Aerobic conditioning alters the satellite cell and ribosome response to acute eccentric contractions in young men and women
Abstract
Satellite cells (SCs) and ribosomes are key determinants of the skeletal muscle adaptive response. Both are thought to increase acutely after resistance exercise and chronically with resistance training. However, the acute SC and ribosome exercise response with prior aerobic conditioning is unknown. Fourteen young men and women underwent 6 wk of single-legged aerobic conditioning followed by an acute bout of 300 eccentric contractions on each leg. Muscle biopsies were taken from the vastus lateralis of the aerobically conditioned (AC) and the control (CTL) legs before (Pre), 24 (24 h), and 48 (48 h) h post-contractions. Pre-eccentric contractions, 45S pre-rRNA and 5.8S internal transcribed spacer (ITS) expression were lower in the AC leg compared with the CTL leg. SC content (PAX7+ cells/100 fibers) in type I and mixed fibers showed a main effect of condition, where values were greater in the AC leg compared with the CTL. A main effect of condition for Pax7 and MyoD1 mRNA expression was observed where expression was greater in the AC leg compared with the CTL. AC had greater RNA concentration and mRNA expression of Ubf and Tif-1a compared with CTL. Only the AC leg increased (Pre-24h) 45S pre-rRNA, 5.8S ITS, and 28S ITS following eccentric contractions. We discovered that aerobic conditioning increased type-I SC abundance and the acute increase in ribosome content following eccentric contractions.
INTRODUCTION
In humans, eccentric contractions lead to skeletal muscle damage, resulting in the subsequent activation of cellular processes to support repair (1, 2). Muscle-specific stem cells, commonly referred to as satellite cells (SCs), are particularly important for skeletal muscle repair (3–5). Following various stimuli, such as exercise or damage-inducing eccentric contractions, SCs are activated, proliferate and either fuse to existing myofibers to support repair and remodeling or return to quiescence to replenish the SC pool (4–7).
We have previously reported that young individuals with greater skeletal muscle capillarization showed an augmented SC expansion/activation following a single bout of eccentric contractions, resulting in an accelerated recovery of muscle function (8). Therefore, aerobic conditioning (a well-known stimulus to induce skeletal muscle capillarization) preceding an acute damaging stimulus may heighten the SC response and support muscle adaptation and repair (9, 10).
Ribosomes play a key role in protein translation (11–13) and recent work in rodents has demonstrated that SCs may supply certain ribosomal proteins to muscle fibers to support adaptation (14). Following an acute bout of resistance exercise, ribosome content increases to support the synthesis of proteins involved in cellular remodeling (15–18) and muscle contractions (19–21). Increases in ribosome content likely precede muscle protein synthesis, which is stimulated following aerobic (22, 23) and resistance exercise (24, 25). In addition, damage-inducing eccentric contractions increase the expression of genes associated with the regulation of muscle protein synthesis (2). Although ribosomes are essential for regulating protein translation, changes in ribosome content following an acute bout of eccentric contractions have been measured in rodents (26, 27) but not in humans.
The purpose of this study was to determine the impact of aerobic conditioning on the acute SC and ribosome response to eccentric contractions. We hypothesized that ribosome content would increase following acute eccentric contractions and that aerobic conditioning would augment both the SC and ribosome response to eccentric damage.
MATERIALS AND METHODS
Ethics Approval
Participants were informed about the nature and risks of the study and gave written consent before enrollment. This study was approved by the Hamilton Health Sciences Integrated Research Ethics Board (HiREB No. 3885) and conformed to the guidelines outlined in the Declaration of Helsinki.
Participants
Baseline participant characteristics have previously been described by Thomas et al. (28) and are summarized in Table 1.
Characteristic | Males (n = 8) | Females (n = 6) | Overall (n = 14) | RNA Analyses (n = 11) |
---|---|---|---|---|
Age, yr | 21.0 ± 1.7 | 21.0 ± 1.5 | 21.1 ± 1.6 | 21.3 ± 1.6 |
Body mass, kg | 82.2 ± 15.5* | 60.0 ± 9.4 | 74.1 ± 17.6 | 75.2 ± 20.6 |
BMI, kg/m2 | 27.3 ± 4.8 | 22.9 ± 2.2 | 25.4 ± 4.5 | 25.8 ± 5.2 |
V̇o2 relative, mL/min/kg | 42.3 ± 6.9 | 34.8 ± 4.6 | 39.1 ± 7.1 | 37.0 ± 5.8 |
Study Design
Participants underwent 6 wk of single-legged aerobic conditioning on a randomized leg (aerobically conditioned, “AC”) where the other acted as a nonconditioned control (CTL; 28). Participants underwent resting (Pre) skeletal muscle biopsies from the vastus lateralis of both the AC and CTL legs according to Tarnopolsky et al. (29) at least 1 wk following the last AC bout. Participants then underwent 300 isokinetic, eccentric contractions of the quadriceps muscles at 180°/s using a Biodex dynamometer (Biodex-System 4, Biodex Medical Systems, Shirley, NY) with each leg, a protocol used frequently in our laboratory to elicit skeletal muscle damage (8, 30–32). Participants returned to the laboratory 24 and 48 h following eccentric contractions and underwent biopsies from both the CTL and AC legs. Samples were either mounted in Optimal Cutting Temperature (OCT) compound and frozen in precooled isopentane or frozen in liquid nitrogen and stored at –80°C.
