Evidence map›Paper›PMID 42515850›Full record

ArticleAnnals of neurology2026

Blood Biomarkers of Alzheimer's Disease and Patterns of Structural Brain Changes in the Community.

Martina Valletta, Davide Liborio Vetrano, Erika J Laukka, Grégoria Kalpouzos, Javier Oltra, Debora Rizzuto, Marco Canevelli, Claudia Fredolini, Chengxuan Qiu, Bengt Winblad and 2 more

Abstract read
In one paragraph

Article in Annals of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Martina VallettaAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-0139-8287
Davide Liborio VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Erika J LaukkaAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Grégoria KalpouzosAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Javier OltraAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Debora RizzutoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Marco CanevelliAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Claudia FredoliniAffinity Proteomics Stockholm, Science for Life Laboratory, Department of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Royal Institute of Technology (KTH), Solna, Sweden.
Chengxuan QiuAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Bengt WinbladDivision of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Solna, Sweden.
Laura FratiglioniAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Giulia GrandeAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6312-3815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to investigate the associations between Alzheimer's disease (AD)-related blood biomarkers and changes in brain volumes and cerebrovascular burden in community-dwelling older adults.

methodsWe included 361 dementia-free participants with a Mini-Mental State Examination (MMSE) score ≥ 27 and without prior cerebrovascular events from a Swedish population-based study. Blood phosphorylated-tau217 (p-tau217), neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were measured at baseline. Brain magnetic resonance imaging (MRI) was performed at baseline and after 3 and/or 6 years. Linear mixed models were used to examine associations between AD-related blood biomarkers and changes in volumes of total brain tissue (TBTV), lateral ventricles, hippocampus, amygdala, and white matter hyperintensities (WMHs).

resultsDuring the follow-up, higher p-tau217 was associated with faster volume loss in the hippocampus (β*year = -0.047, 95% confidence interval [CI] = -0.077 to -0.018) and in the amygdala (β*year = -0.064, 95% CI = -0.105 to -0.022). Elevated GFAP was linked to faster TBTV decline (β*year = -0.040, 95% CI = -0.059 to -0.021), ventricular enlargement (β*year = 0.028, 95% CI = 0.013 to 0.042), and hippocampal shrinkage (β*year = -0.038, 95% CI = -0.064 to -0.013). Participants with higher NfL showed steeper TBTV decline, ventricular enlargement, hippocampal and amygdala shrinkage, and faster WMH accumulation. Results remained largely consistent after excluding participants with mild cognitive impairment at baseline.

interpretationIn cognitively unimpaired older adults, elevated blood p-tau217 was linked to faster shrinkage in AD-specific brain regions, whereas NfL and GFAP were associated with more widespread atrophy, with NfL also associated with accelerated WMH accumulation. These findings suggest that AD-related blood biomarkers may capture different dementia-related structural brain changes already at early stages. ANN NEUROL 2026;100:987-997.

Indexed as

Alzheimer DiseaseBrainGlial Fibrillary Acidic ProteinNeurofilament Proteinstau ProteinsAgedAged, 80 and overBiomarkersFemaleHippocampusHumansIndependent LivingMagnetic Resonance ImagingMaleSwedenBiomarkersGFAP protein, humanGlial Fibrillary Acidic Proteinneurofilament protein LNeurofilament Proteinstau Proteins

Identifiers

PMID42515850
PMCPMC13688069

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.