Journal article
Injury-related cell death and proteoglycan loss in articular cartilage: Numerical model combining necrosis, reactive oxygen species, and inflammatory cytokines
PLoS computational biology, Vol.19(1), e1010337
01/2023
DOI: 10.1371/journal.pcbi.1010337
PMCID: PMC9879441
PMID: 36701279
Abstract
Osteoarthritis (OA) is a common musculoskeletal disease that leads to deterioration of articular cartilage, joint pain, and decreased quality of life. When OA develops after a joint injury, it is designated as post-traumatic OA (PTOA). The etiology of PTOA remains poorly understood, but it is known that proteoglycan (PG) loss, cell dysfunction, and cell death in cartilage are among the first signs of the disease. These processes, influenced by biomechanical and inflammatory stimuli, disturb the normal cell-regulated balance between tissue synthesis and degeneration. Previous computational mechanobiological models have not explicitly incorporated the cell-mediated degradation mechanisms triggered by an injury that eventually can lead to tissue-level compositional changes. Here, we developed a 2-D mechanobiological finite element model to predict necrosis, apoptosis following excessive production of reactive oxygen species (ROS), and inflammatory cytokine (interleukin-1)-driven apoptosis in cartilage explant. The resulting PG loss over 30 days was simulated. Biomechanically triggered PG degeneration, associated with cell necrosis, excessive ROS production, and cell apoptosis, was predicted to be localized near a lesion, while interleukin-1 diffusion-driven PG degeneration was manifested more globally. Interestingly, the model also showed proteolytic activity and PG biosynthesis closer to the levels of healthy tissue when pro-inflammatory cytokines were rapidly inhibited or cleared from the culture medium, leading to partial recovery of PG content. The numerical predictions of cell death and PG loss were supported by previous experimental findings. Furthermore, the simulated ROS and inflammation mechanisms had longer-lasting effects (over 3 days) on the PG content than localized necrosis. The mechanobiological model presented here may serve as a numerical tool for assessing early cartilage degeneration mechanisms and the efficacy of interventions to mitigate PTOA progression.
Details
- Title: Subtitle
- Injury-related cell death and proteoglycan loss in articular cartilage: Numerical model combining necrosis, reactive oxygen species, and inflammatory cytokines
- Creators
- Joonas P Kosonen - University of Eastern FinlandAtte S A Eskelinen - University of Eastern FinlandGustavo A Orozco - University of Eastern FinlandPetteri Nieminen - University of Eastern FinlandDonald D Anderson - University of IowaAlan J Grodzinsky - Massachusetts Institute of TechnologyRami K Korhonen - University of Eastern FinlandPetri Tanska - University of Eastern Finland
- Resource Type
- Journal article
- Publication Details
- PLoS computational biology, Vol.19(1), e1010337
- DOI
- 10.1371/journal.pcbi.1010337
- PMID
- 36701279
- PMCID
- PMC9879441
- NLM abbreviation
- PLoS Comput Biol
- ISSN
- 1553-7358
- eISSN
- 1553-7358
- Grant note
- name: The Doctoral Programme in Science, Technology and Computing (SCITECO), ; name: Strategic funding of the University of Eastern Finland; DOI: 10.13039/501100002341, name: Academy of Finland, award: 334773 – under the frame of ERA PerMed, 324529; name: Novo Nordisk Foundation (the Center for Mathematical Modeling of Knee Osteoarthritis, award: NNF21OC0065373; DOI: 10.13039/100008969, name: Alfred Kordelin Foundation, award: 190317; DOI: 10.13039/501100022768, name: Maire Lisko Foundation; name: Sigrid Juselius Foundation; DOI: 10.13039/501100017643, name: Saastamoinen Foundation; DOI: 10.13039/501100008413, name: Instrumentarium Science Foundation; DOI: 10.13039/501100001862, name: the Swedish Research Council, award: 2019-00953 - under the frame of Eramerped
- Language
- English
- Date published
- 01/2023
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Orthopedics and Rehabilitation; Industrial and Systems Engineering
- Record Identifier
- 9984363547002771
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