Samudrala Devasena, Geurts Brigitte, Brown Phil A, Szymańska Ewa, Mandon Julien, Jansen Jeroen, Buydens Lutgarde, Harren Frans J M, Cristescu Simona M
Institute Molecules & Materials, Life Science Trace Gas Facility, Radboud University Nijmegen, 6500 GL Nijmegen, The Netherlands.
Institute Molecules & Materials, Department Analytical Chemistry, Radboud University Nijmegen, 6500 GL Nijmegen, The Netherlands.
Metabolomics. 2015;11(6):1656-1666. doi: 10.1007/s11306-015-0813-8. Epub 2015 May 31.
The present investigation uses proton transfer reaction mass spectrometry (PTR-MS) combined with multivariate and univariate statistical analyses to study potential biomarkers for altered metabolism in urine due to strenuous walking. Urine samples, in concurrence with breath and blood samples, were taken from 51 participants (23 controls, 11 type-1 diabetes, 17 type-2 diabetes) during the Dutch endurance walking event, the . Multivariate analysis allowed for discrimination of before and after exercise for all three groups (control, type-1 and type-2 diabetes) and on three out of 4 days. The analysis highlighted 12 molecular ions contributing to this discrimination. Of these, acetic acid in urine is identified as a significant marker for exercise effects induced by walking; an increase is observed as an effect of walking. Analysis of acetone concentration with univariate tools resulted in different information when compared to breath as a function of exercise, revealing an interesting effect of time over the 4 days. In breath, acetone provides an immediate snapshot of metabolism, whereas urinary acetone will result from longer term diffusion processes, providing a time averaged view of metabolism. The potential to use PTR-MS measurements of urine to monitor exercise effects is exhibited, and may be utilized to monitor subjects in mass participation exercise events.
本研究采用质子转移反应质谱法(PTR-MS)结合多变量和单变量统计分析,以研究剧烈行走导致尿液代谢改变的潜在生物标志物。在荷兰耐力行走活动期间,从51名参与者(23名对照组、11名1型糖尿病患者、17名2型糖尿病患者)采集了尿液样本,同时采集了呼吸和血液样本。多变量分析能够区分所有三组(对照组、1型和2型糖尿病组)在运动前后以及4天中的3天的情况。该分析突出了有助于这种区分的12个分子离子。其中,尿液中的乙酸被确定为行走引起的运动效应的重要标志物;观察到其含量因行走而增加。与作为运动函数的呼吸相比,用单变量工具分析丙酮浓度得到了不同的信息,揭示了4天内时间的有趣影响。在呼吸中,丙酮提供了代谢的即时快照,而尿液中的丙酮则来自长期扩散过程,提供了代谢的时间平均视图。展示了利用尿液的PTR-MS测量来监测运动效应的潜力,并且可用于在大规模参与的运动赛事中监测受试者。