Multiscale In Silico Modeling of Cartilage Injuries
(2023) In Advances in Experimental Medicine and Biology 1402. p.45-56- Abstract
Injurious loading of the joint can be accompanied by articular cartilage damage and trigger inflammation. However, it is not well-known which mechanism controls further cartilage degradation, ultimately leading to post-traumatic osteoarthritis. For personalized prognostics, there should also be a method that can predict tissue alterations following joint and cartilage injury. This chapter gives an overview of experimental and computational methods to characterize and predict cartilage degradation following joint injury. Two mechanisms for cartilage degradation are proposed. In (1) biomechanically driven cartilage degradation, it is assumed that excessive levels of strain or stress of the fibrillar or non-fibrillar matrix lead to... (More)
Injurious loading of the joint can be accompanied by articular cartilage damage and trigger inflammation. However, it is not well-known which mechanism controls further cartilage degradation, ultimately leading to post-traumatic osteoarthritis. For personalized prognostics, there should also be a method that can predict tissue alterations following joint and cartilage injury. This chapter gives an overview of experimental and computational methods to characterize and predict cartilage degradation following joint injury. Two mechanisms for cartilage degradation are proposed. In (1) biomechanically driven cartilage degradation, it is assumed that excessive levels of strain or stress of the fibrillar or non-fibrillar matrix lead to proteoglycan loss or collagen damage and degradation. In (2) biochemically driven cartilage degradation, it is assumed that diffusion of inflammatory cytokines leads to degradation of the extracellular matrix. When implementing these two mechanisms in a computational in silico modeling workflow, supplemented by in vitro and in vivo experiments, it is shown that biomechanically driven cartilage degradation is concentrated on the damage environment, while inflammation via synovial fluid affects all free cartilage surfaces. It is also proposed how the presented in silico modeling methodology may be used in the future for personalized prognostics and treatment planning of patients with a joint injury.
(Less)
- author
- Korhonen, Rami K. ; Eskelinen, Atte S.A. ; Orozco, Gustavo A. LU ; Esrafilian, Amir ; Florea, Cristina and Tanska, Petri
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Cartilage, Degradation, Injury, Loading, Modeling
- host publication
- Advances in Experimental Medicine and Biology
- series title
- Advances in Experimental Medicine and Biology
- volume
- 1402
- pages
- 12 pages
- publisher
- Springer Gabler
- external identifiers
-
- scopus:85152595102
- pmid:37052845
- ISSN
- 0065-2598
- 2214-8019
- DOI
- 10.1007/978-3-031-25588-5_3
- language
- English
- LU publication?
- yes
- id
- 02cccbac-db1a-4744-902e-6eebfc483759
- date added to LUP
- 2023-07-19 15:27:51
- date last changed
- 2024-06-15 04:53:08
@inbook{02cccbac-db1a-4744-902e-6eebfc483759,
abstract = {{<p>Injurious loading of the joint can be accompanied by articular cartilage damage and trigger inflammation. However, it is not well-known which mechanism controls further cartilage degradation, ultimately leading to post-traumatic osteoarthritis. For personalized prognostics, there should also be a method that can predict tissue alterations following joint and cartilage injury. This chapter gives an overview of experimental and computational methods to characterize and predict cartilage degradation following joint injury. Two mechanisms for cartilage degradation are proposed. In (1) biomechanically driven cartilage degradation, it is assumed that excessive levels of strain or stress of the fibrillar or non-fibrillar matrix lead to proteoglycan loss or collagen damage and degradation. In (2) biochemically driven cartilage degradation, it is assumed that diffusion of inflammatory cytokines leads to degradation of the extracellular matrix. When implementing these two mechanisms in a computational in silico modeling workflow, supplemented by in vitro and in vivo experiments, it is shown that biomechanically driven cartilage degradation is concentrated on the damage environment, while inflammation via synovial fluid affects all free cartilage surfaces. It is also proposed how the presented in silico modeling methodology may be used in the future for personalized prognostics and treatment planning of patients with a joint injury.</p>}},
author = {{Korhonen, Rami K. and Eskelinen, Atte S.A. and Orozco, Gustavo A. and Esrafilian, Amir and Florea, Cristina and Tanska, Petri}},
booktitle = {{Advances in Experimental Medicine and Biology}},
issn = {{0065-2598}},
keywords = {{Cartilage; Degradation; Injury; Loading; Modeling}},
language = {{eng}},
pages = {{45--56}},
publisher = {{Springer Gabler}},
series = {{Advances in Experimental Medicine and Biology}},
title = {{Multiscale In Silico Modeling of Cartilage Injuries}},
url = {{http://dx.doi.org/10.1007/978-3-031-25588-5_3}},
doi = {{10.1007/978-3-031-25588-5_3}},
volume = {{1402}},
year = {{2023}},
}