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    Serum N-Glycans as Independent Predictors of Death: A Prospective Investigation in the AEGIS Cohort


    Carballo, Iago, Lado-Baleato, Óscar, Alonso-Sampedro, Manuela, O’Flaherty, Roisin, Saldova, Radka, Gude, Francisco and González-Quintela, Arturo (2025) Serum N-Glycans as Independent Predictors of Death: A Prospective Investigation in the AEGIS Cohort. Molecular & Cellular Proteomics, 24 (12). p. 101217. ISSN 15359476

    Abstract

    Total N-glycome in blood serum or plasma provides information about all serum/plasma protein enzymatic glycosylation, a tightly regulated cotranslational and post-translational modification. Total plasma/serum N-glycome has shown specific patterns (signatures) in patients with high-mortality pathologies, such as cancer and cardiovascular diseases; thus, we explored the capacity of total serum N-glycome to predict mortality in a general adult population. This prospective cohort study was performed in a municipality in Spain including a random sample of 1516 adults. Participants were profiled for total serum N-glycome at baseline. Serum enzymatic N-glycan release was performed on a robotic platform followed by hydrophilic interaction chromatography–ultraperformance liquid chromatography glycan separation. The computerized medical records were checked at a median follow-up of 7.52 years to collect the date and cause of all deaths. N-glycan groups from total serum were used to develop mortality prediction models. Total serum N-glycome peak (GP) 16, mainly composed of A2[3]BG1S[3]1, predisposed to all-cause mortality; GP 22, mainly composed of FA2G2S[6]1, protected from all-cause mortality. The balance between them predicted allcause mortality incidence over time (area under the curve [AUC], 0.810 [0.773–0.847]). Similar results were obtained for cancer mortality, with GPs 16, 17, 22, and 23 (AUC, 0.786 [0.728–0.843]); and for cardiovascular mortality, with GPs 7 and 9 (AUC, 0.747 [0.645–0.850]). Their predictive powers had an independent and additive effect on classical prediction factors. The balances between specific GPs are independent predictors of all cause, cancer, and cardiovascular mortality and could contribute significantly to improving prognostic tools.
    Item Type: Article
    Keywords: N-glycome; biomarkers; cancer; cardiovascular disease; death; glycomics; mortality;
    Academic Unit: Faculty of Science and Engineering > Chemistry
    Item ID: 21182
    Identification Number: 10.1016/j.mcpro.2025.101217
    Depositing User: Roisin O'Flaherty
    Date Deposited: 10 Feb 2026 16:26
    Journal or Publication Title: Molecular & Cellular Proteomics
    Publisher: Wiley
    Refereed: Yes
    Related URLs:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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