Skip to main content

New Drug Approvals 2013 - Pt. II - Mipomersen (KynamroTM)



ATC Code: C10AX11
Wikipedia: Mipomersen

On January 29st, the FDA approved Mipomersen (Tradename: Kynamro; Research Code: ISIS-310312), an oligonucleotide inhibitor of apolipoprotein B-100 (apo B-100) synthesis, indicated as an adjunct to lipid-lowering medications and diet to reduce low density lipoprotein-cholesterol (LDL-C), apolipoprotein B (apo B), total cholesterol (TC), and non-high density lipoprotein-cholesterol (non HDL-C) in patients with homozygous familial hypercholesterolemia (HoFH).

Familial hypercholesterolemia is a genetic disorder, characterised by high levels of cholesterol rich low-density lipoproteins (LDL-C) in the blood. This genetic condition is generally attributed to a faulty mutation in the LDL receptor (LDLR) gene, which mediates the endocytosis of LDL-C.

Mipomersen is the first antisense oligonucleotide that targets messenger RNA (mRNA) enconding apolipoprotein B-100 (Apo B-100), the principal apolipoprotein of LDL and its metabolic precursor, very low density lipoprotein (VLDL). Mipomersen forms a duplex with the target mRNA, causing the mRNA to be cleaved by RNase H and therefore unable to be translated to apoB-100. Hepatic apoB mRNA silencing gives rise to reductions in hepatic apoB, total cholesterol and LDL-C levels in the serum (PMID: 23226021).

The binding site for mipomersen lies within the coding region of the apo B mRNA at the position 3249-3268 relative to the published sequence GenBank accession number NM_000384.1.

Mipomersen, like other antisense oligonucleotides, belongs to the -rsen USAN/INN stem group. Several members of this class are currently in clinical trials like Alicaforsen (Isis, phase III) for the treatment of inflammatory bowel disease and Oblimersen (Genta, phase II) for cancer therapy.


Mipomersen (IUPAC Name: 2'-O-(2-methoxyethyl)-P-thioguanylyl-(3'→5')-2'-O-(2-methoxyethyl)-5-methyl- P-thiocytidylyl-(3'→5')-2'-O-(2-methoxyethyl)-5-methyl-P-thiocytidylyl-(3'→5')- 2'-O-(2-methoxyethyl)-5-methyl-P-thiouridylyl-(3'→5')-2'-O-(2-methoxyethyl)-5- methyl-P-thiocytidylyl-(3'→5')-2'-deoxy-P-thioadenylyl-(3'→5')-2'-deoxy-P- thioguanylyl-(3'→5')P-thiothymidylyl-(3'→5')-2'-deoxy-5-methyl-P-thiocytidylyl- (3'→5')-P-thiothymidylyl-(3'→5')-2'-deoxy-P-thioguanylyl-(3'→5')-2'-deoxy-5- methyl-P-thiocytidylyl-(3'→5')-P-thiothymidylyl-(3'→5')-P-thiothymidylyl- (3'→5')-2'-deoxy-5-methyl-P-thiocytidylyl-(3'→5')-2'-O-(2-methoxyethyl)-P- thioguanylyl-(3'→5')-2'-O-(2-methoxyethyl)-5-methyl-P-thiocytidylyl-(3'→5')-2'- O-(2-methoxyethyl)-P-thioadenylyl-(3'→5')-2'-O-(2-methoxyethyl)-5-methyl-P- thiocytidylyl-(3'→5')-2'-O-(2-methoxyethyl)-5-methylcytidine nonadecasodium salt; Canonical smiles: COCCO[C@H]1[C@@H](O)[C@H](COP(=O)(O)S[C@H]2[C@H](COP(=O)(O)S[C@H]3[C@H](COP(=O)(O)S[C@H]4[C@H](COP(=O)(O)S[C@@H]5[C@@H](COP(=O)(O)S[C@H]6C[C@@H](O[C@@H]6COP(=O)(O)S[C@H]7C[C@@H](O[C@@H]7COP(=O)(O)S[C@H]8C[C@@H](O[C@@H]8COP(=O)(O)S[C@H]9C[C@@H](O[C@@H]9COP(=O)(O)S[C@H]%10C[C@@H](O[C@@H]%10COP(=O)(O)S[C@H]%11C[C@@H](O[C@@H]%11COP(=O)(O)S[C@H]%12C[C@@H](O[C@@H]%12COP(=O)(O)S[C@H]%13C[C@@H](O[C@@H]%13COP(=O)(O)S[C@H]%14C[C@@H](O[C@@H]%14COP(=O)(O)S[C@H]%15C[C@@H](O[C@@H]%15COP(=O)(O)S[C@@H]%16[C@@H](COP(=O)(O)S[C@@H]%17[C@@H](COP(=O)(O)S[C@@H]%18[C@@H](COP(=O)(O)S[C@@H]%19[C@@H](COP(=O)(O)S[C@@H]%20[C@@H](CO)O[C@H]([C@@H]%20OCCOC)n%21cnc%22C(=O)NC(=Nc%21%22)N)O[C@H]([C@@H]%19OCCOC)N%23C=C(C)C(=NC%23=O)N)O[C@H]([C@@H]%18OCCOC)N%24C=C(C)C(=NC%24=O)N)O[C@H]([C@@H]%17OCCOC)N%25C=C(C)C(=O)NC%25=O)O[C@H]([C@@H]%16OCCOC)N%26C=C(C)C(=NC%26=O)N)n%27cnc%28c(N)ncnc%27%28)n%29cnc%30C(=O)NC(=Nc%29%30)N)N%31C=C(C)C(=O)NC%31=O)N%32C=C(C)C(=NC%32=O)N)N%33C=C(C)C(=O)NC%33=O)n%34cnc%35C(=O)NC(=Nc%34%35)N)N%36C=C(C)C(=NC%36=O)N)N%37C=C(C)C(=O)NC%37=O)N%38C=C(C)C(=O)NC%38=O)N%39C=C(C)C(=NC%39=O)N)O[C@H]([C@@H]5OCCOC)n%40cnc%41C(=O)NC(=Nc%40%41)N)O[C@@H]([C@H]4OCCOC)N%42C=C(C)C(=NC%42=O)N)O[C@@H]([C@H]3OCCOC)n%43cnc%44c(N)ncnc%43%44)O[C@@H]([C@H]2OCCOC)N%45C=C(C)C(=NC%45=O)N)O[C@@H]1N%46C=C(C)C(=NC%46=O)N; ChEMBL: CHEMBL1208153; Standard InChI Key: TZRFSLHOCZEXCC-PBNBMMCMSA-N) is a synthetic second-generation 20-base phosphorothioate antisense oligonucleotide, with a molecular weight of 7594.9 Da and the following sequence:

5'-GMeCMeCMeUMeCAGTMeCTGMeCTTMeCGMeCAMeCMeC-3'

where the underlined residues are 2′-O-(2-methoxyethyl) nucleosides, and the remaining are 2′-deoxynucleosides. Substitution at the 5-position of the cytosine (C) and uracil (U) bases with a methyl group is indicated by Me.

Mipomersen is available as an aqueous solution for subcutaneous injection, and the recommended weekly dose is a single-use pre-filled syringe containing 1 mL of a 200 mg/mL solution. Following subcutaneous injection, peak concentrations of mipomersen are typically reached in 3 to 4 hours. The estimated plasma bioavailability of mipomersen following subcutaneous administration over a dose range of 50 mg to 400 mg, relative to intravenous administration, ranged from 54% to 78%. Mipomersen is highly bound to human plasma proteins (≥ 90%).

Mipomersen is metabolised in tissues by endonucleases to form shorter oligonucleotides that are then substrates for additional metabolism by exonucleases, and finally excreted in urine. The elimination half-life (t1/2) for mipomersen is approximately 1 to 2 months.

Mipomersen has been approved with a black box warning due to an increase in transaminases (alanine aminotransferase [ALT] and/or aspartate aminotransferase [AST]) levels, and hepatic fat content (steatosis) after exposure to the drug.

The license holder for KynamroTM is Genzyme Corporation, and the full prescribing information can be found here.

Comments

Popular posts from this blog

Here's a nice Christmas gift - ChEMBL 35 is out!

Use your well-deserved Christmas holidays to spend time with your loved ones and explore the new release of ChEMBL 35!            This fresh release comes with a wealth of new data sets and some new data sources as well. Examples include a total of 14 datasets deposited by by the ASAP ( AI-driven Structure-enabled Antiviral Platform) project, a new NTD data se t by Aberystwyth University on anti-schistosome activity, nine new chemical probe data sets, and seven new data sets for the Chemogenomic library of the EUbOPEN project. We also inlcuded a few new fields that do impr ove the provenance and FAIRness of the data we host in ChEMBL:  1) A CONTACT field has been added to the DOCs table which should contain a contact profile of someone willing to be contacted about details of the dataset (ideally an ORCID ID; up to 3 contacts can be provided). 2) In an effort to provide more detailed information about the source of a deposited dat...

Improvements in SureChEMBL's chemistry search and adoption of RDKit

    Dear SureChEMBL users, If you frequently rely on our "chemistry search" feature, today brings great news! We’ve recently implemented a major update that makes your search experience faster than ever. What's New? Last week, we upgraded our structure search engine by aligning it with the core code base used in ChEMBL . This update allows SureChEMBL to leverage our FPSim2 Python package , returning results in approximately one second. The similarity search relies on 256-bit RDKit -calculated ECFP4 fingerprints, and a single instance requires approximately 1 GB of RAM to run. SureChEMBL’s FPSim2 file is not currently available for download, but we are considering generating it periodicaly and have created it once for you to try in Google Colab ! For substructure searches, we now also use an RDKit -based solution via SubstructLibrary , which returns results several times faster than our previous implementation. Additionally, structure search results are now sorted by...

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 ...

Improved querying for SureChEMBL

    Dear SureChEMBL users, Earlier this year we ran a survey to identify what you, the users, would like to see next in SureChEMBL. Thank you for offering your feedback! This gave us the opportunity to have some interesting discussions both internally and externally. While we can't publicly reveal precisely our plans for the coming months (everything will be delivered at the right time), we can at least say that improving the compound structure extraction quality is a priority. Unfortunately, the change won't happen overnight as reprocessing 167 millions patents takes a while. However, the good news is that the new generation of optical chemical structure recognition shows good performance, even for patent images! We hope we can share our results with you soon. So in the meantime, what are we doing? You may have noticed a few changes on the SureChEMBL main page. No more "Beta" flag since we consider the system to be stable enough (it does not mean that you will never ...

ChEMBL brings drug bioactivity data to the Protein Data Bank in Europe

In the quest to develop new drugs, understanding the 3D structure of molecules is crucial. Resources like the Protein Data Bank in Europe (PDBe) and the Cambridge Structural Database (CSD) provide these 3D blueprints for many biological molecules. However, researchers also need to know how these molecules interact with their biological target – their bioactivity. ChEMBL is a treasure trove of bioactivity data for countless drug-like molecules. It tells us how strongly a molecule binds to a target, how it affects a biological process, and even how it might be metabolized. But here's the catch: while ChEMBL provides extensive information on a molecule's activity and cross references to other data sources, it doesn't always tell us if a 3D structure is available for a specific drug-target complex. This can be a roadblock for researchers who need that structural information to design effective drugs. Therefore, connecting ChEMBL data with resources like PDBe and CSD is essen...