J Appl Physiol 103: 1536–1542, 2007. First published August 9, 2007; doi:10.1152/japplphysiol.00575.2007. PGC-1 is downregulated by training in human skeletal muscle: no effect of training twice every second day vs. once daily on expression of the PGC-1 family Ole Hartvig Mortensen,1,2 Peter Plomgaard,1,2 Christian P. Fischer,1,2 Anne K. Hansen,1,2 Henriette Pilegaard,2,3 and Bente Klarlund Pedersen1,2 1 Centre of Inflammation and Metabolism at Department of Infectious Diseases and 2Copenhagen Muscle Research Centre, Rigshospitalet, and 3Centre of Inflammation and Metabolism, Institute of Molecular Biology and Physiology, August Krogh Institute, University of Copenhagen, Copenhagen, Denmark Submitted 28 May 2007; accepted in final form 6 August 2007 REGULAR EXERCISE HAS BEEN shown to be successful as a treatment for a variety of disorders and diseases, including Type 2 diabetes (26). The exact molecular pathways responsible for these effects have, however, remained elusive. Our laboratory has previously shown a difference in the outcome of endurance training employing different training protocols on separate legs, because an improved adaptation to training occurred in the leg training twice daily every second day vs. the leg training once daily (12). The peroxisome proliferator-activated receptor-␥ coactivator-1; (PGC-1) family of transcriptional coactivators comprises PGC-1␣, PGC-1, and PGC-1 related coactivator (PRC) (4, 20, 29). They have recently emerged as important players in the regulation of cellular and systemic metabolism, with emphasis on mitochondrial oxidative metabolism and maintenance of glucose, lipid and energy homeostasis (8, 19). Both PGC-1␣ and PRC have previously been shown to be upregulated in skeletal muscle by acute exercise (6, 27, 31, 35), whereas PGC-1 was unaffected by acute exercise (23). PGC-1␣ has furthermore been shown to be upregulated in skeletal muscle by long-term endurance training (11, 16, 30, 32, 34) and downregulated by inactivity (37) or denervation (14), although its upregulation by training is not consistent in all cases (27, 38), which may be due to differences in training protocols and biopsy sample timings. The involvement of the PGC-1 family in regulation of skeletal muscle metabolism and fiber type composition has furthermore been corroborated by overexpression of PGC-1␣ in transgenic mice (21), as well as in cell culture studies (24), where overexpression of PGC-1␣ induced a phenotype shifted toward an oxidative fiber type. Recently, it was shown that overexpression of PGC-1 in skeletal muscle cell culture selectively induced the expression of myosin heavy chain IIA (MHC IIA) mRNA compared with PGC-1␣ overexpression (24), showing that more than just one member of the PGC-1 family is involved in skeletal muscle fiber-type control and thus possibly training adaptation. The possible involvement of all the PGC-1 family members in skeletal muscle fiber-type control is also evidenced by the observations that the PGC-1 family is expressed at different levels in different skeletal muscle fibers in rodents, with PGC-1␣ being more highly expressed in skeletal muscle consisting mainly of type 1 fibers (14, 21) and PGC-1 being expressed more highly in skeletal muscle consisting mainly of type 2 fibers (14). Loss of PGC-1␣ further implicates PGC-1␣ in skeletal muscle adaptation as PGC-1␣ knockout mice exhibit impaired skeletal muscle strength, reduced exercise capacity, and decreased fatigue resistance (18). PGC-1␣ has been implicated in control of pyruvate dehydrogenase kinase 4, suggesting a direct link between levels of PGC-1␣ and glyco- Address for reprint requests and other correspondence: O. H. Mortensen, Centre of Inflammation and Metabolism, Rigshospitalet 7641, Blegdamsvej 9, DK-2100 Copenhagen, Denmark (e-mail: [email protected]). The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. peroxisome proliferator-activated receptor-␥ coactivator-1; peroxisome proliferator-activated receptor-␥ coactivator-1; peroxisome proliferator-activated receptor-␥ coactivator-1-related cofactor; adaptation; glycogen 1536 8750-7587/07 $8.00 Copyright © 2007 the American Physiological Society http://www. jap.org Downloaded from http://jap.physiology.org/ by 10.220.33.4 on June 17, 2017 Mortensen OH, Plomgaard P, Fischer CP, Hansen AK, Pilegaard H, Pedersen BK. PGC-1 is downregulated by training in human skeletal muscle: no effect of training twice every second day vs. once daily on expression of the PGC-1 family. J Appl Physiol 103: 1536–1542, 2007. First published August 9, 2007; doi:10.1152/japplphysiol.00575.2007.