Skip to main content

New Drug Approvals 2014 - Pt. VI - Florbetaben F18 (Neuraceq™)




ATC Code: Unavailable
Wikipedia: Florbetaben_F18
ChEMBL: CHEMBL1908906

On March 19th the FDA approved  Florbetaben F18 (Neuraceq™) as a radioactive diagnostic agent for Positron Emission Tomography (PET) imaging of the brain to estimate β-amyloid (βA) neuritic plaque density in adult patients with cognitive impairment who are being evaluated for Alzheimer’s disease or other causes of cognitive decline.

Alzheimer's disease is the most common form of dementia, can currently not be cured and is characterised by a progressive disease pattern that usually leads to death.  Alzheimer's is predicted to affect 1 in 85 people globally by 2050.

Target(s)
Florbetaben binds with high affinity to βA in brain homogenates and selectively labels βA plaques and cerebral amyloid angiopathy. βA (PDB ; Uniprot P05067) denotes 36-43 length peptides that are believed to be crucially involved in the Alzheimer's disease mechanism. βA aggregates in the brain of Alzheimer's patients and is derived from amyloid precursor protein which is cut by certain enzymes. βA and the resulting plaques are toxic to neurons. Following intravenous administration, Florbetaben F18 crosses the blood brain barrier and shows differential retention in brain regions that contain βA deposits. Differences in signal intensity between brain regions showing specific and non­ specific Florbetaben F18 uptake form the basis for the image interpretation method.



Florbetaben F18 (CHEMBL1908906Pubchem : 53257383) is a small molecule drug with a molecular weight of 359.4 Da, an AlogP of 3.75, 12 rotatable bonds, and no rule of 5 violations. Florbetaben F18 
is administered intravenously.

Canonical SMILES: CNc1ccc(\C=C\c2ccc(OCCOCCOCCF)cc2)cc1
InChi: InChI=1S/C21H26FNO3/c1-23-20-8-4-18(5-9-20)2-3-19-6-10-21(11-7-19)26-17-16-25-15-14-24-13-12-22/h2-11,23H,12-17H2,1H3/b3-2+

Dosage
The recommended dose of Neuraceq is 300 MBq (8.1 mCi), maximum 30 mcg mass dose, administered as a single
slow intravenous bolus (6 sec/mL) in a total volume of up to 10 mL. PET images should subsequently be acquired approximately 45 - 130 minutes after injection over a period of 15-20 minutes. 

Warning / limitations of use
A positive Neuraceq scan does not establish the diagnosis of AD or any other cognitive disorder.
Safety and effectiveness of Neuraceq have not been established for:
  • Predicting development of dementia or other neurologic conditions;
  • Monitoring responses to therapies.
Neuraceq, similar to other radiopharmaceuticals, contributes to a patient's overall long-term cumulative radiation exposure. Long-term cumulative radiation exposure is associated with an increased risk of cancer.

Pharmacokinetics
Ten minutes after intravenous bolus injection of 300 MBq of Neuraceq in human volunteers, approximately 6% of the injected radioactivity was distributed to the brain. Florbetaben F 18 plasma concentrations declined by approximately 75% at 20 minutes post-injection, and by approximately 90% at 50 minutes.

Elimination
Florbetaben F18 is mainly eliminated via the hepatobiliary route with a mean half-life of approximately 1 hour. 

Metabolism
Forbetaben F18 is metabolized mainly by CYP2J2 and CYP4F2.

License holder
The license holder is Piramal Imaging, the highlights of the prescribing information can be found here.

Comments

Popular posts from this blog

SureChEMBL Available Now

Followers of the ChEMBL group's activities and this blog will be aware of our involvement in the migration of the previously commercially available SureChem chemistry patent system, to a new, free-for-all system, known as SureChEMBL. Today we are very pleased to announce that the migration process is complete and the SureChEMBL website is now online. SureChEMBL provides the research community with the ability to search the patent literature using Lucene-based keyword queries and, much more importantly, chemistry-based queries. If you are not familiar with SureChEMBL, we recommend you review the content of these earlier blogposts here and here . SureChEMBL is a live system, which is continuously extracting chemical entities from the patent literature. The time it takes for a new chemical in the patent literature to become searchable in the SureChEMBL system is 1-2 days (WO patents can sometimes take a bit longer due to an additional reprocessing step). At time of writi

New SureChEMBL announcement

(Generated with DALL-E 3 ∙ 30 October 2023 at 1:48 pm) We have some very exciting news to report: the new SureChEMBL is now available! Hooray! What is SureChEMBL, you may ask. Good question! In our portfolio of chemical biology services, alongside our established database of bioactivity data for drug-like molecules ChEMBL , our dictionary of annotated small molecule entities ChEBI , and our compound cross-referencing system UniChem , we also deliver a database of annotated patents! Almost 10 years ago , EMBL-EBI acquired the SureChem system of chemically annotated patents and made this freely accessible in the public domain as SureChEMBL. Since then, our team has continued to maintain and deliver SureChEMBL. However, this has become increasingly challenging due to the complexities of the underlying codebase. We were awarded a Wellcome Trust grant in 2021 to completely overhaul SureChEMBL, with a new UI, backend infrastructure, and new f

ChEMBL & SureChEMBL anniversary symposium

  In 2024 we celebrate the 15th anniversary of the first public release of the ChEMBL database as well as the 10th anniversary of SureChEMBL. To recognise this important landmark we are organising a two-day symposium to celebrate the work achieved by ChEMBL and SureChEMBL, and look forward to its future.   Save the date for the ChEMBL 15 Year Symposium October 1-2, 2024     Day one will consist of four workshops, a basic ChEMBL drug design workshop; an advanced ChEMBL workshop (EUbOPEN community workshop); a ChEMBL data deposition workshop; and a SureChEMBL workshop. Day two will consist of a series of talks from invited speakers, a few poster flash talks, a local nature walk, as well as celebratory cake. During the breaks, the poster session will be a great opportunity to catch up with other users and collaborators of the ChEMBL resources and chat to colleagues, co-workers and others to find out more about how the database is being used. Lunch and refreshments will be pro

ChEMBL 34 is out!

We are delighted to announce the release of ChEMBL 34, which includes a full update to drug and clinical candidate drug data. This version of the database, prepared on 28/03/2024 contains:         2,431,025 compounds (of which 2,409,270 have mol files)         3,106,257 compound records (non-unique compounds)         20,772,701 activities         1,644,390 assays         15,598 targets         89,892 documents Data can be downloaded from the ChEMBL FTP site:  https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_34/ Please see ChEMBL_34 release notes for full details of all changes in this release:  https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_34/chembl_34_release_notes.txt New Data Sources European Medicines Agency (src_id = 66): European Medicines Agency's data correspond to EMA drugs prior to 20 January 2023 (excluding vaccines). 71 out of the 882 newly added EMA drugs are only authorised by EMA, rather than from other regulatory bodies e.g.

RDKit, C++ and Jupyter Notebook

Fancy playing with RDKit C++ API without needing to set up a C++ project and compile it? But wait... isn't C++ a compiled programming language? How this can be even possible? Thanks to Cling (CERN's C++ interpreter) and xeus-cling jupyter kernel is possible to use C++ as an intepreted language inside a jupyter notebook! We prepared a simple notebook showing few examples of RDKit functionalities and a docker image in case you want to run it. With the single requirement of docker being installed in your computer you'll be able to easily run the examples following the three steps below: docker pull eloyfelix/rdkit_jupyter_cling docker run -d -p 9999:9999 eloyfelix/rdkit_jupyter_cling open  http://localhost:9999/notebooks/rdkit_cling.ipynb  in a browser