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Journal of Thrombosis and Thrombolysis

, Volume 33, Issue 3, pp 246–257 | Cite as

Time-dependent changes in non-COX-1-dependent platelet function with daily aspirin therapy

  • Deepak VooraEmail author
  • Thomas L. Ortel
  • Joseph E. Lucas
  • Jen-Tsan Chi
  • Richard C. Becker
  • Geoffrey S. Ginsburg
Article

Abstract

To develop an integrated metric of non-COX-1-dependent platelet function (NCDPF) to measure the temporal response to aspirin in healthy volunteers and diabetics. NCDPF on aspirin demonstrates wide variability, despite suppression of COX-1. Although a variety of NCDPF assays are available, no standard exists and their reproducibility is not established. We administered 325 mg/day aspirin to two cohorts of volunteers (HV1, n = 52, and HV2, n = 96) and diabetics (DM, n = 74) and measured NCDPF using epinephrine, collagen, and ADP aggregometry and PFA100 (collagen/epi) before (Pre), after one dose (Post), and after several weeks (Final). COX-1 activity was assessed with arachidonic acid aggregometry (AAA). The primary outcome of the study, the platelet function score (PFS), was derived from a principal components analysis of NCDPF measures. The PFS strongly correlated with each measure of NCDPF in each cohort. After 2 or 4 weeks of daily aspirin the Final PFS strongly correlated (r > 0.7, P < 0.0001) and was higher (P < 0.01) than the Post PFS. The magnitude and direction of the change in PFS (Final–Post) in an individual subject was moderately inversely proportional to the Post PFS in HV1 (r = −0.45), HV2 (r = −0.54), DM (r = −0.68), P < 0.0001 for all. AAA remained suppressed during aspirin therapy. The PFS summarizes multiple measures of NCDPF. Despite suppression of COX-1 activity, NCDPF during aspirin therapy is predictably dynamic: those with heightened NCDPF continue to decline whereas those with low/normal NCDPF return to pre-aspirin levels over time.

Keywords

Aspirin Platelets Light transmittance aggregometry PFA100 Principal components analysis 

Notes

Acknowledgments

This study was funded by institutional funds provided by the Duke Institute for Genome Sciences & Policy, a National Institutes of Health (NIH) T32 Training grant (5T32HL007101 to DV), a grant (5UL1RR024128) from the National Center for Research Resources (NCRR), a component of the NIH, and NIH Roadmap for Medical Research, a grant (5RC1GM091083 to GSG) from the National Institutes of General Medical Sciences, and a grant (5U01DD000014-06 to TLO) from the Centers for Disease Control and Prevention. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official view of NCRR or NIH.

Supplementary material

11239_2012_683_MOESM1_ESM.docx (47 kb)
Supplementary material 1 (DOCX 46 kb)

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • Deepak Voora
    • 1
    Email author
  • Thomas L. Ortel
    • 1
  • Joseph E. Lucas
    • 1
  • Jen-Tsan Chi
    • 1
  • Richard C. Becker
    • 1
  • Geoffrey S. Ginsburg
    • 1
  1. 1.Institute for Genome Sciences and PolicyDuke UniversityDurhamUSA

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