Abstract
Background: Hyperreactive platelets are central to atherothrombotic events, including myocardial infarction (MI) and stroke. Currently, no routine clinical test can identify individuals with hyperreactive platelets. The development of a diagnostic platelet hyperreactivity test could identify patients most likely to benefit from antiplatelet therapy to reduce cardiovascular (CV) events. Aim: To develop a diagnostic tool to discriminate platelet hyperreactivity and CV risk. Methods: Platelet aggregation (0.4 μM epinephrine) was assessed by light transmission aggregometry (LTA) and responses >60% were classified as “hyperreactive” and <40% “normoreactive”. Simultaneously, platelet RNA was collected and sequenced (RNA-seq; n=88). Using machine-based learning, a hyperreactive platelet transcriptomic signature was identified, and a Platelet Reactivity ExpreSsion Score (PRESS) was assigned to each participant. Model training performance was evaluated by 10-fold cross-validation. Signature validation was performed in (a) control cohort without CV disease (n=35), and the diagnostic capacity of PRESS was assessed in patients (b) undergoing coronary angiography (n=28) and (c) lower extremity revascularization (LER, n=129). Results: PRESS successfully identified a hyperreactive platelet phenotype in patients with CV disease (AUC 0.81, 95% CI 0.68 - 0.94) and in an independent cohort of healthy participants off antiplatelet therapy (AUC 0.77, 95% CI 0.75 - 0.79). In patients undergoing diagnostic cardiac catheterization, PRESS was significantly higher in patients experiencing an acute MI (β=1.8, adj p=0.02). Among patients undergoing LER, those with a PRESS above the median were more likely to develop a future CV event (adj HR 1.90, CI 1.07 - 3.36, p=0.027). Conclusions: A platelet-derived transcriptomic signature identified individuals with hyperreactive platelets and was associated with increased CV risk. A diagnostic platelet reactivity score may facilitate a personalized approach to antithrombotic therapy for CV risk reduction.
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