Evidence map›Paper›PMID 27729233›Full record

ArticleActa biomaterialia2017

Tailoring hydrogel surface properties to modulate cellular response to shear loading.

Christoph Meinert, Karsten Schrobback, Peter A Levett, Cameron Lutton, Robert L Sah, Travis J Klein

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  6. Review
  7. A Novel Bioreactor System Capable of Simulating theTissue engineering. Part C, Methods · 2020
    Article
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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

6 authors at 2 institutions in 2 countries.

Christoph MeinertInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia. Electronic address: christoph.meinert@qut.edu.au.
Karsten SchrobbackInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia. Electronic address: k.schrobback@qut.edu.au.
Peter A LevettInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia. Electronic address: peter.levett@outlook.com.
Cameron LuttonInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia. Electronic address: cameronlutton@gmail.com.
Robert L SahDepartment of Bioengineering, University of California-San Diego, La Jolla, CA 92093, United States. Electronic address: rsah@ucsd.edu.
Travis J KleinInstitute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia. Electronic address: t2.klein@qut.edu.au.
Queensland University of Technology · AUUniversity of California, San Diego · US

Funding

TISSUE ACQUISITION, MORPHOLOGY, AND CELL CULTUREP01AG007996 · NIA · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI SAH, ROBERT L · 1989 to 2016
$26.0M
NIA NIH HHS P01 AG007996
6 · The paper itself

Abstract

Biological tissues at articulating surfaces, such as articular cartilage, typically have remarkable low-friction properties that limit tissue shear during movement. However, these frictional properties change with trauma, aging, and disease, resulting in an altered mechanical state within the tissues. Yet, it remains unclear how these surface changes affect the behaviour of embedded cells when the tissue is mechanically loaded. Here, we developed a cytocompatible, bilayered hydrogel system that permits control of surface frictional properties without affecting other bulk physicochemical characteristics such as compressive modulus, mass swelling ratio, and water content. This hydrogel system was applied to investigate the effect of variations in surface friction on the biological response of human articular chondrocytes to shear loading. Shear strain in these hydrogels during dynamic shear loading was significantly higher in high-friction hydrogels than in low-friction hydrogels. Chondrogenesis was promoted following dynamic shear stimulation in chondrocyte-encapsulated low-friction hydrogel constructs, whereas matrix synthesis was impaired in high-friction constructs, which instead exhibited increased catabolism. Our findings demonstrate that the surface friction of tissue-engineered cartilage may act as a potent regulator of cellular homeostasis by governing the magnitude of shear deformation during mechanical loading, suggesting a similar relationship may also exist for native articular cartilage. STATEMENT OF SIGNIFICANCE: Excessive mechanical loading is believed to be a major risk factor inducing pathogenesis of articular cartilage and other load-bearing tissues. Yet, the mechanisms leading to increased transmission of mechanical stimuli to cells embedded in the tissue remain largely unexplored. Here, we demonstrate that the tribological properties of loadbearing tissues regulate cellular behaviour by governing the magnitude of mechanical deformation arising from physiological tissue function. Based on these findings, we propose that changes to articular surface friction as they occur with trauma, aging, or disease, may initiate tissue pathology by increasing the magnitude of mechanical stress on embedded cells beyond a physiological level.

Indexed as

AgedAged, 80 and overBiomimetic MaterialsCells, CulturedChondrocytesChondrogenesisFemaleFrictionHumansHydrogelsMaleMechanotransduction, CellularMiddle AgedShear StrengthStress, MechanicalSurface PropertiesHydrogelsCartilageChondrocytesFrictionHydrogelsMechanical stimulation

Identifiers

PMID27729233
PMCPMC5385162
OpenAlexW2531859649

What OpenQuestion holds

Textmetadata
LicenceTDM
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.