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OP0004 (2024)
AGE-ASSOCIATED B-CELLS ARE EXPANDED IN EARLY RHEUMATOID ARTHRITIS LINKED TO ATHEROSCLEROSIS AND IMMUNE CIRCUITS: A POTENTIAL ROLE AS A BIOMARKER FOR RISK STRATIFICATION
Keywords: Comorbidities, Adaptive immunity, Atherosclerosis, Biomarkers, Cardiovascular diseases
D. Miranda-Prieto1,2, M. Alperi-López3,4, Á. I. Pérez-Álvarez5, S. Alonso-Castro3,4, A. Suárez1,2, J. Rodríguez-Carrio1,2
1University of Oviedo, Area of Immunology, Oviedo, Spain
2Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Area of Metabolism, Oviedo, Spain
3Hospital Universitario Central de Asturias, Department of Rheumatology, Oviedo, Spain
4Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Department of Metabolism, Oviedo, Spain
5Hospital Universitario Central de Asturias, Department of Neurology, Oviedo, Spain

Background: informing residual risk to improve cardiovascular risk stratification is a major unmet need in rheumatoid arthritis (RA). Autoimmune phenomena and immune dysregulation, including humoral responses, are thought to play a role in risk excess. However, exact mediators are unknown. Age-associated B cells (ABCs) have emerged as multi-faceted pro-inflammatory mediators, also in the atherosclerosis microenvironment. Despite being expanded in autoimmunity, their role is ill-defined.


Objectives: to evaluate ABCs levels in the earliest stages of inflammatory arthritis and their potential role as biomarkers of atherosclerosis.


Methods: ABCs (CD19+CD21-CD11c+) were quantified by flow cytometry in Peripheral Blood Mononuclear Cells (PBMCs) samples from 58 early RA patients (2010 EULAR/ACR classification criteria; 69% RF, 66% ACPA; DAS28 5.28±1.13), 11 individuals with clinical-suspect arthralgia (CSA) (EULAR definition; 54% RF, 45% ACPA) and 33 healthy controls (HC). All patients were untreated at recruitment. Atherosclerosis occurrence was measured by Doppler-ultrasound. Cardiometabolic-related proteins were evaluated using high-throughput targeted proteomics.


Results: ABCs frequency within the CD19+ compartment was increased in RA patients compared with HC (2.96±2.47 vs 1.56±1.36 %, p=0.013). Equivalent results were observed within the total PBMC pool (p<0.001). CSA individuals showed similar ABCs levels than RA (p=0.495). No associations with disease activity, symptom duration or RF/ACPA positivity were retrieved (all p>0.050). Higher ABCs counts at onset were linked to poor/moderate response to DMARDs (EULAR criteria) at 6 months compared to patients presenting a good response (p=0.022). ABCs frequency was positively correlated with serum levels of proinflammatory cytokines (IL6, IFNg and TNF, all p<0.050) in RA. Proteomic analyses revealed that ABCs were associated with 11 proteins (protein-protein interaction: p=3.3·10 -10 ) (Figure 1A) related to B-cell activation, T-cell-dependent B-cell activation and macrophages/foam cell activation (Figure 1B). ABCs numbers were associated with atherosclerosis occurrence (p=0.006) and correlated with the number of atheroma plaques (r=0.346, p=0.010) in RA patients, whereas no correlation between cIMT and ABCs was found (p=0.322). ABCs counts were associated with atherosclerosis occurrence in univariate models (OR [95% CI], p: 1.260 [1.051-1.510], p=0.012), and remained as independent predictors of atherosclerosis after adjusting for traditional risk factors (OR [95% CI], p: 1.284 [1.037-1.589], p=0.022). Moreover, adding ABCs levels to the mSCORE improved risk stratification over the mSCORE alone based on diagnostic/classification statistics and net reclassification improvement (Figure 1C).


Conclusion: ABCs expansion may be an early biomarker of atherosclerosis in arthritis, with incremental value in improving risk stratification over existing algorithms. ABCs may be a missing link between humoral responses and atherosclerosis in autoimmunity.


REFERENCES: NIL.


Acknowledgements: ISCIII (PI21/00054 and FI22/00148 grants).


Disclosure of Interests: None declared.


DOI: 10.1136/annrheumdis-2024-eular.841
Keywords: Comorbidities, Adaptive immunity, Atherosclerosis, Biomarkers, Cardiovascular diseases
Citation: , volume 83, supplement 1, year 2024, page 196
Session: Inflammaging and Cellular Senescence in Rheumatic and Musculoskeletal Diseases (Oral Abstract Presentations)