Immunohistochemical Analyses
Immunofluorescent staining for fiber-specific SC content (PAX7+ cells) and activation status (quiescent PAX7+/MYOD−, activated PAX7+/MYOD+, and differentiating PAX7−/MYOD+) are described previously (8, 33–36) and expressed per 100 fibers. All staining procedures were verified for specificity using negative controls for primary (primary only) and secondary (secondary only) antibodies. For quantification, PAX7 (anti-PAX7 Mouse, DHSB, neat; Alexa Fluor 594 goat anti-mouse, 1:500) and/or MYOD (anti-MYOD 5.8 A Mouse, DAKO, 1:100; goat anti-mouse biotin, 1:200, and streptavidin 488, 1:200) was overlayed with DAPI (Sigma-Aldrich, 1:20,000) and examined with laminin (anti-Laminin Rabbit, Abcam ab11575, 1:500; Alexa Fluor 647 goat anti-rabbit 1:500) or wheat germ agglutinin (WGA; Wheat Germ Agglutinin, Invitrogen W32466, 1:200) to determine the appropriate SC location, myosin heavy chain I (anti-MHCI Mouse, DHSB A4.951, neat; Alexa Fluor 488 goat anti-mouse, 1:500) and II (anti-MHCII Rabbit, Abcam ab51263, 1:1,000; Alexa Fluor 647 goat anti-rabbit, 1:500) to determine fiber type-specific associations and expressed per 100 fibers. Images were taken on a Nikon Eclipse Ti Microscope (Nikon Instruments) with a high-resolution Photometrics CoolSNAP HQ2 fluorescent camera (Nikon Instruments, Melville, NY) at a ×20 objective. Analyses were performed in a blinded fashion.
RNA Isolation and Reverse Transcription
RNA was isolated from muscle homogenate using the TRIzol and reverse-transcribed using the high-capacity cDNA reverse transcription kit (Applied Biosystems, Cat. No. 4368814) according to the manufacturer’s protocol and stored at −20°C until subsequent analysis. Samples from three participants were excluded due to low RNA concentration yield (see Table 1).
Quantitative Real-Time PCR
Quantitative real-time PCR (RT-qPCR) reactions were run using 10 ng cDNA in a QuantStudio 5—384-well block (Applied Biosystems, Thermo Fisher Scientific) RT qPCR machine. Primer sequences (5′-3′ forward, reverse; concentration) for Gapdh ( CCACCCATGGCAAATTC, TGGGATTTCCATTGATGACAA; 15 µM), Cyclin D1 ( GCTGCGAAGTGGAAACCATC, CCTCCTTCTGCACACATTTGAA; 15 µM), Ubf ( CCTGGGGAAGCAGTGGTCTC, CCCTCCTCACTGATGTTCAGC; 10 µM), Tif-1a ( GTTCGGTTTGGTGGAACTGTG, TCTGGTCATCCTTTATGTCTGG; 10 µM), Polr-1b ( GCTACTGGGAATCTGCGTTCT, CAGCGGAAATGGGAGAGGTA; 10 µM), 5.8S rRNA ( ACTCTTAGCGGTGGATCACTC, GACGCTCAGACAGGCGTAG; 10 µM), 18S rRNA ( TGGCTCAGCGTGTGCCTAC, ACAAAGGGCAGGGACTTAATC; 10 µM), 28S rRNA ( ACCTGGCGCTAAACCATTC, GTGTCGAGGGCTGACTTTC; 10 µM), 5.8S ITS ( TCGCCAAATCGACCTCGTAC, AGCTGCGTTCTTCATCGACG; 10 µM), 18S ETS ( GCCCGTCCTCGCGAGGC, TGCATGGCTTAATCTTTGAGAC; 15 µM), and 28S ITS ( CGGCGCGATTCCGTCCGT, GTTCACTCGCCGTTACTGAG; 10 µM), and assays for Gapdh (ThermoFisher, Hs00187842_m), Pax7 (ThermoFisher, Hs00242962_m1), MyoD1 (ThermoFisher, Hs00159528_m1), Myf5 (ThermoFisher, Hs00929416_g1), c-Myc (ThermoFisher, Hs00153408_m), 45S pre-rRNA (Qiagen, ID PPH82089A-200), and 5S rRNA (ThermoFisher, Hs03682751_gH) were used. Reactions for individual primers and the 45S pre-rRNA assay were run with RT2 Sybr Green qPCR Master Mix (Qiagen, No. 330500) and all other assays using Taqman Fast Advanced Master Mix (ThermoFisher, No. 4444556). The housekeeping gene (Gapdh) expression was not impacted by the intervention. Samples were normalized to Gapdh (ΔCt; either respective SYBR or Taqman Gapdh) and to Pre eccentric contractions in the CTL leg (ΔΔCt).
