Dataset Information

Role of unphosphorylated transcription factor STAT3 in late cerebral ischemia after subarachnoid hemorrhage.

ABSTRACT: Molecular mechanisms behind increased cerebral vasospasm and local inflammation in late cerebral ischemia after subarachnoid hemorrhage (SAH) are poorly elucidated. Using system biology tools and experimental SAH models, we have identified signal transducer and activator of transcription 3 (STAT3) transcription factor as a possible major regulatory molecule. On the basis of the presence of transcription factor binding sequence in the promoters of differentially regulated genes (significant enrichment PE: 6 × 10(5)) and the consistent expression of STAT3 (mRNA, P=0.0159 and Protein, P=0.0467), we hypothesize that unphosphorylated STAT3 may directly DNA bind and probably affect the genes that are involved in inflammation and late cerebral ischemia to influence the pathologic progression of SAH.

SUBMITTER: Samraj AK

PROVIDER: S-EPMC4013756 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Role of unphosphorylated transcription factor STAT3 in late cerebral ischemia after subarachnoid hemorrhage.

Samraj Ajoy K AK Müller Anne H AH Grell Anne-Sofie AS Edvinsson Lars L

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 20140212 5

Molecular mechanisms behind increased cerebral vasospasm and local inflammation in late cerebral ischemia after subarachnoid hemorrhage (SAH) are poorly elucidated. Using system biology tools and experimental SAH models, we have identified signal transducer and activator of transcription 3 (STAT3) transcription factor as a possible major regulatory molecule. On the basis of the presence of transcription factor binding sequence in the promoters of differentially regulated genes (significant enric ...[more]

PMID: 24517975

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Project description:BackgroundGood-grade aneurysmal subarachnoid hemorrhage (Hunt and Hess 1-2) is generally associated with a favorable prognosis. Nonetheless, patients may still experience secondary deterioration due to delayed cerebral ischemia (DCI), contributing to poor outcome. In those patients, neurological assessment is challenging and invasive neuromonitoring (INM) may help guide DCI treatment.MethodsAn observational analysis of 135 good-grade SAH patients referred to a single tertiary care center between 2010 and 2018 was performed. In total, 54 good-grade SAH patients with secondary deterioration evading further neurological assessment, were prospectively enrolled for this analysis. The cohort was separated into two groups: before and after introduction of INM in 2014 (pre-INMSecD: n = 28; post-INMSecD: n = 26). INM included either parenchymal oxygen saturation measurement (ptiO2), cerebral microdialysis or both. Episodes of DCI (ptiO2 < 10 mmHg or lactate/pyruvate > 40) were treated via induced hypertension or in refractory cases by endovascular means. The primary outcome was defined as the extended Glasgow outcome scale after 12 months. In addition, we recorded the amount of imaging studies performed and the occurrence of silent and overall DCI-related infarction.ResultsSecondary deterioration, impeding neurological assessment, occurred in 54 (40.0%) of all good-grade SAH patients. In those patients, a comparable rate of favorable outcome at 12 months was observed before and after the introduction of INM (pre-INMSecD 14 (50.0%) vs. post-INMSecD 16, (61.6%); p = 0.253). A significant increase in good recovery (pre-INMSecD 6 (50.0%) vs. post-INMSecD 14, (61.6%); p = 0.014) was observed alongside a reduction in the incidence of silent infarctions (pre-INMSecD 8 (28.6%) vs. post-INMSecD 2 (7.7%); p = 0.048) and of overall DCI-related infarction (pre-INMSecD 12 (42.8%) vs. post-INMSecD 4 (23.1%); p = 0.027). The number of CT investigations performed during the DCI time frame decreased from 9.8 ± 5.2 scans in the pre-INMSecD group to 6.1 ± 4.0 (p = 0.003) in the post-INMSecD group.ConclusionsA considerable number of patients with good-grade SAH experiences secondary deterioration rendering them neurologically not assessable. In our cohort, the introduction of INM to guide DCI treatment in patients with secondary deterioration increased the rate of good recovery after 12 months. Additionally, a significant reduction of CT scans and infarction load was recorded, which may have an underestimated impact on quality of life and more subtle neuropsychological deficits common after SAH.

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.

Dataset Information

Role of unphosphorylated transcription factor STAT3 in late cerebral ischemia after subarachnoid hemorrhage.

Publications

Role of unphosphorylated transcription factor STAT3 in late cerebral ischemia after subarachnoid hemorrhage.

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