ACS Chemical Biology2023Full TextOpen Access

Synthetic ERRα/β/γ Agonist Induces an ERRα-Dependent Acute Aerobic Exercise Response and Enhances Exercise Capacity

Cyrielle Billon, Sadichha Sitaula, Subhashis Banerjee et al.

42 citations2023Open Access — see publisher for license terms1 related compound

Research Article — Peer-Reviewed Source

Original research published by Billon et al. in ACS Chemical Biology. Redistributed under Open Access — see publisher for license terms. MedTech Research Group provides these references for informational purposes. We do not conduct original research. All studies are the work of their respective authors and institutions.

Abstract

Repetitive physical exercise induces physiological adaptations in skeletal muscle that improves exercise performance and is effective for the prevention and treatment of several diseases. Genetic evidence indicates that the orphan nuclear receptors estrogen receptor-related receptors (ERRs) play an important role in skeletal muscle exercise capacity. Three ERR subtypes exist (ERRα, β, and γ), and although ERRβ/γ agonists have been designed, there have been significant difficulties in designing compounds with ERRα agonist activity. Additionally, there are limited synthetic agonists that can be used to target ERRs <i>in vivo</i>. Here, we report the identification of a synthetic ERR pan agonist, SLU-PP-332, that targets all three ERRs but has the highest potency for ERRα. Additionally, SLU-PP-332 has sufficient pharmacokinetic properties to be used as an <i>in vivo</i> chemical tool. SLU-PP-332 increases mitochondrial function and cellular respiration in a skeletal muscle cell line. When administered to mice, SLU-PP-332 increased the type IIa oxidative skeletal muscle fibers and enhanced exercise endurance. We also observed that SLU-PP-332 induced an ERRα-specific acute aerobic exercise genetic program, and the ERRα activation was critical for enhancing exercise endurance in mice. These data indicate the feasibility of targeting ERRα for the development of compounds that act as exercise mimetics that may be effective in the treatment of numerous metabolic disorders and to improve muscle function in the aging.

Full Text
01

Abstract

ABSTRACT: Repetitive physical exercise induces physiological adaptations in skeletal muscle that improves exercise performance and is effective for the prevention and treatment of several diseases. Genetic evidence indicates that the orphan nuclear receptors estrogen receptor-related receptors (ERRs) play an important role in skeletal muscle exercise capacity. Three ERR subtypes exist (ERR α , β , and γ ), and although ERR β / γ agonists have been designed, there have been significant difficulties in designing compounds with ERR α agonist activity. Additionally, there are limited synthetic agonists that can be used to target ERRs in vivo . Here, we report the identification of a synthetic ERR pan agonist, SLU-PP-332, that targets all three ERRs but has the highest potency for ERR α . Additionally, SLU-PP-332 has sufficient pharmacokinetic properties to be used as an in vivo chemical tool. SLU-PP-332 increases mitochondrial function and cellular respiration in a skeletal muscle cell line. When administered to mice, SLU-PP-332 increased the type IIa o x idative skeletal muscle fibers and enhanced exercise endurance. We also observed that SLU-PP-332 induced an ERR α -specific acute aerobic exercise genetic program, and the ERR α activation was critical for enhancing exercise endurance in mice. These data indicate the feasibility of targeting ERR α for the development of compounds that act as exercise mimetics that may be effective in the treatment of numerous metabolic disorders and to improve muscle function in the aging.

02

INTRODUCTION

Lack of physical activity is a substantial contributor to the development and progression of chronic diseases, including obesity, type 2 diabetes, cardiovascular disease, osteoporosis, dementia, and cancer. 1 E x ercise is an effective treatment for many chronic diseases, including obesity and type 2 diabetes, 2 and when exercise is combined with dietary modifications, this treatment can be more effective than currently available pharmacological therapies. 3 Even a single bout of exercise improves whole-body insulin sensitivity for up to 48 h after exercise cessation. 4 Furthermore, a single bout of exercise can increase basal energy expenditure beyond the point of exercise termination. 5 Physical exercise is generally classified as either aerobic (endurance-based high-frequency repetition with relatively low load) or anaerobic exercise (resistance, strength-based low-frequency repetition with relatively high load). The skeletal muscle is one of the primary tissues that adapt to exercise in order to physically and metabolically acclimatize to the increase in utilization. Physical exercise triggers dramatic changes in skeletal muscle gene and protein expression that drive these physiological adaptations. E x ercise provides for improved muscle function (strength), and endurance can be detected after single bouts of exercise (acute exercise) and repeated bouts of exercise (training). 6 Both aerobic and anaerobic/resistance exercise are effective in preventing and treating obesity and diabetes, but each induces distinct physiological adaptations within the skeletal muscle. One of the key adaptations of skeletal muscle that occurs in response to aerobic exercise is an increased o x idative capacity of the tissue via elevated mitochondrial respiratory capacity, which allows for more efficient energy production and improved exercise endurance. 7 The estrogen receptor-related orphan receptors (ERR α , ERR β , and ERR γ ) were the first orphan nuclear receptors to be identified. 8 As their moniker indicates, they are homologous to estrogen receptors (ER α and ER β ); however, they do not bind endogenous ER ligands. While ERs require ligand binding to display transcriptional activity, all three ERRs exhibit ligand-independent constitutive transcriptional activation activity. 9 ERRs are highly expressed in tissues with high energy demand such as skeletal muscle, heart, brain, adipose tissue, and liver. 8 , 10 , 11 A range of target genes whose transcription is activated by ERRs have been identified that includes enzymes and regulatory proteins in energy production pathways involved in fatty acid o x idation, the tricarbo x ylic acid (TCA) cycle, mitochondrial biogenesis, and oxidative phosphorylation. 12 , 13 Although the ERR α -null mice are susceptible to heart failure under stress, 14 they can be maintained to investigate ERR α function. A skeletal muscle-specific deletion of ERR α yielded mice that displayed reduced mitochondrial biogenesis and impaired repair. 15 A later study using the whole-body ERR α -null mice showed that they had decreased muscle mass and decreased exercise endurance that was associated with impaired metabolic transcriptional programs in the skeletal muscle. 16 A genetic gain of function mouse model with ERR γ overexpressed in the skeletal muscle is consistent with these data, with the mice displaying increased mitochondrial biogenesis and lipid oxidation. 17 Interestingly, these mice also displayed an increase in oxidative muscle fibers and increased exercise endurance without endurance training. 17 Rangwala et al. reported similar results with overexpression of ERR γ in muscle, and additionally, this group also demonstrated that loss of one copy of ERR γ resulted in decreased exercise capacity and mitochondrial function. 18 ERR β levels are considerably lower than either ERR α or ERR γ in skeletal muscle, and thus ERR β appears to have minimal, if any, relevance in this tissue. 19 It has been suggested that ERR α is an intractable drug target based on the collapsed putative ligand binding pocket and lack of success of several high-throughput screening campaigns as well as the failures of structure-based drug design efforts based on the homology of ERR α to ERR γ . 20 Based on the observation that skeletal muscle-specific ERR α KO mice as well as the ERR α inverse agonist-treated mice display decreased exercise tolerance, 16 we sought to identify ERR α agonists that might act as exercise mimetics.

