Evidence map›Paper›PMID 23831034›Full record

ArticleJournal of the American College of Cardiology2013

Aspirin exposure reveals novel genes associated with platelet function and cardiovascular events.

Deepak Voora, Derek Cyr, Joseph Lucas, Jen-Tsan Chi, Jennifer Dungan, Timothy A McCaffrey, Richard Katz, L Kristin Newby, William E Kraus, Richard C Becker and 2 more

Abstract readComparative Study
In one paragraph

Article in Journal of the American College of Cardiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Trial
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  4. Frontiers in immunology · 2026
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  13. [Association betweenBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    Article
  14. Article
  15. [Association ofBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    Article
  16. Influence of Sex on Platelet Reactivity in Response to Aspirin.Journal of the American Heart Association · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Deepak VooraInstitute for Genome Sciences & Policy, Duke University, Durham, North Carolina; Department of Medicine, Duke University, Durham, North Carolina. Electronic address: deepak.voora@duke.edu.
Derek CyrInstitute for Genome Sciences & Policy, Duke University, Durham, North Carolina.
Joseph LucasInstitute for Genome Sciences & Policy, Duke University, Durham, North Carolina.
Jen-Tsan ChiInstitute for Genome Sciences & Policy, Duke University, Durham, North Carolina.
Jennifer DunganDepartment of Medicine, Duke University, Durham, North Carolina.
Timothy A McCaffreyDivision of Genomic Medicine, The George Washington University/Medical Faculty Associates, Washington, DC.
Richard KatzDivision of Cardiology, Department of Medicine, The George Washington University/Medical Faculty Associates, Washington, DC.
L Kristin NewbyDepartment of Medicine, Duke University, Durham, North Carolina.
William E KrausDepartment of Medicine, Duke University, Durham, North Carolina.
Richard C BeckerDepartment of Medicine, Duke University, Durham, North Carolina.
Thomas L OrtelDepartment of Medicine, Duke University, Durham, North Carolina.
Geoffrey S GinsburgInstitute for Genome Sciences & Policy, Duke University, Durham, North Carolina; Department of Medicine, Duke University, Durham, North Carolina. Electronic address: geoffrey.ginsburg@duke.edu.

Funding

Pilot Project for the DTMI CRA ProgramUL1RR024128 · NCRR · DUKE UNIVERSITY · PI CALIFF, ROBERT M · 2006 to 2010
$48.1M
MULTIDISCIPLINARY HEART &VASCULAR DISEASEST32HL007101 · NHLBI · DUKE UNIVERSITY · PI FREEDMAN, NEIL J. · 1985 to 2020
$9.8M
Duke CTSIKL2RR024127 · NCRR · DUKE UNIVERSITY · PI CALIFF, ROBERT M · 2006 to 2011
$3.9M
Thrombosis and Hemostasis Centers Research and Prevention NetworkU01DD000014 · DD · DUKE UNIVERSITY · PI ORTEL, THOMAS L · 2007 to 2011
$1.1M
Phase I Clinical Trial Describing the Pharmacogenomics of AspirinRC1GM091083 · NIGMS · DUKE UNIVERSITY · PI GINSBURG, GEOFFREY S · 2009 to 2010
$1000k
NCBDD CDC HHS 5U01DD000014NCBDD CDC HHS U01 DD000014NCRR NIH HHS 5UL1RR024128NCRR NIH HHS KL2 RR024127NCRR NIH HHS UL1 RR024128NHLBI NIH HHS 5T32HL007101NHLBI NIH HHS T32 HL007101NIGMS NIH HHS 5RC1GM091083NIGMS NIH HHS RC1 GM091083
6 · The paper itself

Abstract

objectivesThe aim of this study was to develop ribonucleic acid (RNA) profiles that could serve as novel biomarkers for the response to aspirin.

backgroundAspirin reduces death and myocardial infarction (MI), suggesting that aspirin interacts with biological pathways that may underlie these events.

methodsAspirin was administered, followed by whole-blood RNA microarray profiling, in a discovery cohort of healthy volunteers (HV1) (n = 50) and 2 validation cohorts of healthy volunteers (HV2) (n = 53) and outpatient cardiology patients (OPC) (n = 25). Platelet function was assessed using the platelet function score (PFS) in HV1 and HV2 and the VerifyNow Aspirin Test (Accumetrics, Inc., San Diego, California) in OPC. Bayesian sparse factor analysis identified sets of coexpressed transcripts, which were examined for associations with PFS in HV1 and validated in HV2 and OPC. Proteomic analysis confirmed the association of validated transcripts in platelet proteins. Validated gene sets were tested for association with death or MI in 2 patient cohorts (n = 587 total) from RNA samples collected at cardiac catheterization.

resultsA set of 60 coexpressed genes named the "aspirin response signature" (ARS) was associated with PFS in HV1 (r = -0.31, p = 0.03), HV2 (r = -0.34, Bonferroni p = 0.03), and OPC (p = 0.046). Corresponding proteins for the 17 ARS genes were identified in the platelet proteome, of which 6 were associated with PFS. The ARS was associated with death or MI in both patient cohorts (odds ratio: 1.2 [p = 0.01]; hazard ratio: 1.5 [p = 0.001]), independent of cardiovascular risk factors. Compared with traditional risk factors, reclassification (net reclassification index = 31% to 37%, p ≤ 0.0002) was improved by including the ARS or 1 of its genes, ITGA2B.

conclusionsRNA profiles of platelet-specific genes are novel biomarkers for identifying patients who do not respond adequately to aspirin and who are at risk for death or MI.

Indexed as

AspirinBayes TheoremBlood PlateletsCardiovascular DiseasesGenesHumansMicroarray AnalysisPlatelet Aggregation InhibitorsPlatelet Function TestsProteomicsReal-Time Polymerase Chain ReactionRisk FactorsRNAAspirinPlatelet Aggregation InhibitorsRNAARSaspirinaspirin response signaturebiomarkersCADCatheterization GeneticsCATHGENCIconfidence intervalcoronary artery diseaseDuke University Medical CenterDUMCgeneshealthy volunteer discovery cohorthealthy volunteer validation cohortHV1HV2mean platelet volumeMIMPVmyocardial infarctionodds ratioOPCORoutpatient cardiology cohortPCRPFSplatelet function scoreplateletspolymerase chain reactionreal-time polymerase chain reactionribonucleic acidRNART-PCR

Identifiers

PMID23831034
PMCPMC3786046

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.