2013
DOI: 10.1016/j.gene.2013.02.032
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Aspirin insensitive thrombophilia: Transcript profiling of blood identifies platelet abnormalities and HLA restriction

Abstract: Aspirin is the most widely used antiplatelet agent because it is safe, efficient, and inexpensive. However, a significant subset of patients does not exhibit a full inhibition of platelet aggregation, termed ‘aspirin resistance’ (AR). Several major studies have observed that AR patients have a 4-fold increased risk of myocardial infarction (MI), stroke, and other thrombotic events. Arachidonic acid-stimulated whole blood aggregation was tested in 132 adults at risk for ischemic events, and identified an inadeq… Show more

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Cited by 12 publications
(6 citation statements)
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“…These data might support that HLA-G secretion in most hepatic diseases is correlated with the intensity of inflammation and immunity. Moreover, the HLA expression may be a contributing factor to aspirin resistance and platinum resistance [ 22 , 23 ]. This means that abnormal expression of HLA is a poor prognostic mechanism for drug response.…”
Section: Discussionmentioning
confidence: 99%
“…These data might support that HLA-G secretion in most hepatic diseases is correlated with the intensity of inflammation and immunity. Moreover, the HLA expression may be a contributing factor to aspirin resistance and platinum resistance [ 22 , 23 ]. This means that abnormal expression of HLA is a poor prognostic mechanism for drug response.…”
Section: Discussionmentioning
confidence: 99%
“…We previously described (9) an o ut p atient c ardiology cohort (OPC, Supplemental Methods, Figure 1) treated with 81mg/day aspirin assessed with the VerifyNow Aspirin device and whole blood RNA microarray analysis.…”
Section: Methodsmentioning
confidence: 99%
“…(9) Three categories of individuals were profiled by microarray based on their aspirin response units (ARU): Aspirin resistant (AR, ARU > 550); High normal (HN, 500 < ARU < 550); Aspirin sensitive (AS, ARU < 550). ARS values are for each group are plotted and compared using two-sample t-tests.…”
Section: Figurementioning
confidence: 99%
“…In the context of a hypothesis-generating, exploratory study such as this, the prior analysis using 9 DEG methods may risk missing biologically important pathways in favor of statistical rigor. The datasets were re-analyzed using an RPKM threshold of 0.01, and combined fold-change (> 1.5) and p value (< 0.01, uncorrected) filtering approach that has proven useful in prior biomarker studies [ 66 , 67 ]. This triple filter identified 524 transcripts in the case–control study (Additional file 6 : Table S3), and 505 transcripts in the twin cohort (Additional file 7 : Table S4).…”
Section: Resultsmentioning
confidence: 99%