Skip to main content
eLife logoLink to eLife
. 2024 Jun 24;12:RP90724. doi: 10.7554/eLife.90724

Eugenol mimics exercise to promote skeletal muscle fiber remodeling and myokine IL-15 expression by activating TRPV1 channel

Tengteng Huang 1,, Xiaoling Chen 1,, Jun He 1, Ping Zheng 1, Yuheng Luo 1, Aimin Wu 1, Hui Yan 1, Bing Yu 1, Daiwen Chen 1, Zhiqing Huang 1,
Editors: Christopher L-H Huang2, Christopher L-H Huang3
PMCID: PMC11196110  PMID: 38913071

Abstract

Metabolic disorders are highly prevalent in modern society. Exercise mimetics are defined as pharmacological compounds that can produce the beneficial effects of fitness. Recently, there has been increased interest in the role of eugenol and transient receptor potential vanilloid 1 (TRPV1) in improving metabolic health. The aim of this study was to investigate whether eugenol acts as an exercise mimetic by activating TRPV1. Here, we showed that eugenol improved endurance capacity, caused the conversion of fast-to-slow muscle fibers, and promoted white fat browning and lipolysis in mice. Mechanistically, eugenol promoted muscle fiber-type transformation by activating TRPV1-mediated CaN signaling pathway. Subsequently, we identified IL-15 as a myokine that is regulated by the CaN/nuclear factor of activated T cells cytoplasmic 1 (NFATc1) signaling pathway. Moreover, we found that TRPV1-mediated CaN/NFATc1 signaling, activated by eugenol, controlled IL-15 levels in C2C12 myotubes. Our results suggest that eugenol may act as an exercise mimetic to improve metabolic health via activating the TRPV1-mediated CaN signaling pathway.

Research organism: Mouse

Introduction

Due to the lack of regular exercise among many individuals (Carlson et al., 2010), metabolic diseases are highly prevalent in modern society (Hoehn et al., 2010). To address this issue, pharmacological interventions have been considered as potential treatments. Exercise mimetics are pharmacological compounds that produce fitness benefits (Fan and Evans, 2017). Although some synthetic exercise mimetics such as AICAR (AMPK activator), GW501516 (PPARδ activator), SRT1720 (SIRT1 activator), and GSK4716 (ERRγ activator) have been used to improve fitness (Feige et al., 2008; Narkar et al., 2008; Rangwala et al., 2010), the safety and health of each drug must be considered. In recent years, plant extracts such as resveratrol, lycium barbarum, and epicatechin have demonstrated potential as a new class of low-toxin exercise mimetics (Meng et al., 2020; Nogueira et al., 2011; Wen et al., 2020). Therefore, it is of great significance to discover natural medicinal and edible plants that have mimetic effects of exercise.

Based on their metabolism and contractile properties, muscle fibers are commonly divided into slow oxidative fibers (muscle fibers that express myosin heavy chain (MyHC) I) and fast glycolytic/oxidative fibers (muscle fibers that express MyHC IIa, MyHC IIx, or MyHC IIb) (Schiaffino and Reggiani, 2011). Different muscle fibers exhibit a high degree of plasticity and are regulated by exercise (Egan and Zierath, 2013). The increased proportion of slow muscle fibers contributes to the enhancement of mitochondrial biogenesis and lipid metabolism (Carlson et al., 2010). Therefore, one of the benefits of exercise is to treat metabolic disorders by promoting slow muscle fiber remodeling (Duan et al., 2017). In addition, it has been increasingly recognized that myokines released by skeletal muscle play an essential role in mediating the benefits of exercise. Myokines are defined as cytokines or peptides that are released from skeletal muscle cells, which exert autocrine, paracrine, or endocrine effects (Pedersen and Febbraio, 2012). As a medium of crosstalk between muscles and other organs, myokines exert systemic regulation of exercise by acting on the muscle, fat, liver, pancreas, and other organs, effectively improving insulin resistance, obesity, and metabolic disorders of type 2 diabetes (Severinsen and Pedersen, 2020). Therefore, another potential effect of exercise is to induce the release of myokines (Fan and Evans, 2017). Although many previous studies have discovered plant extracts as exercise mimetics by promoting slow oxidative muscle fiber, few studies have investigated the effect of exercise mimetics on the release of myokines.

Eugenol is a safe natural compound extracted from clove oil and various plant spices such as basil, bay leaves, and cinnamon (Kaur et al., 2010). Eugenol exhibits a variety of biological activities, including antioxidative (Magalhães et al., 2019), antibacterial (Devi et al., 2010), anti-inflammatory (Magalhães et al., 2019), and anti-cancer activities (Lesgards et al., 2014). Recent studies have also suggested that eugenol could be a promising therapeutic drug for preventing diabetes and obesity (Al Trad et al., 2019; Jung et al., 2012; Mnafgui et al., 2013; Srinivasan et al., 2014), indicating its potential as an exercise mimetic. In addition, as a member of the transient receptor potential (TRP) channel family, TRP vanilloid 1 (TRPV1), also known as the capsaicin receptor, has been reported to improve endurance capacity and energy metabolism (Luo et al., 2012), counter obesity (Baskaran et al., 2016), and intervene diabetes (Wang et al., 2012), making it a potential target protein for discovering exercise mimetics.

Eugenol contains a vanilloyl fragment that may bind to TRPV1 similarly to capsaicin, implying that eugenol might exert its biological activity via TRPV1 (Harb et al., 2019). It has been found that eugenol activates TRPV1 in a heterologous expression system and rat trigeminal ganglion neurons (Xu et al., 2006; Yang et al., 2003). Furthermore, a recent study demonstrated that eugenol activated TRPV1 in skeletal muscle (Jiang et al., 2022). TRPV1 is an important Ca2+ entry pathway contributing to increase intracellular Ca2+ (Nilius et al., 2007), suggesting that TRPV1 may regulate many biological processes through Ca2+-dependent signaling pathways. As a Ca2+-dependent signaling, calcineurin (CaN) is a core signaling to promote fast-to-slow muscle fiber transformation (Sakuma and Yamaguchi, 2010). Additionally, CaN signaling plays an essential role in regulating the expression of myokine IL-6 (Banzet et al., 2005; Banzet et al., 2007). Therefore, we hypothesize that eugenol, as an exercise mimetic, promotes the release of myokines and fast-to-slow muscle fiber transformation via the TRPV1-mediated CaN signaling pathway. The primary objective of this study is to investigate this hypothesis.

Results

Eugenol promotes fast-to-slow muscle fiber transformation in mice and in C2C12 myotubes

As depicted in Figure 1A and B, eugenol did not have any effect on the body weight or skeletal muscle weight in mice. However, the skeletal muscle in the EUG50 and EUG100 groups exhibited a redder muscle color (Figure 1C), indicating a shift from fast-to-slow muscle fiber in these two groups. Further experiments showed that EUG50 and EUG100 increased the expression of slow MyHC and decreased the expression of fast MyHC protein in gastrocnemius (GAS) and tibialis anterior (TA) muscles (Figure 1D and E). Additionally, the mRNA expression of Myh7, Myh2, Myh1, and Myh4 was generally consistent with protein expression (Figure 1G). As our in vivo studies demonstrated that the EUG200 group had no effect on muscle fiber type, we suspected that high doses of eugenol may have no impact on muscle fiber type. Therefore, we selected a broad range of eugenol doses (0–200 μM) based on the safe range of eugenol doses determined by the CCK-8 assay (Figure 1—figure supplement 1) to treat C2C12 myotubes and replicate these results in vivo. As indicated in Figure 1F, 12.5–50 μM eugenol boosted slow MyHC expression, while 12.5–100 μM eugenol decreased fast MyHC expression. Furthermore, as shown in Figure 1H, 100 μM eugenol increased the mRNA expression of Myh7, and 12.5–100 μM eugenol increased the mRNA expression of Myh2, whereas 50 μM eugenol decreased the mRNA expression of Myh4. Consistent with our in vivo studies, our in vitro findings again suggested that high doses (200 μM) of eugenol had no effect on muscle fiber type. In summary, our results suggest that eugenol promotes a transformation from fast-to-slow muscle fiber. However, it should be noted that high doses of eugenol may have no effect on muscle fiber type.

Figure 1. Eugenol promotes the transformation of fast-to-slow muscle fiber.

(A) The body weight of the mice. (B, C) Skeletal muscle weight and representative images of skeletal muscle. (D–F) The protein expression of muscle fiber type in gastrocnemius (GAS) and tibialis anterior (TA) muscle and in C2C12 myotubes. (G, H) The mRNA expression of muscle fiber type in GAS and TA muscle and in C2C12 myotubes. For A, N=20 per group. For B, N=14 per group. For D and E, N=3 per group. For F and H, N=4 per group. For G, N=6 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.

Figure 1—source data 1. The body weight of the mice (Figure 1A).
Figure 1—source data 2. Skeletal muscle weight (Figure 1B).
Figure 1—source data 3. Representative images of skeletal muscle (Figure 1C).
Figure 1—source data 4. Original files for the western blot analysis (Figure 1D).
Figure 1—source data 5. PDF containing Figure 1D and original scans of the relevant western blot analysis, with cropped areas.
Figure 1—source data 6. Original files for the western blot analysis (Figure 1E).
Figure 1—source data 7. PDF containing Figure 1E and original scans of the relevant western blot analysis, with cropped areas.
Figure 1—source data 8. Original files for the western blot analysis (Figure 1F).
Figure 1—source data 9. PDF containing Figure 1F and original scans of the relevant western blot analysis, with cropped areas.
Figure 1—source data 10. The mRNA expression of muscle fiber type in gastrocnemius (GAS) and tibialis anterior (TA) muscle (Figure 1G).
Figure 1—source data 11. The mRNA expression of muscle fiber type in C2C12 myotubes (Figure 1H).

Figure 1.

Figure 1—figure supplement 1. Effect of eugenol on C2C12 cell viability.

Figure 1—figure supplement 1.

Cells were treated with 0, 12.5, 25, 50, 100, 200 μM eugenol (EUG) for 1 day after 4 days of differentiation. The C2C12 cell viability was measured using CCK-8 kit. N=5 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.
Figure 1—figure supplement 1—source data 1. The C2C12 cell viability was measured using CCK-8 kit.

Eugenol promotes oxidative metabolism activity, mitochondrial function, and endurance performance

An increase in the proportion of slow muscle fibers is often accompanied by an increase in skeletal muscle oxidative metabolism activity, mitochondrial function, and endurance performance. Therefore, we examined these indicators in our study. As shown in Figure 2A, EUG100 increased the exhaustion time of mice. As shown in Figure 2B, EUG50 and EUG100 decreased lactate dehydrogenase (LDH) activity and increased succinic dehydrogenase (SDH) activity in the GAS muscle. In the TA muscle, LDH activity was decreased in all EUG groups, and EUG100 increased the activities of SDH and malate dehydrogenase (MDH). Then, we chose 100 mg/kg eugenol (as the optimal dose) for the exhausting swimming test. In addition, the transcript levels of mitochondrial transcription factors Pgc1a, Nrf1, and Tfam and the mRNA expression of components of the mitochondrial electron transport chain were increased in eugenol-treated mice (Figure 2C). The protein expression of mitochondrial electron transport complex I and complex V was upregulated in eugenol-treated mice (Figure 2D). Furthermore, EUG100 improved the mtDNA copy number in the GAS and TA muscle (Figure 2E), and 12.5–100 μM EUG increased the mtDNA copy number in C2C12 myotubes (Figure 2F).

Figure 2. Eugenol promotes oxidative metabolism activity, mitochondrial function, and endurance performance of mice.

Figure 2.

(A) The effect of eugenol on exhausting swimming time in mice. (B) The effect of eugenol on metabolism enzymes activity in gastrocnemius (GAS) and tibialis anterior (TA) muscle. (C) The heatmap for the mRNA expression of genes encoding mitochondrial complex components and transcription factors controlling mitochondrial biogenesis in GAS muscle. Color gradient represents relative mRNA expression with darker colors indicating higher expression. (D) Protein expression of mitochondrial electron transport complexes in GAS muscle. Complex I (NDUFA1), complex II (SDHA), complex III (UQCRC1), complex IV (MTCO1), and complex V (ATP5B). (E) mtDNA copy number in muscles. (F) mtDNA copy number in C2C12 myotubes. For A, N=15 per group. For B, N=6 per group. For C and F, N=4 per group. For D, N=3 per group. For E, N=6 per group. One-way ANOVA test was used to determine statistical significance for B and F, student’s t-test was used to determine statistical significance for other panels. #p<0.1, *p<0.05, **p<0.01, and ***p<0.001.

Figure 2—source data 1. Exhausting swimming time in mice (Figure 2A).
Figure 2—source data 2. Metabolism enzymes activity in gastrocnemius (GAS) and tibialis anterior (TA) muscle (Figure 2B).
Figure 2—source data 3. The mRNA expression of genes encoding mitochondrial complex components and transcription factors controlling mitochondrial biogenesis in gastrocnemius (GAS) muscle (Figure 2C).
Figure 2—source data 4. Original files for the western blot analysis (Figure 2D).
Figure 2—source data 5. PDF containing Figure 2D and original scans of the relevant western blot analysis, with cropped areas.
Figure 2—source data 6. mtDNA copy number in muscles (Figure 2E).
Figure 2—source data 7. mtDNA copy number in C2C12 myotubes (Figure 2F).

Eugenol promotes lipolysis and browning of fat

Our research has found that both EUG100 and EUG200 promoted average daily feed intake (ADF) (Figure 3A). However, interestingly, there was no change in body weight (Figure 1A). This indicates that there was an increase in ADF/average daily weight gain (ADG) (Figure 3A). In addition, eugenol decreased inguinal white adipose tissue (iWAT) and gonadal white adipose tissue (gWAT) weight while promoting brown adipose tissue (BAT) weight (Figure 3B). And eugenol decreased T-CHO and LDL while increasing HDL level in serum (Figure 3C). These apparent results suggest that eugenol may increase the energy metabolism rate in mice, offsetting the weight gain and increased fat synthesis resulting from increased food intake. Therefore, we further speculate that eugenol may promote lipolysis and fat thermogenesis. As we speculated, we found that eugenol promoted the mRNA expression of the fat synthesis-related genes Pparg and Hsl, as well as the fatty acid transport gene Fabp4, in iWAT (Figure 3D). In gWAT, it was found that eugenol promoted the mRNA expression of the Fasn and Fabp4 (Figure 3D). We further examined the mRNA expression of key genes involved in browning of fat, and found that eugenol promoted the mRNA expression of Cd137, Tbx1, Ucp1, Prdm16, Dio2, and Cidea in iWAT, while eugenol promoted the mRNA expression of Tmem26, Ucp1, Prdm16, Dio2, and Cidea in gWAT (Figure 3E). At the protein level, eugenol promoted the expression of the fatty acid transport protein FABP-1, as well as the UCP-1 protein expression in gWAT (Figure 3F). In addition, we also examined the effects of eugenol on the browning-related proteins and mitochondrial complex proteins in BAT. It was found that eugenol promoted the UCP-1 and PGC-1α protein expression (Figure 3G), as well as the mitochondrial electron transport complex III and complex V protein expression (Figure 3H). Together, these results indicate that eugenol promotes lipolysis and browning of fat.