03

RESULTS AND DISCUSSION

Characterization of SLU-PP-332 as a Novel Pan ERR Agonist with Potent ERR α Activity. The identification of the compound C29 as an ERR α inverse agonist 21 , 22 suggested that ERR α may not be an intractable drug target. However, as an inverse agonist, C29 acts to block the constitutive transcriptional activation activity of ERR α , and it is uncertain if one could design a small molecule that could act as an ERR α agonist enhancing the strong constitutive activity of the receptor. Using a rational drug design approach, we optimized the ERR β / γ selective agonist scaffold, GSK4716, for ERR α activity and gained 50-fold ERR α potency. We utilized the X-ray crystal structure of the ligand binding domain (LBD) of ERR γ bound to GSK4716 ( Figures 1A , B and S1 ) (PDB ID: 2GPP) 23 and subsequently modeled GSK4716 bound to the LBD ERR α in order to assess how we might optimize such binding to design an ERR α agonist ( Figure 1C ). In contrast to the first report of GSK4716 displaying no ERR α activity, we observed very weak agonist activity in an ERR cotransfection assay ( Figure 1F ) and believed that the GSK4716 scaffold may be useful as an initiation point to develop high-affinity ERR α agonists. The X-ray structure of ERR γ LBD bound to GSK4716 is the only X-ray crystal structure for any ERR bound with an agonist ligand ( Figure 1B ). 23 In this structure, the agonist GSK4716 binds in a previously unidentified pocket dubbed the “agonist” pocket near the solvent-exposed surface of the receptor ( Figure S1 ). 23 The phenolic hydroxyl group of GSK4716 interacts with Asp328 ( Figure 1B ) while the carbonyl of the acyl hydrazone bridges to two water molecules, one of which interacts with Arg316 and the other water molecule interacts with Leu309 ( Figure S1 ). Molecular modeling of GSK4716 in the LBD of ERR α followed by energy minimization to refine the protein–ligand complexes reveals similar interactions to that observed with ERR γ X-ray crystal structure ( Figure 1C ). Our strategy to design high-affinity ERR α agonists was based on optimizing ligand interactions with Phe328 that is specifically in ERR α . We employed a strategy to optimize GSK4716 based on converting the isopropyl phenyl group of GSK4716 to a more hydrophobic moiety that could potentially gain affinity by interacting with the Phe328 in ERR α . Molecular modeling of a compound with a naphthalene substituent in place of the isopropyl phenyl group (SLU-PP-332; Figure 1A bottom and Figures 1C , S1 , and S2 ) in the LBD of ERR γ and ERR α predicted the newly added phenyl group to make π – π interactions with Phe435 (ERR γ ) or Phe495 and Phe328 (ERR α ). We hypothesized that this modification would improve the affinity of the ligand in both receptors, but particularly toward ERR α due to a potential π – π stacking interaction between the ligand naphthalene group and Phe328 (the corresponding alanine residue in ERR β and ERR γ is unable to make such interactions). As predicted, SLU-PP-332 gained substantial ERR α potency vs GSK4716 in addition to a moderate increase in potency for ERR γ in a full-length ERR cell-based cotransfection/reporter assay ( Figure 1F vs Figure 1G ) (SLU-PP-332: ERR α EC 50 = 98 nM, ERR β = 230 nM, ERR γ = 430 nM vs GSK4716: ERR α EC 50 &gt; 5000 nM, ERR β &gt; 5000 nM, ERR γ = 1200 nM). SLU-PP-332 displayed a degree of ERR α selectivity with 4.4-fold selectivity for ERR α over ERR γ and 2.3-fold ERR α over ERR β . SLU-PP-332 also displayed activity at all ERRs in a Gal4-ERR LBD chimeric cotransfection assay, and similar to the full-length ERR cotransfection assays, SLU-PP-332 was more potent at ERR α than ERR β and ERR γ ( Figure S3A ). SLU-PP-332 was selective for the ERRs as it did not alter the activity of either ER α or ER β , or other nuclear receptors in cotransfection assays ( Figure S3B ). Direct binding of SLU-PP-332 to ERR α was confirmed by limited proteolysis, where the LBD is subjected to chymotrypsin in the presence and absence of SLU-PP-332, and the ability of the drug to “protect” fragments of the LBD from digestion due to a conformational change in the LBD is detected. 24 – 26 As shown in Figure S3C , SLU-PP-332 dosedependently protects a fragment of the ERR α from protease digestion, consistent with direct binding of the drug to ERR α . Direct binding of SLU-PP-332 to ERR γ was also confirmed using differential scanning fluorimetry, where the compound dose-dependently increased the thermal stability of the purified ERR γ LBD ( Figure S3D ). Unfortunately, ERR α did not function well in the differential scanning fluorimetry assay, and ERR γ did not function in the limited proteolysis assay, and thus we were unable to obtain biochemical data from these two receptors in the identical biochemical assay. Although it is not clear why both receptors did not function in the same biochemical assay, we have observed for a number of nuclear receptors that they do necessarily function well in these biochemical assay

04

SLU-PP-332 Increases the Expression of an ERR Target Gene and Enhances Mitochondrial Respiration in C2C12 Myocytes.

