Project description:In the present study we aimed to investigate the systemic response to a rupture of intracranial aneurysms by an analysis of global gene expression profiles in peripheral blood cells. In addition, we sought to determine whether this approach could provide biomarkers related to clinical status of subarachnoid hemorrhage patients.
Project description:In this study, we explored transcriptional differences in human neutrophils from patients with intracranial aneurysms and a demographic and comorbidity paired population of controls
Project description:In the present study we aimed to investigate the systemic response to a rupture of intracranial aneurysms by an analysis of global gene expression profiles in peripheral blood cells. In addition, we sought to determine whether this approach could provide biomarkers related to clinical status of subarachnoid hemorrhage patients. Patients with subarachnoid hemorrhage from ruptured aneurysm were prospectively recruited from patients consecutively admitted to the Departments of Neurology or Neurosurgery and Neurotraumatology, University Hospital, Krakow, Poland in 2010 and 2011. Control subjects were recruited from patients of the Department of Neurology suffered from headaches.
Project description:Gene expression information is useful in prioritizing candidate genes in linkage intervals. The data can also identify pathways involved in the pathophysiology of disease. We used microarrays to identify which genes are expressed in either intracranial arteries (control) or in intracranial aneurysms (case), and can therefore contribute to the disease phenotypes. We used microarrays to identify the pathway membership of expressed genes and the overrepresentation of pathways with expressed genes in the known linkage intervals for intracranial aneurysms. Keywords: Characterization of expression in both diseased and non-diseased intracranial arteries.
Project description:The biological mechanisms by which cerebral aneurysms emerge, enlarge and rupture are not totally understood. In the present study, we analyzed the genome-wide gene expression profile in human intracranial aneurysms using cDNA microarrays. Intracranial arterial aneurysm samples (n = 3) and normal superficial temporal artery samples (control, n = 3) were obtained from individual subjects. All aneurysm samples were unruptured aneurysms confirmed by Magnetic Resonance Image or Digital Subtraction Angiography. Affymetrix HU133 Plus 2.0 microarrays were used to compare gene expression levels between aneurismal and normal blood vessels.
Project description:The primary aim of the present study was to identify differences on the transcription level between ruptured and unruptured intracranial aneurysms as well as normal intracranial arteries in human. Keywords: Expression profiling by array Global gene expression profiling was performed in human intracranial aneurysms both ruptured (n=8) and unruptured (n=6) as well as in control intracranial arteries (middle meningeal artery, MMA; n=5) using oligonucleotide microarrays.
Project description:As the EU IP @neurIST Project aims at integrating biomedical informatics technologies in the assessment of rupture risks and treatments of cerebral aneurysms in humans. Genetic involvement in the disease is known, mRNA biomarkers will be searched as possible risk factors in easy to assess PBMCs (peripheral blood cells). The aim of this pilot study is specifically to check the clinical samples going from the patientï¾s bed side to the genomic analysis platform. Briefly, we hybridized biotin labelled cRNA from 2 controls (C1, C2), 1 patient bearing an intracranial aneurysm (I) and 1 patients bearing an intracranial aneurysm and subarachnoid haemorrhage (S). For each sample, one technical replicate was performed. Thus a total of 8 arrays was used.
Project description:The primary aim of the present study was to identify differences on the transcription level between ruptured and unruptured intracranial aneurysms as well as normal intracranial arteries in human. Keywords: Expression profiling by array