Association between immunoglobulin G N-glycosylation, inflammatory factors, and ankylosing spondylitis: A case–control study
摘要
Alterations in immunoglobulin G (IgG) N-glycosylation have been implicated in various diseases, potentially including ankylosing spondylitis (AS). However, empirical evidence regarding the associations IgG N-glycosylation, inflammatory factors, and AS is sparse. We aimed to investigate these associations and evaluate the diagnostic performance of IgG glycosylation traits as a biomarker for AS.
MethodsThis case–control study recruited 142 AS patients and 142 controls. We used hydrophilic interaction liquid chromatography with ultra-performance liquid chromatography to detect the profiles of plasma IgG N-glycans. An enzyme-linked immunosorbent assay kit was used to measure the levels of serum inflammatory factors. We used multivariate logistic regression, canonical correlation analysis (CCA), and Lasso regression to analyze the data.
ResultsMultivariate logistic analysis identified 14 IgG N-glycan-derived traits significantly associated with AS. The changes were primarily characterized by decreased galactosylation, sialylation, bisgalactosylated fucosylation and sialated fucosylation, alongside increased core fucosylation, agalactosylated fucosylation, neutral fucosylation and sialated bisecting N-acetylglucosamine. Significant differences were observed between cases and controls in levels of C-reactive protein (CRP), IL-17, IL-22, IL-6, and TNF-α. CCA demonstrated a moderate correlation between IgG N-glycan-derived traits and inflammatory factors (r = 0.476). The combined diagnostic performance of derived traits and inflammatory factors yielded a higher area under the curve (AUC = 0.90) than either alone (AUCderived traits = 0.88, AUCinflammatory factors = 0.78).
ConclusionThe findings indicate that abnormal IgG N-glycosylation may play an important role in the development of AS through promoting the pro-inflammatory function. The derived traits combined with inflammatory factors may serve as potential biomarkers to distinguish AS.