We next examined whether SLU-PP-332 could increase the expression of an ERR target gene in the C2C12 myoblast cell line. We noted a clear increase in the expression of a well-characterized ERR target gene, pyruvate dehydrogenase kinase 4 ( Pdk4 ), 29 – 31 with SLU-PP-332 treatment ( Figure 1H ) with efficacy very similar to that observed in the cotransfection assay ( Figure 1G ). Overexpression of ERR γ in C2C12 myocytes has been demonstrated to enhance mitochondrial respiration, and pharmacological inhibition of ERR α suppresses mitochondrial respiration in these cells; 17 , 32 thus, we hypothesized that SLU-PP-332 would enhance mitochondrial respiration. Proliferating C2C12 cells treated with SLU-PP-332 for 24 h exhibited an increase in maximum mitochondrial respiration relative to cells treated with vehicle ( Figures 1I and S4 ). Furthermore, we observed that SLU-PP-332 treatment substantially induced mitochondrial biogenesis in proliferating C2C12 cells based on staining with MitoTracker Red ( Figure 1J ).

05

SLU-PP-332 Enhances Exercise Endurance in Mice.

We sought to determine if SLU-PP-332 could potentially be used as a chemical probe to evaluate the activation of ERR function in vivo ; thus, we first assessed in vivo exposure after intraperitoneal (i.p.) administration in mice ( Figure 2A ). Mice were administered SLU-PP-332 (30 mg/kg, i.p.), and plasma and muscle were collected 2- and 6 h post administration and analyzed by mass spectrometry. Two hours after administration, levels of SLU-PP-332 were highest in skeletal muscle (∼0.6 μ M), while levels in the plasma were lower (∼0.2 μ M) ( Figure 2A ). We observed no overt toxicity in mice administered SLU-PP-332 (50 mg/kg b.i.d., i.p.) for 10 days which is consistent with the normal complete blood count and electrolyte levels 33 ( Table S1 ). We also observed no significant alterations in serum creatine kinase, suggesting a lack of skeletal muscle toxicity ( Figure S5 ). We next examined the effects of chronic SLU-PP-332 treatment on muscle physiology and function. Three-month-old C57BL/6J mice were administered SLU-PP-332 for 15 days (50 mg/kg, b.i.d., i.p.), followed by an examination of quadricep muscle histology. To increase drug exposure in the efficacy studies experiment, we increased the dose to 50 mg/kg. To avoid the effect of ERR on facultative thermogenesis and cold tolerance, 34 we maintained the mice at thermoneutrality (30 °C). Histology was performed on unfixed muscle and stained for hematoxylin and eosin ( Figure S6A ) and succinate dehydrogenase (SDH) activity ( Figure 2B ). Mice treated with SLU-PP-332 displayed a more oxidative muscle phenotype (greater SDH staining) ( Figure 2B ). We also assessed expression of key proteins within the oxidative phosphorylation complexes and observed an increase in complex I (NDUFB8) and complex V (ATP5A) expression in the gastrocnemius muscle in response to SLU-PP-332 treatment ( Figure 2C ). Consistent with these observations, we also observed an increase in cytochrome c protein expression in response to SLU-PP-332 treatment in the gastrocnemius muscle ( Figure 2D ). Sections were also stained for laminin and consistent with an increased oxidative phenotype as the myofibers were smaller in diameter 35 in SLU-PP-332-treated mice ( Figure 2E ). Electron micrographs of the quadriceps display an increase in mitochondria content in muscles from drug-treated mice compared to vehicle-treated ( Figure 2F ). Mitochondrial DNA concentrations in the skeletal muscle were also increased (relative to nuclear DNA) consistent with an increase in mitochondrial number ( Figure 2G ). We also noted that SLU-PP-332 treatment resulted in increased oxidative type IIa muscle fibers ( Figure 2H , I ) consistent with the increased expression of Myosin IIA protein by western blot ( Figure 2J ). This observation aligned with an increase in expression of Myh6 , which encodes a myosin heavy chain subtype that is associated with type IIa muscle fibers 36 ( Figure 2K ). These data indicate that pharmacological activation of ERRs leads to an increased oxidative capacity of skeletal muscle and an increase in type IIa muscle fibers and suggested that treatment of mice with SLU-PP-332 may lead to an increase in exercise endurance. To assess this, we treated sedentary mice with SLU-PP-332 or vehicle for 7 days (b.i.d., i.p. 50 mg/kg) and subjected them to exercise until exhaustion on a rodent treadmill. Plasma glucose levels were monitored following the exercise to confirm exhaustion ( Figure S6B ). As shown in Figure 2L , mice treated with the ERR agonist were able to run ∼70% longer and ∼45% further than vehicle-treated mice. In a separate study, where sedentary mice were treated in an identical manner except longer duration (2 weeks), we noted an increase in grip strength as well ( Figure 2M ). In order to assess alterations in gene expression due to drug treatment, we prepared RNA/cDNA from gastrocnemius and quadricep muscles from mice treated with SLU-PP-332 or vehicle (50 mg/kg, b.i.d., i.p., 10 days). Muscles were obtained 3 h post the final administration, and global changes in gene expression were assessed by RNA-Seq. We observed 442 differentially expressed genes (DEGs) in the quadricep muscle vs 238 DEGs in the gastrocnemius muscle (FDR &lt; 0.05, |fold change (FC)| &gt; 1.5) ( Figure 3A , B and Supporting Information Part 2 ). There was a significant overlap between the quadricep and gastrocnemius muscle DEGs, as shown in Figure 3C ( p &lt; 2.2 × 10 −16 by Fisher’s exact test). The top 10 pathways (KEGG and Wikipathway) upregulated and downregulated by SLU-PP-332 treatment in either muscle type are shown in Table S2 . We observed substantial overlap in those pathways between muscle types that were significantly ( p &lt; 0.05) modulated. Pathways that were significantly SLU-PP-332 upregulated in both muscle types are shown in Figure 3D , E . Interestingly, these pathways are quite distinct from those identified as downregulated in the skeletal muscle ERR α / γ double KO mice, w

