TY - JOUR
T1 - Non-coding RNAs to aid in neurological prognosis after cardiac arrest
AU - Salgado-Somoza, Antonio
AU - Stefanizzi, Francesca Maria
AU - Stammet, Pascal
AU - Erlinge, David
AU - Friberg, Hans
AU - Nielsen, Niklas
AU - Devaux, Yvan
N1 - Funding Information:
Funding: This work was funded by the National Research Fund (grants # C14/BM/8225223 and C17/BM/11613033), the Ministry of Higher Education and Research, the Society for Research on Cardiovascular Diseases of Luxembourg, the Swedish Research Council and the Swedish governmental funding within the ALF-system.
Publisher Copyright:
© 2019 by the authors.
PY - 2018/12/18
Y1 - 2018/12/18
N2 - 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.
AB - 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.
KW - Biomarkers
KW - Cardiac arrest
KW - Non-coding RNAs
UR - http://www.scopus.com/inward/record.url?scp=85059465632&partnerID=8YFLogxK
U2 - 10.3390/ncrna4040042
DO - 10.3390/ncrna4040042
M3 - Review article
AN - SCOPUS:85059465632
SN - 2311-553X
VL - 4
JO - Non-coding RNA
JF - Non-coding RNA
IS - 4
M1 - 42
ER -