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Lymphocyte subset phenotyping for the prediction of progression to inflammatory arthritis in anti-citrullinated-peptide antibody-positive at-risk individuals.
Anioke, Innocent; Duquenne, Laurence; Parmar, Rekha; Mankia, Kulveer; Shuweihdi, Farag; Emery, Paul; Ponchel, Frederique.
Afiliación
  • Anioke I; Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
  • Duquenne L; Department of Medical Laboratory Sciences, University of Nigeria, Nigeria.
  • Parmar R; Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
  • Mankia K; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Shuweihdi F; Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
  • Emery P; Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
  • Ponchel F; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Article en En | MEDLINE | ID: mdl-37676828
OBJECTIVES: Inflammatory arthritis (IA) is considered the last stage of a disease continuum, where features of systemic autoimmunity can appear years before clinical synovitis. Time to progression to IA varies considerably between at-risk individuals, therefore the identification of biomarkers predictive of progression is of major importance. We previously reported on the value of three CD4+T-cell subsets as biomarkers of progression. Here, we aim to establish the value of 18 lymphocyte subsets (LS) for predicting progression to IA. METHODS: Participants were recruited based on a new musculoskeletal complaint and being positive for anti-citrullinated-peptide Antibody. Progression (over 10 years) was defined as the development of clinical synovitis. LS analysis was performed for lymphocyte lineages, naïve/memory subsets, inflammation-related cells (IRC), and regulatory cells (Treg/B-reg). Modelling used Logistic/Cox regressions. RESULTS: Of 210 patients included, 93 (44%) progressed to IA, 41/93 (44%) within 12 months (rapid progressors). 5/18 LS were associated with progression (Treg/CD4-naïve/IRC (adjusted p < 0.0001), CD8 (p = 0.021), B-reg (p = 0.015)) and 3 trends (NK-cells/memory-B-cells/plasmablasts).Unsupervised hierarchical clustering using these 8 subsets segregated 3 clusters of patients, one cluster being enriched (63/109(58%)) and one poor (10/45(22%)) in progressors.Combining all clinical and LS variables, forward logistic regression predicted progression with accuracy=85.7% and AUC=0.911, selecting smoking/Rheumatoid-Factor/HLA-Shared-Epitope/Tender-Joint-Count-78 and Treg/CD4-naive/CD8/NK-cells/B-reg/plasmablasts.To predict rapid progression, a Cox regression was performed resulting in a model combining smoking/rheumatoid factor and IRC/CD4-naïve/Treg/NK-cells/CD8+T-cells (AUC=0.794). CONCLUSION: Overall, progression was predicted by specific LS, suggesting potential triggers for events leading to the development of IA, while rapid progression was associated with a different set of subsets.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2023 Tipo del documento: Article
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