Abstract
Abstract
Introduction
Synovitis impacts osteoarthritis symptomatology and progression. The transcription factors controlling synovial gene expression have not been described. This study analyses gene expression in synovium samples from 16 patients with osteoarthritis with 9 undergoing arthroscopic and 8 knee trauma surgery for non-arthritic pathologies.
Methodology
Intra-operative synovial biopsies were immersed in RNAlater at 4oC before storage at -80oC. Total RNA was extracted using RNAeasy. After purification, RT-PCR and quality assessment, cDNA was applied to Affymetrix Clariom D microarray gene chips. Bioinformatics analyses were performed. Linear models were prepared in limma with gender and BMI factors incorporated sequentially for each pathology comparison, generating 12 models of probes differentially expressed at FDR p<0.05 and Bayes number, B>0. Data analysis of differently expressed genes utilized Ingenuity Pathway Analysis and Cytoscape with Cluego and Cytohubba plug-ins.
Results
Amongst the 2084 genes with significantly differential expression (DEG), 135 had transcription regulator capabilities and 121 a nuclear location. IPA analysis of OATKR and arthroscopic tissue comparison DEG identified 12 nuclear transcription factors linked to 31 DEG whose encoded proteins located within cytoplasmic and cell membrane compartments. All 12 were significantly up-regulated and acting in pathways up-regulating transcription of DNA and RNA, cell survival and angiogenesis while down-regulating senescence and apoptosis. NFE2L2, integral to the TGF-beta signalling pathway, was identified as a bottleneck gene.
Conclusion
This analysis indicates the complexity of synovial gene expression regulation and offers target genes and pathways for evaluation during osteoarthritis pathogenesis.