Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada.
J Food Drug Anal. 2019 Apr;27(2):565-574. doi: 10.1016/j.jfda.2018.10.007. Epub 2018 Dec 11.
Biomarker discovery has been increasingly important in the field of metabolomics for the detection and understanding of diseases. Of the many biofluids available for metabolomics, urine is a preferred option as it is non-invasive to collect and contains a wide range of metabolites reflective of the health status of the testing individual. However, urine also contains many exogenous metabolites which are introduced through various sources such as diet. This complicates the data interpretation when searching the metabolome for disease-related endogenous metabolites. Since diet is difficult to control, this work aims to study the acute effects of diet (particularly cow milk) consumption on the human urine amine/phenol submetabolome by utilizing differential chemical isotope labeling (CIL) liquid chromatography mass spectrometry (LC-MS). LC-MS analysis of 62 urine samples collected before and after (1 hour and 2 hours) milk intake resulted in the detection of 4985 metabolites with an average of 3815 ± 206 (n = 62) detected per sample. The work aims to differentiate the exogenous "food" metabolites from the endogenous metabolite pool and to determine any dietary effects from milk intake on the human urine metabolome.
生物标志物的发现在代谢组学领域变得越来越重要，有助于检测和了解疾病。在可用于代谢组学的众多生物流体中，尿液是首选，因为它采集无创，并且包含广泛反映测试个体健康状况的代谢物。然而，尿液中也含有许多外源性代谢物，这些代谢物是通过饮食等多种来源引入的。这使得在代谢组中寻找与疾病相关的内源性代谢物时，数据解释变得复杂。由于饮食难以控制，本工作旨在通过利用差分化学同位素标记（CIL）液相色谱质谱（LC-MS）研究饮食（特别是牛奶）摄入对人体尿液胺/酚亚代谢组的急性影响。对 62 个在摄入牛奶前后（1 小时和 2 小时）收集的尿液样本进行 LC-MS 分析，共检测到 4985 种代谢物，平均每个样本检测到 3815±206 种（n=62）。本工作旨在将外源性“食物”代谢物与内源性代谢物池区分开来，并确定牛奶摄入对人体尿液代谢组的任何饮食影响。
