Blood biomarkers of Alzheimer’s disease and progression across different stages of cognitive decline in the community

Blood biomarkers of Alzheimer's disease (AD) are promising for dementia prediction, but their association with progression across intermediate stages of cognitive decline in the general population remains unclear. We followed 2148 dementia-free individuals from a Swedish population-based cohort for up to 16 years. Associations between baseline AD blood biomarkers and transitions between normal cognition, mild cognitive impairment (MCI), and dementia were examined. Lower amyloid-β42/40 ratio and higher phosphorylated-tau181 (p-tau181), p-tau217, total-tau, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were associated with faster progression from MCI to all-cause and AD dementia, with the strongest associations for NfL and p-tau217. Elevated NfL and GFAP were linked to reduced MCI reversion to normal cognition, whereas no biomarker was associated with MCI development from normal cognition. These findings show robust group-level associations and indicate that AD blood biomarkers may help stratify dementia risk at the MCI stage in the community.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-11-23
DOI
https://doi.org/10.1038/s41467-025-66728-2
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
1.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blood biomarkers of Alzheimer’s disease and progression across different stages of cognitive decline in the community

Caterina Gregorio, Laura Fratiglioni, Marco Canevelli, Sarah Wamala Andersson et al.
1 citations
Nature Communications
Dementia and Cognitive Impairment Research
1.47
article

Blood biomarkers of Alzheimer’s disease and progression across different stages of cognitive decline in the community

Caterina Gregorio, Laura Fratiglioni, Marco Canevelli, Sarah Wamala Andersson, Claudia Fredolini, Debora Rizzuto, Martina Valletta, Matilda Dale, Davide Liborio Vetrano, Bengt Winblad, Giulia Grande, Erika J. Laukka
article en
1 citations

Abstract

Blood biomarkers of Alzheimer's disease (AD) are promising for dementia prediction, but their association with progression across intermediate stages of cognitive decline in the general population remains unclear. We followed 2148 dementia-free individuals from a Swedish population-based cohort for up to 16 years. Associations between baseline AD blood biomarkers and transitions between normal cognition, mild cognitive impairment (MCI), and dementia were examined. Lower amyloid-β42/40 ratio and higher phosphorylated-tau181 (p-tau181), p-tau217, total-tau, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were associated with faster progression from MCI to all-cause and AD dementia, with the strongest associations for NfL and p-tau217. Elevated NfL and GFAP were linked to reduced MCI reversion to normal cognition, whereas no biomarker was associated with MCI development from normal cognition. These findings show robust group-level associations and indicate that AD blood biomarkers may help stratify dementia risk at the MCI stage in the community.

Nature CommunicationsVol. 16(1)
Karolinska University Hospital (SE), Stockholm University (SE), Istituto Superiore di Sanità (IT), Science for Life Laboratory (SE), Karolinska Institutet (SE), National Centre for Disease Prevention and Control (IT), Stockholm Gerontology Research Center Foundation (SE), Sapienza University of Rome (IT), KTH Royal Institute of Technology (SE)
Hjärnfonden, Karolinska Institutet, Vetenskapsrådet, Socialdepartementet, Science for Life Laboratory, Demensfonden
Openalex Percentile: Top 13%
Dementia and Cognitive Impairment Research
1.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.