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耐力运动中的生物标志物:个性化调节和预测值

Sebastian Hacker¹, Johannes Keck², Thomas Reichel¹

¹Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University Giessen, Giessen, Germany.

Translational sports medicine

|April 24, 2024

概括

个人的运动反应各不相同,使生物标志物的使用变得复杂. 这项研究开发了一种算法,以个性化耐力训练管理,使用关键生物标志物,如介素-6和肌酸激酶,用于应激和恢复.

科学领域:

运动生理学和体育科学
生物标志物的分析和解释
体育运动中的个性化医学

背景情况:

运动反应的高个体间变异性阻碍了在体育运动中有效使用基于血液的生物标志物.
开发算法来描述个体生物标志物调节和预测价值对于优化训练和恢复至关重要.

研究的目的:

开发一种新的算法来表征候选血液生物标志物的个体调节和预测值.
评估各种生物标志物的稳定性和预测能力,以应对耐力运动.
为运动员提供个人化压力管理和恢复的见解.

主要方法:

49名参与者接受了两个相同的运动试验,在多个时间点抽取血液样本.
测量了10种生物标志物的血度,包括介质白蛋白 (IL-6,IL-8,IL-10,IL-1RA),肌酸激酶 (CK),皮质醇,CRP,LDH和TBARS.
使用k-means集群和GAQ得分分析个性化调节;通过引导回归树评估预测性质.

主要成果:

在耐力训练对生物标志物反应中观察到显著的个体间差异.
对于IL-6,IL-8,IL-10和CK的稳定个体调节模式.
皮质醇和IL-8基线值显示对依赖变量的预测能力最强;CK预测了力量恢复和疲劳.

结论:

个性化生物标志物分析是管理炼压力和恢复的关键.
联合使用IL-6,IL-8,IL-10和CK为个性化培训管理提供了潜力.
算法开发有助于理解和利用生物标志物可变性来优化运动员.

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