Zhao Tian, Liu Tianci, Li Tao, Chen Shengcun, Wang Lupeng, Zhang Man
College of Information Engineering, Hangzhou Dianzi University, Hangzhou, China.
Beijing Key Laboratory of Urinary Cellular Molecular Diagnostics, Beijing, China.
Front Physiol. 2024 Dec 9;15:1481741. doi: 10.3389/fphys.2024.1481741. eCollection 2024.
Glucose metabolism is the main way in which cells obtain energy during exercise and plays an important role in exercise. The purpose of this study was to explore the changes in the expression of glucose metabolism-related proteins in urine after running, and finally applied to the monitoring of running training.
Urine samples were collected before and after running, and urine proteomics information was collected to explore the expression of proteins in the urine using LC-MS/MS in DDA mode and DIA mode. Receiver operating characteristic (ROC) curve was drawn to evaluate the value of target proteins in monitoring running training.
A total of 140 proteins were identified using LC-MS/MS in DDA mode, of which 49 urine proteins showed increased expression after running. KEGG analysis revealed that glucose metabolism-related proteins are mainly concentrated in glycolysis. There were six glycolysis-related proteins, among which urine proteins PKM, TPI1, ENO1 and LDHB were significantly increased after running ( < 0.05). This changes in urine proteins PKM, TPI1, ENO1 and LDHB were further verified by the results of LC-MS/MS in DIA mode. The concentrations of the urine proteins TPI1, ENO1 and LDHB showed a significant linear relationship with PKM. ROC curve analysis showed that PKM, TPI1, ENO1 and LDHB proteins in urine had good monitoring values for running training.
The expression of glycolysis-related proteins PKM, TPI1, ENO1 and LDHB in urine was significantly increased after running, which may be applied to the monitoring of running training.
糖代谢是细胞在运动过程中获取能量的主要方式,在运动中起着重要作用。本研究旨在探讨跑步后尿液中糖代谢相关蛋白表达的变化,并最终应用于跑步训练的监测。
收集跑步前后的尿液样本,采集尿液蛋白质组学信息,采用DDA模式和DIA模式的液相色谱-串联质谱法(LC-MS/MS)探索尿液中蛋白质的表达。绘制受试者工作特征(ROC)曲线,评估目标蛋白在监测跑步训练中的价值。
采用DDA模式的LC-MS/MS共鉴定出140种蛋白质,其中49种尿液蛋白在跑步后表达增加。KEGG分析显示,糖代谢相关蛋白主要集中在糖酵解过程。有6种与糖酵解相关的蛋白,其中尿液蛋白PKM、TPI1、ENO1和LDHB在跑步后显著增加(<0.05)。DIA模式的LC-MS/MS结果进一步验证了尿液蛋白PKM、TPI1、ENO1和LDHB的这种变化。尿液蛋白TPI1、ENO1和LDHB的浓度与PKM呈显著线性关系。ROC曲线分析表明,尿液中的PKM、TPI1、ENO1和LDHB蛋白对跑步训练具有良好的监测价值。
跑步后尿液中糖酵解相关蛋白PKM、TPI1、ENO1和LDHB的表达显著增加,可能应用于跑步训练的监测。