Blood Metabolomic Profiling Confirms and Identifies Biomarkers of Food Intake.

Blood Metabolomic Profiling Confirms and Identifies Biomarkers of Food Intake.
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血液代谢图谱确认和识别食物摄入量的生物标志物。

DOI:
10.3390/metabo10110468
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发表时间:
2020-11-17
期刊:
影响因子:
4.1
通讯作者:
Nöthlings U
Nöthlings U
中科院分区:
生物学3区
文献类型:
--
作者:
Langenau J;Oluwagbemigun K;Brachem C;Lieb W;Giuseppe RD;Artati A;Kastenmüller G;Weinhold L;Schmid M;Nöthlings U

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代谢组学可以成为识别饮食生物标志物的工具。然而,报道的食物-代谢关联并不一致,需要探索进一步的关联。我们的目的是确认之前报道的食物-代谢物关联,并确定新的食物-代谢物关联。我们对 PopGen 队列中 849 名参与者(57% 为男性)的数据进行了横断面分析。使用 FFQ 获得膳食摄入量,并通过非靶向代谢组学方法分析血清代谢物。我们进行了系统的文献检索,以确定以前报道的食物代谢物关联,并使用线性回归分析这些关联。为了识别潜在的新型食物代谢物关联,将数据集分为训练数据集和测试数据集,并将线性回归模型拟合到训练数据集。在测试数据集中评估了显着的食物代谢物关联。模型针对协变量进行了调整。在文献中,我们确定了 82 种食物-代谢物关联。其中,44 种关联在我们的数据中是可测试的,并证实了咖啡与 12 种代谢物的关联,鱼与 5 种代谢物的关联,巧克力与 2 种代谢物的关联,酒精与 4 种代谢物的关联,以及黄油、家禽和葡萄酒与各 1 种代谢物的关联。我们没有发现新的食物代谢关联;然而,一些关联是针对特定性别的。某些代谢物作为生物标志物的潜在用途应考虑代谢的性别差异。
Metabolomics can be a tool to identify dietary biomarkers. However, reported food-metabolite associations have been inconsistent, and there is a need to explore further associations. Our aims were to confirm previously reported food-metabolite associations and to identify novel food-metabolite associations. We conducted a cross-sectional analysis of data from 849 participants (57% men) of the PopGen cohort. Dietary intake was obtained using FFQ and serum metabolites were profiled by an untargeted metabolomics approach. We conducted a systematic literature search to identify previously reported food-metabolite associations and analyzed these associations using linear regression. To identify potential novel food-metabolite associations, datasets were split into training and test datasets and linear regression models were fitted to the training datasets. Significant food-metabolite associations were evaluated in the test datasets. Models were adjusted for covariates. In the literature, we identified 82 food-metabolite associations. Of these, 44 associations were testable in our data and confirmed associations of coffee with 12 metabolites, of fish with five, of chocolate with two, of alcohol with four, and of butter, poultry and wine with one metabolite each. We did not identify novel food-metabolite associations; however, some associations were sex-specific. Potential use of some metabolites as biomarkers should consider sex differences in metabolism.
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