06

Ddit4 , a Regulator of an Acute Aerobic Exercise Genetic Program, Is an ERR α -Specific Target Gene.

We next sought to characterize ERR regulation of Ddit4 in greater detail using the C2C12 myoblast cell line. Using both a QPCR array ( Figure 4A ) and direct QPCR ( Figure 4B ), we found that Ddit4 gene expression was induced in the C2C12 myoblast cell line by SLU-PP-332 treatment, and the induction was detected in as little as 1 h ( Figure 4A ). The magnitude of induction of Ddit4 was lower than what was observed in vivo , and it was unclear whether this difference was due to the C2C12 cells or in vitro vs in vivo assessment at this point. As described above, ERR α occupancy was observed in the 5′ region and intragenic regions of the Ddit4 gene ( Figure 4C ) as well as within many other of the other genes regulated by SLU-PP-332, including Slc25a25 , Mypn , Nr4a1 , Hbb-bt , Hba-a1 , Gadd45g , and Tsc22d3 ( Figure S9 ). Multiple putative ERREs were identified in the promoter and intragenic regions of Ddit4 ( Figure 4D ). Given the importance of Ddit4 directing an acute aerobic exercise genetic response, as we discussed above, we focused more closely on the regulation of Ddit4 by ERRs. We assessed the promoter region bound by ERR α identified in the ChIP-seq data containing a putative ERRE that conferred SLU-PP-332 responsiveness to a luciferase reporter gene when cotransfected into HEK293 cells along with ERR α , consistent with Ddit4 functioning as a direct ERR α target gene ( Figure 4E ). At this point, it was unclear what the relative contribution of each of the ERRs to Ddit4 regulation was; thus, we performed an assessment of Ddit4 regulation in response to SLU-PP-332 in primary myocytes derived from skeletal muscle-specific ERR α and ERR α / γ KO mice. ERR β is not expressed in these cells ( Figure S10C ). We observed that Ddit4 expression was induced in primary mouse myocytes (derived from quadriceps) by acute SLU-PP-332 treatment (2 h) ( Figure 4F ). However, this effect was not observed after 24 h of treatment ( Figure 4G ), reminiscent of the transitory effect that we observed in vivo . This is consistent with the transient induction of genes in the acute aerobic exercise genetic program. We also observed that the level of induction of Ddit4 was similar to that in the C2C12 cells, suggesting that the lower level of induction relative to the in vivo studies was due to the in vitro nature of the experiment and not the C2C12 cells. The effect of SLU-PP-332 on Ddit4 expression was dependent on ERR α since the effect was lost in myocytes derived from ERR α or ERR α / γ null mice but was retained in ERR γ null myocytes ( Figure 4F ). SLU-PP-332 induced expression of Slc25a25 in a pattern identical to Ddit4 ( Figure 4H ). Slc25a25 responsiveness was completely ERR α -dependent and was transient, with an effect noted at 2 h but not at 24 h post treatment ( Figure 4I ). These results in the primary myocytes suggest that the effects of SLU-PP-332 on induction of the acute aerobic exercise genes such as Ddit4 are mediated via ERR α and not ERR β or ERR γ . However, it is important to reinforce that other genes that are regulated by SLU-PP-332 treatment may be mediated by the other ERR paralogs, given this drug is not selective enough to provide absolute specificity. In order to investigate this in the context of the whole animal, we treated mice with a muscle-specific KO of ERR α with SLU-PP-332. mERR α fl/fl or mERR α −/− 15 were treated for 14 days with SLU-PP-332 (b.i.d., i.p, 50 mg/kg) and then subjected to exercise until exhaustion. mERR α fl/fl treated with SLU-PP-332 exhibited significantly enhanced exercise endurance, while the mERR α −/− treated with SLU-PP-332 displayed exercise endurance equivalent to vehicle-treated mERR α −/− mice ( Figure 4J ). Moreover, upregulation of Ddit4 in quadriceps was observed only in mERR α fl/fl treated with SLU-PP-332 but not in the mERR α −/− treated group ( Figure 4K ). The magnitude of induction by SLU-PP-332 treatment was lower than we had previously observed, but collection of the muscle was delayed in this experiment relative to that described for Figure 3H , and given the rapid decline in Ddit4 induction in vivo , this is likely the reason for the distinction. Two other genes that we identified as upregulated in response to SLU-PP-332 treatment in skeletal muscle, Per1 and Alas2 ( Figure 3F ), were also significantly induced in the mERR α fl/fl mice by SLU-PP-332 treatment but not in the mERR α −/− mice ( Figure 4L , M ). These data illustrating the ability of administration of SLU-PP-332, a compound that induces an acute exercise genetic program via activation of ERR α , to increase exercise endurance, are consistent with studies demonstrating that both Ddit4 and Slc25a25 are key regulators of mitochondrial function, and mice with null mutations in either of these genes exhibit substantially reduced exercise endurance. 49 , 51 , 52

