ArticleArthritis research & therapy2025
Profiling of IgG N-glycosylation for axial spondyloarthritis and other rheumatic diseases.
Article in Arthritis research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- O-glycosylation in Cancer: Emerging Paradigms and Prospects for Precision Oncology.International journal of biological sciences · 2026Review
- Association between immunoglobulin G N-glycosylation, inflammatory factors, and ankylosing spondylitis: A case-control study.Clinical rheumatology · 2025Article
- IgG N-glycosylation contributes to different severities of insulin resistance: implications for 3P medical approaches.The EPMA journal · 2025Article
- IgG subclass-specific N-glycosylation differentiates HRCT subtypes in idiopathic inflammatory myopathies-associated ILD.Frontiers in immunology · 2025Article
- From glycosylation to inflammation: insights from NMR-Derived GlycA and GlycB.Journal of circulating biomarkersReview
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Abstract
backgroundAxial spondyloarthritis (axSpA) is an inflammatory rheumatic disease with challenges in diagnosis and disease activity assessment. While alterations in immunoglobulin G (IgG) N-glycosylation have been observed in varied rheumatic diseases, those in axSpA remains unclear. This study aims to explore the role of IgG N-glycan profiles in diagnosis and disease activity of axSpA.
methodsA clinical case-control study was conducted involving patients with axSpA (n = 138), systemic lupus erythematosus (n = 102), rheumatoid arthritis (n = 106), osteoarthritis (n = 33), gout (n = 41) and healthy controls (n = 117). Ultra-performance liquid chromatography was employed to analyze the composition of the serum IgG N-glycome. Associations between IgG N-glycans and axSpA were investigated and compared to healthy controls and other four rheumatic diseases. The relationship among IgG N-glycosylation, disease activity, and inflammatory cytokines of axSpA patients were analyzed. The receiver operating characteristic (ROC) curve analysis was applied to evaluate the diagnostic/classification performance of IgG N-glycans to distinguish axSpA and its disease activity.
resultsIn patients with axSpA, the abundances of IgG galactosylation and sialylation were significantly lower than healthy controls, while the abundance of fucosylation was higher than the other four studied rheumatic diseases. Additionally, two asialylated IgG N-glycans (FA2 and FA2 [3]G1) were associated with axSpA, with adjusted odds ratios (AORs) of 5.62 (95% CI: 3.41-9.24) and 0.33 (95% CI: 0.22-0.50), respectively. Notably, decreased FA2 [3]G1 emerged as a characteristic IgG N-glycan associated with all five studied rheumatic diseases, while decreased FA2BG2S2 was a unique IgG N-glycan differentiating axSpA from the other four rheumatic diseases. Furthermore, FA2 displayed positive association with disease activity indicators (ASDAS-CRP, SPARCC-SIJ and SPARCC-spine) in axSpA. IgG N-glycans, particularly FA2 [3]G1, FA2BG2S2 and FA2, demonstrated canonical correlation with inflammatory cytokines, including interleukin-23 and tumor necrosis factor α, in axSpA (r = 0.519, P = 0.017).
conclusionsSpecific IgG N-glycans hold potential as novel biomarkers to enhance diagnosis and disease activity assessment in axSpA management.
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