Journal of Applied Physiology Add DOIs to your references at manuscript stage!
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Appl Physiol 103: 1513-1522, 2007. First published August 9, 2007; doi:10.1152/japplphysiol.01445.2006
8750-7587/07 $8.00
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow All Versions of this Article:
103/5/1513    most recent
01445.2006v1
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via ISI Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nedergaard, A.
Right arrow Articles by Schjerling, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nedergaard, A.
Right arrow Articles by Schjerling, P.

Expression patterns of atrogenic and ubiquitin proteasome component genes with exercise: effect of different loading patterns and repeated exercise bouts

A. Nedergaard,1,3 K. Vissing,2 K. Overgaard,2 M. Kjaer,1 and P. Schjerling3,4

1Institute of Sports Medicine, Bispebjerg Hospital, Copenhagen; 2Department of Sport Science, University of Aarhus, Aarhus; 3Department of Molecular Muscle Biology, Copenhagen Muscle Research Centre, Rigshospitalet, Copenhagen; and 4Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark

Submitted 21 December 2006 ; accepted in final form 3 August 2007


    ABSTRACT
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
Unaccustomed exercise is known to produce strength loss, soreness, and myocellular disruption. With repeated application of exercise stimuli, the appearance of these indexes of muscle damage is attenuated, the so-called "repeated bout effect." No direct connection has been established between this repeated bout effect and exercise-induced increases in protein turnover, but it appears that a degree of tolerance is developed toward exercise for both. The present study sought to investigate markers of protein degradation by determining the expression of components related to the ubiquitin-proteasome system (UPS) with repeated exercise bouts. Healthy men carried out 30 min of bench stepping, performing eccentric work with one and concentric work with the other leg (n = 14), performing a duplicate exercise bout 8 wk later. A nonexercising control group was included (n = 6). RNA was extracted from muscle biopsies representing time points preexercise, +3 h, +24 h, and +7 days, and selected mRNA species were quantified using Northern blotting. The exercise model proved sufficient to produce a repeated bout effect in terms of strength and soreness. For forkhead box O transcription factor 1 (FOXO1) and muscle RING finger protein-1 (MURF1), strong upregulations were seen exclusively with concentric loading (P < 0.001), while atrogin-1 displayed a strong downregulation exclusively in response to eccentric exercise (P < 0.001). For MURF1 transcription, the first bout produced a downregulation that persisted until the second bout (P < 0.01). In conclusion, the UPS is modulated differentially in response to varying loading modalities and with different time frames in a way that to some extent reflects changes in protein metabolism known to take place with exercise.

eccentric; atrogin-1; protein degradation; muscle RING finger-protein-1; forkhead box O transcription factor


UNACCUSTOMED WORK, especially if of an eccentric nature, is characterized by inducing soreness, reduction in maximal strength, and structural damage to both intramuscular connective tissue and to skeletal muscle cell ultrastructure (9, 44). Interestingly, repeated exposure of a muscle to a similar exercise bout weeks later will result in an attenuated response with regard to muscle damage parameters (34, 40), as well as protein degradation (25, 41). Various explanations for this attenuation or acquired loading tolerance have been proposed, including increased number of serially connected sarcomeres, longer sarcomeres, increased amounts of perimysial connective tissue, and increased expression of intermediate filaments [for review, see McHugh et al. (34, 35)]. While no direct link has been made between the decreases in protein turnover and attenuated appearance of muscle damage markers, they do seem to be related at some level.

Net protein turnover is a sum of anabolic and catabolic activity, and muscular activity is known to increase myofibrillar protein turnover, increasing both protein synthesis and degradation (4, 42). Whereas the activation of protein synthesis by exercise has been intensely studied in several species (37, 43), the isolated effect of exercise on protein degradation is less well characterized in humans. It is known that the rate of protein breakdown increases concomitant with that of protein synthesis in response to exercise, suggesting a molecular link between synthesis and degradation (42). However, the detailed regulation of protein degradation pathways in human skeletal muscle in relation to exercise is poorly characterized.

It is known that different loading regimens of skeletal muscle results in different outcomes with regard to adaptation and that concentric and eccentric contractions seem to complement each other in terms of muscle hypertrophy (19). Even though eccentric training produces greater soreness following exercise and in some discrete settings seems to contribute more to hypertrophy and protein turnover than concentric (15, 27), it does not seem to produce overall greater changes in protein synthesis (10, 38, 42). It is, however, not known if or how protein degradation pathways are influenced differently by the mode of muscular contraction.

Three major intracellular proteolytic systems exist: the lysosomal, the calcium-dependent, and the ubiquitin-proteasome system (UPS). It is known that calcium-dependent systems and the UPS degrade the major fraction of intracellular proteins and thus contractile proteins of skeletal muscle (17, 48). Calcium- and UPS-mediated proteolysis are thought to cooperate to some degree in the degradation of some sarcomeric proteins. Calcium-dependent processing of the sarcomeres releases myofilaments, which are then degraded by the UPS, a theory commonly referred to as the "calpain hypothesis" (2, 13, 47). The UPS degrades proteins in a tightly regulated manner, not only by regulating the amount of contractile protein, but also by affecting transcription and metabolism through coordinated degradation of transcription factors and discrete signaling roles (16). It works by attaching ubiquitin, a 76-amino acid protein, serially to lysyl residues of target proteins, which marks them for destruction in the proteasome. The process of ubiquitination involves ubiquitin being bound to a ubiquitin activating enzyme (E1 protein), transferred to a ubiquitin carrier protein (E2 protein), and ultimately a ubiquitin ligase (E3 protein) catalyzes the transfer of ubiquitin to lysine residues of target proteins, the step thought to be rate limiting in ubiquitination as a whole. At present, several hundred E3 proteins are known, this high number being necessary to generate a wide enough specificity range to cope with the multitudes of protein species needing degradation. Several of these E3 proteins display tissue-specific expression. Ubiquitin residues are then added serially to the first in a regulated manner, and when four residues have been attached, the substrate protein is terminally marked for degradation in the proteasome.

Exercise has been reported to acutely increase expression of ubiquitin and proteasome subunit-{alpha} 1 gene (PSMA1) itself (55), while the response to repeated bouts of exercise is somewhat less well defined, with one study reporting upregulation of ubiquitination (51) and another reporting downregulation in terms of ubiquitin protein (55). With regard to other UPS-related components, three novel ubiquitin ligases collectively referred to as atrogenes, muscle RING finger protein 1 (MURF1), atrogin-1 (also known as MAFbx) and E3{alpha}, and the forkhead box O (FOXO) transcription factors are believed to be linked to development of muscle atrophy phenomenologically (5, 28, 29) and causatively (5, 24, 26). In almost all atrophy models, MURF1 and atrogin-1 are upregulated secondary to an activation and nuclear translocation of FOXO transcription factors in the nucleus, a finding compounded by several in vitro studies indicating a regulatory role of FOXOs on expression of the ubiquitin ligases mentioned above (45, 50). While only MURF1 of the MURF family has confirmed ubiquitin ligase activity and thus constitutes an E3 protein, all the MURF proteins are highly homologous and associate with part of myocellular ultrastructure (6, 32, 33, 49). This could link MURFs to a mechanosensory function, a notion that is highly relevant with respect to the acquired exercise tolerance, as this phenomenon is known to be intensity dependent. Atrogin-1 has been shown to degrade MyoD (52), a transcription factor necessary for proper muscle development, fetal as well as postnatally (36, 54), and the domain recognized by atrogin-1 is a known transcription factor signal, thus possibly placing atrogin-1 in the role of orchestration of rather than degradation of bulk protein (52). Very little is known regarding changes in regulation and expression of these ubiquitin ligases in response to mechanical loading of skeletal muscle, with different loading modalities, as well as in the response to repeated bouts of exercise.

The aim of the present study was to examine 1) if concentric and eccentric exercise contributes in a differentiated manner to the regulated expression of markers of skeletal muscle protein degradation and 2) if application of a repeated bout of eccentric exercise is associated with changes in expression of said markers.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
Subjects.   Twenty healthy male subjects (mean ± SD; age 23.8 ± 2.8 yr; weight 77.8 ± 7.0 kg; height 182 ± 8 cm) were included in the study, and seven were assigned to step (S), seven to step + weight (SW), and six to a control (C) group. Subjects had not been engaged in regular resistance training of the lower body 6 mo before inclusion in the study. The study was approved by the Danish Ethical Committee of Aarhus (J. No. 20040159) and conformed to the standards set by the Declaration of Helsinki. All subjects provided written informed consent to participate in the study.

Exercise protocol and physiological testing.   Subjects in the S and SW groups performed two bouts of stepping exercise separated by 8 wk as previously described (39), thereby performing eccentric work with one leg and concentric work with the other. Subjects performed concentric and eccentric work with the same legs in both bouts. The SW group performed the work wearing a weight vest weighing 10 kg. In both legs, soreness was evaluated and strength was measured immediately before and 3 h, 24 h, and 2, 3, 5, and 7 days after each bout (strength was also measured 7 days before each bout). Soreness was quantified on a visual analog scale. The subjects scored the soreness during rising from and sitting in a chair in the part of the thigh corresponding to the quadriceps muscle (1). Isometric strength was measured at 90° knee flexion using a strain-gauge transducer. Before the first test, subjects were familiarized to the strength testing protocol. Subjects in the control group were tested as described above, but they performed no exercise and testing was not repeated after 8 wk.

Sample collection, RNA purification and gel electrophoresis.   Regular conchotome biopsies were obtained from vastus lateralis of the quadriceps muscle as described previously (12). Biopsy samples were obtained 1 wk before each bout, 3 h after, 24 h after, and 7 days postexercise. Following the first bout, biopsies were obtained from both legs, while after the second bout biopsies were only cut from the eccentrically exercised leg. Biopsies from the control group were obtained from the right leg. Following biopsy sampling, ~50 mg biopsy tissue was cut off the specimen and immediately frozen in liquid nitrogen. The remaining part was embedded in TissueTek with fascicles arranged longitudinally and frozen in liquid nitrogen-cooled isopentane and used for further analysis. Seventy-five to one-hundred 10-µm sections were cut from biopsies on a cryostat. From these sections, RNA was extracted using the guanidinium thiocyanate-phenol-chloroform extraction method previously described by Chomzynski and Sacchi (7). RNA concentrations were quantified spectrophotometrically, and samples were diluted appropriately in RNase-free water and formaldehyde gel loading buffer (Ambion) and subjected to electrophoresis on an agarose gel [1% NuSieve GTG agarose (Cambrex), 1.5 % formaldehyde, and 1x MOPS buffer (Eppendorf)] at 7 V/cm for 65 min. Two-hundred nanograms RNA was loaded per lane. Following electrophoresis, the gel was stained in SYBR green II RNA gel stain (Cambrex) diluted 10,000-fold for 30 min and scanned on a Molecular Imager FX scanner (Bio-Rad). The relative intensity between large and small ribosomal bands was used to assess the RNA quality. The RNA content of the gel was transferred to a Positive nylon membrane (Appligene) using osmocapillary blotting with 25 mM NaOH.

Probe cloning and synthesis.   Probe templates were amplified from human muscle cDNA using the Accuprime Taq PCR (Invitrogen) and primers from MWG Biotech (Table 1) and purified using the Wizard SV Gel and PCR clean-up system kit (Promega). PCR products were inserted into the pBlueScript SKII(+) phagemid SmaI site and transformed into DH5{alpha} E. coli cells. Following cloning, DNA was purified using the High Pure Plasmid purification kit (Boehringer/Roche), and insert identity was confirmed by restriction mapping. M13 primers were used to generate double-stranded probe templates with a biotinylated sense strand. While the sense strand was retained on streptavidin-covered beads, the antisense strand was stripped and a new 32P-tagged antisense strand was synthesized on the sense strand using [{alpha}-32P]dATP as previously described by Jonsdottir et al. (22). Following denaturation, the antisense strand was retrieved, and its activity was measured.


View this table:
[in this window]
[in a new window]

 
Table 1. Primer sequence and identity

 
The radioactive 28S rRNA probe was generated by end-tagging a 28S complementary oligo (Table 1) using a T4 polynucleotide kinase and [{gamma}-32P]ATP followed by heat inactivating. The tagged oligo was recovered by precipitating the probe on a glycogen carrier, using ammonium acetate, and washing with ethanol followed by air drying. The pellet was resuspended in Tris-EDTA (TE) buffer and diluted with unmarked oligo.

Northern blotting, hybridization, washing, and stripping.   Membranes were preincubated at 50°C for 1 h with 5 ml hybridization buffer (UltraHyb, Ambion) followed by addition of 5–10 million counts of tagged probe. Hybridization was conducted overnight at 50°C with rotation. After incubation, the membranes were washed twice at low-stringency conditions [2x saline-sodium phosphate-EDTA (SSPE) (Invitrogen), 0.1 % SDS, room temperature] for 5 min and twice at high-stringency conditions (0.1x SSPE, 0.1 % SDS, 60°C) for 15 min. The washed membranes were exposed on Phosphor screens. Following exposure, membranes were scanned at a resolution at 50 µm using a FX Phosphorimager and photodensitometrically quantified using QuantityOne (Bio-Rad) software. Signals were normalized to backgrounds using a representative segment of the membranes (global background). Where several mRNAs binding the probe were present, all were quantified individually (except for MURF3 where 3 distinct bands were present of which 2 were inseparable) and numbered according to decreasing size. Membranes were stripped according to the EZQ stripping protocol and reprobed four to six times with probes in increasing order of band intensity.

Hybridization with 28S probe was performed with 2 pmol probe, essentially using the same protocol, but preincubation and incubation were conducted at 42°C and washing at room temperature. A representative blot for all hybridizations are shown in Fig. 1.


Figure 1
View larger version (90K):
[in this window]
[in a new window]

 
Fig. 1. Representative Northern blots for all time points for a single subject. UBB, ubiquitin B polygene (HUGO nomenclature); UBC, ubiquitin C polygene (HUGO nomenclature); PSMA1, proteasome subunit {alpha}-1 gene; FOXO, forkhead box O transcription factor family; MURF1, MURF2, MURF3, muscle RING finger proteins-1, -2, and -3, respectively; PRE, sampling time point 7 days before an exercise bout for mRNA data; 3H and 24H, sampling time point 3 and 24 h postexercise; 7D, sampling time point 7 days postexercise; CONC, concentric exercise condition; ECC1 and ECC2, eccentric exercise during the first and second bout, respectively.

 
Statistical analysis.   Strength data obtained were normalized to an average of two obtained PRE values (PRE denotes the sampling time point 7 days before an exercise bout for mRNA data and immediately before first test for strength and soreness data). Data for soreness and strength were then subjected to repeated-measures two-way ANOVA for weight/no weight vs. all combinations of times and bouts, to test if the addition of a weight vest affected any of the combinations of time and bout. As it did not, data for subjects with and without a weight vest were pooled and subjected to two-way ANOVA for bout vs. time followed by Student's post hoc analysis. Only differences to PRE within bouts or ECC1 (the eccentric loaded leg, following the first bout) within times are shown. Data for strength and soreness are presented as means ± SE. All combinations of time and bout are designated "time"/bout. "3H/ECC2 thus pertains to data obtained 3 h postexercise in the eccentric loaded leg following the second exercise bout."

All RNA data were normalized to 28S rRNA, followed by two separate statistical procedures. First, for the 28S-normalized data, values within each bout were normalized to their respective PRE values (obtained 1 wk before each exercise bout), log-transformed, and subjected to a procedure like that described earlier, first testing for an effect of the weight vest and then testing for an effect of bout, time, or both. Second, to quantify changes in baseline expression between the first and second bout, 28S-normalized data were log-transformed and normalized to PRE/ECC1, followed by a paired t-test analysis of a null-hypothesis on PRE/ECC2. All statistics were done using SigmaStat (Systat) and Microsoft Excel.

Data for controls were subjected to one-way ANOVA for time to test if time affects the signal in any sample. If an effect for time was seen, Student's post hoc analysis was performed.


    RESULTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
Physiological parameters: strength and soreness.   For strength (Fig. 2), all three treatments produced a decrease in expression of 5–15% lasting up to 2 days. This decrease was more pronounced with ECC1 than with concentric exercise (CONC) or ECC2, thus documenting a repeated bout effect for strength.


Figure 2
View larger version (38K):
[in this window]
[in a new window]

 
Fig. 2. Strength and soreness in repeated bouts of exercise. Knee extensor maximum voluntary contraction (MVC) strength relative to a measurement obtained before the 1st bout of exercise, and soreness visual analog scale (VAS) scored in predefined locations of the thigh. Strength is defined in % of PRE measurement (PRE is sampling time point immediately before first test for strength and soreness data), while soreness is defined in arbitrary units according to the VAS scale. Open bars, concentric loading; light gray bars, eccentric loading in ECC1; dark gray bars, eccentric loading in ECC2. Data are means ± SD. Different from both PRE values according to the highest of the two P values: (*)P < 0.1, *P < 0.05, **P < 0.01; ***P < 0.001. Different from ECC1: $P < 0.05, $$P < 0.01, $$$P < 0.001.

 
All three treatments produced soreness (Fig. 2), reaching up to ~45 mm on a VAS scale, peaking 2 days after the exercise bout. This response lasted up to 4 days. The first eccentric bout (ECC1) produced more soreness than CONC or ECC2, also documenting a repeated bout effect for soreness.

mRNA targets: structural UPS components.   For ubiquitin C polygene (UBC), two transcripts were detected, the second band representing a transcript corresponding in size to the other ubiquitin polygene, Ubiquitin B (UBB), in the human genome (as verified by hybridization with a UBB probe in our laboratory). As considerable sequence homology to this mRNA could not be avoided in design of the UBC probe, we consider it likely that this second splice form represents UBB. Both displayed a similar response pattern (Fig. 3), albeit with a stronger response for splice form I, the splice form displaying the highest absolute expression. Exercise produced a tendency toward upregulation of ubiquitin mRNA expression, peaking at ~50% for splice form I and ~30% for splice form II (UBB) 3 and 24 h postexercise and a downregulation of ~20% 7 days postexercise. The response to the first eccentric bout was stronger than that to the concentric bout and tended to be stronger than that observed for the second eccentric bout. Baseline expression (PRE/ECC2, relative to PRE/ECC1) decreased ~15% in the second bout (see Fig. 6). Also, for the first splice form an upregulation could be seen in controls at 24 h postexercise (P < 0.01).


Figure 3
View larger version (26K):
[in this window]
[in a new window]

 
Fig. 3. Structural ubiquitin-proteasome system (UPS) components. Ubiquitin and PSMA1 mRNA expression, across bouts and times. Two probe-specific bands were detected for UBC, one at ~2.3 kb and one at ~1.0 kb. The biggest band most likely corresponds to that earlier described as UBC, while the smaller band may represent an alternate splice form. The PSMA1 probe detected only one band at ~1.4 kb. Data are normalized to 28S rRNA and PRE values within each bout. Open bars, concentric loading; light gray bars, eccentric loading in ECC1; dark gray bars, eccentric loading in ECC2; hatched bars, controls. Data are geometric means ± back-transformed SE. Different from PRE: (*)P < 0.1, *P < 0.05, **P < 0.01; ***P < 0.001. Different from ECC1: ($)P < 0.1, $P < 0.05, $$$P < 0.001.

