Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Internal Medicine – Endocrinology, Yale University, New Haven, United States
Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Internal Medicine – Endocrinology, Yale University, New Haven, United States
Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Internal Medicine – Endocrinology, Yale University, New Haven, United States
Reina Desrouleaux
Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Comparative Medicine, Yale University, New Haven, United States
Dennis Owusu
Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Internal Medicine – Endocrinology, Yale University, New Haven, United States
Wanling Zhu
Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Internal Medicine – Endocrinology, Yale University, New Haven, United States
Zongyu Li
Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Internal Medicine – Endocrinology, Yale University, New Haven, United States
Michael N Pollak
Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Department of Oncology, McGill University, Montreal, Canada
Department of Cellular & Molecular Physiology, Yale University, New Haven, United States; Department of Internal Medicine – Endocrinology, Yale University, New Haven, United States
Metabolic scaling, the inverse correlation of metabolic rates to body mass, has been appreciated for more than 80 years. Studies of metabolic scaling have largely been restricted to mathematical modeling of caloric intake and oxygen consumption, and mostly rely on computational modeling. The possibility that other metabolic processes scale with body size has not been comprehensively studied. To address this gap in knowledge, we employed a systems approach including transcriptomics, proteomics, and measurement of in vitro and in vivo metabolic fluxes. Gene expression in livers of five species spanning a 30,000-fold range in mass revealed differential expression according to body mass of genes related to cytosolic and mitochondrial metabolic processes, and to detoxication of oxidative damage. To determine whether flux through key metabolic pathways is ordered inversely to body size, we applied stable isotope tracer methodology to study multiple cellular compartments, tissues, and species. Comparing C57BL/6 J mice with Sprague-Dawley rats, we demonstrate that while ordering of metabolic fluxes is not observed in in vitro cell-autonomous settings, it is present in liver slices and in vivo. Together, these data reveal that metabolic scaling extends beyond oxygen consumption to other aspects of metabolism, and is regulated at the level of gene and protein expression, enzyme activity, and substrate supply.