Evidence map›Paper›PMID 29474500›Full record

ArticlePLoS computational biology2018

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

Michael A Moxley, Kalyan C Vinnakota, Jason N Bazil, Nathan R Qi, Daniel A Beard

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Michael A MoxleyDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0002-6988-1964
Kalyan C VinnakotaDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-2185-2213
Jason N BazilDepartment of Physiology, Michigan State University, East Lansing, MI, United States of America.ORCID 0000-0001-6424-9938
Nathan R QiDepartment of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America.
Daniel A BeardDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0003-0974-2353
University of Michigan · USMichigan State University · US

Funding

Michigan Mouse Metabolic Phenotyping CenterU2CDK110768 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELIAS, CAROL FUZETI · 2016 to 2021
$6.2M
Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
Mechanisms of Metabolic Dysfunction in Type 2 DiabetesR01DK095210 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A, WISEMAN, ROBERT W · 2012 to 2016
$2.7M
Mechanistic Characterization of Calcium and ROS Induced Mitochondrial DysfunctionR00HL121160 · NHLBI · MICHIGAN STATE UNIVERSITY · PI BAZIL, JASON N · 2016 to 2018
$734k
NHLBI NIH HHS R00 HL121160NHLBI NIH HHS U01 HL122199NIDDK NIH HHS R01 DK095210NIDDK NIH HHS U2C DK110768NIH HHS R00-HL121160NIH HHS R01-DK095210
6 · The paper itself

Abstract

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.

Indexed as

Computer SimulationPhysical Conditioning, AnimalAdenosine TriphosphatasesAdenosine TriphosphateAlgorithmsAnimalsCarbon DioxideFatty AcidsGlucoseMitochondriaModels, StatisticalMuscle, SkeletalOxidation-ReductionOxygenProteomicsRatsAdenosine TriphosphatasesAdenosine TriphosphateCarbon DioxideFatty AcidsGlucoseOxygen

Identifiers

PMID29474500
PMCPMC5841818
OpenAlexW2788601032

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.