—We hypothesized that the peroxisome proliferator-activated receptor-␥ coactivator-1 (PGC-1) family of transcriptional coactivators (PGC-1␣, PGC-1, and PRC) is differentially regulated by training once daily vs. training twice daily every second day and that this difference might be observed in the acute response to endurance exercise. Furthermore, we hypothesized that expression levels of the PGC-1 family differ with muscular fiber-type composition. Thus, before and after 10 wk of knee extensor endurance training, training one leg once daily and the other leg twice daily every second day, keeping the total amount of training for the legs equal, skeletal muscle mRNA expression levels of PGC-1␣, PGC-1, and PRC were determined in young healthy men (n ⫽ 7) in response to 3 h of acute exercise. No significant difference was found between the two legs, suggesting that regulation of the PGC-1 family is independent of training protocol. Training decreased PGC-1 in both legs, whereas PGC-1␣ was increased, but not significantly, in the leg training once daily. PRC did not change with training. Both PGC-1␣ and PRC were increased by acute exercise both before and after endurance training, whereas PGC-1 did not change. The mRNA levels of the PGC-1 family were examined in different types of human skeletal muscle (triceps, soleus, and vastus lateralis; n ⫽ 7). Only the expression level of PGC-1 differed and correlated inversely with percentage of type I fibers. In conclusion, there was no difference between training protocols on the acute exercise and training response of the PGC-1 family. However, training caused a decrease in PGC-1 mRNA levels. EXERCISE AND TRAINING RESPONSE OF THE PGC-1 FAMILY MATERIALS AND METHODS Study 1: training study. Seven healthy untrained young men [age 26 ⫾ 1 yr (mean ⫾ SE), body mass 86 ⫾ 9 kg, and body mass index (BMI) 26.4 ⫾ 1.8 kg/m2] were recruited to the study. All volunteers underwent a medical examination and a standard set of blood tests. Purpose and possible risks of the study were explained to the participants before written consents were obtained. The study protocol was approved by the local Ethical Committee of Copenhagen and Frederiksberg Communities and was performed in accordance with the Declaration of Helsinki. The study was carried out as previously described (12). Briefly, Pmax during dynamic one-legged knee extensor exercise was determined both before (pretraining) and after (posttraining) 10 wk of endurance training for all participants as described below. The participants trained each leg for 1 h five times a week using dynamic oneJ Appl Physiol • VOL or two-legged knee extensor exercise, training each leg after different schedules (12). By randomization, all subjects trained one leg twice daily every second day while the other leg was trained once daily. In total, this yielded 50 days of training once daily for one leg and 25 days of training twice daily every second day for the other leg, thus making the total amount of training per leg equal. The initial workload during the 10 wk of exercise training was 75% of Pmax with a 5–10% increase in workload every 2 wk depending on the progress of each participant. Acute exercise bouts were carried out as described below both before and after 10 wk of training, with the participants being instructed to refrain from exercise 48 h before the test. Exercise performance tests. Pmax was determined during dynamic one-legged knee extensor exercise with the use of a modified ergometer, as described earlier (3). Each leg was tested individually to exclude possible differences between the dominant and nondominant leg. The Pmax test consisted of a short warm-up session with 60 knee extensions/min at 30 W. This was followed up by an incremental increase of the workload by 10 W every 2 min until volitional exhaustion. The highest workload that was maintained for at least 1 min was defined as Pmax. In addition, each Pmax test was followed by a second test using a workload corresponding to 90% of Pmax to determine Texh during submaximal exercise. The last set of performance tests were carried out ⬎48 h after the last training session. Acute exercise experiment. After completion of the tests for determination of Pmax and Texh, the participants performed an acute exercise experiment using the dynamic knee extensor exercise model (3). The acute exercise experiment was performed before as well as after the 10 wk of endurance training. On the experimental days, participants reported to the laboratory at 0800 after an overnight fast. Furthermore, the participants were instructed to refrain from exercise for at least 48 h before the experiment, and, accordingly, the acute exercise experiment was performed ⬎48 h after the last set of performance tests. The exercise bout consisted of 3 h of dynamic two-legged knee extensor exercise at 60 extensions/min, with the workload per leg set to 50% of the individual and actual Pmax. After the exercise bout, the subjects rested in the supine position for a 2-h recovery period. Water was consumed ad libitum, whereas food was not permitted until the end of the recovery period. Muscle biopsies were taken from the vastus lateralis before exercise start, immediately after