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Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo.

Authors :
Akingbesote ND
Leitner BP
Jovin DG
Desrouleaux R
Owusu D
Zhu W
Li Z
Pollak MN
Perry RJ
Source :
ELife [Elife] 2023 May 23; Vol. 12. Date of Electronic Publication: 2023 May 23.
Publication Year :
2023

Abstract

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.<br />Competing Interests: NA, BL, DJ, RD, DO, WZ, ZL, MP, RP No competing interests declared<br /> (© 2023, Akingbesote et al.)

Details

Language :
English
ISSN :
2050-084X
Volume :
12
Database :
MEDLINE
Journal :
ELife
Publication Type :
Academic Journal
Accession number :
37219930
Full Text :
https://doi.org/10.7554/eLife.78335