血小板
医学
内科学
血小板活化
内分泌学
平均血小板体积
富血小板血浆
血小板聚集
作者
Kaitlin Garofano,C. Sehwan Park,Cristina Alarcon,Juan Avitia,April Barbour,David Diemert,Claire M. Fraser,Paula N. Friedman,Anelia Horvath,Kameron Rashid,Mohammed Shaazuddin,Alfateh Sidahmed,Travis J. O’Brien,Minoli A. Perera,Norman H. Lee
摘要
The African American (AA) population displays a 1.6 to 3-fold higher incidence of thrombosis and stroke mortality compared to European Americans (EA). Current anti-platelet therapies target the ADP-mediated signaling pathway, which displays significant pharmacogenetic variation for platelet reactivity. The focus of this study was to define underlying population differences in platelet function in an effort to identify novel molecular targets for future anti-platelet therapy. We performed deep coverage RNA-Seq to compare gene expression levels in platelets derived from a cohort of healthy volunteers defined by ancestry determination. We identified >13,000 expressed platelet genes of which 480 were significantly differentially expressed genes (DEGs) between AAs and EAs. DEGs encoding proteins known or predicted to modulate platelet aggregation, morphology or platelet count were up-regulated in AA platelets. Numerous G-protein coupled receptors (GPCRs), ion channels, and pro-inflammatory cytokines not previously associated with platelet function were likewise differentially expressed. Many of the signaling proteins represent potential pharmacologic targets of intervention. Notably, we confirmed the differential expression of cytokines IL32 and PROK2 in an independent cohort by qRT-PCR, and provide functional validation of the opposing actions of these two cytokines on collagen-induced AA platelet aggregation. Using GTEx whole blood data, we identified 516 eQTLs with Fst values >0.25, suggesting that population-differentiated alleles may contribute to differences in gene expression. This study identifies gene expression differences at the population level that may affect platelet function and serve as potential biomarkers to identify CVD risk. Additionally, our analysis uncovers candidate novel druggable targets for future anti-platelet therapies.
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