07

CONCLUSIONS

The ERRs play important roles in the regulation of energy metabolism and fuel selection. Loss of ERR α or ERR γ function leads to reduced muscle oxidative function and reduced functional endurance; 16 , 37 , 56 thus, pharmacological activation of these receptors may lead to beneficial metabolic effects associated with increased skeletal muscle activity for the treatment of metabolic diseases. In this study, we characterize the ability of a pan ERR α / β / γ synthetic agonist with ∼4-fold ERR α selectivity over ERR γ (SLU-PP-332) to function as an exercise mimetic and improve muscle and metabolic function both in vitro and in vivo . The key novelty of this compound is the ability to activate ERR α as well as the pharmacokinetic properties sufficient for in vivo studies. However, it is important to note that our studies with this compound were performed under conditions where all three ERRs would be activated, and this compound does not have sufficient specificity to probe the individual functions of ERR paralogs. Given the unique pharmacological activity of this compound to target activation of ERR α , we employed a genetic model combined with SLUPP-332 to identify an ERR α -dependent pathway that is linked to a previously identified acute aerobic exercise genetic response. We found that SLU-PP-332 treatment induces the expression of DDIT4 via specific activation of ERR α . DDIT4 is a key protein that is induced after short bouts of aerobic exercise that is responsible for inducing an acute aerobic exercise genetic program that leads to a range of physiological adaptations to exercise. 48 We found that Ddit4 is a direct ERR α target gene, and previous data indicating that Ddit4 null mice display reduced exercise endurance 49 is consistent with our results, indicating that SLU-PP-332 treatment, which induces Ddit4 expression, enhances exercise endurance. The array of genes that are induced by both SLU-PP-332 and acute aerobic exercise have been linked mechanistically to improved exercise endurance, increased fatty acid oxidation, and/or improved metabolic efficiency, which are all physiological components of the adaptive response to exercise. Of course, the key gene we examined, Ddit4 , is associated with mitochondrial function and improved exercise endurance, 49 and another gene within this program we examined, Slc25a25 , is also similarly associated with these endpoints. 51 Most importantly, the effects of SLU-PP-332 on exercise endurance are dependent on ERR α as mice with muscle-specific deletion of this receptor are refractory to improved performance. It must be reinforced that the pharmacodynamic properties of SLU-PP-332 are such that at the dose we used to assess ERR activation of all three ERR paralogs would be targeted. Previously, it had been reported that skeletal muscle overexpression of ERR γ in mice led to improved endurance; 17 however, we noted substantial differences in the array of genes regulated by overexpression of ERRs compared to pharmacological activation of ERRs. The acute aerobic exercise gene program was not identified when either ERR α or ERR γ was overexpressed or knocked out. 9 , 12 We believe that transient activation of ERRs may be quite distinct than either chronic overexpression or complete loss of the receptor. Furthermore, overexpression of ERR(s) likely provides for an unremitting level of elevated transcriptional activity that cannot be mimicked by pharmacological activation of this receptor class that already displays strong constitutive transactivation activity. Multiple bouts of aerobic exercise (2 h/day for 8 days on a rodent treadmill) have been shown to induce ERR α (∼1.5-fold) and ERR γ (∼2.1-fold) expression within the gastrocnemius muscle in mice. 18 Short-term aerobic exercise (cycling) in humans has been shown to induce ERR α (mRNA and protein expression) in skeletal muscle (m. vastus lateralis) to a similar extent (1.5–2-fold). 6 These data suggest that the ∼2-fold increase in the ERR transcriptional activity that we observe with SLU-PP-332 treatment is likely more similar to physiological changes in ERR activity induced by exercise than experimental models of skeletal muscle overexpression of ERR(s) or VP-16 ERR fusion proteins. Thus, pharmacological activation of ERR may be more closely aligned with driving physiological changes that are similar to normal exercise adaptation such as induction of the acute aerobic exercise response rather than chronic overexpression of ERR or similar key regulator proteins. In summary, activation of ERR α by SLU-PP-332 as an exercise mimetic induces an acute aerobic exercise program that leads to an array of physiological adaptations that are associated with exercise, including increased o x idative fibers in a muscle, increased fatty acid o x idation, and enhanced exercise endurance. Several nuclear receptors, such as LXR, FXR, PPAR α , PPAR δ , PPAR γ , and REV-ERB, among others, have been evaluated or utilized as targets f

