Evidence map›Paper›PMID 41573343›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Neurobiological correlates of longitudinal grey matter volume changes in preclinical Alzheimer's disease.

Wiesje Pelkmans, Raffaele Cacciaglia, Michalis Kassinopoulos, Oriol Grau-Rivera, Carolina Minguillón, José Luis Molinuevo, Gwendlyn Kollmorgen, Clara Quijano-Rubio, Rachel E Wilson, Erin M Jonaitis and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

17 authors.

Wiesje PelkmansBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.ORCID 0000-0002-6708-5374
Raffaele CacciagliaBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Michalis KassinopoulosBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Oriol Grau-RiveraBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Carolina MinguillónBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
José Luis MolinuevoBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Gwendlyn KollmorgenRoche Diagnostics GmbH, Penzberg, Germany.
Clara Quijano-RubioRoche Diagnostics International Ltd, Rotkreuz, Switzerland.
Rachel E WilsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Erin M JonaitisWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Rebecca E LanghoughWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Marc Suárez-CalvetBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.ORCID 0000-0002-2993-569X
Gemma SalvadóBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Juan Domingo GispertBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.ORCID 0000-0002-6155-0642

Funding

Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sanjay Asthana · 2019 to 2026
$34.5M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
Wisconsin Registry for Alzheimer's PreventionRF1AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C · 2018 to 2018
$18.8M
White matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR01AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2012 to 2023
$5.3M
Longitudinal Investigation of Cardiorespiratory Fitness and AD Biomarkers in an At-Risk CohortR01AG062167 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI OKONKWO, OZIOMA C · 2019 to 2023
$4.5M
White matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR56AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2017 to 2017
$759k
NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG037639NIA NIH HHS R01 AG062167NIA NIH HHS R56 AG037639NIA NIH HHS RF1 AG027161
6 · The paper itself

Abstract

Background: Structural brain changes during the earliest asymptomatic stages of Alzheimer's disease (AD) remain poorly understood. Previous research in preclinical AD shows heterogeneous findings, reporting both subtle neuronal loss and paradoxical increases in grey matter (GM) volume. This study applies an extensive cerebrospinal fluid (CSF) biomarker panel to better understand the biological processes underlying longitudinal GM changes in cognitively unimpaired (CU) adults, spanning the amyloid/tau (AT) continuum. Methods: We analysed data from 627 CU individuals from three longitudinal cohorts (ALFA+, Wisconsin ADRC, WRAP), with repeated MRI (3.5±0.9 years) and baseline CSF biomarkers from the NeuroToolKit panel (Roche Diagnostics). Using non-negative matrix factorization, we decomposed the CSF biomarker levels into six latent components, reflecting amyloid-β (Aβ) pathology, tau-related pathophysiology with synaptic injury, neuroaxonal injury, microglial reactivity, astrocytic reactivity, and cytokine signalling. We tested associations between component weights and voxel-wise longitudinal GM volume changes using single-component and a joint-all components model. Analyses were performed across the full sample and stratified by AT status. Associations with longitudinal cognitive performance (PACC) were assessed using linear mixed-effects models. Results: The Aβ pathology component was the strongest and most widespread predictor of longitudinal GM atrophy, predominantly in temporal and frontal regions, also when controlling for tau pathophysiology, neuroaxonal injury, or neuroinflammatory components. Higher Aβ pathology scores were also associated with cognitive decline. The component capturing tau-related pathophysiology and synaptic injury initially associated with GM loss but lost significance after accounting for other biomarker components. In contrast, components reflecting microglial reactivity, astrocytic reactivity, and cytokine signalling were associated with longitudinal GM volume increases, with effects varying by AT stage. Conclusions: In this large longitudinal sample of asymptomatic individuals, Aβ pathology emerged as the primary contributor to early neurodegeneration and cognitive decline, beyond the effects of tau pathophysiology and neuroaxonal injury. While glial and inflammatory processes may underlie transient GM increases in preclinical AD. A better understanding of these dynamic relationships between structural brain changes and diverse biological pathways at the earliest stages of AD is crucial to inform the development of interventions before irreversible neurodegeneration occurs.

Indexed as

Amyloid-βAstrocytic reactivityBiomarkersCerebrospinal fluidCognitive declineGrey matter volumeMicroglial reactivityNon-negative matrix factorization (NMF)Preclinical Alzheimer’s diseaseTauVoxel-based morphometry (VBM)

Identifiers

PMID41573343
PMCPMC12822790

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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.