Nutrition Research Institute, UNC Chapel Hill, 500 Laureate Way, Kannapolis, NC, 28081, USA.
North Carolina Human Health Exposure Analysis Resource (NC HHEAR) Hub, NC, 28081, USA.
Mol Nutr Food Res. 2022 Nov;66(21):e2100922. doi: 10.1002/mnfr.202100922. Epub 2022 Feb 25.
This study presents a workflow to construct a Dietary Exposome Library (DEL) comprised of phytochemicals and their metabolites derived from host and gut microbiome metabolism for use in peak identification/annotation of untargeted metabolomics datasets.
An evidence mapping initiative established target analytes related to the consumption of phytochemical-rich foods. Analytes were confirmed by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS(n)) analysis of human biospecimens from dietary intervention studies of (poly)phenol-rich diets. One hundred and sixty six verified compounds were subsequently analyzed on an untargeted metabolomics platform to acquire chromatographic and high-resolution mass spectral data for construction of a DEL. The DEL facilitated identification/annotation of 123 metabolites associate with exposure to (poly)phenol enriched diets, which included aromatic ketones, benzoic acids, ellagic acids, caffeoylquinic acids, catecholamines, coumarins, hippuric acid, hydroxytoluenes, phenylamines, stilbenes, urolithins, valerolactones, and xanthonoids, in untargeted metabolomics datasets acquire from human plasma and urine reference materials.
The DEL focusing on (poly)phenols and their metabolites of dietary exposure facilitated identification/annotation of ingested food components and their associated pathways in untargeted metabolomics datasets acquired from human biospecimens. The DEL continues to expand with the aim to provide evidence-based data for dietary metabolites in exposome research and inform the development of dietary intervention strategies.
本研究提出了一种构建膳食暴露组文库(DEL)的工作流程,该文库包含源自宿主和肠道微生物组代谢的植物化学物质及其代谢物,用于鉴定/注释非靶向代谢组学数据集中的峰。
一项证据图谱计划确定了与食用富含植物化学物质的食物相关的目标分析物。通过对富含多酚饮食的膳食干预研究中人类生物样本的超高效液相色谱-质谱(UPLC-MS(n))分析,对分析物进行了验证。随后,对 166 种经证实的化合物进行了非靶向代谢组学平台分析,以获取色谱和高分辨率质谱数据,构建 DEL。该 DEL 有助于鉴定/注释与摄入富含多酚的饮食相关的 123 种代谢物,其中包括芳香酮、苯甲酸、鞣花酸、咖啡酰奎宁酸、儿茶酚胺、香豆素、马尿酸、羟基甲苯、苯甲胺、芪类、尿石素、缬草酸内酯和黄烷酮,这些代谢物是从人类血浆和尿液参考物质中获得的非靶向代谢组学数据集中发现的。
该 DEL 专注于(多)酚及其饮食暴露的代谢物,有助于鉴定/注释非靶向代谢组学数据集中从人类生物样本中获得的摄入食物成分及其相关途径。该 DEL 将继续扩展,旨在为暴露组研究中的膳食代谢物提供基于证据的数据,并为膳食干预策略的制定提供信息。