Evidence map›Paper›PMID 41102691›Full record

ArticleMolecular neurodegeneration2025

Synaptic dysfunction and glial activation markers throughout aging and early neurodegeneration: a longitudinal CSF biomarker-based study.

Mariana I Muñoz-García, Yuetiva Deming, Ferran Lugo-Hernández, Sterling Johnson, Sanjay Asthana, Gwendlyn Kollmorgen, Clara Quijano-Rubio, Cynthia Carlsson, Ozioma C Okonkwo, David Pérez-Martinez and 6 more

Abstract read
In one paragraph

Article in Molecular neurodegeneration, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Metabotropic glutamate receptor 5 is associated with plasma GFAP dependent on age.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Review
  6. Review
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

16 authors.

Mariana I Muñoz-GarcíaMemory Unit, Neurology Department, Hospital Universitario 12 de Octubre, Madrid, España.
Yuetiva DemingWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Ferran Lugo-HernándezBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, Barcelona, 08005, Spain.
Sterling JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Sanjay AsthanaWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Gwendlyn KollmorgenRoche Diagnostics GmbH, Penzberg, Germany.
Clara Quijano-RubioRoche Diagnostics International Ltd, Rotkreuz, Switzerland.
Cynthia CarlssonWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Ozioma C OkonkwoWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
David Pérez-MartinezMemory Unit, Neurology Department, Hospital Universitario 12 de Octubre, Madrid, España.
Alberto Villarejo-GalendeMemory Unit, Neurology Department, Hospital Universitario 12 de Octubre, Madrid, España.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Marc Suárez-CalvetBarcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Wellington 30, Barcelona, 08005, Spain.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Barbara B BendlinWisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Estrella Morenas-RodríguezMemory Unit, Neurology Department, Hospital Universitario 12 de Octubre, Madrid, España. estrella.morenas.imas12@h12o.es.

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 Barbara Brigitta Bendlin · 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
AD Strategic Fund and the Alzheimer's Association #ADSF-21-831376-C, #ADSF-21-831381-C, #ADSF-21-831377-C, and #ADSF-24-1284328-CAlzheimer Drug Discovery Foundation #201809-2016862ERA PerMed-ERA NET and the Generalitat de Catalunya SLD077/21/000001Eugenio Rodríguez Pascual Foundation FERP-2024-091European Partnership on Metrology, co-financed from the European Union's Horizon Europe Research and Innovation Programme and by the Participating States NEuroBioStand, #22HLT07European Research Council 948677European Union Joint Programme - Neurodegenerative Disease Research JPND2021-00694European Union's Horizon 2020 research and innovation programme No 847648 (LCF/BQ/PR21/11840004)European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie No 860197 (MIRIADE)European Union's Horizon Europe research and innovation programme 101053962Instituto de Salud Carlos III CM24/00130Instituto de Salud Carlos III JR21/00014Instituto de Salud Carlos III PI19/00155, PI22/00456la Caixa" Foundation 100010434National Institute on Ageing R01 AG027161, AG021155, P30AG062715NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161Stiftelsen för Gamla Tjänarinnor, Hjärnfonden, Sweden #FO2022-0270Swedish Research Council (#2023-00356, #2022-01018 and #2019-02397Swedish State Support for Clinical Research #ALFGBG-71320the UK Dementia Research Institute at UCL UKDRI-1003
6 · The paper itself

Abstract

backgroundSynaptic homeostasis, maintained by microglia and astroglia, is disrupted throughout aging and early on in neurodegenerative diseases. Our aim was to study the relationship between TREM2-dependent microglial reactivity, astroglial response and synaptic dysfunction in two longitudinal cohorts of cognitively healthy volunteers and determine whether this relationship is influenced by AD core biomarkers.

methodsWe analyzed cross-sectional and longitudinal associations between cerebrospinal fluid levels of soluble TREM2 (sTREM2), astroglial markers (GFAP, S100B), and synaptic markers (neurogranin, α-synuclein) in cognitively unimpaired participants from the Wisconsin Registry for Alzheimer's Prevention (WRAP) and the Alzheimer's and Families (ALFA+) cohort. Biomarkers were quantified using validated immunoassays (NeuroToolKit, Roche), with sTREM2 measured using an in-house MSD-based assay in the WRAP cohort. Linear regression and linear mixed-effects models were used, both unadjusted and adjusted for Aβ42 and p-tau. Subgroup analyses were performed based on AT classification, APOE-ε4 status, and median splits of Aβ42/Aβ40 ratio and p-tau, to capture profiles suggestive of early AD-related neuropathogenesis.

resultsWe found significant cross-sectional associations between sTREM2 and α-synuclein, as well as between sTREM2 and S100B, in subgroups exhibiting AD-related biomarker profiles. Longitudinally, lower baseline neurogranin and α-synuclein and higher S100B predicted greater increases in sTREM2 over time independently of AD-related markers in the WRAP cohort (β = -0.02, p = 0.006; β = -0.02, p = 0.01; β = 0.02, p = 0.03, respectively). In ALFA+, lower baseline α-synuclein also predicted a greater subsequent longitudinal increase in sTREM2, but only among individuals with Aβ42/Aβ40 ratio above the median (β = -0.01, p = 0.05). Notably, higher baseline sTREM2 was associated with a smaller longitudinal increase in neurogranin in both cohorts (β = -0.01, p = 0.03 for WRAP, β = -0.01, p = 0.04 in ALFA+).

conclusionsSynaptic dysfunction markers at baseline influence the longitudinal dynamics of CSF sTREM2 independently of AD-pathology related biomarkers throughout aging and earliest stages of neurodegeneration. In turn, higher baseline sTREM2 is associated with more stable neurogranin levels over time. These results suggest an independent interaction between synaptic dysfunction and TREM2-dependent microglial activation throughout aging and early neurodegeneration beyond AD pathology.

Indexed as

AgingAlzheimer DiseaseNeurodegenerative DiseasesNeurogliaSynapsesAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMembrane GlycoproteinsMiddle AgedAmyloid beta-PeptidesBiomarkersMembrane GlycoproteinsNeurograninReceptors, ImmunologicS100 Calcium Binding Protein beta SubunitTREM2 protein, humanAgingMicrogliaNeurodegenerationSynaptic functionTREM2

Identifiers

PMID41102691
PMCPMC12533437

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