Monitoring diet effects via biofluids and their implications for metabolomics studies

Monitoring diet effects via biofluids and their implications for metabolomics studies
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DOI:
10.1021/ac060946c
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发表时间:
2007-01-01
影响因子:
7.4
通讯作者:
Cooks, R. Graham
Cooks, R. Graham
中科院分区:
化学1区
文献类型:
--
作者:
Gu, Haiwei;Chen, Huanwen;Cooks, R. Graham

文献摘要

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使用核磁共振(NMR)和一种新的环境电离质谱实验,萃取电喷雾电离质谱(EESI-MS)研究了饮食对大鼠尿样中发现的代谢物的影响。三种不同饮食方案的大鼠尿液样品很容易区分使用NMR和MS检测代谢物的多变量统计分析。为了观察饮食对代谢途径的影响,还使用多变量统计分析研究了与特定途径相关的代谢物。通过对限制复合集进行观察,可以增加辨别力。在24小时间隔的饮食变化导致可预测的光谱数据的变化。根据大鼠不同的饮食方案,使用全NMR、EESI-MS数据或质谱中仅对应于尿素循环和氨基代谢途径中发现的代谢物的限制峰组,使用主成分分析将大鼠分组。相比之下,评分图的多变量方差分析表明,嘌呤代谢的代谢物模糊了相对于完整代谢物集的分类。这些结果表明,通过监测特定途径的生化变异性,可以减少使用的统计变量的数量。通过这种方法,还可以减少生物流体样品中饮食的影响,以用于疾病检测等目的。
The effect of diet on metabolites found in rat urine samples has been investigated using nuclear magnetic resonance (NMR) and a new ambient ionization mass spectrometry experiment, extractive electrospray ionization mass spectrometry (EESI-MS). Urine samples from rats with three different dietary regimens were readily distinguished using multivariate statistical analysis on metabolites detected by NMR and MS. To observe the effect of diet on metabolic pathways, metabolites related to specific pathways were also investigated using multivariate statistical analysis. Discrimination is increased by making observations on restricted compound sets. Changes in diet at 24-h intervals led to predictable changes in the spectral data. Principal component analysis was used to separate the rats into groups according to their different dietary regimens using the full NMR, EESI-MS data or restricted sets of peaks in the mass spectra corresponding only to metabolites found in the urea cycle and metabolism of amino groups pathway. By contrast, multivariate analysis of variance from the score plots showed that metabolites of purine metabolism obscure the classification relative to the full metabolite set. These results suggest that it may be possible to reduce the number of statistical variables used by monitoring the biochemical variability of particular pathways. It should also be possible by this procedure to reduce the effect of diet in the biofluid samples for such purposes as disease detection.