Metabolic Impact of Anticancer Drugs Pd 2 Spermine and Cisplatin on the Brain of Healthy Mice.
Tatiana J CarneiroMartin VojtekSalomé Gonçalves-MonteiroJoão R NevesAna L M Batista de CarvalhoMaria Paula M MarquesCarmen DinizAna I GilPublished in: Pharmaceutics (2022)
The new palladium agent Pd 2 Spermine (Spm) has been reported to exhibit promising cytotoxic properties, while potentially circumventing the known disadvantages associated to cisplatin therapeutics, namely acquired resistance and high toxicity. This work presents a nuclear magnetic resonance (NMR) metabolomics study of brain extracts obtained from healthy mice, to assess the metabolic impacts of the new Pd 2 Spm complex in comparison to that of cisplatin. The proton NMR spectra of both polar and nonpolar brain extracts were analyzed by multivariate and univariate statistics, unveiling several metabolite variations during the time course of exposition to each drug (1-48 h). The distinct time-course dependence of such changes revealed useful information on the drug-induced dynamics of metabolic disturbances and recovery periods, namely regarding amino acids, nucleotides, fatty acids, and membrane precursors and phospholipids. Putative biochemical explanations were proposed, based on existing pharmacokinetics data and previously reported metabolic responses elicited by the same metal complexes in the liver of the same animals. Generally, results suggest a more effective response of brain metabolism towards the possible detrimental effects of Pd 2 Spm, with more rapid recovery back to metabolites' control levels and, thus, indicating that the palladium drug may exert a more beneficial role than cDDP in relation to brain toxicity.
Keyphrases
- magnetic resonance
- drug induced
- resting state
- white matter
- liver injury
- functional connectivity
- fatty acid
- cerebral ischemia
- oxidative stress
- multiple sclerosis
- high fat diet induced
- high resolution
- mass spectrometry
- amino acid
- adipose tissue
- healthcare
- type diabetes
- small molecule
- insulin resistance
- adverse drug
- electronic health record
- brain injury
- machine learning
- metabolic syndrome
- data analysis
- skeletal muscle
- gold nanoparticles
- big data
- contrast enhanced