Evidence map›Paper›PMID 28056047›Full record

ArticlePloS one2017

Combining Targeted Metabolomic Data with a Model of Glucose Metabolism: Toward Progress in Chondrocyte Mechanotransduction.

Daniel Salinas, Cody A Minor, Ross P Carlson, Carley N McCutchen, Brendan M Mumey, Ronald K June

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
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  6. Article
  7. Article
  8. Article
  9. Osteoarthritis and cartilage open · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Effect of biomechanical stress on endogenous antioxidant networks in bovine articular cartilage.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Article
  16. Systems approaches in osteoarthritis: Identifying routes to novel diagnostic and therapeutic strategies.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2017
    Article
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

6 authors at 2 institutions in 1 country.

Daniel SalinasComputer Science, Montana State University, Bozeman, MT United States of America.
Cody A MinorMathematics, Montana State University, Bozeman, MT United States of America.ORCID http://orcid.org/0000-0002-0259-7037
Ross P CarlsonChemical & Biological Engineering, Montana State University, Bozeman, MT United States of America.
Carley N McCutchenMechanical & Industrial Engineering, Montana State University, Bozeman, MT United States of America.
Brendan M MumeyComputer Science, Montana State University, Bozeman, MT United States of America.ORCID http://orcid.org/0000-0001-7151-2124
Ronald K JuneMechanical & Industrial Engineering, Montana State University, Bozeman, MT United States of America.ORCID http://orcid.org/0000-0003-0752-4109
Montana State University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis is a debilitating disease likely involving altered metabolism of the chondrocytes in articular cartilage. Chondrocytes can respond metabolically to mechanical loads via cellular mechanotransduction, and metabolic changes are significant because they produce the precursors to the tissue matrix necessary for cartilage health. However, a comprehensive understanding of how energy metabolism changes with loading remains elusive. To improve our understanding of chondrocyte mechanotransduction, we developed a computational model to calculate the rate of reactions (i.e. flux) across multiple components of central energy metabolism based on experimental data. We calculated average reaction flux profiles of central metabolism for SW1353 human chondrocytes subjected to dynamic compression for 30 minutes. The profiles were obtained solving a bounded variable linear least squares problem, representing the stoichiometry of human central energy metabolism. Compression synchronized chondrocyte energy metabolism. These data are consistent with dynamic compression inducing early time changes in central energy metabolism geared towards more active protein synthesis. Furthermore, this analysis demonstrates the utility of combining targeted metabolomic data with a computational model to enable rapid analysis of cellular energy utilization.

Indexed as

ChondrocytesComputational BiologyGlucoseHumansMechanotransduction, CellularMetabolomicsModels, TheoreticalGlucose

Identifiers

PMID28056047
PMCPMC5215894
OpenAlexW2570624998

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.