能量代谢
计算生物学
新陈代谢
化学
细胞生物学
生物化学
生物
内分泌学
作者
Matthias H. Tschöp,John R. Speakman,Jonathan R. S. Arch,Johan Auwerx,Jens C. Brüning,Lawrence Chan,Robert H. Eckel,Robert V. Farese,José E. Galgani,Catherine Hambly,Mark A. Herman,Tamas L. Horváth,Barbara B. Kahn,Sara C. Kozma,Eleftheria Maratos–Flier,Timo D. Müller,Heike Münzberg,Paul T. Pfluger,Leona Plum,Marc L. Reitman
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2011-12-28
卷期号:9 (1): 57-63
被引量:765
摘要
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).
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