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

June K. Corrigan, Deepti Ramachandran, Yuchen He, Colin J Palmer, Michael J Jurczak, Rui Chen, Bingshan Li, Randall H Friedline, Jason K Kim, Jon J Ramsey, Louise Lantier, Owen P McGuinness, , Alexander S. Banks (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

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 2,329 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.

Original languageEnglish
Article numbere53560
Number of pages28
JournaleLife
Volume9
DOIs
Publication statusPublished - 1 May 2020

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