Targeted metabolomics profiles are strongly correlated with nutritional patterns in women.
Targeted metabolomics profiles are strongly correlated with nutritional patterns in women.
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DOI：
10.1007/s11306-012-0469-6
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发表时间：
2013-04
期刊：
影响因子：
3.6
通讯作者：
Valdes, Ana M.
中科院分区：
文献类型：
--
作者：
Menni, Cristina;Zhai, Guangju;MacGregor, Alexander;Prehn, Cornelia;Roemisch-Margl, Werner;Suhre, Karsten;Adamski, Jerzy;Cassidy, Aedin;Illig, Thomas;Spector, Tim D.;Valdes, Ana M.
营养对人体新陈代谢和健康起着重要作用。代谢组学是临床、遗传和营养研究的一个有前途的工具。一个关键问题是代谢组学特征在多大程度上反映了流行病学环境中的营养模式。我们通过一项大型横断面社区研究评估了女性代谢组学特征与营养摄入之间的关系。对来自 TwinsUK 队列的 1,003 名女性进行了食物频率问卷 (FFQ)，并使用 Biocrates Absolute-IDQ™ Kit p150（163 种代谢物）对血清样本进行了针对性的代谢组学分析。我们分析了七个营养参数：咖啡摄入量、大蒜摄入量和来自总结水果和蔬菜摄入量、酒精摄入量、肉类摄入量、低热量饮食和“传统英式”饮食的 FFQ 的营养评分。我们研究了较大人群中代谢水平和饮食摄入模式之间的相关性，并确定了 14 至 20 对独立同卵双胞胎之间营养摄入不一致的每个性状，并在该组中重复了结果。然后对两项分析的结果进行荟萃分析。对于与营养模式相关的代谢物，我们使用结构方程模型计算了遗传力。在发现样本中，42 种代谢营养素摄入关联具有统计显着性 (Bonferroni P < 4 × 10−5)，11 种代谢营养素摄入关联在验证后仍然显着。我们发现水果和蔬菜摄入与甘油磷脂（磷脂酰胆碱二酰 C38:6，P = 1.39 × 10−9）和鞘脂（鞘磷脂 C26:1，P = 6.95 × 10−13）之间的关联最强。我们还发现咖啡（证实了之前一项独立研究中报告的与 C10 的关联）、大蒜摄入量和低热量饮食之间存在显着关联。使用双胞胎研究设计，我们发现与营养模式相关的代谢物中有三分之二具有显着的遗传贡献，其余三分之一完全由环境决定。我们的数据证实了代谢组学研究对于营养流行病学研究的价值。本文的在线版本 (doi:10.1007/s11306-012-0469-6) 包含补充材料，可供授权用户使用。
Nutrition plays an important role in human metabolism and health. Metabolomics is a promising tool for clinical, genetic and nutritional studies. A key question is to what extent metabolomic profiles reflect nutritional patterns in an epidemiological setting. We assessed the relationship between metabolomic profiles and nutritional intake in women from a large cross-sectional community study. Food frequency questionnaires (FFQs) were applied to 1,003 women from the TwinsUK cohort with targeted metabolomic analyses of serum samples using the Biocrates Absolute-IDQ™ Kit p150 (163 metabolites). We analyzed seven nutritional parameters: coffee intake, garlic intake and nutritional scores derived from the FFQs summarizing fruit and vegetable intake, alcohol intake, meat intake, hypo-caloric dieting and a “traditional English” diet. We studied the correlation between metabolite levels and dietary intake patterns in the larger population and identified for each trait between 14 and 20 independent monozygotic twins pairs discordant for nutritional intake and replicated results in this set. Results from both analyses were then meta-analyzed. For the metabolites associated with nutritional patterns, we calculated heritability using structural equation modelling. 42 metabolite nutrient intake associations were statistically significant in the discovery samples (Bonferroni P < 4 × 10−5) and 11 metabolite nutrient intake associations remained significant after validation. We found the strongest associations for fruit and vegetables intake and a glycerophospholipid (Phosphatidylcholine diacyl C38:6, P = 1.39 × 10−9) and a sphingolipid (Sphingomyeline C26:1, P = 6.95 × 10−13). We also found significant associations for coffee (confirming a previous association with C10 reported in an independent study), garlic intake and hypo-caloric dieting. Using the twin study design we find that two thirds the metabolites associated with nutritional patterns have a significant genetic contribution, and the remaining third are solely environmentally determined. Our data confirm the value of metabolomic studies for nutritional epidemiologic research. The online version of this article (doi:10.1007/s11306-012-0469-6) contains supplementary material, which is available to authorized users.
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影响因子：
30.8
作者：
通讯作者：
--
DOI：
10.1158/1055-9965.epi-11-0048
发表时间：
2011-06
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
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通讯作者：
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影响因子：
5.6
作者：
Adebamowo, CA;Hu, FB;Willett, WC
通讯作者：
Willett, WC
影响因子：
7
作者：
Brennan, Lorraine
通讯作者：
Brennan, Lorraine
影响因子：
4.4
作者：
Llorach, Rafael;Garrido, Ignacio;Andres-Lacueva, Cristina
通讯作者：
Andres-Lacueva, Cristina