Associations of human femoral condyle cartilage structure and composition with viscoelastic and constituent-specific material properties at different stages of osteoarthritis |
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Author: | Ebrahimi, Mohammadhossein1,2; Turkiewicz, Aleksandra3; Finnilä, Mikko A.J.2; |
Organizations: |
1Department of Technical Physics, University of Eastern Finland, Kuopio, Finland 2Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland 3Faculty of Medicine, Department of Clinical Sciences Lund, Orthopaedics, Clinical Epidemiology Unit, Lund University, Lund, Sweden
4Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland
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Format: | article |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 5.1 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2023060252157 |
Language: | English |
Published: |
Elsevier,
2022
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Publish Date: | 2023-06-02 |
Description: |
AbstractThe relationships between structure and function in human knee femoral cartilage are not well-known at different stages of osteoarthritis. Thus, our aim was to characterize the depth-dependent composition and structure (proteoglycan content, collagen network organization and collagen content) of normal and osteoarthritic human femoral condyle cartilage (n = 47) and relate them to their viscoelastic and constituent-specific mechanical properties that are obtained through dynamic sinusoidal testing and fibril-reinforced poroelastic material modeling of stress-relaxation testing, respectively. We characterized the proteoglycan content using digital densitometry, collagen network organization (orientation angle and anisotropy) using polarized light microscopy and collagen content using Fourier transform infrared spectroscopy. In the superficial cartilage (0–10 % of thickness), the collagen network disorganization and proteoglycan loss were associated with the smaller initial fibril network modulus — a parameter representing the pretension of the collagen network. Furthermore, the proteoglycan loss was associated with the greater strain-dependent fibril network modulus — a measure of nonlinear mechanical behavior. The proteoglycan loss was also associated with greater cartilage viscosity at a low loading frequency (0.005 Hz), while the collagen network disorganization was associated with greater cartilage viscosity at a high loading frequency (1 Hz). Our results suggest that proteoglycan loss and collagen network disorganization reduce the pretension of the collagen network while proteoglycan degradation also increases the nonlinear mechanical behavior of the collagen network. Further, the results also highlight that proteoglycan loss and collagen disorganization increase the viscosity of femoral cartilage, but their contribution to increased viscosity occurs in completely different loading frequencies. see all
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Series: |
Journal of biomechanics |
ISSN: | 0021-9290 |
ISSN-E: | 1873-2380 |
ISSN-L: | 0021-9290 |
Volume: | 145 |
Article number: | 111390 |
DOI: | 10.1016/j.jbiomech.2022.111390 |
OADOI: | https://oadoi.org/10.1016/j.jbiomech.2022.111390 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
3126 Surgery, anesthesiology, intensive care, radiology 3111 Biomedicine 217 Medical engineering 318 Medical biotechnology |
Subjects: | |
Funding: |
This work was supported by the Academy of Finland (grants 324529 and 268378); strategic funding of the University of Eastern Finland; Maire Lisko Foundation; Finnish Cultural Foundation, North Savo Regional Fund (grant 65191841); Emil Aaltonen Foundation (grant 200016); Alfred Kordelin Foundation (grant 190111); and Sigrid Juse- lius Foundation. The study (MENIX biobank) and contributions by M Englund and A Turkiewicz are supported by the Swedish Research Council, The Swedish Rheumatology Association, ̈Osterlund Foundation and Governmental funding of clinical research within the national health services (ALF). |
Academy of Finland Grant Number: |
268378 |
Detailed Information: |
268378 (Academy of Finland Funding decision) |
Copyright information: |
© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
https://creativecommons.org/licenses/by/4.0/ |