08

METHODS

Molecular Modeling. All four models of ERR γ and ERR α bound with GSK4716 or SLU-PP-332 were built from the X-ray crystal structure of ERR γ -GSK4716 (PDB: 2GPP). 23 SLU-PP-332 was modeled by modifying the isopropyl group into a naphthalene group using Maestro (Schrodinger Release 2019–1: Maestro, Schrodinger, LLC. New York, NY). The initial X-ray structure has two water molecules bridging the ligand and the protein residues, and they were kept in the ligand binding pocket in each model. Each system was first energy-minimized using the steepest descent and conjugate gradient methods with keeping the ligand and the bridged water molecules constrained. The constraints were removed, and then each system was energy-minimized entirely in Amber. 59 Tleap module was used to neutralize and solvate the complexes using an octahedral water box of TIP3P water molecules. The FF14SB force field parameters were used for all receptor residues, and the general Amber force field was applied to ligand residues. 60 , 61 Nonbonded interactions were cut off at 10.0 Å, and long-range electrostatic interactions were computed using the particle mesh Ewald (PME). Ligands were modeled using Maestro, and pictures were generated using UCSF Chimera and Maestro. 62 After energy minimization, the water molecules left the pocket, and the acyl hydrazine made alternative hydrogen-bonding interaction with the protein backbone residues. The phenolic hydroxyl in the ERR γ -GSK4716 model maintained similar hydrogen-bonding interaction with Asp328 as the starting X-ray structure. Energy minimization using MacroModel and the OPLS3 force field yielded similar results (Schrodinger Release 2019–3: MacroModel, Schrodinger, LLC. New York, NY). 63 Although the phenolic hydroxyl group in the other three models made hydrogen-bonding interactions with different protein residues, it remained in a similar position as in the ERR γ -GSK4716 X-ray structure near the solvent-exposed surface of the protein ( Figure 1 ). We used the MM/GBSA 64 method to estimate the binding free energies of GSK4716 and SLU-PP-332 to both receptors ( Table S3 ). MM/GBSA, an end point energy calculation method used for estimating relative binding free energies, is particularly useful for ligand ranking and optimization in the process of drug discovery. 65 , 66 The binding of GSK4716 and SLU-PP-332 to ERR α and ERR γ is enthalpy-driven with a negative total binding free energy, indicating favorable binding ( Table S3 ). Δ H corresponds to the favorable affinity contribution, while Δ S is the entropy and reflects the decrease in conformational freedom in the protein–ligand complex. In the case of ERR γ , the enthalpy contribution of GSK4716 to the total binding free energy is more favorable than SLU-PP-332; however, the entropy penalty is greater in the case of GSK4716 over SLU-PP-332, resulting in similar total binding free energies with a difference of 1.5 kcal/mol in favor of SLU-PP-332 ( Table S3 ). However, in the case of ERR α , the enthalpy contribution of SLU-PP-332 is more favorable, and the entropy penalty is less, resulting in a more favorable total binding free energy (6.6 kcal/mol difference between SLU-PP-332 and GSK4716) ( Table S3 ). Based on these calculations, SLU-PP-332 was predicted to have a higher affinity for both receptors and particularly toward ERR α , with the reduction of the unfavorable entropic contribution associated with ligand binding as the main contributor toward the improved affinity. Additionally, several analogues of GSK4716 where the isopropyl phenyl group was replaced were tested, and the naphthalene substituent (SLU-PP-332) was considerably more potent than any others ( Table S4 ).

09

Synthesis and Preparation of SLU-PP-332.

(E)-4-Hydroxy-N ′ -(naphthalen-2-ylmethylene)benzohydrazide. To a solution of 2-naphthaldehyde (1.0 g, 6.6 mmol) in toluene (100 mL) was added 4-hydro x ybenzohydrazide (1.1 g, 6.6 mmol) portion wise. The mi x ture was allowed to stir for 18 h at reflu x . A solid precipitated, which was recrystallized from a 1:9 mi x ture of methanol and ether to obtain the title compound as a white solid (1.3 g, 68%); 1 H NMR (400 MHz, DMSO- d 6 ) δ 11.81 (s, 1H), 10.18 (s, 1H), 8.63 (s, 1H), 8.12 (s, 1H), 8.06–7.84 (m, 6H), 7.54 (dp, J = 6.5, 3.5 Hz, 2H), 6.93 (dd, J = 8.8, 2.3Hz, 2H). 13 C NMR (101 MHz, DMSO- d 6 ) δ 162.96, 160.81, 146.88, 133.68, 132.93, 132.33, 129.81, 128.49, 128.30, 127.79, 127.03, 126.73, 123.95, 122.74, 115.11. High-resolution mass spectrometry (HRMS) calculated for C 18 H 15 N 2 O 2 (M + H) + : 291.11280, found: 291.11284.

10

Cell Culture.

C2C12 cells (ATCC CRL-1772), mouse myoblast cell line, were maintained in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% L-glutamine. Primary myoblasts were maintained in DMEM/F12 (1:1) media supplemented with 40% heat-inactivated FBS and 10% AmnioMAX (Lifetech). Cells were treated with SLU-PP-332 or DMSO (10 μ M). After 24 h of treatment, RNA was extracted by Invitrogen Purelink RNA Mini Kit (Invitrogen). All groups were tested in triplicate.

11

Cotransfection Assays.

As previously described, 67 – 69 HEK293 cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum at 37 °C under 5% CO 2 . Twenty-four hours prior to transfection, HEK293 cells were plated in 96-well plates at a density of 2 × 10 4 cells/well. GAL4-NR-LBD or FLAG-ERR-FL plasmids were used in the luciferase assay.

12

Real-Time PCR (RT-PCR).

The RNA samples were reverse-transcribed using the qScript cDNA kit (Quanta). All samples were run in duplicate, and the analysis was completed by determining ΔΔCt values. The reference gene used was 36B4, a ribosomal protein gene. Primers sequences are listed in the Supporting Information .

13

Bioenergetic Profile of C2C12 Cells.

Bioenergetics profile tests in C2C12 myoblasts were conducted, as described by Nicholls et al. 70 The day before (24 h) the assay, C2C12 cells were seeded (10,000/well) in growth media on the 96-well XF Flu x Analyzer (Seahorse) cell plate.

14

Differential Scanning Fluorimetry.

ERR γ protein was diluted in a buffer containing 25 mM N -(2-hydro x yethyl)piperazine- N ′-ethanesulfonic acid (HEPES) pH 7.5, 300 mM NaCl, 10 mM dithiothreitol (DTT), 1 mM EDTA at a final concentration of 0.1 mg/mL and mi x ed with SYPRO-Orange dye (Life Technologies S6650). Four different concentrations of ligands (20, 10, 5, and 2.5 μ M) were used. Si x replicate reactions were set up and run in Applied Biosystems Quantstudio 7 Real-Time PCR system. Data were collected at a ramp rate of 0.05 °C/s from 24 to 95 °C and analyzed using Protein Thermal Shift Software 1.3.

15

Fiber Type, SDH, and Laminin Staining.

