Archacki Stephen, Wang Qing
Center for Molecular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland, OH, USA.
Hum Genomics. 2004 Aug;1(5):355-70. doi: 10.1186/1479-7364-1-5-355.
Cardiovascular disease is the most important cause of morbidity and mortality in developed countries, causing twice as many deaths as cancer in the USA. The major cardiovascular diseases, including coronary artery disease (CAD), myocardial infarction (MI), congestive heart failure (CHF) and common congenital heart disease (CHD), are caused by multiple genetic and environmental factors, as well as the interactions between them. The underlying molecular pathogenic mechanisms for these disorders are still largely unknown, but gene expression may play a central role in the development and progression of cardiovascular disease. Microarrays are high-throughput genomic tools that allow the comparison of global expression changes in thousands of genes between normal and diseased cells/tissues. Microarrays have recently been applied to CAD/MI, CHF and CHD to profile changes in gene expression patterns in diseased and non-diseased patients. This same technology has also been used to characterise endothelial cells, vascular smooth muscle cells and inflammatory cells, with or without various treatments that mimic disease processes involved in CAD/MI. These studies have led to the identification of unique subsets of genes associated with specific diseases and disease processes. Ongoing microarray studies in the field will provide insights into the molecular mechanism of cardiovascular disease and may generate new diagnostic and therapeutic markers.
心血管疾病是发达国家发病和死亡的最重要原因,在美国,其导致的死亡人数是癌症的两倍。主要的心血管疾病,包括冠状动脉疾病(CAD)、心肌梗死(MI)、充血性心力衰竭(CHF)和常见先天性心脏病(CHD),是由多种遗传和环境因素以及它们之间的相互作用引起的。这些疾病潜在的分子致病机制在很大程度上仍然未知,但基因表达可能在心血管疾病的发生和发展中起核心作用。微阵列是高通量基因组工具,可用于比较正常细胞/组织与患病细胞/组织中数千个基因的整体表达变化。微阵列最近已应用于CAD/MI、CHF和CHD,以分析患病和未患病患者的基因表达模式变化。同样的技术也已用于表征内皮细胞、血管平滑肌细胞和炎症细胞,无论是否经过模拟CAD/MI相关疾病过程的各种处理。这些研究已导致鉴定出与特定疾病和疾病过程相关的独特基因子集。该领域正在进行的微阵列研究将深入了解心血管疾病的分子机制,并可能产生新的诊断和治疗标志物。