UBIAE INSERM U902, Université Evry Val d'Essonne, Bat Maupertuis, rue du Père Jarlan, 91025, Evry Cedex, France.
Anal Bioanal Chem. 2012 Aug;404(2):593-602. doi: 10.1007/s00216-012-6165-6. Epub 2012 Jun 16.
Exercise modulates the metabolome in urine or blood as demonstrated previously for humans and animal models. Using nuclear magnetic resonance (NMR) metabolomics, the present study compares the metabolic consequences of an exhaustive exercise at peak velocity (Vp) and at critical velocity (Vc) on mice. Since small-volume samples (blood and urine) were collected, dilution was necessary to acquire NMR spectra. Consequently, specific processing methods were applied before statistical analysis. According to the type of exercise (control group, Vp group and Vc group), 26 male mice were divided into three groups. Mice were sacrificed 2 h after the end of exercise, and urine and blood samples were drawn from each mouse. Proton NMR spectra were acquired with urine and deproteinized blood. The NMR data were aligned with the icoshift method and normalised using the probabilistic quotient method. Finally, data were analysed with the orthogonal projection of latent-structure analysis. The spectra obtained with deproteinized blood can neither discriminate the control mice from exercised mice nor discriminate according to the duration of the exercise. With urine samples, a significant statistical model can be estimated when comparing the control mice to both groups, Vc and Vp. The best model is obtained according to the exercise duration with all mice. Taking into account the spectral regions having the highest correlations, the discriminant metabolites are allantoin, inosine and branched-chain amino acids. In conclusion, metabolomic profiles assessed with NMR are highly dependent on the exercise. These results show that urine samples are more informative than blood samples and that the duration of the exercise is a more important parameter to influence the metabolomic status than the exercise velocity.
运动以前被证明可以调节尿液或血液中的代谢组，无论是在人类还是动物模型中。本研究采用核磁共振（NMR）代谢组学，比较了在峰值速度（Vp）和临界速度（Vc）下剧烈运动对小鼠的代谢影响。由于采集的样本体积较小（血液和尿液），因此需要进行稀释才能获得 NMR 光谱。因此，在进行统计分析之前，需要应用特定的处理方法。根据运动类型（对照组、Vp 组和 Vc 组），将 26 只雄性小鼠分为三组。运动结束后 2 小时处死小鼠，并从每只小鼠中抽取尿液和血液样本。用尿液和去蛋白化的血液采集质子 NMR 光谱。NMR 数据采用 icoshift 方法对齐，并采用概率商方法进行归一化。最后，使用正交投影结构分析进行数据分析。用去蛋白化的血液获得的光谱既不能区分对照组小鼠和运动组小鼠，也不能根据运动时间进行区分。对于尿液样本，当将对照组小鼠与 Vc 和 Vp 两组进行比较时，可以估计出一个具有显著统计学意义的模型。根据所有小鼠的运动时间，可以获得最佳模型。考虑到具有最高相关性的光谱区域，鉴别代谢物是别尿酸、肌苷和支链氨基酸。总之，采用 NMR 评估的代谢组图谱高度依赖于运动。这些结果表明，尿液样本比血液样本更具信息量，运动时间比运动速度更能影响代谢组状态。
