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耐力赛中马匹表现的代谢预测指标

Metabolic Predictors of Equine Performance in Endurance Racing.

作者信息

Halama Anna, Oliveira Joao M, Filho Silvio A, Qasim Muhammad, Achkar Iman W, Johnson Sarah, Suhre Karsten, Vinardell Tatiana

机构信息

Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha 24144, Qatar.

Equine Veterinary Medical Center, Qatar Foundation, Doha 5825, Qatar.

出版信息

Metabolites. 2021 Jan 31;11(2):82. doi: 10.3390/metabo11020082.

Abstract

Equine performance in endurance racing depends on the interplay between physiological and metabolic processes. However, there is currently no parameter for estimating the readiness of animals for competition. Our objectives were to provide an in-depth characterization of metabolic consequences of endurance racing and to establish a metabolic performance profile for those animals. We monitored metabolite composition, using a broad non-targeted metabolomics approach, in blood plasma samples from 47 Arabian horses participating in endurance races. The samples were collected before and after the competition and a total of 792 metabolites were measured. We found significant alterations between before and after the race in 417 molecules involved in lipids and amino acid metabolism. Further, even before the race starts, we found metabolic differences between animals who completed the race and those who did not. We identified a set of six metabolite predictors (imidazole propionate, pipecolate, ethylmalonate, 2R-3R-dihydroxybutyrate, β-hydroxy-isovalerate and X-25455) of animal performance in endurance competition; the resulting model had an area under a receiver operating characteristic (AUC) of 0.92 (95% CI: 0.85-0.98). This study provides an in-depth characterization of metabolic alterations driven by endurance races in equines. Furthermore, we showed the feasibility of identifying potential metabolic signatures as predictors of animal performance in endurance competition.

摘要

耐力赛中马匹的表现取决于生理和代谢过程之间的相互作用。然而,目前尚无用于评估动物参赛准备状态的参数。我们的目标是深入描述耐力赛的代谢后果,并为这些动物建立代谢性能概况。我们采用广泛的非靶向代谢组学方法,监测了47匹参加耐力赛的阿拉伯马血浆样本中的代谢物组成。在比赛前后采集样本,共测量了792种代谢物。我们发现,参与脂质和氨基酸代谢的417种分子在比赛前后有显著变化。此外,甚至在比赛开始前,我们就发现完赛动物和未完赛动物之间存在代谢差异。我们确定了一组六种代谢物预测指标(咪唑丙酸、哌可酸、乙基丙二酸、2R-3R-二羟基丁酸、β-羟基异戊酸和X-25455),用于预测耐力赛中动物的表现;所得模型的受试者工作特征曲线下面积(AUC)为0.92(95%CI:0.85-0.98)。本研究深入描述了耐力赛在马匹中引发的代谢变化。此外,我们还展示了识别潜在代谢特征作为耐力赛中动物表现预测指标的可行性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9492/7912089/e9f237d1ec92/metabolites-11-00082-g001.jpg

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