The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Circulating microRNAs as novel biomarkers for platelet activation.
Abstract
Rationale: MicroRNA (miRNA) biomarkers are attracting considerable interest. Effects of medication, however, have not been investigated thus far. Objective: To analyze changes in plasma miRNAs in response to antiplatelet therapy. Methods and Results: Profiling for 377 miRNAs was performed in platelets, platelet microparticles, platelet-rich plasma, platelet-poor plasma, and serum. Platelet-rich plasma showed markedly higher levels of miRNAs than serum and platelet-poor plasma. Few abundant platelet miRNAs, such as miR-24, miR-197, miR-191, and miR-223, were also increased in serum compared with platelet-poor plasma. In contrast, antiplatelet therapy significantly reduced miRNA levels. Using custom-made quantitative real-time polymerase chain reaction plates, 92 miRNAs were assessed in a dose-escalation study in healthy volunteers at 4 different time points: at baseline without therapy, at 1 week with 10 mg prasugrel, at 2 weeks with 10 mg prasugrel plus 75 mg aspirin, and at 3 weeks with 10 mg prasugrel plus 300 mg aspirin. Findings in healthy volunteers were confirmed by individual TaqMan quantitative real-time polymerase chain reaction assays (n=9). Validation was performed in an independent cohort of patients with symptomatic atherosclerosis (n=33), who received low-dose aspirin at baseline. Plasma levels of platelet miRNAs, such as miR-223, miR-191, and others, that is, miR-126 and miR-150, decreased on further platelet inhibition. Conclusions: Our study demonstrated a substantial platelet contribution to the circulating miRNA pool and identified miRNAs responsive to antiplatelet therapy. It also highlights that antiplatelet therapy and preparation of blood samples could be confounding factors in case-control studies relating plasma miRNAs to cardiovascular disease.
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“the Ago2–miRNA complexes produced by RBCs may be taken up by other cells, which in turn downregulate gene expression by targeting specific mRNAs”
From Red Blood Cells as Potential Repositories of MicroRNAs in the Circulatory System (2020) · cites this paper as Willeit et al., 2013
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Cites
Ticagrelor versus clopidogrel in patients with acute coronary syndromes
Wallentin, L., Becker, R. C., Budaj, A., Cannon, C. P., Emanuelsson, H., Held, C., Horrow, J., Husted, S., James, S., Katus, H., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0904327 · Cited by 7,117
Control of Cholesterol Metabolism and Plasma High-Density Lipoprotein Levels by microRNA-144
Ramírez, C. M., Rotllan, N., Vlassov, A. V., Dávalos, A., Li, M., Goedeke, L., Aranda, J. F., Cirera-Salinas, D., Araldi, E., Salerno, A., et al. (2013) · Circulation Research · doi:10.1161/circresaha.112.300626 · Cited by 217 · cited 1×
“Conclusions—miR-144 regulates cholesterol metabolism via suppressing ABCA1 expression, and modulation of miRNAs may represent a potential therapeutical intervention for treating dyslipidemia and atherosclerotic vascular disease.(4)”
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Research works printed but not linked: 14
- 10.1073/pnas.0804549105 · DOI · Paper page
- 10.1161/circresaha.111.247445 · DOI
- 10.1161/circresaha.110.226357 · DOI · Paper page
- 10.1016/j.jacc.2012.03.056 · DOI
- 10.1093/cvr/cvr266 · DOI
- 10.1182/blood-2009-02-205930 · DOI
- 10.1111/j.1538-7836.2011.04450.x · DOI
- 10.1161/strokeaha.110.601807 · DOI
- 10.1160/TH12-02-0097 · DOI
- 10.1161/circresaha.109.215566 · DOI
- 10.1161/circulationaha.111.037572 · DOI
- 10.1016/j.jacc.2012.04.018 · DOI
- 10.1016/j.thromres.2011.05.008 · DOI
- 10.1016/j.jacc.2011.11.068 · DOI
Cited by
Sorted by citations
Age- and glycemia-related miR-126-3p levels in plasma and endothelial cells
Olivieri, F., Bonafè, M., Spazzafumo, L., Gobbi, M., Prattichizzo, F., Recchioni, R., Marcheselli, F., Sala, L. L., Galeazzi, R., Rippo, M. R., et al. (2014) · Aging · doi:10.18632/aging.100693 · Cited by 118
Red Blood Cells as Potential Repositories of MicroRNAs in the Circulatory System
Sun, L., Yu, Y., Niu, B., & Wang, D. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00442 · Cited by 83
Røsjø, H., Dahl, M. B., Bye, A., Andreassen, J., Jørgensen, M., Wisløff, U., Christensen, G., Edvardsen, T., & Omland, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091812 · Cited by 41
“In contrast, platelets do not seem to be an important contributor to miR-210 levels [19].”
BackgroundFiedler, J., Baker, A. H., Dimmeler, S., Heymans, S., Mayr, M., & Thum, T. (2018) · Cardiovascular Research · doi:10.1093/cvr/cvy121 · Cited by 40
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Metadata
- Authors
- Willeit, P., Zampetaki, A., Dudek, K., Kaudewitz, D., King, A., Kirkby, N. S., Crosby-Nwaobi, R., Prokopi, M., Drozdov, I., Langley, S. R., Sivaprasad, S., Markus, H. S., Mitchell, J. A., Warner, T. D., Kiechl, S., & Mayr, M.
- Affiliations
- From the Department of Neurology, Medical University Innsbruck, Austria (P.W., S.K.); Department of Public Health and Primary Care, University of Cambridge, United Kingdom (P.W.); King’s British Heart Foundation Centre, King’s College London, United Kingdom (A.Z., K.D., D.K., M.P., I.D., S.R.L., M.M.); Stroke and Dementia Research Centre, St George’s University of London, London, United Kingdom (A.K., H.S.M.); National Heart and Lung Institute, Imperial College, London, United Kingdom (N.S.K., J.A.M...
- Venue
- Circulation Research
- Published
- 2013-02-15
- Volume
- 112
- Issue
- 4
- Pages
- 595-600
- ISSN
- 0009-7330
- 1524-4571
- Cited by
- 365
- References
- 2
- Language
- en
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