Abstract
Insulin resistance is a characteristic finding in hyperglycaemia and type 2 diabetes. SIRT1 is a NAD+ dependent deacetylase that plays a central role in glucose homeostasis and energy metabolism. SIRT1 activators, including plant polyphenols such as resveratrol, improve insulin sensitivity in skeletal muscle tissue. We hypothesised that the novel plant-derived compounds, strigolactone and pinosylvin, beneficially enhance SIRT1 function, insulin signalling, glucose uptake, and mitochondrial biogenesis in skeletal muscle cells. Rat L6 skeletal muscle myotubes were treated with strigolactone analogue GR24 and pinosylvin. Resveratrol was included in experiments as a reference compound. We measured the effects of these compounds on SIRT1 function, insulin signalling, glucose uptake, mitochondrial biogenesis and gene expression profiles. Strigolactone GR24 upregulated and activated SIRT1 without activating AMPK, enhanced insulin signalling, glucose uptake, GLUT4 translocation and mitochondrial biogenesis. Pinosylvin activated SIRT1 in vitro and stimulated glucose uptake through the activation of AMPK. The regulation of SIRT1 by strigolactone GR24 and the activation of AMPK by pinosylvin may offer novel therapeutic approaches in the treatment of insulin resistance in skeletal muscle.
Introduction
Type 2 diabetes, characterised by impaired insulin secretion and insulin resistance, is an important global health problem1. Skeletal muscle is the predominant tissue for insulin-stimulated glucose uptake. SIRT1 (Silent information regulator type 1) is a NAD+ dependent deacetylase and a key metabolic sensor of energy level changes, and it plays a central role in calorie restriction2. SIRT1 activation mimics calorie restriction3, and has beneficial effects in age-related diseases, such as cardiovascular, neurodegenerative and metabolic diseases, including type 2 diabetes4.
SIRT1 activation controls glucose and lipid metabolism in several tissues5–8, improves insulin sensitivity9,10, stimulates mitochondrial biogenesis11, and decreases obesity-induced inflammation in macrophages9. SIRT1 regulates energy metabolism by interacting with AMP-activated protein kinase (AMPK)6,11,12, a master cellular energy sensor controlling metabolic homeostasis and cell survival during stress, and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α), a major regulator of mitochondrial biogenesis11. Our previous studies have shown that SIRT1 expression is correlated with insulin sensitivity and mitochondrial function13, and that activation of SIRT1 prevents the development of metabolic syndrome via the deacetylation and activation of PGC1α14. SIRT1 activators, including plant polyphenols such as resveratrol, have beneficial effects on glucose homeostasis and insulin sensitivity in animal models15.
Strigolactones are plant hormones that enhance beneficial symbiosis of the plants with mycorrhizal fungi where they promote mitochondrial biogenesis, hyphal branching and ATP production16,17. Strigolactones have beneficial effects in cancer18,19, but their effects on glucose metabolism have not been investigated in mammalian cells. Pinosylvin, a stilbenoid polyphenol whose structure closely resembles resveratrol, is a natural compound found in high concentrations in the Pinus species. Pinosylvin has anti-bacterial, anti-fungal and anti-cancer properties20,21, but its effects in metabolically relevant tissues have not been previously investigated in detail22. We hypothesised that strigolactone and pinosylvin have beneficial effects on glucose and energy metabolism, and therefore we investigated the effects of strigolactone analogue GR24 and pinosylvin on SIRT1 function, insulin sensitivity, mitochondrial biogenesis and gene expression in differentiated skeletal muscle cells.
Results
GR24 and pinosylvin enhance glucose uptake and stimulate GLUT4 translocation
GR24 enhanced basal and insulin-stimulated glucose uptake dose-dependently, and significantly at 60 µM and 100 µM concentrations (Fig. 1a). GR24 also stimulated GLUT4 translocation significantly at 60 µM and 100 µM concentrations in basal conditions, but its effect did not reach statistical significance in insulin-stimulated conditions (Fig. 1b). Pinosylvin enhanced basal glucose uptake significantly at all tested concentrations, with maximal effect at 60 µM, but at 100 µM it inhibited insulin-stimulated glucose uptake (Fig. 1c). Pinosylvin stimulated GLUT4 translocation at 60 µM and 100 µM concentrations only in basal conditions (Fig. 1d). Resveratrol did not affect basal glucose uptake, but had a significant inhibitory effect on insulin-stimulated glucose uptake at 60 µM (Fig. 1e). Resveratrol had no significant effect on GLUT4 translocation (Fig. 1f). The results of GLUT4 in-cell western assays were confirmed by visualizing cell surface GLUT4 levels with fluorescent microscopy. The microscopic images showed that GR24 and pinosylvin stimulated GLUT4 translocation (Supplementary Fig. 2).
