Abstract
Although the signal pathways mediating muscle protein synthesis and degradation are well characterized, the transcriptional processes modulating skeletal muscle mass and adaptive growth are poorly understood. Recently, studies in mouse models of muscle wasting or acutely exercised human muscle have suggested a potential role for the transcription factor signal transducer and activator of transcription 3 (STAT3), in adaptive growth. Hence, in the present study we sought to define the contribution of STAT3 to skeletal muscle adaptive growth. In contrast to previous work, two different resistance exercise protocols did not change STAT3 phosphorylation in human skeletal muscle. To directly address the role of STAT3 in load-induced (i.e., adaptive) growth, we studied the anabolic effects of 14 days of synergist ablation (SA) in skeletal muscle-specific STAT3 knockout (mKO) mice and their floxed, wild-type (WT) littermates. Plantaris muscle weight and fiber area in the nonoperated leg (control; CON) was comparable between genotypes. As expected, SA significantly increased plantaris weight, muscle fiber cross-sectional area, and anabolic signaling in WT mice, although interestingly, this induction was not impaired in STAT3 mKO mice. Collectively, these data demonstrate that STAT3 is not required for overload-mediated hypertrophy in mouse skeletal muscle.
Keywords: STAT3, skeletal muscle, hypertrophy, resistance exercise
skeletal muscle wasting is a hallmark of several diseases, including cancer cachexia, chronic kidney disease (CKD), heart failure, and diabetes (4, 14). These diseases are characterized by elevated levels of circulatory proinflammatory cytokines, which subsequently promote skeletal muscle atrophy (4, 14). Resistance exercise and dietary proteins are key stimuli to offset skeletal muscle wasting, mainly by increasing the rate of protein synthesis via phosphoinositide 3-kinase (PI3K) and mechanistic target of rapamycin complex 1 (mTORC1) pathways (7, 10). Although the transcriptional mechanisms regulating resistance exercise-mediated skeletal muscle hypertrophy are largely unknown, acute resistance exercise has been reported to increases the activity of the transcription factor signal transducer and activator of transcription 3 (STAT3) in human (5, 18–20) and rat skeletal muscle (2). Moreover, mTORC1 can activate STAT3 and promote cell survival and growth in cancer cells (6). Taken together, these studies suggest a potential role for STAT3 in adaptive growth of skeletal muscle, though no studies have directly addressed its contribution to load-induced hypertrophy. To address this gap, we assessed the effects of 2 wk of synergist ablation (SA) on skeletal muscle hypertrophy in mice with skeletal muscle-specific STAT3 knockout (mKO) (21) and their floxed/wild-type (WT) littermates. In addition, we sought to assess the effects of different types of resistance exercise on STAT3 phosphorylation in human skeletal muscle.1
MATERIALS AND METHODS
Human study.
Skeletal muscle samples were obtained from the study recently published by McKendry et al. (9). Briefly, healthy male volunteers performed a single session of leg press-and leg extension resistance exercise [8 sets at 75% of one-repetition maximum (1RM) to volitional failure] with either 1 min (n = 8) or 5 min (n = 8) of interset rest. Skeletal muscle biopsies used in the present study were obtained at rest (Pre), 0 h, and 4 h postexercise (Post). Ethical approval was obtained through the NHS Black Country Research Ethics Committee (13/WM/0455); the study conformed to the standards set forward by the Declaration of Helsinki (7th version).
Animals.
STAT3 mKO mice were generated as previously described (21). All experiments were performed in 11-wk-old male mice, with floxed and Cre negative mice being the WT control mice. Cre expression was controlled by the muscle creatine kinase promoter. Breeding was designed such that all mice were floxed and were either Cre positive or negative (i.e., mice were littermates). Mice were housed under standard conditions with free access to food and water. All experiments were approved by and conducted in accordance with the Animal Care Program at the University of California, San Diego.
Synergist ablation.
Synergist ablation (SA) surgery, which induces overload of the plantaris, was performed as previously described (8). Briefly, mice were anesthetized with 2.5% isoflurane under sterile conditions, and the soleus and gastrocnemius were surgically removed. The contralateral nonoperated leg was used as control (CON). Two weeks after SA, muscles were collected from anesthetized animals.
Immunoblotting.
Plantaris homogenization and immunoblotting were performed as previously described (13), and proteins were detected with a primary antibody to 4E-BP1 (no. 9452, Cell Signaling), p-4E-BP1T37/46 (no. 9459, Cell Signaling), Akt (no. 4691, Cell Signaling), p-AktT308 (no. 2965, Cell Signaling), p-AktS473 (no. 4060, Cell Signaling), p-S6S235/S236 (no. 4858, Cell Signaling), p-S6S240/S244 (no. 5364, Cell Signaling), S6 (no. 2217, Cell Signaling), p-STAT3Y705 (no. 9145, Cell Signaling), STAT3 (no. 9132, Cell Signaling), and myostatin (ab71808, Abcam). Visualization and quantification were performed with G:BOX Chemi XT4 imager using GeneSys and GeneTools software (Syngene UK, Cambridge, UK).
