Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Sestrin prevents atrophy of disused and aging muscles by integrating anabolic and catabolic signals


A unique property of skeletal muscle is its ability to adapt its mass to changes in activity. Inactivity, as in disuse or aging, causes atrophy, the loss of muscle mass and strength, leading to physical incapacity and poor quality of life. Here, through a combination of transcriptomics and transgenesis, we identify sestrins, a family of stress-inducible metabolic regulators, as protective factors against muscle wasting. Sestrin expression decreases during inactivity and its genetic deficiency exacerbates muscle wasting; conversely, sestrin overexpression suffices to prevent atrophy. This protection occurs through mTORC1 inhibition, which upregulates autophagy, and AKT activation, which in turn inhibits FoxO-regulated ubiquitin–proteasome-mediated proteolysis. This study reveals sestrin as a central integrator of anabolic and degradative pathways preventing muscle wasting. Since sestrin also protected muscles against aging-induced atrophy, our findings have implications for sarcopenia.


The control of mass in adult skeletal muscle is determined by a dynamic balance between anabolic and catabolic processes triggered by changes in activity or pathological conditions1. Muscle hypertrophy is associated with increased protein synthesis induced by activated AKT and mammalian target of rapamycin complex 1 (mTORC1) pathways1. Unlike muscle hypertrophy, muscle atrophy always involves a proteostatic shift in favor of catabolic versus anabolic processes1,2. Chief among these implicated catabolic changes is the activation of the autophagy-lysosome and ubiquitin–proteasome pathways, in particular the induction of muscle-specific ubiquitin ligases of the atrophy-related gene family, also known as atrogenes. Atrogenes, which are regulated by FoxO transcription factors (TF), remove proteins and organelles in atrophying fibers, whereas anabolic myofiber growth depends on AKT and mTOR activation3,4,5,6,7. AKT phosphorylates FoxO TF and impedes their nuclear activity, thus suppressing FoxO-dependent atrogene expression8. A complex scenario is thus emerging in which catabolic signaling connects with biosynthetic pathways during muscle atrophy, although little is known about how these connections are established.

Skeletal muscle atrophy is a major health problem and is the consequence of a wide variety of pathological conditions, including inactivity (immobilization or nerve injury), chronic diseases, and neuromuscular disorders. Muscle atrophy also complicates many aging-associated diseases, lowers life quality, and increases mortality. Regardless of the driving origin, muscle atrophy always involves loss of muscle mass, strength, and function1,2. Preventing or reversing muscle atrophy is therefore of the utmost importance, yet the mechanisms driving muscle atrophy are largely unknown.

Through a transcriptomic/bioinformatic screen for potential atrophy regulators, we identify the sestrin genes, particularly sestrin1 (but also sestrin 2), as genes downregulated rapidly in several models of muscle atrophy in vivo, including disuse, denervation, and aging (sarcopenia). Sestrins are a family of stress-inducible metabolic regulators that are conserved throughout metazoans9. Cell-based studies showed that sestrins have an antioxidant function that suppresses reactive oxygen species (ROS)9,10. Genetic studies of Drosophila sestrin (dSesn) revealed that, by activating AMPK, dSesn also functions as negative regulator of dTORC1, leading to several age-related pathologies11. Similar age-associated metabolic defects are also observed in cSesn-mutated Caenorhabditis elegans12. Recent studies indicate that mouse sestrins attenuate obesity-associated metabolic liver diseases, such as insulin resistance and steatohepatitis by suppressing oxidative stress or modulating AMPK/mTORC1 activity10,13,14,15. However, the role of mammalian sestrins in the regulation of muscle mass control is unknown, despite skeletal muscle being the site of maximal sestrin 1 (Sesn1) expression in humans and mice16.

In this study, we have made the surprising observation that not all catabolic activities are enhanced during muscle atrophy; rather, while proteasome activity is induced in response to inactivity, autophagy is blunted. Using sestrin gain-of-function and ablation approaches in mice, we find that sestrin preserves muscle mass and force in atrophying conditions by coordinating anabolic and catabolic pathways. This protective effect extends to age-induced muscle atrophy. Our results reveal that sestrin is a key instructor of skeletal muscle mass.


Sestrins protect from disuse-induced muscle atrophy

Through a bioinformatic analysis of the atrophy-associated transcriptome, we searched for potential growth and atrophy regulators. Sesn1 was identified as one of six genes dysregulated in distinct models of muscle wasting in vivo, such as disuse and denervation (Fig. 1a and Supplementary Data 1). Sesn1 belongs to a conserved stress-inducible family of proteins with antioxidant and metabolic functions, which in vertebrates are encoded by the Sesn1, Sesn2, and Sesn3 loci9. Sesn1, among sestrins, is highly expressed in mammalian skeletal muscle16 (Supplementary Fig. 1a). Considering that sestrins control mTOR and AKT pathways9,11,14,17,18, critical regulators of muscle function1,2, we examined the influence of Sesn1 downregulation on muscle atrophy.

Fig. 1: Sestrins prevent disuse-induced skeletal muscle atrophy.

a Left Venn diagram showing overlap between a gene set of growth and atrophy regulators (see the “Methods” section) and dysregulated genes in immobilized (Imm) or denervated (Den) muscles reported in published muscle atrophy models or identified in our RNAseq comparison. Right Heat map for the six genes dysregulated in all gene sets analyzed. b Analysis of Sesn1 mRNA (left) and protein (right) in tibialis anterior (TA) muscles from non-immobilized (basal) and immobilized (Imm) limbs of WT mice for the indicated number of days (d). c TA muscle weight of and mean TA fiber cross-sectional area (CSA) in Sesn1SkM-Tg mice (overexpressing human Sesn1) and corresponding wild type (WT) mice (Sesn1WT) in basal conditions and after 10 days of limb immobilization. d Force measurements in extensor digitorum longus (EDL) muscle of Sesn1WT and Sesn1SkM-Tg mice in basal conditions and after 10 days of limb immobilization. Charts show force–frequency curves (left) and maximum specific force (maximum force normalized by muscle area) (right). e Weight of TA muscles and mean TA fiber CSA in Sesn2SkM-Tg mice (overexpressing human Sesn2) and corresponding WT mice (Sesn2WT) in basal conditions and after 10 days of limb immobilization. f Force measurements in EDL muscles of Sesn2WT and Sesn2SkM-Tg mice in basal conditions and after 10 days of limb immobilization. Charts show force–frequency curves and maximum specific force. g Histology and muscle force in EDL muscles of young mice transduced with AAV-Sesn1 or AAV-Control followed 4 days later by limb immobilization for 10 additional days. The upper panels show representative images of hematoxylin/eosin (H/E) staining in basal and immobilized muscles. Scale bar = 50 µm. The charts show fiber size (CSA), maximum force, and specific force. h Histology and muscle force in EDL muscles transduced with AAV-Sesn2 or AAV-Control and treated as described in g. Scale bar = 50 µm. All data are shown as mean with SEM. Statistical comparisons by unpaired two-tailed Student's t-test (*p < 0.05 vs. basal conditions). Sample numbers were n = 4–6 mice per group for cf and n = 4 mice per condition for g, h. Source data are provided as a Source Data file.

