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Interlamellar matrix governs human annulus ...
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Document type :
Article dans une revue scientifique: Article original
DOI :
10.1038/s41598-020-74107-8
PMID :
33168862
Permalink :
http://hdl.handle.net/20.500.12210/75019
Title :
Interlamellar matrix governs human annulus fibrosus multiaxial behavior
Author(s) :
Kandil, Karim [Auteur]
Zairi, Fahmi [Auteur] refId
Laboratoire Génie Civil et géo-Environnement (LGCgE) - ULR 4515
Messager, Tanguy [Auteur] refId
Unité de Mécanique de Lille (UML) - ULR 7512
Zairi, Fahed [Auteur]
Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
Journal title :
Scientific Reports
Abbreviated title :
Sci Rep
Volume number :
10
Pages :
19292
Publication date :
2020-11-09
ISSN :
2045-2322
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Establishing accurate structure-property relationships for intervertebral disc annulus fibrosus tissue is a fundamental task for a reliable computer simulation of the human spine but needs excessive theoretical-numerical ...
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Establishing accurate structure-property relationships for intervertebral disc annulus fibrosus tissue is a fundamental task for a reliable computer simulation of the human spine but needs excessive theoretical-numerical-experimental works. The difficulty emanates from multiaxiality and anisotropy of the tissue response along with regional dependency of a complex hierarchic structure interacting with the surrounding environment. We present a new and simple hybrid microstructure-based experimental/modeling strategy allowing adaptation of animal disc model to human one. The trans-species strategy requires solely the basic knowledge of the uniaxial circumferential response of two different animal disc regions to predict the multiaxial response of any human disc region. This work demonstrates for the first time the determining role of the interlamellar matrix connecting the fibers-reinforced lamellae in the disc multiaxial response. Our approach shows encouraging multiaxial predictive capabilities making it a promising tool for human spine long-term prediction.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CNRS
Centrale Lille
IMT Lille Douai
INSERM
Institut Catholique Lille
Univ. Artois
Université de Lille
Collections :
  • Laboratoire Génie Civil et géo-Environnement (LGCgE) - ULR 4515
  • Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM) - U1192
  • Unité de Mécanique de Lille (UML) - ULR 7512
Submission date :
2022-06-15T13:57:59Z
Université de Lille

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