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A proteomics study of rheumatoid arthritis patients on etanercept identifies putative biomarkers associated with clinical outcome measures

Lookup NU author(s): Professor John IsaacsORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© The Author(s) 2023. Objectives: Biologic DMARDs (bDMARDs) are widely used in patients with RA, but response to bDMARDs is heterogeneous. The objective of this work was to identify pretreatment proteomic biomarkers associated with RA clinical outcome measures in patients starting bDMARDs. Methods: Sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH-MS) was used to generate spectral maps of sera from patients with RA before and after 3 months of treatment with the bDMARD etanercept. Protein levels were regressed against RA clinical outcome measures, i.e. 28-joint DAS (DAS28) and its subcomponents and DAS28 <2.6 (i.e. remission). The proteins with the strongest evidence for association were analysed in an independent, replication dataset. Finally, subnetwork analysis was carried out using the Disease Module Detection algorithm and biological plausibility of identified proteins was assessed by enrichment analysis. Results: A total of 180 patients with RA were included in the discovery dataset and 58 in the validation dataset from a UK-based prospective multicentre study. Ten individual proteins were found to be significantly associated with RA clinical outcome measures. The association of T-complex protein 1 subunit g with DAS28 remission was replicated in an independent cohort. Subnetwork analysis of the 10 proteins from the regression analysis identified the ontological theme, with the strongest associations being with acute phase and acute inflammatory responses. Conclusion: This longitudinal study of 180 patients with RA commencing etanercept has identified several putative protein biomarkers of treatment response to this drug, one of which was replicated in an independent cohort.


Publication metadata

Author(s): Ling SF, Yap CF, Nair N, Bluett J, Morgan AW, Isaacs JD, Wilson AG, Hyrich KL, Barton A, Plant D

Publication type: Article

Publication status: Published

Journal: Rheumatology

Year: 2024

Volume: 63

Issue: 4

Pages: 1015-1021

Print publication date: 01/04/2024

Online publication date: 30/06/2023

Acceptance date: 15/06/2023

Date deposited: 17/04/2024

ISSN (print): 1462-0324

ISSN (electronic): 1462-0332

Publisher: Oxford University Press

URL: https://doi.org/10.1093/rheumatology/kead321

DOI: 10.1093/rheumatology/kead321

Data Access Statement: Data are available upon request to the corresponding author.

PubMed id: 37389432


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Funding

Funder referenceFunder name
21754
22072
NIHR Manchester Biomedical Research Centre
NIHR Newcastle Biomedical Research Centre for Ageing and Long-Term Conditions and the Research into Inflammatory Arthritis Centre
Versus Arthritis

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