exercise, and 2 h postexercise. The biopsies used were the same as in a previously published study (12). Study 2: fiber-type study. Seven healthy untrained young men [age 26 ⫾ 1 yr (mean ⫾ SE), body mass 84 ⫾ 3 kg, and BMI 24.7 ⫾ 0.1 kg/m2] were recruited to the study. All volunteers underwent a medical examination and a standard set of blood tests. Purpose and possible risks of the study were explained to the participants before written consents were obtained. The study protocol was approved by the local Ethical Committee of Copenhagen and Frederiksberg Communities and was performed in accordance with the Declaration of Helsinki. The study was carried out as previously described (28). Briefly, the subjects were instructed not to perform any vigorous exercise 24 h before the experiment and to report at the laboratory after an overnight fast. Biopsies were obtained from three different muscle groups: triceps brachii caput medialis (triceps), triceps surae pars soleus (soleus), and quadriceps pars vastus lateralis (vastus) as described below. The biopsies used were the same as in a previously published study (28). Muscle biopsies. Muscle biopsies were obtained using the Bergström percutaneous needle method with suction (7). In study 1, muscle biopsy samples were obtained using the Bergström percutaneous needle method with suction before and after 10 wk of training from the quadriceps pars vastus lateralis muscle of both legs. In study 2, biopsies were obtained from three different muscle groups: triceps, soleus, and vastus by using a Bergström biopsy needle. Before each biopsy, local anesthesia (lidocaine, 20 mg/ml; SAD) was applied to the skin and fascia superficial of the biopsy site. In the training study, a new incision site was made for each biopsy, and all incision sites 103 • NOVEMBER 2007 • www.jap.org Downloaded from http://jap.physiology.org/ by 10.220.33.4 on June 17, 2017 gen (5, 22, 40) and overexpression of PGC-1␣ has been shown to increase the levels of glycogen in skeletal muscle cell culture (24). It has, however, not been examined whether glycogen levels affect the expression of the PGC-1 family, but several reports suggest a link between substrate availability and PGC-1␣ expression, mediated by AMP-activated protein kinase (AMPK), because AMPK activation has been shown to be associated with an increase in PGC-1␣ expression (17, 33). AMPK has, however, been shown to be dispensable for exercise induction of PGC-1␣ (13). All members of the PGC-1 family have been shown to upregulate mitochondrial biogenesis as well as to regulate a large variety of mitochondriaspecific genes (10). Our laboratory has previously reported on a study where subjects performed one-legged or two-legged knee extensor endurance training for 10 wk following a protocol where one leg trained twice daily every second day and the other trained once daily (12); thus training one leg markedly more in a low-glycogen state than the other, with both legs receiving the same total amount of training over the 10-wk study period. This resulted in a marked similar increase in maximal power output (Pmax) in both legs, whereas the leg training twice daily every second day ended up with twice as long a time to exhaustion (Texh) compared with the leg training once daily (12). Furthermore, there was a similar increase in 3-hydroxyacyl-CoA dehydrogenase (HAD) enzyme activity in the two legs, whereas citrate synthase (CS) increased markedly more in the leg training twice daily every second day, suggesting that training twice daily every second day induced a more oxidative skeletal muscle phenotype. The rationale for this study is that the superior increase in oxidative capacity and Texh, seen when training twice daily every second day compared with training once daily, might be explained by differences in factors known to be majorly involved in the control of skeletal muscle oxidative metabolism and training adaptation. Thus we hypothesized that changes in the expression levels of the PGC-1 family of transcriptional coactivators might be the underlying cause of the difference seen between the two differentially trained legs and that the difference in training protocol would differentially regulate the PGC-1 family of transcriptional coactivators. We hypothesized that this effect might be apparent in the acute response to exercise of legs trained either once daily or twice daily every second day. Furthermore, we hypothesized that muscles with different fiber-type compositions differ in their expression levels of these coactivators. 