Figure 3. Eugenol enhances lipolysis and thermogenesis.

Figure 3.

(A) The average daily feed intake (ADF) and the ration of ADF to average daily weight gain (ADG). (B) Tissue weight of adipose weight. (C) The level of T-CHO, LDL, and HDL in serum. (D) The mRNA expression of genes related to lipolysis, lipogenesis, and lipid transport in inguinal white adipose tissue (iWAT) and gonadal white adipose tissue (gWAT). (E) The mRNA expression of genes related to adipose browning and thermogenesis in iWAT and gWAT. (F) The protein expression of FABP1 and UCP1 in iWAT and gWAT. (G) The expression of protein related to adipose browning and thermogenesis in brown adipose tissue (BAT). (H) The protein expression of mitochondrial electron transport complexes in BAT. For A, N=20 per group. For B, N=14 per group. For C, N=8 per group. For D and E, N=6 per group. For F and H, N=3 per group. One-way ANOVA test was used to determine statistical significance for A-C, student’s t-test was used to determine statistical significance for other panels. #p<0.1, *p<0.05, **p<0.01, and ***p<0.001.

Figure 3—source data 1. The average daily feed intake (ADF) and the ration of ADF to average daily weight gain (ADG) (Figure 3A).
Figure 3—source data 2. Tissue weight of adipose weight (Figure 3B).
Figure 3—source data 3. The level of T-CHO, LDL, and HDL in serum (Figure 3C).
Figure 3—source data 4. The mRNA expression of genes related to lipolysis, lipogenesis, and lipid transport in inguinal white adipose tissue (iWAT) and gonadal white adipose tissue (gWAT) (Figure 3D).
Figure 3—source data 5. The mRNA expression of genes related to adipose browning and thermogenesis in inguinal white adipose tissue (iWAT) and gonadal white adipose tissue (gWAT) (Figure 3E).
Figure 3—source data 6. Original files for the western blot analysis (Figure 3F).
Figure 3—source data 7. PDF containing Figure 3F and original scans of the relevant western blot analysis, with cropped areas.
Figure 3—source data 8. Original files for the western blot analysis (Figure 3G).
Figure 3—source data 9. PDF containing Figure 3G and original scans of the relevant western blot analysis, with cropped areas.
Figure 3—source data 10. Original files for the western blot analysis (Figure 3H).
Figure 3—source data 11. PDF containing Figure 3H and original scans of the relevant western blot analysis, with cropped areas.

Eugenol activates TRPV1-mediated CaN/NFATc1 signaling pathway in skeletal muscle

Based on the gene expression profiling, it was observed that TRPV1 is expressed in all tissues, including adipose and muscle tissues, with the highest expression in skeletal muscle compared to other TRP channels (Figure 4A and Figure 4—figure supplement 1A). Quantitative PCR (qPCR) analysis confirmed the expression of TRPV1 and TRPV2 in skeletal muscle, and the mRNA expression of only Trpv1 was promoted by EUG50 and EUG100 in TA muscle. In C2C12 cells, only TRPV1-4 were expressed, and only Trpv1 mRNA expression was promoted by 25 and 50 μM eugenol (Figure 4C). Adipose tissue expressed TRPV1 and TRPV2 genes, and EUG100 and EUG200 promoted Trpv1 mRNA expression, while EUG50 promoted Trpv2 mRNA expression (Figure 4—figure supplement 1B and C). The effect of eugenol on TRPV1 protein expression was consistent with its effect on Trpv1 mRNA expression in both skeletal muscle tissue and C2C12 cells (Figure 4D–F). Moreover, taking the TRPV1-capsaicin binding sites (TYR511, SER512, THR550, and GLU570) (Carnevale and Rohacs, 2016) as the potential binding pocket, molecular docking analysis showed that eugenol bound at the binding pocket and interacted with THR550, ASN551, LEU553, TYR554, ALA566, ILE569, GLU570, and ILE573 (Figure 4—figure supplement 2). Based on the above results, we conclude that eugenol has the potential to activate TRPV1 in both skeletal muscle and adipose tissue. We further investigated the TRPV1-mediated CaN/NFATc1 signaling pathway in skeletal muscle. CnA is a catalytic subunit of CaN, and its expression level reflects the activity of CaN. Our results showed that EUG50 and EUG100 increased CnA protein expression in the GAS and TA muscles (Figure 4D and E), and 12.5–100 μM eugenol promoted CnA protein expression in C2C12 myotubes (Figure 4F). The regulator of calcineurin 1 (MCIP1) is a biomarker to reflect the CaN activity (Yang et al., 2000), the mRNA expression of Mcip1 was increased in EUG100 groups (Figure 4—figure supplement 3). Furthermore, the nuclear translocation of NFATc1 was promoted by EUG50 and EUG100 in the GAS and TA muscles, and by 12.5–50 μM eugenol in C2C12 myotubes (Figure 4G–I). In summary, our in vivo and in vitro studies both suggest that eugenol can activate the TRPV1-mediated CaN/NFATc1 signaling pathway in skeletal muscle. Interestingly, similar to the effects of eugenol on muscle fiber types, we again found that high doses of eugenol have no effect on the signaling pathway.

Figure 4. Eugenol activated TRPV1-mediated CaN/NFATc1 signaling pathway.

(A) The gene expression profile of transient receptor potential (TRP) channels in skeletal muscle was obtained from the GTEx dataset in The Human Protein Atlas (https://www.proteinatlas.org/). (B, C) The mRNA expression of TRP channels in tibialis anterior (TA) muscle and C2C12 myotubes. (D–F) The TRPV1 and CnA protein expression in gastrocnemius (GAS) and TA muscle and in C2C12 myotubes. (G–I) The protein expression of NFATc1 in GAS and TA muscle and in C2C12 myotubes. For B, N=6 per group. For C, F, and I, N=4 per group. For D, E and G, H, N=3 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.

Figure 4—source data 1. The gene expression profile of transient receptor potential (TRP) channels in skeletal muscle (Figure 4A).
Figure 4—source data 2. The mRNA expression of transient receptor potential (TRP) channels in tibialis anterior (TA) muscle (Figure 4B).
Figure 4—source data 3. The mRNA expression of transient receptor potential (TRP) channels in C2C12 myotubes (Figure 4C).
Figure 4—source data 4. Original files for the western blot analysis (Figure 4D).
Figure 4—source data 5. PDF containing Figure 4D and original scans of the relevant western blot analysis, with cropped areas.
Figure 4—source data 6. Original files for the western blot analysis (Figure 4E).
Figure 4—source data 7. PDF containing Figure 4E and original scans of the relevant western blot analysis, with cropped areas.
Figure 4—source data 8. Original files for the western blot analysis (Figure 4F).
Figure 4—source data 9. PDF containing Figure 4F and original scans of the relevant western blot analysis, with cropped areas.
Figure 4—source data 10. Original files for the western blot analysis (Figure 4G).
Figure 4—source data 11. PDF containing Figure 4G and original scans of the relevant western blot analysis, with cropped areas.
Figure 4—source data 12. Original files for the western blot analysis (Figure 4H).
Figure 4—source data 13. PDF containing Figure 4H and original scans of the relevant western blot analysis, with cropped areas.
Figure 4—source data 14. Original files for the western blot analysis (Figure 4I).
Figure 4—source data 15. PDF containing Figure 4I and original scans of the relevant western blot analysis, with cropped areas.

Figure 4.

Figure 4—figure supplement 1. Transient receptor potential (TRP) channels expression profiles and Trpv1 mRNA expression in adipose tissue.

Figure 4—figure supplement 1.

The gene expression profile was obtained from the GTEx dataset in The Human Protein Atlas (https://www.proteinatlas.org/). (A) TRPV1 expression profiles in tissues. (B) TRP channels expression profiles in adipose tissue. (C) The mRNA expression of TRP channels in adipose tissue. For C, N=6 per group. One-way ANOVA test was used to determine statistical significance. #p<0.1, *p<0.05, **p<0.01, and ***p<0.001.
Figure 4—figure supplement 1—source data 1. Transient receptor potential (TRP) channels expression profiles in adipose tissue (Figure 4—figure supplement 1B).
Figure 4—figure supplement 1—source data 2. The mRNA expression of transient receptor potential (TRP) channels in adipose tissue (Figure 4—figure supplement 1C).
Figure 4—figure supplement 2. Molecular docking for eugenol and TRPV1.

Figure 4—figure supplement 2.

The capsaicin binding sites (TYR511, SER512, THR550, and GLU570) were selected as the binding pocket. The figure showed TRPV1 amino acid residues interacting with eugenol and the intermolecular force.
Figure 4—figure supplement 3. The mRNA expression of Mcip1.

Figure 4—figure supplement 3.

N=6 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.
Figure 4—figure supplement 3—source data 1. The mRNA expression of Mcip1.

Eugenol promotes fast-to-slow muscle fiber transformation by activating TRPV1-mediated CaN/NFATc1 signaling pathway

To further investigate the role of TRPV1 in regulating fast-to-slow muscle fibers, we treated C2C12 myotubes with 25 μM eugenol and either 1 μM TRPV1 inhibitor AMG-517 or 0.5 μM CaN inhibitor cyclosporine A (CsA). The results showed that TRPV1 inhibition weakened the increase in intracellular Ca2+ levels induced by eugenol, suggesting that eugenol acts via TRPV1 (Figure 5A). Furthermore, the inhibition of TRPV1 and CaN attenuated the effect of eugenol on CaN (Figure 5B). In addition, eugenol increased the mitochondrial electron transport complex I, II, III, and V protein expression, the inhibition of TRPV1 and CaN attenuated the effect of eugenol on complex I, III, and V (Figure 5C). Importantly, immunofluorescence and western blot analysis revealed that eugenol promoted the fast-to-slow muscle fiber transformation, while the inhibition of TRPV1 and CaN eliminated this effect (Figure 5D and Figure 5E).

Figure 5. Eugenol promotes fast-to-slow muscle fiber transformation by activating TRPV1-mediated CaN/NFATc1 signaling pathway.

Figure 5.

C2C12 myotubes were treated by 25 μM eugenol and 1 μM TRPV1 inhibitor AMG-517 or 0.5 μM CaN inhibitor cyclosporine A (CsA) for 1 day after 4 days of differentiation. (A) The flow cytometry assay was used to detect Ca2+ levels in C2C12 myotubes; FITC means the fluo-4 fluorescence and SSC means side scatter. (B) Western blot was used to detect CnA protein expression in C2C12 myotubes. (C) Western blot was used to detect mitochondrial electron transport complexes protein expression in C2C12 myotubes. (D) Western blot was used to detect slow myosin heavy chain (MyHC) and fast MyHC protein expression in C2C12 myotubes. (E) Representative immunofluorescence images of slow MyHC (green fluorescence) and relative mean fluorescence intensity quantification. Magnification: ×200. For A–D, N=4 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.

Figure 5—source data 1. The flow cytometry assay (Figure 5A).
Figure 5—source data 2. Original files for the western blot analysis (Figure 5B).
Figure 5—source data 3. PDF containing Figure 5B and original scans of the relevant western blot analysis, with cropped areas.
Figure 5—source data 4. Original files for the western blot analysis (Figure 5C).
Figure 5—source data 5. PDF containing Figure 5C and original scans of the relevant western blot analysis, with cropped areas.
Figure 5—source data 6. Original files for the western blot analysis (Figure 5D).
Figure 5—source data 7. PDF containing Figure 5D and original scans of the relevant western blot analysis, with cropped areas.
Figure 5—source data 8. Representative immunofluorescence images of slow myosin heavy chain (MyHC) (Figure 5E).

The myokines regulated by CaN

To investigate which myokines are controlled by CaN, C2C12 myotubes were treated with the Ca2+ ionophore A23187. As shown in Figure 6A–C, A23187 increased the mRNA expression of MCIP1, the protein expression of CnA, and CaN activity. We chose 0.5 μM A23187 for subsequent experiments and confirmed that it increased intracellular Ca2+ levels (Figure 6D). To identify CaN-controlled myokines, we next detected the mRNA expression of several myokines that have been well documented to improve metabolic homeostasis (Eckel, 2019; Whitham and Febbraio, 2016) and promote fast-to-slow muscle fiber transformation (Correia et al., 2021; Knudsen et al., 2020; Men et al., 2021; Quinn et al., 2013; Table 1). As shown in Figure 6E, A23187 significantly increased the mRNA expression of Fndc5, Il6, Il15, and Metrnl. However, Il13 mRNA expression was not detected in C2C12 myotubes. In addition, a correlation heatmap showed the highest correlation coefficient (R=0.954) between Mcip1 expression and Il15 expression, followed by Mcip1 and Il6 (R=0.846), Mcip1 and Metrnl (0.77), and Mcip1 and Fndc5 (0.651) (Figure 6F). Furthermore, a TFBS prediction revealed more potential binding sites between the Il15 promoter and NFATc1 (Figure 6G). Based on the correlation and TFBS analysis, it was suggested that IL-15 is the myokine most likely to be regulated by the CaN/NFATc1 signaling pathway, and we selected it for further study.

Figure 6. The myokines controlled by calcineurin (CaN).

Figure 6.

C2C12 myotubes were treated for 16 hr with 0, 0.1, 0.5, and 1 μM Ca2+ ionophore after 2 days of differentiation. (A) The mRNA expression of Mcip1. (B) The protein expression of CnA. (C) The enzyme activity of CaN. (D) Fluo-4 was used to stain the Ca2+ and the flow cytometry assay was used to detect Ca2+ fluorescence in C2C12 myotubes in control and 0.5 μM A23187 groups. (E) The heatmap for the myokines mRNA expression in control and 0.5 μM A23187 groups. Color gradient represents relative mRNA expression with darker colors indicating higher expression. (F) Correlation analysis of gene expression values of myokines and MCIP1 gene performed by linear regression with Pearson’s correlation coefficient (r). Color gradient represents correlation coefficient with darker colors indicating higher positive correlation. (G) The number of binding sites for transcription factors NFATc1 were predicted by hTFtarget and JASPAR. For A, N=6 per group. For B and C, N=3 per group. For D, N=4 per group. For E, N=6 per group. One-way ANOVA test was used to determine statistical significance for A-C, student’s t-test was used to determine statistical significance for other panels. *p<0.05, **p<0.01, and ***p<0.001.

Figure 6—source data 1. The mRNA expression of Mcip1 (Figure 6A).
Figure 6—source data 2. Original files for the western blot analysis (Figure 6B).
Figure 6—source data 3. PDF containing Figure 6B and original scans of the relevant western blot analysis, with cropped areas.
Figure 6—source data 4. The enzyme activity of calcineurin (CaN) (Figure 6C).
Figure 6—source data 5. The flow cytometry assay (Figure 6D).
Figure 6—source data 6. The myokines mRNA expression (Figure 6E).
Figure 6—source data 7. Correlation analysis of gene expression values (Figure 6F).

