Immunoglobulin G N-glycosylation predicts outcome in sepsis caused by pathogenic Gram-negative bacteria and Gram-positive bacteria: a nested case-control study - Takeaways - MDSpire

Immunoglobulin G N-glycosylation predicts outcome in sepsis caused by pathogenic Gram-negative bacteria and Gram-positive bacteria: a nested case-control study

  • By

  • Huachen Wang

  • Yan Zhang

  • Anlu Ouyang

  • Tao Wang

  • Hongda Hou

  • Haifeng Hou

  • Bing Chen

  • June 23, 2026

  • 0 min

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  • 1

    The study involved 180 septic patients, with 100 having Gram-negative infections and 80 with Gram-positive infections.

  • 2

    IgG N-glycosylation profiles were analyzed to identify differences between Gram-negative and Gram-positive sepsis.

  • 3

    A predictive model using glycan peaks and clinical markers achieved an AUC of 0.931 for distinguishing pathogen types.

  • 4

    Glycan FA2 was identified as a strong independent predictor of 90-day mortality, with an AUC of 0.792.

  • 5

    The integration of glycan data with the SOFA score improved predictive accuracy for mortality to an AUC of 0.820.

Original Source(s)

Immunoglobulin G N-glycosylation predicts outcome in sepsis caused by pathogenic Gram-negative bacteria and Gram-positive bacteria: a nested case-control study

  • by Huachen Wang, Yan Zhang, Anlu Ouyang, Tao Wang, Hongda Hou, Haifeng Hou, Bing Chen

  • June 23, 2026

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