BACKGROUND: Ankylosing spondylitis (AS) is a chronic inflammatory arthritis involving primarily the sacroiliac joints and the axial skeleton that can lead to bone resorption and bone formation, ultimately resulting in ankylosis. However, our understanding of the genetic mechanisms of AS are far from being clear.
AIM: In this study, we identified the differentially expressed genes (DEGs) in AS samples compared with healthy control, and mapped these DEGs to the protein-protein interaction network.
MATERIALS AND METHODS: We applied a statistical approach of MCODE to cluster proteins in the network. Six functional modules were identified in our network.
CONCLUSIONS: Functional studies of these 6 modules suggest that the DEGs may play roles in both the inflammatory environment and bone and cartilage effects. We anticipate the results from this study will provide the groundwork for the understanding of AS pathogenesis.Free PDF Download
To cite this article
C. Zhang, L. Shen
Functional modules analysis based on protein-protein network analysis in ankylosing spondylitis
Eur Rev Med Pharmacol Sci
Vol. 16 - N. 13