The effect of CYP2C19 activity on pharmacokinetics of lansoprazole and its active metabolites in healthy subjects

Performance Verification of CYP2C19 Enzyme Abundance Polymorphism Settings within the Simcyp Simulator v21

Physiologically based pharmacokinetic (PBPK) modeling has a number of applications, including assessing drug−drug interactions (DDIs) in polymorphic populations, and should be iteratively refined as science progresses. The Simcyp Simulator is annually updated and version 21 included updates to hepatic and intestinal CYP2C19 enzyme abundance, including addition of intermediate and rapid metabolizer phenotypes and changes to the ultra-rapid metabolizer enzyme abundance, with implications for population clearance and DDI predictions. This work details verification of the updates with sensitive CYP2C19 substrates, omeprazole and lansoprazole, using available clinical data from literature. Multiple assessments were performed, including recovery of areas under the concentration-time curve (AUC) and Cmax from compiled datasets for each drug, recovery of victim DDI ratios with CYP2C19 and/or CYP3A4 inhibition and recovery of relative exposure between phenotypes. Simulated data were within respective acceptance criteria for >80% of omeprazole AUC values, >70% of lansoprazole AUC and Cmax, >60% of AUC and Cmax DDI ratios and >80% of exposure ratios between different phenotypes. Recovery of omeprazole Cmax was lower (>50−70% within 2-fold) and possibly attributed to the variety of formulations used in the clinical dataset. Overall, the results demonstrated that the updated data used to parameterize CYP2C19 phenotypes reasonably described the pharmacokinetics of omeprazole and lansoprazole in genotyped or phenotyped individuals.

Impact of Gastric H+/K+-ATPase rs2733743 on the Intragastric pH-Values of Dexlansoprazole Injection in Chinese Subjects

Background: Not all patients with acid-related disorders receiving proton pump inhibitor (PP) treatment get adequate gastric pH control. The genetic variation of receptors, metabolic enzymes, and transporters are known to cause failures of therapies. We have conducted a study to evaluate the influence of gastric H⁺/K⁺-ATPase, CYP2C19, and ABCB1 polymorphisms on the pharmacokinetic and pharmacodynamic profiles of dexlansoprazole injection in healthy Chinese subjects.

Methods: A total of 51 subjects were enrolled for pharmacokinetic and pharmacodynamic study after a single intravenous administration of 20 or 30 mg dexlansoprazole. Plasma concentrations were determined using a chiral liquid chromatography-mass spectrometry method. The intragastric pH and baseline-adjusted intragastric pH parameters were introduced to evaluate the pharmacodynamic characters. Genotyping was performed by polymerase chain reaction.

Results: The pharmacokinetic parameters were significantly influenced by CYP2C19 phenotypes, and gastric acid secretion inhibition were affected by both gastric H⁺/K⁺-ATPase and CYP2C19 polymorphisms. Gastric H⁺/K⁺-ATPase genotypes had greater effects than CYP2C19 genotypes on the suppression of gastric acid secretion.

Conclusion: Gastric H⁺/K⁺-ATPase polymorphism may be one of the main reasons that cause insufficient gastric acid inhibition.

Pharmacokinetic properties of two erlotinib 150 mg formulations with a genetic effect evaluation in healthy Korean subjects

BACKGROUND AND OBJECTIVE

Erlotinib is a drug used to treat non-small cell lung cancer, pancreatic cancer and several other types of cancer. It is a reversible tyrosine kinase inhibitor that acts on the epidermal growth factor receptor and inhibits cell proliferation, growth, migration, invasion and survival. This study was performed for the subsequent marketing of a test erlotinib formulation in Korea. We evaluated the comparative bioavailability and tolerability of the test and reference formulations in healthy adult volunteers.

METHODS

A total of 46 healthy male subjects were enrolled in a single-dose, randomized, open-label, two-period, two-sequence, crossover, bioequivalence study. During each treatment period, subjects received 150 mg of erlotinib in either the test or reference formulation. There was a 2-week washout period between each period. Blood samples were obtained 15 times during each period, before dosing and 0.5, 1, 1.5, 2, 2.5, 3, 4, 6, 8, 12, 24, 48, 72 and 96 h after oral administration. Plasma concentrations of erlotinib were determined using liquid chromatography-tandem mass spectrometry. Pharmacokinetic parameters, including maximum plasma concentration (C(max)), area under the plasma concentration-time curve to the last sampling time (AUC(t)), AUC from time zero to infinity (AUC(∞)), and time to reach C(max) (t(max)), were measured, and all treatment-emergent adverse events and their relationships with the study medications were recorded throughout the study. An additional analysis was performed to characterize the association between the cytochrome P450 (CYP) 1A1, CYP1A2 and CYP3A4 genotypes and the erlotinib pharmacokinetic parameters.

RESULTS

A total of 41 subjects completed the study. There were no significant differences in the prevalence of adverse events between the two formulations, and there were no serious or unexpected adverse events during the study. Both formulations had very similar C(max), AUC, terminal half-life (t ½) and t(max) values. The 90% confidence intervals of the geometric least-squares mean ratios of the test to reference formulation were 1.09 (0.98-1.22) for C(max) and 1.10 (1.01-1.21) for AUCt. Statistical significance was observed between the CYP1A2*1M genotype and the erlotinib pharmacokinetic parameter, particularly C(max) (p = 0.015).

CONCLUSIONS

This study suggests that the test and reference formulations of 150 mg erlotinib have similar pharmacokinetic characteristics. Both had no major safety issues and were well-tolerated. The test formulation met the regulatory criteria for assuming bioequivalence to the reference formulation for both AUCt and C max. The additional genetic analysis demonstrated that the major metabolic enzymes of erlotinib did not significantly affect erlotinib metabolism, with the exception of CYP1A2*1M.