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Updated: Oct 26, 2025

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model
07:32

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model

Published on: May 6, 2020

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Meta-Analyses of Multiple Gene Expression Profiles to Screen Hub Genes Related to Osteoarthritis

Xianyang Zhu1, Wen Guo1

  • 1Department of Orthopedics, Taizhou People's Hospital, Taizhou, China.

Public Health Genomics
|August 2, 2021
PubMed
Abstract

Insights

This study identified key genes like GSK3B, CDC42, AKT1, FZD2, and GUSB involved in osteoarthritis (OA) progression. These genes represent promising therapeutic targets for developing new OA treatments.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Osteoarthritis (OA) is a degenerative joint disease with complex molecular mechanisms.
  • Identifying crucial genes and pathways is essential for understanding OA pathogenesis and developing targeted therapies.

Approach:

  • Utilized meta-analysis of four Gene Expression Omnibus (GEO) datasets to identify differentially expressed genes (DEGs) in OA.
  • Applied Weighted Gene Co-expression Network Analysis (WGCNA) to uncover OA-related gene modules.
  • Constructed a protein-protein interaction (PPI) network to identify hub genes.
  • Integrated data from the Comparative Toxicogenomics Database (CTD) for pathway enrichment analysis.

Key Points:

  • Identified 1,136 DEGs across four OA datasets.
  • WGCNA revealed three significant OA-related modules comprising 370 genes.
  • A PPI network highlighted 10 hub genes, including AKT1, CDC42, and GSK3B.
  • Pathway analysis identified five key pathways: Lysosome, Pathways in cancer, Wnt signaling pathway, ECM-receptor interaction, and Focal adhesion.

Conclusions:

  • GSK3B, CDC42, AKT1, FZD2, and GUSB were identified as potential key genes driving OA progression.
  • These genes and associated pathways represent promising therapeutic targets for osteoarthritis.
  • The study provides a comprehensive molecular framework for understanding OA and developing novel interventions.
Keywords:
Differentially expressed genesHub geneMeta-analysisOsteoarthritisProtein-protein interaction network

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