Vaara Jani P, Kyröläinen Heikki, Vasankari Tommi, Kainulainen Heikki, Raitanen Jani, Kujala Urho M
Department of Leadership and Military Pedagogy, National Defence University, 00861 Helsinki, Finland.
Faculty of Sport and Health Science, University of Jyväskylä, 40014 Jyväskylän, Finland.
Metabolites. 2022 Jul 27;12(8):700. doi: 10.3390/metabo12080700.
Physical activity (PA) has been shown to associate with many health benefits but studies with metabolome-wide associations with PA are still lacking. Metabolome studies may deepen the mechanistic understanding of PA on the metabolic pathways related to health outcomes. The aim of the present study was to study the association of accelerometer based sedentary time (SB) and PA with metabolome measures. SB and PA were measured by a hip-worn accelerometer in 314 young adult men (age: mean 28, standard deviation 7 years). Metabolome was analyzed from fasting serum samples consisting of 66 metabolome measures (nuclear magnetic resonance-based metabolomics). The associations were analyzed using a single and compositional approach with regression analysis. The compositional analysis revealed that 4 metabolome variables were significantly (γ: 0.32−0.44, p ≤ 0.002), and 13 variables with a trend towards significance (p < 0.05), associated with SB with varying metabolic pathways. Trends towards significant associations (p < 0.05) were observed with 5 variables with moderate-to-vigorous and 1 variable with light intensity PA with varying metabolic pathways. The present study revealed possible mechanistic pathways relevant for the interaction between especially SB but also PA of moderate-to-vigorous intensity with ketone bodies and amino acid concentration related to exercised-induced energy production and lipid metabolism.
体育活动(PA)已被证明与许多健康益处相关,但仍缺乏关于代谢组与PA的全基因组关联研究。代谢组研究可能会加深对PA在与健康结果相关的代谢途径上的机制理解。本研究的目的是研究基于加速度计的久坐时间(SB)和PA与代谢组测量值之间的关联。通过佩戴在臀部的加速度计对314名年轻成年男性(年龄:平均28岁,标准差7岁)的SB和PA进行测量。从空腹血清样本中分析代谢组,该样本包含66种代谢组测量值(基于核磁共振的代谢组学)。使用单一和成分分析方法结合回归分析来分析这些关联。成分分析显示,4种代谢组变量与SB显著相关(γ:0.32 - 0.44,p≤0.002),13种变量有显著相关趋势(p < 0.05),它们与不同的代谢途径相关。在中等至剧烈强度的5种变量和轻度强度PA的1种变量与不同代谢途径中观察到显著关联趋势(p < 0.05)。本研究揭示了与酮体和氨基酸浓度相关的机制途径,这些途径尤其与SB以及中等至剧烈强度的PA与运动诱导的能量产生和脂质代谢之间的相互作用有关。