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Growth of Cartilage and Bone Tissue

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Chondrocytes form a temporary cartilaginous model by dividing and secreting a thick gel-like extracellular matrix. Once the chondrocytes undergo programmed cell death, osteoblasts enter the site of the cartilaginous model. The process of replacing the temporary cartilaginous model with bone in an ordered manner is called endochondral ossification. In endochondral ossification, not all of the cartilage is replaced by bone tissue. Some cartilage that performs a protective and supportive function...

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Related Experiment Video

Updated: Aug 2, 2025

Development and Evaluation of a Rat Model of Full-Thickness Cartilage Defects

Development and Evaluation of a Rat Model of Full-Thickness Cartilage Defects

Published on: May 19, 2023

Computational Modelling for Managing Pathways to Cartilage Failure.

Saeed Miramini¹, David W Smith², Bruce S Gardiner³

¹Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia.

Advances in Experimental Medicine and Biology

|April 13, 2023

Summary

This summary is machine-generated.

Computational models combined with structural reliability analysis can predict cartilage failure. This approach views cartilage degeneration as material failure, enabling better understanding and mitigation of joint pathologies.

Keywords:

Biomechanics Cartilage Computational modelling Injury

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Last Updated: Aug 2, 2025

Development and Evaluation of a Rat Model of Full-Thickness Cartilage Defects

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Real-time Visualization and Analysis of Chondrocyte Injury Due to Mechanical Loading in Fully Intact Murine Cartilage Explants

Real-time Visualization and Analysis of Chondrocyte Injury Due to Mechanical Loading in Fully Intact Murine Cartilage Explants

Published on: January 7, 2019

Area of Science:

Biomaterials Science
Biomechanics
Tissue Engineering

Background:

Articular cartilage perception evolved from inert to a dynamic tissue with complex regulatory processes.
Biomechanics views cartilage as a key example of mechanobiology in action, integrating physics, chemistry, material science, and biology.

Purpose of the Study:

To integrate computational models of cartilage with structural reliability analysis.
To understand, predict, and mitigate the risk of cartilage failure or pathology by viewing degeneration as material failure.

Main Methods:

Utilizing causal, deterministic models within a probabilistic framework of structural reliability analysis.
Analyzing the interplay between cartilage consolidation and lubrication to assess wear rates in compromised tissue.

Main Results:

Demonstrated that computational models can be combined with structural reliability analysis for cartilage.
Illustrated a 'pathways to failure' approach to analyze increased wear rates associated with cartilage defects or meniscectomy.

Conclusions:

Structural reliability analysis offers a framework to understand cartilage failure as a material failure.
This integrated approach can predict and potentially mitigate cartilage pathology by analyzing failure pathways.