Objective:

To investigate the differences in IgG N-glycosylation between Gram-negative and Gram-positive sepsis and to develop predictive models for both pathogen type and mortality.

Approach:

Key Findings:

• 12 glycan peaks were significantly decreased in Gram-negative sepsis compared to Gram-positive sepsis.
• Glycan FA2 was identified as a strong independent predictor for 90-day mortality (AUC = 0.792).
• A combined model of FA2 and SOFA score improved predictive accuracy (AUC = 0.820), enhancing risk stratification.

Interpretation:

IgG N-glycosylation profiles can distinguish between Gram-negative and Gram-positive sepsis and predict mortality outcomes based on the findings.

Limitations:

• The study was conducted at a single center, which may limit the generalizability of the findings.
• Sample size may not be sufficient to capture all variations in glycosylation patterns, potentially affecting the robustness of the results.

Conclusion:

IgG N-glycosylation serves as a biomarker for pathogen differentiation and mortality prediction in sepsis.

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