Sesn1 RNA and protein expression decreased in mouse skeletal muscle after immobilization-induced limb inactivity (Fig. 1b), correlating with muscle atrophy and loss of force (Fig. 1c–f, white and gray charts). To investigate the involvement of Sesn1 in disuse atrophy, we generated transgenic mice overexpressing human Sesn1 (96% homologous to murine Sesn1) in skeletal muscle under the MCK promoter (Sesn1SkM-Tg mice). Sesn1SkM-Tg mice expressed Sesn1 in both fast and slow muscles, without changes in Sesn2 and Sesn3 expression (Supplementary Fig. 1b, c), were of normal weight, and showed no obvious muscle abnormalities under normal conditions when compared to littermate Sesn1WT (wild-type, WT) mice (Supplementary Fig. 1d, e). However, Sesn1SkM-Tg mouse muscle, but not the control Sesn1WT muscle, was strongly protected against all measures of disuse atrophy, including muscle weight, myofiber size, fibrosis index, and force production by the extensor digitorum longus (EDL) (Fig. 1c, d, navy and blue charts, and Supplementary Fig. 1f) and soleus muscles (Supplementary Fig. 1g, navy and blue charts). No changes in myonuclear number were observed (Supplementary Fig. 1h). Importantly, Sesn1 also protected from atrophy induced by denervation, as shown by the preservation of myofiber size and muscle force in Sesn1SkM-Tg mice compared to Sesn1WT mice upon sciatic denervation (Supplementary Fig. 1i, j).

Given the high sequence homology of mammalian sestrins (Sesn1–3), and to discriminate whether the atrophy-preventing effect was specific for Sesn1 or could also be exerted by another sestrin family member, we tested muscle atrophy protection with a transgenic mouse line overexpressing human Sesn2 (92% homologous to murine Sesn2) in skeletal muscle (Sesn2SkM-Tg mice), in comparison to littermate control Sesn2WT mice (Supplementary Fig. 2ac). Sesn2SkM-Tg overexpression provided similar protection from disuse atrophy and force loss (Fig. 1e, f and Supplementary Fig. 2d), indicating that, upon overexpression, Sesn1 and Sesn2 are equally effective at preventing immobilization-induced muscle atrophy.

Transgenic Sesn1/2 expression throughout development has the potential to produce adaptive effects unrelated to sestrin activity that may mask sestrin functions in the adult. To exclude this, we overexpressed Sesn1 and Sesn2 in skeletal muscle of 4-month-old WT mice via adeno-associated virus (AAV) transduction (Supplementary Fig. 2e, f). Consistent with the results from transgenic mice, AAV-based Sesn1 or Sesn2 overexpression in WT muscle also prevented disuse-induced muscle atrophy and weakness (Fig. 1g, h). Sestrins may function as antioxidants through their oxidoreductase activity10,19, prompting us to test the effect of an oxidoreductase-disrupting C130 mutation in Sesn10,19. Overexpression of Sesn1-C130S still impeded disuse muscle atrophy (Supplementary Fig. 2g), indicating that the protective action of sestrin is independent of its antioxidant function.

Loss of Sesn 1 aggravates disuse-induced muscle atrophy

Of the three sestrins, Sesn1 is the main form expressed in muscle10,16,19 (Supplementary Fig. 1a). We therefore analyzed mice deficient in Sesn1 (Sesn1KO mice)20 in comparison to their WT controls. Although these mice showed no detectable alterations in muscle weight, myofiber size, or force under basal conditions (Supplementary Fig. 3ad), they showed more pronounced myofiber atrophy and force loss in EDL and soleus muscles in response to inactivity (Fig. 2a–d). No changes in Sesn2/Sesn3 levels were found in muscles of Sesn1KO mice (Supplementary Fig. 3e); Sesn1 is thus critical for preventing muscle wasting.

Fig. 2: Loss of sestrin1 exacerbates disuse-induced muscle atrophy.

a Mean CSA of TA fibers from WT and Sesn1KO mice in basal conditions and after 10 days of limb immobilization. b TA muscle weight in WT and Sesn1KO mice in basal conditions and after 10 days of limb immobilization. c, d Force measurements in EDL c and soleus d muscles of WT and Sesn1KO mice in basal conditions and after 10 days of limb immobilization. Charts show maximum and specific force (top) and force–frequency curves (bottom). All data are shown as mean with SEM. Comparisons by unpaired two-tailed Student's t-test (*p < 0.05). N = 3–7 mice per genotype and condition. Source data are provided as a Source Data file.

We next evaluated whether sestrin provided equal protection to distinct types of muscle fibers. Disuse muscle atrophy was associated with muscle fiber-type switching from IIA/IIX to IIB fibers in WT mice and in Sesn1SkM-Tg mice (Supplementary Fig. 3f). Preservation of muscle mass upon Sesn1 overexpression and increased atrophy after Sesn1 deletion was observed in type IIA/IIX and type IIB fibers (Supplementary Fig. 3f, g), indicating that sestrin protects against muscle atrophy independently of fiber-type changes.

Sestrin blunts FoxO-dependent atrogenes in disused muscle

To interrogate the mechanistic basis of sestrin-mediated protection against muscle atrophy, we performed RNAseq analysis on control and immobilized TA muscles of all available mouse genotypes: Sesn1SkM-Tg, Sesn2SkM-Tg, and Sesn1KO mice, and their respective WT counterparts. Like other atrophy models21, muscle immobilization enriched gene expression signatures for apoptosis, inflammation, cell-cycle inhibition, and anabolic regulation in all mouse groups (Fig. 3a and Supplementary Data 2). Interestingly, the association between immobilization and anabolic signaling hallmarks (PI3K/AKT/mTORC1 regulation) was strengthened by Sesn1/2 overexpression, whereas these hallmarks correlated negatively with Sesn1 deficiency (Fig. 3a).

Fig. 3: Sestrin blunts FoxO-dependent upregulation of muscle atrogenes.

a Gene set enrichment analysis (GSEA) of immobilization-related genes. Bubble plot of enriched GSEA hallmarks in the dysregulated genes upon 3-day muscle immobilization in WT mice (left). Enrichment plots of the combined PI3K-AKT-MTOR signaling and mTORC1-signaling hallmarks (AKT-MTORC1 signaling) in comparisons of Sesn1/2SkM-Tg vs. WT mice and Sesn1KO vs. WT mice (right). b Bubble plot of enriched transcription factor-binding sites (GSEA) among immobilization-dysregulated genes (left) and the sestrin-regulated gene set defined in Supplementary Fig. 4a (right). c Western blot analysis showing phosphorylation levels of FoxO1, FoxO3, and AKT in muscles of Sesn1WT and Sesn1SkM-Tg mice in basal conditions and after 3 days of immobilization. Representative blots are shown (left) with corresponding quantification. For each experimental condition (basal and immobilization) values of Sesn1SkM-Tg are referred to averaged values for Sesn1WT samples, which were set to one. d Western blot analysis of the phosphorylation levels of FoxO1, FoxO3, and AKT in muscles of Sesn2WT and Sesn2SkM-Tg mice in basal conditions and after 3 days of immobilization. Representative blots are shown (left) with corresponding quantification (right), relatively to Sesn2WT values, as in c. e Atrogin1, MurF1, and Cathepsin L mRNA levels in skeletal muscle from Sesn1WT and Sesn1SkM-Tg mice in basal conditions and after 3 days of immobilization. f Proteasome activity in total homogenates of TA muscles from Sesn1WT and Sesn1SkM-Tg mice in basal conditions and after 3 days of immobilization. g Mean myofiber CSA in TA muscle from Sesn1WT and Sesn1SkM-Tg mice electrotransferred with control vector or with a plasmid encoding constitutively active FoxO3 (C.A. FoxO3) and then immobilized for 10 days. Values are relative to basal conditions. h Mean myofiber CSA in TA muscle from FoxO1,3,4WT and FoxO1,3,4SkM-KO mice in basal conditions and after 10 days of immobilization. All data are shown as mean with SEM. Comparisons by Student's t-test (*p < 0.05). Sample numbers were n = 3–4 mice per group for c, d, n = 3–6 animals for eg and n = 3–5 mice per genotype and condition for h. Source data are provided as a Source Data file.

