Human and Animal Physiology, Wageningen University, 6700 AH Wageningen, The Netherlands.
Mol Nutr Food Res. 2010 Feb;54(2):240-8. doi: 10.1002/mnfr.200900304.
The establishment of functional effects due to variation in concentrations of micronutrients in our diet is difficult since they are often not immediately recognized as being healthy or unhealthy. Indeed, effects induced by micronutrients are hard to identify and therefore the establishment of the recommended daily intake, the optimal intake and the upper limit pose a challenge. For bioactive food components this is even more complicated. Whole-genome transcriptome analysis is highly suitable to obtain unbiased information on potential affected biological processes on a whole-genome level. Here, we will describe and discuss several aspects of transcriptome analysis in benefit-risk assessment, including effect size, sensitivity and statistical power, that have to be taken into account to faithfully identify functional effects of micronutrients and bioactive food components.
由于饮食中微量营养素浓度的变化而产生的功能效应很难确定，因为它们通常不容易被认为是健康或不健康的。事实上，微量营养素引起的效应很难识别，因此，确定推荐的日摄入量、最佳摄入量和上限是一项挑战。对于生物活性食品成分来说，情况更为复杂。全基因组转录组分析非常适合在全基因组水平上获得关于潜在受影响的生物学过程的无偏信息。在这里，我们将描述和讨论转录组分析在风险-效益评估中的几个方面，包括效应大小、灵敏度和统计功效，这些方面必须考虑在内，以准确识别微量营养素和生物活性食品成分的功能效应。