Statistical Analyses
Jamovi 1.6.23 was used to run statistical analyses. Outliers were determined using means ± 2 × standard deviation (SD) and removed from analyses. Trend analyses for missing and removed data were used for participants with one or less missing data points. A paired t test was used to determine the change (Δ) in peak oxygen consumption (V̇o2) peak between CTL and AC following aerobic conditioning. An independent t test was used to compare the Total and RNA group characteristics. SC content and activation and gene expression data were analyzed using a two-way repeated measure analysis of variance with factors of time (Pre, 24 h, and 48 h) and condition (CTL and AC), where Tukey’s honest significant difference test was used to analyze multiple post hoc comparisons.
All data are expressed as means ± standard deviation (SD).
RESULTS
Participant Characteristics
Due to tissue availability, only 11 participants (n = 6 males, n = 5 females) were included in the gene expression analyses compared with 14 (n = 8 males, n = 6 females) in the immunohistochemical analyses (Table 1). Both the “Total (n = 14)” and “Gene expression analyses (n = 11)” groups had a similar age (21 ± 2 yr), body mass index (BMI; n = 14, 25.4 ± 4.7; n = 11, 25.8 ± 5.2 kg/m2), and ΔV̇o2 peak (n = 14, 3.9 ± 3.6; n = 11, 3.7 ± 3.0 mL/min/kg) from pre-AC to post-AC (P > 0.05).
Satellite Cell Content
A significant time effect was observed for type-I (P = 0.000232), type-II (P < 0.0001), and mixed fiber (P < 0.0001) SC content.
A significant effect of condition was observed for type-I SC content (Fig. 1D; PAX7+ cells) where the AC leg was greater than the CTL leg (P = 0.0184) and tended to have greater mixed-fiber SC content (Fig. 1F; P = 0.0546).

Figure 1.SC content and myogenic gene expression. A: schematic of the study design. Representative images of immunofluorescent stains for MHCI, Laminin, MHCII and PAX7 overlayed (B), PAX7 (C), and PAX7 and DAPI (D). The white arrows indicate PAX7+/DAPI+ cells and the scale bar is 100 μm. SC per 100 fibers for SC located to type-I (E), type-II (F), and mixed-fibers (G; n = 14 participants). Myogenic genes Pax7 (H; n = 10), MyoD1 (I; n = 10), and Myf5 (J; n = 10) mRNA expression Pre, 24, and 48 h following eccentric contractions. All values are individual data points for the CTL (•) and AC (■) legs, where each color represents a different participant and is overlayed on means (middle, horizontal line) ± SD (vertical line). Two-way repeated measures of variance, *significant effect of time, †significant effect of condition (AC > CTL), ‡significant time × condition interaction, Φsignificant difference between means (Tukey’s honest significant difference test, P < 0.05). AC, aerobically conditioned; CTL, control; MHCI, myosin heavy chain I; SC, satellite cells.
A significant time × condition interaction was observed for type-II SC content (Fig. 1E; P = 0.00228), where the CTL leg significantly increased type-II-specific SC content from Pre to 24 h (P = 0.00702) and 48 h (P = 0.00616) posteccentric contractions. The AC leg increased from Pre to 48 h (P = 0.00319) but was not different at 24 h (P > 0.05).
No time × condition interactions were observed for type-I or mixed-fiber SC content (P > 0.05).
Myogenic Gene Expression
A significant effect of time was observed for Pax7 (P = 0.0105), MyoD1 (P < 0.0001), and Myf5 (P = 0.00217) mRNA expression.
A significant effect of condition was observed for Pax7 mRNA expression (Fig. 1G; fold-change), where the AC leg was greater than the CTL (P = 0.00419) and tended to have greater MyoD1 (Fig. 1H; P = 0.0952) but not Myf5 (Fig. 1I; P > 0.05) mRNA expression. No time × condition interactions were observed (P > 0.05).
Satellite Cell Activation Status
A significant effect of time was observed for type-I activated (PAX7+/MYOD+; P = 0.00489), type-II quiescent (PAX7+/MYOD−; P = 0.0220), and type-II activated (P = 0.00256) SC content.
A significant effect of condition was observed for type-I quiescent SC content (Fig. 2G), where the AC leg was greater than the CTL leg (P = 0.00427). No differences were observed for activated or differentiating SC content between legs (P > 0.05). No time × condition interactions were observed (P > 0.05).

