A big-data approach to understanding metabolic rate and response to obesity in laboratory mice

Author:

Corrigan June K1ORCID,Ramachandran Deepti1ORCID,He Yuchen1,Palmer Colin J1,Jurczak Michael J2,Chen Rui3,Li Bingshan3,Friedline Randall H4,Kim Jason K45,Ramsey Jon J6,Lantier Louise3ORCID,McGuinness Owen P3ORCID,Banks Alexander S1ORCID,

Affiliation:

1. Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, United States

2. Division of Endocrinology, Yale University School of Medicine, New Haven, United States

3. Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, United States

4. Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States

5. Division of Endocrinology, Metabolism, and Diabetes, Department of Medicine, University of Massachusetts Medical School, Worcester, United States

6. Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, United States

Abstract

Maintaining a healthy body weight requires an exquisite balance between energy intake and energy expenditure. To understand the genetic and environmental factors that contribute to the regulation of body weight, an important first step is to establish the normal range of metabolic values and primary sources contributing to variability. Energy metabolism is measured by powerful and sensitive indirect calorimetry devices. Analysis of nearly 10,000 wild-type mice from two large-scale experiments revealed that the largest variation in energy expenditure is due to body composition, ambient temperature, and institutional site of experimentation. We also analyze variation in 2329 knockout strains and establish a reference for the magnitude of metabolic changes. Based on these findings, we provide suggestions for how best to design and conduct energy balance experiments in rodents. These recommendations will move us closer to the goal of a centralized physiological repository to foster transparency, rigor and reproducibility in metabolic physiology experimentation.

Funder

National Institutes of Health

Swiss National Science Foundation

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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