Reactivity and Transformation of Antimetastatic and Cytotoxic Rhodium(III)-Dimethyl Sulfoxide Complexes in Biological Fluids: An XAS Speciation Study.
Jun LiangAviva LevinaJunteng JiaPeter KappenChris GloverBernt JohannessenPeter A LayPublished in: Inorganic chemistry (2019)
Rhodium(III) anticancer drugs can exert preferential antimetastatic or cytotoxic activities, which are dependent on subtle structural changes. In order to delineate factors affecting the biotransformations and speciation, mer,cis-[RhCl3( S-dmso)2( O-dmso)] (A1) and mer,cis-[RhCl3( S-dmso)2(2N-indazole)] (A2) have been studied by X-ray absorption spectroscopy (XAS). Interactions of these complexes with saline buffer, cell culture media, serum proteins (albumin and apo-transferrin), native and chemically degraded collagen gels, and A549 cells have been studied using linear combination fitting (LCF) and 3D scatter plots of XAS data. Following initial aquation and hydrolysis reactions involving stepwise displacement of Cl- and S-/ O-dmso ligands, the Rh(III) complexes underwent further ligand substitution reactions with biological nucleophiles (e.g., amino acid residues of serum proteins). The reaction of A1 with chemically degraded collagen gel was postulated to be a key reason for its antimetastatic activity. Analyses of the XAS of Rh-treated bulk cells were consistent with structure-reactivity relationships in which the more reactive A1 was predominantly antimetastatic and the less reactive A2 was predominantly cytotoxic, showing relationships parallel to typical Ru(III) anticancer agents, i.e., NAMI-A ([ImH] trans-[RuCl4( S-dmso)( N-imidazole)2], ImH = imidazolium cation) and KP1019/NKP1339 (KP1019, [IndH] trans-[RuCl4(N-indazole)2], IndH = indazolium cation; NKP1339, sodium trans-[RuCl4(2N-indazole)2]), respectively.
Keyphrases
- induced apoptosis
- ionic liquid
- cell cycle arrest
- high resolution
- amino acid
- wound healing
- oxidative stress
- endoplasmic reticulum stress
- electronic health record
- computed tomography
- african american
- machine learning
- magnetic resonance imaging
- artificial intelligence
- cell proliferation
- tissue engineering
- nk cells
- drug induced
- data analysis
- organic matter
- contrast enhanced
- anaerobic digestion