Evidence map›Paper›PMID 24100201›Full record

ArticleNuclear medicine and biology2013

[18F]FMeNER-D2: reliable fully-automated synthesis for visualization of the norepinephrine transporter.

Christina Rami-Mark, Ming-Rong Zhang, Markus Mitterhauser, Rupert Lanzenberger, Marcus Hacker, Wolfgang Wadsak

Abstract read
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Article in Nuclear medicine and biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Sulfur [Journal of the American Chemical Society · 2021
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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

6 authors.

Christina Rami-MarkRadiochemistry and Biomarker Development Unit, Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Austria; Department of Inorganic Chemistry, University of Vienna, Austria.
Ming-Rong Zhang
Markus Mitterhauser
Rupert Lanzenberger
Marcus Hacker
Wolfgang Wadsak

Funding

Austrian Science Fund FWF P 22981
6 · The paper itself

Abstract

purposeIn neurodegenerative diseases and neuropsychiatric disorders dysregulation of the norepinephrine transporter (NET) has been reported. For visualization of NET availability and occupancy in the human brain PET imaging can be used. Therefore, selective NET-PET tracers with high affinity are required. Amongst these, [(18)F]FMeNER-D2 is showing the best results so far. Furthermore, a reliable fully automated radiosynthesis is a prerequisite for successful application of PET-tracers. The aim of this work was the automation of [(18)F]FMeNER-D2 radiolabelling for subsequent clinical use. The presented study comprises 25 automated large-scale syntheses, which were directly applied to healthy volunteers and adult patients suffering from attention deficit hyperactivity disorder (ADHD). PROCEDURES: Synthesis of [(18)F]FMeNER-D2 was automated within a Nuclear Interface Module. Starting from 20-30 GBq [(18)F]fluoride, azeotropic drying, reaction with Br2CD2, distillation of 1-bromo-2-[(18)F]fluoromethane-D2 ([(18)F]BFM) and reaction of the pure [(18)F]BFM with unprotected precursor NER were optimized and completely automated. HPLC purification and SPE procedure were completed, formulation and sterile filtration were achieved on-line and full quality control was performed.

resultsPurified product was obtained in a fully automated synthesis in clinical scale allowing maximum radiation safety and routine production under GMP-like manner. So far, more than 25 fully automated syntheses were successfully performed, yielding 1.0-2.5 GBq of formulated [(18)F]FMeNER-D2 with specific activities between 430 and 1707 GBq/μmol within 95 min total preparation time.

conclusionsA first fully automated [(18)F]FMeNER-D2 synthesis was established, allowing routine production of this NET-PET tracer under maximum radiation safety and standardization.

Indexed as

AutomationHumansInjectionsMorpholinesNorepinephrine Plasma Membrane Transport ProteinsPositron-Emission TomographyRadiochemistry2-(alpha-(2-fluoromethoxyphenoxy)benzyl)morpholineMorpholinesNorepinephrine Plasma Membrane Transport ProteinsAutomationFluorine-18FMeNERFMeNER-D2Norepinephrine transporterPETRadiosynthesis

Identifiers

PMID24100201
PMCPMC3919152

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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.