Circulating microRNAs as novel biomarkers for platelet activation.
Author(s): Willeit P, Zampetaki A, Dudek K, Kaudewitz D, King A, Kirkby NS, Crosby-Nwaobi R, Prokopi M, Drozdov I, Langley SR, Sivaprasad S, Markus HS, Mitchell JA, Warner TD, Kiechl S, Mayr M
Publication: Circ Res, 2013, Vol. 112, Page 595-600
PubMed ID: 23283721 PubMed Review Paper? No
Purpose of Paper
The purpose of this paper was to identify platelet (Plt) specific microRNA (miRNA, miR) and to determine the effects of treatment with antiplatelet therapy on miRNA expression.
Conclusion of Paper
Of the 377 miRNA assayed, miR-223 had the highest expression in Plts and Plt microparticles (PMP) and was the most differentially expressed between platelet-rich plasma (PRP) and platelet-poor plasma (PPP) or serum. In addition to inhibiting Plt aggregation, treatment of patients with antiplatelet therapy resulted in declines in the levels of 16 of the 95 assayed miRNA in healthy patients and 19 of the 90 assayed miRNA in patients with symptomatic carotid atherosclerosis. Reductions in miR-106a, miR-126, miR-150, miR-191, and miR-223 were observed in response to antiplatelet therapy in both healthy patients and those with symptomatic carotid atherosclerosis. Importantly, levels of the frequently used control, U6, were significantly lower after healthy individuals were treated for 1 week with prasugrel alone and after a second week of treatment with both prasugrel and 75 mg aspirin, but returned to baseline after the third week of treatment.
Studies
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Study Purpose
The purpose of this study was to compare miRNA expression in Plts, PMP, PPP, PRP and serum and to identify a miRNA marker for Plts in healthy individuals and patients with type II diabetes. PPP, PRP and serum were obtained from 3 healthy individuals and serum and PPP were obtained from 19 patients with type II diabetes. miRNA was extracted using the miRNeasy kit and quantified by real-time qPCR using TaqMan cards.
Summary of Findings:
Of the 377 miRNAs assessed, 136 miRNA were expressed in serum, PPP, and PRP, 31 were expressed in PPP and PRP, 7 were expressed in both serum and PRP, 96 were specific to PRP, 7 were specific to PPP and 1 just was specific to serum. Principal component analysis revealed that the majority of miRNAs were detected in PRP. The authors identified miR-223 as being the most differentially expressed miRNA between PRP, and PPP and serum in both healthy individuals and those diagnosed with diabetes, as it had the highest expression in Plts and PMP.
Biospecimens
Preservative Types
- None (Fresh)
Diagnoses:
- Diabetes Type 2
- Normal
Platform:
Analyte Technology Platform RNA Real-time qRT-PCR RNA Low density array Pre-analytical Factors:
Classification Pre-analytical Factor Value(s) Preaquisition Diagnosis/ patient condition Healthy
Type II diabetes
Biospecimen Aliquots and Components Blood and blood products Plasma
Platelet-poor plasma
Platelet-rich plasma
Platelets
Microparticles
-
Study Purpose
The purpose of this study was to determine the effect of antiplatelet therapy on Plt aggregation and miRNA profiles in healthy patients and those with symptomatic carotid atherosclerosis. PPP was obtained from 9 healthy individuals participating in a dual-antiplatelet dosing study at 5 time-points (before treatment, after treatment with 10 mg prasugrel for 1 week, after treatment with 10 mg prasugrel and 75 mg aspirin for a second week, and after treatment with 10 mg prasugrel and 300 mg aspirin for a third week). PPP was then assayed by real-time qPCR using custom TaqMan cards and individual TaqMan assays. Additionally, PPP was obtained from 12 patients with symptomatic carotid atherosclerosis taking dipyridamole (8 patients) or clopidogrel (4 patients) together with aspirin and assayed by real-time qPCR using custom Exiqon panels and individual TaqMan assays. All miRNA was extracted using the miRNeasy kit.
Summary of Findings:
In healthy patients treated with antiplatelet therapy as part of a clinical trial, platelet aggregation (in response to adenosine diphosphate (ADP), collagen, arachidonic acid (AA), adrenaline, thrombin receptor activator for peptide 6 (TRAP-6) and U46619) declined after a single week of treatment with prasugrel. However, levels of thromboxane B2 (TXB2), which is formed by clotting blood, and urinary 2,3-dinor-thromboxane A2 (TX-M), a metabolite of TXB2, only declined when prasugrel was combined with 75 mg aspirin. Treatment of healthy individuals with both prasugrel and aspirin elicited significant declines in miR-191 (p<0.001), miR-185 (p=0.011), miR-19a (p<0.001), miR-223 (p<0.001), miR-24 (p=0.013), miR-106a (p=0.001), miR-335 (p=0.002), miR-17 (p=0.002) miR-774 (p=0.001), miR-20b (p=0.013), miR-130a (p=0.012), miR-18a (p=0.042), miR-195 (p=0.024), miR-21 (p=0.015), miR-150 (p=0.012), and miR-126 (p<0.001) and an increase in miR-518f (p=0.032). Reductions in miR-126 (p<0.001), miR-150 (p=0.003), miR-191 (P=0.004), miR-106a (p=0.008) and miR-223 (p=0.016) were also observed in response to antiplatelet therapy in patients with symptomatic carotid atherosclerosis taking dipyridamole or clopidogrel with aspirin. In addition, treatment of patients with symptomatic carotid atherosclerosis with dipyridamole or clopidogrel with aspirin led to significant reductions in miR-210 (p<0.001), miR-214 (p=0.004), miR-152 (p=0.004), miR-340 (p=0.02), miR-142-3p (p=0.021), miR-30c (p=0.022), miR-146a (p=0.025), miR-28-5p (p=0.029), miR-26a (p=0.030), miR-590-5p (p=0.032), miR574-3p (p=0.038), miR-19b (p=0.042), miR-103 (p=0.045), and miR-199a-3p (p=0.049). Importantly, levels of a frequently used control, U6, were significantly lower after healthy individuals were treated for 1 week with prasugrel alone and after a second week of treatment with prasugrel and 75 mg aspirin, but returned to baseline after the third week of treatment.
Biospecimens
Preservative Types
- None (Fresh)
Diagnoses:
- Normal
- Arteriosclerosis
Platform:
Analyte Technology Platform RNA Low density array Cell count/volume Flow cytometry Small molecule Clinical chemistry/auto analyzer RNA Real-time qRT-PCR Pre-analytical Factors:
Classification Pre-analytical Factor Value(s) Preaquisition Other drugs Prasugrel
Prasugrel and aspirin
Dipyridamole and aspirin
Clopidogrel and aspirin
None
Preaquisition Diagnosis/ patient condition Healthy
Symptomatic carotid atherosclerosis
Biospecimen Acquisition Time of biospecimen collection Before treatment
After 1 week of antiplatelet therapy
After 2 weeks of antiplatelet therapy
After 3 weeks of antiplatelet therapy