Figure 2.SC activation status. Representative images of immunofluorescent stains for PAX7, MYOD, MHCII and WGA, and DAPI overlayed (A), MYOD (B), MYOD and DAPI (C), PAX7, MYOD, and DAPI (D), PAX7 (E), and PAX7 and DAPI (F). The red arrows indicate PAX7+/MYOD− cells, yellow arrows indicate PAX7+/MYOD+ cells, and green arrows indicate PAX7−/MYOD+ cells, and the scale bar is 100 μm. Type-I-specific quiescent (PAX7+/MYOD−; n = 12 participants; G), activated (PAX7+/MYOD+; n = 11; H), and differentiating (PAX7−/MYOD+; n = 12; I) SC. Type-II-specific quiescent (n = 11; J), activated (n = 12; K), and differentiating (n = 11; L) SC Pre, 24, and 48 h following eccentric contractions. All values are individual data points for the CTL (•) and AC (■) legs, where each color represents a different participant and is overlayed on means (middle, horizontal line) ± SD (vertical line). Two-way repeated measures of variance, *significant effect of time, †significant effect of condition (AC > CTL). AC, aerobically conditioned; CTL, control; MHCII, myosin heavy chain II; SC, satellite cells; WGA, wheat germ agglutinin.
[RNA]
A significant effect of condition was observed for [RNA] (Fig. 3A; ng/mg muscle), where the AC leg was greater than the CTL leg (P = 0.00982).

Figure 3.Markers of ribosomal biogenesis and ribosome content. A: RNA concentration relative to muscle wet weight (n = 9 participants). Ribosomal biogenesis markers c-Myc (n = 9; B), Cyclin D1 (n = 11; C), Ubf (n = 10; D), Tif-1a (n = 10; E), and Polr-1b (n = 10; F) mRNA expression, ribosomal RNA markers 5S rRNA (n = 9; G), 45S pre-rRNA (n = 8; H), 5.8S rRNA (n = 10; I), 18S rRNA (n = 11; J), 28S rRNA (n = 9; K), 5.8S ITS (n = 9; L), 18S ETS (n = 9; M), 28S ITS (n = 9; N) expression Pre, 24, and 48 h following eccentric contractions. All values are individual data points for CTL (•) and AC (■), where each color represents a different participant and is overlayed on means (middle, horizontal line) ± SD (vertical line). Two-way repeated measures of variance, *significant effect of time (Pre RT > Post RT), †significant effect of condition (AC > CTL), ‡significant time × condition interaction, Φsignificant difference between means (Tukey’s honest significant difference test, P < 0.05). AC, aerobically conditioned; CTL, control.
Ribosomal Biogenesis Regulators
A significant effect of time was observed for c-Myc (Fig. 3B; P = 0.0134), Tif-1a (Fig. 3E; P < 0.0001), and Polr-1b (Fig. 3F; P < 0.0001) mRNA expression.
C-Myc mRNA expression (fold change) tended to increase from Pre (1.12 ± 1.07) to 48 h after damage (3.31 ± 1.81) in the AC leg (P = 0.0733; Fig. 3B).
Significant effects of condition were observed for Ubf (Fig. 3D; P = 0.0489) and Tif-1a (Fig. 3E; P = 0.00436) mRNA expression, where the AC leg was greater than the CTL leg. No effects of condition were observed for Cyclin D1 (Fig. 3C) or Polr-1b (Fig. 3F) mRNA expression (P > 0.05). No time × condition interactions were observed (P > 0.05).
Ribosomal RNAs
A significant effect of time (P = 0.00392) and time × condition interaction (P = 0.0117) was observed for 45S pre-rRNA expression (Fig. 3H). The AC leg tended to increase 45S pre-rRNA expression from Pre to 24 h posteccentric contractions (P = 0.0825), whereas the CTL leg had significantly greater 45S pre-rRNA expression Pre eccentric contractions compared with the AC leg (P = 0.00297) and decreased at 24 h (P < 0.0001).
No effects of time, condition, or time × condition interactions were observed for 5S rRNA (Fig. 3G), 5.8S rRNA (Fig. 3I), 18S rRNA (Fig. 3J), or 28S rRNA (Fig. 3K) expression (P > 0.05).
Internal and External Transcribed Spacer Regions
Significant effects of time (P = 0.00145, P = 0.00173) and time × condition interactions (P = 00530, P = 0.000507) were observed for 5.8S ITS (Fig. 3L) and 28S ITS (Fig. 3N) expression, respectively. The AC leg significantly increased 5.8S ITS expression from Pre to 24 h (P = 0.0347), then decreased from 24 h to 48 h (P = 0.0412). The CTL leg tended to have greater 5.8S ITS expression Pre eccentric contractions compared with the AC leg (P = 0.0571). The AC leg significantly increased 28S ITS expression from Pre to 24 h (P = 0.0151), then decreased from 24 h to 48 h (P = 0.0418). No effects of time, condition, or time × condition interactions were observed for 18S ETS expression (Fig. 3M; P > 0.05).