Determination of muscle fiber cross-sectional area.
Muscle cross sections (10 μm) were taken from the muscle midbelly. Sections were first treated with 1% bovine serum albumin and normal goat and mouse serum as blocking agents. Sections were incubated overnight with a polyclonal anti-laminin antibody (dilution 1:1,000; Sigma, St. Louis, MO), and then with a secondary antibody, Alexa Fluor 594 goat anti-rabbit immunoglobulin G (dilution 1:200, Life Technologies, Carlsbad, CA). Slides were mounted with a hard-set mounting medium with DAPI (Vector, Burlingame, CA). Laminin was used to define the fiber perimeter and facilitate fiber area quantification. Sections were imaged with a Leica DM6000 microscope (Leica Microsystems, Buffalo Grove, IL) equipped with a Leica DFC365 FX camera (Leica Microsystems) using a ×10 objective and DAPI and TX2 filter sets. Fiber cross-sectional area (CSA) analysis and calculation were performed in a blinded manner with an automatic custom- written macro in ImageJ (National Institutes of Health, Bethesda, MD). To eliminate neurovascular structures and “optically fused” fibers, only regions with areas between 50 μm2 and 14,000 μm2 with circularity values greater than 0.3 were measured.
Statistical analysis.
Values are expressed as means ± SE (n = 6 muscles per group). Statistical significance was determined via two-way ANOVA with repeated measures and Bonferroni post hoc test. Significance was considered with a P value of <0.05.
RESULTS AND DISCUSSION
To date, the potential role of STAT3 in skeletal muscle adaptive growth is rather descriptive, implying an association between STAT3 activation and skeletal muscle hypertrophy (5, 18–20). To specifically define the contribution of STAT3 to adaptive skeletal muscle growth, we subjected WT and STAT3 mKO mice to a well-established model of skeletal muscle hypertrophy, the SA model. Chronic overload of plantaris significantly increased (4.5-fold) p-STAT3Y705 in WT mice (Fig. 1A). Interestingly, SA also augmented total STAT3 protein abundance in both WT and mKO mice (Fig. 1A). As we (21) and others (16, 24) have previously observed, while STAT3 was ~50% lower in mKO mice, STAT3 was still detected and, consequently, led to a misleading quantification of higher relative p-STAT3Y705 in mKO-CON mice (Fig. 1A). However, our recent paper demonstrated that this “residual” STAT3 protein is from nonmuscle cells, as immunoblotting of isolated muscle fibers revealed essentially complete knockout of STAT3 (21). Thus, we are confident that our model is appropriate for assessing the contribution of myofibril STAT3 to adaptive growth. In fact, SA reduced the relative levels of p-STAT3Y705 in mKO-SA as opposed to the increase observed in WT-SA muscles (Fig. 1A). Both skeletal muscle hypertrophy and regeneration strongly activate STAT3 in satellite cells (15, 17), suggesting that the nonmuscle p-STAT3Y705 detected in mKO potentially reflects the effect of SA on this cell population. Notably, it is possible that satellite cells are contributing nonrecombined DNA (and therefore, STAT3) to the adult myofiber, which could contribute to muscle hypertrophy. While we cannot discount this, we previously demonstrated that STAT3 is not present in isolated myofibers of mature muscle from the mKO mouse (21).
To confirm that resistance exercise activates STAT3 in human skeletal muscle (18), we compared two resistance exercise protocols known to induce myofibrillar protein synthesis and mTORC1 signaling (9). Despite the anabolic response to resistance exercise with both 5 and 1 min of interset rest (9), neither protocol changed p-STAT3Y705 in human skeletal muscle (Fig. 1B). While this contrasts with previous work by Trenerry et al. (18), this difference is likely due to when muscle was sampled after exercise; we sampled muscle immediately and 4 h postexercise, whereas Trenerry et al. found that pSTAT3 peaked 2 h after exercise but returned to baseline by 4 h. Our data do not rule out the activation of STAT3 in human skeletal muscle following resistance exercise; the data further suggest that STAT3 would be transiently activated, as reported by Trenerry et al. (18).
