Evidence map›Paper›PMID 40921933›Full record

ArticleEJNMMI radiopharmacy and chemistry2025

Brain-penetrating peptide and antibody radioligands for proof-of-concept PET imaging of fibrin in Alzheimer's disease.

Dag Sehlin, Ximena Aguilar, Marta Cortés-Canteli, Stina Syvänen, Sara Lopes van den Broek

Abstract read
In one paragraph

Article in EJNMMI radiopharmacy and chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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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

1 citing paper in PubMed.

  1. Unveiling the procoagulant state in Alzheimer's disease: A novel PET imaging strategy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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

5 authors.

Dag SehlinDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, 751 85, Sweden.
Ximena AguilarDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, 751 85, Sweden.
Marta Cortés-CanteliCentro Internacional de Neurociencia Cajal, Consejo Superior de Investigaciones Científicas (CINC, CSIC), Madrid, Spain.
Stina SyvänenDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, 751 85, Sweden.
Sara Lopes van den BroekDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, 751 85, Sweden. sara.lopesvandenbroek@uu.se.ORCID http://orcid.org/0000-0002-3874-6962

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is increasingly recognized as a multifactorial disorder with vascular contributions, including a pro-coagulant state marked by fibrin deposition in the brain. Fibrin accumulation may exacerbate cerebral hypoperfusion and neuroinflammation, leading to neurodegeneration. Identifying patients with this pathology could enable targeted anticoagulant therapy. However, current imaging tools lack the specificity and sensitivity to detect fibrin in the brain non-invasively. This study aimed to develop and evaluate brain-penetrating peptide- and antibody-based PET radioligands targeting fibrin to enable individualized treatment strategies in AD.

resultsA fibrin-binding peptide (FBP) was conjugated to the antibody fragment scFv8D3, which targets the transferrin receptor (TfR), to facilitate transcytosis across the blood-brain barrier. FBP-scFv8D3 bound TfR and with modest affinity to fibrin. In vivo studies in Tg-ArcSwe mice, that exhibit fibrin along with brain amyloid-β pathology, and wild-type mice showed that [

conclusionThis proof-of-concept study demonstrates the feasibility of using bispecific antibody-based PET radioligands to target fibrin in the AD brain. While the FBP-scFv8D3 conjugate showed limited specificity, the bispecific antibody 1101-scFv8D3 exhibited higher brain penetration and fibrin selectivity. These findings support further development of antibody-based imaging tools toward the goal to stratify AD patients who may benefit from anticoagulant therapy.

Indexed as

Alzheimer’s diseaseBlood-brain barrierFibrinPositron emission tomographyVascular

Identifiers

PMID40921933
PMCPMC12417348

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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.