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
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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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