Le Moyec Laurence, Robert Céline, Triba Mohamed N, Bouchemal Nadia, Mach Núria, Rivière Julie, Zalachas-Rebours Emmanuelle, Barrey Eric
UBIAE EA 7362, Université Evry, Université Paris-Saclay, Évry, France.
Animal Genetics and Integrative Biology (GABI - UMR1313), INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
Front Mol Biosci. 2019 Jun 12;6:45. doi: 10.3389/fmolb.2019.00045. eCollection 2019.
Endurance racing places high demands on energy metabolism pathways. Metabolomics can be used to investigate biochemical responses to endurance exercise in humans, laboratory animals, and horses. Although endurance horses have previously been assessed in the field (i.e., during races) using broad-window Nuclear Magnetic Resonance metabolomics, these studies included several different race locations, race distances, age classes, and race statuses (finisher or elimination). The present NMR metabolomics study focused on 40 endurance horses racing in three race categories over 90, 120, or 160 km. The three races took place in the same location. Given that energy metabolism is closely related to exercise intensity and duration (and therefore distance covered), the study's objective was to determine whether the metabolic pathways recruited during the race varied as a function of the total ride distance. For each horse, a plasma sample was collected the day before the race, and another was collected at the end of the race. Sixteen, 15, and 9 horses raced over 90, 120, and 160 km, respectively. Proton NMR spectra (500 MHz) were acquired for these 80 plasma samples. After processing, the spectra were divided into bins representing the NMR variables and then classified using orthogonal projection on latent structure models supervised by the sampling time (pre- or post-race) or the distance covered. The models revealed that the post-race metabolomic profiles are associated to the total ride distance groups. By combining biochemical assay results and NMR data in multiblock models, we further showed that enzymatic activities and metabolites are significantly associated to the race category. In the highest race category (160 km), there appears to be a metabolic switch from carbohydrate consumption to lipid consumption in order to maintain glycaemia. Furthermore, signs of protein breakdown were more apparent in the longest race category. The metabolic shift seen in the different racing categories could be related to a mixture of three important factors that are the ride distance, the training status and the inherited endurance capacity of the various horses competing.
耐力赛对能量代谢途径有很高的要求。代谢组学可用于研究人类、实验动物和马匹对耐力运动的生化反应。尽管之前曾在野外(即比赛期间)使用宽窗口核磁共振代谢组学对耐力赛马进行过评估,但这些研究包括几个不同的比赛地点、比赛距离、年龄组别和比赛状态(完赛者或被淘汰者)。本核磁共振代谢组学研究聚焦于40匹耐力赛马,它们参加了三个比赛类别,赛程分别为90公里、120公里或160公里。这三场比赛在同一地点举行。鉴于能量代谢与运动强度和持续时间(进而与所跑距离)密切相关,该研究的目的是确定比赛期间所动用的代谢途径是否会因总骑行距离的不同而有所变化。对于每匹马,在比赛前一天采集一份血浆样本,并在比赛结束时再采集一份。分别有16匹、15匹和9匹马参加了90公里、120公里和160公里的比赛。对这80份血浆样本采集了质子核磁共振谱(500兆赫)。处理后,将谱图划分为代表核磁共振变量的区间,然后使用基于采样时间(赛前或赛后)或所跑距离进行监督的潜在结构模型的正交投影进行分类。模型显示,赛后代谢组学谱图与总骑行距离组别相关。通过在多模块模型中结合生化分析结果和核磁共振数据,我们进一步表明酶活性和代谢物与比赛类别显著相关。在最高比赛类别(160公里)中,为了维持血糖水平,似乎存在从碳水化合物消耗到脂质消耗的代谢转换。此外,蛋白质分解的迹象在最长比赛类别中更为明显。在不同比赛类别中观察到的代谢转变可能与三个重要因素的综合作用有关,这三个因素是骑行距离、训练状态以及参赛马匹各自的遗传耐力能力。