DISCUSSION/CONCLUSIONS
We report that the type-I fiber-associated SC content and that the acute increase in ribosome content were greater following acute eccentric contractions preceded by AC compared with the CTL. Nonetheless, no differences between conditions were observed for SC activation, differentiation, or type-II-associated SC expansion. This study is the first to characterize the acute SC and ribosome response with AC and to determine the impact of eccentric contractions on the change in ribosome content in humans.
We have previously demonstrated that individuals with greater skeletal muscle capillarization have a greater SC response to damage-inducing exercise (8) suggesting that muscle capillarization may be a key factor governing SC function. In addition, studies in both humans (33, 34) and mice (37, 38) have demonstrated that aerobic conditioning alters SC dynamics to break quiescence and increase the number of activated SC at rest (humans) and following a damaging stimulus (mice). Work in middle-aged women has also demonstrated that endurance training is able to alter the acute SC response to a bout of resistance exercise (39). The participants in the present study experienced an increase in V̇o2 peak and skeletal muscle capillarization following single-legged AC (28), which was associated with an augmented type-I SC content, further supporting the notion that training status and specifically capillary content can impact SC function.
The muscle-damaging protocol that we used in the current study has been used on numerous occasions by our group (8, 30, 31, 35) and others (1, 2, 40). We report an effect of condition for a greater type-I-specific Pax7+ and quiescent SC content in the AC leg compared with the CTL. As total type-I PAX7+ cells appear similar between legs before eccentric contractions, this may indicate that type-I SC was primed to respond to stimuli as aerobic conditioning primarily targets type-I fibers (39). This finding is consistent with the AC leg having greater mRNA expression of Pax7 and tending to have a greater mRNA expression of MyoD1, but in contrast with a previous study in which middle-aged women completed 12 wk of aerobic training and an increase in type-I SC content was reported (41). However, it is important to note that there were differences in both study populations (young men and women compared with middle-aged women), and an increase in type-I fiber CSA following the aerobic stimulus was reported in middle-aged women, which may explain the increase in type-I associated SC content. Another study in sedentary middle-aged individuals that completed 12 wk of aerobic conditioning also reported an increase in type-I SC content, however, this was also accompanied by an increase in type-I fiber CSA (42). Although the participants in our study did not increase type-I CSA following aerobic conditioning (28), previous work by our laboratory has demonstrated an increase in activated SC following aerobic conditioning, which may act as an anticipatory response for future stimuli (34).
Although type-I and mixed-fiber-specific SC content were greater in the AC leg compared with the CTL, only type-II-specific SC content increased following eccentric contractions. Both the AC and CTL legs increased type-II SC content to a similar extent, however, the CTL leg increased total PAX7+ cells at 24 h, whereas the AC leg showed delayed PAX7+ cell accumulation, peaking at 48 h. The number of activated (PAX7+/MYOD+) SC increased in both type-I and -II fibers following eccentric contractions with no difference between conditions. Therefore, AC augmented type-I-specific SC content and appeared to delay the acute increase in type-II SC content, but did not appear to influence the type-I or -II activation or differentiation status.
Ribosome biogenesis increases acutely following resistance exercise to synthesize new ribosome complexes; however, following resistance training, the acute increase in ribosome content following a bout of resistance exercise may be blunted (15–18). Aerobic conditioning resulted in greater expression of several ribosome-related genes. Expression of ribosomal biogenesis regulators upstream binding factor (Ubf) and transcription intermediary factor 1 A (Tif-1a) were greater in the AC leg. C-Myc, the master regulator of ribosomal biogenesis (43), has previously been demonstrated to peak at 8 h and return to baseline at 24 h following an acute bout of exercise (44). In the current study, we report an increase in C-Myc 48 h posteccentric contractions in the AC leg. The differences in this increase could be due to the differences in exercise stimulus, where perhaps a more damaging stimulus could delay the spike in c-Myc expression. These observations (alongside the other ribosome biogenesis markers) indicate a greater capacity for the AC leg to increase ribosome content following eccentric contractions. Ribosomal RNAs did not increase following eccentric contractions and were similar between conditions, likely due to the high degree of interindividual variability previously observed in their expression (44, 45). However, 45S pre-rRNA, 5.8S ITS, and 28S ITS increased expression 24 h posteccentric contractions in the AC leg and returned to baseline after 48 h, which aligns with previous work (44). The increase and subsequent decrease in 45S pre-rRNA and ITS expression suggests that ribosome content increases following eccentric contractions and that the increase is greater in the AC leg.
