Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany.
Rapid Commun Mass Spectrom. 2020 Apr 15;34(7):e8646. doi: 10.1002/rcm.8646.
Methylated amino compounds and basic amino acids are important analyte classes with high relevance in nutrition, physical activity and physiology. Reliable and easy quantification methods covering a variety of metabolites in body fluids are a prerequisite for efficient investigations in the field of food and nutrition.
Targeted ultra-performance liquid chromatography/tandem mass spectrometric (UHPLC/MS) analysis was performed using HILIC separation and timed ESI-MRM detection, combined with a short sample preparation. Calibration in urine and blood plasma was achieved by matrix-matched standards, isotope-labelled internal standards and standard addition. The method was fully validated and the performance was evaluated using a subset from the Karlsruhe Metabolomics and Nutrition (KarMeN) study.
Within this method, a total of 30 compounds could be quantified simultaneously in a short run of 9 min in both body fluids. This covers a variety of free amino compounds which are present in very different concentrations. The method is easy, precise and robust, and has a broad working range. As a proof of principle, literature-based associations of certain metabolites with dietary intake of respective foods were clearly confirmed in the KarMeN subset.
Overall, the method turned out to be well suited for application in nutrition studies, as shown for the example of food intake biomarkers in KarMeN. Application to a variety of questions such as food-related effects or physical activity will support future studies in the context of nutrition and health.
甲基化氨基酸化合物和碱性氨基酸是具有重要意义的分析物类别,与营养、体育活动和生理学密切相关。可靠且易于量化的方法涵盖了体液中的多种代谢物,这是食品和营养领域高效研究的前提。
采用亲水作用色谱/串联质谱(UHPLC/MS)分析,采用 HILIC 分离和定时 ESI-MRM 检测,结合短的样品制备。尿和血浆中的校准通过基质匹配标准品、同位素标记内标和标准添加来实现。该方法经过全面验证,并使用 Karlsruhe 代谢组学和营养研究(KarMeN)的一个子集进行了性能评估。
在此方法中,总共可以在 9 分钟的短运行时间内同时在两种体液中定量 30 种化合物。这涵盖了存在于非常不同浓度下的各种游离氨基酸化合物。该方法简单、精确且稳健,具有广泛的工作范围。作为原理的证明,基于文献的某些代谢物与相应食物的饮食摄入量之间的关联在 KarMeN 子集中得到了明确证实。
总的来说,该方法非常适合应用于营养研究,正如 KarMeN 中食物摄入生物标志物的例子所示。应用于各种问题,如与食物相关的影响或体育活动,将支持营养与健康领域的未来研究。