Aziz Hamza, Zaas Aimee, Ginsburg Geoffrey S
School of Medicine, Duke University, Durham, USA.
Genomic Med. 2007;1(3-4):105-12. doi: 10.1007/s11568-008-9017-x. Epub 2008 Feb 27.
Whole blood gene expression profiling has the potential to be informative about dynamic changes in disease states and to provide information on underlying disease mechanisms. Having demonstrated proof of concept in animal models, a number of studies have now tried to tackle the complexity of cardiovascular disease in human hosts to develop better diagnostic and prognostic indicators. These studies show that genomic signatures are capable of classifying patients with cardiovascular diseases into finer categories based on the molecular architecture of a patient's disease and more accurately predict the likelihood of a cardiovascular event than current techniques. To highlight the spectrum of potential applications of whole blood gene expression profiling approach in cardiovascular science, we have chosen to review the findings in a number of complex cardiovascular diseases such as atherosclerosis, hypertension and myocardial infarction as well as thromboembolism, aortic aneurysm, and heart transplant.
全血基因表达谱分析有潜力提供有关疾病状态动态变化的信息,并揭示潜在的疾病机制。在动物模型中已证明了概念验证,现在许多研究试图应对人类宿主中心血管疾病的复杂性,以开发更好的诊断和预后指标。这些研究表明,基因组特征能够根据患者疾病的分子结构将心血管疾病患者细分为更精细的类别,并且比现有技术更准确地预测心血管事件的可能性。为了突出全血基因表达谱分析方法在心血管科学中的潜在应用范围,我们选择回顾一些复杂心血管疾病的研究结果,如动脉粥样硬化、高血压和心肌梗死,以及血栓栓塞、主动脉瘤和心脏移植。