Using Metabolomics to Identify the Exposure and Functional Biomarkers of Ginger.

Using Metabolomics to Identify the Exposure and Functional Biomarkers of Ginger.
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DOI:
10.1021/acs.jafc.2c05117
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发表时间:
2022-09-28
影响因子:
6.1
通讯作者:
Sang, Shengmin
Sang, Shengmin
中科院分区:
农林科学1区
文献类型:
--
作者:
Esquivel-Alvarado, Daniel;Zhang, Shuwei;Hu, Changling;Zhao, Yantao;Sang, Shengmin

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基于液-质联用(LC-MS)的代谢组学已经成为加深我们对饮食如何影响人类健康的理解的重要工具。然而,公共和商业的饮食代谢物质谱库是有限的,导致将质谱学数据转化为生物学见解的最大挑战。在这项研究中,我们构建了一个LC-MS/MS生姜文库作为例子,以证明膳食文库对于发现食品生物标记物的重要性。用对照和生姜提取物饲料处理的小鼠的血浆样本,研究了生姜的功能和暴露生物标志物。我们的结果表明,正常饲料和生姜提取物饲料对小鼠的代谢组有明显的区别。利用内部生姜文库,我们鉴定了20种可作为生姜暴露生物标志物的生姜代谢物。然而,如果没有生姜LC-MS/MS文库,基于在线质量数据库的生姜代谢物都不能被准确鉴定。此外,生姜处理显著影响内源代谢组分,尤其是嘌呤代谢和苯丙氨酸、酪氨酸和色氨酸的生物合成。总体而言,我们证明了LC-MS/MS光谱膳食文库的构建将增强识别潜在膳食生物标志物的能力,并将与食物消费相关的潜在健康益处联系起来。
Liquid chromatography–mass spectrometry (LC–MS)-based metabolomics has become an important tool to increase our understanding of how diet affects human health. However, public and commercial mass spectral libraries of dietary metabolites are limited, resulting in the greatest challenge in converting mass spectrometry data into biological insights. In this study, we constructed an LC–MS/MS ginger library as an example to demonstrate the importance of dietary libraries for discovering food biomarkers. The functional and exposure biomarkers of ginger were investigated using plasma samples from mice treated with control and ginger extract diets. Our results showed clear discrimination between the metabolome of mice on normal and ginger extract diets. Using the in-house ginger library, we identified 20 ginger metabolites that can be used as exposure biomarkers of ginger. However, without the LC–MS/MS ginger library, none of the ginger metabolites could be accurately identified based on online mass databases. In addition, ginger treatment significantly impacts the endogenous metabolome, especially the purine metabolism and phenylalanine, tyrosine, and tryptophan biosynthesis. Overall, we demonstrated that the construction of LC–MS/MS spectra dietary libraries would enhance the ability to identify potential dietary biomarkers and correlate potential health benefits associated with food consumption.
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