 

Figure 4
View larger version (46K):
[in this window]
[in a new window]

 
Fig. 4. Atrogin and forkhead transcription factor expression. FOXO1, E3{alpha}, and MURF1 are detected as transcripts of ~5.2, ~6.5, and ~1.8 kb, respectively. Atrogin-1 displays 4 different splice forms corresponding to sizes of ~6.4, ~5.2, ~3.9, and ~1.5 kb. Data are normalized to 28S rRNA and PRE values within each bout. Open bars, concentric loading; light gray bars, eccentric loading in ECC1; dark gray bars, eccentric loading in ECC2; hatched bars, controls. Data are geometric means ± back-transformed SE. Different from PRE: (*)P < 0.1, *P < 0.05, **P < 0.01; ***P < 0.001. Different from ECC1: ($)P < 0.1, $P < 0.05, $$P < 0.01, $$$P < 0.001.

 

Figure 5
View larger version (22K):
[in this window]
[in a new window]

 
Fig. 5. MURF2 and MURF3 expression. MURF2 and MURF3 mRNA expression across bout and times. For MURF2, two transcripts of ~3.2 and ~3.4 kb were detected, and for MURF3, three separate transcripts of ~7.3, ~1.7, and ~1.2 kb were detected, but the two smallest were inseparable and were thus quantified as one. Data are normalized to 28S rRNA and PRE values within each bout. Open bars, concentric loading; light gray bars, eccentric loading in ECC1; dark gray bars, eccentric loading in ECC2; hatched bars, controls. Data are geometric means ± back-transformed SE. Different from PRE: *P < 0.05, **P < 0.01; ***P < 0.001. Different from ECC1: ($)P < 0.1, $P < 0.05, $$P < 0.01, $$$P < 0.001.

 

Figure 6
View larger version (23K):
[in this window]
[in a new window]

 
Fig. 6. Baseline expression of targets before the second bout. Expression of all targets before the second bout, i.e., PRE/ECC2, normalized to 28S rRNA and expression before the first bout, PRE/ECC1. Different from ECC1: (*)P < 0.1, *P < 0.05, **P < 0.01.

 
For PSMA1, eccentric exercise only produced an upregulation of up to ~40% lasting the first days after exercise (Fig. 3).

mRNA targets: putative atrogenes.   For the FOXO1 transcript, an upregulation of ~70% was seen 3 h postexercise only with concentric exercise (Fig. 4).

FOXO3 mRNA displayed a weak downregulation, not reaching significance.

For the E3{alpha} transcript, a downregulation across the 3-h time point, with no difference within individual treatments, was the only observed finding (Fig. 4). A downregulation could be seen in controls 7 days postexercise. Baseline expression also appeared to be downregulated in the second bout (see Fig. 6).

For MURF1, concentric exercise produced a very short-lived upregulation of ~150% (Fig. 4). The first eccentric exercise bout produced a nonsignificant expression decrease of ~30% that persisted all through 7 days postexercise. Baseline expression also decreased almost 50% between the first and second bout of eccentric exercise (see Fig. 6).

Our atrogin-1 probe detected four transcripts of sizes ~1.5 to ~6.4 kb. Several splice forms have previously been observed (30). Qualitatively, the observed responses were similar for all four splice forms. Eccentric exercise produced a consistent downregulation of up to ~65%, lasting up to a week after the exercise. Concentric exercise produced little if any change. For two splice forms, a significant upregulation could be observed 24 h postexercise in controls.

mRNA targets: MURF1-related proteins.   Four different transcript variants have been reported in GenBank for MURF2 (Fig. 5). The probe utilized in the present study only detects the transcript variants NM_033058 [GenBank] and NM_184085 [GenBank] . Two transcripts were detected in our Northern blots, displaying similar responses. Eccentric exercise produced a consistent upregulation of up to ~200% in both splice forms, an effect lasting at least 24 h, whereas concentric exercise produced no changes.

According to our probe design analysis, the probe designed for MURF3 shows specificity for both the reported splice forms (accession nos. NM_032546 and NM_187841), but in our Northern blots three bands appeared. Differentiated responses were displayed between splice form I and the combined splice forms II + III, which were quantified together, because of inability to separate the bands (Fig. 5). For all splice forms, eccentric exercise only produced an upregulation of up to ~90%, peaking 3 h postexercise for splice form I and at 24 h postexercise for splice form II.

Normalization control.   For GAPDH, concentric exercise produced a weak increase of ~20% that peaked 3 hours post-exercise and declined afterward (Fig. 6 and 7). Eccentric exercise produced a decrease of up to ~30%, peaking 7 days postexercise. Furthermore, baseline expression was decreased in the second bout (see Fig. 6).


Figure 7
View larger version (21K):
[in this window]
[in a new window]

 
Fig. 7. GAPDH expression in repeated bouts. Expression of the ~1.4 kb GAPDH transcript across bouts and times. Data are normalized to 28S rRNA and PRE values within each bout. Open bars, concentric loading; light gray bars, eccentric loading in ECC1; dark gray bars, eccentric loading in ECC2; hatched bars, controls. Data are geometric means ± back-transformed SE. Different from PRE: *P < 0.05, ***P < 0.001. Different from ECC1: ($)P < 0.1, $P < 0.05, $$$P < 0.001.

 

    DISCUSSION
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
Effects of concentric vs. eccentric exercise.   In the present study, we demonstrated a dramatic difference between the transcriptional response to concentric and eccentric exercise, a finding paralleled by a greater strength loss and greater soreness with eccentric exercise. On the structural components of the UPS, PSMA1 and UBC/UBB, as well as MURF2 and MURF3, eccentric but not concentric loading induced upregulation. These changes possibly represent an adaptational response to potentially increase the degradative capacity of the UPS. In contrast, for the regulatory FOXO1 and MURF1, concentric loading only caused an upregulation, while for atrogin-1 a downregulation was caused by eccentric exercise. One might speculate that the expression of structural components of the UPS like ubiquitin itself and subunits of the proteasome are more sensitive to the disruption and remodeling induced by eccentric loading, while FOXO1 is more responsive to the metabolic effects of exercise. This concept arises from the fact that concentric exercise is more energy demanding than eccentric exercise at the same absolute workload (27) and the observation that endurance exercise is able to produce an upregulation of FOXO1 (23).

