Dysregulated NUB1 and Neddylation Enhances Rheumatoid Arthritis Fibroblast‐Like Synoviocyte Inflammatory Responses

Abstract

ObjectiveFibroblast‐like synoviocytes (FLS) contribute to the pathogenesis of rheumatoid arthritis (RA), in part due to activation of the proinflammatory transcription factor NF‐κB. Neddylation is modulated by the negative regulator of ubiquitin‐like protein (NUB) 1. We determined whether NUB1 and neddylation are aberrant in the models with RA FLS, thereby contributing to their aggressive phenotype.MethodsModels with RA or osteoarthritis (OA) FLS were obtained from arthroplasty synovia. Real‐time quantitative polymerase chain reaction and Western blot analysis assessed gene and protein expression, respectively. NUB1 was overexpressed using an expression vector. NF‐κB activation was assessed by stimulating FLS with interleukin (IL)‐1β. Neddylation inhibitor (MLN4924) and proteasome inhibitor were used in migration and gene expression assays. MLN4924 was used in the model with K/BxN serum‐transfer arthritis.ResultsEnhanced H3K27ac and H3K27me3 peaks were observed in the NUB1 promoter in the OA FLS compared with the RA FLS. NUB1 was constitutively expressed by FLS, but induction by IL‐1β was significantly greater in the OA FLS. The ratio of neddylated cullin (CUL) 1 to nonneddylated CUL1 was lower in the OA FLS than the RA FLS. NUB1 overexpression decreased NF‐κB nuclear translocation and IL‐6 messenger RNA (mRNA) in IL‐1β–stimulated the RA FLS. MLN4924 decreased CUL1 neddylation, NF‐κB nuclear translocation, and IL‐6 mRNA in IL‐1β–stimulated the RA FLS. MLN4924 significantly decreased arthritis severity in the model with K/BxN serum‐transfer arthritis.ConclusionCUL1 neddylation and NUB1 induction is dysregulated in the models with RA, which increases FLS activation. Inhibition of neddylation is an effective therapy in an animal model of arthritis. These data suggest that the neddylation system contributes to the pathogenesis of RA and that regulation of neddylation could be a novel therapeutic approach.image