A guide to analysis of mouse energy metabolism.
We present a consolidated view of the complexity and challenges of designing studies for measurement of energy metabolism in mouse models, including a practical guide to the assessment of energy expenditure, energy intake and body composition and statistical analysis thereof. We hope this guide will facilitate comparisons across studies and minimize spurious interpretations of data. We recommend that division of energy expenditure data by either body weight or lean body weight and that presentation of group effects as histograms should be replaced by plotting individual data and analyzing both group and body-composition effects using analysis of covariance (ANCOVA).
Institute for Diabetes and Obesity, Helmholz Centre Munich, Department of Medicine, Technical University of Munich, Munich, Germany.
Matthias H
MH
Tschöp
John R
JR
Speakman
Jonathan R S
JR
Arch
Johan
J
Auwerx
Jens C
JC
Brüning
Lawrence
L
Chan
Robert H
RH
Eckel
Robert V
RV
Farese
Jose E
JE
Galgani
Catherine
C
Hambly
Mark A
MA
Herman
Tamas L
TL
Horvath
Barbara B
BB
Kahn
Sara C
SC
Kozma
Eleftheria
E
Maratos-Flier
Timo D
TD
Müller
Heike
H
Münzberg
Paul T
PT
Pfluger
Leona
L
Plum
Marc L
ML
Reitman
Kamal
K
Rahmouni
Gerald I
GI
Shulman
George
G
Thomas
C Ronald
CR
Kahn
Eric
E
Ravussin
D000818:Animals; D001823:Body Composition; D002149:Energy Intake; D004734:Energy Metabolism; D004777:Environment; D006799:Housing, Animal; D051379:Mice / Q000502:physiology*; D008817:Mice, Mutant Strains / Q000235:genetics; D009765:Obesity / Q000209:etiology; D010641:Phenotype