Repeated bout effect on atrogenic and UPS component gene expression.   The exercise protocol utilized in the study produced significant strength loss and soreness, and those parameters were attenuated in the second bout at several time points, thus documenting a repeated bout effect (Fig. 2). Furthermore, a recent study using a similar protocol validated the adequacy of loaded stepping exercise to produce changes in protein turnover (10), thereby supporting that molecular changes associated with muscle disruption and changes in protein turnover also increase with our intervention.

The acute transcriptional response of MURF1 to eccentric exercise differed between the first and the second bout of exercise, thus representing a very long-lasting change in response potential (Fig. 4). A tendency toward this (P < 0.1) could be seen for FOXO1, MURF2, and MURF3.

This is further supported by the fact that the difference in mRNA expression of MURF2, MURF3, PSMA1, and UBC between bouts correlated with the integrated difference between bouts for strength and soreness (R2 up to 0.84, correlations not shown).

Of particular interest, we found that prelevel expression of MURF1 had decreased by ~50% before the second bout, rendering possible a downreguation of MURF1 expression as long lasting as 7 wk. Does this chronic downregulation of MURF1 then represent a depression of proteolysis 7 wk later? Probably not, as other studies show that nitrogen balance is only affected for 48–72 h postexercise with protocols of concentric or eccentric exercise or combinations thereof (37, 42). The observed downregulation may, however, represent a decrease in degradative capacity that matches a decrease in protein turnover with the accustomization to exercise (25, 41).

For MURF1, eccentric exercise seems to induce a persistent downregulation while concentric exercise induces an acute upregulation. With exercise encompassing both eccentric and concentric loading, it is hard to tell which part of the stimulus dictates the response the strongest. Most studies seem to indicate a dominant downregulation by exercise per se (14, 21, 58). Considering that MURF1 is known to ubiquitinate sarcomeric proteins in myocardium (56) and thus possibly to partake also in skeletal muscle protein degradation, this indicates that MURF1 is involved in maintenance of the repeated bout effect.

Regulation of FOXO1, FOXO3, MURF1, and atrogin-1.   For FOXO1 and MURF1, a similar degree of acute upregulation in response to concentric loading exclusively was observed. As previously mentioned, this may point at these genes being regulated by metabolic stress rather than myofibrillar disruption. This is supported by previous studies showing upregulation of FOXO1 in response to energy depletion caused by exercise (23) or dietary manipulation (20). While the observed FOXO1 and MURF1 expression changes may be related to the onset of muscle damage, they do not seem to be vital components of the muscle damage inflammation process per se as this process is considerably more long-lived than 24 h.

In previous studies, FOXO transcription factors have been associated with regulation of atrogin-1 and MURF1 (45, 50). The present findings support that FOXO1 is coregulated with MURF1 or possibly involved in the regulation of it. FOXO3 has been thought to be related to regulation of atrogin-1, but in this setup no common behavior could be observed.

Most studies have shown that states of accelerated nitrogen loss are associated with upregulation of MURF1 and atrogin-1 expression (5, 18). In the present data, we can observe an acute downregulation of atrogin-1, a finding somewhat supported by previous studies (8, 58), but not all (29). Also, considering that exercise has been shown to blunt the atrogin-1 upregulation and muscle loss associated with various wasting stimuli, like immobilization (21) or hindlimb suspension (14), one might speculate that atrogin-1 is a marker of atrophy rather than a marker of increased proteolysis per se. This is supported by the fact that atrogin-1 displays specificity for a motif present in myoD and possibly other myogenic transcription factors (52), a transcription factor positively associated with hypertrophy (36, 54).

Sampling and normalization.   Previous studies have shown several genes to be induced by invasive procedures like muscle biopsy sampling, thereby in itself affecting gene expression in subsequent samples (31, 53). To take this sampling effect into account, we included a nonexercising control group. For several targets, we observed what could likely be a sampling effect, i.e., regulation in control subjects of UBC, atrogin-1, and E3{alpha} (Figs. 3 and 4). For UBC, the observed upregulation in the control group coincides with an upregulation observed in exercising subjects. Thus it is likely that the observed change in UBC expression in the exercise group is influenced by muscle traumatization due to biopsy sampling. Furthermore, the upregulation observed for two splice forms of atrogin-1 may suggest that the downregulation observed in exercising subjects is in fact blunted by an upregulation caused by sampling.

Adding to complexity, it has been previously documented that most housekeeping genes used for normalization are in fact not constantly expressed (11). This potentially has severe consequences for the interpretation of changes in gene expression as changes in normalization gene can translate into reciprocal changes in normalized gene expression. To test this, we also measured another unrelated "normalization" RNA, GAPDH, for comparison to identify potential problems with our chosen normalization RNA, 28 rRNA. GAPDH mRNA was quantified and normalized to 28S rRNA. By such means of normalization, we observed that GAPDH exhibited little but yet significant fluctuation in response to our exercise intervention, especially at the 7-day postexercise time point (Fig. 7), indicating that either 28S rRNA or GAPDH mRNA or both changed with the intervention, although both are normally considered constantly expressed (46). As most changes for our UPS targets manifest at 3 and 24 h postexercise, where the changes in GAPDH/28S ratio are smallest, this does not seem to affect any of the biologically interesting findings presented here. In fact the GAPDH/28S ratio seemed to have changed before the second exercise bout, indicating an effect on baseline expression of GAPDH or 28S lasting for 7 wk. Nevertheless, with regard to the changes in baseline expression observed for E3{alpha}, UBC, and MURF1, changes in 28S expression may have influenced the E3{alpha} and UBC findings, whereas the MURF1 downregulation is too strong to be influenced by such an effect.

In summary, most of the changes we observed in the present study can be attributed to a real exercise effect and not a sampling or normalization artefact. However, our results also emphasize that great care must be taken when interpreting gene expression patterns derived from study designs such as the present one, where muscle traumatization from sampling resembles muscle damage as induced by the exercise intervention.

As for the interpretations of this study, one must take into consideration that the division in concentric and eccentric exercise used is rather unlike most kinds of physical activity, and one should take care not to extrapolate uncritically to other exercise models as it can be hard to assess eccentric and concentric contributions to the total response with other forms of exercise. Also, the exercise model used is one of muscular endurance rather than strength per se, as the exercise bouts lasted for 30 min. This also means that the mechanical load is smaller than that seen with the isokinetic knee extension apparatuses often used to generate eccentric work, and the results presented would likely have been different using such an apparatus. One could also speculate that dietary control of the subjects could have affected data. Finally, the "proteolytic marker" status of several of the measured targets is questionable and calls for validation using in vivo protein metabolism measurements.

Conclusion and perspectives.   Several studies have documented the association between expression of a defined group of genes and accelerated proteolysis. As the negative protein balance seen in most states of accelerated net protein loss is accounted for by increases in protein degradation rather than decreases in synthesis, it is still somewhat unclear if the observed transcriptional changes are associated with a modulation of the net protein balance or the isolated protein degradation. One study has reported a statistically significant association between the transcription of UBB polygene mRNA and protein breakdown (3), and another study has reported an association between the amount of 14-kDa actin caspase cleavage fragment and whole body protein loss (57). Thus the in vivo significance of the presented findings are not obvious, and for a clear interpretation to made, we need to 1) identify bottlenecks in ubiquitination and proteasomal degradation and 2) determine substrate specificity of the proposed ubiquitin ligases. The presented data thus help pinpoint target gene products for future research.

Protein metabolism tracer studies indicate that with the accustomization to exercise, exercise-induced increases in net protein synthesis diminish. Such accustomization seems evident from the appearance of attenuated development of muscle damage following exercise. This long-term physiological change must be paralleled and mediated by equally long-lived molecular changes. In the present study, we support the existence of such long-lived changes induced by exercise in a system involved in the regulation of protein metabolism. Thus the present results suggest that regulation at the mRNA level of systems mediating protein degradation takes part in mediating and sustaining the accustomization to exercise.

In conclusion, UPS component expression is modulated in human skeletal muscle with exercise in a manner differentiated with loading modality. Also, the attenuated muscle damage response with repeated loading is associated with a chronic modulation of distinct UPS component expression, possibly indicating a decrease in proteolytic capacity. The present data suggest that some modulation of the proteolytic apparatus occurs, but this calls for further research using in vivo protein metabolism techniques. The pattern of expression changes associated with exercise indicates that modulation of the UPS may take part in the acquired exercise tolerance producing diminishing returns with repeated applications of a given exercise stimulus.


    GRANTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
This work was funded by Team Danmark, The Danish National Research Board (Grant No. 504-14), Danish Health Research Agency (Grants No. 22-04-0191 and 22-04-0454), the Danish Ministry of Culture (Grant No. 2004-05-029), The Lundbeck Foundation, The Novo Nordisk Foundation, Hovedstadens Sygehusfællesskab, the Medical Faculty at University of Copenhagen, and the Danish Rheumatism Association.


    ACKNOWLEDGMENTS
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 
We thank Jakob Jespersen, Anne Mette Kloster, and Jesper Løvind Andersen for fruitful conversation, sparring, and technical assistance.


    FOOTNOTES
 

Address for reprint requests and other correspondence: A. Nedergaard, Bispebjerg Hospital, Institute of Sports Medicine, Copenhagen, Bispebjerg Bakke 23, Bldg. 8, DK-2400 Copenhagen NV, Denmark (e-mail: incognito{at}kropogkraft.dk)

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.


