ReviewEuropean journal of nuclear medicine and molecular imaging2026
PET imaging of alpha-synuclein: from radiotracer design through in vitro and in vivo translation.
Review in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Synaptic vesicle glycoprotein 2A PET imaging in parkinsonian α-synucleinopathies: a systematic review.Journal of neurology · 2026Pooled it
- Dopaminergic Radiopharmaceutical Imaging in Parkinsonian Syndromes: From Molecular Targets to Clinical Decision-Making.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Co- and Multi-Pathologies in Parkinson's Disease: An International Parkinson and Movement Disorder Society Scientific Issues Committee Review.Movement disorders : official journal of the Movement Disorder Society · 2026Review
- Preclinical evaluation of [EJNMMI research · 2026Article
- Autoradiography and preclinical PET studies with radiolabeled asyn-44 and ACI-12589 for imaging α-synuclein.Journal of Parkinson's disease · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The development of positron emission tomography (PET) tracers targeting α-synuclein (α-syn) aggregates remains a major challenge in PET imaging of neurodegenerative diseases. This review provides a comprehensive overview of the recent advances, key obstacles, and aims to give future directions for the development of α-syn PET tracers. The first part of the review focuses on the experimental strategies to develop potential α-syn PET ligands. We overview the differences between various types of α-syn fibrils, including preformed fibrils and patient-derived fibrils, and methods such as solid-state nuclear magnetic resonance and cryogenic electron microscopy used for structure elucidation of the fibrils. Furthermore, the review summarizes the techniques for the assessment of ligand binding to α-syn, such as fibril binding assays (competition and saturation binding assays), macro- and microautoradiography, and alternative methods like surface plasmon resonance and biolayer interferometry. Determination of pharmacokinetics and metabolism are likewise important steps in α-syn tracer development, and hurdles and merits of in vitro and in vivo methods are contemplated, in the context of translation to in vivo evaluation in fibril-inoculated and transgenic animal models. Finally, off-target binding of tracer candidates is described, which still remains one of the major pitfalls of α-syn-targeting PET tracers. The second part of the review overviews all small molecule α-syn PET tracers developed since 2022, highlighting their progress, current limitations, and future directions for achieving clinically viable α-syn PET imaging agents.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.