Evidence map›Paper›PMID 36701279›Full record

ArticlePLoS computational biology2023

Injury-related cell death and proteoglycan loss in articular cartilage: Numerical model combining necrosis, reactive oxygen species, and inflammatory cytokines.

Joonas P Kosonen, Atte S A Eskelinen, Gustavo A Orozco, Petteri Nieminen, Donald D Anderson, Alan J Grodzinsky, Rami K Korhonen, Petri Tanska

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Loss of collagen content is localized near cartilage lesions on the day of injurious loading and intensified on day 12.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2025
    Article
  12. Article
  13. Review
  14. (Chemical) Roles of HOCl in Rheumatic Diseases.Antioxidants (Basel, Switzerland) · 2024
    Review
  15. Review
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joonas P KosonenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0001-6063-6914
Atte S A EskelinenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Gustavo A OrozcoDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Petteri NieminenInstitute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Donald D AndersonDepartments of Orthopedics & Rehabilitation and Biomedical Engineering, University of Iowa, Iowa City, Iowa, United States of America.ORCID 0000-0002-1640-6107
Alan J GrodzinskyDepartments of Biological Engineering, Electrical Engineering and Computer Science, and Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Rami K KorhonenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Petri TanskaDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cartilage, ArticularOsteoarthritisApoptosisCytokinesHumansInterleukin-1NecrosisProteoglycansQuality of LifeReactive Oxygen SpeciesCytokinesInterleukin-1ProteoglycansReactive Oxygen Species

Identifiers

PMID36701279
PMCPMC9879441

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.