CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 16023, Dalian, China.
Institute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, 72076, Tübingen, Germany; Core Facility DZD Clinical Chemistry Laboratory, Department for Molecular Diabetology, Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Zentrum München at the University of Tuebingen, Tuebingen, Germany; German Center for Diabetes Research (DZD), Tuebingen, Germany.
Anal Chim Acta. 2020 Apr 8;1105:120-127. doi: 10.1016/j.aca.2020.01.028. Epub 2020 Jan 16.
Urine-based metabolomics-driven strategies for the discovery of biomarkers are increasingly developed and applied in analytical chemistry. But valid, data-based recommendations for a urine sample material of choice are lacking. We investigated first and second morning urine (MU), which are the most commonly used urine specimens. Potential major factors biasing metabolomics biomarker results in these sample materials were studied. First, 35 1st and 2nd MU samples were collected from healthy, young men after an overnight fast. Subsequently, two subgroups were built, one having fast food at lunch and dinner (n = 17), the other vegetarian meals (n = 18). Again 1st and 2nd MU were collected. Non-targeted liquid chromatography-mass spectrometry was applied for analyses. More than half of the >5400 urinary ion features showed a significant difference between 1st and 2nd MU. Just two fast food meals on previous day significantly affected around 30% of all metabolites in 1st and 2nd MU. In contrast, the effects of two vegetarian meals in 2nd MU were only minor. Additionally, we describe 47 metabolites in urine, possible hits in biomarker studies, which are susceptible to the diet the day before sample collection. They should be handled with caution until validation in diet-controlled studies. Based on our results we think the second MU, ideally collected after standardized vegetarian meals and drinking only water on the previous day, is most suitable for valid analysis of biomarkers in urine.
基于尿液的代谢组学驱动的生物标志物发现策略在分析化学中越来越多地得到发展和应用。但是,缺乏有效的、基于数据的首选尿液样本材料建议。我们研究了最常用的尿液标本之一的晨尿(MU)和第二次晨尿。研究了这些样本材料中可能会影响代谢组学生物标志物结果的主要因素。首先,收集了 35 名健康年轻男性在禁食过夜后的第一次和第二次 MU 样本。随后,构建了两个亚组,一组在午餐和晚餐时吃快餐(n=17),另一组吃素食(n=18)。再次收集第一次和第二次 MU。应用非靶向液相色谱-质谱法进行分析。超过 5400 个尿液离子特征中的一半以上显示第一次和第二次 MU 之间存在显著差异。仅前一天的两餐快餐就显著影响了第一次和第二次 MU 中约 30%的所有代谢物。相比之下,前一天两餐素食对第二次 MU 的影响较小。此外,我们还描述了 47 种尿液中的代谢物,它们可能是生物标志物研究中的候选物,这些代谢物易受前一天采集样本前饮食的影响。在饮食对照研究中验证之前,应谨慎处理这些代谢物。基于我们的结果,我们认为第二次 MU,最好在之前一天的标准素食饮食后采集,并且仅在之前一天喝水,最适合尿液中生物标志物的有效分析。