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Background IgG N-glycosylation regulates immune effector functions and inflammation, but disease-specific patterns in primary Sjögren’s disease (SjD), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) are insufficiently defined, particularly in SjD. Objectives To identify serum IgG N-glycan biomarkers that differentiate SjD, RA, and SLE and reflect disease activity in SjD. Design A clinical case-control study. Methods Serum IgG N-glycans from 88 SjD patients, 102 RA patients, 86 SLE patients and 91 healthy controls were profiled using ultra-performance liquid chromatography. Discriminative glycans were selected through machine learning-based feature selection and evaluated for their diagnostic performance using cross-validated logistic regression and receiver operating characteristic (ROC) analysis. Results All three diseases exhibited decreased galactosylation and increased bisecting N-acetylglucosamine (GlcNAc). SjD showed the lowest sialylation (19.92%) and the highest bisecting GlcNAc levels (19.36%). Shared features included elevated GP1 (FA1) and reduced GP9 (FA2[3]G1). Compared with RA, SjD was characterized by elevated GP3 (A2B, adjusted odds ratio [AOR] 4.27), GP8 (FA2[6]G1, AOR 3.53) and reduced GP23 (FA2G2S2, AOR 0.07). Elevated GP11 (FA2[3]BG1, AOR 11.99) distinguished SjD from SLE. These glycans outperformed conventional autoantibodies in ROC analysis. In SjD, higher disease activity was associated with reduced galactosylation, with GP5 (M5) positively (AOR 1.71) and GP14 (FA2G2) inversely (AOR 0.43) associated with activity. These glycans showed stronger correlations with disease activity than erythrocyte sedimentation rate or serum IgG levels (GP5: r = 0.462; GP14: r = −0.432), and the combined glycan model achieved an AUC of 0.758. Conclusions Distinct IgG N-glycan signatures differentiate SjD, RA, and SLE despite their shared clinical and immunologic characteristics and are associated with disease activity in SjD. These findings provide insights into IgG N-glycosylation in these autoimmune diseases and may inform future research into their potential utility as non-invasive biomarkers, particularly in SjD.
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Chen et al. (2026) studied this question.
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