Institute of Anatomy, University of Bern, Bern, Switzerland.
Compr Physiol. 2011 Jul;1(3):1383-412. doi: 10.1002/cphy.c100042.
The skeletal muscle phenotype is subject to considerable malleability depending on use. Low-intensity endurance type exercise leads to qualitative changes of muscle tissue characterized mainly by an increase in structures supporting oxygen delivery and consumption. High-load strength-type exercise leads to growth of muscle fibers dominated by an increase in contractile proteins. In low-intensity exercise, stress-induced signaling leads to transcriptional upregulation of a multitude of genes with Ca(2+) signaling and the energy status of the muscle cells sensed through AMPK being major input determinants. Several parallel signaling pathways converge on the transcriptional co-activator PGC-1α, perceived as being the coordinator of much of the transcriptional and posttranscriptional processes. High-load training is dominated by a translational upregulation controlled by mTOR mainly influenced by an insulin/growth factor-dependent signaling cascade as well as mechanical and nutritional cues. Exercise-induced muscle growth is further supported by DNA recruitment through activation and incorporation of satellite cells. Crucial nodes of strength and endurance exercise signaling networks are shared making these training modes interdependent. Robustness of exercise-related signaling is the consequence of signaling being multiple parallel with feed-back and feed-forward control over single and multiple signaling levels. We currently have a good descriptive understanding of the molecular mechanisms controlling muscle phenotypic plasticity. We lack understanding of the precise interactions among partners of signaling networks and accordingly models to predict signaling outcome of entire networks. A major current challenge is to verify and apply available knowledge gained in model systems to predict human phenotypic plasticity.
骨骼肌表型具有很大的可塑性,取决于使用情况。低强度耐力型运动导致肌肉组织的定性变化,主要表现为支持氧气输送和消耗的结构增加。高负荷力量型运动导致以收缩蛋白增加为主的肌肉纤维生长。在低强度运动中,应激诱导的信号导致大量基因的转录上调,这些基因的信号通过 Ca(2+) 信号和肌肉细胞的能量状态感知,通过 AMPK 作为主要输入决定因素。几个平行的信号通路汇聚到转录共激活因子 PGC-1α 上,被认为是许多转录和转录后过程的协调者。高负荷训练主要由 mTOR 控制的翻译上调主导,主要受胰岛素/生长因子依赖的信号级联以及机械和营养线索的影响。运动引起的肌肉生长进一步得到卫星细胞的激活和整合通过 DNA 募集来支持。力量和耐力运动信号网络的关键节点是共享的,这使得这些训练模式相互依赖。运动相关信号的稳健性是信号具有多重平行性以及对单个和多个信号水平的反馈和前馈控制的结果。我们目前对控制肌肉表型可塑性的分子机制有很好的描述性理解。我们缺乏对信号网络伙伴之间精确相互作用的理解,因此缺乏预测整个网络信号结果的模型。当前的一个主要挑战是验证和应用在模型系统中获得的现有知识,以预测人类的表型可塑性。