Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/8533
Title: Mononuclear silver(I) complexes with 1,7-phenanthroline as potent inhibitors of Candida growth
Authors: Savić, Nada
Vojnovic, Sandra
Glišić, Biljana
Crochet, Aurelien
Pavic A.
Janjić G.
Pekmezovic M.
Opsenica, Igor
Fromm K.
Nikodinovic-Runic, Jasmina
Djuran, Miloš
Journal: European Journal of Medicinal Chemistry
Issue Date: 5-Aug-2018
Abstract: © 2018 Elsevier Masson SAS Mononuclear silver(I) complexes with 1,7-phenanthroline (1,7-phen), [Ag(NO3-O,O′) (1,7-phen-N7)2] (1) and [Ag(1,7-phen-N7)2]X, X = ClO4− (2), CF3SO3− (3), BF4− (4) and SbF6− (5) were synthesized and structurally characterized by NMR (1H and 13C), IR and UV–Vis spectroscopy and ESI mass spectrometry. The crystal structures of 1, 3 and 4 were determined by single-crystal X-ray diffraction analysis. In all these complexes, 1,7-phen coordinates to the Ag(I) ion in a monodentate fashion via the less sterically hindered N7 nitrogen atom. The investigation of the solution stability of 1–5 in DMSO revealed that they are sufficiently stable in this solvent at room temperature. Complexes 1–5 showed selectivity towards Candida spp. in comparison to bacteria, effectively inhibiting the growth of four different Candida species with minimal inhibitory concentrations (MIC) between 1.2 and 11.3 μM. Based on the lowest MIC values and the lowest cytotoxicity against healthy human fibroblasts with selectivity index of more than 30, the antifungal potential was examined in detail for the complex 1. It had the ability to attenuate C. albicans virulence and to reduce epithelial cell damage in the cell infection model. Induction of reactive oxygen species (ROS) response has been detected in C. albicans, with fungal DNA being one of the possible target biomolecules. The toxicity profile of 1 in the zebrafish model (Danio rerio) revealed improved safety and activity in comparison to that of clinically utilized silver(I) sulfadiazine.
URI: https://scidar.kg.ac.rs/handle/123456789/8533
Type: Article
DOI: 10.1016/j.ejmech.2018.07.049
ISSN: 02235234
SCOPUS: 85050292358
Appears in Collections:Faculty of Science, Kragujevac
Institute for Information Technologies, Kragujevac
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