GR24 upregulates GLUT4 protein
L6 myotubes were treated with 60 µM GR24, pinosylvin and resveratrol for 24 hours, and the lysates were analysed by western blotting. The treatments were tested to elicit no or minimal cytotoxicity in the myotubes (Supplementary Fig. 3). GR24 significantly increased GLUT4 expression at both normal (5.5 mM) and high glucose levels (16.7 mM) (Fig. 1g,h).
GR24 upregulates and activates SIRT1 in skeletal muscle cells, whereas pinosylvin stimulates AMPK phosphorylation and activates SIRT1 in vitro
GR24 and resveratrol treatments enhanced significantly the protein expression of SIRT1, whereas pinosylvin had no significant effect on SIRT1 (Fig. 2a). Pinosylvin stimulated AMPK phosphorylation, but GR24 and resveratrol had no significant effect on AMPK (Fig. 2b). FOXO1 acetylation decreased in GR24-treated cells, whereas pinosylvin and resveratrol treatment did not significantly change the acetylation status of FOXO1 (Fig. 2c). At high glucose conditions (16.7 mM), these findings on SIRT1, AMPK and acetylated FOXO1 were essentially similar (Supplementary Fig. 4a–c). GR24 and resveratrol stimulated the production of NAD+, which is an essential co-substrate of SIRT1, and increased the NAD+/NADH ratio in myotubes treated with 60 µM compounds for 24 h (Fig. 2d). Pinosylvin did not have an effect on the NAD+/NADH ratio (Fig. 2d). The test compounds had no significant effect on SIRT1 activity in cell lysates tested with Fluor de Lys assay (Supplementary Fig. 5a).
The ability of the compounds to activate recombinant SIRT1 enzyme was tested in two different cell-free in vitro activity assays. In Fluor de Lys assay which uses the p53-based fluorescent peptide substrate, 100 µM pinosylvin and resveratrol strongly activated SIRT1, but GR24 showed no effect (Fig. 2e). In further Fluor de Lys in vitro assays, pinosylvin was found to stimulate SIRT1 in a dose-dependent manner, with EC50 value of 116.8 ± 7.5 µM and Emax value of 1976 ± 75% (Supplementary Fig. 5b). In another in vitro activity assay, SIRTainty, GR24 did not activate SIRT1 with either of the two tested substrates. Pinosylvin and resveratrol activated SIRT1 towards the p53-based Fluor de Lys fluorescent peptide substrate, but had no effect on the deacetylation of a non-labelled peptide substrate supplied with the commercial SIRTainty assay kit (proprietary sequence) (Supplementary Fig. 5c).
GR24 stimulates mitochondrial biogenesis and ATP production
Mitochondrial mass increased significantly in 20 µM GR24-treated L6 myotubes (Fig. 3a). This finding was confirmed by confocal imaging of mitochondria, showing enhanced mitochondrial staining (Fig. 3b). Pinosylvin did not show any effect on mitochondrial biogenesis, but 20 µM resveratrol exhibited a trend to induce mitochondrial biogenesis. Treatment of L6 myotubes with 60 µM GR24 resulted in elevated production of ATP (Fig. 3c) and a decrease in the ADP/ATP ratio (Fig. 3d). Resveratrol stimulated ATP production, but pinosylvin treatment had no effect on ATP level or the ADP/ATP ratio. In western blotting analyses from L6 myotube lysates treated with 60 µM test compounds for 24 h at normal glucose (5.5 mM), PGC1α expression was found to be increased by GR24 and resveratrol treatments (Fig. 3e). Respiratory factor 1 (NRF1) expression increased by GR24 treatment (Fig. 3f). Pinosylvin treatment did not affect PGC1α or NRF1 expression. Similar results for PGC1α and NRF1 expression were obtained in high glucose conditions (16.7 mM, Supplementary Fig. 4d,e).
Microarray analysis of transcripts relevant in SIRT1 expression, insulin signalling, mitochondrial function and metabolism
Microarrays were applied to compare transcriptomes in L6 myotubes exposed to 60 µM GR24, pinosylvin and resveratrol for 24 hours to transcriptomes in control-treated myotubes. There were a total of 16,153 differentially regulated transcripts (9,838 up- and 6,315 downregulated) to the GR24 treatment (Supplementary Fig. 6). The raw data have been deposited in the Gene Expression Omnibus (GEO) database with accession no. GSE90833.
