Evidence map›Paper›PMID 41171940›Full record

ArticlePLoS computational biology2025

Time-dependent computational model of post-traumatic osteoarthritis to estimate how mechanoinflammatory mechanisms impact cartilage aggrecan content.

Atte S A Eskelinen, Joonas P Kosonen, Moustafa Hamada, Amir Esrafilian, Cristina Florea, Alan J Grodzinsky, Petri Tanska, Rami K Korhonen

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Atte S A EskelinenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0003-1516-3083
Joonas P KosonenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Moustafa HamadaDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID 0009-0006-4465-8631
Amir EsrafilianDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Cristina FloreaDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0001-7719-2600
Alan J GrodzinskyDepartments of Biological Engineering, Electrical Engineering and Computer Science, and Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Petri TanskaDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.
Rami K KorhonenDepartment of Technical Physics, University of Eastern Finland, Kuopio, Finland.

Funding

Doctoral Programme in Science, Technology and Computing (LUMETO) of the University of Eastern FinlandFinnish Cultural FoundationResearch Council of FinlandSigrid Jusélius Foundation
6 · The paper itself

Abstract

Degenerative musculoskeletal diseases like osteoarthritis can be initiated by joint injury. Injurious overloading-induced mechanical straining of articular cartilage and subsequent biological responses may trigger cartilage degradation. One early sign of degradation is loss of aggrecan content which is potentially accelerated near chondral lesions under physiological loading. Yet, the mechanoinflammatory mechanisms explaining time-dependent degradation in regions with disparate mechanical loading are unclear and challenging to assess with experiments alone. Here, we developed computational models unraveling potential mechanisms behind aggrecan content adaptation in fibril-reinforced porohyperelastic cartilage after single injurious overloading (50% compressive strain magnitude, 100%/s strain rate) followed by physiological cyclic loading (15% strain, 1 Hz, haversine waveform). The simulated adaptation of aggrecan content was compared spatially and at several time points to tissue composition found in Safranin-O-stained sections of young bovine knee cartilage subjected to the same loading protocols. Incorporating mechanical strain-driven cell damage and downstream proteolytic enzyme release, fluid flow-driven aggrecan depletion, and fluid pressure-stimulated regulation of aggrecan biosynthesis, the models agreed with experiments and exhibited 14%-points greater near-lesion aggrecan loss after 12 days of physiological loading compared to without loading. The near-lesion aggrecan loss was driven by fluid flow and proteolytic aggrecanase activity, while chondroprotective pro-anabolic responses (increased aggrecan biosynthesis) were prominent in the deeper tissue despite damaged superficial layer. This significant advancement in mechanistic understanding incorporated into cartilage adaptation model can help in development and guidance of personalized therapies, such as rehabilitation protocols and tissue-engineered constructs.

Indexed as

AggrecansCartilage, ArticularModels, BiologicalOsteoarthritisAnimalsBiomechanical PhenomenaCattleComputational BiologyComputer SimulationStress, MechanicalAggrecans

Identifiers

PMID41171940
PMCPMC12594405

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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.