Abstract
Endurance exercise promotes skeletal muscle adaptation, and exercise-induced peroxisome proliferator-activated receptor γ co-activator-1α (Pgc-1α) gene expression may play a pivotal role in the adaptive processes. Recent applications of mouse genetic models and in vivo imaging in exercise studies started to delineate the signaling-transcription pathways that are involved in the regulation of the Pgc-1α gene. These studies revealed the importance of p38 mitogen-activated protein kinase (MAPK)/activating transcription factor 2 (ATF2) and protein kinase D (PKD)/histone deacetylase 5 (HDAC5) signaling transcription axes in exercise-induced Pgc-1α transcription and metabolic adaptation in skeletal muscle. The signaling/transcription network that is responsible for exercise-induced skeletal muscle adaption remains to be fully elucidated.
Keywords: exercise, skeletal muscle, fiber type transformation, angiogenesis, mitochondrial biogenesis, signal transduction, transcription, p38 mitogen-activated protein kinase, peroxisome proliferator-activated receptor γ co-activator-1α
Mammalian skeletal muscles are the source of power for locomotion and other activities essential for survival. Loss of contractile function is the major cause of falling, morbidity and mortality, especially in elderly populations (Roubenoff, 2000; Janssen et al., 2002). More importantly, skeletal muscles participate in metabolism, disruption of which leads to and/or exacerbates many chronic diseases, such as such as coronary heart diseases, obesity and type 2 diabetes (Booth et al., 2002; Saltin & Pilegaard, 2002). Regular exercise has significant positive impacts on most of these diseases with no or little side effects. Improved understanding of the molecular mechanisms of skeletal muscle adaptation will not only provides information to guide correct use of regular exercise, but also facilitate new drug discovery, to combat the diseases.
Endurance exercise induces skeletal adaptation, which includes transformation of type IIb to IIa myofibers (referred to fiber type transformation) (Fitzsimons et al., 1990), and increased mitochondrial (Hoppeler et al., 1973; Wallberg-Henriksson et al., 1982) and capillary densities (referred to mitochondrial biogenesis and angiogenesis, respectively) (Svedenhag et al., 1984), that are the fundamental basis for health benefits of regular exercise. It is believed that an orchestrated signal transduction-transcription coupling from neuromuscular activity to the gene regulatory machinery plays an essential role in the adaptation processes (Booth & Baldwin, 1996; Williams & Neufer, 1996; Sakamoto & Goodyear, 2002). Adding to this complexity is a temporally cumulative induction of gene expression that is required for the ultimate phenotypic change (Williams & Neufer, 1996).
PGC-1α, a versatile transcription co-activator (Puigserver et al., 1998), is involved in important cellular processes, such as adaptive thermogenesis, fatty acid oxidation, gluconeogenesis and mitochondrial biogenesis (Knutti & Kralli, 2001). Numerous findings support the view that PGC-1α mediates and coordinates gene regulation during skeletal muscle adaptation. First, Pgc-1α mRNA and protein are highly expressed in slow, oxidative fibers compared to fast, glycolytic fibers (Lin et al., 2002; Wu et al., 2002), consistent with the function of a gene involved in fiber type specialization. Secondly, there is a tight correlation of muscle contractile activity with increased Pgc-1α gene expression. Endurance exercise induces Pgc-1α mRNA and protein expression in rats and humans (Goto et al., 2000; Baar et al., 2002; Terada et al., 2002; Irrcher et al., 2003; Pilegaard et al., 2003). Finally, Pgc-1α gene overexpression is sufficient to enhance mitochondrial biogenesis and promote fast-to-slow fiber transformation in cultured myoblasts (Wu et al., 1999) and in transgenic mice (Lin et al., 2002), which leads to improved exercise performance (Calvo et al., 2008).
Indeed, a global disruption of the Pgc-1α gene in mice resulted in reduction of oxidative phenotype in skeletal muscle (Arany et al., 2005; Leone et al., 2005; Handschin et al., 2007). Surprisingly, Leick et al. has recently shown in a global gene disruption mouse model that lack of the Pgc-1α gene does not prevent exercise-induced muscle adaptive responses despite of reduced basal level expression of the genes that encode mitochondrial proteins (Leick et al., 2008). They interpreted the findings as if PGC-1α is not mandatory for exercise-induced adaptive gene expression in skeletal muscle. However, results from our laboratory using a skeletal muscle-specific gene targeting mouse model suggest that Pgc-1α gene expression is required for exercise-induced mitochondrial biogenesis and angiogenesis, but not required for fiber type transformation (unpublished results). These findings genetically segregate the metabolic adaptations from contractile adaptation in skeletal muscle. The apparent differences between the two genetic models may suggest the complexity of the issue and justify a more vigorous delineation of the muscle adaptation processes.
