Comment on: Kaiyala et al. (2010) Identification of Body Fat Mass as a Major Determinant of Metabolic Rate in Mice. Diabetes;59:1657–1666

  1. Paul S. MacLean
  1. From the Center for Human Nutrition, Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Denver, Denver, Colorado.
  1. Corresponding author: Paul S. MacLean, paul.maclean{at}ucdenver.edu.

The article by Kaiyala et al. (1) in the July issue of Diabetes represents a significant step forward for metabolic research. The emergence of regression as the gold standard for normalizing energy expenditure data in mice (2,3) will undoubtedly minimize a translational barrier between clinical and preclinical research communities. One concern when using this approach in other species has been whether fat mass should be included in the model (4,5) given that it may have a regulatory impact on metabolic rate. In most cases, the purpose for this normalization is to control for the variation in “metabolic mass,” or tissue that significantly contributes to the …

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