Journal article
A guide to analysis of mouse energy metabolism
Nature methods, Vol.9(1), pp.57-63
01/2012
DOI: 10.1038/nmeth.1806
PMCID: PMC3654855
PMID: 22205519
Abstract
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).
Details
- Title: Subtitle
- A guide to analysis of mouse energy metabolism
- Creators
- Matthias H Tschöp - Institute for Diabetes and Obesity, Helmholz Centre Munich, Department of Medicine, Technical University of Munich, Munich, GermanyJohn R Speakman - Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UKJonathan R S Arch - Clore Laboratory, University of Buckingham, Buckingham, UKJohan Auwerx - Ecole Polytechnique Fédérale de Lausanne, Lausanne, SwitzerlandJens C Brüning - Max Planck Institute for Neurological Research, Cologne, GermanyLawrence Chan - Departments of Medicine and Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USARobert H Eckel - Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado–Denver School of Medicine, Aurora, Colorado, USARobert V Farese - Gladstone Institute of Cardiovascular Disease, University of California, San Francisco, California, USAJose E Galgani - Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, ChileCatherine Hambly - Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UKMark A Herman - Institute for Diabetes and Obesity, Helmholz Centre Munich, Department of Medicine, Technical University of Munich, Munich, GermanyTamas L Horvath - Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UKBarbara B Kahn - Institute for Diabetes and Obesity, Helmholz Centre Munich, Department of Medicine, Technical University of Munich, Munich, GermanySara C Kozma - Metabolic Diseases Institute, Department of Cancer and Cell Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USAEleftheria Maratos-Flier - Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USATimo D Müller - Institute for Diabetes and Obesity, Helmholz Centre Munich, Department of Medicine, Technical University of Munich, Munich, GermanyHeike Münzberg - Pennington Biomedical Research Center, Baton Rouge, Louisiana, USAPaul T Pfluger - Institute for Diabetes and Obesity, Helmholz Centre Munich, Department of Medicine, Technical University of Munich, Munich, GermanyLeona Plum - Naomi Berrie Diabetes Center and Department of Medicine, Columbia University, New York, New York, USAMarc L Reitman - Diabetes, Endocrinology and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health, Bethesda, Maryland, USAKamal Rahmouni - Center on Functional Genomics of Hypertension, Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USAGerald I Shulman - Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USAGeorge Thomas - Metabolic Diseases Institute, Department of Cancer and Cell Biology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USAC Ronald Kahn - Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USAEric Ravussin - Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
- Resource Type
- Journal article
- Publication Details
- Nature methods, Vol.9(1), pp.57-63
- DOI
- 10.1038/nmeth.1806
- PMID
- 22205519
- PMCID
- PMC3654855
- NLM abbreviation
- Nat Methods
- ISSN
- 1548-7091
- eISSN
- 1548-7105
- Grant note
- R01 HL051586 || HL / National Heart, Lung, and Blood Institute : NHLBI
- Language
- English
- Date published
- 01/2012
- Academic Unit
- Iowa Neuroscience Institute; Neuroscience and Pharmacology; Internal Medicine
- Record Identifier
- 9984040360602771
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