1537 1538 EXERCISE AND TRAINING RESPONSE OF THE PGC-1 FAMILY RESULTS Effect of training on the acute exercise response of the PGC-1 family mRNA levels. The effect of training and training protocol on the acute exercise response of the PGC-1 family was assessed by measuring the mRNA levels before, directly after, or 2 h after 3 h of dynamic knee extensor exercise at the same relative intensity before and after training (Fig. 1). Overall there was no difference between training once daily vs. training twice daily every second day in terms of the response of the PGC-1 family to acute exercise. Nor was there a difference between the resting levels of the PGC-1 family in the two legs. The resting levels of PGC-1␣ mRNA increased by ⬃50% with training but only significantly so when training twice daily every second day. Surprisingly, the resting levels of PGC-1 mRNA significantly decreased by ⬃35% regardless of training protocol. Training had no effect on the resting mRNA levels of PRC. PGC-1␣ mRNA levels increased in response to acute exercise, showing a maximal increase of ⬃10-fold after training and 5-fold before training. The exercise-induced increase in J Appl Physiol • VOL PGC-1␣ was more pronounced 2 h postexercise after training than before training, when training twice daily every second day (P ⫽ 0.043) but not when training once daily (P ⫽ 0.074). Acute exercise had no effect on PGC-1 mRNA levels, whereas PRC mRNA levels increased following acute exercise without effect of training. PGC-1 family mRNA levels in different skeletal muscle types. The expression levels of PGC-1␣, PGC-1, and PRC were also determined in three different skeletal muscle types, triceps, soleus, and vastus, in young healthy men (Fig. 2). Soleus consisted of 68 – 83% (range) type I fibers, vastus lateralis of 40 –56% type I fibers, and triceps of 20 –33% type I fibers (28). Only PGC-1 was differentially expressed in human skeletal muscle, with triceps having approximately twice the mRNA expression level compared with vastus and soleus. Accordingly, we found a highly significant negative correlation between PGC-1 mRNA levels and percentage of type I fibers (P ⫽ 0.0002), whereas there was no correlation between PRC and percent type I fibers (Fig. 2). As previously reported, we did not find any correlation between PGC-1␣ and percent type 1 fibers (28). DISCUSSION The present study demonstrated that the muscular expression of all members of the PGC-1 family is regulated either by acute exercise or by training. The main novel findings of this study were that 1) Training once daily vs. training twice daily every second day makes no difference in terms of the effect caused by endurance training on the mRNA expression of the PGC-1 family of transcriptional coactivators, 2) PGC-1 mRNA in skeletal muscle is downregulated by endurance training, and 3) PGC-1 mRNA is preferentially expressed in triceps and correlates negatively with percentage of type I fibers. Exercise and the PGC-1 family of transcriptional coactivators. The increase of PGC-1␣ in skeletal muscle by acute exercise was in accordance with previous studies in humans (25, 27, 31, 39), rats (6, 9, 14, 36), and mice (1, 2, 13). Other studies have previously found an effect of endurance training on resting PGC-1␣ levels in humans (16, 30, 32) and rats (9, 11, 14, 34). However, a previous study by Pilegaard et al. (27), employing a protocol similar to the training once daily leg in this study, found no significant increase in resting PGC-1␣ mRNA levels following 4 wk of training. The present study suggests that PGC-1␣ mRNA might be more consistently increased by training when training two times a day; however, when comparing training once daily with training twice daily every second day, no significant difference was found. Generally, training adaptation is associated with an increase in muscle glycogen content, and training twice daily every second day induced a significant increase in muscle glycogen content posttraining, whereas the increase in glycogen content was not statistically significant for training once daily (12). Furthermore, overexpression of PGC-1␣ in skeletal muscle cell culture increases glycogen levels in vitro (24). Despite these observations, we saw no overt difference in the PGC-1␣ mRNA levels when training once daily vs. training twice daily every second day, which is reminiscent of the finding that there was no difference between the glycogen levels in both legs at rest following the 10 wk of training. Interestingly, only the leg that showed a statistical significant increase in PGC-1␣ mRNA 103 • NOVEMBER 2007 • www.jap.org Downloaded from http://jap.physiology.org/ by 10.220.33.4 on June 17, 2017 were at minimum 3 cm apart. Visible connective tissue and blood contamination were removed before the biopsies were frozen in liquid nitrogen and subsequently stored at ⫺80°C until further analysis. The biopsies used were the same as in previously published studies (12, 28). Real-time RT-PCR. Total RNA was extracted from the muscle tissue with the use of TRIzol according to the manufacturer’s instructions (Invitrogen, Grand Island, NY). The resulting RNA pellet was dissolved in diethylpyrocarbonate-treated water. Reverse transcription (RT) reactions were performed using random hexamers on 2 g RNA using an RT kit (Applied Biosystems, Foster City, CA) in a reaction volume of 100 l. The resulting cDNA product was stored at ⫺20°C until further analysis. Primers and probes for PGC-1␣ were designed (Primer Express version 1.0, Applied Biosystems) from the gene sequences for human PGC-1␣ as described previously (27); forward primer 5⬘-CAAGCCAAACCAACAACTTTATCTCT-3⬘, reverse primer 5⬘-CACACTTAAGGTGCGTTCAATAGTC-3⬘, and TaqMan fluorescent probe 5⬘-FAM-AGTCACCAAATGACCCCAAGGGTTCC-TAMRA-3⬘. PGC-1, PRC, -actin, and 18S rRNA were amplified using predeveloped assay reagents (Applied Biosystems), Hs00370186_m1 (PGC-1), Hs00209379_m1 (PRC). The mRNA levels of PGC-1␣, PGC-1, and PRC as well as the mRNA levels of the endogenous controls, 18S rRNA and -actin, were determined by real-time RT-PCR using an ABI PRISM 7900 sequence detector (Applied Biosystems). 18S rRNA was used to normalize mRNA expression values in the training study, and -actin was used to normalize mRNA expression values in the fiber-type study. Comparable results were obtained if values in the training study were normalized to GAPDH instead of 18S (data not shown). Statistics. Data were log transformed to obtain normal distribution. Accordingly, results are presented as geometric means ⫾ SE. All statistics were performed on log-transformed values using SAS 9.1.2 (SAS Institute). The training study was analyzed using mixed-model statistics to detect the effect of training protocol after which the study was split up, and, using mixed model statistics, each training protocol was examined individually with regard to training and time, followed by post hoc t-tests with Bonferroni correction to identify differences between groups at specific time points. A one-way ANOVA was used to detect differences between the three muscle groups in the fiber type study, followed by post hoc t-test with Bonferroni correction. Correlation analyses were done using Pearson correlation analysis. A P value ⬍0.05 was considered significant. EXERCISE AND TRAINING RESPONSE OF THE PGC-1 FAMILY 1539 also showed a significant increase in glycogen content following training. In the present study, the PGC-1 mRNA content was downregulated by endurance training, but no changes were observed at the investigated time points following acute exercise. The latter finding is in accordance with a few previous studies showing no effect of acute exercise (14, 23). In a crosssectional study, others have found a higher level of PGC-1 in trained than in untrained or spinal cord-injured humans (15); however, the difference in expression levels might have taken years to develop. Thus it appears that the kinetics of changing PGC-1 expression by exercise in skeletal muscle is long term, which might be reminiscent of training adaptation and that perhaps the level of PGC-1 changes as training adaptation progresses. PRC, the last PGC-1 family member, has previously been shown to be upregulated by acute endurance exercise (31). Here we show yet another pattern of regulation of a PGC-1 family member by exercise, because PRC was only regulated by acute endurance exercise and not by long-term endurance training. This finding suggests that PRC may play a role during J Appl Physiol • VOL exercise or in the recovery phase, but that its expression level does not reflect training adaptation to endurance exercise because no change in PRC mRNA levels was observed comparing pre- and posttraining levels at rest. We previously found that as an effect of training the increase in maximal workload was identical for the two legs; however, time to exhaustion at 90% of actual maximal workload before and after 10 wk of training was much more increased when training twice daily every second day compared with training once a day. This could not be explained by a difference in glycogen content, because the time to exhaustion tests were carried out at a relative high intensity, which did not allow the volunteers to exercise for more than a maximum of 25 min, ensuring that glycogen was not a limiting factor. In light of the findings in this study, it seems that differences in the expression levels of the PGC-1 family members are not a plausible explanation for the difference in Texh seen when training twice daily every second day compared with training once daily (12). Both PGC-1␣ and PGC-1 are known to control expression of CS (24), as well as control mitochondrial -oxidation (19). In an earlier study, our laboratory found both CS and HAD to 103 • NOVEMBER 2007 • www.jap.org Downloaded from http://jap.physiology.org/ by 10.220.33.4 on June 17, 2017 Fig. 1. Peroxisome proliferator-activated receptor-␥ coactivator-1 ␣ (PGC-1␣), peroxisome proliferatoractivated receptor-␥ coactivator-1 (PGC-1), and peroxisome proliferator-activated receptor-␥ coactivator-1-related cofactor (PRC) mRNA levels in muscle biopsies before (pre), immediately after 3 h of endurance exercise (post), and 2 h after 3 h of endurance exercise (2h post) in the leg trained either once daily (left) or in the leg trained twice daily every second day (right) for 10 wk. Data are presented as geometric means ⫾ SE for 7 subjects. Open bars, results from the 3-h acute exercise experiment before endurance exercise training (pretraining); solid bars, results from the 3-h acute exercise experiment after the training period (posttraining). NS, not significant. #P ⬍ 0.05, different from 0 h. †P ⬍ 0.01, different from 0 h. ‡P ⬍ 0.001, different from 0 h. $P ⬍ 0.05, difference between pre- and posttraining. 