The impacts of exercise training on the acute changes in ribosome content are not well understood. The only studies to measure acute changes in ribosome content following resistance training reported either no change or an increase (15) and no change or a decrease (46) in markers of ribosomal biogenesis. Our study is the first to measure the change in ribosome content following an acute bout of exercise (any type) after a period of AC and the first to measure these acute changes beyond the 1 h-acute timepoint. It appears that AC augments the acute increase in ribosome content following eccentric contractions and therefore, suggests that AC may “prime” ribosomes to respond to a novel stimulus.
We discovered that AC augments type-I and mixed-fiber SC content and the acute increase in ribosome content following eccentric contractions. The greater SC content and markers of ribosome biogenesis, and acute increases in ribosome content following eccentric contractions in the AC leg indicate a more efficient transcription and translational control in exercise-accustomed muscle to better support repair and adaptation to damaging stimuli. Future work should measure protein synthesis and specific subfractions (i.e., myofibrillar, sarcoplasmic, and mitochondrial) in response to eccentric damage and markers of translational efficiency, another important determinant in protein synthesis (13, 43).
GRANTS
This study was supported by a Discovery grant from the Natural Sciences and Engineering Research Council of Canada (RGPIN-2016-05633) awarded to G.P. A.B. was supported by an Ontario Graduate Scholarship. A.C.Q.T. was supported by a Canadian Graduate Scholarship (Masters) from the Natural Sciences and Engineering Research Council of Canada.
DISCLOSURES
Dr. Phillips reports grants from US National Dairy Council, Dairy Farmers of Canada, Roquette Freres, National Science and Engineering Research Council, and Canadian Institutes for Health Research during the conduct of the study; personal fees from US National Dairy Council, non-financial support from Enhanced Recovery, outside the submitted work; In addition, Dr. Phillips has a patent Canadian 3052324 issued to Exerkine, and a patent US 20200230197 pending to Exerkine but reports no financial gains. None of the other authors has any conflicts of interest, financial or otherwise, to disclose.
AUTHOR CONTRIBUTIONS
A.C.Q.T., S.M.P., D.K., G.P., and S.J. conceived and designed research; A.B., A.C.Q.T., A.A.H., C.M., and S.J. performed experiments; A.B., A.A.H., and S.J. analyzed data; A.B., S.M.P., G.P., and S.J. interpreted results of experiments; A.B. and S.J. prepared figures; A.B. and S.J. drafted manuscript; A.B., A.C.Q.T., C.M., D.K., G.P., and S.J. edited and revised manuscript; A.B., A.C.Q.T., A.A.H., C.M., S.M.P., D.K., G.P., and S.J. approved final version of manuscript.
ACKNOWLEDGMENTS
We thank Todd Prior for technical assistance throughout the study.
REFERENCES
- 1. . Contraction-induced muscle damage is unaffected by vitamin E supplementation. Med Sci Sports Exerc 34: 798–805, 2002. doi:10.1097/00005768-200205000-00012.
Crossref | PubMed | Web of Science | Google Scholar - 2. . Gene expression profiling in human skeletal muscle during recovery from eccentric exercise. Am J Physiol Regul Integr Comp Physiol 294: R1901–R1910, 2008. doi:10.1152/ajpregu.00847.2007.
Link | Web of Science | Google Scholar - 3. . Cellular dynamics in the muscle satellite cell niche. EMBO Rep 14: 1062–1072, 2013. doi:10.1038/embor.2013.182.
Crossref | PubMed | Web of Science | Google Scholar - 4. . Niche regulation of muscle satellite cell self-renewal and differentiation. Cell Stem Cell 2: 22–31, 2008. doi:10.1016/j.stem.2007.12.012.
Crossref | PubMed | Web of Science | Google Scholar - 5. . Function of the myogenic regulatory factors Myf5, MyoD, Myogenin and MRF4 in skeletal muscle, satellite cells and regenerative myogenesis. Semin Cell Dev Biol 72: 19–32, 2017. doi:10.1016/j.semcdb.2017.11.011.
Crossref | PubMed | Web of Science | Google Scholar - 6. . Satellite cells and skeletal muscle regeneration. Compr Physiol 5: 1027–1059, 2015. doi:10.1002/cphy.c140068.
Crossref | PubMed | Web of Science | Google Scholar - 7. . Lying low but ready for action: the quiescent muscle satellite cell. FEBS J 280: 4036–4050, 2013. doi:10.1111/febs.12372.
Crossref | PubMed | Web of Science | Google Scholar - 8. . The influence of capillarization on satellite cell pool expansion and activation following exercise‐induced muscle damage in healthy young men. J Physiol 596: 1063–1078, 2018. doi:10.1113/JP275155.
Crossref | PubMed | Web of Science | Google Scholar - 9. . Training for skeletal muscle capillarization: a Janus-faced role of exercise intensity? Eur J Appl Physiol 116: 1443–1444, 2016. doi:10.1007/s00421-016-3419-6.
