Lack of a clinically significant interaction of grapefruit juice with ambrisentan and bosentan in healthy adults.

OBJECTIVE: We assessed the effect of 1 x 300 mL/d and 3 x 300 mL/d grapefruit juice (GFJ) on ambrisentan and bosentan pharmacokinetics in healthy volunteers. METHODS: In the ambrisentan study, 12 healthy extensive metabolizers (EM) of CYP2C19 received therapeutic doses of ambrisentan (5 mg q.d. on study days 1 - 11) and GFJ (1 x 300 mL/d on study days 6 - 8 and 3 x 300 mL/d on study days 9 - 11). Ambrisentan pharmacokinetics was assessed on study days 5, 8, and 11. In the bosentan study, 16 healthy EM of CYP2C9, who were stratified into two groups (CYP3A5 expressors (n = 8) and CYP3A5 non-expressors (n = 8)), received bosentan (125 mg b.i.d. on study days 1 - 13) and GFJ (1 x 300 mL/d on study days 8 - 10 and 3 x 300 mL/d on study days 11 - 13). Bosentan pharmacokinetics was assessed on study days 7, 10, and 13. RESULTS: Whereas 1 x 300 mL/d GFJ had no effect on the pharmacokinetics of ambrisentan and its metabolite, 3 x 300 mL/d GFJ increased the exposure with ambrisentan by 8% and the molar plasma metabolic ratio by 22% (both p < 0.05). Correspondingly, the apparent oral clearance of ambrisentan decreased to 92% (p < 0.05). GFJ slightly prolonged t(max) of bosentan and increased the metabolic ratio of bosentan/hydroxy-bosentan by 19% (p < 0.05). CONCLUSION: GFJ had no clinically relevant effect on the pharmacokinetics or safety profile of ambrisentan and bosentan. Therefore, no dose adjustments are needed, and GFJ can be safely co-administered even at very high doses.

Influence of St. John's wort on the steady-state pharmacokinetics and metabolism of bosentan.

OBJECTIVE: We assessed the effect of St. John's wort (SJW) on bosentan pharmacokinetics at steady-state in different CYP2C9 genotypes in healthy volunteers. METHODS: Nine healthy extensive metabolizers of CYP2C9 and 4 poor metabolizers received therapeutic doses of bosentan (125 mg q.d. on study day 1; 62.5 mg b.i.d. on study day 2, 125 mg b.i.d. on study days 3 - 20) for 20 days and SJW (300 mg t.i.d.) concomitantly for the last 10 days. Bosentan pharmacokinetics was assessed on days 1, 10, and 20. Concurrently, we repeatedly quantified changes of CYP3A activity using low dosed midazolam (3 mg p.o.) as a probe drug. RESULTS: Due to auto-induction of its metabolism, Cl/F increased by 67%, thus significantly lowering bosentan exposure (AUC) to 60% after 10 days of bosentan administration (n = 13, p < 0.05). Concurrently, midazolam clearance (CYP3A activity) increased by 224% (n = 13, p < 0.05) and further increased after SJW by 374% compared to baseline (n = 13, p < 0.05). SJW increased midazolam clearance by 47% (n = 13, p < 0.05) but failed to alter bosentan exposure and clearance consistently. No significant differences in bosentan exposure and clearance changes were observed in CYP2C9 poor metabolizers. CONCLUSION: SJW increased CYP3A activity but had no consistent effect on bosentan clearance. However, inter-individual changes of the interaction were large, suggesting that close monitoring of bosentan effects may be advisable. The contribution of CYP2C9 to this interaction seems to be minor.

Clarithromycin substantially increases steady-state bosentan exposure in healthy volunteers.

AIMS: The aim of this study was to assess the effect of the cytochrome P450 (CYP) 3A4 and organic anion-transporting polypeptide (OATP) 1B1 inhibitor clarithromycin on the pharmacokinetics of bosentan. We also aimed to evaluate the impact of CYP2C9 and SLCO1B1 (encoding for OATP1B1) genotypes and their combination. METHODS: We assessed the effect of the OATP and CYP3A inhibitor clarithromycin on bosentan pharmacokinetics at steady state and concurrently quantified changes of CYP3A activity using midazolam as a probe drug. Sixteen healthy volunteers received therapeutic doses of bosentan (125 mg twice daily) for 14 days and clarithromycin (500 mg twice daily) concomitantly for the last 4 days, and bosentan pharmacokinetics was assessed on days 1, 10 and 14. RESULTS: Clarithromycin significantly increased bosentan area under the plasma concentration-time curve of the dosing interval 3.7-fold and peak concentration 3.8-fold in all participants irrespective of the genotype. Clarithromycin also reduced CYP3A activity (midazolam clearance) in all participants; however, these changes were not correlated to the changes of bosentan clearance. CONCLUSIONS: Clarithromycin substantially increases the exposure to bosentan, suggesting that dose reductions may be necessary.