We also performed a hierarchical clustering analysis to identify genes regulated by both immobilization and sestrins (Supplementary Fig. 4a). We focused on gene clusters whose immobilization-dependent induction was increased or decreased by Sesn overexpression (Clusters A and B) but were behaving contrarily in Sesn1-deficient muscles (Clusters C and D) (Supplementary Fig. 4a and Supplementary Data 3). Intersection between clusters A/C and clusters B/D yielded a gene set (defined as Sestrin-regulated genes) that was highly enriched in canonical pathways implicated in ubiquitin–proteasome-mediated proteolysis, including proteasome subunits and the E3 ubiquitin-ligase atrogenes MuRF1 (Trim63) and Atrogin1 (Fbxo32)6,22,23,24 (Supplementary Fig. 4a and Supplementary Data 3). Other proteostasis pathways, such as macroautophagy-lysosome degradation, were also enriched (Supplementary Fig. 4b). Interestingly, genes regulated by immobilization and sestrins were often found to contain binding sites for FoxO, Myc/Maz, and Sp1 TF (Fig. 3b). FoxO TF-binding sites were highly enriched in atrogenes and autophagy genes present in the sestrin-regulated gene set (Supplementary Fig. 4c, left and right). Of note, a significant overlap was found between sestrin-regulated atrogenes and a previously described list of FoxO-regulated atrogenes24 (Supplementary Fig. 4c, middle). These results are consistent with the former findings that upregulation of atrogenes, particularly Atrogin1 and MuRF1, is directed by FoxO3a and required for muscle atrophy3,6,7,24.

Based on these findings, we examined the status of AKT-FoxO signaling in immobilized muscle of Sesn1/2 transgenic mice. Immobilized muscles of Sesn1SkM-Tg and Sesn2SkM-Tg mice had higher levels of AKT and FoxO3 phosphorylation than WT counterparts (Fig. 3c, d; Supplementary Fig. 5a). Notably, sestrin overexpression in muscle upregulated both PDK1-dependent AKT phosphorylation at Thr308 and mTORC2-dependent phosphorylation at Ser473 (Fig. 3d). Phosphorylation at both sites activates AKT kinase activity, while AKT-mediated phosphorylation of FoxO inhibits its transcriptional activity by retaining it in the cytoplasm8. Consequently, immobilized Sesn1/2SkM-Tg muscle exhibited lower expression of well-known FoxO targets24 such as Atrogin1 and MuRF1 (Fig. 3e and Supplementary Fig. 5b), consistent with reduced FoxO transcriptional activity and with the transcriptome studies (Supplementary Figs. 4b, c and  5c). In contrast, disused muscle of Sesn1KO mice expressed higher levels of these atrogenes (Supplementary Fig. 5d). In line with atrogene-mediated upregulation of ubiquitin–proteasome activity, the immobilization-induced increase in chymotrypsin-like proteasome activity in muscles of WT mice was blunted by sestrin overexpression (Fig. 3f). Conversely, blocking proteasome activity with bortezomib prevented the disuse atrophy in WT mice (Supplementary Fig. 5e). These results suggest that sestrins protect disused muscles from wasting, at least in part, by repressing the induction of FoxO-regulated atrogenes encoding muscle proteolytic enzymes.

Involvement of FoxO in sestrin-mediated muscle protection was confirmed through genetic modulation of FoxO. Muscle-specific overexpression of constitutively active FoxO3 (FoxO3 TM7) abolished the protective effect of Sesn1 against muscle atrophy in Sesn1SkM-Tg mice (Fig. 3g). Contrarily, muscle-specific genetic deletion of all three FoxO genes (FoxO1,3,4SkM-KO triple-knockout mice) (Supplementary Fig. 5f) produced strong protection against inactivity-induced muscle atrophy-like Sesn1/2 overexpression (Fig. 3h, see Fig. 1 for comparison). AKT activation by sestrin thus blocks ubiquitin–proteasome-dependent proteolysis via FoxO-signaling inhibition, subsequently attenuating muscle wasting during disuse.

Sestrin coaxes autophagy by blunting mTORC1 to protect muscle

Gene set enrichment analysis (GSEA) also identified mTORC1-signaling regulation as another hallmark of sestrin modulation in muscle (Fig. 4a). mTORC1 is a major anabolic factor, classically associated with promotion of muscle growth and hypertrophy. Although mTORC1 was originally thought to decline during muscle atrophy1,2, we found sustained—and even increased—mTORC1 activity in immobilized atrophic muscles of non-transgenic mice, as revealed by phosphorylation of the mTORC1 downstream targets S6 and ULK (Fig. 4b). Overexpression of Sesn1 or Sesn2, which restores muscle mass in the disuse condition, strongly inhibited mTORC1 signaling (i.e. reduced S6 and ULK1 phosphorylation) after immobilization (Fig. 4b), whereas Sesn1KO muscle showed constitutive mTORC1-signaling activation even in resting muscle (Supplementary Fig. 6a). Therefore, muscle immobilization unexpectedly conveys mTORC1 activation, whereas sestrins strongly downregulate it.

Fig. 4: Autophagy induction via sestrin-mediated mTORC1 blockade prevents atrophy.

a Bubble plot showing the main molecular hallmarks (GSEA) enriched in the sestrin-regulated gene set defined in Supplementary Fig. 4a. b Western blot analysis and quantification of S6 and ULK1 phosphorylation in muscles from Sesn2WT and Sesn2SkM-Tg mice (left) and in muscles transduced with AAV-Sesn1 or AAV-Control (right) in basal conditions and at 3 days post-immobilization. Values were normalized to basal control conditions. c Western blot analysis and quantification of LC3I and LC3II in TA muscles transduced with AAV-Sesn1 or AAV-Control in basal conditions and at 3 days post-immobilization. Treatment of mice with colchicine or vehicle is indicated. Lower chart shows the fold increase in LC3II content in colchicine-treated versus vehicle-treated mice. d Representative confocal images of 3-day-immobilized TA muscle electrotransferred with a tandem mRFP-GFP-LC3 reporter plasmid to enable detection of autophagosomes (yellow puncta) and autolysosomes (red puncta). The chart shows double RFP+GFP+ puncta as a percentage of total puncta for the indicated genotypes. Scale bar = 5 µm. e Representative confocal images of non-immobilized muscles in WT and Sesn1KO mice treated as in d. The chart shows RFP+GFP+ puncta as a percentage of total puncta. Scale bar = 5 µm. f Mean TA myofiber CSA in basal conditions and at 10 days post-immobilization in muscles transduced with AAV-Control or AAV-Sesn1 and electrotransferred with control short hairpin (sh) or sh targeting TSC2. g Mean TA myofiber CSA in basal conditions and at 10 days post-immobilization in WT mice treated with vehicle (top) or rapamycin (bottom). h Mean TA myofiber CSA in basal conditions and at 10 days post-immobilization in WT mice treated with vehicle or spermidine. i Mean TA myofiber CSA in basal conditions and at 10 days post-immobilization in Atg7WT and Atg7SkM-KO mice transduced with AAV-Control or AAV-hSesn1. All data are shown as mean with SEM. Comparisons by Student's t-test (*p < 0.05 and **p < 0.01 vs. basal). Sample numbers were n = 3 mice per group for b, d, e, n = 3–5 animals for c, f, g, i and n = 4 for h. Source data are provided as a Source Data file.