Crossref | PubMed | Web of Science | Google Scholar - 10. . Exercise-induced capillary growth in human skeletal muscle and the dynamics of VEGF. Microcirculation 21: 301–314, 2014. doi:10.1111/micc.12117.
Crossref | PubMed | Web of Science | Google Scholar - 11. . It’s not just about protein turnover: the role of ribosomal biogenesis and satellite cells in the regulation of skeletal muscle hypertrophy. Eur J Sport Sci 19: 952–963, 2019. doi:10.1080/17461391.2019.1569726.
Crossref | PubMed | Web of Science | Google Scholar - 12. . Regulation of ribosome biogenesis in skeletal muscle hypertrophy. Physiology (Bethesda) 34: 30–42, 2019. doi:10.1152/physiol.00034.2018.
Link | Web of Science | Google Scholar - 13. . Ribosome biogenesis is necessary for skeletal muscle hypertrophy. Exerc Sport Sci Rev 44: 110–115, 2016. doi:10.1249/JES.0000000000000082.
Crossref | PubMed | Web of Science | Google Scholar - 14. . Early satellite cell communication creates a permissive environment for long-term muscle growth. iScience 24:
102372 , 2021. doi:10.1016/j.isci.2021.102372.
Crossref | PubMed | Web of Science | Google Scholar - 15. . Ribosome biogenesis adaptation in resistance training-induced human skeletal muscle hypertrophy. Am J Physiol Endocrinol Physiol 309: E72–E83, 2015. doi:10.1152/ajpendo.00050.2015.
Link | Web of Science | Google Scholar - 16. . Impact of resistance exercise on ribosome biogenesis is acutely regulated by post-exercise recovery strategies. Physiol Rep 4:
e12670 , 2016. doi:10.14814/phy2.12670.
Crossref | PubMed | Web of Science | Google Scholar - 17. . Enhanced skeletal muscle ribosome biogenesis, yet attenuated mTORC1 and ribosome biogenesis-related signalling, following short-term concurrent versus single-mode resistance training. Sci Rep 8: 1–21, 2018. doi:10.1038/s41598-017-18887-6.
Crossref | PubMed | Web of Science | Google Scholar - 18. . The effects of age and resistance loading on skeletal muscle ribosome biogenesis. J Appl Physiol (1985) 119: 851–857, 2015. doi:10.1152/japplphysiol.00489.2015.
Link | Web of Science | Google Scholar - 19. . Low-load high volume resistance exercise stimulates muscle protein synthesis more than high-load low volume resistance exercise in young men. PLoS One 5:
e12033 , 2010. doi:10.1371/journal.pone.0012033.
Crossref | PubMed | Web of Science | Google Scholar - 20. . Age-related differences in the dose-response relationship of muscle protein synthesis to resistance exercise in young and old men. J Physiol 587: 211–217, 2009. doi:10.1113/jphysiol.2008.164483.
Crossref | PubMed | Web of Science | Google Scholar - 21. . Skeletal muscle and resistance exercise training; the role of protein synthesis in recovery and remodeling. J Appl Physiol (1985) 122: 541–548, 2017. doi:10.1152/japplphysiol.00613.2016.
Link | Web of Science | Google Scholar - 22. . Dose-response effects of dietary protein on muscle protein synthesis during recovery from endurance exercise in young men: a double-blind randomized trial. Am J Clin Nutr 112: 303–317, 2020. doi:10.1093/ajcn/nqaa073.
Crossref | PubMed | Web of Science | Google Scholar - 23. . Influence of aerobic exercise intensity on myofibrillar and mitochondrial protein synthesis in young men during early and late postexercise recovery. Am J Physiol Endocrinol Physiol 306: E1025–E1032, 2014. doi:10.1152/ajpendo.00487.2013.
Link | Web of Science | Google Scholar - 24. . Changes in human muscle protein synthesis after resistance exercise. J Appl Physiol (1985) 73: 1383–1388, 1992. doi:10.1152/jappl.1992.73.4.1383.
Link | Web of Science | Google Scholar - 25. . Mixed muscle protein synthesis and breakdown after resistance exercise in humans. Am J Physiol Endocrinol Physiol 273: E99–E107, 1997. doi:10.1152/ajpendo.1997.273.1.E99.
Link | Web of Science | Google Scholar - 26. . Acute resistance exercise activates rapamycin-sensitive and -insensitive mechanisms that control translational activity and capacity in skeletal muscle. J Physiol 594: 453–468, 2016. doi:10.1113/JP271365.
Crossref | PubMed | Web of Science | Google Scholar - 27. . Normal ribosomal biogenesis but shortened protein synthetic response to acute eccentric resistance exercise in old skeletal muscle. Front Physiol 9:
1915 , 2018. doi:10.3389/fphys.2018.01915.
