Table 6.
Effects of FSC-S and FSC-SpEt supplement on body weight (BW) gain in normal and experimental hypercholesterolemic (HCL) mice
| Groups | Drug dose (%, w/w) |
BW (g) | BW gain (g) | BW (g) at | BW-LW (g) at D10 |
||
|---|---|---|---|---|---|---|---|
| at D0 | D2-D0 | D6-D0 | D10-D0 | D10 | |||
| Normal mice | |||||||
| ND | – | 17.10 ± 0.23 | 3.99 ± 0.76 | 8.13 ± 0.49 | 11.17 ± 0.54 | 28.27 ± 0.47 | 26.57 ± 0.43 |
| ND/FSC-S | 9 | 17.41 ± 0.22 | -0.92 ± 0.41** | 0.71 ± 0.56** | 2.80 ± 0.86** | 20.22 ± 0.73** | 18.32 ± 0.62** |
| ND/FSC-SpEt | 9 | 17.21 ± 0.21 | 3.87 ± 0.30 | 8.33 ± 0.41 | 11.05 ± 0.34 | 28.26 ± 0.26 | 26.41 ± 0.23 |
| ND/FF | 0.05 | 17.33 ± 0.23 | 3.82 ± 0.46 | 7.33 ± 0.59 | 10.21 ± 0.69 | 27.54 ± 0.55 | 24.79 ± 0.51* |
| HCL mice | |||||||
| ND | – | 20.74 ± 0.40 | 2.73 ± 0.52 | 5.90 ± 0.70 | 8.45 ± 0.71 | 29.19 ± 0.68 | 27.40 ± 062 |
| HCBD | – | 20.73 ± 0.28 | 2.41 ± 0.45 | 5.88 ± 0.39 | 8.25 ± 0.49 | 28.99 ± 0.47 | 26.92 ± 0.48 |
| HCBD/FSC-S | 3 | 20.52 ± 0..31 | 2.87 ± 0.55 | 6.45 ± 0.70 | 8.57 ± 0.64 | 29.09 ± 0.68 | 26.53 ± 0.63 |
| 9 | 20.90 ± 0.37 | -0.78 ± 0.41## | 2.06 ± 0.60## | 4.41 ± 0.79## | 25.31 ± 0.61## | 22.44 ± 0.49## | |
| HCBD/FSC-SpEt | 3 | 20.29 ± 0.35 | 2.87 ± 0.38 | 6.31 ± 0.48 | 8.37 ± 0.69 | 28.66 ± 0.54 | 26.66 ± 0.50 |
| 9 | 20.71 ± 0.34 | 2.61 ± 0.40 | 5.53 ± 0.85 | 7.71 ± 0.72 | 28.42 ± 0.79 | 26.32 ± 0.70 | |
| HCBD/FF | 0.05 | 20.67 ± 0.35 | 3.29 ± 0.39 | 6.31 ± 0.41 | 7.74 ± 0.54 | 28.40 ± 0.46 | 24.94 ± 0.40## |
Experimental details were described in Table 1. Mice were fed with ND and HCBD without or with FSC-S, FSC-SpEt, or FF supplementation. Body weight (BW) in each mouse was measured before medication (D0) and at D2, D6 and D10 following administration of drug. In addition, the values of BW minus liver weight (LW) were also determined due to hepatomegaly caused by FSC-S and FF supplement. Values given are the means ± SEM, with n = 10. * P < 0.05, ** P < 0.01 vs ND; # P < 0.05, ## P < 0.01 vs HCBD. Statistical significant differences were determined using a one-way ANOVA followed by Dunnett’s multiple comparisons test or post-hoc analysis