Stephens J W, Humphries S E
Centre for Cardiovascular Genetics, British Heart Foundation Laboratories, Department of Medicine, University College London, The Rayne Building, 5 University Street, London WC1E 6JJ, UK.
J Intern Med. 2003 Feb;253(2):120-7. doi: 10.1046/j.1365-2796.2003.01104.x.
Coronary heart disease (CHD) is one of the main leading causes of death worldwide. CHD is a complex condition resulting from numerous gene-gene and gene-environment interactions. A large number of candidate genes exist. We review the evidence for the role of apolipoprotein E, lipoprotein lipase and interleukin-6 in CHD and their interaction with smoking (an environmental risk). The main objective of genetic research into CHD is to provide a complete risk assessment, complementing the well-studied traditional clinical and biochemical risk factors. Unravelling the role that functional gene polymorphisms play in determining risk, and in determining the levels of intermediate phenotypes is crucial to our understanding of the key metabolic pathways and physiology not only in the diseased, but also in the disease-free state. The identification of new molecules (implicated in the relevant metabolic pathways) may subsequently lead to potential targets for therapeutic intervention. Improving our molecular understanding may also lead to the development of improved diagnostics. Sequencing of the entire genome is now a reality. Advances in technology, such as the development of "gene chips" may allow us to study 100 000 genes at a time on a single chip. Such advances will amplify the power available to us in the realms of research into genetic physiology and interaction with environmental stimuli. The insights that these novel approaches may yield are eagerly awaited.
冠心病(CHD)是全球主要的致死原因之一。冠心病是一种由众多基因-基因和基因-环境相互作用导致的复杂病症。存在大量的候选基因。我们综述了载脂蛋白E、脂蛋白脂肪酶和白细胞介素-6在冠心病中的作用及其与吸烟(一种环境风险因素)的相互作用的证据。冠心病基因研究的主要目标是提供完整的风险评估,以补充经过充分研究的传统临床和生化风险因素。阐明功能性基因多态性在确定风险以及确定中间表型水平方面所起的作用,对于我们理解不仅在患病状态而且在无病状态下的关键代谢途径和生理学至关重要。鉴定涉及相关代谢途径的新分子可能随后会带来治疗干预的潜在靶点。增进我们的分子理解也可能会推动改进诊断方法的发展。对整个基因组进行测序现在已成为现实。技术进步,例如“基因芯片”的开发,可能使我们能够在单个芯片上一次研究10万个基因。这些进展将增强我们在遗传生理学研究以及与环境刺激相互作用领域的能力。人们热切期待这些新方法可能产生的见解。