1540 EXERCISE AND TRAINING RESPONSE OF THE PGC-1 FAMILY Downloaded from http://jap.physiology.org/ by 10.220.33.4 on June 17, 2017 Fig. 2. PGC-1␣, PGC-1, and PRC mRNA levels in skeletal muscle biopsies taken from either triceps brachii caput medialis (triceps), triceps surae pars soleus (soleus), and quadriceps pars vastus lateralis (vastus). Data are presented as geometric means ⫾ SE (left) or as correlations between PGC-1␣, PGC-1, and PRC mRNA levels and type I fiber composition (right) for 7 subjects. Biopsies from the same subjects are connected, and the muscle type is marked as follows: triceps (■), vastus (Œ), and soleus (䊐). Bold line, result of the linear regression. †P ⬍ 0.01 different from triceps. ‡P ⬍ 0.001, different from triceps. increase following training, with the leg training twice daily every second day having a significantly higher CS increase than the leg training once daily (12). The lack of a similar pattern in the expression levels of PGC-1␣ and PGC-1 following the training period again suggests that changes in the expression level of the PGC-1 family are not a plausible explanation for the difference seen between the two training protocols. Unfortunately, in this study, we can not exclude the possibility that training in a low-glycogen state, e.g., the second bout of training of the leg training twice a day every second day, gives rise to a temporarily different expression pattern of the PGC-1 family members (12). However, we found no evidence of this in the resting state or in the acute exercise experiments performed after the 10 wk of training. Skeletal muscle phenotype and PGC-1 family expression. A few studies have shown differential expression of PGC-1␣ mRNA with either skeletal muscle fiber type or skeletal muscle type. In humans, PGC-1␣ protein content is higher in type MHC IIA than in type MHC I and MHC IIX fibers (30). In rodents, huge differences in PGC-1␣ mRNA levels are seen between muscle types with PGC-1␣ mRNA levels being up to J Appl Physiol • VOL five times higher in soleus (primarily type 1 fibers) than in any other muscle types (14, 21). Our laboratory has previously shown that there is no difference in PGC-1␣ mRNA levels in humans between the three skeletal muscle types examined in this study (28), which we also find here. PGC-1 has been demonstrated to have huge differences in mRNA expression levels in different rodent muscle types, with PGC-1 mRNA levels being up to four times higher in extensor digitorum longus (primarily type 2 fibers) than in soleus and gastrocnemius (14). Our finding that PGC-1 mRNA levels are higher in triceps (primarily type 2 fibers) than in both vastus (intermediate with respect to type 1 and 2 fibers) and soleus (primarily type 1 fibers) suggests that similar differences exists in human skeletal muscle. Using 18S as the reference gene, Koves et al. (14) showed a remarkable difference in PGC-1␣ expression levels in different fiber types from the same muscle in rats. Our laboratory has previously shown that 18S is differentially expressed in the different muscle types in humans (28), whereas -actin is more stable and suitable as an endogenous control in the present study. The inconsistency between Koves et al. (14) and our 103 • NOVEMBER 2007 • www.jap.org EXERCISE AND TRAINING RESPONSE OF THE PGC-1 FAMILY studies may not only rely on species difference but may also be related to the chosen reference gene. Conclusion. This is the first complete assessment of the changes in mRNA levels of the PGC-1 family of transcriptional coactivators induced by either acute exercise or endurance training in humans showing a remarkably different regulation of all three family members by endurance exercise or training. Furthermore, we here show for the first time a possible involvement of PGC-1 in the adaptive response of skeletal muscle to endurance training. Finally, we showed that there was no difference between training protocols on the acute exercise and training response of the PGC-1 family and that training caused a decrease in PGC-1 mRNA levels at rest. ACKNOWLEDGMENTS 15. 16. 17. 18. The authors are grateful for the excellent technical assistance of Hanne Villumsen, Ruth Rousing, and Bettina Mentz. GRANTS 19. 20. 