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Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo
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 possibi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205083/ https://www.ncbi.nlm.nih.gov/pubmed/37219930 http://dx.doi.org/10.7554/eLife.78335 |
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author | Akingbesote, Ngozi D Leitner, Brooks P Jovin, Daniel G Desrouleaux, Reina Owusu, Dennis Zhu, Wanling Li, Zongyu Pollak, Michael N Perry, Rachel J |
author_facet | Akingbesote, Ngozi D Leitner, Brooks P Jovin, Daniel G Desrouleaux, Reina Owusu, Dennis Zhu, Wanling Li, Zongyu Pollak, Michael N Perry, Rachel J |
author_sort | Akingbesote, Ngozi D |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10205083 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-102050832023-05-24 Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo Akingbesote, Ngozi D Leitner, Brooks P Jovin, Daniel G Desrouleaux, Reina Owusu, Dennis Zhu, Wanling Li, Zongyu Pollak, Michael N Perry, Rachel J eLife Biochemistry and Chemical Biology 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. eLife Sciences Publications, Ltd 2023-05-23 /pmc/articles/PMC10205083/ /pubmed/37219930 http://dx.doi.org/10.7554/eLife.78335 Text en © 2023, Akingbesote et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Biochemistry and Chemical Biology Akingbesote, Ngozi D Leitner, Brooks P Jovin, Daniel G Desrouleaux, Reina Owusu, Dennis Zhu, Wanling Li, Zongyu Pollak, Michael N Perry, Rachel J Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo |
title | Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo |
title_full | Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo |
title_fullStr | Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo |
title_full_unstemmed | Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo |
title_short | Gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo |
title_sort | gene and protein expression and metabolic flux analysis reveals metabolic scaling in liver ex vivo and in vivo |
topic | Biochemistry and Chemical Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205083/ https://www.ncbi.nlm.nih.gov/pubmed/37219930 http://dx.doi.org/10.7554/eLife.78335 |
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