Title |
Circulating Extracellular Vesicles Contain miRNAs and are Released as Early Biomarkers for Cardiac Injury
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Published in |
Journal of Cardiovascular Translational Research, July 2016
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DOI | 10.1007/s12265-016-9705-1 |
Pubmed ID | |
Authors |
Janine C. Deddens, Krijn R. Vrijsen, Johanna M. Colijn, Martinus I. Oerlemans, Corina H. G. Metz, Els J. van der Vlist, Esther N. M. Nolte-’t Hoen, Krista den Ouden, Sanne J. Jansen Of Lorkeers, Tycho I. G. van der Spoel, Stefan Koudstaal, Ger J. Arkesteijn, Marca H. M. Wauben, Linda W. van Laake, Pieter A. Doevendans, Steven A. J. Chamuleau, Joost P. G. Sluijter |
Abstract |
Plasma-circulating microRNAs have been implicated as novel early biomarkers for myocardial infarction (MI) due to their high specificity for cardiac injury. For swift clinical translation of this potential biomarker, it is important to understand their temporal and spatial characteristics upon MI. Therefore, we studied the temporal release, potential source, and transportation of circulating miRNAs in different models of ischemia reperfusion (I/R) injury. We demonstrated that extracellular vesicles are released from the ischemic myocardium upon I/R injury. Moreover, we provided evidence that cardiac and muscle-specific miRNAs are transported by extracellular vesicles and are rapidly detectable in plasma. Since these vesicles are enriched for the released miRNAs and their detection precedes traditional damage markers, they hold great potential as specific early biomarkers for MI. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Netherlands | 2 | 33% |
Australia | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 50% |
Members of the public | 3 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 107 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 25% |
Researcher | 14 | 13% |
Student > Bachelor | 11 | 10% |
Student > Master | 7 | 7% |
Professor | 6 | 6% |
Other | 19 | 18% |
Unknown | 23 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 30 | 28% |
Biochemistry, Genetics and Molecular Biology | 21 | 20% |
Agricultural and Biological Sciences | 9 | 8% |
Engineering | 5 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
Other | 9 | 8% |
Unknown | 30 | 28% |