Salgado-Somoza Antonio, Stefanizzi Francesca Maria, Stammet Pascal, Erlinge David, Friberg Hans, Nielsen Niklas, Devaux Yvan
Cardiovascular Research Unit, Department of Population Health, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg.
Medical and Health Department, Luxembourg Fire and Rescue Corps, L-2557 Luxembourg, Luxembourg.
Noncoding RNA. 2018 Dec 18;4(4):42. doi: 10.3390/ncrna4040042.
Cardiovascular disease in general, and sudden cardiac death in particular, have an enormous socio-economic burden worldwide. Despite significant efforts to improve cardiopulmonary resuscitation, survival rates remain low. Moreover, patients who survive to hospital discharge have a high risk of developing severe physical or neurological symptoms. Being able to predict outcomes after resuscitation from cardiac arrest would make it possible to tailor healthcare approaches, thereby maximising efforts for those who would mostly benefit from aggressive therapy. However, the identification of patients at risk of poor recovery after cardiac arrest is still a challenging task which could be facilitated by novel biomarkers. Recent investigations have recognised the potential of non-coding RNAs to aid in outcome prediction after cardiac arrest. In this review, we summarize recent discoveries and propose a handful of novel perspectives for the use of non-coding RNAs to predict outcome after cardiac arrest, discussing their use for precision medicine.
心血管疾病总体而言，尤其是心源性猝死，在全球范围内造成了巨大的社会经济负担。尽管在改善心肺复苏方面付出了巨大努力，但生存率仍然很低。此外，存活至出院的患者出现严重身体或神经症状的风险很高。能够预测心脏骤停复苏后的结果将使定制医疗方法成为可能，从而为那些最能从积极治疗中受益的人最大限度地努力。然而，识别心脏骤停后恢复不良风险的患者仍然是一项具有挑战性的任务，新型生物标志物可能会有所帮助。最近的研究已经认识到非编码RNA在心脏骤停后辅助结果预测方面的潜力。在这篇综述中，我们总结了最近的发现，并提出了一些关于使用非编码RNA预测心脏骤停后结果的新观点，讨论它们在精准医学中的应用。
