Whole blood transcriptomics and urinary metabolomics to define adaptive biochemical pathways of high-intensity exercise in 50-60 year old masters athletes.
Whole blood transcriptomics and urinary metabolomics to define adaptive biochemical pathways of high-intensity exercise in 50-60 year old masters athletes.
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DOI：
10.1371/journal.pone.0092031
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Funk CD
中科院分区：
文献类型：
--
作者：
Mukherjee K;Edgett BA;Burrows HW;Castro C;Griffin JL;Schwertani AG;Gurd BJ;Funk CD
锻炼对各种与年龄有关的疾病都有好处。然而，介导老年人对运动的有益适应的分子机制尚不清楚。当前研究的目的是利用双重方法来表征运动改变的遗传和代谢适应途径，在资深运动员和年龄匹配的未经训练的个体中。研究了两组50-60岁男性自行车运动员（运动员，n = 9; VO2peak 59.1±5.2 ml·kg - 1·min - 1；峰值有氧能力383±39 W）和未训练的最低运动个体（对照组，n = 8; VO2peak 35.9±9.7 ml·kg - 1·min - 1；峰值有氧能力230±57 W）。所有参与者都完成了一次急性次极限耐力运动，并分别利用全基因组DNA微阵列分析和基于核磁共振波谱的代谢组学分析了运动前后的血液和尿液样本的基因表达和代谢变化。我们的研究结果表明，两组在涉及能量代谢、脂质、胰岛素信号和心血管功能的基因和代谢物表达方面存在明显差异。这些发现可能为健康衰老的有益信号通路提供新的见解，并有助于确定监测运动和训练负荷的替代标记。
Exercise is beneficial for a variety of age-related disorders. However, the molecular mechanisms mediating the beneficial adaptations to exercise in older adults are not well understood. The aim of the current study was to utilize a dual approach to characterize the genetic and metabolic adaptive pathways altered by exercise in veteran athletes and age-matched untrained individuals. Two groups of 50–60 year old males: competitive cyclists (athletes, n = 9; VO2peak 59.1±5.2 ml·kg−1·min−1; peak aerobic power 383±39 W) and untrained, minimally active individuals (controls, n = 8; VO2peak 35.9±9.7 ml·kg−1·min−1; peak aerobic power 230±57 W) were examined. All participants completed an acute bout of submaximal endurance exercise, and blood and urine samples pre- and post-exercise were analyzed for gene expression and metabolic changes utilizing genome-wide DNA microarray analysis and NMR spectroscopy-based metabolomics, respectively. Our results indicate distinct differences in gene and metabolite expression involving energy metabolism, lipids, insulin signaling and cardiovascular function between the two groups. These findings may lead to new insights into beneficial signaling pathways of healthy aging and help identify surrogate markers for monitoring exercise and training load.
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