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Patients SAHGEN: cerebral vasospasm after subarachnoid hemorrhage

ABSTRACT: The diagnosis of cerebral vasospasm after Subarachnoid-Hemorrhage is currently very difficult, additional tools such as blood biomarkers are necessary. We tested the ability of gene expression profiles of blood cells to predict vasospasm.

ORGANISM(S): Homo sapiens

PROVIDER: GSE37924 | GEO | 2014/05/08

SECONDARY ACCESSION(S): PRJNA167080

REPOSITORIES: GEO

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Project description:The diagnosis of cerebral vasospasm after Subarachnoid-Hemorrhage is currently very difficult, additional tools such as blood biomarkers are necessary. We tested the ability of gene expression profiles of blood cells to predict vasospasm. 32 patients suffering subarachnoid-hemorrhage were included in this prospective monocentre study. They were grouped according to have a complicated cerebral vasospasm (Vasospasm) or not (Control) and Paired according to age (+/- 10 years), sex, Fisher grade (+/- 1), location, smoking (at least 3 first parameters). Gene expression profiles of blood cells were determined using 25,000~gene microarray. Blood sample: 2.5 mL harvested in PAXgene® Blood RNA tubes (PreAnalytix) RNA extraction: PAXgene® Blood RNA kit (Qiagen). We used a Universel Reference RNA (Stratagene). RNA amplification and labelling: kit Amino Allyl MessageAmp II (Ambion). We hybridized 4 microarrays per patient using pangenomic microarrays from the "Réseau National des Génopôles" (Illkirch, France). 2 slides were hybridized with reference RNA labelled Cy3 and patient RNA labelled Cy5, and 2 slides were hybridized with reference RNA labelled Cy5 and patient RNA labelled Cy3. Hybridation : Agilent protocol with few modifications : 750 ng of each labelled RNA were hubriddized at 60°C during 17 hours in an Aglient hybridization oven. After washings, Slides were scanned with a GenePix 4000B scanner (Molecular Devices). Image intensity data were extracted with GenePix Pro 6.0 analysis software. Quantification of Cy3 and Cy5 and selection of good spots were performed using the MAIA software (Novikov E and Barillot E. Software package for automatic microarray image analysis (MAIA). The ACUITY software was then used to normalize log ratios Cy3/Cy5 with Lowess non linear normalization, to filter out genes not present in at least 3 slides out of 4, to evaluate the reproducibility of the 4 microarrays of each patient (hierarchical clustering, Self Organizing Maps). Statistical analyses to insure reproducibility was performed using Excel (correlation coefficients, ANOVA). Only slides that passed all reprocubility tests were validated.

Project description:Purpose: Subarachnoid hemorrhage (SAH) is fatal in approximately 40% of cases. However, among survivors up to 95% experience permanent disabilities: post-SAH syndrome, which include impaired memory, executive functions, emotional and cognitive disturbances. Up to 45% of SAH patients are unable to continue with their professional activities. The long-term cognitive deficits result from morphological brain damage, including atrophy of the temporomesial/hippocampal area, which correlates with decreased neurocognitive scores. The mechanisms of the remote brain damage following SAH remain unknown, which hinders the progress in identifying new therapeutic targets. To unveil the leading mechanisms of permanent cognitive abnormalities following SAH and origin of atrophy of the temporomesial/hippocampal area, we analyzed SAH-induced specific hippocampal genomic pathways, which may lead to long term morphological damage. methods: Hippocampal RNA of SAH and Control groups, obtained 4 days after SAH induced by perforation of the circle of Willis in mice, was processed and sequenced. Using the next-generation RNA sequencing we determined differentially expressed genes in the bilateral whole hippocampus remote from SAH and applied different functional analyses and clustering tools to determine the main molecular pathways. Results: Differential gene expression analysis detected 642 upregulated and 398 down-regulated genes (false discovery rate <0.10) in SAH compared to Control group. Functional analyses using IPA suite, Gene Ontology terms, REACTOME pathways, and MsigDB Hallmark gene set collections revealed suppression of oligodendrocytes/myelin related genes, and overexpression of genes related to complement system along with genes related to innate and adaptive immunity, and extracellular matrix reorganization. Interferon regulatory factors, TGF-β1 and BMP, were identified as major orchestrating elements in the hippocampal tissue response. The MEME-Suite identified binding motifs of Krüppel-like factors, zinc finger transcription factors, and interferon regulatory factors as overrepresented DNA promoter motifs. Conclusion: Our findings suggest that damage of the entorhinal cortex by the subarachnoid blood remotely triggers specific hippocampal response, which may include suppression of oligodendrocytes functioning due to anterograde degeneration of hippocampal afferents accompanied. Identification of the prominent molecular hippocampal pathways may lead to the development of new therapeutic approaches for the treatment of long-term SAH consequences.

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Patients SAHGEN: cerebral vasospasm after subarachnoid hemorrhage

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