Title |
The Potential Role of Platelet-Related microRNAs in the Development of Cardiovascular Events in High-Risk Populations, Including Diabetic Patients: A Review
|
---|---|
Published in |
Frontiers in endocrinology, March 2018
|
DOI | 10.3389/fendo.2018.00074 |
Pubmed ID | |
Authors |
Justyna Pordzik, Katarzyna Pisarz, Salvatore De Rosa, Axel Dyve Jones, Ceren Eyileten, Ciro Indolfi, Lukasz Malek, Marek Postula |
Abstract |
Platelet activation plays a pivotal role in the development and progression of atherosclerosis, which often leads to potentially fatal ischemic events at later stages of the disease. Platelets and platelet microvesicles (PMVs) contain large amounts of microRNA (miRNA), which contributes largely to the pool of circulating miRNAs. Hence, they represent a promising option for the development of innovative diagnostic biomarkers, that can be specific for the underlying etiology. Circulating miRNAs can be responsible for intracellular communication and may have a biological effect on target cells. As miRNAs associated to both cardiovascular diseases (CVD) and diabetes mellitus can be measured by means of a wide array of techniques, they can be exploited as an innovative class of smart disease biomarkers. In this manuscript, we provide an outline of miRNAs associated with platelet function and reactivity (miR-223, miR-126, miR-197, miR-191, miR-21, miR-150, miR-155, miR-140, miR-96, miR-98) that should be evaluated as novel biomarkers to improve diagnostics and treatment of CVD. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 14% |
Student > Bachelor | 10 | 14% |
Student > Ph. D. Student | 9 | 13% |
Student > Master | 9 | 13% |
Student > Postgraduate | 5 | 7% |
Other | 8 | 11% |
Unknown | 21 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 14 | 19% |
Medicine and Dentistry | 10 | 14% |
Agricultural and Biological Sciences | 7 | 10% |
Immunology and Microbiology | 4 | 6% |
Nursing and Health Professions | 3 | 4% |
Other | 7 | 10% |
Unknown | 27 | 38% |