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Prediction of neurological outcomes shortly after cardiac arrest

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE29540 | GEO | 2013/06/01

SECONDARY ACCESSION(S): PRJNA141441

REPOSITORIES: GEO

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Prediction of neurological outcomes shortly after cardiac arrest

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 (33Â°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

Prediction of neurological outcomes shortly after cardiac arrest

Project description: Not available

| S-DIXA-D-1095 | biostudies-other

Homo sapiens

Project description:Prediction of neurological outcomes shortly after cardiac arrest

| PRJNA141441 | ENA

Single-cell transcriptomics reveal hyperacute cytokine and immune checkpoint axis in patients with poor neurological outcomes after cardiac arrest [BRI]

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

Identification of novel biomarkers for prediction of neurological prognosis following cardiac arrest

Project description:We examined 22 comatose patients resuscitated after CA and obtained peripheral blood from the patients at 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.

2017-01-01 | GSE92696 | GEO

Circulating microRNAs to predict neurological outcome after sudden cardiac arrest

Project description:Studies of miRNA profiling to predict outcome in cardiac arrest patients treated with therapeutic hypothermia (TH)

2013-01-11 | GSE34643 | GEO

Single-cell transcriptomics reveal a hyperacute cytokine and immune checkpoint axis after cardiac arrest in patients with poor neurological outcome

2023-06-01 | GSE200117 | GEO

Circular RNAs to predict clinical outcome after cardiac arrest

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

Serum proteome profiles in patients treated with targeted temperature management after out-of-hospital cardiac arrest

Project description:This pilot study aimed to investigate serum proteome profiles from unconscious patients admitted to hospital after out-of-hospital cardiac arrest according to temperature treatment and neurological outcome.

2023-10-24 | PXD040592 | Pride

Next generation sequencing identifies circulating microRNAs in cardiac arrest patients

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

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