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Publication
A big-data approach to understanding metabolic rate and response to obesity in
laboratory mice.
Authors Corrigan JK, Ramachandran D, He Y, Palmer CJ, Jurczak MJ, Chen R, Li B,
Friedline RH, Kim JK, Ramsey JJ, Lantier L, McGuinness OP, Banks AS
Submitted By Submitted Externally on 5/7/2020
Status Published
Journal eLife
Year 2020
Date Published 5/1/2020
Volume : Pages 9 : Not Specified
PubMed Reference 32356724
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.





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