    REFERENCES
 TOP
 ABSTRACT
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 GRANTS
 ACKNOWLEDGMENTS
 REFERENCES
 

  1. Arendt-Nielsen L. [Clinical use of pain measurement techniques]. Ugeskr Laeger 164: 1790–1795, 2002.[Medline]
  2. Belcastro AN, Shewchuk LD, Raj DA. Exercise-induced muscle injury: a calpain hypothesis. Mol Cell Biochem 179: 135–145, 1998.[CrossRef][Web of Science][Medline]
  3. Biolo G, Bosutti A, Iscra F, Toigo G, Gullo A, Guarnieri G. Contribution of the ubiquitin-proteasome pathway to overall muscle proteolysis in hypercatabolic patients. Metabolism 49: 689–691, 2000.[CrossRef][Web of Science][Medline]
  4. Biolo G, Maggi SP, Williams BD, Tipton KD, Wolfe RR. Increased rates of muscle protein turnover and amino acid transport after resistance exercise in humans. Am J Physiol Endocrinol Metab 268: E514–E520, 1995.[Abstract/Free Full Text]
  5. Bodine SC, Latres E, Baumhueter S, Lai VK, Nunez L, Clarke BA, Poueymirou WT, Panaro FJ, Na E, Dharmarajan K, Pan ZQ, Valenzuela DM, DeChiara TM, Stitt TN, Yancopoulos GD, Glass DJ. Identification of ubiquitin ligases required for skeletal muscle atrophy. Science 294: 1704–1708, 2001.[Abstract/Free Full Text]
  6. Centner T, Yano J, Kimura E, McElhinny AS, Pelin K, Witt CC, Bang ML, Trombitas K, Granzier H, Gregorio CC, Sorimachi H, Labeit S. Identification of muscle specific ring finger proteins as potential regulators of the titin kinase domain. J Mol Biol 306: 717–726, 2001.[CrossRef][Web of Science][Medline]
  7. Chomczynski P, Sacchi N. Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction. Anal Biochem 162: 156–159, 1987.[Web of Science][Medline]
  8. Coffey VG, Shield A, Canny BJ, Carey KA, Cameron-Smith D, Hawley JA. Interaction of contractile activity and training history on mRNA abundance in skeletal muscle from trained athletes. Am J Physiol Endocrinol Metab 290: E849–E855, 2006.[Abstract/Free Full Text]
  9. Crameri RM, Langberg H, Teisner B, Magnusson P, Schroder HD, Olesen JL, Jensen CH, Koskinen S, Suetta C, Kjaer M. Enhanced procollagen processing in skeletal muscle after a single bout of eccentric loading in humans. Matrix Biol 23: 259–264, 2004.[CrossRef][Web of Science][Medline]
  10. Cuthbertson DJ, Babraj J, Smith K, Wilkes E, Fedele MJ, Esser K, Rennie M. Anabolic signaling and protein synthesis in human skeletal muscle after dynamic shortening or lengthening exercise. Am J Physiol Endocrinol Metab 290: E731–E738, 2006.[Abstract/Free Full Text]
  11. Dheda K, Huggett JF, Bustin SA, Johnson MA, Rook G, Zumla A. Validation of housekeeping genes for normalizing RNA expression in real-time PCR. Biotechniques 37: 112–119, 2004.[Web of Science][Medline]
  12. Dietrichson P, Coakley J, Smith PE, Griffiths RD, Helliwell TR, Edwards RH. Conchotome and needle percutaneous biopsy of skeletal muscle. J Neurol Neurosurg Psychiatry 50: 1461–1467, 1987.[Abstract/Free Full Text]
  13. Du J, Wang X, Miereles C, Bailey JL, Debigare R, Zheng B, Price SR, Mitch WE. Activation of caspase-3 is an initial step triggering accelerated muscle proteolysis in catabolic conditions. J Clin Invest 113: 115–123, 2004.[CrossRef][Web of Science][Medline]
  14. Dupont-Versteegden EE, Fluckey JD, Knox M, Gaddy D, Peterson CA. The effect of flywheel-based resistance exercise on processes contributing to muscle atrophy during unloading in adult rats. J Appl Physiol 110: 202–212, 2006.
  15. Gibala MJ, Interisano SA, Tarnopolsky MA, Roy BD, MacDonald JR, Yarasheski KE, MacDougall JD. Myofibrillar disruption following acute concentric and eccentric resistance exercise in strength-trained men. Can J Physiol Pharmacol 78: 656–661, 2000.[CrossRef][Web of Science][Medline]
  16. Glass DJ. Signalling pathways that mediate skeletal muscle hypertrophy and atrophy. Nat Cell Biol 5: 87–90, 2003.[CrossRef][Web of Science][Medline]
  17. Goldberg AL. Protein degradation and protection against misfolded or damaged proteins. Nature 426: 895–899, 2003.[CrossRef][Medline]
  18. Gomes MD, Lecker SH, Jagoe RT, Navon A, Goldberg AL. Atrogin-1, a muscle-specific F-box protein highly expressed during muscle atrophy. Proc Natl Acad Sci USA 98: 14440–14445, 2001.[Abstract/Free Full Text]
  19. Hather BM, Tesch PA, Buchanan P, Dudley GA. Influence of eccentric actions on skeletal muscle adaptations to resistance training. Acta Physiol Scand 143: 177–185, 1991.[Web of Science][Medline]
  20. Imae M, Fu Z, Yoshida A, Noguchi T, Kato H. Nutritional and hormonal factors control the gene expression of FoxOs, the mammalian homologues of DAF-16. J Mol Endocrinol 30: 253–262, 2003.[Abstract]
  21. Jones SW, Hill RJ, Krasney PA, O'Conner B, Peirce N, Greenhaff PL. Disuse atrophy and exercise rehabilitation in humans profoundly affects the expression of genes associated with the regulation of skeletal muscle mass. FASEB J 18: 1025–1027, 2004.[Abstract/Free Full Text]
  22. Jonsdottir IH, Schjerling P, Ostrowski K, Asp S, Richter EA, Pedersen BK. Muscle contractions induce interleukin-6 mRNA production in rat skeletal muscles. J Physiol 528: 157–163, 2000.[Abstract/Free Full Text]
  23. 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.[Abstract/Free Full Text]
  24. Kamei Y, Miura S, Suzuki M, Kai Y, Mizukami J, Taniguchi T, Mochida K, Hata T, Matsuda J, Aburatani H, Nishino I, Ezaki O. Skeletal muscle FOXO1 (FKHR) transgenic mice have less skeletal muscle mass, down-regulated Type I (slow twitch/red muscle) fiber genes, and impaired glycemic control. J Biol Chem 279: 41114–41123, 2004.[Abstract/Free Full Text]
  25. Kim PL, Staron RS, Phillips SM. Fasted-state skeletal muscle protein synthesis after resistance exercise is altered with training. J Physiol 568: 283–290, 2005.[Abstract/Free Full Text]
  26. Kwak KS, Zhou X, Solomon V, Baracos VE, Davis J, Bannon AW, Boyle WJ, Lacey DL, Han HQ. Regulation of protein catabolism by muscle-specific and cytokine-inducible ubiquitin ligase E3alpha-II during cancer cachexia. Cancer Res 64: 8193–8198, 2004.[Abstract/Free Full Text]
  27. LaStayo PC, Pierotti DJ, Pifer J, Hoppeler H, Lindstedt SL. Eccentric ergometry: increases in locomotor muscle size and strength at low training intensities. Am J Physiol Regul Integr Comp Physiol 278: R1282–R1288, 2000.[Abstract/Free Full Text]
  28. Lecker SH, Jagoe RT, Gilbert A, Gomes M, Baracos V, Bailey J, Price SR, Mitch WE, Goldberg AL. Multiple types of skeletal muscle atrophy involve a common program of changes in gene expression. FASEB J 18: 39–51, 2004.[Abstract/Free Full Text]
  29. Leger B, Cartoni R, Praz M, Lamon S, Deriaz O, Crettenand A, Gobelet C, Rohmer P, Konzelmann M, Luthi F, Russell AP. Akt signalling through GSK-3β, mTOR and Foxo1 is involved in human skeletal muscle hypertrophy and atrophy. J Physiol 576: 923–933, 2006.[Abstract/Free Full Text]
  30. Li YP, Chen Y, John J, Moylan J, Jin B, Mann DL, Reid MB. TNF-alpha acts via p38 MAPK to stimulate expression of the ubiquitin ligase atrogin1/MAFbx in skeletal muscle. FASEB J 19: 362–370, 2005.[Abstract/Free Full Text]
