over; Analysis; Aneurysm; Aneurysm, Ruptured - blood; Aneurysm, Ruptured - genetics; Aneurysms; Bioinformatics; Biomarkers; Blood; Development and progression; DNA microarrays; Female; Gene expression; Gene Expression Profiling; Genes; Genetic aspects; Genomes; Hemorrhage; Humans; Hypertension; Male; Medical imaging; Middle Aged; Neurology; Neurosurgery; Pathogenesis; Patients; Peripheral blood; Physiological aspects; Prognosis; Quality control; Risk; Stroke; Subarachnoid hemorrhage; Subarachnoid Hemorrhage - blood; Subarachnoid Hemorrhage - genetics; Transcriptome; Young Adult
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0139352

The pathogenesis of development and rupture of intracranial aneurysms (IA) is largely unknown. Also, screening for IA to prevent aneurysmal subarachnoid hemorrhage (aSAH) is inefficient, as disease markers are lacking. We investigated gene expression profiles in blood of previous aSAH patients, who are still at risk for future IA, aiming to gain insight into the pathogenesis of IA and aSAH, and to make a first step towards improvement of aSAH risk prediction. We collected peripheral blood of 119 patients with aSAH at least two years prior, and 118 controls. We determined gene expression profiles using Illumina HumanHT-12v4 BeadChips. After quality control, we divided the dataset in a discovery (2/3) and replication set (1/3), identified differentially expressed genes, and applied (co-)differential co-expression to identify disease-related gene networks. No genes with a significant (false-discovery rate