Literature DB >> 28503981

Platelet reactivity influences clot structure as assessed by fractal analysis of viscoelastic properties.

Rebecca B Knowles1, Matthew J Lawrence2,3, Plinio M Ferreira1, Melissa A Hayman1, Lindsay A D'Silva2,3, Sophie N Stanford2,3, Ahmed Sabra2,3, Arthur T Tucker1, Karl M Hawkins2,3, Phylip R Williams4, Timothy D Warner1, Phillip A Evans2,3.   

Abstract

Despite the interwoven nature of platelet activation and the coagulation system in thrombosis, few studies relate both analysis of protein and cellular parts of coagulation in the same population. In the present study, we use matched ex vivo samples to determine the influences of standard antiplatelet therapies on platelet function and use advanced rheological analyses to assess clot formation. Healthy volunteers were recruited following fully informed consent then treated for 7 days with single antiplatelet therapy of aspirin (75 mg) or prasugrel (10 mg) or with dual antiplatelet therapy (DAPT) using aspirin (75 mg) plus prasugrel (10 mg) or aspirin (75 mg) plus ticagrelor (90 mg). Blood samples were taken at day 0 before treatment and at day 7 following treatment. We found that aspirin plus prasugrel or aspirin plus ticagrelor inhibited platelet responses to multiple agonists and reduced P-selectin expression. Significant platelet inhibition was coupled with a reduction in fractal dimension corresponding to reductions in mean relative mass both for aspirin plus prasugrel (-35 ± 16% change, p = 0.04) and for aspirin plus ticagrelor (-45 ± 14% change, p = 0.04). Aspirin alone had no effect upon measures of clot structure, whereas prasugrel reduced fractal dimension and mean relative mass. These data demonstrate that platelets are important determinants of clot structure as assessed by fractal dimension (df) and that effective platelet inhibition is associated with a weaker, more permeable fibrin network. This indicates a strong association between the therapeutic benefits of antiplatelet therapies and their abilities to reduce thrombus density that may be useful in individual patients to determine the functional relationship between platelet reactivity, eventual clot quality, and clinical outcome. df could represent a novel risk stratification biomarker useful in individualizing antiplatelet therapies.

Entities:  

Keywords:  Blood coagulation; Platelet aggregation inhibitors; blood platelets; fibrin; thrombosis

Mesh:

Year:  2017        PMID: 28503981     DOI: 10.1080/09537104.2017.1306039

Source DB:  PubMed          Journal:  Platelets        ISSN: 0953-7104            Impact factor:   3.862


  3 in total

1.  Predictors of high on-aspirin platelet reactivity in elderly patients with coronary artery disease.

Authors:  J W Zhang; W W Liu; Timothy A McCaffrey; X Q He; W Y Liang; X H Chen; X R Feng; Sidney W Fu; M L Liu
Journal:  Clin Interv Aging       Date:  2017-08-10       Impact factor: 4.458

Review 2.  Relationship between lipoproteins, thrombosis, and atrial fibrillation.

Authors:  Wern Yew Ding; Majd B Protty; Ian G Davies; Gregory Y H Lip
Journal:  Cardiovasc Res       Date:  2022-02-21       Impact factor: 10.787

3.  The effects of apixaban on clot characteristics in atrial fibrillation: A novel pharmacodynamic biomarker.

Authors:  Matthew J Lawrence; Vanessa Evans; Janet Whitley; Suresh Pillai; Phylip R Williams; James Coulson; Manju Krishnan; Peter Slade; Kieron Power; Roger H K Morris; Phillip A Evans
Journal:  Pharmacol Res Perspect       Date:  2022-04
  3 in total

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