Serum N-glycans as independent predictors of the incidence of type 2 diabetes: a prospective investigation in the AEGIS cohort
The interaction between total serum N-glycome peaks 37 and 24 may constitute a promising predictive biomarker for type 2 diabetes improving the classical prediction tools.
Authors
- Arturo González‐Quintela (ORCID: https://orcid.org/0000-0002-6909-1807)
- Manuel M. Vicente (ORCID: https://orcid.org/0000-0002-2961-0801)
- Óscar Lado‐Baleato (ORCID: https://orcid.org/0000-0001-9592-4879)
- Radka Saldova (ORCID: https://orcid.org/0000-0001-5085-5080)
- Salomé S. Pinho (ORCID: https://orcid.org/0000-0002-3484-5162)
- Róisín O’Flaherty (ORCID: https://orcid.org/0000-0003-1941-4775)
- Francisco Gudé (ORCID: https://orcid.org/0000-0002-9681-1662)
- Manuela Alonso‐Sampedro (ORCID: https://orcid.org/0000-0002-0916-4672)
- Iago Carballo (ORCID: https://orcid.org/0000-0003-1854-173X)
Institutions
- University College Dublin (IE)
- National University of Ireland, Maynooth (IE)
- Universidade do Porto (PT)
- Universidade de Santiago de Compostela (ES)
- Medizinische Hochschule Hannover (DE)
- Complejo Hospitalario Universitario de Santiago (ES)
- Instituto de Investigación Sanitaria de Santiago (ES)
- National Institute for Bioprocessing Research and Training (IE)
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
Publication Details
- Journal
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1515/cclm-2025-0045
- Primary Topic
- Glycosylation and Glycoproteins Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00