Crossref | PubMed | Web of Science | Google Scholar - 28. . Short‐term aerobic conditioning prior to resistance training augments muscle hypertrophy and satellite cell content in healthy young men and women. FASEB J 36:
e22500 , 2022. doi:10.1096/fj.202200398RR.
Crossref | PubMed | Web of Science | Google Scholar - 29. . Suction-modified Bergström muscle biopsy technique: experience with 13,500 procedures. Muscle Nerve 43: 716–725, 2011. doi:10.1002/mus.21945.
Crossref | PubMed | Web of Science | Google Scholar - 30. . Satellite cell number and cell cycle kinetics in response to acute myotrauma in humans: immunohistochemistry versus flow cytometry. J Physiol 588: 3307–3320, 2010. doi:10.1113/jphysiol.2010.190876.
Crossref | PubMed | Web of Science | Google Scholar - 31. . Brain-derived neurotrophic factor is associated with human muscle satellite cell differentiation in response to muscle-damaging exercise. Appl Physiol Nutr Metab 45: 581–590, 2020. doi:10.1139/apnm-2019-0501.
Crossref | PubMed | Web of Science | Google Scholar - 32. . Consistent expression pattern of myogenic regulatory factors in whole muscle and isolated human muscle satellite cells after eccentric contractions in humans. J Appl Physiol (1985) 127: 1419–1426, 2019. doi:10.1152/japplphysiol.01123.2018.
Link | Web of Science | Google Scholar - 33. . Evidence for the contribution of muscle stem cells to nonhypertrophic skeletal muscle remodeling in humans. FASEB J 27: 4596–4605, 2013. doi:10.1096/fj.13-229799.
Crossref | PubMed | Web of Science | Google Scholar - 34. . Satellite cell activity, without expansion, after nonhypertrophic stimuli. Am J Physiol Regul Integr Comp Physiol 309: R1101–R1111, 2015. doi:10.1152/ajpregu.00249.2015.
Link | Web of Science | Google Scholar - 35. . Altered muscle satellite cell activation following 16 wk of resistance training in young men. Am J Physiol Regul Integr Comp Physiol 312: R85–R92, 2017. doi:10.1152/ajpregu.00221.2016.
Link | Web of Science | Google Scholar - 36. . Age‐related changes to the satellite cell niche are associated with reduced activation following exercise. FASEB J 34: 8975–8989, 2020. doi:10.1096/fj.201900787R.
Crossref | PubMed | Web of Science | Google Scholar - 37. . Exercise conditioning in old mice improves skeletal muscle regeneration. FASEB J 30: 3256–3268, 2016. doi:10.1096/fj.201600143RR.
Crossref | PubMed | Web of Science | Google Scholar - 38. . Exercise rejuvenates quiescent skeletal muscle stem cells in old mice through restoration of Cyclin D1. Nat Metab 2: 307–317, 2020. doi:10.1038/s42255-020-0190-0.
Crossref | PubMed | Web of Science | Google Scholar - 39. . Skeletal muscle: a brief review of structure and function. Calcif Tissue Int 96: 183–195, 2015. doi:10.1007/s00223-014-9915-y.
Crossref | PubMed | Web of Science | Google Scholar - 40. . Eccentric exercise increases satellite cell content in type II muscle fibers. Med Sci Sports Exerc 45: 230–237, 2013. doi:10.1249/MSS.0b013e318272cf47.
Crossref | PubMed | Web of Science | Google Scholar - 41. . Cycle training modulates satellite cell and transcriptional responses to a bout of resistance exercise. Physiol Rep 4:
e12973 , 2016. doi:10.14814/phy2.12973.
Crossref | PubMed | Google Scholar - 42. . Fibre type-specific satellite cell response to aerobic training in sedentary adults. J Physiol 592: 2625–2635, 2014. doi:10.1113/jphysiol.2014.271288.
Crossref | PubMed | Web of Science | Google Scholar - 43. . Ribosome biogenesis: emerging evidence for a central role in the regulation of skeletal muscle mass. J Cell Physiol 229: 1584–1594, 2014. doi:10.1002/jcp.24604.
Crossref | PubMed | Web of Science | Google Scholar - 44. . Genetic and epigenetic regulation of skeletal muscle ribosome biogenesis with exercise. J Physiol 599: 3363–3384, 2021. doi:10.1113/JP281244.
Crossref | PubMed | Web of Science | Google Scholar - 45. . Ribosomal DNA copy number is coupled with gene expression variation and mitochondrial abundance in humans. Nat Commun 5: 1–12, 2014. doi:10.1038/ncomms5850.
Crossref | PubMed | Web of Science | Google Scholar - 46. . Synchronous deficits in cumulative muscle protein synthesis and ribosomal biogenesis underlie age-related anabolic resistance to exercise in humans. J Physiol 594: 7399–7417, 2016. doi:10.1113/JP272857.
Crossref | PubMed | Web of Science | Google Scholar