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ArticleEuropean journal of nuclear medicine and molecular imaging2025

Clinical and molecular correlates of limbic age-related TDP-43 encephalopathy (LATE)

Cecilia Boccalini, Luisa Knappe, Gregory Mathoux, Debora Elisa Peretti, Federica Ribaldi, Francesca B Pizzini, Linjing Mu, Max Scheffler, Giovanni B Frisoni, Valentina Garibotto

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Cecilia BoccaliniLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-3518-436X
Luisa KnappeDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland.
Gregory MathouxDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland.
Debora Elisa PerettiLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Federica RibaldiGeneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Francesca B PizziniDepartment of Engineering for Innovation Medicine, University of Verona, Verona, Italy.
Linjing MuInstitute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Max SchefflerDivision of Radiology, Geneva University Hospitals, Geneva, Switzerland.
Giovanni B FrisoniGeneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Valentina GaribottoLaboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland. valentina.garibotto@hcuge.ch.ORCID 0000-0003-2422-698X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to test the ability to visually detect the characteristic medial temporal and limbic hypometabolic pattern of limbic age-related TDP-43 encephalopathy (LATE) in 18F-FDG-PET of patients with amnestic mild cognitive impairment (aMCI) and evaluate its prognostic value.

methodsWe included 70 patients with aMCI who underwent 18F-FDG-PET, amyloid-PET, tau-PET, and structural MRI, as well as baseline and follow-up cognitive evaluation. 18F-FDG-PET scans were analyzed visually with single-subject maps, categorized as normal, Alzheimer's disease (AD)-like, LATE-like, or other neurodegenerative diseases, while blinded from other data. Clinical and biomarker features as well as cognitive trajectories were compared between groups.

results25 scans were classified as normal, 25 as AD-like, 12 as LATE-like, and 8 as others. Patients with AD-like patterns were younger, had lower MMSE scores, inferior-to-medial temporal metabolism ratio, and greater hippocampal atrophy and cortical tau load than subjects with normal scans. Patients with LATE-like patterns had lower MMSE scores and more hippocampal atrophy than subjects with normal scans. Patients with LATE-like patterns were significantly older, had greater inferior-to-medial temporal metabolism ratio, greater amygdalar atrophy, and lower cortical tau load than subjects with AD-like patterns. Only subjects classified as AD-like showed a faster cognitive decline than negative scans.

conclusionLATE-like hypometabolic pattern in aMCI can identify a subgroup of subjects distinct from AD and controls in terms of clinical severity, medial temporal atrophy, cortical tau load, and cognitive decline, supporting the utility of 18F-FDG-PET as a biomarker that provides inferential support for the specific detection of LATE.

Indexed as

AmnesiaCognitive DysfunctionFluorodeoxyglucose F18Limbic SystemPositron-Emission TomographyAgedFemaleHumansMaleMiddle AgedFluorodeoxyglucose F18Alzheimer’s diseaseFluorodeoxyglucose positron emission tomographyLimbic age-related TDP-43 encephalopathyMild cognitive impairment

Identifiers

PMID40512255
PMCPMC12589272

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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 Socratic graph.