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  • Open Access

Microarray analysis reveals age-related differences in gene expression during the development of osteoarthritis in mice

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Genome Biology201011 (Suppl 1) :P29

  • Published:


  • Osteoarthritis
  • Microarray Analysis
  • Sham Surgery
  • Control Sham
  • Young Mouse


Osteoarthritis (OA) is the most common form of arthritis and is the type most closely associated with aging. Joint injury is also a key risk factor in OA development. The mechanisms by which aging contributes to the development of OA are not completely understood. This study uses microarray analysis to compare the differences in gene expression in the joint tissues of young and old mice in a model of post-traumatic OA.


Young (12 weeks of age) and old (12 months of age) mice underwent surgery to induce OA, or underwent a control sham surgery. Mice were sacrificed eight weeks after surgery for RNA extraction. Three arrays (pooled RNA from three mice per array) were run for each DMM and sham surgery from each age group. Microarray data were normalized and filtered on detection P-value and signal log ratio. Filtered genes were assigned to expression patterns, followed by functional, pathway and network analyses.


Significant expression differences in 541 genes were observed in either young or old mice post-surgery. Overall, old mice exhibited more up-regulation then young mice. Genes with no expression change in young but up-regulation in old mice (164 genes) included cell-cell adhesion genes, extracellular matrix genes, such as collagen, and carbohydrate-binding genes. Those genes down-regulated in young mice that showed no change (175 genes) or up-regulation (106 genes) in old mice are components of the sarcomere or involved in carbohydrate metabolism. Additionally, genes not changed in young but down-regulated in old mice (30 genes) are involved in the immune response, and genes up-regulated in young but not changed in old mice (19 genes) are involved in the regulation of apoptosis and redox processes.


These results elucidate various biological systems that should be the subject of future research to determine the mechanisms by which OA development is affected by age.

Authors’ Affiliations

Department of Computer Science, Wake Forest University, Winston-Salem, NC 27109, USA
Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27109, USA
Divison of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27109, USA
Department of Orthopedics, Wake Forest University School of Medicine, Winston-Salem, NC 27109, USA
Department of Physics, Wake Forest University, Winston- Salem, NC 27109, USA


© Olex et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd.