Network model of skeletal muscle cell signalling predicts differential responses to endurance and resistance exercise training

被引:0
|
作者
Fowler, Annabelle [1 ]
Knaus, Katherine R. [1 ]
Khuu, Stephanie [1 ]
Khalilimeybodi, Ali [2 ]
Schenk, Simon [3 ]
Ward, Samuel R. [3 ]
Fry, Andrew C. [5 ]
Rangamani, Padmini [2 ]
McCulloch, Andrew D. [1 ,4 ]
机构
[1] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Mech & Aerosp Engn, La Jolla, CA USA
[3] Univ Calif San Diego, Dept Orthopaed Surg, La Jolla, CA USA
[4] Univ Calif San Diego, Dept Med, La Jolla, CA USA
[5] Univ Kansas, Dept Hlth Sport & Exercise Sci, Lawrence, KS USA
关键词
computational model; endurance exercise; exercise; resistance exercise; signalling network; skeletal muscle; NF-KAPPA-B; PROTEIN-COUPLED RECEPTORS; TIME-COURSE; HIPPO PATHWAY; MECHANICAL OVERLOAD; MAMMALIAN TARGET; GENE-EXPRESSION; KINASE PATHWAY; YAP PATHWAY; ACTIVATION;
D O I
10.1113/EP091712
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Exercise-induced muscle adaptations vary based on exercise modality and intensity. We constructed a signalling network model from 87 published studies of human or rodent skeletal muscle cell responses to endurance or resistance exercise in vivo or simulated exercise in vitro. The network comprises 259 signalling interactions between 120 nodes, representing eight membrane receptors and eight canonical signalling pathways regulating 14 transcriptional regulators, 28 target genes and 12 exercise-induced phenotypes. Using this network, we formulated a logic-based ordinary differential equation model predicting time-dependent molecular and phenotypic alterations following acute endurance and resistance exercises. Compared with nine independent studies, the model accurately predicted 18/21 (85%) acute responses to resistance exercise and 12/16 (75%) acute responses to endurance exercise. Detailed sensitivity analysis of differential phenotypic responses to resistance and endurance training showed that, in the model, exercise regulates cell growth and protein synthesis primarily by signalling via mechanistic target of rapamycin, which is activated by Akt and inhibited in endurance exercise by AMP-activated protein kinase. Endurance exercise preferentially activates inflammation via reactive oxygen species and nuclear factor kappa B signalling. Furthermore, the expected preferential activation of mitochondrial biogenesis by endurance exercise was counterbalanced in the model by protein kinase C in response to resistance training. This model provides a new tool for investigating cross-talk between skeletal muscle signalling pathways activated by endurance and resistance exercise, and the mechanisms of interactions such as the interference effects of endurance training on resistance exercise outcomes. What is the central question of this study? How do the cell signalling pathways regulating skeletal myocyte responses to resistance and endurance exercise interact? What is the main finding and its importance? A new systems model of skeletal muscle signalling pathways activated by resistance and endurance training was developed with eight canonical signalling pathways regulating 14 transcriptional regulators, 28 target genes and 12 exercise-induced phenotypes. The model accurately predicted 85% of independent measurements for resistance exercise and 75% for endurance training. Analysis revealed pathways regulating the preferential activation of protein synthesis and cell growth by resistance training and inflammation by endurance exercise.
引用
收藏
页码:939 / 955
页数:17
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