Among the individual genes, GR24 activated the transcription of SIRT1 as well as sirtuins SIRT3 and SIRT6, NAD+ synthesizing enzyme nicotinamide phosphoribosyltransferase (NAMPT), and transcription factors (Arntl, Creb1, and Myc) which have been shown to positively regulate SIRT1 (Table 1). Moreover, several genes involved in insulin signalling were upregulated, including insulin receptor, insulin receptor substrate 1 (IRS-1) and phosphatidylinositol-3-kinase (PI3K) (Table 2). AKT2 was downregulated, but its activating kinase 3-phosphoinositide dependent protein kinase-1 (PDPK1) was upregulated (Table 2). GLUT4 transcript was downregulated, whereas the expression of GLUT4 protein degradation inhibitor calpastatin was upregulated (Table 2). GR24 also activated the transcripts of several genes encoding mitochondrial proteins (Table 2). The effects of pinosylvin and resveratrol on the transcripts were less clear (Tables 1 and 2). Both pinosylvin and resveratrol upregulated SIRT3 but did not have significant effects on NAMPT transcription.
Table 1.
Gene Symbol | Accession | GR24 | Pinosylvin | Resveratrol | |||
---|---|---|---|---|---|---|---|
Fold change | Adj. p value | Fold change | Adj. p value | Fold change | Adj. p value | ||
Sirt1 | ENSRNOT 00000000427 | 1.34 | 1.08 × 10 −6 | 0.83 | 1.43 × 10−1 | 1.06 | 6.58 × 10−1 |
Sirt3 | ENSRNOG 00000013828 | 1.40 | 6.53 × 10 −5 | 1.25 | 5.29 × 10 −3 | 1.20 | 1.39 × 10 −2 |
Sirt6 | NM_001031649 | 1.28 | 1.45 × 10 −3 | 1.13 | 1.16 × 10−1 | 1.09 | 2.41 × 10−1 |
Nampt | NM_177928 | 1.67 | 3.75 × 10 −4 | 0.93 | 5.66 × 10−1 | 1.06 | 6.88 × 10−1 |
Arntl | NM_024362 | 1.52 | 1.55 × 10 −4 | 1.17 | 9.03 × 10−2 | 1.26 | 2.27 × 10 −2 |
Creb1 | NM_134443 | 1.66 | 1.32 × 10 −5 | 0.88 | 1.80 × 10−1 | 0.88 | 1.20 × 10−1 |
Myc | NM_012603 | 2.28 | 6.06 × 10 −8 | 1.41 | 2.49 × 10 −4 | 1.56 | 5.36 × 10 −5 |
Sirt1, sirtuin1; Sirt3, sirtuin 3; Sirt6, sirtuin 6; Nampt, nicotinamide phosphoribosyltransferase; Arntl, aryl hydrocarbon receptor nuclear translocator-like; Creb1, cAMP responsive element binding protein; Myc, myelocytomatosis oncogene; Fold change shown for treated vs control groups, positive values reflect upregulation and negative values (shown in italics) reflect downregulation; Adj. p value, p value after Benjamini-Hochberg FDR correction, significance threshold set at p < 0.05, significant values shown in bold.
Table 2.
Gene Symbol | Accession | GR24 | Pinosylvin | Resveratrol | |||
---|---|---|---|---|---|---|---|
Fold change | Adj. p value | Fold change | Adj. p value | Fold change | Adj. p value | ||
Insr | NM_017071 | 1.98 | 1.08 × 10 −6 | 1.03 | 7.75 × 10−1 | 1.14 | 9.99 × 10−2 |
Irs1 | NM_012969 | 1.35 | 1.30 × 10 −2 | 1.11 | 4.23 × 10−1 | 1.33 | 1.30 × 10 −2 |
Pik3c3 | NM_022958 | 1.68 | 9.20 × 10 −7 | 1.02 | 7.55 × 10−1 | 1.00 | 9.72 × 10−1 |
Pdpk1 | NM_031081 | 1.66 | 9.30 × 10 −5 | 0.99 | 9.41 × 10−1 | 1.07 | 5.61 × 10−1 |
Akt2 | NM_017093 | 0.85 | 3.28 × 10 −3 | 0.99 | 8.63 × 10−1 | 0.86 | 1.36 × 10 −2 |
Slc2a4 | NM_012751 | 0.45 | 2.08 × 10 −7 | 1.22 | 8.71 × 10 −3 | 0.96 | 6.30 × 10−1 |
Cast | NM_053295 | 1.76 | 3.26 × 10 −4 | 0.90 | 5.91 × 10−2 | 1.14 | 3.60 × 10−1 |
Cs | NM_130755 | 1.47 | 5.35 × 10 −6 | 1.06 | 3.21 × 10−1 | 1.13 | 3.50 × 10 −2 |
Immt | NM_001034928 | 1.28 | 7.59 × 10 −4 | 1.04 | 5.76 × 10−1 | 1.00 | 9.71 × 10−1 |
Mrpl2 | NM_001034136 | 1.79 | 6.14 × 10 −7 | 1.11 | 9.45 × 10−2 | 1.19 | 1.14 × 10 −2 |
Pc | NM_012744 | 1.64 | 4.98 × 10 −7 | 1.34 | 1.72 × 10 −4 | 1.59 | 1.03 × 10 −5 |
Sdha | NM_130428 | 1.12 | 1.23 × 10 −2 | 1.08 | 1.31 × 10−1 | 1.00 | 9.54 × 10−1 |
Tfam | NM_031326 | 1.79 | 1.58 × 10 −6 | 1.11 | 1.46 × 10−1 | 1.14 | 6.10 × 10−2 |
Insr, insulin receptor; Irs1, insulin receptor substrate 1; Pik3c3, phosphatidylinositol 3-kinase catalytic subunit type 3; Pdpk1, 3-phosphoinositide dependent protein kinase 1; Akt2, AKT serine/threonine kinase 2; Slc2a4, solute carrier family 2 member 4 (GLUT4); Cast, calpastatin; Cs, citrate synthase; Immt, inner membrane mitochondrial protein; Mrpl2, mitochondrial ribosomal protein L2; Pc, pyruvate carboxylase; Sdha, succinate dehydrogenase subunit A; Tfam, transcription factor A mitochondrial; Fold change shown for treated vs control groups, positive values reflect upregulation and negative values (shown in italics) reflect downregulation; Adj. p value, p value after Benjamini-Hochberg FDR correction, significance threshold set at p < 0.05, significant values shown in bold.
Heat map and clustering analysis of the transcripts of the “Mitochondrion organization and biogenesis” and “Insulin receptor signalling pathway” Gene Ontology (GO) gene sets are presented in Supplementary Figures 7 and 8. The clustering analysis shows clearly that GR24-treated samples had different expression patterns and formed a separate cluster in all of the gene sets, showing increased expression for most of the individual genes. By contrast in “mitochondrion organization and biogenesis” GO, pinosylvin and resveratrol clustered together with the control group, indicating that these compounds did not have significant effects on the transcripts of the gene set investigated.
Discussion
We hypothesised that the two plant-derived compounds, GR24 and pinosylvin, may have beneficial effects on glucose and energy metabolism and therefore we investigated their effects on SIRT1 function, glucose uptake (insulin sensitivity), mitochondrial biogenesis, and gene expression of key regulators of these pathways in L6 skeletal muscle myotubes. Resveratrol was included in the experiments as a reference compound. Our study reports several novel findings: 1. GR24 and pinosylvin stimulated skeletal muscle glucose uptake and GLUT4 translocation, 2. GR24 upregulated and activated SIRT1 in skeletal muscle cells without activating AMPK, whereas pinosylvin activated AMPK, 3. GR24 stimulated mitochondrial biogenesis and transcription of mitochondrial proteins, enhanced ATP and NAD+ production and upregulated PGC1α and NRF1 (Findings summarised in Fig. 4).
GR24 and pinosylvin significantly stimulated glucose uptake in L6 myotubes and insulin-stimulated cells in basal conditions, but resveratrol failed to increase glucose uptake. Previous studies have reported conflicting findings, one study showed that resveratrol stimulated skeletal muscle glucose uptake via the activation of both SIRT1 and AMPK23, whereas other studies reported no effect24, or an inhibitory effect25. Differences in experimental conditions of these studies may explain conflicting findings. GLUT4 is the principal glucose transporter in the skeletal muscle and insulin stimulates glucose uptake by promoting GLUT4 translocation to the cell surface26. We did not observe a significant effect on GLUT4 translocation by resveratrol, whereas GR24 and pinosylvin significantly promoted GLUT4 translocation, in agreement with the effect of these compounds on glucose uptake.
Possible mechanisms of GR24-stimulated glucose uptake could be the upregulation of GLUT4 at the protein level and the activation of insulin signalling pathway. GR24 treatment downregulated GLUT4 transcript expression, suggesting that GR24 seems to conserve GLUT4 from degradation. The mechanism could be the upregulation of calpastatin, an inhibitor of GLUT4 degrading enzyme calpain 227. Calpastatin overexpression results in increased GLUT4 protein and decreased GLUT4 mRNA in the skeletal muscle27. GR24 also positively stimulated the insulin signalling pathway by upregulating insulin receptor, IRS-1 and PI3K. The transcription of AKT2 was decreased, but its activating kinase PDPK1 was upregulated, which increases the activity of AKT2.
SIRT1 and AMPK form a positive feedback cycle in many experimental conditions, and resveratrol produces its effects on SIRT1 by activating first AMPK12,28. In order to investigate the roles of SIRT1 and AMPK on the stimulation of glucose uptake by GR24 and pinosylvin, we analysed the levels of SIRT1 and phosphorylated (active) AMPK, and measured cellular SIRT1 activity and NAD+ levels. GR24 significantly upregulated SIRT1 protein expression without having a significant effect on AMPK activation. Conversely, pinosylvin activated AMPK but did not modulate the expression of SIRT1, confirming the previously reported AMPK-activating effect of pinosylvin29. Resveratrol did not activate AMPK in our study, and it only slightly upregulated SIRT1 in normal glucose conditions. Most importantly, GR24 increased SIRT1 deacetylase activity towards its endogenous substrate FOXO1, and decreased acetylated FOXO1 levels in cell lysates, but did not activate SIRT1 when cell lysates were tested in Fluor de Lys in vitro assay. Different SIRT1 activators and activating pathways exert selective effects on deacetylation of various substrates, which may explain our results30,31. Pinosylvin and resveratrol did not significantly change the acetylation of FOXO1 or modulate deacetylation of the p53-based substrate in cell lysates, indicating that they did not activate cellular SIRT1 in our experimental setting.
We showed that resveratrol and pinosylvin strongly activated deacetylation of the fluorescently labelled p53-based substrate by recombinant SIRT1 in Fluor de Lys in vitro assays, but GR24 did not have this effect. Pinosylvin activated SIRT1 at micromolar concentrations with almost 20-fold maximum stimulation. As the labelled substrates can cause artefact results32, we also tested the compounds in SIRTainty assay, which allows for the use of various unlabelled substrates30. GR24 failed to modulate the activity of SIRT1 also in this assay. Both pinosylvin and resveratrol activated SIRT1 only towards the p53-based fluorescent peptide substrate, but not towards a non-labelled peptide substrate in the SIRTainty assay. This confirms that the activation of SIRT1 by resveratrol is substrate sequence-selective30,31 and reveals that pinosylvin resembles resveratrol in this respect. Taken together, these results indicate that GR24 is not activating SIRT1 in in vitro assays, but is able to boost cellular NAD+ levels and stimulate deacetylase activity of SIRT1 towards its endogenous substrate protein. In contrast, pinosylvin directly activates SIRT1 in some in vitro assay conditions, but does not modulate NAD+ or activate SIRT1 in skeletal muscle cells.
We found in our transcriptome analysis that GR24 upregulated SIRT1 expression in agreement with the upregulation of SIRT1 at the protein level. The increase in NAMPT transcription may explain the increase in NAD+ production. Our microarray results showed an upregulation of several transcription factors (Arntl, Creb1, Myc) which positively regulate SIRT1, providing possible mechanisms for upregulation of SIRT1. Pinosylvin did not regulate SIRT1 or NAMPT transcript levels and had less effect on SIRT1 regulating transcription factors. This is in line with the fact that pinosylvin treatment did not affect the levels of SIRT1 protein or NAD+.
Mitochondrial function is essential for the oxidation of lipids and carbohydrates in skeletal muscle. Reduced rate of mitochondrial oxidative phosphorylation has been reported in skeletal muscle of patients with type 2 diabetes33, and proteomic analysis of insulin-resistant muscle has confirmed a lower abundance of mitochondrial proteins34. Skeletal muscle insulin resistance due to mitochondrial dysfunction can be attenuated by overexpression of SIRT135, and our previous study showed that resveratrol improves mitochondrial function in skeletal muscle through activating transcription factor coactivator PGC1α14. We found that resveratrol upregulated PGC1α and increased the production of ATP in L6 myotubes, but the stimulation of mitochondrial biogenesis by resveratrol did not reach statistical significance. GR24 stimulated mitochondrial biogenesis and upregulated PGC1α and NRF1, the two of the most important mitochondrial biogenesis factors, whereas pinosylvin did not have this effect. Treatment with GR24 enhanced the production of ATP and increased the NAD+/NADH ratio, which is in agreement with enhanced oxidative phosphorylation in skeletal muscle mitochondria36. Strigolactones have previously been shown to stimulate mitochondrial biogenesis and ATP production in mycorrhizal fungi16,17. Our study is the first to show that the same mechanism is working in skeletal muscle cells.
GR24 upregulated transcripts of several mitochondrial proteins, including mitochondrial transcription factor A (TFAM), an important activator of mitochondrial transcription, and citrate synthase, a marker of mitochondrial density in the skeletal muscle37. In general, based on the heat maps and clustering analyses of the gene sets, a clear upregulation of genes involved in mitochondrial function was evident after GR24 treatment. This further confirms the stimulation of mitochondrial biogenesis by GR24 treatment. On the other hand, pinosylvin did not show any distinct effect on the transcripts regulating mitochondrial function, which is in accordance with our other findings. Resveratrol upregulated citrate synthase and some other genes regulating mitochondrial function, as previously reported11.
In summary, our study extends the knowledge on pinosylvin showing its potential in promoting glucose uptake in skeletal muscle cells and activating SIRT1 towards different substrates in vitro. Most importantly, our findings introduce plant hormone strigolactones as a new class of phytochemicals with multiple beneficial effects on insulin sensitivity, mitochondrial biogenesis and cellular SIRT1 activity. Therefore, these compounds may have potential in treatment of insulin resistance and type 2 diabetes.
Materials and Methods
Cell culture and differentiation
Rat L6 myoblasts (ATCC, Manassas, VA, USA) were maintained in Dulbecco’s modified Eagle’s medium (DMEM 4.5 g/l glucose, Lonza, Basel, Switzerland) supplemented with 10% FBS (Hyclone, Pasching, Austria), 2 mM L-glutamine (Lonza) and 1% penicillin/streptomycin (Lonza) at +37 °C in a humidified atmosphere of 5% CO2. The cultures were regularly checked for the presence of mycoplasma. The cells were seeded in multiwell plates at the density of 2 × 104 cells/cm2 one day before the start of the differentiation. The differentiation of myoblasts into myotubes was induced by switching the media into α-MEM (Gibco, Paisley, UK) supplemented with 2% horse serum (Gibco) and 1% penicillin/streptomycin. The differentiation medium was replenished every 48 h and the cells were treated with test compounds at 6–7 days of differentiation for 24 h in differentiation media, unless otherwise stated. The test compounds, strigolactone analogue GR24 ((3E,3aR,8bS)-3-[[(2 S)-4-methyl-5-oxo-2H-furan-2-yl] oxymethylidene]-4,8b-dihydro-3aH-indeno[1,2-b]furan-2-one, Chiralix, Nijmegen, Netherlands), pinosylvin (3,5-dihydroxy-trans-stilbene, Sequoia, Pangbourne, UK) and resveratrol (3,4′,5-trihydroxy-trans-stilbene, Sigma, Schnelldorf, Germany), were dissolved and diluted in DMSO. The control samples were treated with equivalent concentration of DMSO. The chemical structures of the test compounds are shown in Supplementary Fig. 1.
Deoxyglucose uptake
Deoxyglucose uptake measurements were performed as previously described38. Briefly, the L6 myotubes were differentiated in 24-well plates and exposed to the test compounds or equal concentration of DMSO for 6 h in duplicate wells, in differentiation media ± 100 nM human insulin (Sigma). The cells were washed with phosphate buffered saline (PBS) and starved for 60 min in glucose-free HEPES-buffered saline (20 mM HEPES, 140 mM NaCl, 5 mM KCl, 2.5 mM MgSO4, 1 mM CaCl2, pH 7.4) while maintaining the same concentrations of test compounds and insulin. Finally, HEPES-buffered saline containing 10 μM 2-deoxy-D-glucose (Sigma) and 0.5 μCi/μl [3H]2-Deoxy-D-glucose (PerkinElmer, Turku, Finland) was added on the myotubes and the uptake reaction was allowed to proceed for 15 min at room temperature. The uptake reaction was stopped by washing the cells thrice with ice-cold PBS. The cells were lysed in 0.5 M NaOH and the radioactivity in the lysates was counted by liquid scintillation (Wallac 1414 WinSpectral, Wallac, Turku, Finland). The protein content of the lysates was measured with BCA Protein Assay (Pierce, Rockford, IL, USA).
In-cell western GLUT4 translocation assay
Cell surface GLUT4 levels were assessed by In-Cell western using the Odyssey Infrared Imaging System (LI-COR Biosciences, Cambridge, UK) with modifications of a previously reported protocol39. L6 myotubes were differentiated in 96-well plates and exposed to the test compounds for 6 h in triplicate wells, in differentiation media ± 100 nM human insulin (Sigma). The cells were briefly washed with PBS and fixed with 4% (w/v) paraformaldehyde in PBS for 10 min at room temperature. After washing, nonspecific binding was blocked with blocking solution (DMEM containing 10% FCS) for 30 min at room temperature. Cells were then incubated with 1:100 diluted goat GLUT4 antibody (sc-1606, Santa Cruz, Heidelberg, Germany) in blocking solution overnight at +4 °C. The cells were washed and incubated with Alexa Fluor 680 labelled 1:250 diluted donkey anti-goat antibody (ab175776, Abcam, Cambridge, UK) in blocking solution for 60 min at +37 °C. After extensive washing, the plates were dried and scanned on the Odyssey Infrared Imaging System on the 700 nm channel. The relative intensities of GLUT4 signal were normalized with the protein content of the cells measured with BCA Protein Assay.
Cell surface GLUT4 levels were also visualized with fluorescent microscopy. L6 myotubes were differentiated in 8-well chamber slides (Ibidi, Munich, Germany). The cells were treated and stained as described above for the 96-well plates. As a control, the primary antibody was omitted during the staining procedure to detect the non-specific signal arising from the secondary antibody. The fluorescent images were obtained with Zeiss Axio Observer microscope (40× objective).
Sulforhodamine B cytotoxicity assay
The L6 cells were differentiated into myotubes in 96-well plates and treated for 6 h or 24 h in differentiation media in triplicate wells. Sulforhodamine B staining and colorimetric assay were performed as previously described40. The results were measured with Cytation 3 Multi-Mode Reader (BioTek, Winooski, VT, USA) at 565 nm.
SIRT1 in vitro activity assays
Fluor de Lys SIRT1 activity assays were run in duplicate wells with the materials and methods of the SIRT1 Fluorometric Drug Discovery Kit (BML-AK555, Enzo, Lörrach, Germany), with 25 µM acetylated SIRT1 substrate (BML-KI177, Enzo), 100 µM NAD+ and 1 U recombinant SIRT1 (His-tagged human full-length SIRT1, BML-SE239, Enzo). Fluorescence readings were obtained using Cytation 3 Multi-Mode Reader (BioTek) with excitation wavelength 370 nm and emission 460 nm. The activity of the endogenous SIRT1 in cellular lysates was measured according to a previously published Fluor de Lys -based method41 using 25 µM acetylated SIRT1 substrate (Enzo), 100 µM NAD+ and 20 µg of cellular protein.
SIRTainty Class III HDAC Assay Kit (Millipore, Darmstadt, Germany) was used with two different peptide substrates: a fluorophore-labelled p53-based peptide (BML-KI177, Enzo) and an unlabelled SIRTainty assay peptide with a proprietary sequence (Millipore). The assay employs nicotinamidase to measure nicotinamide generated upon the cleavage of NAD+ during the deacetylation of a substrate42. Assays were run according to the kit instructions in duplicate wells with 25 µM acetylated peptide substrate, 100 µM NAD+, 20 µg/ml nicotinamidase and 1.5 U recombinant SIRT1 (His-tagged human full-length SIRT1, BML-SE239, Enzo). Fluorescence readings were obtained using Victor 1420 Multilabel Counter (PerkinElmer, Turku, Finland) with excitation wavelength 405 nm and emission 460 nm.
Mitochondrial staining
For confocal microscopy imaging of the mitochondria, the L6 cells were differentiated into myotubes in 8-well chamber slides (Ibidi, Munich, Germany). After treatments, the cells were stained with 100 nM MitoTracker Green FM (Invitrogen, Paisley, UK) for 30 min in serum-free media. Cells were then washed and the nuclei were stained with 2.5 µM DRAQ5 (BioStatus, Shepshed, UK). The fluorescent images were obtained with Zeiss Axio Observer inverted microscope (40× objective) equipped with Zeiss LSM 700 confocal module (Carl Zeiss Microimaging, Jena, Germany). Confocal microscopy settings were set on the intensity of fluorescence from control cells and maintained as such during the acquisition of treated cells. The experiments were repeated at least twice.
The cellular content of mitochondria was quantified by Mitotracker Green FM staining in 24-well plates, as previously described43. The L6 cells were stained in triplicate wells with 100 nM Mitotracker Green FM for 30 min in serum-free media and fluorescence was measured with Cytation 3 Multi-Mode Reader (BioTek) with excitation wavelength 490 nm and emission 516 nm. The fluorescence was normalized with the protein content of the wells, which was measured using the BCA protein assay.
