Evidence map›Paper›PMID 41404649›Full record

ReviewEuropean journal of clinical investigation2026

Mapping Alzheimer's disease heterogeneity with molecular imaging biomarkers.

Elif Harput, Cecilia Boccalini, Gregory Mathoux, John O Prior, Nathalie Testart, Mario Jreige, Valentina Garibotto

Abstract readReview
In one paragraph

Review in European journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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  5. 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

7 authors.

Elif HarputLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocentre and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Cecilia BoccaliniLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocentre and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Gregory MathouxDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland.
John O PriorNuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland.
Nathalie TestartNuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland.
Mario JreigeNuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland.
Valentina GaribottoLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocentre and Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0003-2422-698X

Funding

Fondation Ernst et Lucie Schmidheiny 320030_169876Fondation Ernst et Lucie Schmidheiny 320030_185028Fondation Ernst et Lucie Schmidheiny 320030_220099Fondation Privée des HUGSchmidheiny FoundationVelux Fonden
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is neuropathologically defined by the buildup of misfolded proteins such as extracellular amyloid-β (Aβ) and intracellular tau neurofibrillary tangles. AD also extends beyond these pathological processes, and additional mechanisms such as synaptic dysfunction, microglial activity, astrocytic neuroinflammation play an important role as biomarkers of AD progression. In vivo evaluation and quantification of these molecular processes are possible with positron emission tomography (PET) imaging. As disease-modifying therapies are entering clinical use, biomarkers' importance for early diagnosis and longitudinal monitoring of the disease increases.

resultsAβ is the earliest signature of AD which can be measured with PET imaging, followed by tau-PET positivity, which is highly specific and central for staging and longitudinal monitoring. FDG-PET continues to serve as a gold standard for detecting neurodegeneration, challenged by emerging dual-phase PET protocols for amyloid and tau imaging, which integrate perfusion as a measure of neurodegeneration and pathology information in a single session, enhancing diagnostic efficiency. Synaptic density imaging reveals early synaptic loss linked to cognitive performance and decline. Neuroinflammation tracers can visualize microglial and astrocytic activation, contributing to disease onset and progression. Novel PET tracers targeting alpha-synuclein and TDP-43 show great promise for detecting co-pathologies which can contribute to AD clinical heterogeneity.

conclusionPET imaging has advanced the field by enabling visualization of AD-related changes and providing measurable outcomes for clinical trials and disease-modifying therapies. Imaging of related pathologies can further improve diagnostic accuracy and provide important insights into disease heterogeneity. Moving forward, integrating multiple PET biomarkers into personalized diagnostic approaches will be crucial.

Indexed as

Alzheimer DiseaseMolecular Imagingalpha-SynucleinAmyloid beta-PeptidesBiomarkersFluorodeoxyglucose F18HumansMicrogliaPositron-Emission Tomographytau Proteinsalpha-SynucleinAmyloid beta-PeptidesBiomarkersFluorodeoxyglucose F18tau ProteinsAlzheimer's diseasebiomarkersco‐pathologiesimagingpositron emission tomography

Identifiers

PMID41404649
PMCPMC12827845

What OpenQuestion holds

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Registered trials

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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.