Importance of ethnicity, CYP2B6 and ABCB1 genotype for efavirenz pharmacokinetics and treatment outcomes: a parallel-group prospective cohort study in two sub-Saharan Africa populations.

OBJECTIVES: We evaluated the importance of ethnicity and pharmacogenetic variations in determining efavirenz pharmacokinetics, auto-induction and immunological outcomes in two African populations. METHODS: ART naïve HIV patients from Ethiopia (n = 285) and Tanzania (n = 209) were prospectively enrolled in parallel to start efavirenz based HAART. CD4+ cell counts were determined at baseline, 12, 24 and 48 weeks. Plasma and intracellular efavirenz and 8-hydroxyefvairenz concentrations were determined at week 4 and 16. Genotyping for common functional CYP2B6, CYP3A5, ABCB1, UGT2B7 and SLCO1B1 variant alleles were done. RESULT: Patient country, CYP2B6*6 and ABCB1 c.4036A>G (rs3842A>G) genotype were significant predictors of plasma and intracellular efavirenz concentration. CYP2B6*6 and ABCB1 c.4036A>G (rs3842) genotype were significantly associated with higher plasma efavirenz concentration and their allele frequencies were significantly higher in Tanzanians than Ethiopians. Tanzanians displayed significantly higher efavirenz plasma concentration at week 4 (p<0.0002) and week 16 (p = 0.006) compared to Ethiopians. Efavirenz plasma concentrations remained significantly higher in Tanzanians even after controlling for the effect of CYP2B6*6 and ABCB1 c.4036A>G genotype. Within country analyses indicated a significant decrease in the mean plasma efavirenz concentration by week 16 compared to week 4 in Tanzanians (p = 0.006), whereas no significant differences in plasma concentration over time was observed in Ethiopians (p = 0.84). Intracellular efavirenz concentration and patient country were significant predictors of CD4 gain during HAART. CONCLUSION: We report substantial differences in efavirenz pharmacokinetics, extent of auto-induction and immunologic recovery between Ethiopian and Tanzanian HIV patients, partly but not solely, due to pharmacogenetic variations. The observed inter-ethnic variations in efavirenz plasma exposure may possibly result in varying clinical treatment outcome or adverse event profiles between populations.

Steady-state pharmacokinetics and metabolism of voriconazole in patients.

OBJECTIVES: Voriconazole exhibits non-linear pharmacokinetics in adults and is said to be mainly metabolized by CYP2C19 and CYP3A4 to voriconazole-N-oxide. The aim of this study was to obtain data on steady-state pharmacokinetics after dosing for at least 14 days in patients taking additional medication and in vivo data on metabolites other than voriconazole-N-oxide. PATIENTS AND METHODS: Thirty-one patients receiving voriconazole as regular therapeutic drug treatment during hospitalization participated in this prospective study. Pharmacokinetic profiles were obtained for the 12 h (dosing interval) after the first orally administered dose (400 mg) or (if possible and) after an orally administered maintenance dose (200 mg) following intake for at least 14 days (n = 14 after first dose; n = 23 after maintenance dose). Blood and urine samples were collected and the concentrations of voriconazole and three of its metabolites (the N-oxide, hydroxy-voriconazole and dihydroxy-voriconazole) were determined, as well as the CYP2C19 genotype of the patients. All other drugs taken by the participating patients were evaluated. RESULTS: A high variability of exposure (AUC) after the first dose was slightly reduced during steady-state dosing for voriconazole (82% to 71%) and the N-oxide (86% to 56%), remained high for hydroxy-voriconazole (79%) and even increased for dihydroxy-voriconazole (97% to 127%). In 16 of the 22 steady-state patients, trough plasma concentrations were <2 µg/mL. N-oxide plasma concentrations during steady state stayed almost constant. Hydroxylations of voriconazole seem to be quantitatively more important in its metabolism than N-oxidation. CONCLUSIONS: High variability in voriconazole exposure, as well as low steady-state trough plasma concentrations, suggest that the suggested steady-state dosage of 200 mg twice a day has to be increased to prevent disease progression. Therapeutic drug monitoring is probably necessary to optimize the voriconazole dose for individual patients.

Trimethoprim-metformin interaction and its genetic modulation by OCT2 and MATE1 transporters.

AIMS: Metformin pharmacokinetics depends on the presence and activity of membrane-bound drug transporters and may be affected by transport inhibitors. The aim of this study was to investigate the effects of trimethoprim on metformin pharmacokinetics and genetic modulation by organic cation transporter 2 (OCT2) and multidrug and toxin extrusion 1 (MATE1) polymorphisms. METHODS: Twenty-four healthy volunteers received metformin 500 mg three times daily for 10 days and trimethoprim 200 mg twice daily from day 5 to 10. Effects of trimethoprim on steady-state metformin pharmacokinetics were analysed. RESULTS: In the population as a whole, trimethoprim significantly reduced the apparent systemic metformin clearance (CL/F) from 74 to 54 l h(-1) and renal metformin clearance from 31 to 21 l h(-1) , and prolonged half-life from 2.7 to 3.6 h (all P < 0.01). This resulted in an increase in the maximal plasma concentration by 38% and in the area under the plasma concentration-time curve by 37%. In volunteers polymorphic for both OCT2 and MATE1, trimethoprim had no relevant inhibitory effects on metformin kinetics. Trimethoprim was associated with a decrease in creatinine clearance from 133 to 106 ml min(-1) (P < 0.01) and an increase in plasma lactate from 0.94 to 1.2 mmol l(-1) (P = 0.016). CONCLUSIONS: The extent of inhibition by trimethoprim was moderate, but might be clinically relevant in patients with borderline renal function or high-dose metformin.

Influence of sildenafil and tadalafil on the enzyme- and transporter-inducing effects of bosentan and ambrisentan in LS180 cells.

The combinations of the endothelin-1 receptor antagonists bosentan or ambrisentan with the phosphodiesterase 5 inhibitors sildenafil or tadalafil are current standard therapies of advanced pulmonary arterial hypertension. However, these drugs have a number of drug interactions. Changes of bosentan pharmacokinetics by sildenafil are attributed to reduced hepatic uptake as a consequence of inhibition of organic anion transporting polypeptides. We therefore tested in vitro the hypothesis that sildenafil and tadalafil reduce the enzyme- and transporter-inducing effects of bosentan or ambrisentan by preventing cellular access. Although intracellular concentrations of bosentan and ambrisentan (measured by high pressure liquid chromatography coupled with tandem mass-spectrometry) after four days of incubation of LS180 cells were lower when sildenafil or tadalafil were present, quantification of mRNA expression in these cells by real-time reverse transcription polymerase chain reaction revealed that bosentan and ambrisentan-mediated induction was stable or even increased in combination with sildenafil or tadalafil. For the drug transporter P-glycoprotein this was confirmed at the protein and functional level with highly significant correlations between P-gp mRNA, protein, and function. Moreover, using a reporter gene assay in LS180 cells, our study demonstrates for the first time that tadalafil is a potent, ambrisentan a weak, and sildenafil no activator of pregnane X receptor. In conclusion, our study demonstrates that although sildenafil and tadalafil indeed reduce intracellular concentrations of bosentan and ambrisentan in LS180 cells, they do not mitigate the inducing effects of these endothelin-1 receptor antagonists.

Liver enzyme abnormalities and associated risk factors in HIV patients on efavirenz-based HAART with or without tuberculosis co-infection in Tanzania.

OBJECTIVES: To investigate the timing, incidence, clinical presentation, pharmacokinetics and pharmacogenetic predictors for antiretroviral and anti-tuberculosis drug induced liver injury (DILI) in HIV patients with or without TB co-infection. METHODS AND FINDINGS: A total of 473 treatment naïve HIV patients (253 HIV only and 220 with HIV-TB co-infection) were enrolled prospectively. Plasma efavirenz concentration and CYP2B6*6, CYP3A5*3, *6 and *7, ABCB1 3435C/T and SLCO1B1 genotypes were determined. Demographic, clinical and laboratory data were collected at baseline and up to 48 weeks of antiretroviral therapy. DILI case definition was according to Council for International Organizations of Medical Sciences (CIOMS). Incidence of DILI and identification of predictors was evaluated using Cox Proportional Hazards Model. The overall incidence of DILI was 7.8% (8.3 per 1000 person-week), being non-significantly higher among patients receiving concomitant anti-TB and HAART (10.0%, 10.7 per 1000 person-week) than those receiving HAART alone (5.9%, 6.3 per 1000 person-week). Frequency of CYP2B6*6 allele (p = 0.03) and CYP2B6*6/*6 genotype (p = 0.06) was significantly higher in patients with DILI than those without. Multivariate cox regression model indicated that CYP2B6*6/*6 genotype and anti-HCV IgG antibody positive as significant predictors of DILI. Median time to DILI was 2 weeks after HAART initiation and no DILI onset was observed after 12 weeks. No severe DILI was seen and the gain in CD4 was similar in patients with or without DILI. CONCLUSIONS: Antiretroviral and anti-tuberculosis DILI does occur in our setting, presenting early following HAART initiation. DILI seen is mild, transient and may not require treatment interruption. There is good tolerance to HAART and anti-TB with similar immunological outcomes. Genetic make-up mainly CYP2B6 genotype influences the development of efavirenz based HAART liver injury in Tanzanians.

Contribution of CYP2C19 and CYP3A4 to the formation of the active nortilidine from the prodrug tilidine.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: The analgesic activity of tilidine is mediated by its active metabolite, nortilidine, which easily penetrates the blood-brain barrier and binds to the µ-opioid receptor as a potent agonist. Tilidine undergoes an extensive first-pass metabolism, which has been suggested to be mediated by CYP3A4 and CYP2C19; furthermore, strong inhibition of CYP3A4 and CYP2C19 by voriconazole increased exposure of nortilidine, probably by inhibition of further metabolism. The novel CYP2C19 gene variant CYP2C19*17 causes ultrarapid drug metabolism, in contrast to the *2 and *3 variants, which result in impaired drug metabolism. WHAT THIS STUDY ADDS: Using a panel study with CYP2C19 ultrarapid and poor metabolizers, a major contribution of polymorphic CYP2C19 on tilidine metabolic elimination can be excluded. The potent CYP3A4 inhibitor ritonavir alters the sequential metabolism of tilidine, substantially reducing the partial metabolic clearances of tilidine to nortilidine and nortilidine to bisnortilidine, which increases the nortilidine exposure twofold. The lowest clearance in overall tilidine elimination is the N-demethylation of nortilidine to bisnortilidine. Inhibition of this step leads to accumulation of the active nortilidine. AIMS: To investigate in vivo the effect of the CYP2C19 genotype on the pharmacokinetics of tilidine and the contribution of CYP3A4 and CYP2C19 to the formation of nortilidine using potent CYP3A4 inhibition by ritonavir. METHODS: Fourteen healthy volunteers (seven CYP2C19 poor and seven ultrarapid metabolizers) received ritonavir orally (300 mg twice daily) for 3 days or placebo, together with a single oral dose of tilidine and naloxone (100 mg and 4 mg, respectively). Blood samples and urine were collected for 72 h. Noncompartmental analysis was performed to determine pharmacokinetic parameters of tilidine, nortilidine, bisnortilidine and ritonavir. RESULTS: Tilidine exposure increased sevenfold and terminal elimination half-life fivefold during ritonavir treatment, but no significant differences were observed between the CYP2C19 genotypes. During ritonavir treatment, nortilidine area under the concentration-time curve was on average doubled, with no differences between CYP2C19 poor metabolizers [2242 h ng ml(-1) (95% confidence interval 1811-2674) vs. 996 h ng ml(-1) (95% confidence interval 872-1119)] and ultrarapid metabolizers [2074 h ng ml(-1) (95% confidence interval 1353-2795) vs. 1059 h ng ml(-1) (95% confidence interval 789-1330)]. The plasma concentration-time curve of the secondary metabolite, bisnortilidine, showed a threefold increase of time to reach maximal observed plasma concentration; however, area under the concentration-time curve was not altered by ritonavir. CONCLUSIONS: The sequential metabolism of tilidine is inhibited by the potent CYP3A4 inhibitor, ritonavir, independent of the CYP2C19 genotype, with a twofold increase in the exposure of the active nortilidine.

In vitro identification of the cytochrome P450 isozymes involved in the N-demethylation of the active opioid metabolite nortilidine to bisnortilidine.

Tilidine exhibits the highest consumption of opioids in Germany. The prodrug is hepatically metabolised in a sequential N-demethylation reaction. Its primary metabolite nortilidine is a selective µ-opioid receptor agonist which can penetrate the blood-brain barrier. Cytochrome P450 isozymes (CYP) 3A4 and CYP2C19 were previously identified as isozymes mediating the formation of nortilidine. This study was set up to identify the enzymes and kinetics of the subsequent N-demethylation to bisnortilidine, thus being able to understand clinical interactions. Human liver microsomes and recombinant CYPs were used to investigate the metabolism of nortilidine to bisnortilidine. Nortilidine and bisnortilidine were quantified using liquid chromatography tandem mass spectrometry. Inhibitor screening kits were used to quantify the inhibition of CYP3A4, CYP2C19, CYP2B6 and CYP2D6 by bisnortilidine. Nortilidine metabolism to bisnortilidine followed the Michaelis-Menten kinetics with K (m) = 141.6 ± 15 µM and V (max) = 46.2 ± 3 nmol/mg/h. Inhibitors of CYP3A4, CYP2C19 and CYP2B6 inhibited this reaction. Assays with recombinant CYPs verified that the N-demethylation is catalysed by CYP3A4, CYP2C19 and CYP2B6. Our results also demonstrated that the metabolism from tilidine to nortilidine is not only mediated by CYP3A4 and CYP2C19, but also by CYP2B6. Moreover, bisnortilidine is a weak inhibitor of CYP3A4 and CYP2B6, a strong inhibitor of CYP2D6, but not an inhibitor of CYP2C19. Our study demonstrated that nortilidine is metabolised via the same CYP isozymes as the prodrug tilidine, whereas the formation of bisnortilidine appears to be the rate-limiting step in the metabolism of tilidine. Pharmacokinetic interactions can be expected with inhibitors or inducers of CYP3A4, CYP2C19 or CYP2B6.

Quantification of femtomolar concentrations of the CYP3A substrate midazolam and its main metabolite 1'-hydroxymidazolam in human plasma using ultra performance liquid chromatography coupled to tandem mass spectrometry.

The benzodiazepine midazolam is a probe drug used to phenotype cytochrome P450 3A activity. In this situation, effective sedative concentrations are neither needed nor desired, and in fact the use of very low doses is advantageous. We therefore developed and validated an assay for the femtomolar quantification of midazolam and 1'-hydroxymidazolam in human plasma. Plasma (0.25 mL) and 96-well-based solid-phase extraction were used for sample preparation. Extraction recoveries ranged between 75 and 92% for both analytes. Extracts were chromatographed within 2 min on a Waters BEH C18 1.7 µm UPLC® column with a fast gradient consisting of formic acid, ammonia, and acetonitrile. Midazolam and 1'-hydroxymidazolam were quantified using deuterium- and (13)C-labeled internal standards and positive electrospray tandem mass spectrometry in the multiple reaction monitoring mode, which yielded lower limits of quantification of 50 fg/mL (154 fmol/L) and 250 fg/mL (733 fmol/L) and a corresponding precision of <20%. The calibrated concentration ranges were linear for midazolam (0.05-250 pg/mL) and 1'-hydroxymidazolam (0.25-125 pg/mL), with correlation coefficients of >0.99. Within-batch and batch-to-batch precision in the calibrated ranges for both analytes were <14% and <12%. No ion suppression was detectable, and plasma matrix effects were minimized to <15% (<25%) for midazolam (1'-hydroxymidazolam). The assay was successfully applied to assess the kinetics of midazolam in two human volunteers after the administration of single oral microgram doses (1-100 µg). This ultrasensitive assay allowed us to quantify the kinetics of midazolam and 1'-hydroxymidazolam for at least 10 h, even after the administration of only 1 µg of midazolam.

Pharmacogenetic & pharmacokinetic biomarker for efavirenz based ARV and rifampicin based anti-TB drug induced liver injury in TB-HIV infected patients.

BACKGROUND: Implication of pharmacogenetic variations and efavirenz pharmacokinetics in concomitant efavirenz based antiviral therapy and anti-tubercular drug induced liver injury (DILI) has not been yet studied. We performed a prospective case-control association study to identify the incidence, pharmacogenetic, pharmacokinetic and biochemical predictors for anti-tubercular and antiretroviral drugs induced liver injury (DILI) in HIV and tuberculosis (TB) co-infected patients. METHODS AND FINDINGS: Newly diagnosed treatment naïve TB-HIV co-infected patients (n = 353) were enrolled to receive efavirenz based ART and rifampicin based anti-TB therapy, and assessed clinically and biochemically for DILI up to 56 weeks. Quantification of plasma efavirenz and 8-hydroxyefaviernz levels and genotyping for NAT2, CYP2B6, CYP3A5, ABCB1, UGT2B7 and SLCO1B1 genes were done. The incidence of DILI and identification of predictors was evaluated using survival analysis and the Cox Proportional Hazards Model. The incidence of DILI was 30.0%, or 14.5 per 1000 person-week, and that of severe was 18.4%, or 7.49 per 1000 person-week. A statistically significant association of DILI with being of the female sex (p = 0.001), higher plasma efavirenz level (p = 0.009), efavirenz/8-hydroxyefavirenz ratio (p = 0.036), baseline AST (p = 0.022), ALT (p = 0.014), lower hemoglobin (p = 0.008), and serum albumin (p = 0.007), NAT2 slow-acetylator genotype (p = 0.039) and ABCB1 3435TT genotype (p = 0.001). CONCLUSION: We report high incidence of anti-tubercular and antiretroviral DILI in Ethiopian patients. Between patient variability in systemic efavirenz exposure and pharmacogenetic variations in NAT2, CYP2B6 and ABCB1 genes determines susceptibility to DILI in TB-HIV co-infected patients. Close monitoring of plasma efavirenz level and liver enzymes during early therapy and/or genotyping practice in HIV clinics is recommended for early identification of patients at risk of DILI.

Long-term effect of efavirenz autoinduction on plasma/peripheral blood mononuclear cell drug exposure and CD4 count is influenced by UGT2B7 and CYP2B6 genotypes among HIV patients.

OBJECTIVES: We investigated the long-term effect of efavirenz autoinduction on its plasma/peripheral blood mononuclear cell (PBMC) exposure and the CD4 count, and the importance of sex and pharmacogenetic variations. METHODS: Treatment-naive HIV patients (n = 163) received efavirenz-based antiretroviral therapy. Plasma and intracellular (PBMC) concentrations of efavirenz and 8-hydroxyefavirenz were determined at weeks 4 and 16 of antiretroviral therapy. CD4 count was determined at baseline, and at weeks 12, 24 and 48. Genotyping for CYP2B6*6, CYP3A5*3, CYP3A5*6, CYP3A5*7, ABCB1 3435C/T and UGT2B7 (-327G→A, *2) was done. RESULTS: There was a significant increase in the median plasma (32%) and intracellular (53%) 8-hydroxyefavirenz concentrations with a decrease in the efavirenz metabolic ratio (MR) (calculated by dividing the concentration of efavirenz by that of 8-hydroxyefavirenz) (20% and 5%, respectively) by week 16 compared with at week 4. While the CYP2B6 genotype significantly influenced efavirenz pharmacokinetics at weeks 4 and 16, the effect of the UGT2B7 genotype and sex was significant only at week 16. The Wilcoxon matched pairs test indicated that the change in 8-hydroxyefavirenz concentration and efavirenz MR over time was significant in females and in CYP2B6*1 and UGT2B7*1 carriers. The intracellular 8-hydroxyefavirenz level at week 16 was a negative predictor of the CD4 count at week 24 (P = 0.03) and at week 48 (P = 0.007). CYP2B6 (P = 0.02) and UGT2B7 (P = 0.05) genotypes predicted the CD4 count at week 48. Among CYP2B6*1/*1 and UGT2B7*1/*1 carriers there was no significant change in the mean CD4 count after week 24, while it continuously increased until week 48 in CYP2B6*6 and UGT2B7*2 carriers. CONCLUSIONS: The effects of long-term efavirenz autoinduction on its plasma/PBMC exposure and the CD4 count over time display wide interpatient variability, partly due to sex and CYP2B6 and UGT2B7 genetic variation. Patients with the CYP2B6*1/*1 and UGT2B7*1/*1 genotypes are at risk of suboptimal immune recovery due to pronounced long-term autoinduction.

Modulators of very low voriconazole concentrations in routine therapeutic drug monitoring.

Very low voriconazole concentrations are commonly observed during therapeutic drug monitoring. Possible mechanisms include inappropriate dose selection, rapid metabolism (as a result of genetic polymorphisms or enzyme induction), and also nonadherence. We aimed to develop a method to distinguish between rapid metabolism of and nonadherence to voriconazole by quantification of voriconazole metabolites. In addition, the relevance of common genetic polymorphisms of CYP2C19 was assessed. In a retrospective study, samples with voriconazole concentrations 0.2 µg/mL or less in routine therapeutic drug monitoring (as quantified by high-performance liquid chromatography) were evaluated. Voriconazole and its N-oxide metabolite were quantified in residual blood using a highly sensitive liquid chromatography-tandem mass spectroscopy method (lower limit of quantitation = 0.03 µg/mL). Genetic polymorphisms of CYP2C19 were determined by real-time polymerase chain reaction using the hybridization probe format and the polymerase chain reaction-random fragment length polymorphism format. A total of 747 routine therapeutic drug monitoring plasma/blood samples of 335 patients treated with systemic voriconazole were analyzed and in 18.7% of all samples, voriconazole concentrations 0.2 µg/mL or less were found. In 32 samples (30 patients) with adequate dosage and timing of blood withdrawal, nonadherence was strongly suspected in seven patients because voriconazole-N-oxide concentrations were below 0.03 µg/mL, which was not observed in a reference group of 51 healthy volunteers with controlled drug intake. In 10 patients, of whom EDTA blood was available, the ultrarapid metabolizer genotype (CYP2C19*1\*17, CYP2C19*17\*17) was found in 80% and its prevalence was significantly higher as compared to a reference group (P = 0.02). In conclusion, quantification of voriconazole-N-oxide allowed for detection of suspected nonadherence in one of four patients with very low voriconazole concentrations. In the remaining patients, ultrarapid metabolism resulting from the CYP2C19*17 polymorphism appears to play a major role. Thus, in the case of voriconazole therapy failure, both nonadherence and genetic factors have to be considered.

The NK1 receptor antagonist aprepitant does not alter the pharmacokinetics of high-dose melphalan chemotherapy in patients with multiple myeloma.

AIMS: The objective of this investigation was to assess the effect of aprepitant on the pharmacokinetics of high-dose melphalan used as conditioning therapy before blood stem cell transplantation in multiple myeloma. METHODS: Aprepitant (125 mg) or placebo was administered 1 h before melphalan therapy (1 h infusion of 100 mg m⁻²). Eleven plasma samples were obtained over 8 h and melphalan was quantified using an LC/MS/MS method. Standard pharmacokinetic parameters were calculated and nonparametric testing was applied to assess the differences between aprepitant and placebo treatment. RESULTS: Twenty patients received placebo and 10 patients aprepitant treatment. There were no differences observed for C(max) at the end of melphalan infusion (placebo 3431 ± 608 ng ml⁻¹ vs. aprepitant 3269 ± 660 ng ml⁻¹). In addition, AUC and terminal elimination half-life were not changed by aprepitant. Total clearance of melphalan was 304 ± 58 ml min⁻¹ m⁻² (placebo) which was not influenced by aprepitant (288 ± 78 ml min⁻¹ m⁻²). CONCLUSIONS: The administration of the NK1 receptor antagonist aprepitant 1 h before a high-dose chemotherapy does not influence the exposure and the elimination of melphalan. Therefore, oral administration of 125 mg aprepitant 1 h before melphalan infusion does not alter the disposition of intravenously administered melphalan.

Pharmacokinetics of sulfobutylether-beta-cyclodextrin and voriconazole in patients with end-stage renal failure during treatment with two hemodialysis systems and hemodiafiltration.

Sulfobutylether-beta-cyclodextrin (SBECD), a large cyclic oligosaccharide that is used to solubilize voriconazole (VRC) for intravenous administration, is eliminated mainly by renal excretion. The pharmacokinetics of SBECD and voriconazole in patients undergoing extracorporeal renal replacement therapies are not well defined. We performed a three-period randomized crossover study of 15 patients with end-stage renal failure during 6-hour treatment with Genius dialysis, standard hemodialysis, or hemodiafiltration using a high-flux polysulfone membrane. At the start of renal replacement therapy, the patients received a single 2-h infusion of voriconazole (4 mg per kg of body weight) solubilized with SBECD. SBECD, voriconazole, and voriconazole-N-oxide concentrations were quantified in plasma and dialysate samples by high-performance liquid chromatography (HPLC) and by HPLC coupled to tandem mass spectrometry (LC-MS-MS) and analyzed by noncompartmental methods. Nonparametric repeated-measures analysis of variance (ANOVA) was used to analyze differences between treatment phases. SBECD and voriconazole recoveries in dialysate samples were 67% and 10% of the administered doses. SBECD concentrations declined with a half-life ranging from 2.6 +/- 0.6 h (Genius dialysis) to 2.4 +/- 0.9 h (hemodialysis) and 2.0 +/- 0.6 h (hemodiafiltration) (P < 0.01 for Genius dialysis versus hemodiafiltration). Prediction of steady-state conditions indicated that even with daily hemodialysis, SBECD will still exceed SBECD exposure of patients with normal renal function by a factor of 6.2. SBECD was effectively eliminated during 6 h of renal replacement therapy by all methods, using high-flux polysulfone membranes, whereas elimination of voriconazole was quantitatively insignificant. The SBECD half-life during renal replacement therapy was nearly normalized, but the average SBECD exposure during repeated administration is expected to be still increased.

Pharmacokinetics, metabolism and bioavailability of the triazole antifungal agent voriconazole in relation to CYP2C19 genotype.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: * Pharmacokinetic variability of voriconazole is largely caused by CYP3A4- and CYP2C19-mediated metabolism. * Oral bioavailability of voriconazole has been claimed to be almost 100%, thus facilitating a change from intravenous to oral application without dose adjustment. WHAT THIS STUDY ADDS: * For the first time voriconazole exposure after intravenous and oral administration in relation to CYP2C19 activity is reported. * In addition, the predominant metabolic pathway is the hydroxylation that seems to be influenced by the CYP2C19 genotype. * Enterohepatic circulation of both hydroxylated metabolites must be anticipated. AIMS: The aim was to determine the pharmacokinetics of voriconazole after a single oral dose in comparison with intravenous (i.v.) administration in healthy individuals stratified according to the cytochrome P450 (CYP) 2C19 genotype. In addition, the possible metabolic pathways and their modulation according to CYP2C19 genotype were investigated after oral and i.v. administration of voriconazole. METHODS: In a single-centre, open-label, two-period crossover study 20 participants received single doses of 400 mg voriconazole orally and 400 mg voriconazole intravenously in randomized order. Blood and urine samples were collected up to 96 h post dose and the voriconazole and three major metabolites were quantified by high-performance liquid chromatography coupled to mass spectroscopy. RESULTS: Absolute oral bioavailability of voriconazole was 82.6% (74.1, 91.0). It ranged from 94.4% (78.8, 109.9) in CYP2C19 poor metabolizers to 75.2% (62.9, 87.4) in extensive metabolizers. In contrast to voriconazole and its N-oxide, the plasma concentrations of both hydroxylated metabolites showed a large second peak after 24 h. Independent of the route of administration, voriconazole partial metabolic hydroxylation after i.v. administration was eightfold higher compared with N-oxidation [48.8 ml min(-1) (30.5, 67.1) vs. 6.1 ml min(-1) (4.1, 8.0)]. The formation of the metabolites was related to CYP2C19 activity. CONCLUSIONS: Independent of the route of administration, voriconazole exposure was three times higher in CYP2C19 poor metabolizers compared with extensive metabolizers. Voriconazole has a high bioavailability with no large differences between the CYP2C19 genotypes. The hydroxylation pathway of voriconazole elimination exceeded the N-oxidation, both influenced by the CYP2C19 genotype.

Inhibition of the active principle of the weak opioid tilidine by the triazole antifungal voriconazole.

AIMS: To investigate in vivo the influence of the potent CYP2C19 and CYP3A4 inhibitor voriconazole on the pharmacokinetics and analgesic effects of tilidine. METHODS: Sixteen healthy volunteers received voriconazole (400 mg) or placebo together with a single oral dose of tilidine (100 mg). Blood samples and urine were collected for 24 h and experimental pain was determined by using the cold pressor test. Noncompartimental analysis was performed to determine pharmacokinetic parameters of tilidine, nortilidine and voriconazole, whereas pharmacodynamic parameters were analysed by nonparametric repeated measures ANOVA (Friedman). RESULTS: Voriconazole caused a 20-fold increase in exposition of tilidine in serum [AUC 1250.8 h*ng ml(-1), 95% confidence interval (CI) 1076.8, 1424.9 vs. 61 h*ng ml(-1), 95% CI 42.6, 80.9; P < 0.0001], whereas the AUC of nortilidine also increased 2.5-fold. After voriconazole much lower serum concentrations of bisnortilidine were observed. The onset of analgesic activity occurred later with voriconazole, which is in agreement with the prolonged t(max) of nortilidine (0.78 h, 95% CI 0.63, 0.93 vs. 2.5 h, 95% CI 1.85, 3.18; P < 0.0001) due to the additional inhibition of nortilidine metabolism to bisnortilidine. After voriconazole the AUC under the pain withdrawal-time curve was reduced compared with placebo (149 s h(-1), 95% CI 112, 185 vs. 175 s h(-1), 95% CI 138, 213; P < 0.016), mainly due to the shorter withdrawal time 0.75 h after tilidine administration. CONCLUSIONS: Voriconazole significantly inhibited the sequential metabolism of tilidine with increased exposure of the active nortilidine. Furthermore, the incidence of adverse events was almost doubled after voriconazole and tilidine.

In vitro metabolism of the opioid tilidine and interaction of tilidine and nortilidine with CYP3A4, CYP2C19, and CYP2D6.

Tilidine is one of the most widely used narcotics in Germany and Belgium. The compound's active metabolite nortilidine easily penetrates the blood-brain barrier and activates the mu-opioid receptor. Thus far, the enzymes involved in tilidine metabolism are unknown. Therefore, the aim of our study was to identify the cytochrome P450 isozymes (CYPs) involved in N-demethylation of tilidine in vitro. We used human liver microsomes as well as recombinant CYPs to investigate the demethylation of tilidine to nortilidine and quantified nortilidine by liquid chromatography-tandem mass spectrometry. Inhibition of CYPs was quantified with commercial kits. Moreover, inhibition of ABCB1 and ABCG2 was investigated. Our results demonstrated that N-demethylation of tilidine to nortilidine followed a Michaelis-Menten kinetic with a K(m) value of 36 +/- 13 microM and a v(max) value of 85 +/- 18 nmol/mg/h. This metabolic step was inhibited by CYP3A4 and CYP2C19 inhibitors. Investigations with recombinant CYP3A4 and CYP2C19 confirmed that the demethylation of tilidine occurs via these two CYPs. Inhibition assays demonstrated that tilidine and nortilidine can also inhibit CYP3A4, CYP2C19, CYP2D6, ABCB1, but not ABCG2, whereas inhibition of CYP2D6 and possibly also of CYP3A4 might be clinically relevant. By calculating the metabolic clearance based on the in vitro and published in vivo data, CYP3A4 and CYP2C19 were identified as the main elimination routes of tilidine. In vivo, drug-drug interactions of tilidine with CYP3A4 or CYP2C19 inhibitors are to be anticipated, whereas substrates of CYP2C19, ABCB1, or ABCG2 will presumably not be influenced by tilidine or nortilidine.

Quantification of cationic anti-malaria agent methylene blue in different human biological matrices using cation exchange chromatography coupled to tandem mass spectrometry.

Selective and sensitive methods for the determination of the cationic dye and anti-malarial methylene blue in human liquid whole blood, dried whole blood (paper spot), and plasma depending on protein precipitation and cation exchange chromatography coupled to electrospray ionisation (ESI) tandem mass spectrometry (MS/MS) have been developed, validated according to FDA standards, and applied to samples of healthy individuals and malaria patients within clinical studies. Acidic protein precipitation with acetonitrile and trifluoroacetic acid was used for liquid whole blood and plasma. For the extraction of methylene blue from paper spots aqueous acetonitrile was used. Sample extracts were chromatographed on a mixed mode column (cation exchange/reversed phase, Uptisphere MM1) using an aqueous ammonium acetate/acetonitrile gradient. Methylene blue was quantified with MS/MS in the selected reaction monitoring mode using ESI and methylene violet 3RAX as internal standard. Depending on the sample volume (whole blood and plasma 250 microL, and 100 microL on paper spots) the method was linear at least within 75 and 10,000 ng/mL and the limit of quantification in all matrices was 75 ng/mL. Batch-to-batch accuracies of the whole blood, plasma, and paper spot methods varied between -4.5 and +6.6%, -3.7 and +7.5%, and -5.8 and +11.1%, respectively, with corresponding precision ranging from 3.8 to 11.8% CV. After a single oral dose (500 mg) methylene blue concentrations were detectable for 72 h in plasma. The methods were applied within clinical studies to samples from healthy individuals and malaria patients from Burkina Faso.