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On the Relative Relevance of Subject-Specific Geometries and Degeneration-Specific Mechanical Properties for the Study of Cell Death in Human Intervertebral Disk Models

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2015
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Title
On the Relative Relevance of Subject-Specific Geometries and Degeneration-Specific Mechanical Properties for the Study of Cell Death in Human Intervertebral Disk Models
Published in
Frontiers in Bioengineering and Biotechnology, February 2015
DOI 10.3389/fbioe.2015.00005
Pubmed ID
Authors

Andrea Malandrino, José M. Pozo, Isaac Castro-Mateos, Alejandro F. Frangi, Marc M. van Rijsbergen, Keita Ito, Hans-Joachim Wilke, Tien Tuan Dao, Marie-Christine Ho Ba Tho, Jérôme Noailly

Abstract

Capturing patient- or condition-specific intervertebral disk (IVD) properties in finite element models is outmost important in order to explore how biomechanical and biophysical processes may interact in spine diseases. However, disk degenerative changes are often modeled through equations similar to those employed for healthy organs, which might not be valid. As for the simulated effects of degenerative changes, they likely depend on specific disk geometries. Accordingly, we explored the ability of continuum tissue models to simulate disk degenerative changes. We further used the results in order to assess the interplay between these simulated changes and particular IVD morphologies, in relation to disk cell nutrition, a potentially important factor in disk tissue regulation. A protocol to derive patient-specific computational models from clinical images was applied to different spine specimens. In vitro, IVD creep tests were used to optimize poro-hyperelastic input material parameters in these models, in function of the IVD degeneration grade. The use of condition-specific tissue model parameters in the specimen-specific geometrical models was validated against independent kinematic measurements in vitro. Then, models were coupled to a transport-cell viability model in order to assess the respective effects of tissue degeneration and disk geometry on cell viability. While classic disk poro-mechanical models failed in representing known degenerative changes, additional simulation of tissue damage allowed model validation and gave degeneration-dependent material properties related to osmotic pressure and water loss, and to increased fibrosis. Surprisingly, nutrition-induced cell death was independent of the grade-dependent material properties, but was favored by increased diffusion distances in large IVDs. Our results suggest that in situ geometrical screening of IVD morphology might help to anticipate particular mechanisms of disk degeneration.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 5 8%
United Kingdom 1 2%
Unknown 58 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 11 17%
Student > Doctoral Student 5 8%
Student > Master 5 8%
Professor 4 6%
Other 13 20%
Unknown 13 20%
Readers by discipline Count As %
Engineering 29 45%
Medicine and Dentistry 6 9%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 3 5%
Materials Science 2 3%
Other 3 5%
Unknown 18 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2015.
All research outputs
#18,401,956
of 22,793,427 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,386
of 6,524 outputs
Outputs of similar age
#260,902
of 357,821 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#33
of 45 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,524 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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