Evidence map›Paper›PMID 17448235›Full record

ArticleBiomedical engineering online2007

A computational model of skeletal muscle metabolism linking cellular adaptations induced by altered loading states to metabolic responses during exercise.

Ranjan K Dash, John A Dibella, Marco E Cabrera

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

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  11. NAD(+)/NADH and skeletal muscle mitochondrial adaptations to exercise.American journal of physiology. Endocrinology and metabolism · 2012
    Review
  12. Article
  13. Glycogenolysis in astrocytes supports blood-borne glucose channeling not glycogen-derived lactate shuttling to neurons: evidence from mathematical modeling.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2010
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  18. Models of muscle contraction and energetics.Drug discovery today. Disease models · 2008
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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

3 authors at 1 institution in 1 country.

Ranjan K DashDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA. rdash@mcw.edu
John A Dibella
Marco E Cabrera
Case Western Reserve University · US

Funding

CORE--SYSTEM MODELING INTEGRATIONP50GM066309 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI SAIDEL, GERALD M · 2002 to 2006
$11.4M
NIGMS NIH HHS GM-66309NIGMS NIH HHS P50 GM066309
6 · The paper itself

Abstract

backgroundThe alterations in skeletal muscle structure and function after prolonged periods of unloading are initiated by the chronic lack of mechanical stimulus of sufficient intensity, which is the result of a series of biochemical and metabolic interactions spanning from cellular to tissue/organ level. Reduced activation of skeletal muscle alters the gene expression of myosin heavy chain isoforms to meet the functional demands of reduced mechanical load, which results in muscle atrophy and reduced capacity to process fatty acids. In contrast, chronic loading results in the opposite pattern of adaptations.

methodsTo quantify interactions among cellular and skeletal muscle metabolic adaptations, and to predict metabolic responses to exercise after periods of altered loading states, we develop a computational model of skeletal muscle metabolism. The governing model equations - with parameters characterizing chronic loading/unloading states- were solved numerically to simulate metabolic responses to moderate intensity exercise (WR < or = 40% VO2 max).

resultsModel simulations showed that carbohydrate oxidation was 8.5% greater in chronically unloaded muscle compared with the loaded muscle (0.69 vs. 0.63 mmol/min), while fat oxidation was 7% higher in chronically loaded muscle (0.14 vs. 0.13 mmol/min), during exercise. Muscle oxygen uptake (VO2) and blood flow (Q) response times were 29% and 44% shorter in chronically loaded muscle (0.4 vs. 0.56 min for VO2 and 0.25 vs. 0.45 min for Q).

conclusionThe present model can be applied to test complex hypotheses during exercise involving the integration and control of metabolic processes at various organizational levels (cellular to tissue) in individuals who have undergone periods of chronic loading or unloading.

Indexed as

ExerciseMusculoskeletal Physiological PhenomenaComputer SimulationHumansKineticsMetabolismModels, BiologicalModels, StatisticalModels, TheoreticalMuscle, SkeletalMyosinsOxygenProtein IsoformsStress, MechanicalMyosinsOxygenProtein Isoforms

Identifiers

PMID17448235
PMCPMC1868741
OpenAlexW2111473646

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.