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基于代谢组学的方法鉴定苹果摄入的生物标志物。

Metabolomic-Based Approach to Identify Biomarkers of Apple Intake.

机构信息

UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4, Ireland.

UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.

出版信息

Mol Nutr Food Res. 2020 Jun;64(11):e1901158. doi: 10.1002/mnfr.201901158. Epub 2020 Apr 20.

Abstract

SCOPE

There is an increased interest in developing biomarkers of food intake to address some of the limitations associated with self-reported data. The objective is to identify biomarkers of apple intake, examine dose-response relationships, and agreement with self-reported data.

METHODS AND RESULTS

Metabolomic data from three studies are examined: an acute intervention, a short-term intervention, and a free-living cohort study. Fasting and postprandial urine samples are collected for analysis by H-NMR and liquid chromatography-mass spectrometry (LC-MS). Calibration curves are developed to determine apple intake and classify individuals into categories of intake. Multivariate analysis of data reveals that levels of multiple metabolites increase significantly post-apple consumption, compared to the control food-broccoli. In the dose-response study, urinary xylose, epicatechin sulfate, and 2,6-dimethyl-2-(2-hydroxyethyl)-3,4-dihydro-2H-1-benzopyran increase as apple intake increases. Urinary xylose concentrations in a free-living cohort perform poorly at an individual level but are capable of ranking individuals in categories of intake.

CONCLUSION

Urinary xylose exhibits a dose-response relationship with apple intake and performs well as a ranking biomarker in the population study. Other potential biomarkers are identified and future work will combine these with xylose in a biomarker panel which may allow for a more objective determination of individual intake.

摘要

范围

人们越来越感兴趣的是开发食物摄入量的生物标志物,以解决与自我报告数据相关的一些限制。目的是确定苹果摄入量的生物标志物,研究剂量反应关系,并与自我报告的数据进行一致性检验。

方法和结果

研究分析了三项研究的代谢组学数据:一项急性干预研究、一项短期干预研究和一项自由生活队列研究。收集空腹和餐后尿液样本,通过 1 H-NMR 和液相色谱-质谱(LC-MS)进行分析。建立校准曲线以确定苹果摄入量并将个体分类为摄入量类别。数据的多变量分析显示,与对照食物-西兰花相比,苹果消费后,多种代谢物的水平显著升高。在剂量反应研究中,随着苹果摄入量的增加,尿中的木糖、表儿茶素硫酸酯和 2,6-二甲基-2-(2-羟乙基)-3,4-二氢-2H-1-苯并吡喃水平显著增加。自由生活队列中的尿木糖浓度在个体水平上表现不佳,但能够对摄入量进行分类。

结论

尿木糖与苹果摄入量呈剂量反应关系,在人群研究中作为一种分类生物标志物表现良好。其他潜在的生物标志物也已被确定,未来的工作将把这些标志物与木糖结合到一个生物标志物面板中,这可能使个体摄入量的确定更加客观。

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