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首页> 外文期刊>BMC Medical Genomics >Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events
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Peripheral blood gene expression signatures which reflect smoking and aspirin exposure are associated with cardiovascular events

机译：反映吸烟和阿司匹林暴露的外周血基因表达特征与心血管事件有关

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Cardiovascular disease and its sequelae are major causes of global mortality, and better methods are needed to identify patients at risk for future cardiovascular events. Gene expression analysis can inform on the molecular underpinnings of risk factors for cardiovascular events. Smoking and aspirin have known opposing effects on platelet reactivity and MACE, however their effects on each other and on MACE are not well described. We measured peripheral blood gene expression levels of ITGA2B, which is upregulated by aspirin and correlates with platelet reactivity on aspirin, and a 5 gene validated smoking gene expression score (sGES) where higher expression correlates with smoking status, in participants from the previously reported PREDICT trial (NCT 00500617). The primary outcome was a composite of death, myocardial infarction, and stroke/TIA (MACE). We tested whether selected genes were associated with MACE risk using logistic regression. Gene expression levels were determined in 1581 subjects (50.5% female, mean age 60.66 +/?11.46, 18% self-reported smokers); 3.5% of subjects experienced MACE over 12?months follow-up. Elevated sGES and ITGA2B expression were each associated with MACE (odds ratios [OR] =1.16 [95% CI 1.10–1.31] and 1.42 [95% CI 1.00–1.97], respectively; p?
机译：心血管疾病及其后遗症是导致全球性死亡的主要原因，因此需要更好的方法来识别有可能发生未来心血管事件风险的患者。基因表达分析可以告知心血管事件危险因素的分子基础。吸烟和阿司匹林对血小板反应性和MACE有相反的作用，但是对它们彼此之间以及对MACE的作用没有很好的描述。在先前报道的PREDICT参与者中，我们测量了ITGA2B的外周血基因表达水平，该水平被阿司匹林上调并与阿司匹林的血小板反应性相关，并测量了5个基因验证的吸烟基因表达评分（sGES），其中较高的表达与吸烟状况相关试用版（NCT 00500617）。主要结局是死亡，心肌梗塞和中风/ TIA（MACE）的综合结果。我们使用逻辑回归检验了所选基因是否与MACE风险相关。测定了1581名受试者的基因表达水平（女性为50.5％，平均年龄为60.66 + /？11.46，自我报告的吸烟者为18％）; 3.5％的受试者在12个月的随访中经历了MACE。 sGES和ITGA2B表达升高均与MACE相关（比值[OR] = 1.16 [95％CI 1.10–1.31]和1.42 [95％CI 1.00-1.97]; p <0.05）。 ITGA2B的表达与自我报告的吸烟状况和sGES呈负相关（p <0.001）。结合sGES和ITGA2B的逻辑回归模型显示出在对MACE受试者进行分类方面的表现（AIC≥479.1，478.2）更好（AIC≥479.1，478.2）。与吸烟和阿司匹林相关的基因表达水平独立预测心血管事件的风险增加。

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