Cai Ming, Wu Chao, Jing Chen, Shen Xunzhang, He Mian, Wang Liyan, Guo Qi, Yan Yan, Yan Xu, Yang Ruoyu
Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China.
College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Front Physiol. 2022 May 5;13:858869. doi: 10.3389/fphys.2022.858869. eCollection 2022.
Metabolites in body fluids, such as lactate, glucose, and creatinine, have been measured by conventional methods to evaluate physical function and performance or athletic status. The objectives of the current study were to explore the novel metabolite biomarkers in professional swimmers with different competition levels using nuclear magnetic resonance (NMR) metabolomics, and try to establish a model to identify the athletic status or predict the competitive potential. Serum samples were collected from 103 elite and 84 sub-elite level Chinese professional swimmers, and were profiled by NMR analysis. Out of the thirty-six serum metabolites profiled, ten were associated with the athletic status of swimmers (with < 0.05). When compared with sub-elite swimmers, elite swimmers had higher levels of high-density lipoprotein (HDL), unsaturated fatty acid, lactic acid, and methanol. Elite swimmers had lower levels of isoleucine, 3-hydroxybutyric acid, acetoacetate, glutamine, glycine, and α-glucose. A model with four metabolites, including HDL, glutamine, methanol, and α-glucose, was established to predict athletic status by adjusting with different covariates. The area under the curve (AUC) of the best model was 0.904 (95% CI: 0.862-0.947), with a sensitivity and specificity of 75.5 and 90.2%, respectively. We have identified ten metabolite biomarkers with differentially expressed levels between elite and sub-elite swimmers, the differences could result from genetic or sports level between the two cohorts. A model with four metabolites has successfully differentiated professional swimmers with different competitive levels.
体液中的代谢物，如乳酸、葡萄糖和肌酐，已通过传统方法进行测量，以评估身体功能、运动表现或运动状态。本研究的目的是使用核磁共振（NMR）代谢组学探索不同竞赛水平的职业游泳运动员中的新型代谢物生物标志物，并尝试建立一个模型来识别运动状态或预测竞争潜力。从103名精英级和84名次精英级中国职业游泳运动员中采集血清样本，并通过NMR分析进行剖析。在剖析的36种血清代谢物中，有10种与游泳运动员的运动状态相关（P<0.05）。与次精英级游泳运动员相比，精英级游泳运动员的高密度脂蛋白（HDL）、不饱和脂肪酸、乳酸和甲醇水平较高。精英级游泳运动员的异亮氨酸、3-羟基丁酸、乙酰乙酸、谷氨酰胺、甘氨酸和α-葡萄糖水平较低。通过调整不同协变量，建立了一个包含HDL、谷氨酰胺、甲醇和α-葡萄糖四种代谢物的模型来预测运动状态。最佳模型的曲线下面积（AUC）为0.904（95%CI：0.862-0.947），敏感性和特异性分别为75.5%和90.2%。我们已经鉴定出10种在精英级和次精英级游泳运动员之间表达水平存在差异的代谢物生物标志物，这些差异可能源于两组之间的遗传或运动水平差异。一个包含四种代谢物的模型成功地区分了不同竞赛水平的职业游泳运动员。
