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Updated: Jul 1, 2025

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Identification of early risk factors for anti-citrullinated-protein-antibody positive rheumatoid arthritis-a
Alexandra Cîrciumaru1,2, Yogan Kisten1, Monika Hansson1,3
1Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Objective:
Individuals positive for anti-cyclic-peptide-antibodies (anti-CCP) and musculoskeletal complaints (MSK-C) are at risk for developing rheumatoid arthritis (RA). In this study we aimed to investigate factors involved in arthritis progression.
Methods:
Anti-CCP2-positive individuals with MSK-C referred to a rheumatologist were recruited. Individuals lacked arthritis at clinical and ultrasound examination and were followed for ≥3 years or until clinical arthritis diagnosis. Blood samples from inclusion were analysed for nine ACPA reactivities (citrullinated α-1-enolase, fibrinogen, filaggrin, histone, vimentin and tenascin peptides); 92 inflammation-associated proteins; and HLA-shared epitope alleles. Cox regression was applied to the data to identify independent predictors in a model.
Results:
Two hundred and sixty-seven individuals were included with median follow-up of 49 months (interquartile range [IQR]: 22-60); 101 (38%) developed arthritis after a median of 14 months (IQR: 6-27). The analysis identified that presence of at least one ACPA reactivity (hazard ratio [HR] 8.0; 95% CI: 2.9, 22), ultrasound-detected tenosynovitis (HR 3.4; 95% CI: 2.0, 6.0), IL-6 levels (HR 1.5; 95% CI: 1.2, 1.8) and IL-15 receptor α (IL-15Rα) levels (HR 0.6; 95% CI: 0.4, 0.9) are significant independent predictors for arthritis progression in a prediction model (Harrell's C 0.76 [s.e. 0.02], AUC 0.82 [95% CI: 0.76, 0.89], cross-validated AUC 0.70 [95% CI: 0.56, 0.85]).
Conclusion:
We propose a high RA risk phase characterized by presence of ACPA reactivity, tenosynovitis, IL-6 and IL-15Rα and suggest that these factors need to be further investigated for their biological effects and clinical values, to identify individuals at particular low risk and high risk for arthritis progression.
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