mTORC1-mediated ULK1 phosphorylation inhibits autophagy13,25, another major protein and organelle degradation pathway. The autophagy pathway was also found in the sestrin-regulated gene set, which included many autophagy-related genes enriched in FoxO TF-binding sites (Supplementary Fig. 4b, c and Supplementary Data 3). Skeletal muscle autophagy flux was determined in vivo using colchicine, which blocks autophagosome degradation26. Colchicine-triggered marked accumulation of the autophagosome marker LC3-II in WT and sestrin-overexpressing muscles (Fig. 4c, left panel, and Supplementary Fig. 6b), indicating that basal autophagy flux is active in all these tissues, being barely affected by Sesn1/2 overexpression in non-disuse conditions. However, muscle immobilization in WT mice strongly decreased colchicine-dependent LC3-II accumulation (Fig. 4c, right panel, and Supplementary Fig. 6c), indicating that autophagy flux was attenuated. Importantly, autophagy flux was preserved in immobilized muscles overexpressing Sesn1 or Sesn2 (Fig. 4c, right panel, and Supplementary Fig. 6c). This observation is consistent with downregulation of mTORC1-dependent ULK1 activation by overexpression of sestrins during immobilization conditions (Fig. 4b). These findings were reinforced by experiments with a tandem fluorescent autophagy flux reporter (mRFP-GFP-LC327) (Fig. 4d). Although mature autolysosomes (red LC3 puncta) were abundant in basal WT muscle, the red LC3 signal was eliminated by muscle immobilization, leaving only yellow puncta (undegraded autophagosomes). Sesn1/2 overexpression substantially preserved the red LC3 puncta during immobilization (Fig. 4d). Conversely, Sesn1KO mice showed impaired autophagy flux already in basal conditions, with reduced colchicine-dependent LC3-II accumulation (Supplementary Fig. 6d) and loss of red LC3 puncta in the reporter assay (Fig. 4e). The defective autophagy in non-immobilized muscle of Sesn1KO mice could be explained by the constitutive mTORC1-dependent ULK1 activation in the absence of sestrin (Supplementary Fig. 6a), since stress-induced sestrin expression inhibits mTORC1 signaling via activation of AMPK28. Consistent with this idea, AMPK activation was readily observed in non-immobilized Sesn1-overexpressing muscle, providing a mechanistic explanation for how sestrin inhibits mTORC1 and activates autophagy (Supplementary Fig. 6e).

We further tested whether sestrin-induced autophagy is important for attenuating disuse atrophy through genetic and pharmacological approaches. Sesn1-mediated protection against disuse atrophy was abolished upon constitutive mTORC1 activation by silencing TSC2, the negative regulator of mTORC129,30,31 (Fig. 4f and Supplementary Fig. 6f). Conversely, rapamycin, which inhibits mTORC1 and induces autophagy32, increased WT muscle autophagy flux (Supplementary Fig. 7a), and substantially attenuated muscle atrophy (Fig. 4g), like sestrins. A similar protective effect against muscle atrophy was exerted by the autophagy inducer spermidine32,33 (Fig. 4h). Autophagy activation through Atg7 overexpression32 also protected myofibers from disuse-induced atrophy (Supplementary Fig. 7b, c), whereas muscle-specific genetic deletion of Atg7 (Atg7SkM-KO) (Supplementary Fig. 7d) nullified Sesn1-mediated protection against disuse-induced muscle atrophy (Fig. 4i). No significant crosstalk between both catabolic activities was observed during muscle immobilization (not shown). Taken together, these data demonstrate that muscle inactivity produces detrimental effects by differentially acting on catabolic mechanisms (i.e. decreasing autophagic while inducing proteasomal pathways). By reversing this concert, sestrins preserve autophagy that is essential for muscle homeostasis, while preventing proteasome overactivation that wastes muscle by majorly driving loss of muscle mass during disuse condition.

Sestrins protect muscle against aging-associated atrophy

We finally investigated whether sestrins can also protect against aging-associated muscle atrophy (sarcopenia). Compared with young mice (4 months old), aged mice (24 months old) showed lower expression of Sesn1 protein in skeletal muscle (Fig. 5a) accompanied by pronounced loss of skeletal muscle force and mass and myofiber atrophy (Fig. 5b–e). All these muscle parameters were improved by transduction of AAV-Sesn1 for one month, including a slight reduction in muscle fibrosis (Fig. 5c–e and Supplementary Fig. 7e), suggesting that sestrin activation presents a promising strategy for protecting against age-associated muscle atrophy and related conditions. No changes in myonuclear number were observed (Supplementary Fig. 7f). Mechanistically, we found that mTORC1 activity is increased in muscles of aged mice and is reduced by Sestrin overexpression (Fig. 5f), correlating with the protection exerted by Sestrin on age-related muscle atrophy.

Fig. 5: Sestrins prevent aging-related muscle atrophy.

a Western blot and quantification of Sesn1 protein levels in skeletal muscle from young (4 months) and old (24 months) mice. b Force–frequency curve of EDL muscles from young and old WT mice. c qPCR of human Sesn1 mRNA in skeletal muscle from 24-month-old mice transduced with AAV-Sesn1 for one month and Sesn1 protein expression by Western blotting in the same muscles (left). Weight of TA muscles from young and old mice transduced with AAV-Sesn1 or AAV-Control for 1 month (right). d Representative H/E staining pictures of TA muscle sections from 24-month-old mice transduced with AAV-Sesn1 or AAV-Control for 1 month and quantification of mean myofiber CSA. Scale bar = 50 µm. e EDL force-frequency curve in 24-month-old mice transduced with AAV-Sesn1 or AAV-Control for 1 month. f Western blot analysis and quantification of phosphorylation levels of p70S6K, S6, and ULK1 in muscles from old mice transduced with AAV-Sesn1 or AAV-Control for 1 month. Representative blots are shown with corresponding quantification. Values were normalized to averaged values of young control mice. g Bubble plot of enriched GSEA hallmarks in the dysregulated genes upon muscle aging (left). Enrichment plots of the PI3K-AKT-MTOR signaling hallmark and the combined PI3K-AKT-MTOR signaling and mTORC1 signaling hallmarks (AKT-MTORC1 signaling) in comparisons of old and young mice (right). h As in g, enrichment plots of the atrogenes gene set in comparisons of old and young mice. i Bubble plot of enriched transcription factor-binding sites (GSEA) in the dysregulated genes upon muscle aging (left). Enrichment plots of the FoxO3a targets in skeletal muscle (as defined in Brocca et al.24) and heatmap illustrating genes with higher enrichment in comparisons of old and young mice (right). All data are shown as mean with SEM. Comparisons by Student's t-test (*p < 0.05). Sample numbers were n = 8 mice per group for a, n = 4–7 mice per condition for b and c, n = 3–5 mice per condition for d and e and n = 3 mice per group for f. Source data are provided as a Source Data file.

