Evidence map›Paper›PMID 30348953›Full record

ArticleScientific reports2018

A novel mechanobiological model can predict how physiologically relevant dynamic loading causes proteoglycan loss in mechanically injured articular cartilage.

Gustavo A Orozco, Petri Tanska, Cristina Florea, Alan J Grodzinsky, Rami K Korhonen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 72 citations in OpenAlex.

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  11. Loss of collagen content is localized near cartilage lesions on the day of injurious loading and intensified on day 12.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
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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 2 countries.

Gustavo A OrozcoDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland. gustavo.orozco@uef.fi.
Petri TanskaDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.ORCID http://orcid.org/0000-0002-9684-6902
Cristina FloreaDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Alan J GrodzinskyDepartments of Biological Engineering, Electrical Engineering and Computer Science and Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Rami K KorhonenDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
University of Eastern Finland · FIMassachusetts Institute of Technology · US

Funding

Cartilage-Bone-Synovium MPS: Musculoskeletal Disease Biology in SpaceUH3TR002186 · NCATS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GRODZINSKY, ALAN J. · 2019 to 2020
$1.5M
Cartilage-Bone-Synovium MPS: Musculoskeletal Disease Biology in SpaceUG3TR002186 · NCATS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CIRIT, MURAT, GRODZINSKY, ALAN J. · 2017 to 2018
$1.3M
NCATS NIH HHS UG3 TR002186NCATS NIH HHS UH3 TR002186
6 · The paper itself

Abstract

Cartilage provides low-friction properties and plays an essential role in diarthrodial joints. A hydrated ground substance composed mainly of proteoglycans (PGs) and a fibrillar collagen network are the main constituents of cartilage. Unfortunately, traumatic joint loading can destroy this complex structure and produce lesions in tissue, leading later to changes in tissue composition and, ultimately, to post-traumatic osteoarthritis (PTOA). Consequently, the fixed charge density (FCD) of PGs may decrease near the lesion. However, the underlying mechanisms leading to these tissue changes are unknown. Here, knee cartilage disks from bovine calves were injuriously compressed, followed by a physiologically relevant dynamic compression for twelve days. FCD content at different follow-up time points was assessed using digital densitometry. A novel cartilage degeneration model was developed by implementing deviatoric and maximum shear strain, as well as fluid velocity controlled algorithms to simulate the FCD loss as a function of time. Predicted loss of FCD was quite uniform around the cartilage lesions when the degeneration algorithm was driven by the fluid velocity, while the deviatoric and shear strain driven mechanisms exhibited slightly discontinuous FCD loss around cracks. Our degeneration algorithm predictions fitted well with the FCD content measured from the experiments. The developed model could subsequently be applied for prediction of FCD depletion around different cartilage lesions and for suggesting optimal rehabilitation protocols.

Indexed as

Stress, MechanicalAnimalsBiophysicsCartilage, ArticularCattleModels, BiologicalProteoglycansTime FactorsProteoglycans

Identifiers

PMID30348953
PMCPMC6197240
OpenAlexW2896072682

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.