Fay Laurent B, German J Bruce
Nestlé Research Centre, PO Box 44, Vers-chez-les-Blanc, CH-1000, Lausanne 26, Switzerland.
Curr Opin Biotechnol. 2008 Apr;19(2):121-8. doi: 10.1016/j.copbio.2008.02.010.
The inescapable conclusion of a just a decade of nutrigenomics research must now be brought to practice. Humans differ in their responses to diet and many of these differences are being assigned to genetic polymorphisms. However, differences in the varying responses to diet between humans are not solely because of genetic variation. Lifestage, lifestyle, prior nutritional and physiological variables and even your mother's microflora all influence the differences between humans. The question becomes: are all of these inputs to an individual's health measurable as part of a nutritional phenotype assessment? The answer to this question is increasingly, yes. As variations in humans can be both measured and even more importantly understood, the implications of those measures to dietary guidance become actionable. More accurate assessment of the inputs to human health and the consequences of those inputs measured as accurate proteomic and metabolomic analyses would bring personalized health to practice far faster than waiting for a predictive knowledge of genetic variation.
仅仅十年的营养基因组学研究得出的必然结论现在必须付诸实践。人类对饮食的反应各不相同，其中许多差异归因于基因多态性。然而，人类对饮食的不同反应差异并不完全是由于基因变异。生命阶段、生活方式、先前的营养和生理变量，甚至你母亲的微生物群都会影响人与人之间的差异。问题就变成了：作为营养表型评估的一部分，所有这些影响个体健康的因素都可以测量吗？这个问题的答案越来越肯定。由于人类的差异既可以测量，更重要的是可以理解，这些测量结果对饮食指导的影响就变得可行了。通过准确的蛋白质组学和代谢组学分析，对影响人类健康的因素及其后果进行更准确的评估，将比等待对基因变异的预测性了解更快地将个性化健康带入实践。
