Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients

Stephanie Ling, Nisha Nair, Suzanne Verstappen, Anne Barton, Hans-Dieter Zucht, Petra Budde, Peter Schulz-Knappe, MATURA, Darren Plant

Research output: Contribution to journalArticlepeer-review

Abstract

Seropositivity for anti-citrullinated peptide antibodies (ACPA) in patients with rheumatoid arthritis (RA), a chronic autoimmune arthritis, is associated with worse long-term disease outcomes. ACPA is ubiquitously tested in RA patients, but other autoantibodies exist (in both citrullinated and non-citrullinated form) which may provide additional information on RA subtypes and/or treatment response. We used a multiplex bead-based assay of 376 autoantibodies to test associations between these autoantibodies and treatment response in RA patients. Clusters of patients with similar autoantibody expression were defined and cluster membership was associated with treatment response. Thirty-four autoantibodies were differentially expressed in RA patients compared to healthy controls; citrullinated vimentin was associated with treatment response. A selection of citrullinated autoantibodies were found to be associated with treatment response in a subanalysis of ACPA-negative RA patients. Finer ACPA specificities in ACPA-negative RA patients may be predictive of treatment response and could represent a rich vein of future study.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalThe Pharmacogenomics Journal
Early online date10 Dec 2019
DOIs
Publication statusPublished - 2020

Fingerprint

Dive into the research topics of 'Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients'. Together they form a unique fingerprint.

Cite this