Walsh Marianne C, Brennan Lorraine, Pujos-Guillot Estelle, Sébédio Jean-Louis, Scalbert Augustin, Fagan Ailís, Higgins Desmond G, Gibney Michael J
Centre for Food and Health, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Dublin 4, Ireland.
Am J Clin Nutr. 2007 Dec;86(6):1687-93. doi: 10.1093/ajcn/86.5.1687.
Diversity in dietary intake contributes to variation in human metabolomic profiles and artifacts from acute dietary intake can affect metabolomics data.
We investigated the role of dietary phytochemicals on shaping human urinary metabolomic profiles.
First void urine samples were collected from 21 healthy volunteers (12 women, 9 men) following their normal diet (ND), a 2-d low-phytochemical diet (LPD), or a 2-d standard phytochemical diet (SPD). Nutrient intake was assessed during the study. Urine samples were analyzed by using (1)H nuclear magnetic resonance spectroscopy ((1)H NMR) and mass spectrometry (MS), which was followed by multivariate data analysis.
Macronutrient intake did not change throughout the study. Partial least-squares-discriminant analysis indicated a clear distinction between the LPD samples and the ND and SPD samples, relating to creatinine and methylhistidine excretion after the LPD and hippurate excretion after the ND and SPD. The predictive power of the LPD versus the ND model was 74 +/- 3% and 82 +/- 6% with the (1)H NMR and MS data sets, respectively. The predictive power of the LPD versus the SPD model was 83 +/- 8% and 69 +/- 4% for the (1)H NMR and MS data sets respectively. A cross platform comparison of both data sets by co-inertia analysis showed a similar distinction between the LPD and SPD.
Acute changes in urinary metabolomic profiles occur after the consumption of dietary phytochemicals. Dietary restrictions in the 24 h before sample collection may reduce diversity in phytochemical intakes and therefore reduce variation and improve data interpretation in metabolomics studies using urine.
饮食摄入的多样性会导致人类代谢组学特征的差异,而急性饮食摄入产生的假象会影响代谢组学数据。
我们研究了膳食植物化学物质对塑造人类尿液代谢组学特征的作用。
从21名健康志愿者(12名女性,9名男性)中收集晨尿样本,他们分别遵循正常饮食(ND)、为期2天的低植物化学物质饮食(LPD)或为期2天的标准植物化学物质饮食(SPD)。在研究期间评估营养摄入情况。尿液样本采用氢核磁共振波谱(1H NMR)和质谱(MS)进行分析,随后进行多变量数据分析。
在整个研究过程中,常量营养素摄入量没有变化。偏最小二乘判别分析表明,LPD样本与ND和SPD样本之间存在明显差异,这与LPD后的肌酐和甲基组氨酸排泄以及ND和SPD后的马尿酸盐排泄有关。LPD与ND模型的预测能力分别为74±3%(1H NMR数据集)和82±6%(MS数据集)。LPD与SPD模型的预测能力分别为83±8%(1H NMR数据集)和69±4%(MS数据集)。通过共惯性分析对两个数据集进行跨平台比较,结果显示LPD和SPD之间存在类似的差异。
食用膳食植物化学物质后,尿液代谢组学特征会发生急性变化。在样本采集前24小时进行饮食限制可能会减少植物化学物质摄入的多样性,从而减少代谢组学研究中使用尿液时的变异并改善数据解读。