Research Papers: Gerotarget (Focus on Aging):
The effects of graded levels of calorie restriction: VIII. Impact of short term calorie and protein restriction on basal metabolic rate in the C57BL/6 mouse
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Sharon E. Mitchell1, ZhanHui Tang1, Celine Kerbois1, Camille Delville1, Davina Derous1, Cara L. Green1, Yingchun Wang2, Jackie J.D. Han3, Luonan Chen4, Alex Douglas1, David Lusseau1, Daniel E.L. Promislow5,6 and John R. Speakman1,2
1 Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UK
2 State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
3 Key Laboratory of Computational Biology, Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
4 Key Laboratory of Systems Biology, Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
5 Department of Pathology, University of Washington, Seattle, Washington, USA
6 Department of Biology, University of Washington, Seattle, Washington, USA
John R. Speakman, email:
Keywords: metabolic rate, dietary restriction, protein restriction, calorie restriction, metabolic suppression, Gerotarget
Received: October 22, 2016 Accepted: December 26, 2016 Published: February 11, 2017
Under calorie restriction (CR) animals need to lower energy demands. Whether this involves a reduction in cellular metabolism is an issue of contention. We exposed C57BL/6 mice to graded CR for 3 months, measured BMR and dissected out 20 body compartments. From a separate age-matched group (n=57), we built 7 predictive models for BMR. Unadjusted BMR declined with severity of restriction. Comparison of measured and predicted BMR from the simple models suggested suppression occurred. The extent of ‘suppression’ was greater with increased CR severity. However, when models based on individual organ sizes as predictors were used, the discrepancy between the prediction and the observed BMR disappeared. This suggested ‘metabolic suppression’ was an artefact of not having a detailed enough model to predict the expected changes in metabolism. Our data have wide implications because they indicate that inferred ‘metabolic’ impacts of genetic and other manipulations may reflect effects on organ morphology.
Sharon E. Mitchell
Cara L. Green
Jackie J.D. Han
Daniel E.L. Promislow
John R. Speakman
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