Identification of novel biomarkers for prediction of neurological prognosis following cardiac arrest
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE92696 | GEO | 2017/01/01
SECONDARY ACCESSION(S): PRJNA358387
REPOSITORIES: GEO
Similar Datasets
Project description:Prediction of neurological outcomes shortly after cardiac arrest would represent a major breakthrough. We tested the ability of gene expression profiles of blood cells to predict outcome in cardiac arrest patients. 35 consecutive cardiac arrest patients treated with therapeutic hypothermia (33°C for 24h) were included in this prospective monocentre study. Cerebral Performance Category (CPC) was determined at discharge and 6 months later. All patients had blood sampling at the end of hypothermia. Gene expression profiles of blood cells were determined using 25,000~gene microarray in two groups of patients: good outcome (CPC 1-2) and bad outcome (CPC 3-5).
2013-06-01 | E-GEOD-29540 | biostudies-arrayexpress
Project description:Studies of miRNA profiling to predict outcome in cardiac arrest patients treated with therapeutic hypothermia (TH) Venous blood was collected in citrated tubes prior discharge. Plasma was harvested by centrifugation and stored at -80°C until assayed. Identical volumes of plasma from the 14 patients of a group (cerebral performance category (CPC): 1-2 or CPC: 3-5) were pooled to reach a final volume of 400µL for each group. The two pools were processed conjointly. Total RNA was extracted using miRVana isolation kit (Applied Biosystems), dephosphorylated and labeled using miRNA Complete Labeling and hybridization kit (Agilent). Hybridization was performed on miRNA Human Microarray Release 12.0 slides (Agilent). 4 arrays per pool were hybridized. Scanning was achieved with the Genepix 4000B Scanner (Molecular Devices, Sunnyvale, USA). Raw data were acquired with the Genepix Pro software (Molecular Devices).
2013-01-11 | E-GEOD-34643 | biostudies-arrayexpress
Project description:Prediction of neurological outcomes shortly after cardiac arrest would represent a major breakthrough. We tested the ability of gene expression profiles of blood cells to predict outcome in cardiac arrest patients.
2013-06-01 | GSE29540 | GEO
Project description:Neurological injury is a major driver for mortality among patients hospitalized after cardiac arrest (CA). The early systemic inflammatory response after CA is associated with neurological injury and mortality but remains poorly defined. We determine the innate immune network induced by clinical CA at single-cell resolution. Immune cell states diverge as early as 6h post-arrest between patients with good or poor neurological outcomes at hospital discharge. Nectin-2+ monocytes and Tim-3+ natural killer (NK) cell subpopulations associate with poor outcomes, and interactome analysis highlight their cross-talk via cytokines and immune checkpoints. Ex vivo studies on peripheral blood cells from CA patients demonstrate that immune checkpoints are a compensatory mechanism for the resolution of inflammation after CA. IFNγ/IL-10 induce Nectin-2 on monocytes; in a negative feedback loop, Nectin-2 suppresses IFNγ production by NK cells. The initial hours after CA may represent a window for therapeutic intervention in the resolution of inflammation via immune checkpoints.
2023-06-01 | GSE200118 | GEO
Project description:Neurological injury is a major driver for mortality among patients hospitalized after cardiac arrest (CA). The early systemic inflammatory response after CA is associated with neurological injury and mortality but remains poorly defined. We determine the innate immune network induced by clinical CA at single-cell resolution. Immune cell states diverge as early as 6h post-arrest between patients with good or poor neurological outcomes at hospital discharge. Nectin-2+ monocytes and Tim-3+ natural killer (NK) cell subpopulations associate with poor outcomes, and interactome analysis highlight their cross-talk via cytokines and immune checkpoints. Ex vivo studies on peripheral blood cells from CA patients demonstrate that immune checkpoints are a compensatory mechanism for the resolution of inflammation after CA. IFNγ/IL-10 induce Nectin-2 on monocytes; in a negative feedback loop, Nectin-2 suppresses IFNγ production by NK cells. The initial hours after CA may represent a window for therapeutic intervention in the resolution of inflammation via immune checkpoints.