Finally, we compared publicly available transcriptomic data of skeletal muscles of young and old mice (GEO: GSE53959)34 to assess for potential gene expression similarities between aged and immobilized muscles. Interestingly, we found that aged-muscle transcriptome was enriched in gene expression signatures for apoptosis, inflammation, cell-cycle inhibition, UV response, Myc targets, and anabolic signaling (PI3K/AKT/mTORC1 regulation) (Fig. 5g). Supporting the existence of commonalities between genes induced by muscle immobilization and aging, the aged muscle transcriptome was found to be also enriched in atrogenes (Fig. 5h), while the upregulated genes contained binding sites for E12, Myc/Maz, Sp1, and FoxO TFs (Fig. 5i). In fact, the transcriptome of old mice was enriched in FoxO and Sestrin-regulated atrogenes24, including the E3 ubiquitin-ligases Atrogin1 and Musa1 (Fbxo30)23 and autophagy-related genes Bnip3 and p62 (Sqstm1) (Fig. 5i). Taken together, these results suggest that, similar to disuse-induce muscle atrophy, sestrins may protect muscle against aging-associated muscle atrophy by coordinating anabolic and catabolic pathways.


Autophagy and ubiquitin–proteasome proteolytic activities have been independently linked to muscle wasting6,31,35. Our analysis combining unbiased transcriptomics and targeted transgenesis approaches has identified an important mechanism for protecting muscle from wasting during disuse and aging. Sestrins, strongly downregulated by disuse, preserve muscle mass by coordinately inhibiting atrophic proteolysis and activating homeostatic autophagy. Sestrins may achieve disuse-induced protection by regulating the balance between distinct growth-associated mTOR complexes, strongly inhibiting mTORC128 while supporting mTORC2 activity14. Through upregulation of AKT, sestrins inhibit FoxO-dependent transcription of atrogenes, which normally promote muscle wasting by accelerating protein degradation. At the same time, through the activation of AMPK and inhibition of mTORC128, sestrins upregulate autophagy, thus maintaining proteostasis and organelle quality for homeostatic preservation of muscle mass and force. Of interest, the protective effect of sestrin was also extended to denervation-induced muscle wasting and age-associated muscle atrophy. The relevance of our data is further supported by recent findings demonstrating reduction of sestrins’ protein levels in muscles of aging human individuals36 including muscles from the frail elderly population37. Future studies should explore the effect of Sestrin/mTOR modulators such as NV-513838 on these conditions. Loss of muscle mass and force significantly affects health, life quality, and even survival. Given their beneficial effects on muscle wasting during disuse and aging, sestrins should be regarded as nodal regulators of mammalian muscle growth with potentially broad applications in the treatment of common catabolic conditions.



The different mouse models used in this study were generated as follows:

The skeletal muscle-specific Sesn1 transgenic mouse model (Sesn1SkM-Tg) was generated in C57BL/6 background and carry a transgene coding for human Sesn1 under the control of MCK promoter. The human Sesn1 cDNA sequence (from LV-Sesn119) was subcloned into the pBluescript-MCK plasmid (a kind gift from Markus Rüegg). A 4 kb PacI digestion fragment was excised, microdialyzed, and microinjected into the pronuclei of fertilized mouse eggs (C57BL/6J × C57BL/6J) at the Mouse Mutant Core Facility, Institute for Research in Biomedicine (Barcelona, Spain). Embryos were implanted into pseudo-pregnant foster females (ICR), and transgenic pups were identified. DNA samples from tail clips of subsequent litters were screened by PCR with primers spanning different sequences of MCK promoter and Sesn1 cDNA (Primer set 1 forward CTGCCCCCGGGTCACCACC reverse TCGATTCAGGTCATATAGCGGGT; Primer set 2 forward CAGGGCTTATACGTGCCTGGGACTC reverse TGTGGGTGGAAAACCATCACTAACG; Primer set 3 forward GCCCCCGGGTCACCACCAAG reverse GGCCAAGCGCATGGATCCTTTTA) that amplified a 1550, 600, and 76 bp fragments, respectively. The transgene was maintained on the C57BL/6J background throughout the study.

The skeletal muscle-specific Sesn2 transgenic mouse model (Sesn2SkM-Tg) was generated by crossing mice that express Sesn2 from a Tet-regulated promoter (provided by Dr. M. Karin, UCSD, San Diego, USA) with mice harboring the skeletal muscle-specific MCK-tTA construct (obtained from Dr. M. Ruegg, Biozentrum, Basel, Switzerland). Non-transgenic littermates (that were WT for Sesn1 and Sesn2 expressions) were used as controls for the two transgenic mouse lines, and named Sesn1WT and Sesn2WT mice, respectively. Sesn1 KO mice were provided by Dr. J.H. Lee (University of Michigan, USA) and analyzed in comparison with normal, control WT mice. Atg7SkM-KO mice were generated as previously described32, and FoxO1,3,4SkM-KO mice were obtained by crossing FoxO1/3/4-floxed mice (a kind gift from Dr. M. Sandri, University of Padova, Italy) with the Pax7Cre line (provided by Dr. M. Capecchi, University of Utah, USA). Non-transgenic littermates (that were WT for FoxO1,3,4 and for Atg7 expression) were used as controls for Atg7SkM-KO mice and for FoxO1,3,4SkM-KO mice, and named Atg7WT and FoxO1,3,4WT mice, respectively. Therefore, Sesn1WT, Sesn2WT, WT, Atg7WT, and FoxO1,3,4WT mice are all equally WT, non-transgenic mice, but each one is used as littermate control of each individual genetically modified mouse line.

Mice were housed in standard cages under 12 h light/dark cycles with ad libitum access to food and water. All experiments were performed on 4–5-month-old male mice. All animal experiments were approved by the Ethics Committee of the Barcelona Biomedical Research Park (PRBB) and performed according to Catalan and European legislation.

Induction of muscle atrophy

The immobilization protocol was performed unilaterally on anesthetized animals as formerly described39. Briefly, the right hindlimb was immobilized with rigid plastic sticks fixed with a medical adhesive bandage. This procedure prevented movement of the immobilized leg alone. Denervation was performed as previously described40. In brief, a 5 mm segment of the sciatic nerve was surgically removed down to the gluteus maximum from the right leg. Mice not subjected to atrophy-promoting conditions were used as controls (Basal). Muscles were removed at 3 or 10 days after atrophy induction and frozen in liquid nitrogen for subsequent analyses.

In vivo gene electrotransfer and AAV injection

Expression plasmids used for electrotransfer studies were purified using a Endofree plasmid kit (Qiagen) and dissolved in 0.9% NaCl. 45 min before electrotransfer, muscles were pretreated with hyaluronidase (10 U/muscle). Afterwards, naked plasmids (60 μg DNA) were injected into the tibialis anterior muscle and 10 pulses of 20 ms each were applied to each hindlimb at 175 V/cm and 1 Hz using an electroporator (ECM 830; BTX). Empty vector was used as control.

AAV for in vivo expression of Sesn1 and Sesn2 were generated and provided by the Virus Production Unit (UPV, UAB, Barcelona). AAVs were diluted in 0.9% NaCl at 0.25*1013 gc/ml and directly injected into muscles (40 µl/TA and 10 µl/EDL and soleus muscles). AAV-GFP was used as a control. Four days after transduction mice were subjected to the immobilization protocol.

Pharmacological treatments

Mice were injected with rapamycin (4 mg/kg body weight) (which induces autophagy) or vehicle (DMSO) intraperitoneally (i.p.) every other day for 2 weeks. Colchicine (which inhibits autophagy) was injected i.p. (0.4 mg/kg*day) 2 days before sacrifice. The proteasome inhibitor Bortezomib (0.1 mg/kg) or vehicle (DMSO) was injected i.p. every other day for 2 weeks. Mice were treated with 3 mM spermidine in drinking water for 2 weeks.

Muscle force measurement

Ex vivo force measurements of EDL and soleus muscles was assessed as previously described41. Briefly, mice were sacrificed, and muscles were immediately excised and placed into a dish containing oxygenated Krebs–Henseleit solution. Muscles were mounted vertically in a temperature controlled (30 °C) chamber and immersed in the Krebs–Ringer bicarbonate buffer solution, with 10 mM glucose, also continuously oxygenated. One end of the muscle was linked to a fixed clamp, while the other end was connected to the lever-arm of an Aurora Scientific Instruments 300B actuator/transducer system, using a nylon thread. The optimum muscle length (Lo) was determined from micromanipulations of muscle length to produce the maximum isometric twitch force. Maximum isometric-specific tetanic force was determined from the plateau of the curve of the relationship between specific isometric force with a stimulation frequency ranging from 1 to 200 Hz. Force was normalized per muscle area (determined by dividing the muscle mass by the product of longitude and the density of muscle (1.06 mg/mm3)) to calculate the specific force (mN/mm2).

Muscle histology and immunohistochemistry

Muscles were embedded in OCT solution (TissueTek), frozen in isopentane cooled with liquid nitrogen and stored at −80 °C until analysis. 10 μm muscle cryosections were collected and stained for hematoxylin/eosin (H/E) or Sirius red (Sigma-Aldrich).

For immunohistochemistry assays, muscle cryosections were examined by standard immunohistochemical procedures for the expression of myosin heavy chain (MHC) isoforms. The primary monoclonal antibodies employed were anti-myosin I (A4.840), anti-myosin IIA (A4.74), and anti-myosin IIB (BF-F3) (Developmental Studies Hybridoma Bank).

Digital images were acquired using the Leica DMR600B microscope equipped with a DFC300FX camera. Fiber type distribution, CSA, and percentage of muscle area positive for Sirius red staining were quantified using Image J software, as previously reported42,43.

For myonuclei quantification, muscle sections were immunostained for dystrophin (1/400), the secondary antibody was coupled to Alexa-488 and nuclei were stained with DAPI (Invitrogen). Images were acquired using a Leica TCS SP5 confocal scanning microscope system.

Fluorescence microscopy analysis of muscle sections

TA muscles were removed, fixed in PFA 2% for 4 h at 4 °C and incubated with 15% sucrose overnight at 4 °C. Then, muscles were embedded in OCT solution (TissueTek), immediately frozen in liquid nitrogen-cooled isopentane and stored at −80 °C. 10 μm cryosections of TA muscle (which has been transfected with mRFP-GFP-LC344) were analyzed using a Leica TCS SP5 confocal scanning microscope system. Colocalization of RFP-LC3 and GFP-LC3 puncta was determined on the maximum projection of 10-z sections. Note: Measuring autophagy flux through this method is based on the concept of lysosomal quenching of GFP. GFP is a stably folded protein and relatively resistant to lysosomal proteases. However, the low pH inside the lysosome quenches the fluorescent signal of GFP, which makes it difficult to trace the delivery of GFP–LC3 to lysosomes. In contrast, RFP exhibits more stable fluorescence in acidic compartments, and mRFP–LC3 can be readily detected in autolysosomes. By exploiting the difference in the nature of these two fluorescent proteins (that is, lysosomal quenching of GFP fluorescence versus lysosomal stability of RFP fluorescence), autophagic flux can be morphologically traced with an mRFP–GFP–LC3 tandem construct. With this tandem construct, autophagosomes and autolysosomes are labeled with yellow (mRFP and GFP) and red (mRFP only) signals, respectively.

RNA isolation, reverse transcription, and quantitative PCR

Total RNA from TA muscles was isolated with QIAzol Lysis Reagent (Qiagen) and quantified with Nanodrop. M-MLV Reverse Transcriptase (Promega) was used to synthesize cDNAs from 1 µg total RNA following the manufacturer’s instructions. RT-qPCR reactions were performed with SYBR Green in 384-well plates using the Roche LC-480 cycler (Roche Applied Science). All data were normalized to L7 expression. Primer sequences are listed in Table 1.

Table 1 Primers used for qPCR.

Transcriptomic analysis

For RNAseq analysis, total RNA from TA muscles was extracted using a protocol combining QIAzol Lysis Reagent and RNAeasy minikit columns (Qiagen) following the manufacturer’s instructions. RNAseq services were provided by the CNIC Genomics Unit, including quality control tests of total RNA using Agilent Bioanalyzer and Nanodrop spectrophotometry. cDNA library preparation and amplification were performed from 200 ng total RNA using NEBNext Ultra RNA Library Prep Kit for Illumina. RNAseq analysis was performed with 3–4 samples per condition, using Illumina Hiseq 2500. Sequencing reads were pre-processed by means of a pipeline that used FastQC, to asses read quality, and Cutadapt 1.7.1 to trim sequencing reads, eliminating Illumina adaptor remains, and to discard reads that were shorter than 30 bp. The resulting reads were mapped against the mouse transcriptome (GRCm38, release 76; aug2014 archive) and quantified using RSEM v1.2.20. Data were then processed with a differential expression analysis pipeline that used Bioconductor package LIMMA for normalization and differential expression testing. For differential expression analysis we filtered for genes that showed at least Log2FC 0.25 (≥+0.25 for upregulation; and ≤−0.25 for downregulation) and an adj. p value < 0.05.

FoxO promoter-reporter assay

TA muscles from Sesn1WT and Sesn1SkM-Tg mice were electrotransferred with a reporter plasmid with three copies of forkhead responsive element linked to the luciferase reporter gene (FHRE-luciferase; Addgene). After 3 days of immobilization, muscles were collected and luciferase activity was measured in muscle homogenates by using Dual-Luciferase Reporter Assay Kit (Promega Corporation, USA). Values were normalized to non-immobilized muscles.

Muscle protein extraction and Western blotting

Total homogenates from skeletal muscle were obtained in IP buffer (50 mM Tris–HCl pH 7.5, 150 mM NaCl, 1% NP-40, 5 mM EGTA, 5 mM EDTA, 20 mM NaF, 25 mM β-glycerophosphate, 0.1 mM sodium vanadate, 1 mM PMSF) supplemented with protease and phosphatase inhibitors (Complete Mini, Roche Diagnostic Corporation; phosphatase inhibitor cocktail, Sigma). Protein concentration was measured using the Bradford method (Protein Assay, Bio-Rad). 40 µg of protein were resolved by SDS–PAGE and transferred to PVDF membranes (Millipore). Membranes were blocked with 5% milk in TBS-T for 1 h and incubated with primary antibodies overnight at 4 °C in 5% BSA in TBS-T (Tubulin 1:4000 and others 1:1000). Proteins were detected by the ECL method and quantified by scanning densitometry. The antibodies used are listed in Table 2. Uncropped versions of all blots shown in figures are supplied in the Source Data File.

Table 2 Antibodies.

Proteasome activity in muscle

Proteasome activity in total homogenates from TA muscles was determined by evaluating the cleavage of specific fluorogenic substrates. Muscles were homogenized in lysis buffer (50 mM Tris–HCl pH 7.5, 250 mM Sucrose, 5 mM MgCl2, 0.5 mM EDTA, 2 mM ATP, and 1 mM DTT) and centrifuged at 12,000 × g for 30 min at 4 °C. The supernatant was collected and protein concentration determined by the method of Bradford. For chymotrypsin-like activity, aliquots of 20 μg protein were incubated for 60 min at 37 °C in the presence of 100 μM of the fluorogenic substrate succinyl-Leu-Leu-Val-Tyr-7-amino-4-methylcoumarin (Suc LLVY-AMC). Each assay was conducted in the absence and presence of the specific proteasomal inhibitor MG132 (Sigma-Aldrich) at 20 μM. Fluorescence was read with a spectrofluorometer (390 nm excitation/460 nm emission; Tecan Infinite M200). The activity was expressed as units of fluorescence per microgram of protein, as a percentage of the control group. All samples were assayed in triplicate using at least four animals.

Bioinformatic analysis

Hierarchical clustering of expression values (after filtering expression values below one in all the samples) was carried out with Morpheus ( using one minus Pearson correlation with a complete linkage. GSEA of Sestrin-regulated genes was performed using GSEA web interface with the Molecular Signatures Database “hallmarks” and “transcription factor binding targets” genesets, to reveal pathways and cis-regulatory motifs which can function as potential transcription factor-binding sites, respectively45. The Java implementation code from the Broad Institute was used for direct GSEA comparisons of the raw data from our RNA-seq experiments or with GEO: GSE5395 data set with the “AKT-MTOR signaling” gene set (generated by combining the “MTORC1 Signaling” and the “PI3K-AKT- MTOR signaling” Molecular Signatures Database hallmarks), the growth and atrophy regulators gene set (assembled by combining the following Gene Ontology categories: positive and negative regulations of insulin-like growth factor receptor signaling pathway, positive and negative regulations of TORC1 signaling and positive and negative regulations of muscle atrophy) and the atrogenes gene set (that was manually curated from selected bibliography1,2,3,4,6,7,22,24). Bubble plots were generated using ggplot2 library in R or Seaborn in Python. Venn diagrams were generated using The BEG Ugent tool (

Statistical analysis

For mouse experiments, no specific blinding method was used, but mice in each sample group were selected randomly. The sample size (n) of each experimental group is described in each corresponding figure legend.

GraphPad Prism software was used for all statistical analyses. Quantitative data displayed as histograms are expressed as means ± standard error of the mean (represented as error bars). Results from each group were averaged and used to calculate descriptive statistics.

Unpaired t-test (independent samples, two-sided) was used for pairwise comparisons among groups at each time point, unless indicated in figure legends. Statistical significance was set at a p < 0.05.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request. Source data used to generate Figs. 15 and Supplementary Figs. 17 are provided in the Source Data file. The RNA-sequencing data have been deposited in the Gene Expression Omnibus (GEO) database under accession code: GSE136866.


  1. 1.

    Egerman, M. A. & Glass, D. J. Signaling pathways controlling skeletal muscle mass. Crit. Rev. Biochem. Mol. Biol. 49, 59–68 (2014).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  2. 2.

    Schiaffino, S. & Mammucari, C. Regulation of skeletal muscle growth by the IGF1-Akt/PKB pathway: insights from genetic models. Skelet. Muscle 1, 4 (2011).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  3. 3.

    Bodine, S. C. et al. Identification of ubiquitin ligases required for skeletal muscle atrophy. Science 294, 1704–1708 (2001).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  4. 4.

    Gomes, M. D., Lecker, S. H., Jagoe, R. T., Navon, A. & Goldberg, A. L. Atrogin-1, a muscle-specific F-box protein highly expressed during muscle atrophy. Proc. Natl Acad. Sci. USA 98, 14440–14445 (2001).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  5. 5.

    Mammucari, C. et al. FoxO3 controls autophagy in skeletal muscle in vivo. Cell Metab. 6, 458–471 (2007).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  6. 6.

    Milan, G. et al. Regulation of autophagy and the ubiquitin-proteasome system by the FoxO transcriptional network during muscle atrophy. Nat. Commun. 6, 6670 (2015).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  7. 7.

    Sandri, M. et al. Foxo transcription factors induce the atrophy-related ubiquitin ligase atrogin-1 and cause skeletal muscle atrophy. Cell 117, 399–412 (2004).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  8. 8.

    Stitt, T. N. et al. 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).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  9. 9.

    Lee, J. H., Budanov, A. V. & Karin, M. Sestrins orchestrate cellular metabolism to attenuate aging. Cell Metab. 18, 792–801 (2013).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  10. 10.

    Ho, A., Cho, C. S., Namkoong, S., Cho, U. S. & Lee, J. H. Biochemical basis of sestrin physiological activities. Trends Biochem. Sci. 41, 621–632 (2016).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  11. 11.

    Lee, J. H. et al. Sestrin as a feedback inhibitor of TOR that prevents age-related pathologies. Science 327, 1223–1228 (2010).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Yang, Y. L. et al. SESN-1 is a positive regulator of lifespan in Caenorhabditis elegans. Exp. Gerontol. (2013).

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Kim, J., Kundu, M., Viollet, B. & Guan, K. L. AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1. Nat. Cell Biol. 13, 132–141 (2011).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  14. 14.

    Lee, J. H. et al. Maintenance of metabolic homeostasis by Sestrin2 and Sestrin3. Cell Metab. 16, 311–321 (2012).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  15. 15.

    Tao, R., Xiong, X., Liangpunsakul, S. & Dong, X. C. Sestrin 3 protein enhances hepatic insulin sensitivity by direct activation of the mTORC2-Akt signaling. Diabetes 64, 1211–1223 (2015).

    CAS  PubMed  Article  Google Scholar 

  16. 16.

    Peeters, H. et al. PA26 is a candidate gene for heterotaxia in humans: identification of a novel PA26-related gene family in human and mouse. Hum. Genet. 112, 573–580 (2003).

    CAS  PubMed  Article  Google Scholar 

  17. 17.

    Byun, J. K. et al. A positive feedback loop between Sestrin2 and mTORC2 Is required for the survival of glutamine-depleted lung cancer cells. Cell Rep. 20, 586–599 (2017).

    CAS  PubMed  Article  Google Scholar 

  18. 18.

    Wolfson, R. L. et al. Sestrin2 is a leucine sensor for the mTORC1 pathway. Science 351, 43–48 (2016).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

  19. 19.

    Budanov, A. V., Sablina, A. A., Feinstein, E., Koonin, E. V. & Chumakov, P. M. Regeneration of peroxiredoxins by p53-regulated sestrins, homologs of bacterial AhpD. Science 304, 596–600 (2004).

    ADS  CAS  PubMed  Article  Google Scholar 

  20. 20.

    Lanna, A. et al. A sestrin-dependent Erk-Jnk-p38 MAPK activation complex inhibits immunity during aging. Nat. Immunol. 18, 354–363 (2017).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  21. 21.

    Calura, E. et al. Meta-analysis of expression signatures of muscle atrophy: gene interaction networks in early and late stages. BMC Genomics 9, 630 (2008).

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  22. 22.

    Lecker, S. H. et al. Multiple types of skeletal muscle atrophy involve a common program of changes in gene expression. FASEB J. 18, 39–51 (2004).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  23. 23.

    Sartori, R. et al. BMP signaling controls muscle mass. Nat. Genet. 45, 1309–1318 (2013).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  24. 24.

    Brocca, L. et al. FoxO-dependent atrogenes vary among catabolic conditions and play a key role in muscle atrophy induced by hindlimb suspension. J. Physiol. 595, 1143–1158 (2017).

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  25. 25.

    Jung, C. H. et al. ULK-Atg13-FIP200 complexes mediate mTOR signaling to the autophagy machinery. Mol. Biol. Cell 20, 1992–2003 (2009).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Ju, J. S., Varadhachary, A. S., Miller, S. E. & Weihl, C. C. Quantitation of “autophagic flux” in mature skeletal muscle. Autophagy 6, 929–935 (2010).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  27. 27.

    Kimura, S., Noda, T. & Yoshimori, T. Dissection of the autophagosome maturation process by a novel reporter protein, tandem fluorescent-tagged LC3. Autophagy 3, 452–460 (2007).

    CAS  Article  Google Scholar 

  28. 28.

    Budanov, A. V. & Karin, M. p53 target genes sestrin1 and sestrin2 connect genotoxic stress and mTOR signaling. Cell 134, 451–460 (2008).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Inoki, K., Li, Y., Xu, T. & Guan, K. L. Rheb GTPase is a direct target of TSC2 GAP activity and regulates mTOR signaling. Genes Dev. 17, 1829–1834 (2003).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Tee, A. R., Manning, B. D., Roux, P. P., Cantley, L. C. & Blenis, J. Tuberous sclerosis complex gene products, Tuberin and Hamartin, control mTOR signaling by acting as a GTPase-activating protein complex toward Rheb. Curr. Biol. 13, 1259–1268 (2003).

    CAS  PubMed  Article  Google Scholar 

  31. 31.

    Castets, P. et al. Sustained activation of mTORC1 in skeletal muscle inhibits constitutive and starvation-induced autophagy and causes a severe, late-onset myopathy. Cell Metab. 17, 731–744 (2013).

    CAS  Article  Google Scholar 

  32. 32.

    Garcia-Prat, L. et al. Autophagy maintains stemness by preventing senescence. Nature 529, 37–42 (2016).

    ADS  CAS  PubMed  Article  Google Scholar 

  33. 33.

    Morselli, E. et al. Spermidine and resveratrol induce autophagy by distinct pathways converging on the acetylproteome. J. Cell Biol. 192, 615–629 (2011).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  34. 34.

    Barns, M. et al. Molecular analyses provide insight into mechanisms underlying sarcopenia and myofibre denervation in old skeletal muscles of mice. Int. J. Biochem. Cell Biol. 53, 174–185 (2014).

    CAS  PubMed  Article  Google Scholar 

  35. 35.

    Masiero, E. et al. Autophagy is required to maintain muscle mass. Cell Metab. 10, 507–515 (2009).

    CAS  PubMed  Article  Google Scholar 

  36. 36.

    Zeng, N., D’Souza, R. F., Mitchell, C. J. & Cameron-Smith, D. Sestrins are differentially expressed with age in the skeletal muscle of men: a cross-sectional analysis. Exp. Gerontol. 110, 23–34 (2018).

    CAS  PubMed  Article  Google Scholar 

  37. 37.

    Rai, N. et al. Exploration of novel anti-oxidant protein sestrin in frailty syndrome in elderly. Aging Dis. 9, 220–227 (2018).

    PubMed  PubMed Central  Article  Google Scholar 

  38. 38.

    Kato, T. et al. Sestrin modulator NV-5138 produces rapid antidepressant effects via direct mTORC1 activation. J. Clin. Invest. 129, 2542–2554 (2019).

    PubMed  PubMed Central  Article  Google Scholar 

  39. 39.

    Madaro, L., Smeriglio, P., Molinaro, M. & Bouche, M. Unilateral immobilization: a simple model of limb atrophy in mice. Basic Appl. Myol. 18, 149–153 (2008).

    Google Scholar 

  40. 40.

    Serrano, A. L. et al. Calcineurin controls nerve activity-dependent specification of slow skeletal muscle fibers but not muscle growth. Proc. Natl Acad. Sci. USA 98, 13108–13113 (2001).

    ADS  CAS  PubMed  Article  PubMed Central  Google Scholar 

  41. 41.

    Del Prete, Z., Musaro, A. & Rizzuto, E. Measuring mechanical properties, including isotonic fatigue, of fast and slow MLC/mIgf-1 transgenic skeletal muscle. Ann. Biomed. Eng. 36, 1281–1290 (2008).

    PubMed  Article  PubMed Central  Google Scholar 

  42. 42.

    Vidal, B. et al. Fibrinogen drives dystrophic muscle fibrosis via a TGFbeta/alternative macrophage activation pathway. Genes Dev. 22, 1747–1752 (2008).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  43. 43.

    Ardite, E. et al. PAI-1-regulated miR-21 defines a novel age-associated fibrogenic pathway in muscular dystrophy. J. Cell Biol. 196, 163–175 (2012).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  44. 44.

    Zhu, J., Dagda, R. K. & Chu, C. T. Monitoring mitophagy in neuronal cell cultures. Methods Mol. Biol. 793, 325–339 (2011).

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  45. 45.

    Subramanian, A. et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl Acad. Sci. USA 102, 15545–15550 (2005).

    ADS  CAS  PubMed  PubMed Central  Article  Google Scholar 

Download references


We thank members of our laboratory for discussions, and specially V. Lukesova, M. Raya, and J.M. Ballesteros for technical and logistic help, and J.M. López Martí for bioinformatic analysis support. We are greatly indebted to C. Keller and M. Capecchi for Pax–Cre mouse lines, E. Masliah and K. Kosberg for Atg7 lentivirus, A. Webb for FoxO lentivirus; J. Martín-Caballero (PRBB Animal Facility) and J.M. Ballestero for excellent animal care, the CRG/UPF Microscopy Facility, A. Dopazo (CNIC Genomics Unit) and Fátima Sánchez-Cabo (CNIC Bioinformatics Unit), M. Martínez-Vicente for advice on macroautophagy, and S. Bartlett for editorial support. The authors acknowledge funding from the Spanish Ministry of Science, Innovation and Universities, Spain (grants SAF2015-67369-R, RTI2018-096068-B-I00, and SAF 2015-70270-REDT, a María de Maeztu Unit of Excellence award to UPF [MDM-2014-0370], and the UPF-CNIC collaboration agreement, ERC-2016-AdG-741966, La Caixa-HEALTH (HR17-00040), MDA, UPGRADE-H2020-825825, AFM and DPP-E. The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia, Innovación y Universidades (MCNU) and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-0505). Work was also supported by the Ellison Medical Foundation (AG-SS-2440-10 to M.K. and AG-NS-0932-12 to J.H.L.), NIH (R01DK114131, R01DK111465, and R01DK102850 to J.H.L.), CARIPARO and H2020-MSCA-RISE-2014 (to M.S.), and the Russian Science Foundation (Grant 17-14-01420 to A.V.B.). J.S. acknowledges funding from a Juan de La Cierva Postdoctoral Fellowship.

Author information




J.S., E.P., A.L.S., P.S-V., L.O., M.J. and D.M.T. performed experiments. E.P. performed bioinformatics analyses. M.K., M.S., L.G-P. and J.H.L. provided several mouse strains. A.V.B. provided some sestrin-related reagents. J.S. and P.M-C., conceived and designed the project. J.S., E.P., A.L.S. and P.M-C. designed experiments and analyzed and interpreted data. J.S. and P.M-C. wrote the manuscript. E.P. and A.L.S. extensively and critically revised the manuscript. All authors commented on the manuscript and approved it.

Corresponding author

Correspondence to Pura Muñoz-Cánoves.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Segalés, J., Perdiguero, E., Serrano, A.L. et al. Sestrin prevents atrophy of disused and aging muscles by integrating anabolic and catabolic signals. Nat Commun 11, 189 (2020).

Download citation

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing