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Drug Testing and Analysis
Article
License: CC BY NC ND
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Drug Testing and Analysis
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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A further insight into the metabolic profile of the nuclear receptor Rev‐erb agonist, SR9009

Authors: Monica Mazzarino; Nikla Rizzato; Carlotta Stacchini; Xavier de la Torre; Francesco Botrè;

A further insight into the metabolic profile of the nuclear receptor Rev‐erb agonist, SR9009

Abstract

AbstractThe reactions involved in the metabolic pathways of SR9009 were characterized by liquid chromatography–mass spectrometry (LC–MS) to identify the most appropriate marker(s) of use. The effects of gender, genetic polymorphism, and drug–drug interaction on the metabolic profile of SR9009 were also evaluated. In vitro approaches were based on the use of human liver microsomes and cytochrome P450 isoforms. Sample preparation included an enzymatic hydrolysis (performed only for the phase II investigation) followed by liquid–liquid extraction. The chromatographic separation was carried out using a reverse‐phase column; detection was performed by either a triple‐quadrupole or a time‐of‐flight system in positive electrospray ionization and different acquisition modes. In the presence of human liver microsomes, SR9009 was biotransformed to 13 metabolites by CYP3A4, CYP3A5, CYP2C19, and CYP2D6 isoenzymes. The reactions included hydroxylation, de‐alkylation, oxidation, and combinations thereof, the de‐alkylated metabolites being the most abundant. Once formed the mentioned metabolites underwent glucuronidation. Concerning the effects of gender, genetic polymorphism, and drug–drug interaction on the metabolic profile of SR9009, our observation have shown the following: (a) No significant alterations were measured between female and male, (b) significant differences were registered using either the CYP2D6 or CYP2C19 allelic variants, and finally (c) significant alterations were registered in the presence of ketoconazole, miconazole, fluoxetine, nefazodone and paroxetine; moderate variation were instead registered with fluconazole, itraconazole, gestodene, and levonorgestrel. This observation put in evidence the importance to take into account both genetic polymorphism and drug–drug interaction to select the most appropriate marker(s) of use in doping analysis.

Country
Italy
Keywords

Male, Polymorphism, Genetic, Pyrrolidines, anti-doping analysis; antifungals; drug–drug interaction; genetic polymorphism; Rev-erb SR9009; Chromatography, High Pressure Liquid; Cytochrome P-450 Enzyme System; Drug Interactions; Female; Humans; Male; Microsomes, Liver; Nuclear Receptor Subfamily 1, Group D, Member 1; Polymorphism, Genetic; Pyrrolidines; Tandem Mass Spectrometry; Thiophenes; Metabolome, Thiophenes, Cytochrome P-450 Enzyme System, Tandem Mass Spectrometry, Nuclear Receptor Subfamily 1, Group D, Member 1, Metabolome, Microsomes, Liver, anti-doping analysis; antifungals; drug–drug interaction; genetic polymorphism; Rev-erb SR9009; Chromatography; High Pressure Liquid; Cytochrome P-450 Enzyme System; Drug Interactions; Female; Humans; Male; Microsomes; Liver; Nuclear Receptor Subfamily 1; Group D; Member 1; Polymorphism; Genetic; Pyrrolidines; Tandem Mass Spectrometry; Thiophenes; Metabolome, Humans, Drug Interactions, Female, Chromatography, High Pressure Liquid

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
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