21. REFERENCES 1. Akimoto T, Pohnert SC, Li P, Zhang M, Gumbs C, Rosenberg PB, Williams RS, Yan Z. Exercise stimulates PGC-1alpha transcription in skeletal muscle through activation of the p38 MAPK pathway. J Biol Chem 280: 19587–19593, 2005. 2. Akimoto T, Sorg BS, Yan Z. Real-time imaging of peroxisome peroxisome proliferator-activated receptor-␥ coactivator-1␣ promoter activity in skeletal muscles of living mice. Am J Physiol Cell Physiol 287: C790 – C796, 2004. 3. Andersen P, Saltin B. Maximal perfusion of skeletal muscle in man. J Physiol 366: 233–249, 1985. 4. Andersson U, Scarpulla RC. Pgc-1-related coactivator, a novel, seruminducible coactivator of nuclear respiratory factor 1-dependent transcription in mammalian cells. Mol Cell Biol 21: 3738 –3749, 2001. 5. Araki M, Motojima K. Identification of ERRalpha as a specific partner of PGC-1alpha for the activation of PDK4 gene expression in muscle. FEBS J 273: 1669 –1680, 2006. 6. Baar K, Wende AR, Jones TE, Marison M, Nolte LA, Chen M, Kelly DP, Holloszy JO. Adaptations of skeletal muscle to exercise: rapid increase in the transcriptional coactivator PGC-1. FASEB J 16: 1879 – 1886, 2002. 7. Bergstrom J. Percutaneous needle biopsy of skeletal muscle in physiological and clinical research. Scand J Clin Lab Invest 35: 609 – 616, 1975. 8. Finck BN, Kelly DP. PGC-1 coactivators: inducible regulators of energy metabolism in health and disease. J Clin Invest 116: 615– 622, 2006. 9. Garcia-Roves PM, Huss J, Holloszy JO. Role of calcineurin in exerciseinduced mitochondrial biogenesis. Am J Physiol Endocrinol Metab 290: E1172–E1179, 2006. 10. Goffart S, Wiesner RJ. Regulation and co-ordination of nuclear gene expression during mitochondrial biogenesis. Exp Physiol 88: 33– 40, 2003. 11. Goto M, Terada S, Kato M, Katoh M, Yokozeki T, Tabata I, Shimokawa T. cDNA cloning and mRNA analysis of PGC-1 in epitrochlearis muscle in swimming-exercised rats. Biochem Biophys Res Commun 274: 350 –354, 2000. 12. Hansen AK, Fischer CP, Plomgaard P, Andersen JL, Saltin B, Pedersen BK. Skeletal muscle adaptation: training twice every second day vs. training once daily. J Appl Physiol 98: 93–99, 2005. 13. Jorgensen SB, Wojtaszewski JF, Viollet B, Andreelli F, Birk JB, Hellsten Y, Schjerling P, Vaulont S, Neufer PD, Richter EA, Pilegaard H. Effects of alpha-AMPK knockout on exercise-induced gene activation in mouse skeletal muscle. FASEB J 19: 1146 –1148, 2005. 14. Koves TR, Li P, An J, Akimoto T, Slentz D, Ilkayeva O, Dohm GL, Yan Z, Newgard CB, Muoio DM. Peroxisome peroxisome proliferator-activated J Appl Physiol • VOL 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. receptor-gamma co-activator 1alpha-mediated metabolic remodeling of skeletal myocytes mimics exercise training and reverses lipid-induced mitochondrial inefficiency. J Biol Chem 280: 33588 –33598, 2005. Kramer DK, Ahlsen M, Norrbom J, Jansson E, Hjeltnes N, Gustafsson T, Krook A. Human skeletal muscle fibre type variations correlate with PPARalpha, PPARdelta and PGC-1alpha mRNA. Acta Physiol (Oxf) 188: 207–216, 2006. Kuhl JE, Ruderman NB, Musi N, Goodyear LJ, Patti ME, Crunkhorn S, Dronamraju D, Thorell A, Nygren J, Ljungkvist O, Degerblad M, Stahle A, Brismar TB, Andersen KL, Saha AK, Efendic S, Bavenholm PN. Exercise training decreases the concentration of malonyl-CoA and increases the expression and activity of malonyl-CoA decarboxylase in human muscle. Am J Physiol Endocrinol Metab 290: E1296 –E1303, 2006. Lee WJ, Kim M, Park HS, Kim HS, Jeon MJ, Oh KS, Koh EH, Won JC, Kim MS, Oh GT, Yoon M, Lee KU, Park JY. AMPK activation increases fatty acid oxidation in skeletal muscle by activating PPARalpha and PGC-1. Biochem Biophys Res Commun 340: 291–295, 2006. Leone TC, Lehman JJ, Finck BN, Schaeffer PJ, Wende AR, Boudina S, Courtois M, Wozniak DF, Sambandam N, Bernal-Mizrachi C, Chen Z, Holloszy JO, Medeiros DM, Schmidt RE, Saffitz JE, Abel ED, Semenkovich CF, Kelly DP. PGC-1alpha deficiency causes multi-system energy metabolic derangements: muscle dysfunction, abnormal weight control and hepatic steatosis. PLoS Biol 3: e101, 2005. Lin J, Handschin C, Spiegelman BM. Metabolic control through the PGC-1 family of transcription coactivators. Cell Metab 1: 361–370, 2005. Lin J, Puigserver P, Donovan J, Tarr P, Spiegelman BM. Peroxisome peroxisome proliferator-activated receptor gamma coactivator 1beta (PGC-1beta), a novel PGC-1-related transcription coactivator associated with host cell factor. J Biol Chem 277: 1645–1648, 2002. Lin J, Wu H, Tarr PT, Zhang CY, Wu Z, Boss O, Michael LF, Puigserver P, Isotani E, Olson EN, Lowell BB, Bassel-Duby R, Spiegelman BM. Transcriptional co-activator PGC-1 alpha drives the formation of slow-twitch muscle fibres. Nature 418: 797– 801, 2002. Ma K, Zhang Y, Elam MB, Cook GA, Park EA. Cloning of the rat pyruvate dehydrogenase kinase 4 gene promoter: activation of pyruvate dehydrogenase kinase 4 by the peroxisome peroxisome proliferator-activated receptor gamma coactivator. J Biol Chem 280: 29525–29532, 