Imatinib has been successful in the management of chronic myeloid leukemia (CML) but some patients experience adverse reactions or develop resistance to its use. The roles of some polymorphisms in genes encoding enzymes critical for the biotransformation of imatinib have been previously examined. This study, hence, evaluated some other unstudied functionally significant polymorphisms in CYP1A2, CYP2C8, CYP2C9, and CYP3A5. Trough imatinib blood levels and genotypes were determined in 42 CML patients by an HPLC-UV technique and a Sequenom iPLEX assay, respectively. Statistical analysis of the influence of genetic polymorphisms on standardized trough level detected no significant relationship. However, higher trough levels were observed in two homozygous carriers of CYP2C8*2 while diminished imatinib levels were seen in two homozygous carriers of CYP3A5*7. The study findings suggest that polymorphisms in drug metabolizing enzymes may be significant for imatinib therapy only in instances where all copies of the relevant studied genes are functionally impaired.
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http://dx.doi.org/10.1080/10428194.2018.1466291 | DOI Listing |
Food Saf (Tokyo)
December 2024
Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
A Template system for the understanding of human CYP2J2-mediated reactions was constructed from the assembly of the ligands with the introduction of ideas of allowable width, Trigger-residue and the residue-initiated movement of ligands in the active site, which were in common with other Template* systems for human CYP1A1, CYP1A2, CYP2B6, CYP2C8, CYP2C9, CYP2C18, CYP2C19, CYP2E1, CYP3A4, CYP3A5, and CYP3A7 (Drug Metab Pharmacokinet 2016, 2017, 2019, 2020, 2021, 2022, 2023, 2024, and in press 2024). CYP2J2 system also includes ideas of bi-molecule binding of ligands on the Template. From their placements on the Template and rules for interaction modes, verifications of good and poor substrates, regio/stereo-selectivity, and inhibitory interaction became available faithfully for these ligands.
View Article and Find Full Text PDFClin Pharmacol Drug Dev
December 2024
Gossamer Bio, Inc., San Diego, CA, USA.
Seralutinib, an inhaled, small-molecule tyrosine kinase inhibitor in clinical development for the treatment of pulmonary arterial hypertension (PAH), was evaluated for its potential as a perpetrator or victim of a metabolic and transporter-based drug-drug interactions in 2 phase 1 studies. In study 1, 24 participants received a cocktail of probe substrates: caffeine (CYP1A2), montelukast (CYP2C8), flurbiprofen (CYP2C9), midazolam (CYP3A), and pravastatin (OATP1B1/1B3), plus digoxin (P-gp) with or without seralutinib. In study 2, 19 participants received seralutinib with/without itraconazole, a strong CYP3A inhibitor, or fosaprepitant, a weak CYP3A inhibitor.
View Article and Find Full Text PDFCells
November 2024
Independent Researcher, 108815 Moscow, Russia.
Background: Cytochromes P450 (CYPs) are heme-containing oxidoreductase enzymes with mono-oxygenase activity. Human CYPs catalyze the oxidation of a great variety of chemicals, including xenobiotics, steroid hormones, vitamins, bile acids, procarcinogens, and drugs.
Findings: In our review article, we discuss recent data evidencing that the same CYP isoform can be involved in both bioactivation and detoxification reactions and convert the same substrate to different products.
Metabolites
September 2024
Center of Excellence in Drug Interaction Science, Certara USA, 4 Radnor Corporate Center, Suite 350, Radnor, PA 19087, USA.
Background/objectives: Index substrates are used to understand the processes involved in pharmacokinetic (PK) drug-drug interactions (DDIs). The aim of this analysis is to review metabolite measurement in clinical DDI studies, focusing on index substrates for cytochrome P450 (CYP) enzymes, including CYP1A2 (caffeine), CYP2B6 (bupropion), CYP2C8 (repaglinide), CYP2C9 ((S)-warfarin, flurbiprofen), CYP2C19 (omeprazole), CYP2D6 (desipramine, dextromethorphan, nebivolol), and CYP3A (midazolam, triazolam).
Methods: All data used in this evaluation were obtained from the Certara Drug Interaction Database.
Chem Res Toxicol
November 2024
Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 4228526, Japan.
The prediction of cytochrome P450 inhibition by a computational (quantitative) structure-activity relationship approach using chemical structure information and machine learning would be useful for toxicity research as a simple and rapid tool. However, there are few models focusing on the species differences between rat and human in the P450s inhibition. This study aimed to establish models to classify chemical substances as inhibitors or non-inhibitors of various rat and human P450s, using only molecular descriptors.
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