PT  - JOURNAL ARTICLE
AU  - Evan D Muse
AU  - Eric R Kramer
AU  - Haiying Wang
AU  - Paddy Barrett
AU  - Fereshteh Parviz
AU  - Mark A Novotny
AU  - Roger S Lasken
AU  - Timothy A Jatkoe
AU  - Glenn Oliveira
AU  - Hongfan Peng
AU  - Jerry Lu
AU  - Marc C Connelly
AU  - Kurt Schilling
AU  - Chandra Rao
AU  - Ali Torkamani
AU  - Eric J. Topol
TI  - A Whole Blood Molecular Signature for Acute Myocardial Infarction
AID  - 10.1101/045013
DP  - 2016 Jan 01
TA  - bioRxiv
PG  - 045013
4099  - http://biorxiv.org/content/early/2016/03/21/045013.short
4100  - http://biorxiv.org/content/early/2016/03/21/045013.full
AB  - Chest pain is a leading reason patients seek medical evaluation. While assays to detect myocyte death are used to diagnose a heart attack (acute myocardial infarction, AMI), there is no biomarker to indicate an impending cardiac event. Transcriptional patterns present in circulating endothelial cells (CEC) may provide a window into the plaque rupture process and identify a proximal biomarker for AMI. Thus, we aimed to identify a transcriptomic signature of AMI present in whole blood, but derived from CECs. Candidate genes indicative of AMI were nominated from microarray of enriched CEC samples, and then verified for detectability and predictive potential via qPCR in whole blood. This signature was validated in an independent cohort. Our findings suggest that a whole blood CEC-derived molecular signature identifies patients with AMI and sets the framework to potentially identify the earlier stages of an impending cardiac event where conventional biomarkers indicative of myonecrosis remain undetected.AMIacute myocardial infarctionAUCarea under the curveCADcoronary artery diseaseCECcirculating endothelial cellsCMPcirculating microparticlesCVDcardiovascular diseaseGSEAgene set enrichment analysisqPCRquantitative polymerase chain reactionROCreceiver operator characteristic