{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chau TH"],"funding":["Korea Basic Science Institute","Mizutani Foundation for Glycoscience","Macquarie University","Cancer Institute NSW","Royal Adelaide Hospital Research Fund","Australian Research Council"],"pagination":["101470"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12794580"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_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 (Le<sup>x</sup>)-type N-glycans are elevated in nonsurvivors relative to survivors at ICU admission, a finding recapitulated by glycoproteomics. Among the 58 other Le<sup>x</sup>-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 Le<sup>x</sup> 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-Le<sup>x</sup> 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."],"journal":["Molecular & cellular proteomics : MCP"],"pubmed_title":["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."],"pmcid":["PMC12794580"],"funding_grant_id":["250004","2017152","ECF181259","FT210100455","C523400","20224231"],"pubmed_authors":["Traini M","Kawahara R","Torpy DJ","Chernykh A","Hwang H","Thaysen-Andersen M","Meyer EJ","Fehring J","Chatterjee S","Chau TH","Caulfield L"],"additional_accession":[]},"is_claimable":false,"name":"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.","description":"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 (Le<sup>x</sup>)-type N-glycans are elevated in nonsurvivors relative to survivors at ICU admission, a finding recapitulated by glycoproteomics. Among the 58 other Le<sup>x</sup>-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 Le<sup>x</sup> 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-Le<sup>x</sup> 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.","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-07-04T03:19:20.173Z","creation":"2026-07-04T03:12:12.649Z"},"accession":"S-EPMC12794580","cross_references":{"pubmed":["41260501"],"doi":["10.1016/j.mcpro.2025.101470"]}}