Multiple signaling transduction pathways are activated in skeletal muscle during exercise, among which calcium signaling decodes neuromuscular activity to gene transcription for the adaptive processes. Calcineurin, a Ca2+/calmodulin-dependent phosphatase, has been shown to play a functional role in fiber transformation in both gain-of- and loss-of-function animal models (Chin et al., 1998; Naya et al., 2000; Parsons et al., 2003); however, a direct involvement of calcineurin activity in exercise-induced Pgc-1α gene regulation and enhanced mitochondrial biogenesis in skeletal muscle has not been established as pharmacological inhibition of calcineurin failed to inhibit exercise-induced Pgc-1α gene expression and enhanced mitochondrial biogenesis (Garcia-Roves et al., 2006). Some studies have suggested that Ca2+/calmodulin-dependent protein kinase 4 (CaMK4) plays an important role in skeletal muscle adaptation (Wu et al., 2002; Zong et al., 2002) with a possible link to the transcriptional control of the Pgc-1α gene (Handschin et al., 2003), whereas more recent studies have ruled out CaMK4 as the endogenous regulator of the Pgc-1α gene since genetic disruption of the gene did not prevent exercise-induced skeletal muscle adaptation (Akimoto et al., 2004a). It remain to be determined if other Ca2+/calmodulin-dependent protein kinase pathways play a role in the adaptive processes in skeletal muscle.
Endurance exercise training is associated with chronic metabolic stress and energy deprivation. AMP activated protein kinase (AMPK), a metabolic master switch in skeletal muscle, can be activated in the muscles of exercised animals and humans (Winder & Hardie, 1996; Fujii et al., 2000; Wojtaszewski et al., 2000). Pharmacological activation of AMPK increases Pgc-1α gene expression and mitochondrial biogenesis in skeletal muscle (Winder & Hardie, 1996; Zong et al., 2002; Suwa et al., 2006), and forced expression of a dominant-negative form of AMPK in skeletal muscle can block these adaptive processes (Zong et al., 2002). However, genetic disruption of functional AMPK isoforms failed to block exercise-induced Pgc-1α gene expression and enhanced mitochondrial biogenesis in skeletal muscle (Jorgensen et al., 2005; Jorgensen et al., 2006). The molecular link between AMPK activity and Pgc-1α-mediated metabolic adaptation in skeletal muscle remain to be fully investigated.
The mitogen-activated protein kinase (MAPK) signaling molecules have also long been speculated to regulate gene transcription in skeletal muscle in response to various types of contractile activities. All three families of MAPK pathways, extracellular signal-regulated kinase (ERK), c-Jun NH(2)-terminal kinases (JNK) and p38, can be activated by increased contractile activity, and the p38 MAPK pathway appears to play a direct role in Pgc-1α gene regulation (Akimoto et al., 2005; Wright et al., 2007). Interestingly, targeted disruption of the canonical upstream p38 MAPK kinases, MAPK kinase 3 (MKK3) and MKK6 (unpublished results). Therefore, the upstream activator and the p38 isoform(s) that are required for exercise training-induced Pgc-1α gene transcription and enhanced mitochondrial biogenesis remain to be identified.
Finally, to investigate the transcriptional control of the Pgc-1α gene in skeletal muscle in vivo, our laboratory has established a bioluminescence-based optical imaging system to analyze promoter activity in live animals. This unique in vivo imaging system in combination with electric pulse-mediated gene transfer allowed us to measure the Pgc-1α gene activity in skeletal muscle in live mice. We have shown that contractile activity-induced Pgc-1α gene transcription in skeletal muscle depends on both the myocyte enhancer factor 2 (MEF2) binding sites and the cyclic-AMP responsive element (CRE) consensus sequence on the Pgc-1α promoter (Akimoto et al., 2004b). Expanding this unique system by in vivo co-transfection of Pgc-1α-luciferase reporter gene with genes encoding dominant negative forms of potential upstream regulatory factors, we have confirmed the essential role of activating transcription factor 2 (ATF2, binding to the CRE site) and histone deacetylase 5 (HDAC5, repressing MEF2 function), but not HDAC4, to contractile activity-induced Pgc-1α transcription (Akimoto et al., 2008). These findings provide in vivo information about Pgc-1α transcriptional regulation in response to increased contractile activity in skeletal muscle. Future studies should define the causal relationships of the upstream signaling pathways to the Pgc-1α gene that are responsible for neuromuscular activity-mediated skeletal muscle adaptation.
In summary, new finding support that Pgc-1α gene expression plays a pivotal role in metabolic, but not contractile, adaptation in skeletal muscle adaptation. p38 MAPK/ATF2 and kinase D (PKD)/HDAC5/MEF2 signaling transcription axes mediate exercise-induced Pgc-1α transcription and metabolic adaptation in skeletal muscle. The signaling/transcription network responsible for exercise-induced skeletal muscle adaption remains to be fully elucidated.
Acknowledgments
This work was supported by National Institutes of Health Grant AR050429 (to Z.Y.).
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