Western Blotting
The cellular proteins were extracted using RIPA buffer and protein concentrations were measured by BCA protein assay kit. Triplicate protein samples were run in 4–12% NuPAGE Bis-Tris gels (Life Technologies, Espoo, Finland) and transferred to polyvinylidene fluoride (PVDF) membranes (GE Healthcare, Uppsala, Sweden). Membranes were blocked in 3–5% milk or BSA in TBS-Tween-20, washed with TBS-Tween-20 and incubated overnight at +4 °C with primary antibodies followed by washing with TBS-Tween-20 and incubation with secondary antibodies for 1 h at room temperature. The bands were visualized using enhanced chemiluminescence and images were captured with Image Quant RT-ECL system (GE Healthcare). Bands were quantified by Quantity One software (Bio-Rad, Hercules, CA, USA). The antibodies were from following sources: SIRT1 (07–131) was from Millipore. Phospho-AMPK (2535), AMPK (2532) and FOXO1 (2880) were from Cell Signaling Technology, Beverly, MA, USA. PGC1α (sc-13067), Ac-FKHR (acetylated FOXO1, sc-49437), NRF1 (sc-13031), GLUT4 (sc-1608) and donkey anti-goat IgG-HRP (sc-2020) were purchased from Santa Cruz. Anti-rabbit IgG-HRP (NA934V) and anti-mouse IgG-HRP (NA931V) were from GE Healthcare. α-tubulin (T5168) was from Sigma. The details of the antibody dilutions are shown in the Supplementary Table 1.
ADP/ATP and NAD+/NADH assays
L6 myotubes were differentiated in in 6-well plates and treated with 60 µM compounds for 24 h in duplicate wells. ADP/ATP Ratio Assay kit (Abcam) and NAD+/NADH Ratio Assay kit (Abcam) were used according to the manufacturer’s instructions.
Statistical analyses
Statistical differences between groups were tested using one-way analysis of variance (ANOVA) and Bonferroni post-hoc test, with p < 0.05 considered as statistically significant. Data analysis was performed using GraphPad Prism version 5.03 for Windows (GraphPad Software, La Jolla, CA, USA).
Microarray Analysis
L6 myotubes were treated with 60 µM test compounds or DMSO for 24 h in differentiation media in three independent experiments, resulting in three replicate microarrays in each treatment group. Total RNAs were extracted with RNeasy Mini kit (Qiagen. Hilden, Germany) and RNA quality was assessed with the Agilent Bioanalyzer 2100 (Agilent Technologies, Espoo, Finland). Total RNA (200 ng) was converted to cDNA with AffinityScript RNase Block (Agilent Technologies), labelled according to manufacturer’s instructions (Agilent Technologies) and purified using RNeasy mini spin columns (Qiagen). RNA Spike-In Kit (Exiqon, Vedbaek, Denmark) was used to monitor the success of the labelling. Samples were then mixed with blocking agent, fragmentation and hybridization buffer, and were hybridized to Agilent SurePrint G3 Rat GE 8 × 60 K Microarrays for 17 h at 65 °C before washing and scanning with Agilent Scanner G2505C using manufacturer’s protocols. Agilent Feature Extraction software was used to extract data from raw microarray image files.
The data was processed with limma package of the Bioconductor software (http://www.bioconductor.org)44. Microarray data are MIAME compliant. Differentially expressed transcripts were analysed by Bayes moderated t-statistics followed by Benjamini-Hochberg’s correction method to control false discovery rate (FDR)44,45, with significance threshold set at p < 0.05. Heat map and clustering analysis of the transcripts were made with the R heatmap.2 function for Gene Ontology (GO) gene sets.
Data availability
Microarray raw data have been deposited in the NCBI Gene Expression Omnibus (GEO), accession no. GSE90833). Other datasets generated during the current study are available from the corresponding author on reasonable request.
Electronic supplementary material
Acknowledgements
We thank Eija Pirinen for advice on FOXO1 acetylation analysis, Kirsi Rilla for advice on microscopy and Mikko Kivento for carrying out the bioinformatics on microarray analysis at the Functional Genomics Unit of the University of Helsinki. This work was financially supported by the Academy of Finland, Diabetes Wellness Finland, Finnish Diabetes Research Foundation, Sigrid Jusélius Foundation and Strategic Research Funding from the University of Eastern Finland. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Author Contributions
S.M., N.Y., T.K. and M.L. conceived and designed the experiments. S.M., N.Y. and T.K. performed the experiments and analysed the data. S.M., T.K. and M.L. wrote the manuscript. All authors revised the text and approved the final version of the manuscript.
Competing Interests
The authors declare that they have no competing interests.
Footnotes
Tarja Kokkola and Markku Laakso contributed equally to this work.
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-017-17840-x.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Microarray raw data have been deposited in the NCBI Gene Expression Omnibus (GEO), accession no. GSE90833). Other datasets generated during the current study are available from the corresponding author on reasonable request.