2005. Meirhaeghe A, Crowley V, Lenaghan C, Lelliott C, Green K, Stewart A, Hart K, Schinner S, Sethi JK, Yeo G, Brand MD, Cortright RN, O’Rahilly S, Montague C, Vidal-Puig AJ. Characterization of the human, mouse and rat PGC1 beta (peroxisome-peroxisome proliferatoractivated receptor-gamma co-activator 1 beta) gene in vitro and in vivo. Biochem J 373: 155–165, 2003. Mortensen OH, Frandsen L, Schjerling P, Nishimura E, Grunnet N. PGC-1␣ and PGC-1 have both similar and distinct effects on myofiber switching toward an oxidative phenotype. Am J Physiol Endocrinol Metab 291: E807–E816, 2006. Norrbom J, Sundberg CJ, Ameln H, Kraus WE, Jansson E, Gustafsson T. PGC-1␣ mRNA expression is influenced by metabolic perturbation in exercising human skeletal muscle. J Appl Physiol 96: 189 –194, 2004. Pedersen BK, Saltin B. Evidence for prescribing exercise as therapy in chronic disease. Scand J Med Sci Sports 16, Suppl 1: 3– 63, 2006. Pilegaard H, Saltin B, Neufer PD. Exercise induces transient transcriptional activation of the PGC-1alpha gene in human skeletal muscle. J Physiol 546: 851– 858, 2003. Plomgaard P, Penkowa M, Leick L, Pedersen BK, Saltin B, Pilegaard H. The mRNA expression profile of metabolic genes relative to MHC isoform pattern in human skeletal muscles. J Appl Physiol 101: 817– 825, 2006. Puigserver P, Wu Z, Park CW, Graves R, Wright M, Spiegelman BM. A cold-inducible coactivator of nuclear receptors linked to adaptive thermogenesis. Cell 92: 829 – 839, 1998. Russell AP, Feilchenfeldt J, Schreiber S, Praz M, Crettenand A, Gobelet C, Meier CA, Bell DR, Kralli A, Giacobino JP, Deriaz O. Endurance training in humans leads to fiber type-specific increases in levels of peroxisome peroxisome proliferator-activated receptor-gamma coactivator-1 and peroxisome peroxisome proliferator-activated receptoralpha in skeletal muscle. Diabetes 52: 2874 –2881, 2003. Russell AP, Hesselink MK, Lo SK, Schrauwen P. Regulation of metabolic transcriptional co-activators and transcription factors with acute exercise. FASEB J 19: 986 –988, 2005. Short KR, Vittone JL, Bigelow ML, Proctor DN, Rizza RA, CoenenSchimke JM, Nair KS. Impact of aerobic exercise training on age-related changes in insulin sensitivity and muscle oxidative capacity. Diabetes 52: 1888 –1896, 2003. 103 • NOVEMBER 2007 • www.jap.org Downloaded from http://jap.physiology.org/ by 10.220.33.4 on June 17, 2017 This study was funded by the Centre of Inflammation and Metabolism (supported by Danish National Research Foundation Grant DG 02-512-555); the Copenhagen Muscle Research Centre (supported by grants from The University of Copenhagen, the Faculties of Science and of Health Sciences at this university); the Copenhagen Hospital Corporation, Danish National Research Foundation Grant 504-14; and the Commission of the European Communities (contract no. LSHM-CT-2004-005272 EXGENESIS). 1541 1542 EXERCISE AND TRAINING RESPONSE OF THE PGC-1 FAMILY 33. Suwa M, Nakano H, Kumagai S. Effects of chronic AICAR treatment on fiber composition, enzyme activity, UCP3, and PGC-1 in rat muscles. J Appl Physiol 95: 960 –968, 2003. 34. Taylor EB, Lamb JD, Hurst RW, Chesser DG, Ellingson WJ, Greenwood LJ, Porter BB, Herway ST, Winder WW. Endurance training increases skeletal muscle LKB1 and PGC-1␣ protein abundance: effects of time and intensity. Am J Physiol Endocrinol Metab 289: E960 –E968, 2005. 35. Terada S, Goto M, Kato M, Kawanaka K, Shimokawa T, Tabata I. Effects of low-intensity prolonged exercise on PGC-1 mRNA expression in rat epitrochlearis muscle. Biochem Biophys Res Commun 296: 350–354, 2002. 36. Terada S, Tabata I. Effects of acute bouts of running and swimming exercise on PGC-1␣ protein expression in rat epitrochlearis and soleus muscle. Am J Physiol Endocrinol Metab 286: E208 –E216, 2004. 37. Timmons JA, Norrbom J, Scheele C, Thonberg H, Wahlestedt C, Tesch P. Expression profiling following local muscle inactivity in humans provides new perspective on diabetes-related genes. Genomics 87: 165– 172, 2006. 38. Tunstall RJ, Mehan KA, Wadley GD, Collier GR, Bonen A, Hargreaves M, Cameron-Smith D. Exercise training increases lipid metabolism gene expression in human skeletal muscle. Am J Physiol Endocrinol Metab 283: E66 –E72, 2002. 39. Watt MJ, Southgate RJ, Holmes AG, Febbraio MA. Suppression of plasma free fatty acids upregulates peroxisome peroxisome proliferatoractivated receptor (PPAR) alpha and delta and PPAR coactivator 1alpha in human skeletal muscle, but not lipid regulatory genes. J Mol Endocrinol 33: 533–544, 2004. 40. Wende AR, Huss JM, Schaeffer PJ, Giguere V, Kelly DP. PGC-1alpha coactivates PDK4 gene expression via the orphan nuclear receptor ERRalpha: a mechanism for transcriptional control of muscle glucose metabolism. Mol Cell Biol 25: 10684 –10694, 2005. Downloaded from http://jap.physiology.org/ by 10.220.33.4 on June 17, 2017 J Appl Physiol • VOL 103 • NOVEMBER 2007 • www.jap.org
© Copyright 2026 Paperzz