  31. Malm C. Exercise-induced muscle damage and inflammation: fact or fiction? Acta Physiol Scand 171: 233–239, 2001.[CrossRef][Web of Science][Medline]
  32. McElhinny AS, Kakinuma K, Sorimachi H, Labeit S, Gregorio CC. Muscle-specific RING finger-1 interacts with titin to regulate sarcomeric M-line and thick filament structure and may have nuclear functions via its interaction with glucocorticoid modulatory element binding protein-1. J Cell Biol 157: 125–136, 2002.[Abstract/Free Full Text]
  33. McElhinny AS, Perry CN, Witt CC, Labeit S, Gregorio CC. Muscle-specific RING finger-2 (MURF-2) is important for microtubule, intermediate filament and sarcomeric M-line maintenance in striated muscle development. J Cell Sci 117: 3175–3188, 2004.[Abstract/Free Full Text]
  34. McHugh MP. Recent advances in the understanding of the repeated bout effect: the protective effect against muscle damage from a single bout of eccentric exercise. Scand J Med Sci Sports 13: 88–97, 2003.[CrossRef][Web of Science][Medline]
  35. McHugh MP, Connolly DA, Eston RG, Gleim GW. Exercise-induced muscle damage and potential mechanisms for the repeated bout effect. Sports Med 27: 157–170, 1999.[CrossRef][Web of Science][Medline]
  36. Megeney LA, Kablar B, Garrett K, Anderson JE, Rudnicki MA. MyoD is required for myogenic stem cell function in adult skeletal muscle. Genes Dev 10: 1173–1183, 1996.[Abstract/Free Full Text]
  37. Miller BF, Olesen JL, Hansen M, Dossing S, Crameri RM, Welling RJ, Langberg H, Flyvbjerg A, Kjaer M, Babraj JA, Smith K, Rennie MJ. Coordinated collagen and muscle protein synthesis in human patella tendon and quadriceps muscle after exercise. J Physiol 567: 1021–1033, 2005.[Abstract/Free Full Text]
  38. Moore DR, Phillips SM, Babraj JA, Smith K, Rennie MJ. Myofibrillar and collagen protein synthesis in human skeletal muscle in young men after maximal shortening and lengthening contractions. Am J Physiol Endocrinol Metab 288: E1153–E1159, 2005.[Abstract/Free Full Text]
  39. Newham DJ, Jones DA, Edwards RH. Large delayed plasma creatine kinase changes after stepping exercise. Muscle Nerve 6: 380–385, 1983.[CrossRef][Web of Science][Medline]
  40. Nosaka K, Sakamoto K, Newton M, Sacco P. How long does the protective effect on eccentric exercise-induced muscle damage last? Med Sci Sports Exerc 33: 1490–1495, 2001.
  41. Phillips SM, Parise G, Roy BD, Tipton KD, Wolfe RR, Tamopolsky MA. Resistance-training-induced adaptations in skeletal muscle protein turnover in the fed state. Can J Physiol Pharmacol 80: 1045–1053, 2002.[CrossRef][Web of Science][Medline]
  42. Phillips SM, Tipton KD, Aarsland A, Wolf SE, Wolfe RR. Mixed muscle protein synthesis and breakdown after resistance exercise in humans. Am J Physiol Endocrinol Metab 273: E99–E107, 1997.[Abstract/Free Full Text]
  43. Phillips SM, Tipton KD, Ferrando AA, Wolfe RR. Resistance training reduces the acute exercise-induced increase in muscle protein turnover. Am J Physiol Endocrinol Metab 276: E118–E124, 1999.[Abstract/Free Full Text]
  44. Sandri M, Carraro U, Podhorska-Okolov M, Rizzi C, Arslan P, Monti D, Franceschi C. Apoptosis, DNA damage and ubiquitin expression in normal and mdx muscle fibers after exercise. FEBS Lett 373: 291–295, 1995.[CrossRef][Web of Science][Medline]
  45. Sandri M, Sandri C, Gilbert A, Skurk C, Calabria E, Picard A, Walsh K, Schiaffino S, Lecker SH, Goldberg AL. Foxo transcription factors induce the atrophy-related ubiquitin ligase atrogin-1 and cause skeletal muscle atrophy. Cell 117: 399–412, 2004.[CrossRef][Web of Science][Medline]
  46. Schjerling P. The importance of internal controls in mRNA quantification. J Appl Physiol 90: 401–402, 2001.[Free Full Text]
  47. Solomon V, Goldberg AL. Importance of the ATP-ubiquitin-proteasome pathway in the degradation of soluble and myofibrillar proteins in rabbit muscle extracts. J Biol Chem 271: 26690–26697, 1996.[Abstract/Free Full Text]
  48. Solomon V, Lecker SH, Goldberg AL. The N-end rule pathway catalyzes a major fraction of the protein degradation in skeletal muscle. J Biol Chem 273: 25216–25222, 1998.[Abstract/Free Full Text]
  49. Spencer JA, Eliazer S, Ilaria RL Jr, Richardson JA, Olson EN. Regulation of microtubule dynamics and myogenic differentiation by MURF, a striated muscle RING-finger protein. J Cell Biol 150: 771–784, 2000.[Abstract/Free Full Text]
  50. Stitt TN, Drujan D, Clarke BA, Panaro F, Timofeyva Y, Kline WO, Gonzalez M, Yancopoulos GD, Glass DJ. The IGF-1/PI3K/Akt pathway prevents expression of muscle atrophy-induced ubiquitin ligases by inhibiting FOXO transcription factors. Mol Cell 14: 395–403, 2004.[CrossRef][Web of Science][Medline]
  51. Stupka N, Tarnopolsky MA, Yardley NJ, Phillips SM. Cellular adaptation to repeated eccentric exercise-induced muscle damage. J Appl Physiol 91: 1669–1678, 2001.[Abstract/Free Full Text]
  52. Tintignac LA, Lagirand J, Batonnet S, Sirri V, Leibovitch MP, Leibovitch SA. Degradation of MyoD mediated by the SCF (MAFbx) ubiquitin ligase. J Biol Chem 280: 2847–2856, 2005.[Abstract/Free Full Text]
  53. Vissing K, Andersen JL, Schjerling P. Are exercise-induced genes induced by exercise? FASEB J 19: 94–96, 2005.[Abstract/Free Full Text]
  54. White JD, Scaffidi A, Davies M, McGeachie J, Rudnicki MA, Grounds MD. Myotube formation is delayed but not prevented in MyoD-deficient skeletal muscle: studies in regenerating whole muscle grafts of adult mice. J Histochem Cytochem 48: 1531–1544, 2000.[Abstract/Free Full Text]
  55. Willoughby DS, Taylor M, Taylor L. Glucocorticoid receptor and ubiquitin expression after repeated eccentric exercise. Med Sci Sports Exerc 35: 2023–2031, 2003.
  56. Witt SH, Granzier H, Witt CC, Labeit S. MURF-1 and MURF-2 target a specific subset of myofibrillar proteins redundantly: towards understanding MURF-dependent muscle ubiquitination. J Mol Biol 350: 713–722, 2005.[CrossRef][Web of Science][Medline]
  57. Workeneh BT, Rondon-Berrios H, Zhang L, Hu Z, Ayehu G, Ferrando A, Kopple JD, Wang H, Storer T, Fournier M, Lee SW, Du J, Mitch WE. Development of a diagnostic method for detecting increased muscle protein degradation in patients with catabolic conditions. J Am Soc Nephrol 17: 3233–3239, 2006.[Abstract/Free Full Text]
  58. Yang Y, Jemiolo B, Trappe S. Proteolytic mRNA expression in response to acute resistance exercise in human single skeletal muscle fibers. J Appl Physiol 101: 1442–1450, 2006.[Abstract/Free Full Text]




This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF) Free
Right arrow All Versions of this Article:
103/5/1513    most recent
01445.2006v1
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via ISI Web of Science (1)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nedergaard, A.
Right arrow Articles by Schjerling, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nedergaard, A.
Right arrow Articles by Schjerling, P.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2007 by the American Physiological Society.