Background & Aims
Background
Osteoarthritis (OA) affects ~10million adults in the UK, damaging multiple inter-connecting joint tissues. Inflammation of the joint lining (synovium), which contains nerves that detect painful signals, involves substances which promote swelling and pain, and other substances which inhibit these processes to allow healing.
Our research is focused on a group of molecules (EETs) that reduce inflammation and pain. We have previously showed that people with lower levels of EETs and higher levels of the inactive metabolites (DHETs) have more severe OA pain and greater progression of OA joint damage. EETs are metabolised by the enzyme soluble epoxide hydrolase (sEH) into their corresponding DHETs.
Aims
To quantify sEH expression in the OA synovium and potential relationships with OA pain, and to optimise assays to measure sEH activity.
Methods
Ex vivo human synovial lysates were collected from post-mortem samples with no histological joint damage (non-OA), with histological evidence of OA joint damage but no record of OA pain (pm-OA), and total knee arthroplasty for painful OA (TKA-OA), n=10 per group. Levels of sEH expression in synovium were measured using a nanobody based immunoassay. sEH activity was measured in human synovial tissues using a commercially available fluorumetric substrate (EF7) and the selective inhibitor 1-Trifluoromethoxyphenyl-3-(1-propionylpiperidin-4-yl) urea (TPPU).
Results
We demonstrated higher levels of sEH protein in painful OA synovium, compared to non-painful controls, which will likely increase the catabolism of EETs in the knee joint in people with painful OA. Similarly, we report higher sEH activity in pm-OA and TKA-OA synovium, compared to non-OA controls, further supporting our hypothesis that sEH activity may play a key role in OA. Analysis of open access synovium single cell transcriptomic data identified the synovial subintimal and intimal fibroblasts as the highest sEH expressing cell type in OA synovium, and therefore likely to play an important role in the metabolism of EETs. Genetic association analysis of UK Biobank 450K WES data identified a novel genome-wide significant musculoskeletal pain associated variant of sEH K406R, chr8:27536830:A:G (GRCh38) and the most prevalent missense variant R287Q, chr8:27516348:G:A (rs751141), which we then confirmed to have functional activity in HEK293 cells. Designed catalytic mutations within the active site (D335N, Y466F, H524L) significantly reduced sEH activity but other mutants such as K406R, R103C and R287Q did not under our conditions.
Conclusions
Conclusion
These data demonstrate that expression of sEH is significantly higher in the synovium of people with painful OA, with fibroblasts expressing higher levels of sHE, compared to other cell types. Genetic polymorphisms of sEH identified through analysis of UK Biobank data, show associations with pain and have confirmed functional activity in HEK293 cells.
Acknowledgements
Parts of this research has been conducted using data from UK BioBank, a major biomedical database under project ID 64765. We would like to thank all participants of the UK BioBank cohort who have provided necessary genetic and phenotypic information.
References
N/A
Presenting Author
James Turnbull
Poster Authors
James Turnbull
PhD
University of Nottingham and Arthritis Research UK Pain Centre
Lead Author
Giada Pedretti
MSci
School of Life Sciences, University of Nottingham
Lead Author
Li Li
PhD
School of Life Sciences, University of Nottingham
Lead Author
Peter Gowler
PhD
School of Life Sciences, University of Nottingham
Lead Author
Ian Kerr
PhD
School of Life Sciences, University of Nottingham
Lead Author
Stephen Alexander
PhD
School of Life Sciences, University of Nottingham
Lead Author
David Walsh
MD
School of Medicine, University of Nottingham
Lead Author
Daniel McWilliams
PhD
School of Medicine, University of Nottingham
Lead Author
Achim Kless
PhD
Eli Lilly
Lead Author
Victoria Chapman
School of Life Sciences, University of Nottingham
Lead Author
Topics
- Joint Pain