Table 1. Myokines to be tested in our study.

Myokines References
Myokines that improve metabolic homeostasis CX3CL1, FGF21, FNDC5, IL-6, IL-8, IL-15 Whitham and Febbraio, 2016
Metrnl, FGF21, FNDC5, Myonectin (Erfe) Eckel, 2019
Myokines that improve endurance capacity and promote fast-to-slow muscle fiber transformation FNDC5 Men et al., 2021
IL-13 Knudsen et al., 2020
IL-15 Quinn et al., 2013
Neurturin (Nrtn) Correia et al., 2021

The myokine IL-15 expression depends on CaN/NFATc1 signaling pathway

Firstly, it was observed that treatment with 0.5 and 1 μM Ca2+ ionophore led to upregulation of IL-15 protein expression (Figure 7A). Subsequently, we treated C2C12 myotubes with 0.5 μM Ca2+ ionophore and 0.5 μM CsA to investigate their effects. We found that Ca2+ ionophore treatment upregulated the expression of CnA, NFATc1, and IL-15 proteins, while inhibition of CaN eliminated these effects (Figure 7B–D). Furthermore, Ca2+ ionophore treatment increased the expression of slow MyHC and decreased the expression of fast MyHC, while CsA blocked this effect (Figure 7—figure supplement 1). Based on the transcription factor motif databases (JASPAR and hIFtarget), it was predicted that a sequence (5’-AATGGAAAA-3’) in the promoter regions of IL-15 was a potential binding site of NFATc1 (Figure 7E), and DNA-protein docking analysis also revealed a high probability of binding between this sequence and the NFATc1 protein (Figure 7F). We then performed an electrophoretic mobility shift assay (EMSA) to validate the binding of NFATc1 to this sequence. The probes used in the EMSA were shown in Figure 7G and the EMSA results were shown in Figure 7H. We observed upward migration bands when the C2C12 nuclear protein extract (NE) was incubated with the bio-NFATc1 probe (lanes 2–4), and compared to the control (lane 2) and CsA inhibition group (lane 4), Ca2+ treatment group showed higher expression of the band (lane 3). Moreover, the use of competing cold-NFATc1 probes showed no upward migration band (lane 5), while using the mut-NFATc1 probe again showed the band (lane 6). These findings suggest that NFATc1 may bind to the promoter of IL-15. We further investigated whether NFATc1 transcriptionally activates IL-15 through luciferase reporter assays. As shown in Figure 7I, overexpression of NFATc1 promoted NFATc1 protein expression in HEK293T cells. Additionally, after transfection with the IL-15 reporter plasmid, overexpression of NFATc1 enhanced the relative fluorescence intensity (Figure 7J), suggesting that the transcriptional activation of IL-15 is regulated by NFATc1.

Figure 7. The myokine IL-15 expression depends on CaN/NFATc1 signaling pathway.

(A) C2C12 myotubes were treated for 16 hr with 0, 0.1, 0.5, and 1 μM Ca2+ ionophore after 2 days of differentiation. The protein expression of IL-15. (B–D) C2C12 myotubes were treated by 0.5 μM A23187 and 0.5 μM cyclosporine A (CsA) for 16 hr after 2 days of differentiation. The protein expression of CnA, NFATc1, and IL-15. (E) Sequence logo of NFATc1 motif and the predicted NFATc1 binding sites in the promoter region of IL-15. (F) NFATc1 and the key sequence of IL-15 (5’-AATGAAAA-3’) docking. Confidence scores above 0.7 indicate high probability of binding, scores between 0.5 and 0.7 suggest possible binding, and scores below 0.5 indicate unlikely binding. (G) The probe sequence of NFATc1. The underline represents the predicted binding site of NFATc1, bio-NFATc1 means oligonucleotide probes that labeled with biotin at the 5’ end, cold-NFATc1 means oligonucleotide probes that did not label with biotin, mu-NFATc1 means oligonucleotide probes that were mutated at the binding site. (H) Nuclear protein extracts (NE) with NFATc1 probe were used for electrophoretic mobility shift assay (EMSA). (I) The protein expression of NFATc1 after transfecting 1 μg/mL pcDNA3.1 vector, 0.5 μg/mL or 1 μg/mL pcDNA3.1-NFATc1 in HEK293T cells. (J) The relative luciferase intensity referred to the ratio between firefly luciferase intensity and Renilla luciferase intensity. For A–D, N=3 per group. For J, N=6 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.

Figure 7—source data 1. Original files for the western blot analysis (Figure 7A).
Figure 7—source data 2. PDF containing Figure 7A and original scans of the relevant western blot analysis, with cropped areas.
Figure 7—source data 3. Original files for the western blot analysis (Figure 7B).
Figure 7—source data 4. PDF containing Figure 7B and original scans of the relevant western blot analysis, with cropped areas.
Figure 7—source data 5. Original files for the western blot analysis (Figure 7C).
Figure 7—source data 6. PDF containing Figure 7C and original scans of the relevant western blot analysis, with cropped areas.
elife-90724-fig7-data6.pdf (1,023.7KB, pdf)
Figure 7—source data 7. Original files for the western blot analysis (Figure 7D).
Figure 7—source data 8. PDF containing Figure 7D and original scans of the relevant western blot analysis, with cropped areas.
Figure 7—source data 9. Original files for the electrophoretic mobility shift assay (EMSA) analysis (Figure 7H).
Figure 7—source data 10. PDF containing Figure 7H and original scans of the relevant electrophoretic mobility shift assay (EMSA) analysis, with cropped areas.
Figure 7—source data 11. Original files for the western blot analysis (Figure 7I).
Figure 7—source data 12. PDF containing Figure 7I and original scans of the relevant western blot analysis, with cropped areas.
Figure 7—source data 13. The ratio between firefly luciferase intensity and Renilla luciferase intensity (Figure 7J).

Figure 7.

Figure 7—figure supplement 1. Ca2+ ionophore A23187 promotes the transformation of fast-to-slow muscle fiber by calcineurin (CaN) signaling pathway.

Figure 7—figure supplement 1.

(A–C) The mRNA and protein expression of muscle fiber type in C2C12 myotubes. For B, N=6 per group. For A and C, N=3 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.
Figure 7—figure supplement 1—source data 1. Original files for the western blot analysis (Figure 7—figure supplement 1A).
Figure 7—figure supplement 1—source data 2. PDF containing Figure 7—figure supplement 1A and original scans of the relevant western blot analysis, with cropped areas.
Figure 7—figure supplement 1—source data 3. The mRNA expression of muscle fiber type in C2C12 myotubes (Figure 7—figure supplement 1B).
Figure 7—figure supplement 1—source data 4. Original files for the western blot analysis (Figure 7—figure supplement 1C).
Figure 7—figure supplement 1—source data 5. PDF containing Figure 7—figure supplement 1C and original scans of the relevant western blot analysis, with cropped areas.

Eugenol promotes IL-15 level by TRPV1-mediated CaN/NFATc1 signaling pathway

We conducted further experiments to examine the effect of eugenol on IL-15 expression. Our results (Figure 8A–C) showed that EUG50 and EUG100 promoted the mRNA and protein expression of IL-15 in both GAS and TA muscle. Interestingly, in extensor digitorum longus (EDL) and soleus (SOL) muscle, which are dominated by fast and slow muscle fibers respectively, EUG100 promoted Il15 mRNA expression (Figure 8D). We also found that the mRNA expression of Il15 was higher in SOL muscle than in EDL muscle (Figure 8D). Moreover, Pearson’s correlation analysis showed that Il15 expression positively correlated with Myh7 (R=0.714) and Myh2 (R=0.774) expression, and negatively correlated with Myh4 (R=−0.568) (Figure 8D). Consistent with the mRNA expression data, the IL-15 protein expression was also higher in SOL muscle than in EDL muscle (Figure 8E). Additionally, EUG50 and EUG100 increased the concentration of IL-15 in the serum (Figure 8F). These findings suggested that IL-15 was a oxidative muscle fiber type-specific myokine that was promoted by eugenol. Our in vitro experiments showed that 25 and 50 μM eugenol increased the mRNA expression and secretion of IL-15 (Figure 9A and B), which was consistent with our in vivo experiments. In addition, the inhibition of TRPV1 and CaN decreased the upregulation of eugenol on IL-15 mRNA and protein expression (Figure 9C and D). Immunofluorescence staining with IL-15 also showed similar results (Figure 9—figure supplement 1).

Figure 8. Eugenol promotes the expression and secretion of IL-15 in skeletal muscle of mice.

Figure 8.

(A) The IL-15 mRNA expression in gastrocnemius (GAS) and tibialis anterior (TA) muscle. (B, C) The IL-15 protein expression in GAS and TA muscle. (D) Left: The mRNA expression of Myh7, Myh2, Myh4, and Il15 in extensor digitorum longus (EDL) and soleus (SOL) muscle of mice. Right: Correlation analysis of gene expression values performed by linear regression with Pearson’s correlation coefficient (r). Color gradient represents correlation coefficient with darker colors indicating higher positive correlation. (E) The protein expression of slow myosin heavy chain (MyHC), fast MyHC, and IL-15. (F) The concentration of IL-15 in serum. For A and D, N=6 per group. For B and C and E, N=3 per group. For F, N=8 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.

Figure 8—source data 1. The IL-15 mRNA expression in gastrocnemius (GAS) and tibialis anterior (TA) muscle (Figure 8A).
Figure 8—source data 2. Original files for the western blot analysis (Figure 8B).
Figure 8—source data 3. PDF containing Figure 8B and original scans of the relevant western blot analysis, with cropped areas.
Figure 8—source data 4. Original files for the western blot analysis (Figure 8C).
Figure 8—source data 5. PDF containing Figure 8C and original scans of the relevant western blot analysis, with cropped areas.
Figure 8—source data 6. The mRNA expression and correlation analysis of gene expression values (Figure 8D).
Figure 8—source data 7. Original files for the western blot analysis (Figure 8E).
Figure 8—source data 8. PDF containing Figure 8E and original scans of the relevant western blot analysis, with cropped areas.
Figure 8—source data 9. The concentration of IL-15 in serum (Figure 8F).

Figure 9. Eugenol promotes IL-15 level through TRPV1-mediated CaN/NFATc1 signaling pathway.

C2C12 myotubes were treated by 0–200 eugenol for 1 day after 4 days of differentiation. (A) The effect of eugenol on Il15 mRNA expression in C2C12 myotubes. (B) The effect of eugenol on IL-15 protein expression in the C2C12 cell medium. Coomassie staining as loading control. (C, D) C2C12 myotubes were treated by 25 μM eugenol and 1 μM TRPV1 inhibitor AMG-517 or 0.5 μM calcineurin (CaN) inhibitor cyclosporine A (CsA) for 1 day after 4 days of differentiation. The mRNA and protein expression of IL-15. N=4 per group. One-way ANOVA test was used to determine statistical significance. *p<0.05, **p<0.01, and ***p<0.001.

Figure 9—source data 1. IL-15 mRNA expression in C2C12 myotubes (Figure 9A).
Figure 9—source data 2. Original files for the western blot analysis (Figure 9B).
Figure 9—source data 3. PDF containing Figure 9B and original scans of the relevant western blot analysis, with cropped areas.
Figure 9—source data 4. IL-15 mRNA expression in C2C12 myotubes (Figure 9C).
Figure 9—source data 5. Original files for the western blot analysis (Figure 9D).
Figure 9—source data 6. PDF containing Figure 9D and original scans of the relevant western blot analysis, with cropped areas.

Figure 9.

Figure 9—figure supplement 1. Representative immunofluorescence images of IL-15.

Figure 9—figure supplement 1.

IL-15 (green fluorescence) and 4,6-diamidino-2-phenylindole (DAPI) (blue fluorescence). Magnification: ×200.

Discussion

Our study reveals that eugenol can serve as an exercise mimetic that promotes remodeling of skeletal muscle fibers and expression of the myokine IL-15 through the TRPV1-mediated CaN/NFATc1 signaling pathway. This expands the traditional biological functions of eugenol and provides a theoretical basis for its potential applications in the food and drug industry. Moreover, we identify a novel TRPV1-mediated CaN/NFATc1 signaling pathway that promotes the transformation of fast-to-slow muscle fibers. Importantly, we provide the first explanation of the mechanism underlying the release of the myokine IL-15.

TRPV1, like all other TRP channels, assembles as tetramers to form cation-permeable pores (Clapham, 2003). Initially identified as a capsaicin receptor and heat-activated ion channel that modulates pain and neurogenic inflammation (Caterina et al., 1997), subsequent studies have found that TRPV1 is expressed on many non-neural sites and plays roles in immunity, vasculature, obesity, and thermogenesis (Fernandes et al., 2012). Previous studies have also shown that capsaicin activated TRPV1 to improve endurance capacity and energy metabolism (Luo et al., 2012), counter obesity (Baskaran et al., 2016), and intervene diabetes (Wang et al., 2012). Therefore, TRPV1 is a strong target for the discovery of exercise mimetics, which drove us to search for TRPV1 agonists that may act as exercise mimetics. We focused on eugenol, a healthy and edible plant extract that may be a potential TRPV1 agonist. Since eugenol contains a vanilloyl fragment, it is possible to bind TRPV1 through a similar pattern to capsaicin. Indeed, previous studies have found that eugenol activates TRPV1 in a heterologous expression system and rat trigeminal ganglion neurons (Xu et al., 2006; Yang et al., 2003), and a recent study reported that 50 and 100 μM eugenol promoted TRPV1 expression in C2C12 myotubes (Jiang et al., 2022). In our study, we investigated the mRNA expression profile of TRP channels in C2C12 myotubes and skeletal muscle, and found that only TRPV1 mRNA was upregulated in response to eugenol treatment. Moreover, it was observed that the protein expression of TRPV1 was consistent with the mRNA expression. Our molecular docking results also indicated that eugenol bound to the capsaicin binding pockets of TRPV1. Based on these findings, we propose that eugenol specifically activates TRPV1 in skeletal muscle, rather than other TRP channels. This may be due to the relatively higher expression of TRPV1 in skeletal muscle compared to other TRP channels.

One of the benefits of exercise mimetics for body is to promote the skeletal muscle oxidative phenotype and endurance performance (Fan and Evans, 2017). Our studies showed that eugenol improved endurance performance and promoted fast-to-slow muscle fiber transformation. Slow muscle fibers are characterized by the improvement in mitochondrial function and oxidative metabolism (Choi and Kim, 2009). As expected, eugenol also promoted mitochondrial function and oxidative metabolism capacity in skeletal muscle. In a previous study, capsaicin-induced TRPV1 activation was shown to promote exercise endurance and the skeletal muscle oxidative phenotype (Wang et al., 2012). The authors suggested that TRPV1 activated calmodulin-dependent protein kinase (CaMK) by increasing intracellular Ca2+, and the activation of CaMK further activated PGC-1α, contributing to these effects (Wang et al., 2012). In skeletal muscle, the CaN signaling pathway is also an important Ca2+-mediated signal that promotes the muscle oxidative phenotype (Sakuma and Yamaguchi, 2010). CaN induces the translocation of NFATc1 to the nucleus by dephosphorylating NFATc1, thereby switching fast-to-slow muscle fibers (Calabria et al., 2009). TRPV1 activation has been shown to promote CaN activity in several other cells and tissues (Hou et al., 2019; Ma et al., 2011; Yang et al., 2018), but the link between TRPV1 and CaN signaling in skeletal muscle has not yet been established, nor has it been determined whether TRPV1 promotes muscle oxidative phenotype through the CaN/NFATc1 signaling pathway. Therefore, we investigated the role of TRPV1-mediated CaN signaling pathway in the regulation of muscle fiber types. We found that eugenol increased CaN expression through the activation of TRPV1, and that it promoted fast-to-slow muscle fiber transformation via the TRPV1-mediated CaN/NFATc1 signaling pathway. Recent studies have also found that eugenol increases muscle glucose uptake through the TRPV1/CaMK signaling pathway (Jiang et al., 2022), suggesting that both CaN and CaMK signaling may be involved in TRPV1-facilitated skeletal muscle oxidative phenotype.

Another benefit of exercise mimetics is the alleviation of obesity and improvement of metabolic health. It has been reported that an increase in slow-twitch fiber content is positively associated with reduced obesity and improved metabolic health (Carlson et al., 2010). Previous studies have shown that eugenol can reduce blood lipids in rats with hyperlipidemia (Harb et al., 2019), lower blood glucose and insulin resistance in diabetic mice (Al Trad et al., 2019; Sanae et al., 2014), and reduce hepatic lipid accumulation in high-fat-fed mice (Rodrigues et al., 2022), demonstrating its potential in improving glucose and lipid metabolism. In our study, we found that feeding eugenol under standard diet conditions may promote fat thermogenesis and browning to facilitate fat breakdown. Interestingly, it was found that capsaicin alleviated obesity and promoted white fat browning by activating the TRPV1 (Baskaran et al., 2016). Our study found that eugenol promoted TRPV1 mRNA expression in adipose tissue, indicating that eugenol may promote white fat browning through TRPV1 activation.

Exercise mimetics may exert beneficial effects on the body by promoting the release of myokines (Fan and Evans, 2017). Some myokines, such as IL-13 (Knudsen et al., 2020), IL-15 (Quinn et al., 2013), and neurturin (Correia et al., 2021), have been well documented to improve metabolic homeostasis, promote fast-to-slow muscle fiber transformation, and improve endurance capacity. However, the regulatory mechanisms for myokines expression are largely unclear. Since myokines are usually promoted by muscle contraction, and Ca2+ is the main signal in muscle contraction, CaN, downstream of Ca2+, has been considered to regulate myokine expression. CaN has been reported to regulate the expression of myokine IL-6 (Banzet et al., 2005; Banzet et al., 2007). Additionally, the transcriptional activation activity of myokines IL-4 and IL-13 is thought to be promoted by transcription factor NFATc2, which is downstream of CaN (Jacquemin et al., 2007; Zádor, 2008). Based on the correlation and TFBS analysis, it was found that IL-15 is most likely to be regulated by the CaN/NFATc1 signaling pathway in our study. IL-15 has been reported as a myokine that improves fatty acid utilization, insulin sensitivity, and endurance capacity, and prevents obesity and diabetes (Nadeau and Aguer, 2019). In different cell models, CsA-mediated inhibition of CaN decreased the release of IL-15 (Cho et al., 2002; Cho et al., 2007). Furthermore, an increase in CaN expression in 3T3-L1 cells was accompanied by an increase in IL-15 expression (Almendro et al., 2009). Our study found that the CaN/NFATc1 signaling pathway contributes to the eugenol-promoted expression of IL-15. Furthermore, we observed that the expression of IL-15 was higher in the slow-twitch SOL muscle than in the fast-twitch EDL muscle, suggesting that an increase in muscle oxidative phenotype may further promote the release of IL-15. However, the mechanism underlying how IL-15 promotes the muscle oxidative phenotype remains unclear and requires further investigation.

Apparently, an interesting finding throughout our in vitro and in vivo study was that the high doses of eugenol (200 mg/kg for mice and 200 μM eugenol for C2C12 myotubes) had no effect on TRPV1-mediated CaN/NFATc1 signaling pathway, IL-15 expression, and muscle fiber type. We suspected that high doses of eugenol may cause desensitization of TRPV1 in skeletal muscle under our study conditions. This indirectly verified that the activation of TRPV1 does promote IL-15 expression and fast-to-slow muscle fiber transformation type. It is well known that continuous activation of TRPV1 by capsaicin causes TRPV1 desensitization, which is considered to underlie the analgesic effects of capsaicin (Koplas et al., 1997). As previously reported, TRPV1 agonists promoted TRPV1 desensitization in a dose- and time-dependent manner by targeting lysosomes to degrade TRPV1 in HEK293 cells (Sanz-Salvador et al., 2012). A hypothetical model suggested that upon TRPV1 opening to allow Ca2+ influx, Ca2+/CaM binds to the CaM-binding domain of TRPV1, leading to channel inactivation, and CaN dephosphorylates TRPV1 to desensitize TRPV1 (Hasan and Zhang, 2018). However, most results on TRPV1 desensitization were obtained by capsaicin treatment of cells, and it is unknown whether high-dose eugenol promotes TRPV1 desensitization through a similar mechanism. Therefore, it is essential to select the appropriate dose of eugenol for the application of TRPV1 activators.

In conclusion, our findings indicate that eugenol can promote the transformation of fast-to-slow muscle fibers and induce the myokine IL-15 expression through the TRPV1-mediated CaN/NFATc1 signaling pathway. Moreover, our study is the first to demonstrate that the expression of IL-15 is regulated by the CaN/NFATc1 signaling pathway. These results suggest that eugenol may have potential as a novel exercise mimetic and that TRPV1 may represent a promising therapeutic target for metabolic disorders.

Materials and methods

Animals, treatments, and sample collection

A total of eighty 4-week-old male C57BL/6J mice (Dashuo Experimental Animal Co. Ltd., Chengdu, China) were divided into four treatments (n=20) using a simple randomization method. The control group were fed a basal diet supplemented with 0% eugenol (EUG, purity ≥98%, Sigma, St. Louis, MO, USA), other groups were fed a basal diet supplemented with 50, 100, and 200 mg/kg eugenol, respectively (EUG50, EUG100, and EUG200). All mice were housed in individual cages (23°C ± 2°C, 12 hr light/12 hr dark cycle) and provided with free access to feed and water. The experiment lasted for 4 weeks. The weight of mice was measured every week. At the end of the experiment, 14 mice (n=14) anesthetized with CO2 were sacrificed. After being weighed and photographed, skeletal muscle (including TA, GAS, SOL, and EDL), fat (including iWAT, gWAT, BAT) were collected and stored at –80°C for subsequent analyses. All procedures of animal experiments were performed according to the protocols approved by the Animal Care Advisory Committee of Sichuan Agricultural University under permit No. YYS20200929.

Exhausting swimming test

The forced swimming capacity test was employed in this study to evaluate the effects of eugenol on endurance capacity in mice. A total of thirty 4-week-old mice were divided into the control and EUG100 group (n=15). After 4 weeks of feeding, the mice with a load of lead wire (7% of body weight) attached to its tail were placed in individual swimming pools (25°C ± 1°C, 35 cm depth). Exhaustive swimming time was immediately recorded when the mice failed to return to the surface continuously over a 7 s time frame and showed a lack of coordinated movements.

Cell lines

The C2C12 cell lines, sourced from the Shanghai Cell Bank of the Chinese Academy of Sciences, have been authenticated using the STR profiling method and tested negative for mycoplasma.

Cell culture and treatments

C2C12 cells (Shanghai Cell Bank, Chinese Academy of Sciences, passages 3–8) were cultured in Dulbecco’s modified Eagle medium (Invitrogen, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (Gibco, Paisley, Scotland, UK), 100 mg/L streptomycin and 100 U/mL penicillin (Gibco) at 37°C in a 5% CO2 atmosphere. When cells reached ~80% confluence, 2% horse serum (Gibco) replaced 10% fetal bovine serum to induce differentiation. For eugenol treatment, cells were treated with 0, 12.5, 25, 50, 100, 200 μM EUG for 1 day after 4 days of differentiation. For Ca2+ ionophore A23187 (Sigma) treatment, cells were treated with 0, 0.1, 0.5, 1 μM A23187 for 16 hr after 2 days of differentiation, or cells were treated with 0.5 μM A23187 and 0.5 μM CsA. For the following mechanism studies, cells were treated with 25 μM EUG and 1 μM TRPV1 inhibitor AMG-517 or 0.5 μM CaN inhibitor cyclosporin A (CsA, Sigma).

Cell viability assay

Cell viability was analyzed using Cell-Counting Kit-8 (Beyotime, Jiangsu, China) to determine the safe dose of EUG on C2C12 myotubes. Briefly, cells were treated with EUG (0, 12.5, 25, 50, 100, 200, 400, 800, 1600 μM) for 1 day after 4 days of differentiation, 10 μL CCK-8 solution was then added to each well and then incubated for 1 hr at 37°C. After incubation, the OD value was immediately measured at 450 nm using the SpectraMax 190 Absorbance Plate Reader.

Measurement of intracellular calcium ion (Ca2+)

After 1 day of treatment with C2C12 myotubes in 24-well cell culture plates, the cells were digested using Trypsin-EDTA solution and transferred from each well into a centrifuge tube. The Trypsin-EDTA solution was removed and the cells were washed three times with a calcium-free PBS solution. Following this, the PBS solution was removed and 200 μL of 5 μM Ca2+ fluorescent probe Fluo-4 (Beyotime) was added to the cells and incubated at 37°C for 30 min. After the incubation, the probe was removed by washing the cells three times with PBS. Finally, Ca2+ fluorescence was detected using flow cytometry (FACSVerse, BD Biosciences, East Rutherford, NJ, USA) and analyzed using FlowJo 10.0.7 software.

Gene expression and mitochondrial DNA qPCR

Total RNA was extracted using RNA Isolater Total RNA Extraction Reagent (Vazyme, Nanjing, China) and genomic DNA was extracted using mammalian genomic DNA extraction kit (Beyotime) according to the instructions. After measuring the concentration of total RNA, total RNA reverse-transcribed to cDNA using HiScript II Q RT Supermix (Vazyme). qPCR was performed using ChamQ SYBR Color qPCR Master Mix (Vazyme) on a 7900 HT Real-time PCR system (384-cell standard block) (Applied Biosystems). Relative mtDNA was quantified by qPCR using primers for mitochondrially encoded Nd1 normalized to nuclear-encoded 36b4 (Rplp0) DNA. And Gapdh was used as an endogenous control for normal qPCR. The primer sequences are listed in Supplementary file 1.

Protein extraction and western blot

RIPA lysis buffer (Beyotime) was used to extract total protein. The nuclear protein was extracted using NE-PER Nuclear and Cytoplasmic Extraction Reagents (Thermo Fisher). Protein from conditioned media was extracted using methanol-chloroform precipitation method as previously described (Jakobs et al., 2013). Protein concentration was determined by the BCA assays, and then proteins were transferred to a nitrocellulose membrane using a wet Trans-Blot system (Bio-Rad, Hercules, CA, USA). The primary antibodies used were anti-slow MyHC (Sigma, cat. no. M8421), anti-fast MyHC (Sigma, cat. no. M4276), anti-TRPV1 (Alomone, cat. no. ACC030), anti-Calcineurin A (CnA, Abcam, cat. no. ab90540), anti-NFATc1 (Cell Signaling Technology, cat. no. #8032), anti-IL-15 (R&D Systems, cat. no. AF447), anti-PGC-1α (Proteintech, cat. no. 66369-1-Ig), anti-NDUFA9 (GeneTex, cat. no. GTX132978), anti-SDHA (GeneTex, cat. no. GTX636098), anti-UQCRC1 (GeneTex, cat. no. GTX630393), anti-MTCO1(Bioss, cat. no. bs-3953R), anti-ATP5B (GeneTex, cat. no. GTX132925), anti-FABP1 (Cell Signaling Technology, cat. no. #13368), anti-UCP-1 (Proteintech, cat. no. 23673-1-AP), anti-PRDM16 (R&D Systems, cat. no. AF6295), anti-β-actin (TransGen, cat. no. HC201-01), and anti-Histone H3 (Beyotime, cat. no. AF0009). Coomassie staining is depicted as loading control for conditioned media protein (Welinder and Ekblad, 2011). The signal was visualized using a Clarity Western ECL Substrate (Bio-Rad, Hercules, CA, USA) and a ChemiDoc XRS Imager System (Bio-Rad). The target band density was identified using Image Lab 5.1 (Bio-Rad).

Immunofluorescence

After treatment, C2C12 myotubes were washed three times (5 min each time) with phosphate-buffered saline (PBS) and fixed in Immunol Staining Fix Solution (Beyotime) for 20 min. Then C2C12 myotubes were permeabilized with 0.5% Triton X-100 for 20 min, blocked with blocking buffer for 2 hr at 37°C, incubated with the primary antibodies including slow MyHC (1:50, Sigma, Cat. No. M8421) for 16 hr, and incubated with the fluorescent secondary antibody (1:1000, Cell Signaling, USA) for 2 hr at 37°C. Finally, 4,6-diamidino-2-phenylindole (Beyotime) was used to stain cell nucleus for 10 min at room temperature. A positive signal was detected and captured using fluorescence microscopy (Lecia DMI4000 B).

Molecular-protein docking and DNA-protein docking

The protein structures of TRPV1 (PDB codes: 5IS0) and NFATc1 (PDB codes: 1A66) were downloaded from the Research Collaboratory for Structural Bioinformatics Protein Data Bank database (RCSB PDB, https://www.rcsb.org/) (Burley et al., 2019). The structure of eugenol (ZINC1411) was downloaded from the ZINC database (https://zinc.docking.org/substances/). The DNA structure was generated using Discovery Studio 2019 software (Discovery Studio 2019; BIOVIA; San Diego, CA, USA). Discovery Studio 2019 software was used to perform molecular-protein docking. HDOCK (http://hdock.phys.hust.edu.cn/) was used to perform DNA-protein docking.

Prediction of TFBS

The gene promoter sequences of mouse (upstream 2 kb) were acquired from National Center for Biotechnology Information. hIFtarget (https://guolab.wchscu.cn/hTFtarget/#!/) and JASPAR (https://jaspar.elixir.no/) applied to predict the potential NFATc1 binding sites at the promoter of genes. A putative binding sites predicted by both the tools were selected for further EMSA probes design.

Electrophoretic mobility shift assay

After synthesizing the single-stranded probes for EMSA, annealing buffer for DNA oligos (5×) (Beyotime) was used to anneal to form double-stranded DNA probes. EMSA were performed using chemiluminescent EMSA Kit (Beyotime) according to the instructions. Briefly, 10 µL reaction system with nuclease-free water, EMSA/Gel-Shift Binding Buffer, nuclear protein, and probe was transferred to a nitrocellulose membrane using a wet Trans-Blot system. The reaction system includes negative control reaction (no nuclear protein), sample reaction, probe cold competition reaction (100-fold unlabeled probe), mutation probe cold competition reaction (100-fold unlabeled mutation probe). The signal was visualized using a Clarity Western ECL Substrate (Bio-Rad, Hercules, CA, USA) and a ChemiDoc XRS Imager System (Bio-Rad).

Plasmid construction and extraction

The plasmid of pcDNA3.1 vector, pCDNA3.1-NFATc1 (the NFATc1 coding sequences were inserted into the pcDNA3.1 vector), pGL3 vector, and pGL3-IL15 (the sequence of 2 kb upstream of the IL-15 promoter sequence were inserted into the pGL3 vector) were from Tsingke Biotechnology Co., Ltd (Beijing, China). Plasmid amplification is provided in Escherichia coli bacteria cells. Plasmid Maxi Preparation Kit for All Purpose (Beyotime) was used to extract plasmids.

Dual-luciferase reporter gene assay

HEK293T cells in 48-well plates were transfected with pcDNA3.1 together with pGL3 or pcDNA3.1-NFATc1 together with pGL3 or pcDNA3.1 together with pGL3-IL15 or pcDNA3.1-NFATC1 together with pGL3-IL15. Luciferase activity was detected by a Dual-Luciferase assay kit (Beyotime) with Glomax 96 microplate luminometer (Promega) in luminometer mode. The raw values of firefly luciferase were normalized to Renilla luciferase.

Enzyme activities analysis

The tissue and C2C12 myotube were homogenized in saline and centrifuged at 3500×g 4°C for 10 min. The supernatant was carefully transferred to a centrifuge tube. Total protein concentration was determined by the BCA assays. The enzyme activity of LDH, MDH, SDH, and CaN was measured using commercial assay kits (Nanjing Jiancheng Bioengineering Institute, Nanjing, China).

Statistical analyses

SAS 9.4 software was used to perform one-way ANOVA and t test. After the normality and homogeneity test, one-way ANOVA followed by Duncan’s multiple-range test was performed for multiple-groups comparisons. Student’s t test was performed for two-groups comparisons. Correlation analysis was performed by Pearson’s correlation coefficient analysis. Statistical methods were not used to predetermine sample size. GraphPad Prism 8.0 (GraphPad Software, Inc, San Diego, CA, USA) software was used to draw column charts and Omicstudio tools (https://www.omicstudio.cn/tool.) was used to draw heatmaps. Data were expressed as mean ± SEM. Statistical significance was defined as #p<0.1, *p<0.05, **p<0.01, and ***p<0.001 for all figures.

Acknowledgements

This work was supported by the National Key R&D Program of China (No. 2023YFD1301302), the National Natural Science Foundation of China (No. 32372901), the Natural Science Foundation of Sichuan Province (No. 2023NSFSC0238), and the Sichuan Science and Technology Program (No. 2021ZDZX0009).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Zhiqing Huang, Email: zqhuang@sicau.edu.cn.

Christopher L-H Huang, University of Cambridge, United Kingdom.

Christopher L-H Huang, University of Cambridge, United Kingdom.

Funding Information

This paper was supported by the following grants:

  • National Key Research and Development Program of China 2023YFD1301302 to Zhiqing Huang.

  • National Natural Science Foundation of China 32372901 to Zhiqing Huang.

  • Natural Science Foundation of Sichuan Province 2023NSFSC0238 to Zhiqing Huang.

  • Sichuan Science and Technology Program 2021ZDZX0009 to Zhiqing Huang.

Additional information

Competing interests

No competing interests declared.

Author contributions

Data curation, Formal analysis, Investigation, Writing - original draft.

Conceptualization, Supervision, Methodology, Project administration.

Methodology.

Methodology.

Methodology.

Methodology.

Methodology.

Methodology.

Methodology.

Conceptualization, Supervision, Funding acquisition, Methodology, Writing - review and editing.

Ethics

All procedures of animal experiments were performed according to the protocols approved by the Animal Care Advisory Committee of Sichuan Agricultural University under permit No. YYS20200929.

Additional files

MDAR checklist
Supplementary file 1. The primer sequences used in the study.
elife-90724-supp1.docx (77.5KB, docx)

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files.

