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Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats

High capacity and low capacity running rats, HCR and LCR respectively, have been bred to represent two extremes of running endurance and have recently demonstrated disparities in fuel usage during transient aerobic exercise. HCR rats can maintain fatty acid (FA) utilization throughout the course of...

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Autores principales: Moxley, Michael A., Vinnakota, Kalyan C., Bazil, Jason N., Qi, Nathan R., Beard, Daniel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841818/
https://www.ncbi.nlm.nih.gov/pubmed/29474500
http://dx.doi.org/10.1371/journal.pcbi.1005982
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author Moxley, Michael A.
Vinnakota, Kalyan C.
Bazil, Jason N.
Qi, Nathan R.
Beard, Daniel A.
author_facet Moxley, Michael A.
Vinnakota, Kalyan C.
Bazil, Jason N.
Qi, Nathan R.
Beard, Daniel A.
author_sort Moxley, Michael A.
collection PubMed
description High capacity and low capacity running rats, HCR and LCR respectively, have been bred to represent two extremes of running endurance and have recently demonstrated disparities in fuel usage during transient aerobic exercise. HCR rats can maintain fatty acid (FA) utilization throughout the course of transient aerobic exercise whereas LCR rats rely predominantly on glucose utilization. We hypothesized that the difference between HCR and LCR fuel utilization could be explained by a difference in mitochondrial density. To test this hypothesis and to investigate mechanisms of fuel selection, we used a constraint-based kinetic analysis of whole-body metabolism to analyze transient exercise data from these rats. Our model analysis used a thermodynamically constrained kinetic framework that accounts for glycolysis, the TCA cycle, and mitochondrial FA transport and oxidation. The model can effectively match the observed relative rates of oxidation of glucose versus FA, as a function of ATP demand. In searching for the minimal differences required to explain metabolic function in HCR versus LCR rats, it was determined that the whole-body metabolic phenotype of LCR, compared to the HCR, could be explained by a ~50% reduction in total mitochondrial activity with an additional 5-fold reduction in mitochondrial FA transport activity. Finally, we postulate that over sustained periods of exercise that LCR can partly overcome the initial deficit in FA catabolic activity by upregulating FA transport and/or oxidation processes.
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spelling pubmed-58418182018-03-23 Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats Moxley, Michael A. Vinnakota, Kalyan C. Bazil, Jason N. Qi, Nathan R. Beard, Daniel A. PLoS Comput Biol Research Article High capacity and low capacity running rats, HCR and LCR respectively, have been bred to represent two extremes of running endurance and have recently demonstrated disparities in fuel usage during transient aerobic exercise. HCR rats can maintain fatty acid (FA) utilization throughout the course of transient aerobic exercise whereas LCR rats rely predominantly on glucose utilization. We hypothesized that the difference between HCR and LCR fuel utilization could be explained by a difference in mitochondrial density. To test this hypothesis and to investigate mechanisms of fuel selection, we used a constraint-based kinetic analysis of whole-body metabolism to analyze transient exercise data from these rats. Our model analysis used a thermodynamically constrained kinetic framework that accounts for glycolysis, the TCA cycle, and mitochondrial FA transport and oxidation. The model can effectively match the observed relative rates of oxidation of glucose versus FA, as a function of ATP demand. In searching for the minimal differences required to explain metabolic function in HCR versus LCR rats, it was determined that the whole-body metabolic phenotype of LCR, compared to the HCR, could be explained by a ~50% reduction in total mitochondrial activity with an additional 5-fold reduction in mitochondrial FA transport activity. Finally, we postulate that over sustained periods of exercise that LCR can partly overcome the initial deficit in FA catabolic activity by upregulating FA transport and/or oxidation processes. Public Library of Science 2018-02-23 /pmc/articles/PMC5841818/ /pubmed/29474500 http://dx.doi.org/10.1371/journal.pcbi.1005982 Text en © 2018 Moxley et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Moxley, Michael A.
Vinnakota, Kalyan C.
Bazil, Jason N.
Qi, Nathan R.
Beard, Daniel A.
Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats
title Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats
title_full Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats
title_fullStr Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats
title_full_unstemmed Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats
title_short Systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats
title_sort systems-level computational modeling demonstrates fuel selection switching in high capacity running and low capacity running rats
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841818/
https://www.ncbi.nlm.nih.gov/pubmed/29474500
http://dx.doi.org/10.1371/journal.pcbi.1005982
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