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Quantitative Dietary Fingerprinting (QDF) -A Novel Tool for Comprehensive Dietary Assessment Based on Urinary Nutrimetabolomics

机译:定量膳食指纹识别(QDF)-A基于尿留言的综合饮食评估新工具

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摘要

Accurate dietary assessment is a challenge in nutritional research, needing powerful and robust tools for reliable measurement of food intake biomarkers. In this work, we have developed a novel quantitative dietary fingerprinting (QDF) approach, which enables for the first time the simultaneous quantitation of about 350 urinary food-derived metabolites, including (poly)phenolic aglycones, phase II metabolites, and microbial-transformed compounds, as well as other compounds (e.g., glucosinolates, amino acid derivatives, methylxanthines, alkaloids, and markers of alcohol and tobacco consumption). This method was fully validated for 220 metabolites, yielding good linearity, high sensitivity and precision, accurate recovery rates, and negligible matrix effects. Furthermore, 127 additional phase II metabolites were also included in this method after identification in urines collected from acute dietary interventions with various foods. Thus, this metabolomic approach represents one-step further toward precision nutrition and the objective of improving the accurateness and comprehensiveness in the assessment of dietary patterns and lifestyles.
机译:准确的饮食评估是营养研究中的挑战,需要强大而强大的工具,以便可靠地测量食物摄入生物标志物。在这项工作中,我们开发了一种新的定量膳食指纹识别(QDF)方法,其首次使得同时定量约350尿液源代谢物,包括(多)酚醛糖,II代代谢物和微生物转化化合物,以及其他化合物(例如,氨基葡萄糖苷,氨基酸衍生物,甲基黄嘌呤,生物碱和醇和烟草消耗标记)。该方法已完全验证220代谢物,产生良好的线性度,高灵敏度和精度,准确的恢复率,以及可忽略的矩阵效应。此外,在通过各种食物中鉴定尿液中的尿液后,还包括127个另外的第二阶段代谢物。因此,这种代谢物方法进一步朝着精密营养和提高评估膳食模式和生活方式的准确性和全面性的目的。

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