TABLE 1.
Genotype | Low-fat diet | High-fat diet | Δ (High-fat − low-fat) | ||||||
---|---|---|---|---|---|---|---|---|---|
WT | Mc3rKO | Mc4rKO | WT | Mc3rKO | Mc4rKO | WT | Mc3rKO | Mc4rKO | |
Gain in body mass energy (kJ/d) | |||||||||
Male | 0.5 ± 0.2a | 2.3 ± 0.7a | 6.6 ± 1.8b | 4.4 ± 0.6a# | 11.3 ± 1.1 b* | 15.2 ± 1.4c* | 3.9 ± 0.6a | 9.0 ± 0.7b | 8.6 ± 2.9b |
Female | 0.4 ± 0.2a | 1.7 ± 0.4a | 10.0 ± 1.1b | 1.5 ± 0.5a | 5.1 ± 1.3b # | 19.3 ± 0.6c* | 1.1 ± 5a | 3.6 ± 1.4a* | 9.3 ± 1.4b |
Energy intake (kJ/d) | |||||||||
Male | 58.6 ± 2.3a | 57.0 ± 2.1a | 70.6 ± 2.2b | 62.4 ± 2.8a | 63.9 ± 1.3a# | 84.6 ± 2.4b* | 3.8 ± 1.6a | 6.9 ± 1.9a | 14.0 ± 4.0b |
Female | 54.3 ± 1.6a | 53.5 ± 2.5a | 78.0 ± 0.5b | 58.2 ± 1.8a* | 55.1 ± 2.6a | 90.8 ± 1.7b* | 3.9 ± 1.4a | 1.6 ± 0.9a | 12.8 ± 1.9b |
bEEest (kJ/d) | |||||||||
Male | 57.6 ± 2.3 | 53.5 ± 1.6 | 60.7 ± 2.1 | 55.7 ± 2.8a | 47.1 ± 1.1a # | 61.8 ± 2.0a,b | -1.9 ± 1.1 | −6.4 ± 2.5 | + 1.1 ± 3.9 |
Female | 53.4 ± 1.5a | 50.9 ± 2.5a | 63.0 ± 1.6b | 55.8 ± 1.7a | 47.3 ± 0.9b | 62.0 ± 1.6c | + 2.4 ± 1.3 | −3.6 ± 2.0 | −0.9 ± 3.1 |
ME% | |||||||||
Male | 0.9 ± 0.3a | 4.0 ± 1.1a | 9.2 ± 2.4b | 7.1 ± 0.9a* | 17.6 ± 1.4b* | 17.9 ± 1.5b* | 6.2 ± 1.1a | 13.7 ± 1.0b | 8.7 ± 3.7a,b |
Female | 0.7 ± 0.4a | 3.1 ± 0.8a | 12.9 ± 1.4b | 2.5 ± 0.8a | 9.1 ± 1.9b # | 21.3 ± 0.7c* | 1.7 ± 0.7a* | 6.0 ± 2.1a,b* | 8.4 ± 1.9b |
Data are from the mice whose growth curves are shown in Fig. 1, A–D, and represent weekly means collected during 3 wk on a low-fat and 5 wk on a high-fat diet. bEEest represents the proportion of kilojoules consumed less the metabolic cost of fat and protein deposition and is an estimate of the kilojoules available for non-growth-related basal metabolism and physical activity. The effect of genotype and diet on each of the parameters shown was analyzed using two-way ANOVA with repeated measures (low-fat and high-fat diet). Values not sharing a superscript letter (a, b, and c) within rows and within diets are statistically different from each other at P < 0.05; for the effects of diet within sex and within genotype:
P < 0.05;
P < 0.01.
The Δ (high-fat − low-fat) data were analyzed using two-way ANOVA with sex and genotype as independent variables. Values not sharing superscripts within rows (i.e. genotype) are statistically different from each other at P < 0.05. *, Significant effect of sex (within column) at P < 0.05.