Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies
Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies
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DOI：
10.3945/ajcn.110.000950
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发表时间：
2011-02-01
影响因子：
7.1
通讯作者：
Brennan, Lorraine
中科院分区：
文献类型：
--
作者：
O'Sullivan, Aifric;Gibney, Michael J.;Brennan, Lorraine
背景：代谢组学被认为可以在饮食评估和确定饮食摄入量的新生物标志物方面发挥作用。目的：本研究考察了习惯饮食模式与代谢组谱之间的联系。设计：共有160名志愿者参加了双盲、随机、安慰剂对照的饮食干预。我们收集了生物体液，并记录了3D食物日记。食物数据减少到33个食物组，并进行k-均值聚类分析以确定饮食模式。(1)获得血浆和尿样的核磁共振氢谱，并用气相色谱分析血浆脂肪酸分布。结果：根据不同食物组的能量贡献，聚类分析确定了3种不同的膳食模式。膳食集群反映在血浆脂肪酸谱和代谢数据中。(1)尿氢核磁共振谱可用于识别与不同饮食模式相关的代谢物。所鉴定的几种代谢物与特定食物组的摄入量有关，特别是O-乙酰肉碱和苯乙酰谷氨酰胺分别与红肉和蔬菜的摄入量呈正相关。结论：代谢组学数据显示了习惯性饮食模式。这种方法成功地确定了红肉和蔬菜摄入量的潜在生物标记物。AM J Clin Nutr 2011；93：314-21。
Background: It has been suggested that metabolomics could play a role in dietary assessment and identification of novel biomarkers of dietary intake.Objective: This study examined the link between habitual dietary patterns and metabolomic profiles.Design: A total of 160 volunteers participated in a double-blind, randomized, placebo-controlled dietary intervention. We collected biofluids and recorded 3-d food diaries. Food data were reduced to 33 food groups, and a k-means cluster analysis was performed to identify dietary patterns. (1)H Nuclear magnetic resonance (NMR) spectra were acquired for plasma and urine samples, and gas chromatography was used for plasma fatty acid profiling.Results: Cluster analysis identified 3 distinct dietary patterns on the basis of the energy contribution of different food groups. Dietary clusters were reflected in plasma fatty acid profiles and in metabolomic data. (1)H NMR spectra of urine allowed the identification of metabolites associated with different dietary patterns. Several of the metabolites identified were linked to the intake of specific food groups; in particular, there was a positive association between O-acetylcarnitine and phenylacetylglutamine and red-meat and vegetable intakes, respectively.Conclusions: Habitual dietary patterns are shown in metabolomic data. This approach successfully identified potential biomarkers of red-meat and vegetable intakes. Am J Clin Nutr 2011;93:314-21.