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Enregistrement W4412278168

Direct Aromatic F-18-labeling of Tetrazines:A Rapid and Convenient Entry to Tetrazines for Pretargeted PET Imaging [Meeting Abstract]

2020· article· en· W4412278168 sur OpenAlexaff
Rocio Garcia Vazquez, Umberto Maria Battisti, Daniel L. Stares, Ida Nymann Petersen, François Crestey, Dennis Svatunek, Hannes Mikula, Jesper L. Kristensen, Andreas Kjær, Matthias M. Herth

Notice bibliographique

RevueResearch at the University of Copenhagen (University of Copenhagen) · 2020
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiqueChemical Reactions and Isotopes
Établissements canadiensInnovation Cluster (Canada)Nickel Institute
Organismes subventionnairesnon disponible
Mots-clésChemistryRadiochemistry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

<b>134</b> <h3><b>Introduction:</b></h3> Recently, tetrazines have been successfully developed as pretargeted imaging agents. Particularly, they have been of interest when used with trans-cyclooctene (TCO) modified mAbs for pretargeted immunoimaging due to their fast reaction kinetics <i>in vivo</i> as well as their high specificity. (1) Pretargeting is based on a two-step process in which a TCO-tagged nanomedicine, for example an antibody, is administered and allowed to accumulate followed by a short-lived radiolabeled tetrazine. The latter reagent is able to form a stable covalent conjugate with the TCO through a bioorthogonal reaction. (2,3) This approach results in an enhanced safety profile as well as a higher image quality when compared to conventional radioimmunoimaging. (4) Many attempts to label highly reactive tetrazines with <sup>18</sup>F, the most ideal nuclide for PET imaging, have been attempted. However, no successful <sup>18</sup>F-direct labeling approach has been reported so far with enough radiochemical yields (RCYs). (5) In this work, we successfully developed a direct aromatic <sup>18</sup>F-labeling approach of tetrazines. <h3><b>Methods:</b></h3> Initially, a low reactive methyl-tetrazine was selected as a model compound to evaluate the feasibility of the synthesis and radiolabelling of a set of precursors through direct aromatic fluorinations (<i>Figure 1</i>). Thereafter, the best labeling approach was optimized in respect to labeling conditions varying temperature, time and base amount. In a next step, we studied the substrate scope of the reaction on a set of tetrazines including methyl-, H-, phenyl- and pyridyl- tetrazines (<i>Figure 2</i>). The effect of electron withdrawing and electron donating groups on the aromatic ring was evaluated in terms of synthetic accessibility, radiochemical conversion (RCC) and RCY (<i>Figure 3</i>). <h3><b>Results:</b></h3> Out of all tested labeling reactions, radiolabeling only succeeded through Cu-mediated <sup>18</sup>F-fluorination using stannate precursors (<i>Figure 1)</i>. Moderate to good RCYs (10-24%) were obtained for methyl-, phenyl- and H-tetrazines. 2-Pyridyl structures were prohibitive, most likely due to a chelation effect of copper with the respective pyridyl moieties of the tetrazines <i>(Figure 2</i>). Subsequently, we investigated which substitution pattern of the H-tetrazine yielded in highest RCYs. Best results were obtained with a 3,5-substitution pattern (<i>Figure 3</i>). <h3><b>Conclusions:</b></h3> This work showed the first <sup>18</sup>F-direct labeling strategy of highly reactive tetrazines, starting from organotin precursors via a Cu-mediated approach. The developed procedure is simple, short, reproducible as well as scalable and as such, superior to previously used <sup>18</sup>F-multistep labeling strategies with regard to clinical applications. Currently, we are working on the first directly <sup>18</sup>F-radiolabeled tetrazine structures, which will be used for pretargeted brain and cancer imaging. <b>Acknowledgments:</b> This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 813528. This project has also received funding from the European Union9s Horizon 2020 research and innovation program under grant agreement No 668532: Click-it.<b><i>Figure 1</i></b><i>. Radiolabeling strategies using different methyl-tetrazine precursors to probe the fluorination.</i><b><i>Figure 2</i></b><i>. Radiolabeling with Cu-mediated fluorination reaction of higher reactive tetrazines. *The radiolabeled compound was never isolated. †Preliminary studies based on n=2.</i><b><i>Figure 3</i></b><i>. Study of the RCCs when including in the aromatic ring different linkers. *The stannate precursor was never isolated. **The radiolabeled compound was never isolated.</i><i>†Preliminary studies based on n=2.</i>

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,331
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0650,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,140
Tête enseignante GPT0,389
Écart entre enseignants0,249 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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