Assessment of in vivo organ-uptake and in silico prediction of CYP mediated metabolism of DA-Phen, a new dopaminergic agent. (December 2017)

• Record Type: Journal Article
• Authors: Sutera, Flavia Maria; Giannola, Libero Italo; Murgia, Denise; De Caro, Viviana
• Is Part Of: Computational biology and chemistry. Volume 71(2017)
• Page Start: 63
• Page End: 69
• Publication Date: 2017-12
• Subjects: Brain homogenate analysis -- Organ uptake -- Da-Phen -- SMARTCyp prediction -- in silico metabolism prediction; Chemistry -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; Biochemistry -- Data processing; Biology -- Data processing; Molecular biology -- Data processing; Periodicals; Electronic journals; 542.85
• DOI: 10.1016/j.compbiolchem.2017.09.012
• Languages: English
• ISSNs: 1476-9271

Abstract

Graphical abstract: Highlights: After i.p. administration DA-Phen recovery from Wistar rats' organs has been determined. DA-Phen quantified in rats' brain proves its ability to cross BBB and reach the CNS. SMARTCyp predicts six sites of lysis for DA-Phen but none concerns the amide bond. DA-Phen acts as dopaminergic modulator per se, not as a Dopamine prodrug. Abstract: The drug development process strives to predict metabolic fate of a drug candidate, together with its uptake in major organs, whether they act as target, deposit or metabolism sites, to the aim of establish a relationship between the pharmacodynamics and the pharmacokinetics and highlight the potential toxicity of the drug candidate. The present study was aimed at evaluating the in vivo uptake of 2-Amino-N-[2-(3, 4-dihydroxy-phenyl)-ethyl]-3-phenyl-propionamide (DA-Phen) − a new dopaminergic neurotransmission modulator, in target and non-target organs of animal subjects and integrating these data with SMARTCyp results, an in silico method that predicts the sites of cytochrome P450-mediated metabolism of drug-like molecules. Wistar rats, subjected to two different behavioural studies in which DA-Phen was intraperitoneally administrated at a dose equal to 0.03 mmol/kg, were sacrificed after the experimental protocols and their major organs were analysed to quantify the drug uptake. The data obtained were integrated with in silico prediction of potential metabolites of DA-Phen using the SmartCYP predictive tool. DA-Phen reached quantitatively the Central Nervous System and the results showed that the amide bond of the DA-Phen is scarcely hydrolysed as it was found intact in analyzed organs. As a consequence, it is possible to assume that DA-Phen acts as dopaminergic modulator per se and not as a Dopamine prodrug, thus avoiding peripheral release and toxic side effects due to the endogenous neurotransmitter. Furthermore the identification of potential metabolites related to biotransformation of the drug candidate leads to a more careful evaluation of the appropriate route of administration for future intended therapeutic aims and potential translation into clinical studies.