Unknown

Dataset Information

0

Serum AGP-1-Le<sup>x</sup> Glycoforms Report on Survivorship of Patients with Septic Shock Upon Admission to Intensive Care Unit.


ABSTRACT: Septic shock, the excessive immune response to pathogen infection, accounts globally for ∼20% of all deaths. Current methods to establish disease severity are unacceptably slow, unspecific, and insensitive, hindering timely and effective treatment. Aiming to establish easy-to-measure glyco-signatures that may identify the most critically unwell patients, we applied comparative glycomics and glycoproteomics to sera longitudinally collected from septic shock survivors (n = 29) and nonsurvivors (n = 8). Glycomics of all 134 serum samples (sampled daily until recovery/death) revealed significant N-glycome dynamics across both patient groups. Unsupervised clustering of the serum N-glycome measured upon intensive care unit (ICU) admission (day 1) indicated survivorship-specific glyco-signatures. We therefore employed machine learning to train a random forest model using the serum N-glycome data. The model accurately classified survivorship outcomes of 35 of 37 patients (accuracy 94.6%) and correctly predicted 29 of 29 survivors (specificity 100%) and six of eight nonsurvivors (sensitivity 75%). Interrogation of the serum N-glycome data revealed that Lewis x (Lex)-type N-glycans are elevated in nonsurvivors relative to survivors at ICU admission, a finding recapitulated by glycoproteomics. Among the 58 other Lex-containing serum glycoproteins that were strongly associated with acute phase response and stress pathways, alpha-1-acid-glycoprotein (AGP-1) was identified as a principal carrier of Lex glycoepitopes with a potential to stratify septic shock survivors from nonsurvivors (AUC 0.90). This study lays a foundation for risk stratification of septic shock patients by uncovering easy-to-assay AGP-1-Lex glycoforms that identify individuals experiencing poor survival outcomes already upon ICU admission, with the potential to translate to early individualized clinical care at the bedside.

SUBMITTER: Chau TH 

PROVIDER: S-EPMC12794580 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Serum AGP-1-Le&lt;sup&gt;x&lt;/sup&gt; Glycoforms Report on Survivorship of Patients with Septic Shock Upon Admission to Intensive Care Unit.

Chau The Huong TH   Chatterjee Sayantani S   Caulfield Liam L   Chernykh Anastasia A   Traini Mathew M   Fehring Joshua J   Hwang Heeyoun H   Kawahara Rebeca R   Meyer Emily J EJ   Torpy David J DJ   Thaysen-Andersen Morten M  

Molecular & cellular proteomics : MCP 20251117 1


Septic shock, the excessive immune response to pathogen infection, accounts globally for ∼20% of all deaths. Current methods to establish disease severity are unacceptably slow, unspecific, and insensitive, hindering timely and effective treatment. Aiming to establish easy-to-measure glyco-signatures that may identify the most critically unwell patients, we applied comparative glycomics and glycoproteomics to sera longitudinally collected from septic shock survivors (n = 29) and nonsurvivors (n  ...[more]

Similar Datasets

2025-11-17 | PXD065024 | Pride
| S-EPMC11672462 | biostudies-literature
| S-EPMC11555371 | biostudies-literature