Fresh cryo-sections (10 μ m) were incubated for 1 h with Mouse on Mouse (M.O.M, Vector Lab) incubation media and then incubated with BA–D5, SC71, or BF-F3 antibodies (Developmental Studies Hybridoma Bank) for 45 min at 37 °C, in PBS–1% bovine serum albumin (BSA). Sections were washed three times for 5 min in PBS and then incubated with secondary antibodies diluted in PBS–1% BSA for 30 min at 37 °C. Sections were washed three times for 5 min in PBS and mounted using ProLong Gold mounting media (Thermo Fisher) under glass coverslips. Fresh cryo-sections (10 μ m) were incubated for 30 min at 37 °C in incubation medium (50 mM phosphate buffer, sodium succinate 13.5 mg/mL, NBT 10 mg/mL in water) placed in a Coplin Jar, and then the section was rinsed in PBS. After staining sections were fi x ed in 10% formalin–PBS solution for 5 min at room temperature (RT) and then rinsed in 15% alcohol for 5 min. Slides were mounted with an aqueous medium and sealed. Cryostat sections (10 μ m) were fi x ed for 20 min in 3% paraformaldehyde in phosphate-buffered saline (PBS), pH 7.4. Sections were blocked with 8% BSA in PBS-1 h at RT and then incubated at 4 °C overnight with primary antibody for laminin at a 1:200 dilution. Sections were then washed and incubated with anti-rabbit-FITC (1:1000) for 1 h at room temperature. Sections were mounted with fluorescent mounting medium containing Dapi (Vector lab) under glass coverslips. All quantifications were performed using ImageJ software.

16

Mice.

Male C57BL6/J mice were obtained from Jackson Laboratories (Bar Harbor, ME). Studies performed with C57BL6/J mice were approved and conducted in accordance with the Saint Louis University and Washington University Animal Care Use Committees. The conditional ERR α knockout mice used in exercise performance trials have been described. 15 All procedures using the skeletal muscle-specific ERR α fl/fl and ERR α −/− mice were performed in accordance with the City of Hope Institutional Animal Care and Use Committee.

17

General Mouse Studies.

For all experiments, 8–10 male C57BL6/J mice per group (12 weeks of age for chow) were administered a dose of SLU-PP-332 50 mg/kg (i.p., b.i.d.) or vehicle for 28 or 12 days. At termination of the experiment, tissues were collected for gene expression analysis by real-time qPCR using methods previously described. Food intake and body weight were monitored daily in these experiments, and body composition was measured prior to initiation and termination of the experiments by NMR (Bruker BioSpin LF50). Plasma was collected for triglyceride and cholesterol measurements. All b.i.d. dosing was performed, with dosing occurring at CT0 and CT12.

18

Exercise Endurance in WT Mice.

Si x male mice (C57BL6/J, 12 weeks old) were either treated with vehicle control (10% Tween, 10% DMSO, 80% PBS) or SLU-PP-332 (50 mg/kg, i.p.), run on E x er 3-/6 treadmill (Columbus Instruments) for 45 min at 12 m/min or left untreated. Animals were sacrificed by CO 2 asphyxiation 1, 3, or 6 h after intervention. For exhaustion protocol, si x male C57BL6/J, 12 weeks old, were with vehicle control (10% Tween, 10% DMSO, 80% PBS) or SLU-PP-332 (50 mg/kg, i.p.) for 6 days before testing. Mice were allowed to acclimate to the treadmill for 10 min/day, every day at 2 m/min. On the day of the test, mice were run 1 h after the last dose of vehicle or drug. Mice were running for 2 min at 10 m/min, then 6 min at 12 m/min, and then ran until exhaustion by increasing the speed of the belt for 2 m/min every 2 min. 71 E x haustion was assessed by mice allowing 10 consecutive 3 ms electrical shocks without moving. Mice were sacrificed by CO 2 asphyxiation just after exhaustion, and exhaustion was confirmed by measuring blood glucose.

19

Exercise Endurance in Muscle-Specific ERR α KO Mice.

Skeletal muscle-specific KO mice, ERR α fl/fl and ERR α −/− mice (20–24 week old, 30.7 + 0.26 g b.w.) were segregated into vehicle-treated or SLU-PP-332-treated groups ( n = 5/group). Mice were administered (i.p.) vehicle (10% DMSO, 15% Kolliphor EL in sterile saline) or 25 mg/kg SLU-PP-332 for 15 days. Prior to run performance, trial mice were acclimated to the treadmill (Columbus Instruments E x er 3/6 motorized treadmill) for 3 days (10 min at 10 m/min, then 2 min at 15 m/min). To assess aerobic run performance, mice were run at 10, 12.5, and 15 m/min for 3 min at each speed, after which the speed was increased by 1 m/min every 2 min (max speed 28 m/min) until exhaustion. Basal and post-run blood lactate readings were read to confirm exhaustion. Mice were sacrificed, and hindlimb muscles were collected 24 h after the run performance test.

20

Glucose Measurement.

Blood was collected by tail snip, and glucose was measured when mice reached exhaustion using OneTouch Ultra 2 glucometer.

21

Pharmacokinetic Studies.

