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J Exerc Rehabil > Volume 12(3);2016 > Article
An, Yoon, Suk, and Shin: Up-regulation of lipolysis genes and increased production of AMP-activated protein kinase protein in the skeletal muscle of rats after resistance training


The purpose of this study was to investigate the expression of lipogenesis- and lipolysis-related genes and proteins in skeletal muscles after 12 weeks of resistance training. Sprague-Dawley rats (n=12) were randomly divided into control (resting) and resistance training groups. A tower-climbing exercise, in which rats climbed to the top of their cage with a weight applied to their tails, used for resistance training. After 12 weeks, rats from the resistance training group had lower body weights (411.66±14.71 g vs. 478.33±24.63 g in the control), there was no significant difference between the two groups in the concentrations of total cholesterol, and high or low density lipoprotein cholesterol. However, the concentration of triglyceride was lower in resistance-trained rats (59.83±14.05 μg/mL vs 93.33±33.89 μg/mL in the control). The mRNA expression levels of the lipogenesis-related genes sterol regulatory element binding protein-1c, acetyl-CoA carboxylase, and fatty acid synthase were not significantly different between the resistance-trained and control rats; however, mRNA expression of the lipolysis-related carnitine palmitoyl transferase 1 and malonyl-CoA decarboxylase increased significantly with resistance training. AMP-activated protein kinase protein levels also significantly increased in resistance training group compared with in the control group. These results suggested that resistance exercise training contributing to reduced weight gain may be in part be due to increase the lipolysis metabolism and energy expenditure in response to resistance training.


Taking exercise, particularly aerobic exercise, is a low-cost therapeutic lifestyle change that has been recommended for improving lipid and lipoprotein levels in adults (Rosamond et al., 2008). The improvements in lipoprotein-lipid profiles with aerobic training (Booth and Baldwin, 1996; Coon et al., 1989; Lokey and Tran, 1989; Poirier et al., 1996) are reportedly due primarily to an accompanying loss of fat mass that results from increased fat oxidation with exercise (Jeukendrup, 2002). Aerobic exercise has also been shown to increase the following: AMP-activated protein kinase (AMPK) with the increasing translocation of glucose transporter type 4 to the plasma membrane and glucose uptake (Hayashi et al., 2000), carnitine palmitoyl transferase 1 (CPT-1) as the rate-limiting enzyme for fatty acid oxidation (McGarry and Brown, 1997; Melanson et al., 2010), and the first step specific to the fatty acid oxidation process (Braith and Stewart, 2006); sterol regulatory element binding protein-1c (SREBP-1c) as a transcription factor that regulates lipogenic gene expression related to fatty acid synthase (FAS), malonyl-CoA, and acetyl-CoA carboxylase (ACC) (Brown and Goldstein, 1997; Ikeda et al., 2002). In addition, various transcriptional coactivators and transcription factors are known to control fatty acid β-oxidation and intramuscular triglyceride (TG) transport (Russell et al., 2005).
In contrast to the effects of aerobic exercise, the effects of resistance training (i.e., strength or weight training) on the lipoprotein-lipid profile did not well documented. Resistance training is suggested to be effective for increasing muscle mass (Trevisan et al., 2010; Warburton et al., 2001), muscle strength (Lima et al., 2009), bone mineral density (American College of Sports Medicine et al., 2009; Lima et al., 2009), and for reducing total and relative body fat stores (Donnelly et al., 2003; Rabelo et al., 2011) 12. However, the reported effects of resistance training on lipids and lipoprotein are inconsistent. For example, some previous studies have shown that resistance training reduces total cholesterol (TC), TG, and low-density lipoprotein cholesterol (LDL-C), and increases high-density lipoprotein cholesterol (HDL-C) (Castaneda et al., 2002; Fahlman et al., 2002; Kelley and Kelley, 2009). Whereas, other studies have reported that lipids and lipoproteins remain unchanged after resistance training (Banz et al., 2003; Elliott et al. 2002; Vincent et al., 2003 ).
Skeletal muscle, which accounts for 30%–40% of body mass in mammals, is an important site for glucose clearance, lipid oxidation, and thermogenesis. It is a flexible tissue capable of altering the type and level of proteins expressed in response to complex processes and specific signaling mechanisms (Bouchard et al., 1997). Exercise-induced adaptation in skeletal muscle results in a variety of metabolic changes including cellular biogenesis (Irrcher et al., 2003) and subsequent protein synthesis (Booth and Baldwin, 1996). Endurance exercise training increases the capacity for fat oxidation by increasing mitochondrial density in skeletal muscle as well as the gene expression and protein content of free fat acid (FFA) transporters, which may assist in the uptake and delivery of FFA to the mitochondria. However, the effects of lipid metabolism in skeletal muscle after resistance training are currently unclear. For example, the physiological role played by malonyl-CoA decarboxylase (MCD) in the regulation of malonyl-CoA (which is involved in fatty acid biosynthesis) remains open to question, as are the mechanisms by which its activity regulated.
Based on the aforementioned knowledge gaps, the aims of this study were as follows. First, the metabolic effects of resistance training on the transcriptional regulation of lipid metabolism-related enzymes (i.e., those involved in lipogenesis and lipolysis) investigated in the skeletal muscle of rats. Second, changes in body composition and plasma lipid concentrations (i.e., for TC, TG, LDL-C, and HDL-C) due to lipid metabolism during resistance training were also assessed in the same animals.


Experimental animals and treatment

Twelve male Sprague-Dawley rats (203±12.43 g; DBL, Eumseong, Korea) housed in plastic cages at 7 weeks of age. The animals were housed in colony cages in a controlled environment with a maintained temperature (24°C) and humidity (56%), and a 12:12-hr light:dark cycle (dark cycle was from 12:00 a.m. until 12:00 p.m.). All rats had free access to water and food. The 12 rats were randomly divided into two groups designated as the rest (CON, n=6) and resistance training (RT, n=6) groups. The experimental protocol developed according to the guidelines of the Korean Science Academy for the care and use of laboratory animals.

Resistance training program

For resistance training, a tower climbing exercise used. This involved climbing a 1.35-m-high ladder with 2.5-cm grid steps and a 60° gradient. This equipment previously applied by Lee et al. (2004). In the first week of training, rats familiarized with the process of climbing to the top of their cage with a weight load (plastic bolt) attached to their tail that represented 50% of their body weight. Training took place on three alternating days (one day with training, one day without). After this first week of adaptation, the one-rep maximum (1RM) of exercised rats was calculated. Training sessions from the second weeks and for the next 8 weeks, involved training with intensities at 50%, 75%, 90%, and 100% of each rat’s 1RM. If, during these 8 weeks, a rat was able to complete eight climbs each with an increasing weight load, the training session considered to have been performed from the bottom to the top, and 30 g of extra weight was added to the next trial period from 9 to 12 weeks. Once a rat had climbed from the bottom to the top of the ladder, they had given 2 min of rest before the next trial.

Sample preparation

Rats were sacrificed 24 hr after their last bout of exercise. On the day of sacrifice, rats anaesthetized with chloroform and blood collected from the left ventricle. Tissue from skeletal muscle, specifically the biceps, collected and weighed. These samples were immediately frozen in liquid nitrogen and stored at −80°C to await analysis.

Lipid profiles

Blood collected and centrifuged at 3,000 rpm for 10 min at 4°C, and the resultant serum was stored at −20°C until use. TG, TC, and HDL-C analyzed using the enzymatic colorimetric method on a COBAS integra 800 instrument (Roche, Basel, Switzerland). LDL-C calculated as follows using the Friedewald equation (1972): LDL-C=TC–HDL-C–TG/5.

RNA isolation and reverse transcription polymerase chain reaction

Total RNA from the biceps was isolated using RibospinTM (GeneAll, Seoul, Korea). Total RNA quantified at 260-nm absorption by using a NanoVue Spectrophotometer (GE Healthcare, Freiburg, Germany). mRNA expression levels were measured using a reverse transcription polymerase chain reaction (RT-PCR) machine (Labnet, Woodbridge, NJ, USA), and RT-PCR was conducted using 1 μg of denaturated RNA and PCR premix (Bioneer, Seoul, Korea). Forward and reverse primers obtained from Bioneer, and their sequences were as follows: β-actin forward primer, 5′-CGTAAAGACCTCATAGCCAA-3′; β-actin reverse primer, 5′-AGCCATGCCAAATGTGTCAT -3′; ACC-2 forward primer, 5′-ACAGTGAAGGCTTACGTCTG-3′; ACC-2 reverse primer, 5′-AGG ATCCTTACAAC-CTCTGC-3′; FAS forward primer, 5′-TGTCAACCGTGTCAGCCTG-3′; FAS reverse primer, 5′-TGGATGATGTTGATGATAGAC-3′; SREBP-1c forward primer, 5′-GGA GCCATGGATTGCACATT-3′; SREBP-1c reverse primer, 5′-AGGAAGGCTTCCAGAGAGGA-3′; CPT-1 forward primer, 5′-GGAGACAGACACCATCCAACATA-3′; CPT-1 reverse primer, 5′-AGGTGATGGACCTTGTCAACCC-3′; lipoprotein lipase (LPL) forward primer, 5′-ACCAT CAGGATATAGCACCC-3′; LPL reverse primer, 5′-ACCATCAGGATATAGCACCC-3′; MCD forward primer, 5′-CCGCTGGAACATCACTTTG-3′; MCD reverse primer, 5′-GGGGATACGG CTGGAT-3′. The signal from the housekeeping gene β-actin used for normalization. The band density of PCR confirmed by electrophoresis on a 6% agarose gel.

Western blot analysis

Skeletal muscle tissue was homogenized in Triton lysis buffer (20-mM Tris, pH 7.4; 137-mM NaCl; 25-mM β-glycerophosphate, pH 7.14; 2-mM sodium pyrophosphate; 2-mM ethylene-diaminetetraacetic acid; 1-mM Na3VO4; 1% Triton X-100; 10% glycerol; 5-μg/mL leupeptin; 5-μg/mL aprotinin; 3-μM benzamidine; 0.5-mM dithiothreitol; and 1-mM phenylmethanesulfonyl fluoride. The protein concentration of the supernatants measured using the Bradford method (1976). Proteins (50 μg in each lane), ACC and AMPK, were separated using 10% sodium dodecyl sulfate-polyacrylamide gel electrophoresis and transferred to a polyvinylidene difluoride membrane (Pall Corp., Port Washington, NY, USA) from Millipore. Membrane blocking was performed by using a blocking buffer (34-mL Tris-buffered saline and 1.05-g bovine serum albumin) at room temperature for 1 hr. Rabbit polyclonal antibody (p-ACC Ser; Cell Signaling Technology, Beverly, MA, USA) and anti-AMPK antibody (400064; Calbiochem, SanDiego, CA, USA) were used following dilution in blocking solutions at 1:1,000 dilutions. After washing, an horseradish peroxidase-conjugated secondary antibody added and the blot incubated for 30 min at room temperature. The membrane then washed, and the bands were visualized using electrochemiluminescence (Amersham Biosciences UK Ltd, Giles, UK). The films were scanned with a Sharp JX-330 scanner, and protein bands were quantified using Image Master v3.0 analysis software (Amersham Pharmacia Biotech, Piscataway, NJ, USA).

Statistical analysis

Statistical analyses conducted using SPSS ver. 17.0 (SPSS Inc., Chicago, IL, USA). In this report, all values expressed as mean±standard deviation. The independent t-test were used to analyze weight differences between the CON and RT groups during the 12-week training period, and to determine significant differences in lipogenesis and lipolysis variables between groups. P<0.05 considered statistically significant.


Changes in body weight of rats during 12 weeks resistance training

Table 1 shows the changes in body weight observed in rats during the 12 weeks of resistance training. Analysis showed that there was an interaction between the CON and RT groups (F [5, 50]=28.795, P<0.001). At the baseline (0 week), the body weight of rats in the CON (194.16±13.93 g) and RT (198.33± 5.16 g) groups were similar. There was a significant difference in body weight observed between the two groups at 4 weeks, with body weight significantly lower in the RT group (P<0.001). This difference maintained until the end of training at 12 weeks.

Blood lipid profiles in rats after 12-week resistance training

Table 2 shows blood lipid profiles in rats after 12-week resistance training. No significant differences in TC, HDL-C, or LDL-C observed between the CON and RT groups. However, rats in the RT group showed significantly lower TG levels than those in the CON group (P<0.05).

Lipogenesis- and lipolysis-related mRNA and protein expression in rat muscle tissue

The level of lipogenesis gene mRNA observed in muscle tissue was not significantly different between the RT and CON group (Fig. 1). However, for lipolysis-related genes, CPT-1 (P<0.05) and MCD (P<0.001), mRNA levels significantly increased in the RT group compared with those observed in the CON group (Fig. 2). In addition, AMPK protein levels (also related to lipolysis) were significantly higher in the RT group compared with AMPK levels in the CON group (P<0.001) (Fig. 3).


Resistance training is associated with a significant decrease in body weight and percentage body fat resulting from increased energy expenditure due to increased fat free mass. In previous studies, resistance training also increased fat oxidation during rest and exercise, which might account for the associated decrease in body weight and percentage body fat (Washburn et al., 2012). In the present study, body weight was significantly lower in RT group compared with in the CON group. This result observed after 4 weeks of training and maintained throughout the training period. Therefore, resistance training controlled the rats’ weight may be due to increased lipolysis metabolism and energy expenditure in response to resistance training (Miyazaki et al., 2001).
During resistance exercise, a large amount of energy utilized by muscle contractions. Glycogen is a primary intramuscular energy source in skeletal muscle; however, these muscles also contain TG, which is another energy-rich substrate that may be used during prolonged exercise (Ikeda et al., 2002). Schrauwen et al. (1998) reported that the reduction in muscle glycogen storage after exercise was the major mediator of enhanced fatty acid oxidation. An exercise-mediated increased in AMPK activity can also increase fat oxidation (Merrill et al., 1997) as well as block TG synthesis in skeletal muscle (Muoio et al., 1999). Yang et al. (2006) found that 8 weeks of resistance training in rats significantly reduced weight gain and increased TG concentration in serum but had no effect on TC, HDL-C, and LDL-C. They suggested that changes in TG concentration facilitated an increase in fatty acid via TG for the purposes of supercompensation, which functioned to provide energy to the skeletal muscle. Similarly, we found that TC, HDL-C, and LDL-C concentrations were not affected by resistance training; however, in contrast to Yang et al. (2006), we observed significantly lower TG concentrations in rats to resistance training compared with those in the control group. Nadeau et al. (2006) suggested that lipogenesis-related gene expression may be enhanced by the compensatory interaction of lipid metabolism during the early exercise period, and that this gene expression later decreases to adjust for prolonged periods of resistance training. Therefore, we suggest that lipogenesis-related gene expression was not affected by resistance training in our study because lipid metabolism may have adapted during the relatively long 12-week period of resistance exercise training.
A family of membrane-bound transcription factors, the SREBPs, regulates lipid homeostasis in vertebrate cells. SREBPs directly activate the expression of more than 30 genes dedicated to the synthesis and uptake of cholesterol, fatty acids, TGs, and phospholipids, as well as the nicotinamide adenine dinucleotide phosphate cofactor required to synthesize these molecules (Edwards et al., 2000; Sakakura ret al., 2001). Of the three SREBP isoforms, SREBP-1c preferentially enhances transcription of genes required for fatty acid synthesis, but not cholesterol synthesis, in the liver, adipose tissue, and skeletal muscle (Brown and Goldstein 1997; Guillet-Deniau et al., 2002; Muoio et al., 1999). SREBP-1c is a key transcription factor for up-regulation of lipogenic pathway genes, such as ACC and FAS, and down-regulation of lipolysis pathway genes, such as CPT-1, in the skeletal muscle. Previous studies have demonstrated that SREBP-1c and FAS activation increases in skeletal muscle after endurance exercise (Goodpaster et al., 2001; Nadeau et al., 2006) and swimming training (Ikeda et al., 2002). However, in the present study, mRNA expression of SREBP-1c, FAS, and ACC was not significantly different between rats subjected to resistance training and those in the rest-control group. These differences may be attributable to differences in exercise type, duration, and intensity between the various training programs.
Although endurance training affects lipogenesis gene expression, the effects of resistance training, e.g., climbing exercises, on the expression of these genes appear to be inconsistent (Kelley and Kelley, 2009; Lokey and Tran, 1989). In addition, endurance training results in higher oxidative stress than resistance training, and it increases lipolysis gene expression because the exercise stimulates TG replenishment in skeletal muscle, which in turn up-regulates SREBP-1c leading to an increase in ACC and FAS mRNAs. This could explain why these changes appear in the biological response to endurance training rather than that of resistance training. Another reason could be the control of diet, i.e., experimentation with or without dietary restrictions. Here, we did not restrict the calorie intake of rats during the training period; however, Nadeau et al. (2006) reported that IMTG increased when calories were restricted, which may be an important biological defense mechanism in response to limited glycogen stores. In this reason, this experiment may not need to be increasing TG for fuel, so it has less effects lipogenesis pathway.
Malonyl-CoA is regulated by the enzyme MCD, which converts malonyl-CoA back to acetyl-CoA. Genetic knockdown of MCD results in elevated malonyl-CoA levels and reduced rates of fatty acid oxidation in both human and rodent skeletal muscle (Bouzakri et al., 2008; Koves et al., 2008). MCD activity is enhanced by AICAR and contractions in skeletal muscle (Kuhl et al., 2006; Park et al., 2002), and increased MCD activity can be attributed to the activation of AMPK, an enzyme that phosphorylates and inhibits ACC (Saha et al., 2000). CPT-1, an enzyme that controls the transfer of long-chain fatty acyl CoA into mitochondria, also inhibits ACC and FAS, and it decreased in malonyl-CoA and increased in CPT-1 (Ruderman et al., 2003). In our study, the activity of the lipolysis-related enzymes CPT-1 and MCD increased after resistance training; thus, we suggest that resistance training may stimulate CPT-1 by enhanced β-oxidation.
Our results also showed that AMPK activity significantly increased following resistance training. AMPK has been proposed as a key molecule for eliciting metabolic adaptations to exercise and it is an important regulator of the energy consumption and regeneration pathway (Sakamoto and Goodyear, 2002). Moreover, AMPK is a multisubunit enzyme that recognized as a major regulator of the lipid biosynthetic pathway because of its role in the phosphorylation and inactivation of key enzymes such as ACC (Hardie and Carling, 1997). AMPK mediates a decrease in SREBP-1 mRNA and protein expression, and AMPK phosphorylation inhibits ACC and FAS, which is the rate-limiting enzyme for malonyl-CoA synthesis (Foretz et al., 1998; Woods et al., 2000), and increases CPT-1, the activation of which increases fatty acid oxidation (Assifi et al., 2005).
In this study, despite observing increased AMPK activity in the skeletal muscles of rats after resistance training, the expression of lipogenesis genes SREBP-1c, ACC2, and FAS not affected by resistance training. However, the expression of the lipolysis genes CPT-1 and MCD increased after resistance training along with AMPK activity. The resistance exercise apparently increased fatty acid oxidation; Here, in addition to increased lipolysis gene expression, AMPK protein levels increased in rats after resistance training. Therefore, we suggest that resistance training affected lipolysis-related protein and enzyme activity in skeletal muscle, and that this lead to increased lipid metabolism and reduced weight gain in rats.



No potential conflict of interest relevant to this article was reported.


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Fig. 1
The activity of lipogenesis genes, measured as mRNA expression, in the biceps muscle tissue of rats after 12 weeks of resistance training. Values are presented as mean±standard deviation and presented as the absolute value of mRNA volume. CON, control (rest) group; RT, resistance training group (n=6 for each group); SREBP-Ic, sterol regulatory element binding protein-1c; FAS, fatty acid synthase; ACC, acetyl-CoA carboxylase.
Fig. 2
The activity of lipolysis genes, measured as mRNA expression, in the biceps muscle tissue of rats after 12 weeks of resistance training. Values are presented as mean±standard deviation and presented as the absolute value of mRNA volume. CON, control (rest) group; RT, resistance training group (n=6 for each group). LPL, lipoprotein lipase; CPT-1, carnitine palmitoyl transferase 1; MCD, malonyl-CoA decarboxylase. *P<0.05. ***P<0.001.
Fig. 3
AMP-activated protein kinase (AMPK) protein levels in the biceps muscle tissue of rats after 12 weeks of resistance training. Values are presented as mean±standard deviation and presented as the absolute value of protein volume. CON, control (rest) group; RT, resistance training group (n=6 for each group). ***P<0.001.
Table 1
Changes in the body weight of rats during 12 weeks of resistance training
Group Control Resistance training t-value
0 Week 194.16±13.93 198.33±5.16 0.687
4 Weeks 368.33±12.52 316.66±12.51 7.150***
8 Weeks 436.66±19.91 370.83±14.63 6.525***
12 Weeks 478.33±24.63 411.66±14.71 5.691***

Values are presented as mean±standard deviation.

*** P<0.001.

Table 2
Blood lipid profiles of rats during 12 weeks of resistance training
Variable Control Resistance training t-value
Total cholesterol (mg/dL) 78.83±10.78 77.50±8.31 −0.24
HDL-cholesterol (mg/dL) 26.50±2.88 25.33±3.88 −0.59
LDL-cholesterol (mg/dL) 11.33±1.51 11.50±0.84 −0.24
Triglyceride (mg/dL) 93.33±33.89 59.83±14.05 −2.24*

Values are presented as mean±standard deviation.

HDL, high-density lipoprotein; LDL, low-density lipoprotein.

* P<0.05.

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