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Review
. 2010 Feb;59(2):323-9.
doi: 10.2337/db09-1471.

A recurring problem with the analysis of energy expenditure in genetic models expressing lean and obese phenotypes

Affiliations
Review

A recurring problem with the analysis of energy expenditure in genetic models expressing lean and obese phenotypes

Andrew A Butler et al. Diabetes. 2010 Feb.
No abstract available

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Figures

FIG. 1.
FIG. 1.
Comparison of energy expenditure in genetically obese mouse strains using data expressed per mouse or adjusted for body weight (BW) or fat-free mass (FFM). The data shown are from studies performed by the Pennington Biomedical Research Center using indirect calorimetry (Columbus Instruments). The numbers in parentheses in A indicate the number of animals used per genotype. Data were analyzed by two-way ANOVA, testing for significance of sex, genotype, and interactions. A: Body composition (fat-free mass) of male and female wild-type (WT), Mc4r−/− (Mc4r), and Lepob/Lepob (Ob) mutant mice on the C57BL/6J background was measured using nuclear magnetic resonance (Bruker Minispec) (61). The effects of genotype were highly significant (*P < 0.0001 between all groups); sex did not alter the effect of genotype on obesity. Fat-free mass was affected by genotype (P < 0.0001) and sex (P < 0.0001), with Mc4r−/− mice having significantly more fat-free mass than wild-type and Lepob/Lepob mice (#P < 0.01), while male mice had greater fat-free mass irrespective of genotype. □, fat mass; formula image, fat-free mass. B: When expressed per animal, TEE was increased by obesity (effect of genotype, *P < 0.0001 vs. wild type; effect of sex, P = 0.27). C: Normalization of TEE by body weight or lean mass yielding different results. TEE expressed per gram of fat-free mass is significantly increased relative to control mice. ■, wild-type B6; ▨, B6. Mc4r−/−; □, B6. Lepob/Lep ob.

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