Pharmacokinetic studies of SLU-PP-332 in mice were performed, as previously described. 72 Three-month-old C57Bl6/J male mice ( n = 3) were injected (i.p.) at ZT 1 with 30 mg/kg of SLU-PP-332 (5% Tween–5% DMSO–90% PBS). The animals were sacrificed by CO 2 asphyxiation, and tissues were collected at 1, 2, or 4 h after administration of the compound ( n = 4 per time point). Plasma and tissues (liver, quadriceps, and brain) were collected, flash-frozen, and stored at −80 °C until analysis. Tissue samples were weighed and placed into Eppendorf tubes. NaÏve tissue was used to prepare standard curves in the muscle tissue matri x . To each sample or standard tube were added three to five stainless steel beads (2–3 mm) and the appropriate volume of cold 3:1 acetonitrile/water (containing 100 ng/mL extraction internal standard SR8278) 73 to achieve a tissue concentration of 200 mg/mL. Tubes were placed in a bead beater for 2–3 min. Samples and standards (100 μ L) were plated in a 96-well plate, 150 μ L of acetonitrile was added to each well and then centrifuged at 3200 rpm for 5 min at 4 °C. The supernatant (100 μ L) was transferred to a 96-well plate, evaporated to dryness under nitrogen, reconstituted with 100 μ L of 0.1% v/v formic acid in 9:1 water/acetonitrile, and vortexed for 5 min. Plasma samples or standards prepared in a plasma matri x (100 μ L) were added to a 96-well plate. To each well, 400 μ L of cold acetonitrile containing 100 ng/mL extraction internal standard SR8278 was added. The plate was vortexed for 5 min at 4 °C. The supernatant (300 μ L) was transferred to a second 96-well plate, evaporated to dryness under nitrogen, reconstituted with 100 μ L of 0.1% v/v formic acid in 9:1 water/acetonitrile, and vortexed for 5 min. Finally, to each reconstituted tissue or plasma sample, 10 μ L of 1000 ng/mL enalapril in acetonitrile was added as an injection internal standard, and the 96-well plate was vortexed, briefly centrifuged, and submitted for LC/MS analysis. SLU-PP-332 concentrations were determined on a Sciex API-4000 LC/MS system in positive electrospray mode. Analytes were eluted from an Amour C18 reverse phase column (2.1 × 30 mm 2 , 5 μ m) using a 0.1% formic acid (aqueous) to 100% acetonitrile gradient mobile phase system at a flow rate of 0.35 mL/min. Peak areas for the mass transition of m / z 291 &gt; 121 for SLU-PP-332, m / z 394 &gt; 189 for the extraction internal standard SR8278, and m / z 376 &gt; 91 for the injection internal standard enalapril were integrated using Analyst 1.5.1 software. Peak area ratios of SLU-PP-332 area/SR8277 area were plotted against concentration with a 1/ x -weighted linear regression. Enalapril was used to monitor proper injection signals throughout the course of LC/MS analysis.

22

Lipid Assays.

Plasma triglycerides, total cholesterol, and liver enzymes were assessed using an Analo x (GM7 MicroStat) instrument and kits provided by the same manufacturer, following their protocols.

23

Limited Proteolysis Digestion.

In vitro translated ERR α full-length (TNT kit; Promega) was used. Briefly, after incubating at room temperature for 15 min with ligands (1–5–10 μ M), receptor proteins were digested at room temperature for 10 min with 10 μ g/mL trypsin. The proteolytic fragments were separated on a 4–15% sodium dodecyl sulfate (SDS) polyacrylamide gel (Bio-Rad) and visualized by Coomassie Blue staining.

24

Assessment of Locomotor Activity.

Locomotor activity was assessed using mice housed in cages with free access to running wheels. Briefly, after a 2-day acclimation period to wheel-equipped cages in a 12:12 light–dark (LD), locomotor activity was recorded over a 48 h period. Wheel running data were analyzed using Clocklab software (Actimetrics, Evanston, IL).

25

Mitochondrial DNA Quantification.

Mitochondrial DNA was extracted using QiAamp DNA mini kit, following the manufacturer’s instructions (Qiagen). DNA was quantified using Sybr Select Master Mi x (Applied Biosystems). All samples were run in duplicate, and the analysis was completed by determining ΔΔCt values. The reference gene used was NRDUV1, a genomic DNA marker.

26

Statistical Analysis.

The numerical values for potency (EC 50 for stimulation or IC 50 for inhibition) are indicated in the figures and are derived from GraphPad Prism analysis of the 11-point (full-length ERR assays) or 5-point (Gal4-LBD ERR assays) concentration–response curves. Data are expressed as mean ± standard error of the mean (SEM). Student’s test, two-way analysis of variance (ANOVA), or Fisher’s exact test were used to calculate statistical significance. p &lt; 0.05 was considered significant.

27

OXPHOS Western Panel.

OXPHOS protein expression was assessed using the Thermo Fisher O x Phos Rodent WB Antibody Cocktail (#45–8099). In order to normalize for protein loading, we used the Stain-Free Western Workflow suite from Bio-Rad ( https://www.bio-rad.com/webroot/web/pdf/lsr/literature/Bulletin_RP0051.pdf ). Image Lab 4.0 software, a component of ChemiDoc MP (Bio-rad), was employed, and the relative amount of total protein in each lane on the blot was calculated and used for quantitation normalization. We then identified a band for each OXPHOS complex and then normalized their intensity level to the total protein intensity for each lane. Then, the average and standard deviation were calculated for each group (vehicle and SLU-332).

28

RNA-Seq and RNA-Seq Analysis.

RNA-seq and analysis were performed as previously described. 74 Volcano plots plotting log 2 (Fold Change) vs log 10 FDR using R(v4.2.0) for genes in SLU-PP-332 RNA-seq data set. R was employed to compare DEGs of SLU-PP-332-treated mice, and mouse/human acute exercise data sets and the Fisher E x act test was used to assess for a significant overlap. The EnrichR tool was utilized for pathway analysis.

29

Supplementary Material

Supplementary Table 1 Supplementary Table 2 Supplementary Figures

Article Details
DOI10.1021/acschembio.2c00720
PubMed ID36988910
PMC IDPMC11584170
JournalACS Chemical Biology
Year2023
AuthorsCyrielle Billon, Sadichha Sitaula, Subhashis Banerjee, Ryan D. Welch, Bahaa Elgendy, Lamees Hegazy, Tae Gyu Oh, Melissa Kazantzis, Arindam Chatterjee, John C. Chrivia, Matthew Hayes, Weiyi Xu, Angelica Hamilton, Janice M. Huss, Lilei Zhang, John K. Walker, Michael Downes, Ronald M. Evans, Thomas P. Burris
LicenseOpen Access — see publisher for license terms
Citations42