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MicroRNAs: new biomarkers and therapeutic targets after cardiac arrest?

Devaux, Yvan; Stammet, Pascal; Friberg, Hans LU ; Hassager, Christian; Kuiper, Michael A; Wise, Matt P and Nielsen, Niklas LU (2015) In Critical Care 19(1).
Abstract
Despite advances in resuscitation medicine, including target temperature management as part of postcardiac arrest care, many patients will have a poor neurological outcome, most often resulting in death. It is a commonly held belief that the ability to prognosticate outcome at an early stage after cardiac arrest would allow subsequent health care delivery to be tailored to individual patients. However, currently available predictive methods and biomarkers lack sufficient accuracy and therefore cannot be generally recommended in clinical practice. MicroRNAs have recently emerged as potential biomarkers of cardiovascular diseases. While the biomarker value of microRNAs for myocardial infarction or heart failure has been extensively studied,... (More)
Despite advances in resuscitation medicine, including target temperature management as part of postcardiac arrest care, many patients will have a poor neurological outcome, most often resulting in death. It is a commonly held belief that the ability to prognosticate outcome at an early stage after cardiac arrest would allow subsequent health care delivery to be tailored to individual patients. However, currently available predictive methods and biomarkers lack sufficient accuracy and therefore cannot be generally recommended in clinical practice. MicroRNAs have recently emerged as potential biomarkers of cardiovascular diseases. While the biomarker value of microRNAs for myocardial infarction or heart failure has been extensively studied, less attention has been devoted to their prognostic value after cardiac arrest. This review highlights the recent discoveries suggesting that microRNAs may be useful both to predict outcome and to treat patients after cardiac arrest. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Critical Care
volume
19
issue
1
publisher
BioMed Central
external identifiers
  • pmid:25886727
  • scopus:84924275874
  • wos:000351916800001
ISSN
1364-8535
DOI
10.1186/s13054-015-0767-2
language
English
LU publication?
yes
id
1a564a52-718f-4add-9222-f2d0809c5a58 (old id 5341418)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/25886727?dopt=Abstract
date added to LUP
2015-05-05 14:36:36
date last changed
2017-11-19 03:00:16
@article{1a564a52-718f-4add-9222-f2d0809c5a58,
  abstract     = {Despite advances in resuscitation medicine, including target temperature management as part of postcardiac arrest care, many patients will have a poor neurological outcome, most often resulting in death. It is a commonly held belief that the ability to prognosticate outcome at an early stage after cardiac arrest would allow subsequent health care delivery to be tailored to individual patients. However, currently available predictive methods and biomarkers lack sufficient accuracy and therefore cannot be generally recommended in clinical practice. MicroRNAs have recently emerged as potential biomarkers of cardiovascular diseases. While the biomarker value of microRNAs for myocardial infarction or heart failure has been extensively studied, less attention has been devoted to their prognostic value after cardiac arrest. This review highlights the recent discoveries suggesting that microRNAs may be useful both to predict outcome and to treat patients after cardiac arrest.},
  articleno    = {54},
  author       = {Devaux, Yvan and Stammet, Pascal and Friberg, Hans and Hassager, Christian and Kuiper, Michael A and Wise, Matt P and Nielsen, Niklas},
  issn         = {1364-8535},
  language     = {eng},
  number       = {1},
  publisher    = {BioMed Central},
  series       = {Critical Care},
  title        = {MicroRNAs: new biomarkers and therapeutic targets after cardiac arrest?},
  url          = {http://dx.doi.org/10.1186/s13054-015-0767-2},
  volume       = {19},
  year         = {2015},
}