Under control conditions, WT and mKO mice had comparable plantaris mass (Fig. 2, A and B), which is consistent with the lack of effect of STAT3 mKO or inhibition on basal body composition and skeletal muscle mass (21, 24). Interestingly, despite the positive role of STAT3 in skeletal muscle wasting (16, 24), the robust increase in both absolute and relative plantaris mass induced by SA was not impaired in STAT3 mKO mice (Fig. 2, A and B). To specifically assess hypertrophy, we measured average plantaris fiber size, which revealed a comparable increase in muscle fiber CSA in WT-SA and mKO-SA (Fig. 2C). Analysis of fiber size distribution reflected a consistent switch toward a higher proportion of muscle fibers with large CSA and a decrease in smaller muscle fibers (Fig. 2D). However, in line with muscle mass and average CSA data, the effects of SA on fiber size distribution were not different between genotypes (Fig. 2D). Interestingly, Bonetto et al. (3) found that transient STAT3 loss of function promoted hypertrophy both in cultured myotubes and in mouse skeletal muscle, which the authors speculated was dependent on interleukin-6 (IL-6) inhibition. Contrasting this, however, IL-6 knockout mice exhibit normal skeletal muscle fiber CSA under basal conditions and, though not fully understood, adaptive growth appears to be abnormal compared with wild-type mice (15, 22). Therefore, although the effects of transient STAT3 inactivation on adaptive growth and anabolic signaling remain to be studied, our data demonstrate that mice with chronic loss of STAT3 have no impairments in skeletal muscle adaptations to load-induced growth.
To understand whether canonical growth signaling in response to SA was altered by loss of STAT3, we assessed different PI3K and mTORC1 target proteins. SA increased PI3K signaling in both genotypes, as reflected by higher relative phosphorylation levels of AktT308, whereas no effect on mTORC2-mediated AktS473 phosphorylation was observed (Fig. 3A). Furthermore, activation of the mTORC1 pathway was clearly reflected by higher levels of p-S6S235/S236 and p-S6S240/S44, with comparable responses in WT-SA and mKO-SA mice (Fig. 3B). 4E-BP1 (a direct target of mTORC1) phosphorylation was higher in mKO-CON and trended to increase only in WT-SA muscles (Fig. 3C). The higher p-4E-BP1T37/46 and trend to higher p-S6S235/S236 in mKO-CON mice suggest that STAT3 might exert a negative effect on mTORC1 activity. Besides the positive effects of mTORC1 on STAT3 transcriptional activity (6), a possible negative feedback loop has not been fully elucidated. A mechanism for such negative feedback potentially involves STAT3-mediated upregulation of the tumor suppressor phosphatase and tensin homolog, which subsequently inhibits Akt activation (23). Moreover, IL-6-mediated activation of STAT3 is associated with inhibition of mTORC1 signaling (11). However, we did not find changes in Akt phosphorylation; instead, our data suggest that the enhanced 4E-BP1 and S6 phosphorylation observed in mKO-CON does not translate into greater skeletal muscle mass or fiber size. The possible negative feedback mediated by STAT3 on mTORC1 signaling and its biological function requires further investigation.
STAT3 has been shown to indirectly promote myostatin expression and catabolic signaling in the context of skeletal muscle wasting (24). As expected, the protein content of myostatin was strongly reduced by SA, though without additional effects of STAT3 mKO (Fig. 3D). Moreover, similar to studies by others (16, 24), STAT3 KO did not modify basal myostatin protein levels in skeletal muscle (Fig. 3D). While myostatin mRNA levels are downregulated by SA, which implies a transcriptional regulation (12), our data suggest that this is not mediated by STAT3.
Altogether, the present study demonstrates that under basal conditions, genetic deletion of STAT3 does not impact skeletal muscle mass, thus consistent with previous reports demonstrating that STAT3 does not regulate skeletal muscle mass during development or in the absence of pathological stimuli (16, 21, 24). Furthermore, in the context of skeletal muscle hypertrophy, we found that STAT3 is not required for SA-mediated activation of anabolic signaling pathways such as PI3K and mTORC1, nor is it required for skeletal muscle adaptive growth in healthy mice.
GRANTS
This publication was supported in part by a Sir Henry Wellcome Post-doctoral Fellowship (103094/Z/13/Z; to J. Pérez-Schindler), Biotechnology and Biological Sciences Research Council New Investigator Award (BB/L023547/1 to A. Philp), and National Institutes of Health Grant R01 AG043120 (to S. Schenk).
DISCLOSURES
No conflicts of interest, financial or otherwise, are declared by the authors.
AUTHOR CONTRIBUTIONS
J.P.-S., A.P., and S.S. conceived and designed research; J.P.-S., M.C.E., J.M., and L.B. performed experiments; J.P.-S. analyzed data; J.P.-S., A.P., and S.S. interpreted results of experiments; J.P.-S. prepared figures; J.P.-S. and S.S. drafted manuscript; J.P.-S., M.C.E., J.M., L.B., A.P., and S.S. approved final version of manuscript; M.C.E., J.M., L.B., and A.P. edited and revised manuscript.
ACKNOWLEDGMENTS
We thank Sarah Nalbandian and Chandra Inglis at UC San Diego for excellent technical assistance.
Present address: J. Pérez-Schindler, Biozentrum, University of Basel, Basel, Switzerland.
Footnotes
This article is the topic of an Editorial Focus by Adam J. Amorese and Espen E. Spangenburg (1).
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