Lymphocyte subset phenotyping for the prediction of progression to inflammatory arthritis in anti-citrullinated-peptide antibody-positive at-risk individuals

Anioke, I. orcid.org/0000-0001-7600-4823, Duquenne, L., Parmar, R. et al. (4 more authors) (2024) Lymphocyte subset phenotyping for the prediction of progression to inflammatory arthritis in anti-citrullinated-peptide antibody-positive at-risk individuals. Rheumatology, 63 (6). pp. 1720-1732. ISSN 1462-0324

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Item Type: Article
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© The Author(s) 2023. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: lymphocytes, RA, rheumatic diseases, immunological techniques, biomarkers, laboratory diagnosis, T cells
Dates:
  • Published: June 2024
  • Published (online): 7 September 2023
  • Accepted: 18 August 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds) > Inflammatory Arthritis (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Dentistry (Leeds) > Applied Health and Clinical Translation (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Institute of Rheumatology & Musculoskeletal Medicine (LIRMM) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 Jan 2025 13:24
Last Modified: 23 Jan 2025 13:24
Status: Published
Publisher: Oxford University Press
Identification Number: 10.1093/rheumatology/kead466
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