A Trojan horse approach for enhancing the cellular uptake of a ruthenium nitrosyl complex - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Dalton Transactions Année : 2023

A Trojan horse approach for enhancing the cellular uptake of a ruthenium nitrosyl complex

Résumé

Ruthenium nitrosyl (RuNO) complexes continue to attract significant research interest due to several appealing features that make these photoactivatable nitric oxide (NO˙) donors attractive for applications in photoactivated chemotherapy. Interesting examples of molecular candidates capable of delivering cytotoxic concentrations of NO˙ in aqueous media have been discussed. Nevertheless, the question of whether most of these highly polar and relatively large molecules are efficiently incorporated by cells remains largely unanswered. In this paper, we present the synthesis and the chemical, photophysical and photochemical characterization of RuNO complexes functionalized with 17α-ethinylestradiol (EE), a semisynthetic steroidal hormone intended to act as a molecular Trojan horse for the targeted delivery of RuNO complexes. The discussion is centered around two main molecular targets, one containing EE (EE-Phtpy-RuNO) and a reference compound lacking this biological recognition fragment (Phtpy-RuNO). While both complexes displayed similar optical absorption profiles and NO˙ release efficiencies in aqueous media, important differences were found regarding their cellular uptake towards dermal fibroblasts, with EE-Phtpy-RuNO gratifyingly displaying a remarkable 10-fold increase in cellular uptake when compared to Phtpy-RuNO, thus demonstrating the potential drug-targeting capabilities of this biomimetic steroidal conjugate.

Domaines

Chimie
Fichier non déposé

Dates et versions

hal-04346306 , version 1 (15-12-2023)

Identifiants

Citer

Pablo Labra-Vázquez, Erika Rocha, Yue Xiao, Marine Tassé, Carine Duhayon, et al.. A Trojan horse approach for enhancing the cellular uptake of a ruthenium nitrosyl complex. Dalton Transactions, 2023, 52 (48), pp.18177-18193. ⟨10.1039/d3dt03480a⟩. ⟨hal-04346306⟩
48 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More