2023-06-01 | GSE200117 | GEO
Project description:Background: Early prognostication is a major challenge after out-of-hospital cardiac arrest (OHCA). Aims: We hypothesized that a genome-wide analysis of blood gene expression could offer new prognostic tools and lines of research. Methods: Sixty-nine patients were enrolled from an ancillary study of the clinical trial NCT00999583 that tested the effect of erythropoietin (EPO) after OHCA. Blood samples were collected in comatose survivors of OHCA at hospital admission and 1 and 3 days after resuscitation. Gene expression profiles were analyzed (Illumina HumanHT-12 V4 BeadChip; >34,000 genes). Patients were classified into two categories representing neurologically favorable outcome (Cerebral Performance Category [CPC] = 1-2) vs unfavorable outcome (CPC>2) at Day 60 after OHCA. Differential and functional enrichment analyses were performed to compare transcriptomic profiles between these two categories. Results: Among the 69 enrolled patients, 33 and 36 patients were treated or not by EPO, respectively. Among them, 42% had a favorable neurological outcome in both groups. EPO did not affect the transcriptomic response at Day-0 and 1 after OHCA. In contrast, 76 transcripts differed at Day-0 between patients with unfavorable vs favorable neurological outcome. This signature persisted at Day-1 after OHCA. Functional enrichment analysis revealed a down-regulation of adaptive immunity with concomitant up-regulation of innate immunity and inflammation in patients with unfavorable vs favorable neurological outcome. The transcription of many genes of the HLA family was decreased in patients with unfavorable vs favorable neurological outcome. Concomitantly, neutrophil activation and inflammation were observed. Up-stream regulators analysis showed the implication of numerous factors involved in cell cycle and damages. A logistic regression including a set of genes allowed a reliable prediction of the clinical outcomes (Specificity=88%; Hit Rate=83%). Conclusions: A transcriptomic signature involving a counterbalance between adaptive and innate immune responses is able to predict neurological outcome very early after hospital admission after OHCA. This deserves confirmation in a larger population.
2019-03-21 | E-MTAB-7699 | biostudies-arrayexpress
Project description:Background: Cardiac arrest (CA) represents the third leading cause of death worldwide. Among survivors, severe neurological sequelae are frequent but difficult to predict. Novel prognostic biomarkers would offer clinicians the possibility to deliver personalized healthcare. The potential of small circulating noncoding RNAs (microRNAs) to predict neurological outcome and survival after CA has been reported. Objective: This study aims to identify circulating circular RNAs (circRNAs) associated with clinical outcome after CA. Methods and Results: Methods and Results: Whole blood samples obtained 48h after return of spontaneous circulation from 23 sex-matched survivors and 23 deceased cardiac arrest (CA) patients were enrolled in this study. Whole transcriptome RNA sequencing identified candidate RNAs associated with neurological outcome and survival. Conclusion: We have identified candidate RNAs associated with clinical outcome after CA whose predictive value remains to be confirmed in large populations.
2022-11-02 | GSE197764 | GEO
Project description:BackgroundEarly prognostication of neurological outcome in comatose patients after cardiac arrest (CA) is important for devising patient treatment strategies. However, there is still a lack of sensitive and specific biomarkers for easy identification of these patients. We evaluated whether molecular signatures from blood of CA patients might help to improve the prediction of neurological outcome.MethodsWe examined 22 comatose patients resuscitated after CA and obtained peripheral blood samples 48 hours after CA. To identify novel blood biomarkers, we aimed to measure neurological outcomes according to the Cerebral Performance Category (CPC) score at 6 months after CA and to determine blood transcriptome-based molecular signature of poor neurological outcome group.ResultsAccording to the CPC score, 10 patients exhibited a CPC score of one and 12 patients, a CPC score four to five. Blood transcriptomics revealed differently expressed profiles between the good outcome group and poor outcome group. A total of 150 genes were down-regulated and 237 genes were up-regulated in the poor neurological outcome group compared with good outcome group. From the blood transcriptome-based signatures, we identified that MAPK3, BCL2 and AKT1 were more specific and sensitive diagnostic biomarkers in poor neurological outcome with an area under the curve of 0.867 (p<0.0001), 0.800 (p=0.003), and 0.767 (p=0.016) respectively.ConclusionsWe identify three biomarkers as potential predictors of neurological outcome following CA. Further assessment of the prognostic value of transcriptomic analysis in larger cohorts of CA patients is needed.
| S-EPMC5369953 | biostudies-literature
Project description: Not available
| S-DIXA-D-1095 | biostudies-other
Project description:The goal of this study is to identify circulating microRNAs with prognostic value in a large cohort of comatose survivors of out-of-hospital cardiac arrest. We performed RNA-Seq for short RNAs in plasma, collected 48 hours after return of spontaneous circulation, of 50 cardiac arrest patients including 25 good neurological outcome at 6 months (cerebral performance category 1) and 25 poor neurological outcome including death at 6 months (cerebral performance category score 5). The sequencing generated on average 18.5 million reads per sample. After mapping the reads and counting to relevant entries in miRBase 20, we found 236 microRNAs detected in all 50 samples with TPM above or equals to 1. 11 microRNAs were differentially expressed between 2 groups with False Discovery Rate (FDR) < 5%.
2020-07-15 | GSE74198 | GEO