BACKGROUND: Blood biomarkers with prognostic accuracy for Alzheimer's disease (AD) are crucial for selecting at-risk individuals for interventions. Altered protein N-glycosylation has been implicated in several pathogenic pathways in AD and could be an early AD biomarker. METHODS: We developed a mass spectrometry-based method to simultaneously quantify 62 blood N-glycan structures in individuals with biological or clinical AD and matched controls. We analysed N-glycan levels in a Swedish discovery cohort (n = 40) and validated our results in a Norwegian cohort (n = 60). Individuals were grouped according to N-glycan levels using unsupervised hierarchical clustering. Difference in disease progression between groups were modelled using linear mixed-effects models. FINDINGS: A subgroup of individuals exhibited low blood N-glycosylation (32.4% of Swedish cohort, 37.9% of Norwegian cohort). In the Swedish cohort, low N-glycosylation was associated with AD and cognitive decline. In the Norwegian cohort, low blood N-glycosylation showed no correlation with amyloid/tau, but importantly, strongly predicted future cognitive decline. In total, fourteen N-glycan structures were significantly less abundant in the low N-glycosylation group compared to the rest of the individuals in both cohorts. INTERPRETATION: Reduced blood N-glycan levels predict cognitive decline independent of amyloid or tau status. Blood N-glycome profiling could be used to identify individuals at risk for AD dementia. FUNDING: Stiftelsen för Gamla Tjänarinnor, Stockholm County Council-ALF, JPND, PMI-AD, Medical Diagnostics Karolinska, Helse-Nord, Gun och Bertil Stohnes stiftelse, Demensförbundet, Stiftelsen Dementia, Margaretha af Ugglas' foundation, Vinnova, the private initiative "Innovative ways to fight Alzheimer's disease-Leif Lundblad Family and others".
Blood N-glycomics reveals individuals at risk for cognitive decline and Alzheimer's disease.
血液N-糖组学揭示了认知能力下降和阿尔茨海默病的高危人群
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作者:Zhou Robin Ziyue, Gaunitz Stefan, Kirsebom Bjørn-Eivind, Lundin Britt, Hellström Marie, Jejcic Alenka, Sköldunger Anders, Wimo Anders, Winblad Bengt, Fladby Tormod, Schedin-Weiss Sophia, Tjernberg Lars O
| 期刊: | EBioMedicine | 影响因子: | 10.800 |
| 时间: | 2025 | 起止号: | 2025 Mar;113:105598 |
| doi: | 10.1016/j.ebiom.2025.105598 | 研究方向: | 神经科学 |
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