Chapter title |
Circulating microRNAs as Biomarkers in Cardiovascular Diseases.
|
---|---|
Chapter number | 6 |
Book title |
Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance
|
Published in |
EXS, January 2015
|
DOI | 10.1007/978-3-0348-0955-9_6 |
Pubmed ID | |
Book ISBNs |
978-3-03-480953-5, 978-3-03-480955-9
|
Authors |
De Rosa, Salvatore, Indolfi, Ciro, Salvatore De Rosa, Ciro Indolfi |
Abstract |
MicroRNAs, key regulators of biological processes, are involved in the pathophysiological mechanisms underlying human diseases, including cardiovascular diseases. Their recent discovery revealed a previously unknown layer of pathophysiologic regulators, which also play a key role in the regulation of several aspects of cardiovascular diseases. More recently, it was demonstrated that circulating microRNAs can be measured in the blood. Hence, the potential use of microRNAs as disease biomarkers attracted many research groups. Indeed, their unusual stability in the bloodstream and during prolonged storage make circulating miRs very interesting as potential biomarkers. Circulating microRNAs are emerging as the next generation "smart" biomarkers and could be helpful in further improving the diagnostic and therapeutic processes of cardiovascular diseases. The present chapter summarizes the most relevant experimental evidence on circulating microRNAs in cardiovascular diseases, including arterial remodeling, restenosis, coronary artery disease, acute coronary syndromes, hypertension, heart failure, and ischemic stroke, highlighting potential pathophysiological correlations to the mechanisms underlying cardiovascular diseases. |
X Demographics
Geographical breakdown
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United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 3 | 18% |
Researcher | 3 | 18% |
Student > Doctoral Student | 2 | 12% |
Other | 2 | 12% |
Student > Ph. D. Student | 2 | 12% |
Other | 3 | 18% |
Unknown | 2 | 12% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 6 | 35% |
Biochemistry, Genetics and Molecular Biology | 3 | 18% |
Veterinary Science and Veterinary Medicine | 1 | 6% |
Computer Science | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 2 | 12% |
Unknown | 3 | 18% |