Circular RNAs as prognostic biomarkers after cardiac arrest
| Autor: | Yvan Devaux, F Stefanizzi, Antonio Salgado-Somoza, Niklas Nielsen, L. Zhang |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | European Heart Journal. 41 |
| ISSN: | 1522-9645 0195-668X |
| Popis: | Background/Introduction More than 400,000 cases of cardiac arrest (CA) occur every year in Europe and only 10% of these patients survive without major neurological sequelae. Predicting outcome after CA would allow adapting healthcare. However, current prognostication modalities and biomarkers lack accuracy, requiring the discovery of new ones. Previous studies suggest that circulating noncoding RNAs (ncRNAs) constitute a reservoir of novel biomarkers. In particular, circular RNAs (circRNAs), a class of long ncRNAs, appear to have a promising biomarker potential. Purpose We aimed to identify circulating circRNAs able to predict neurological outcome and survival after CA. Methods Whole blood samples were collected from patients of the Target Temperature Management trial (TTM-trial; NCT01020916) 48h after CA in PAXgene RNA tubes. A discovery phase was conducted by RNA sequencing in a subgroup of 46 patients, among which 23 survived with no major neurological sequelae (cerebral performance category score 1 – CPC1) and 23 died within 6 months (CPC5). A validation phase was conducted by quantitative RT-PCR in 542 patients. Logistic regression was used to assess the association between circRNAs and 6-month neurological outcome. Kaplan Meier curves and Cox regression were used to test the ability of circRNAs to predict patients' survival at 6 months. Results The discovery phase identified 282 circRNAs in blood samples. Among these, twenty-one circRNAs were differentially expressed between patients with CPC1 and patients with CPC5 (p Conclusions Circulating levels of circRNAs measured 48h after CA are associated with neurological outcome and survival at 6 months. We have identified several circRNAs with potential to aid in outcome prediction after CA. These circRNAs remain to be independently validated in large patient cohorts. Figure 1 Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Research Fund of Luxembourg, Ministry of Higher Education and Research of Luxembourg |
| Databáze: | OpenAIRE |
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