| Literature DB >> 28747869 |
Liu Lei1, Sui Xiaoyi1, Li Fuchang1.
Abstract
The present study was conducted to investigate the effect of copper supplementation on lipid metabolism in rabbits. Our study showed dietary copper addition (5-45 mg/kg) increased body mass gain, but decreased fat and liver weights compared with those in the control group (P < 0.05). Copper (45 mg/kg) addition significantly increased the skeletal muscle weight, but inhibited cytoplasmic lipid accumulation in liver, skeletal muscle and adipose tissue (P < 0.05). Compared with the control group, dietary copper addition (45 mg/kg) significantly increased plasma triglyceride levels but decreased very low density lipoprotein levels (P < 0.05). Copper treatment significantly increased gene expression of carnitine palmitoyltransferase (CPT) 1, CPT2 and peroxisome proliferator-activated receptor (PPAR) a in liver (P < 0.05). In skeletal muscle, CPT1, CPT2, fatty acid transport protein, fatty acid-binding protein, and PPARa mRNA as well as phosphorylated AMP-activated protein kinase (AMPK) levels were significantly up-regulated by copper treatment (P < 0.05). Rabbits receiving copper supplementation had higher CPT1, CPT2, PPARa and hormone-sensitive lipase mRNA levels in adipose tissue (P < 0.05). In conclusion, copper promoted skeletal muscle growth and reduced fat accretion. PPARa signaling in liver, skeletal muscle and adipose tissues and AMPK signaling in skeletal muscle tissue were involved in the regulation of lipid metabolism by copper.Entities:
Keywords: AMPK; Copper; PPAR; lipid metabolism; rabbits
Year: 2017 PMID: 28747869 PMCID: PMC5510220 DOI: 10.1080/16546628.2017.1348866
Source DB: PubMed Journal: Food Nutr Res ISSN: 1654-661X Impact factor: 3.894
Effect of copper treatment on body mass gain (n = 36), liver growth, skeletal muscle growth, and lipid accumulation (n = 8) in rabbits
| 0 | 5 | 15 | 45 | ||
|---|---|---|---|---|---|
| Body mass gain (g/day) | 22.90 ± 0.49b | 24.43 ± 0.44ab | 25.10 ± 0.30a | 24.79 ± 0.53a | 0.0455 |
| Food intake (g/day) | 124.10 ± 1.01 | 124.39 ± 1.30 | 126.68 ± 0.7 | 124.25 ± 0.80 | 0.2802 |
| Liver yield (g) | 100.72 ± 2.30a | 86.46 ± 4.73bc | 89.98 ± 4.25b | 72.56 ± 2.33d | <0.0001 |
| Liver yield/BW (%) | 3.78 ± 0.10a | 3.28 ± 0.15b | 3.42 ± 0.15b | 2.82 ± 0.09c | 0.0001 |
| Foreleg yield (g) | 144.99 ± 4.64b | 151.44 ± 6.40ab | 150.75 ± 3.93ab | 158.41 ± 3.31a | 0.0394 |
| Hindleg yield (g) | 322.10 ± 10.82b | 333.35 ± 11.72ab | 337.10 ± 7.50ab | 357.10 ± 5.59a | 0.0419 |
| Foreleg yield/BW (%) | 5.43 ± 0.14b | 5.74 ± 0.11b | 5.73 ± 0.12b | 6.16 ± 0.10a | 0.0072 |
| Hindleg yield/BW (%) | 12.08 ± 0.35b | 12.65 ± 0.18b | 12.83 ± 0.27b | 13.89 ± 0.25a | 0.0024 |
| Shoulder fat yield (g) | 7.32 ± 0.50a | 5.50 ± 0.54bc | 5.21 ± 0.28c | 5.63 ± 0.23bc | 0.0063 |
| Perirenal fat yield (g) | 34.58 ± 4.14a | 23.56 ± 3.10b | 24.75 ± 1.15b | 23.40 ± 2.20b | 0.0367 |
| Perigastric fat yield (g) | 9.90 ± 1.18a | 8.65 ± 1.02ab | 7.63 ± 0.91ab | 6.40 ± 0.56b | 0.0974 |
| Shoulder fat yield/BW (%) | 0.27 ± 0.01a | 0.20 ± 0.02b | 0.19 ± 0.01b | 0.21 ± 0.01b | 0.0024 |
| Perirenal fat yield/BW (%) | 1.27 ± 0.14a | 0.92 ± 0.12b | 0.92 ± 0.05b | 0.91 ± 0.08b | 0.0650 |
| Perigastric fat yield/BW (%) | 0.39 ± 0.04a | 0.30 ± 0.03ab | 0.28 ± 0.03b | 0.27 ± 0.02b | 0.0700 |
Values are the means ± standard error of the mean (for food intake and body mass gain, n = 36; for ratio and yield of tissue or organ, n = 8); Means with different superscripts (a, b, c, and d) are significantly different (p < 0.05).
Figure 1.Oil Red O staining of cytoplasmic lipid droplets showing the effect of dietary copper treatment (45 mg/kg) on lipid accumulation in the liver (a), skeletal muscle (b), and adipose tissue (c) from rabbits (n = 8; 200×).
Figure 2.Effects of dietary addition of copper on plasma concentrations of triglycerides (mmol/L), very low density lipoprotein (absorbance), insulin (uIU/mL), and leptin (uIU/mL) in rabbits. Values are the means ± standard error f the mean (SEM; n = 8). Means with different superscripts (a–c) are significantly different (p < 0.05).