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Functional Classification of Joints

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...

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Related Experiment Video

Updated: Jun 25, 2025

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model

Published on: May 6, 2020

Network Analysis of Osteoarthritis Progression Using a Steiner Minimal Tree Algorithm.

Yujie Xie¹, Fanglin Shao¹, Yuxiu Ji¹

¹Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.

Journal of Inflammation Research

|May 23, 2024

Summary

This summary is machine-generated.

This study used network analysis to identify new genes linked to osteoarthritis (OA) progression. The findings highlight key biological molecules and pathways involved in OA development, aiding future research.

Keywords:

Steiner minimal tree bioinformatics network analysis osteoarthritis osteoarthritis genes

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Last Updated: Jun 25, 2025

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Published on: May 24, 2020

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Osteoarthritis (OA) is a degenerative joint disease with complex genetic underpinnings.
Identifying genes and pathways associated with OA progression is crucial for understanding its pathogenesis.

Purpose of the Study:

To conduct a comprehensive network analysis of genes associated with osteoarthritis (OA).
To identify novel biological molecules and pathways involved in OA progression using a Steiner minimal tree algorithm.

Main Methods:

Collected OA-related genes from MEDLINE publications.
Performed functional and pathway crosstalk analyses.
Applied a Steiner minimal tree algorithm to analyze molecular pathway networks.

Main Results:

Identified 177 genes significantly associated with OA, involved in skeletal development, inflammation, and extracellular matrix organization.
Network analysis included 151 of these genes, revealing interactions among 72 enriched pathways.
Eight specific genes (CLU, ENO1, SRRM1, UBC, HMGB1, NR3C1, NOTCH2NL, CBX5) showed increased expression in OA cartilage.

Conclusions:

The Steiner tree-based approach successfully identified novel biological molecules linked to OA genes.
This network analysis provides a deeper understanding of OA molecular mechanisms.