References

  1. Almendro V, Fuster G, Ametller E, Costelli P, Pilla F, Busquets S, Figueras M, Argilés JM, López-Soriano FJ. Interleukin-15 increases calcineurin expression in 3T3-L1 cells: possible involvement on in vivo adipocyte differentiation. International Journal of Molecular Medicine. 2009;24:453–458. doi: 10.3892/ijmm_00000252. [DOI] [PubMed] [Google Scholar]
  2. Al Trad B, Alkhateeb H, Alsmadi W, Al-Zoubi M. Eugenol ameliorates insulin resistance, oxidative stress and inflammation in high fat-diet/streptozotocin-induced diabetic rat. Life Sciences. 2019;216:183–188. doi: 10.1016/j.lfs.2018.11.034. [DOI] [PubMed] [Google Scholar]
  3. Banzet S, Koulmann N, Simler N, Birot O, Sanchez H, Chapot R, Peinnequin A, Bigard X. Fibre-type specificity of interleukin-6 gene transcription during muscle contraction in rat: association with calcineurin activity. The Journal of Physiology. 2005;566:839–847. doi: 10.1113/jphysiol.2005.089193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Banzet S, Koulmann N, Sanchez H, Serrurier B, Peinnequin A, Alonso A, Bigard X. Contraction-induced interleukin-6 transcription in rat slow-type muscle is partly dependent on calcineurin activation. Journal of Cellular Physiology. 2007;210:596–601. doi: 10.1002/jcp.20854. [DOI] [PubMed] [Google Scholar]
  5. Baskaran P, Krishnan V, Ren J, Thyagarajan B. Capsaicin induces browning of white adipose tissue and counters obesity by activating TRPV1 channel-dependent mechanisms. British Journal of Pharmacology. 2016;173:2369–2389. doi: 10.1111/bph.13514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Burley SK, Berman HM, Bhikadiya C, Bi C, Chen L, Di Costanzo L, Christie C, Dalenberg K, Duarte JM, Dutta S, Feng Z, Ghosh S, Goodsell DS, Green RK, Guranovic V, Guzenko D, Hudson BP, Kalro T, Liang Y, Lowe R, Namkoong H, Peisach E, Periskova I, Prlic A, Randle C, Rose A, Rose P, Sala R, Sekharan M, Shao C, Tan L, Tao Y-P, Valasatava Y, Voigt M, Westbrook J, Woo J, Yang H, Young J, Zhuravleva M, Zardecki C. RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy. Nucleic Acids Research. 2019;47:D464–D474. doi: 10.1093/nar/gky1004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Calabria E, Ciciliot S, Moretti I, Garcia M, Picard A, Dyar KA, Pallafacchina G, Tothova J, Schiaffino S, Murgia M. NFAT isoforms control activity-dependent muscle fiber type specification. PNAS. 2009;106:13335–13340. doi: 10.1073/pnas.0812911106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Carlson SA, Fulton JE, Schoenborn CA, Loustalot F. Trend and prevalence estimates based on the 2008 physical activity guidelines for Americans. American Journal of Preventive Medicine. 2010;39:305–313. doi: 10.1016/j.amepre.2010.06.006. [DOI] [PubMed] [Google Scholar]
  9. Carnevale V, Rohacs T. TRPV1: a target for rational drug design. Pharmaceuticals. 2016;9:52. doi: 10.3390/ph9030052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Caterina MJ, Schumacher MA, Tominaga M, Rosen TA, Levine JD, Julius D. The capsaicin receptor: a heat-activated ion channel in the pain pathway. Nature. 1997;389:816–824. doi: 10.1038/39807. [DOI] [PubMed] [Google Scholar]
  11. Cho ML, Kim WU, Min SY, Min DJ, Min JK, Lee SH, Park SH, Cho CS, Kim HY. Cyclosporine differentially regulates interleukin-10, interleukin-15, and tumor necrosis factor? production by rheumatoid synoviocytes. Arthritis & Rheumatism. 2002;46:42–51. doi: 10.1002/1529-0131(200201)46:1&#x0003c;42::AID-ART10026&#x0003e;3.0.CO;2-A. [DOI] [PubMed] [Google Scholar]
  12. Cho ML, Ju JH, Kim KW, Moon YM, Lee SY, Min SY, Cho YG, Kim HS, Park KS, Yoon CH, Lee SH, Park SH, Kim HY. Cyclosporine A inhibits IL-15-induced IL-17 production in CD4+ T cells via down-regulation of PI3K/Akt and NF-kappaB. Immunology Letters. 2007;108:88–96. doi: 10.1016/j.imlet.2006.11.001. [DOI] [PubMed] [Google Scholar]
  13. Choi YM, Kim BC. Muscle fiber characteristics, myofibrillar protein isoforms, and meat quality. Livestock Science. 2009;122:105–118. doi: 10.1016/j.livsci.2008.08.015. [DOI] [Google Scholar]
  14. Clapham DE. TRP channels as cellular sensors. Nature. 2003;426:517–524. doi: 10.1038/nature02196. [DOI] [PubMed] [Google Scholar]
  15. Correia JC, Kelahmetoglu Y, Jannig PR, Schweingruber C, Shvaikovskaya D, Zhengye L, Cervenka I, Khan N, Stec M, Oliveira M, Nijssen J, Martínez-Redondo V, Ducommun S, Azzolini M, Lanner JT, Kleiner S, Hedlund E, Ruas JL. Muscle-secreted neurturin couples myofiber oxidative metabolism and slow motor neuron identity. Cell Metabolism. 2021;33:2215–2230. doi: 10.1016/j.cmet.2021.09.003. [DOI] [PubMed] [Google Scholar]
  16. Devi KP, Nisha SA, Sakthivel R, Pandian SK. Eugenol (an essential oil of clove) acts as an antibacterial agent against Salmonella typhi by disrupting the cellular membrane. Journal of Ethnopharmacology. 2010;130:107–115. doi: 10.1016/j.jep.2010.04.025. [DOI] [PubMed] [Google Scholar]
  17. Duan Y, Li F, Tan B, Yao K, Yin Y. Metabolic control of myofibers: promising therapeutic target for obesity and type 2 diabetes. Obesity Reviews. 2017;18:647–659. doi: 10.1111/obr.12530. [DOI] [PubMed] [Google Scholar]
  18. Eckel J. Myokines in metabolic homeostasis and diabetes. Diabetologia. 2019;62:1523–1528. doi: 10.1007/s00125-019-4927-9. [DOI] [PubMed] [Google Scholar]
  19. Egan B, Zierath JR. Exercise metabolism and the molecular regulation of skeletal muscle adaptation. Cell Metabolism. 2013;17:162–184. doi: 10.1016/j.cmet.2012.12.012. [DOI] [PubMed] [Google Scholar]
  20. Fan W, Evans RM. Exercise mimetics: impact on health and performance. Cell Metabolism. 2017;25:242–247. doi: 10.1016/j.cmet.2016.10.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Feige JN, Lagouge M, Canto C, Strehle A, Houten SM, Milne JC, Lambert PD, Mataki C, Elliott PJ, Auwerx J. Specific SIRT1 activation mimics low energy levels and protects against diet-induced metabolic disorders by enhancing fat oxidation. Cell Metabolism. 2008;8:347–358. doi: 10.1016/j.cmet.2008.08.017. [DOI] [PubMed] [Google Scholar]
  22. Fernandes ES, Fernandes MA, Keeble JE. The functions of TRPA1 and TRPV1: moving away from sensory nerves. British Journal of Pharmacology. 2012;166:510–521. doi: 10.1111/j.1476-5381.2012.01851.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Harb AA, Bustanji YK, Almasri IM, Abdalla SS. Eugenol reduces LDL cholesterol and hepatic steatosis in hypercholesterolemic rats by modulating TRPV1 receptor. Scientific Reports. 2019;9:14003. doi: 10.1038/s41598-019-50352-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Hasan R, Zhang X. Ca2+ Regulation of TRP ion channels. International Journal of Molecular Sciences. 2018;19:1256. doi: 10.3390/ijms19041256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Hoehn KL, Turner N, Swarbrick MM, Wilks D, Preston E, Phua Y, Joshi H, Furler SM, Larance M, Hegarty BD, Leslie SJ, Pickford R, Hoy AJ, Kraegen EW, James DE, Cooney GJ. Acute or chronic upregulation of mitochondrial fatty acid oxidation has no net effect on whole-body energy expenditure or adiposity. Cell Metabolism. 2010;11:70–76. doi: 10.1016/j.cmet.2009.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hou N, He X, Yang Y, Fu J, Zhang W, Guo Z, Hu Y, Liang L, Xie W, Xiong H, Wang K, Pang M. TRPV1 induced apoptosis of colorectal cancer cells by activating calcineurin-NFAT2-p53 signaling pathway. BioMed Research International. 2019;2019:6712536. doi: 10.1155/2019/6712536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Jacquemin V, Butler-Browne GS, Furling D, Mouly V. IL-13 mediates the recruitment of reserve cells for fusion during IGF-1-induced hypertrophy of human myotubes. Journal of Cell Science. 2007;120:670–681. doi: 10.1242/jcs.03371. [DOI] [PubMed] [Google Scholar]
  28. Jakobs C, Bartok E, Kubarenko A, Bauernfeind F, Hornung V. Immunoblotting for active caspase-1. Methods in Molecular Biology. 2013;1040:103–115. doi: 10.1007/978-1-62703-523-1_9. [DOI] [PubMed] [Google Scholar]
  29. Jiang Y, Feng C, Shi Y, Kou X, Le G. Eugenol improves high-fat diet/streptomycin-induced type 2 diabetes mellitus (T2DM) mice muscle dysfunction by alleviating inflammation and increasing muscle glucose uptake. Frontiers in Nutrition. 2022;9:1039753. doi: 10.3389/fnut.2022.1039753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Jung CH, Ahn J, Jeon TI, Kim TW, Ha TY. Syzygium aromaticum ethanol extract reduces high-fat diet-induced obesity in mice through downregulation of adipogenic and lipogenic gene expression. Experimental and Therapeutic Medicine. 2012;4:409–414. doi: 10.3892/etm.2012.609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Kaur G, Athar M, Alam MS. Eugenol precludes cutaneous chemical carcinogenesis in mouse by preventing oxidative stress and inflammation and by inducing apoptosis. Molecular Carcinogenesis. 2010;49:290–301. doi: 10.1002/mc.20601. [DOI] [PubMed] [Google Scholar]
  32. Knudsen NH, Stanya KJ, Hyde AL, Chalom MM, Alexander RK, Liou YH, Starost KA, Gangl MR, Jacobi D, Liu S, Sopariwala DH, Fonseca-Pereira D, Li J, Hu FB, Garrett WS, Narkar VA, Ortlund EA, Kim JH, Paton CM, Cooper JA, Lee CH. Interleukin-13 drives metabolic conditioning of muscle to endurance exercise. Science. 2020;368:eaat3987. doi: 10.1126/science.aat3987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Koplas PA, Rosenberg RL, Oxford GS. The role of calcium in the desensitization of capsaicin responses in rat dorsal root ganglion neurons. The Journal of Neuroscience. 1997;17:3525–3537. doi: 10.1523/JNEUROSCI.17-10-03525.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Lesgards JF, Baldovini N, Vidal N, Pietri S. Anticancer activities of essential oils constituents and synergy with conventional therapies: a review. Phytotherapy Research. 2014;28:1423–1446. doi: 10.1002/ptr.5165. [DOI] [PubMed] [Google Scholar]
  35. Luo Z, Ma L, Zhao Z, He H, Yang D, Feng X, Ma S, Chen X, Zhu T, Cao T, Liu D, Nilius B, Huang Y, Yan Z, Zhu Z. TRPV1 activation improves exercise endurance and energy metabolism through PGC-1α upregulation in mice. Cell Research. 2012;22:551–564. doi: 10.1038/cr.2011.205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Ma L, Zhong J, Zhao Z, Luo Z, Ma S, Sun J, He H, Zhu T, Liu D, Zhu Z, Tepel M. Activation of TRPV1 reduces vascular lipid accumulation and attenuates atherosclerosis. Cardiovascular Research. 2011;92:504–513. doi: 10.1093/cvr/cvr245. [DOI] [PubMed] [Google Scholar]
  37. Magalhães CB, Casquilho NV, Machado MN, Riva DR, Travassos LH, Leal-Cardoso JH, Fortunato RS, Faffe DS, Zin WA. The anti-inflammatory and anti-oxidative actions of eugenol improve lipopolysaccharide-induced lung injury. Respiratory Physiology & Neurobiology. 2019;259:30–36. doi: 10.1016/j.resp.2018.07.001. [DOI] [PubMed] [Google Scholar]
  38. Men XM, Xu ZW, Tao X, Deng B, Qi KK. FNDC5 expression closely correlates with muscle fiber types in porcine longissimus dorsi muscle and regulates myosin heavy chains (MyHCs) mRNA expression in C2C12 cells. PeerJ. 2021;9:e11065. doi: 10.7717/peerj.11065. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Meng J, Lv Z, Sun C, Qiao X, Chen C. An extract of Lycium barbarum mimics exercise to improve muscle endurance through increasing type IIa oxidative muscle fibers by activating ERRγ. FASEB Journal. 2020;34:11460–11473. doi: 10.1096/fj.202000136R. [DOI] [PubMed] [Google Scholar]
  40. Mnafgui K, Kaanich F, Derbali A, Hamden K, Derbali F, Slama S, Allouche N, Elfeki A. Inhibition of key enzymes related to diabetes and hypertension by Eugenol in vitro and in alloxan-induced diabetic rats. Archives of Physiology and Biochemistry. 2013;119:225–233. doi: 10.3109/13813455.2013.822521. [DOI] [PubMed] [Google Scholar]
  41. Nadeau L, Aguer C. Interleukin-15 as a myokine: mechanistic insight into its effect on skeletal muscle metabolism. Applied Physiology, Nutrition, and Metabolism. 2019;44:229–238. doi: 10.1139/apnm-2018-0022. [DOI] [PubMed] [Google Scholar]
  42. Narkar VA, Downes M, Yu RT, Embler E, Wang YX, Banayo E, Mihaylova MM, Nelson MC, Zou Y, Juguilon H, Kang H, Shaw RJ, Evans RM. AMPK and PPARdelta agonists are exercise mimetics. Cell. 2008;134:405–415. doi: 10.1016/j.cell.2008.06.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Nilius B, Owsianik G, Voets T, Peters JA. Transient receptor potential cation channels in disease. Physiological Reviews. 2007;87:165–217. doi: 10.1152/physrev.00021.2006. [DOI] [PubMed] [Google Scholar]
  44. Nogueira L, Ramirez-Sanchez I, Perkins GA, Murphy A, Taub PR, Ceballos G, Villarreal FJ, Hogan MC, Malek MH. (-)-Epicatechin enhances fatigue resistance and oxidative capacity in mouse muscle. The Journal of Physiology. 2011;589:4615–4631. doi: 10.1113/jphysiol.2011.209924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Pedersen BK, Febbraio MA. Muscles, exercise and obesity: skeletal muscle as a secretory organ. Nature Reviews. Endocrinology. 2012;8:457–465. doi: 10.1038/nrendo.2012.49. [DOI] [PubMed] [Google Scholar]
  46. Quinn LS, Anderson BG, Conner JD, Wolden-Hanson T. IL-15 overexpression promotes endurance, oxidative energy metabolism, and muscle PPARδ, SIRT1, PGC-1α, and PGC-1β expression in male mice. Endocrinology. 2013;154:232–245. doi: 10.1210/en.2012-1773. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Rangwala SM, Wang X, Calvo JA, Lindsley L, Zhang Y, Deyneko G, Beaulieu V, Gao J, Turner G, Markovits J. Estrogen-related receptor gamma is a key regulator of muscle mitochondrial activity and oxidative capacity. The Journal of Biological Chemistry. 2010;285:22619–22629. doi: 10.1074/jbc.M110.125401. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Rodrigues M, Bertoncini-Silva C, Joaquim AG, Machado CD, Ramalho LNZ, Carlos D, Fassini PG, Suen VMM. Beneficial effects of eugenol supplementation on gut microbiota and hepatic steatosis in high-fat-fed mice. Food & Function. 2022;13:3381–3390. doi: 10.1039/D1FO03619J. [DOI] [PubMed] [Google Scholar]
  49. Sakuma K, Yamaguchi A. The functional role of calcineurin in hypertrophy, regeneration, and disorders of skeletal muscle. Journal of Biomedicine and Biotechnology. 2010;2010:1–8. doi: 10.1155/2010/721219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Sanae F, Kamiyama O, Ikeda-Obatake K, Higashi Y, Asano N, Adachi I, Kato A. Effects of eugenol-reduced clove extract on glycogen phosphorylase b and the development of diabetes in db/db mice. Food Funct. 2014;5:214–219. doi: 10.1039/C3FO60514K. [DOI] [PubMed] [Google Scholar]
  51. Sanz-Salvador L, Andrés-Borderia A, Ferrer-Montiel A, Planells-Cases R. Agonist- and Ca2+-dependent desensitization of TRPV1 channel targets the receptor to lysosomes for degradation. The Journal of Biological Chemistry. 2012;287:19462–19471. doi: 10.1074/jbc.M111.289751. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Schiaffino S, Reggiani C. Fiber Types in mammalian skeletal muscles. Physiological Reviews. 2011;91:1447–1531. doi: 10.1152/physrev.00031.2010. [DOI] [PubMed] [Google Scholar]
  53. Severinsen MCK, Pedersen BK. Muscle-organ crosstalk: the emerging roles of myokines. Endocrine Reviews. 2020;41:594–609. doi: 10.1210/endrev/bnaa016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Srinivasan S, Sathish G, Jayanthi M, Muthukumaran J, Muruganathan U, Ramachandran V. Ameliorating effect of eugenol on hyperglycemia by attenuating the key enzymes of glucose metabolism in streptozotocin-induced diabetic rats. Molecular and Cellular Biochemistry. 2014;385:159–168. doi: 10.1007/s11010-013-1824-2. [DOI] [PubMed] [Google Scholar]
  55. Wang P, Yan Z, Zhong J, Chen J, Ni Y, Li L, Ma L, Zhao Z, Liu D, Zhu Z. Transient receptor potential vanilloid 1 activation enhances gut glucagon-like peptide-1 secretion and improves glucose homeostasis. Diabetes. 2012;61:2155–2165. doi: 10.2337/db11-1503. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Welinder C, Ekblad L. Coomassie staining as loading control in western blot analysis. Journal of Proteome Research. 2011;10:1416–1419. doi: 10.1021/pr1011476. [DOI] [PubMed] [Google Scholar]
  57. Wen W, Chen X, Huang Z, Chen D, Chen H, Luo Y, He J, Zheng P, Yu J, Yu B. Resveratrol regulates muscle fiber type conversion via miR-22-3p and AMPK/SIRT1/PGC-1α pathway. The Journal of Nutritional Biochemistry. 2020;77:108297. doi: 10.1016/j.jnutbio.2019.108297. [DOI] [PubMed] [Google Scholar]
  58. Whitham M, Febbraio MA. The ever-expanding myokinome: discovery challenges and therapeutic implications. Nature Reviews. Drug Discovery. 2016;15:719–729. doi: 10.1038/nrd.2016.153. [DOI] [PubMed] [Google Scholar]
  59. Xu H, Delling M, Jun JC, Clapham DE. Oregano, thyme and clove-derived flavors and skin sensitizers activate specific TRP channels. Nature Neuroscience. 2006;9:628–635. doi: 10.1038/nn1692. [DOI] [PubMed] [Google Scholar]
  60. Yang J, Rothermel B, Vega RB, Frey N, McKinsey TA, Olson EN, Bassel-Duby R, Williams RS. Independent signals control expression of the calcineurin inhibitory proteins MCIP1 and MCIP2 in striated muscles. Circulation Research. 2000;87:E61–E68. doi: 10.1161/01.res.87.12.e61. [DOI] [PubMed] [Google Scholar]
  61. Yang BH, Piao ZG, Kim YB, Lee CH, Lee JK, Park K, Kim JS, Oh SB. Activation of vanilloid receptor 1 (VR1) by eugenol. Journal of Dental Research. 2003;82:781–785. doi: 10.1177/154405910308201004. [DOI] [PubMed] [Google Scholar]
  62. Yang Y, Guo W, Ma J, Xu P, Zhang W, Guo S, Liu L, Ma J, Shi Q, Jian Z, Liu L, Wang G, Gao T, Han Z, Li C. Downregulated TRPV1 expression contributes to melanoma growth via the calcineurin-ATF3-p53 pathway. The Journal of Investigative Dermatology. 2018;138:2205–2215. doi: 10.1016/j.jid.2018.03.1510. [DOI] [PubMed] [Google Scholar]
  63. Zádor E. dnRas stimulates autocrine-paracrine growth of regenerating muscle via calcineurin-NFAT-IL-4 pathway. Biochemical and Biophysical Research Communications. 2008;375:265–270. doi: 10.1016/j.bbrc.2008.08.024. [DOI] [PubMed] [Google Scholar]

eLife assessment

Christopher L-H Huang 1

This useful paper addresses a novel exercise mimetic agent on muscle exercise and performance. While the data provided are interesting, the evidence is incomplete, as much of it is correlative.

Reviewer #1 (Public Review):

Anonymous

Summary:

In this manuscript, Huang et al have investigated the exercise mimetic role of Eugenol (a natural product) in skeletal muscle and whole-body fitness. The authors report that Eugenol facilitates skeletal muscle remodeling to a slower/oxidative phenotype typically associated with endurance. Eugenol also remodels the fat driving browning the WAT. In both skeletal muscle and fat Eugenol promotes oxidative capacity and mitochondrial biogenesis markers. Eugenol also improves exercise tolerance in a swimming test. Through a series of in vitro studies the authors demonstrate that eugenol may function through the trpv1 channel, Ca mobilization, and activation of CaN/NFAT signaling in the skeletal muscle to regulate slow-twitch phenotype. In addition, Eugenol also induces several myokines but mainly IL-15 through which it may exert its exercise mimetic effects. Overall, the manuscript is well-written, but there are several mechanistic gaps, physiological characterization is limited, and some data are mostly co-relative without vigorous testing (e.g. link between Eugenol, IL15 induction, and endurance). Specific major concerns are listed below.

Strengths:

A natural product activator of the TRPV1 channel that could elicit exercise-like effects through skeletal muscle remodeling. Potential for discovering other mechanisms of action of Eugenol.

Weaknesses:

(1) Figure 1: Histomorphological analysis using immunostaining for type I, IIA, IIX, and IIB should be performed and quantified across different muscle groups and also in the soleus. Fiber type switch measured based on qPCR and Westerns does not sufficiently indicate the extent of fiber type switch. Better images for Fig. 1c should be provided.

(2) Figure 2: Histomorphological analysis for SDH and NADH-TR should be performed and quantified in different muscle groups. Seahorse or oroborous respirometry experiments should be performed to determine the actually increase in mitochondrial respiratory capacity either in isolated mitochondria or single fibers from vehicle and Eugenol-treated mice. Em for mitochondrial should be added to determine the extent of mitochondrial remodeling. The current data is insufficient to indicate the extent of mitochondrial or oxidative remodeling.

(3) Figure 2: Gene expression analysis is limited to a few transcriptional factors. A thorough analysis of gene expression through RNA-seq should be performed to get an unbiased effect of Eugenol on muscle transcriptome. This is especially important because eugenol is proposed to work through CaN/NFAT signaling, major transcriptional regulators of muscle phenotype.

(4) I suggest the inclusion of additional exercise or performance testing including treadmill running, wheel running, and tensiometry. Quantification with a swimming test and measurement of the exact intensity of exercise, etc. is limited.

(5) In addition to muscle performance, whole-body metabolic/energy homeostatic effects should also be measured to determine a potential increase in aerobic metabolism over anaerobic metabolism.

(6) For the swimming test and other measurements, only 4 weeks of vehicle vs. Eugenol treatment was used. For this type of pharmacological study, a time course should be performed to determine the saturation point of the effect. Does exercise tolerance progressively increase with time?

(7) The authors should also consider measuring adaptation to exercise training with or without Eugenol.

(8) Histomorphological analysis of Wat is also lacking. EchoMRI would give a better picture of lean and fat mass.

(9) The experiments performed to demonstrate that Eugenol functions through trpv1 are mostly correlational. Some experiments are needed with trpv1 KO or KD instead of inhibitor. Similarly, KD for other trpv channels should be tested (at least 1-4 that seem to be expressed in the muscle). Triple KO or trpv null cells should be considered to demonstrate that eugenol does not have another biological target.

(10) Eugenol + trpv1 inhibition studies are performed in c2c12 cells and only looks at myofiber genes expression. This is incomplete. Some studies in mitochondrial and oxsphos genes should be done.

(11) The experiments linking Eugenol to ca handling, and calcineurin/nfat activation are all performed in c2c12 cells. There seems to be a link between Eugenol activation and CaN/NFAT activation and fiber type regulation in cells, however, this needs to be tested in mouse studies at the functional level using some of the parameters measured in aims 1 and 2.

(12) The myokine studies are incomplete. The authors show a link between Eugenol treatment and myokines/IL-15 induction. However, this is purely co-relational, without any experiments performed to show whether IL-15 mediates any of the effects of eugenol in mice.

(13) An additional major concern is that it cannot be ruled out that Engenol is uniquely mediating its effects through trpv1. Ideally, muscle-specific trpv1 mice should be used to perform some experiments with Eugenol to confirm that this ion channel is involved in the physiological effects of eugenol.

Comments on revised version:

Unfortunately, in the revision the authors have not addressed any of my comments with new experimental data. For example, some of the histological experiments I suggested are quite easy to do or standardize. Other in vitro experiments could also be conducted to show direct mechanistic link. The current revision does not further improve the manuscript from the 1st submission.

Reviewer #2 (Public Review):

Anonymous

Summary:

The authors examined the hypothesis that eugenol promotes myokines release and f skeletal muscles remoulding by activating the TRPV1-Ca2+-calcineurin-NFATc1 signalling pathway. They first showed that eugenol promotes skeletal muscle transformation and metabolic functions in adipose tissues by analysing changes in the expression of mRNA and proteins of relevant representative protein markers. With similar methodologies, they further found that eugenol increases the expression of mRNA and/or proteins of TRPV1, CaN, NFATC1 and IL-15 in muscle tissues. These processes were, however, prevented by inhibiting TRPV1 and CaN. Similar expression changes were also triggered by increasing intracellular Ca2+ with A23187, suggesting a Ca2+-dependent process.

Strengths:

Different proteins markers were used as a readout of the functions of muscles and adipose tissues and mitochondria and analysed at both mRNA and protein levels. The results were mostly consistent. Although the signaling pathway of TRPV1-Ca2+-CaN-NFAT is not new and well documented, they identified IL-15 as a new downstream target of this pathway combined with use of TRPV1 and CaN inhibitors.

Weaknesses:

Most of the evidence is limited to the molecular level lacking direct functional assays and system analysis. It will be interesting to examine the effect of eugenol on metabolic rate in animals and the role of TRPV1 in this process, as eugenol enhanced food intake without effect on body weight. TRPV1 and CaN inhibition prevented IL-15 expression in C2C12 cells (Fig.9). It remain unknown whether the effect is reproducible in native muscle tissues.

It is also unknown how eugenol enhances TRPV1/CaN expression and alters the expression of many other protein markers in muscle and adipose tissues. Are these effects mediated by activated NFAT or by released IL-15 forming a positive feedback loop? It should at least be discussed.

Many protein blots were presented but no molecular weight markers were shown. It is thus difficult to convince others that the protein bands are the right anticipated positions.

eLife. 2024 Jun 24;12:RP90724. doi: 10.7554/eLife.90724.3.sa3

Author response

Tengteng Huang 1, Xiaoling Chen 2, Jun He 3, Ping Zheng 4, Yuheng Luo 5, Aimin Wu 6, Hui Yan 7, Bing Yu 8, Daiwen Chen 9, Zhiqing Huang 10

The following is the authors’ response to the original reviews.

Reviewer #1 (Public Review):

Weaknesses:

(1) Figure 1: Histomorphological analysis using immunostaining for type I, IIA, IIX, and IIB should be performed and quantified across different muscle groups and also in the soleus. Fiber type switch measured based on qPCR and Westerns does not sufficiently indicate the extent of fiber type switch. Better images for Fig. 1c should be provided.

Thanks for your suggestion. In fact, we attempted immunofluorescent staining for Slow MyHC and Fast MyHC in GAS muscle. However, for the majority of our results, we only observed positive expression of Slow MyHC in a small portion of the muscle sections (as shown in the figure below), so we did not present this result.

In addition, due to the size limitations on uploading image files to Biorxiv, we had to compress the images, resulting in lower resolution pictures. We have attempted to submit clearer images in Fig. 1C

Author response image 1. Green: Slow MyHC; Red: Fast MyHC.

Author response image 1.

(2) Figure 2: Histomorphological analysis for SDH and NADH-TR should be performed and quantified in different muscle groups. Seahorse or oroborous respirometry experiments should be performed to determine the actually increase in mitochondrial respiratory capacity either in isolated mitochondria or single fibers from vehicle and Eugenol-treated mice. Em for mitochondrial should be added to determine the extent of mitochondrial remodeling. The current data is insufficient to indicate the extent of mitochondrial or oxidative remodeling.

That's a good suggestion. However, we regret to inform you that we are unable to present these results due to a lack of relevant experimental equipment and samples.

(3) Figure 2: Gene expression analysis is limited to a few transcriptional factors. A thorough analysis of gene expression through RNA-seq should be performed to get an unbiased effect of Eugenol on muscle transcriptome. This is especially important because eugenol is proposed to work through CaN/NFAT signaling, major transcriptional regulators of muscle phenotype.

Thanks for your suggestion. Indeed, we believe that in terms of reliability and accuracy, RNA-seq is not as good as RT-qPCR. The advantage of RNA-seq lies in its high throughput, making it suitable for screening unknown transcription factor regulatory mechanisms. In this study, the signaling pathways regulating myokines and muscle fiber type transformation are known and limited, with only the CaN/NFATc1 and the AMPK pathway. Since eugenol mainly acts through the Ca2+ pathway, we primarily focus on the CaN/NFATc1 signaling pathway.

(4) I suggest the inclusion of additional exercise or performance testing including treadmill running, wheel running, and tensiometry. Quantification with a swimming test and measurement of the exact intensity of exercise, etc. is limited.

That's a good suggestion. We apologize for being unable to detect this indicator due to a lack of relevant experimental equipment.

(5) In addition to muscle performance, whole-body metabolic/energy homeostatic effects should also be measured to determine a potential increase in aerobic metabolism over anaerobic metabolism.

That's a good suggestion. We apologize for being unable to detect this indicator due to a lack of relevant experimental equipment.

(6) For the swimming test and other measurements, only 4 weeks of vehicle vs. Eugenol treatment was used. For this type of pharmacological study, a time course should be performed to determine the saturation point of the effect. Does exercise tolerance progressively increase with time?

Thanks for your suggestion. Due to the potential damage that exhaustive swimming tests inflict on mice, the tested mice are subsequently eliminated to avoid potential interference with the experiment. Therefore, this experiment is only suitable for conducting tests at individual time points.

(7) The authors should also consider measuring adaptation to exercise training with or without Eugenol.

Thanks for your suggestion. The purpose of this study is to investigate whether eugenol mimics exercise under standard dietary conditions. In our future research, we will consider exploring the effects of eugenol under HFD and exercise conditions.

(8) Histomorphological analysis of Wat is also lacking. EchoMRI would give a better picture of lean and fat mass.

That's a good suggestion. However, we did not collect the slices of WAT tissue, so we are unable to supplement this result, we feel sorry for it. In addition, we apologize for being unable to detect lean and fat mass due to a lack of EchoMRI equipment.

(9) The experiments performed to demonstrate that Eugenol functions through trpv1 are mostly correlational. Some experiments are needed with trpv1 KO or KD instead of inhibitor. Similarly, KD for other trpv channels should be tested (at least 1-4 that seem to be expressed in the muscle). Triple KO or trpv null cells should be considered to demonstrate that eugenol does not have another biological target.

Thanks for your professional suggestion. AMG-517 is a specific inhibitor of TRPV1, with a much greater inhibitory effect on TRPV1 compared to other TRP channels. AMG-517 inhibits capsaicin (500 nM), acid (pH 5.0), or heat (45°C) induced Ca2+ influx in cells expressing human TRPV1, with IC50 values of 0.76 nM, 0.62 nM, and 1.3 nM, respectively. However, the IC50 values of AMG-517 for recombinant TRPV2, TRPV3, TRPV4, TRPA1, and TRPM8 cells are >20 μM (Gavva, 2008). Therefore, we believe that using AMG-517 instead of TRPV1 KO cells is sufficient to demonstrate the involvement of TRPV1 in the function of eugenol.

While this study did not exclude the possibility of other TRP channels' involvement, it was based on the fact that eugenol does not promote mRNA expression of other TRP channels, as shown in Fig4A-C. Indeed, as far as we know, besides TRPV1, the effects of other TRP channels on myofiber type transformation remain unknown. This is an aspect that we plan to investigate in the future.

Reference

Gavva NR, Treanor JJ, Garami A, et al. Pharmacological blockade of the vanilloid receptor TRPV1 elicits marked hyperthermia in humans. Pain. 2008;136(1-2):202-210.

(10) Eugenol + trpv1 inhibition studies are performed in c2c12 cells and only looks at myofiber genes expression. This is incomplete. Some studies in mitochondrial and oxsphos genes should be done.

Thanks for your suggestion. In the inhibition experiment, we additionally examined the expression of mitochondrial complex proteins as shown in Figure 5C. And the relevant description has been added in lines 178-183 and 764-765.

(11) The experiments linking Eugenol to ca handling, and calcineurin/nfat activation are all performed in c2c12 cells. There seems to be a link between Eugenol activation and CaN/NFAT activation and fiber type regulation in cells, however, this needs to be tested in mouse studies at the functional level using some of the parameters measured in aims 1 and 2.

Thank you for your professional suggestion. We will attempt to continue these experiments in future studies.

(12) The myokine studies are incomplete. The authors show a link between Eugenol treatment and myokines/IL-15 induction. However, this is purely co-relational, without any experiments performed to show whether IL-15 mediates any of the effects of eugenol in mice.

Indeed, previous studies have adequately demonstrated the regulation of skeletal muscle oxidative metabolism by IL-15. The initial aim of this experiment was to investigate the mechanism by which eugenol promotes IL-15 expression. Through inhibition assays, EMSA, and dual luciferase reporter gene experiments, we have thoroughly demonstrated that eugenol promotes IL-15 expression via the CaN/NFATc1 signaling pathway, thus establishing a novel link between CaN/NFATc1 signaling and the myokine IL-15 expression. In the subsequent experiments, we plan to knock out IL-15 in eugenol-treated C2C12 cells to explore whether IL-15 mediates the effects of eugenol. This will be another aspect of our investigation.

(13) An additional major concern is that it cannot be ruled out that Engenol is uniquely mediating its effects through trpv1. Ideally, muscle-specific trpv1 mice should be used to perform some experiments with Eugenol to confirm that this ion channel is involved in the physiological effects of eugenol.

As you suggested, we agree that muscle-specific TRPV1 mice should be used to conduct some experiments with eugenol. In our mice experiments, due to the lack of validation of skeletal muscle-specific TRPV1 knockout, we indeed cannot rule out that eugenol is uniquely mediating its effects through TRPV1. We acknowledge this as a limitation of our study. However, due to limitations in research funding and time, we are currently unable to supplement these experiments. Nevertheless, we believe that our results from in vitro experiments using a TRPV1 inhibitor (which selectively inhibits TRPV1) provide evidence of eugenol's action through TRPV1.

Reviewer #2 (Public Review):

Weaknesses:

(1) Apart from Fig.2A and 2B, they mostly utilised protein expression changes as an index of tissue functional changes. Most of the data supporting the conclusions are thus rather indirect. More direct functional evidence would be more compelling. For example, a lipolysis assay could be used to measure the metabolic function of adipocytes after eugenol treatment in Fig.3. Functional activation of NFAT can be demonstrated by examining the nuclear translocation of NFAT.

Thank you for your professional suggestion. Indeed, as shown in Figure 4G-I, we detected the expression of NFATc1 in the nucleus to illustrate its nuclear translocation.

(2) To further demonstrate the role of TRPV1 channels in the effects of eugenol, TRPV1-deficient mice and tissues could also be used. Will the improved swimming test in Fig. 2B and increased CaN, NFAT, and IL-15 triggered by eugenol be all prevented in TRPV1-lacking mice and tissues?

Thank you for your professional suggestion. We agree that muscle-specific TRPV1 mice should be used to conduct some experiments with eugenol. However, due to limitations in research funding and time, we are currently unable to supplement these experiments.

(3) Direct evidence of eugenol activation of TRPV1 channels in skeletal muscles is also lacking. The flow cytometry assay was used to measure Ca2+ changes in the C2C12 cell line in Fig. 5A. But this assay is rather indirect. It would be more convincing to monitor real-time activation of TRPV1 channels in skeletal muscles not in cell lines using Ca2+ imaging or electrophysiology.

Thank you for your professional suggestion. As you suggested, we initially planned to use patch-clamp technique to detect membrane potential changes in skeletal muscle cells under eugenol treatment. However, due to experimental technical limitations, this experiment was not successfully conducted. Therefore, we were compelled to rely solely on flow cytometry to detect Ca2+ levels.

Reviewer #2 (Recommendations For The Authors):

(1) Most of the mRNA and protein data are consistent with each other. However, some of them are not obvious. For example, PGC1a mRNA was increased by eugenol in Fig. 2C but not seen in protein in Fig. 2D. Similarly, Complex I and V mRNA was increased in Fig. 2C but not obvious at protein levels in Fig. 2D, even though they claimed that Complex I and V were both upregulated by eugenol (see: line 123). Another example: IL-15 mRNA was increased by EUG100 but not by EUG50 in the GAS muscle in Fig. 8A. However, EUG50 increased IL-15 protein expression in Fig. 8B. Similar conflict was also seen in IL-15 expression in the TA muscle in Fig. 8A and 8C.

Thanks for your question. As shown in the table below, by standardizing with β-Actin, our statistical data indeed indicate that eugenol promotes the expression of Complex I and V proteins (although the upregulation is minimal). Additionally, protein and mRNA expression do not always correlate, which may be due to potential post-transcriptional and post-translational regulation.

Author response table 1.

Lane1 Lane2 Lane3 Lane4 Lane5 Lane6
beta-Actin 1.000 0.853 0.821 0.859 0.816 0.812
Complex I 1.000 0.739 0.867 0.917 1.034 1.150
Complex V 1.000 0.879 0.856 0.949 0.947 0.985
Complex I/ beta-Actin 1.000 0.867 1.056 1.068 1.268 1.415
Complex V/ beta-Actin 1.000 1.031 1.043 1.105 1.161 1.213

(2) Line 115: Figure 2A should be Figure 2B; Line 119: Figure 2B should be Figure 2A. Alternatively, swap Fig2A with Fig. 2B.

Thanks for your correction, we have revised the relevant content in lines 111-113 and 724-725.

(3) Abbreviations of ADF and ADG in Fig. 3A should be defined.

Thank you for your suggestion. We have defined these abbreviations in lines 123-125.

(4) Line 154: TRPV1 mRNA expression was promoted by 25 and 50uM eugenol, not by 12.5uM.

Thank you for your correction. We have revised it in line 150.

(5) Line 173: Increased expression of NFAT suggests that NFAT is activated. This is a rather weak statement. It is more convincing to show the nuclear translocation of NFAT by eugenol treatment.

Thank you for your correction. We have revised the describtion in line 166.

(6) Line 185: The data showing EUG increased slow MyHC fluorescence intensity in Fig. 5D are not clear at all. Quantification is required.

Thank you for your suggestion. We have attempted to submit clearer images in Figure 5E, and the quantification have been provided.

(7) Line 235: IL-15 expression is positively correlated with MyHC IIa, suggesting IL-15 is a slow muscle myokine (See line 2398). However, MyHC IIa is a marker of fast muscle fibres (see line 50).

Thank you for your correction. As you pointed, MyHC IIa is fast-twitch oxidative muscle fiber. We have replaced ‘slow’ with ‘oxidative’ in line 235.

(8) Fig.9C and 9D show that inhibition of TRPV1 and CaN attenuated the upregulation of IL-15 mRNA and protein by eugenol in C2C12 cell line. This result is important in demonstrating the link of TRPV1 and CaN to IL-15. It will be more interesting and physiologically relevant to perform this experiment in primary skeletal muscle cells isolated from mice.

Thank you for your suggestion. This is indeed an interesting idea. We will attempt to continue our experiments in mice and primary porcine muscle cells in future studies.

(9) It is concerning that 4-week-old male mice were used for the study. The 4-week-old mice are immature. Adult mice over 8 weeks should be used. It is thus unknown whether the findings are broadly applicable to adult age.

Thanks for your professional question. Age indeed has an impact on the muscle fiber type in mammals. Based on previously observed patterns of muscle fiber changes with age in various mammals (Katsumata et al., 2021; Pandorf et al., 2012; Hill et al., 2020), we believe that changes in muscle fiber types occur more frequently in juvenile mammals, mainly manifesting as a sharp increase in fast muscle fibers. Therefore, interventions during the juvenile stage might be more effective in promoting the transformation of fast to slow muscle fibers. As a result, in most of our group's research using nutritional interventions to regulate muscle fiber types, we tend to start interventions from the age of 4 weeks in mice. If we began intervention at 8 weeks, we speculate that the effectiveness would not be as potent as starting at 4 weeks. Below are the patterns of muscle fiber changes with age in various mammalian models, provided for reference:

(1) Changes in muscle fiber types with age in pigs:

As shown in the following figure, there is a dramatic change in the muscle fiber types 12 days post birth in pigs, especially with a sharp increase in fast muscle fibers, which continues until day 45. After 45 days of age, the changes in muscle fiber types become relatively gradual.

Author response table 2. Developmental change of proportions of muscle fiber types in Longissimus dorsi muscle determined by histochemical analysis for myosin adenosine triphosphatase activity (%).

Least squares means and pooled standard errors (n = 3). MHC, myosin heavy chain; ND, not detected. *p<0.10, **p<0.01 Least square means followed by different letters on the same row are significantly different (p<0.05).

d 1 d 12 d 26 d 45 d 75 Pooled SE
MHC 1 7.2 8.2 12.1 14.8 11.2 1.8 *
MHC 2 a 92.8a 23.2b 18.6b 4.1c 3.1c 4.3 **
MHC 2 x or 2b ND 68.6b 69.3b 81.1ab 85.7a 4.8 **

Reference:

Katsumata, M., Yamaguchi, T., Ishida, A., & Ashihara, A. (2017). Changes in muscle fiber type and expression of mRNA of myosin heavy chain isoforms in porcine muscle during pre- and postnatal development. Animal science journal, 88(2), 364–371.

(2) Changes in muscle fiber types with age in rats:

As illustrated in the subsequent figure, the muscle fiber types in rats undergo significant changes before 20 days of age (3-week-old), notably with a pronounced increase in type IIb fast-twitch fibers. After reaching 20 days of age, the changes in type IIb muscle fibers tend to stabilize and become more gradual.

Author response image 2.

Author response image 2.

Reference:

Pandorf, C. E., Jiang, W., Qin, A. X., Bodell, P. W., Baldwin, K. M., & Haddad, F. (2012). Regulation of an antisense RNA with the transition of neonatal to IIb myosin heavy chain during postnatal development and hypothyroidism in rat skeletal muscle. American journal of physiology. 302(7), R854–R867.

(3) Changes in muscle fiber types with age in mice:

As depicted in the following figure, when comparing 10-week-old mice to 78-week-old aged mice, there are no significant changes in muscle fiber types.

Author response image 3.

Author response image 3.

Reference:

Hill, C., James, R. S., Cox, V. M., Seebacher, F., & Tallis, J. (2020). Age-related changes in isolated mouse skeletal muscle function are dependent on sex, muscle, and contractility mode. American journal of physiology. Regulatory, integrative and comparative physiology, 319(3), R296–R314.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 1—source data 1. The body weight of the mice (Figure 1A).
    Figure 1—source data 2. Skeletal muscle weight (Figure 1B).
    Figure 1—source data 3. Representative images of skeletal muscle (Figure 1C).
    Figure 1—source data 4. Original files for the western blot analysis (Figure 1D).
    Figure 1—source data 5. PDF containing Figure 1D and original scans of the relevant western blot analysis, with cropped areas.
    Figure 1—source data 6. Original files for the western blot analysis (Figure 1E).
    Figure 1—source data 7. PDF containing Figure 1E and original scans of the relevant western blot analysis, with cropped areas.
    Figure 1—source data 8. Original files for the western blot analysis (Figure 1F).
    Figure 1—source data 9. PDF containing Figure 1F and original scans of the relevant western blot analysis, with cropped areas.
    Figure 1—source data 10. The mRNA expression of muscle fiber type in gastrocnemius (GAS) and tibialis anterior (TA) muscle (Figure 1G).
    Figure 1—source data 11. The mRNA expression of muscle fiber type in C2C12 myotubes (Figure 1H).
    Figure 1—figure supplement 1—source data 1. The C2C12 cell viability was measured using CCK-8 kit.
    Figure 2—source data 1. Exhausting swimming time in mice (Figure 2A).
    Figure 2—source data 2. Metabolism enzymes activity in gastrocnemius (GAS) and tibialis anterior (TA) muscle (Figure 2B).
    Figure 2—source data 3. The mRNA expression of genes encoding mitochondrial complex components and transcription factors controlling mitochondrial biogenesis in gastrocnemius (GAS) muscle (Figure 2C).
    Figure 2—source data 4. Original files for the western blot analysis (Figure 2D).
    Figure 2—source data 5. PDF containing Figure 2D and original scans of the relevant western blot analysis, with cropped areas.
    Figure 2—source data 6. mtDNA copy number in muscles (Figure 2E).
    Figure 2—source data 7. mtDNA copy number in C2C12 myotubes (Figure 2F).
    Figure 3—source data 1. The average daily feed intake (ADF) and the ration of ADF to average daily weight gain (ADG) (Figure 3A).
    Figure 3—source data 2. Tissue weight of adipose weight (Figure 3B).
    Figure 3—source data 3. The level of T-CHO, LDL, and HDL in serum (Figure 3C).
    Figure 3—source data 4. The mRNA expression of genes related to lipolysis, lipogenesis, and lipid transport in inguinal white adipose tissue (iWAT) and gonadal white adipose tissue (gWAT) (Figure 3D).
    Figure 3—source data 5. The mRNA expression of genes related to adipose browning and thermogenesis in inguinal white adipose tissue (iWAT) and gonadal white adipose tissue (gWAT) (Figure 3E).
    Figure 3—source data 6. Original files for the western blot analysis (Figure 3F).
    Figure 3—source data 7. PDF containing Figure 3F and original scans of the relevant western blot analysis, with cropped areas.
    Figure 3—source data 8. Original files for the western blot analysis (Figure 3G).
    Figure 3—source data 9. PDF containing Figure 3G and original scans of the relevant western blot analysis, with cropped areas.
    Figure 3—source data 10. Original files for the western blot analysis (Figure 3H).
    Figure 3—source data 11. PDF containing Figure 3H and original scans of the relevant western blot analysis, with cropped areas.
    Figure 4—source data 1. The gene expression profile of transient receptor potential (TRP) channels in skeletal muscle (Figure 4A).
    Figure 4—source data 2. The mRNA expression of transient receptor potential (TRP) channels in tibialis anterior (TA) muscle (Figure 4B).
    Figure 4—source data 3. The mRNA expression of transient receptor potential (TRP) channels in C2C12 myotubes (Figure 4C).
    Figure 4—source data 4. Original files for the western blot analysis (Figure 4D).
    Figure 4—source data 5. PDF containing Figure 4D and original scans of the relevant western blot analysis, with cropped areas.
    Figure 4—source data 6. Original files for the western blot analysis (Figure 4E).
    Figure 4—source data 7. PDF containing Figure 4E and original scans of the relevant western blot analysis, with cropped areas.
    Figure 4—source data 8. Original files for the western blot analysis (Figure 4F).
    Figure 4—source data 9. PDF containing Figure 4F and original scans of the relevant western blot analysis, with cropped areas.
    Figure 4—source data 10. Original files for the western blot analysis (Figure 4G).
    Figure 4—source data 11. PDF containing Figure 4G and original scans of the relevant western blot analysis, with cropped areas.
    Figure 4—source data 12. Original files for the western blot analysis (Figure 4H).
    Figure 4—source data 13. PDF containing Figure 4H and original scans of the relevant western blot analysis, with cropped areas.
    Figure 4—source data 14. Original files for the western blot analysis (Figure 4I).
    Figure 4—source data 15. PDF containing Figure 4I and original scans of the relevant western blot analysis, with cropped areas.
    Figure 4—figure supplement 1—source data 1. Transient receptor potential (TRP) channels expression profiles in adipose tissue (Figure 4—figure supplement 1B).
    Figure 4—figure supplement 1—source data 2. The mRNA expression of transient receptor potential (TRP) channels in adipose tissue (Figure 4—figure supplement 1C).
    Figure 4—figure supplement 3—source data 1. The mRNA expression of Mcip1.
    Figure 5—source data 1. The flow cytometry assay (Figure 5A).
    Figure 5—source data 2. Original files for the western blot analysis (Figure 5B).
    Figure 5—source data 3. PDF containing Figure 5B and original scans of the relevant western blot analysis, with cropped areas.
    Figure 5—source data 4. Original files for the western blot analysis (Figure 5C).
    Figure 5—source data 5. PDF containing Figure 5C and original scans of the relevant western blot analysis, with cropped areas.
    Figure 5—source data 6. Original files for the western blot analysis (Figure 5D).
    Figure 5—source data 7. PDF containing Figure 5D and original scans of the relevant western blot analysis, with cropped areas.
    Figure 5—source data 8. Representative immunofluorescence images of slow myosin heavy chain (MyHC) (Figure 5E).
    Figure 6—source data 1. The mRNA expression of Mcip1 (Figure 6A).
    Figure 6—source data 2. Original files for the western blot analysis (Figure 6B).
    Figure 6—source data 3. PDF containing Figure 6B and original scans of the relevant western blot analysis, with cropped areas.
    Figure 6—source data 4. The enzyme activity of calcineurin (CaN) (Figure 6C).
    Figure 6—source data 5. The flow cytometry assay (Figure 6D).
    Figure 6—source data 6. The myokines mRNA expression (Figure 6E).
    Figure 6—source data 7. Correlation analysis of gene expression values (Figure 6F).
    Figure 7—source data 1. Original files for the western blot analysis (Figure 7A).
    Figure 7—source data 2. PDF containing Figure 7A and original scans of the relevant western blot analysis, with cropped areas.
    Figure 7—source data 3. Original files for the western blot analysis (Figure 7B).
    Figure 7—source data 4. PDF containing Figure 7B and original scans of the relevant western blot analysis, with cropped areas.
    Figure 7—source data 5. Original files for the western blot analysis (Figure 7C).
    Figure 7—source data 6. PDF containing Figure 7C and original scans of the relevant western blot analysis, with cropped areas.
    elife-90724-fig7-data6.pdf (1,023.7KB, pdf)
    Figure 7—source data 7. Original files for the western blot analysis (Figure 7D).
    Figure 7—source data 8. PDF containing Figure 7D and original scans of the relevant western blot analysis, with cropped areas.
    Figure 7—source data 9. Original files for the electrophoretic mobility shift assay (EMSA) analysis (Figure 7H).
    Figure 7—source data 10. PDF containing Figure 7H and original scans of the relevant electrophoretic mobility shift assay (EMSA) analysis, with cropped areas.
    Figure 7—source data 11. Original files for the western blot analysis (Figure 7I).
    Figure 7—source data 12. PDF containing Figure 7I and original scans of the relevant western blot analysis, with cropped areas.
    Figure 7—source data 13. The ratio between firefly luciferase intensity and Renilla luciferase intensity (Figure 7J).
    Figure 7—figure supplement 1—source data 1. Original files for the western blot analysis (Figure 7—figure supplement 1A).
    Figure 7—figure supplement 1—source data 2. PDF containing Figure 7—figure supplement 1A and original scans of the relevant western blot analysis, with cropped areas.
    Figure 7—figure supplement 1—source data 3. The mRNA expression of muscle fiber type in C2C12 myotubes (Figure 7—figure supplement 1B).
    Figure 7—figure supplement 1—source data 4. Original files for the western blot analysis (Figure 7—figure supplement 1C).
    Figure 7—figure supplement 1—source data 5. PDF containing Figure 7—figure supplement 1C and original scans of the relevant western blot analysis, with cropped areas.
    Figure 8—source data 1. The IL-15 mRNA expression in gastrocnemius (GAS) and tibialis anterior (TA) muscle (Figure 8A).
    Figure 8—source data 2. Original files for the western blot analysis (Figure 8B).
    Figure 8—source data 3. PDF containing Figure 8B and original scans of the relevant western blot analysis, with cropped areas.
    Figure 8—source data 4. Original files for the western blot analysis (Figure 8C).
    Figure 8—source data 5. PDF containing Figure 8C and original scans of the relevant western blot analysis, with cropped areas.
    Figure 8—source data 6. The mRNA expression and correlation analysis of gene expression values (Figure 8D).
    Figure 8—source data 7. Original files for the western blot analysis (Figure 8E).
    Figure 8—source data 8. PDF containing Figure 8E and original scans of the relevant western blot analysis, with cropped areas.
    Figure 8—source data 9. The concentration of IL-15 in serum (Figure 8F).
    Figure 9—source data 1. IL-15 mRNA expression in C2C12 myotubes (Figure 9A).
    Figure 9—source data 2. Original files for the western blot analysis (Figure 9B).
    Figure 9—source data 3. PDF containing Figure 9B and original scans of the relevant western blot analysis, with cropped areas.
    Figure 9—source data 4. IL-15 mRNA expression in C2C12 myotubes (Figure 9C).
    Figure 9—source data 5. Original files for the western blot analysis (Figure 9D).
    Figure 9—source data 6. PDF containing Figure 9D and original scans of the relevant western blot analysis, with cropped areas.
    MDAR checklist
    Supplementary file 1. The primer sequences used in the study.
    elife-90724-supp1.docx (77.5KB, docx)

    Data Availability Statement

    All data generated or analyzed during this study are included in the manuscript and supporting files.


    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES