Selection of the optimal macrocyclic chelators for labeling with


Journal

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
ISSN: 1873-3441
Titre abrégé: Eur J Pharm Biopharm
Pays: Netherlands
ID NLM: 9109778

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 11 02 2019
revised: 07 05 2019
accepted: 09 05 2019
pubmed: 15 5 2019
medline: 21 11 2019
entrez: 15 5 2019
Statut: ppublish

Résumé

Radionuclide molecular imaging is a promising tool that becomes increasingly important as targeted cancer therapies are developed. To ensure an effective treatment, a molecular stratification of the cancer is a necessity. To accomplish this, visualization of cancer associated molecular abnormalities in vivo by molecular imaging is the method of choice. ADAPTs, a novel type of small protein scaffold, have been utilized to select and develop high affinity binders to different proteinaceous targets. One of these binders, ADAPT6 selectively interacts with human epidermal growth factor 2 (HER2) with low nanomolar affinity and can therefore be used for its in vivo visualization. Molecular design and optimization of labeled anti-HER2 ADAPT has been explored in several earlier studies, showing that small changes in the scaffold affect the biodistribution of the domain. In this study, we evaluate how the biodistribution properties of ADAPT6 is affected by the commonly used maleimido derivatives of the macrocyclic chelators NOTA, NODAGA, DOTA and DOTAGA with the aim to select the best variants for SPECT and PET imaging. The different conjugates were labeled with

Identifiants

pubmed: 31082509
pii: S0939-6411(19)30175-4
doi: 10.1016/j.ejpb.2019.05.008
pii:
doi:

Substances chimiques

Chelating Agents 0
Gallium Radioisotopes 0
Indium Radioisotopes 0
Macrocyclic Compounds 0
Proteins 0
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109-120

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Emma von Witting (E)

Department of Protein Science, KTH - Royal Institute of Technology, SE-10691 Stockholm, Sweden.

Javad Garousi (J)

Department of Immunology, Genetics and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.

Sarah Lindbo (S)

Department of Protein Science, KTH - Royal Institute of Technology, SE-10691 Stockholm, Sweden.

Anzhelika Vorobyeva (A)

Department of Immunology, Genetics and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.

Mohamed Altai (M)

Department of Immunology, Genetics and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.

Maryam Oroujeni (M)

Department of Immunology, Genetics and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.

Bogdan Mitran (B)

Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden.

Anna Orlova (A)

Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden.

Sophia Hober (S)

Department of Protein Science, KTH - Royal Institute of Technology, SE-10691 Stockholm, Sweden. Electronic address: sophia@kth.se.

Vladimir Tolmachev (V)

Department of Immunology, Genetics and Pathology, Uppsala University, SE-75185 Uppsala, Sweden.

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Classifications MeSH