Low Yen Ling, Tai E Shyong
Genome Institute of Singapore, 60 Biopolis Street, #02-01, Genome, Singapore 138672, Republic of Singapore.
Mutat Res. 2007 Sep 1;622(1-2):7-13. doi: 10.1016/j.mrfmmm.2007.01.015. Epub 2007 May 5.
Socioeconomic development has resulted in an epidemiologic transition which has involved an increase in mortality and morbidity from chronic non-communicable diseases. Cardiovascular disease is one such disease. The rapidity with which this transition has occurred suggests that genetic factors are unlikely to be responsible. However, studies in twins suggest significant heritability for cardiovascular disease and its associated risk factors. We present data showing diet-gene interactions involving polymorphisms at the PPARA and PLIN loci. These data support the hypothesis that chronic diseases such as cardiovascular disease are a consequence of a complex interplay of genetic and environmental factors, of which diet plays an important role. They suggest that the effects of diet on chronic disease may be masked by heterogeneity of effect related to genetic variability between individuals and that consideration of diet-gene interactions may contribute to our understanding of the pathogenesis of cardiovascular disease. The identification of diet-gene interactions offers us an opportunity to develop dietary interventions that will obviate the effects of genetic factors on the risk of disease. In this way, we may be able to develop personalized dietary recommendations that optimize the outcome for the individual concerned. Nevertheless, while existing data points to the value of these studies, significant challenges need to be met to ensure that our conclusions are scientifically valid.
社会经济发展导致了流行病学转变,其中慢性非传染性疾病的死亡率和发病率有所上升。心血管疾病就是其中一种疾病。这种转变发生的速度表明遗传因素不太可能是其原因。然而,对双胞胎的研究表明心血管疾病及其相关风险因素具有显著的遗传力。我们展示的数据表明饮食与基因存在相互作用,涉及过氧化物酶体增殖物激活受体α(PPARA)和脂联素(PLIN)基因座的多态性。这些数据支持这样一种假设,即心血管疾病等慢性疾病是遗传和环境因素复杂相互作用的结果,其中饮食起着重要作用。它们表明饮食对慢性疾病的影响可能会被个体间与基因变异性相关的效应异质性所掩盖,并且考虑饮食与基因的相互作用可能有助于我们理解心血管疾病的发病机制。饮食与基因相互作用的识别为我们提供了一个机会,来开发能够消除遗传因素对疾病风险影响的饮食干预措施。通过这种方式,我们或许能够制定个性化的饮食建议,从而为相关个体优化结果。尽管如此,虽然现有数据表明这些研究具有价值,但要确保我们的结论在科学上有效,仍需应对重大挑战。