Literature DB >> 23629159

Efavirenz-mediated induction of omeprazole metabolism is CYP2C19 genotype dependent.

V Michaud1, Y Kreutz1, T Skaar1, E Ogburn1, N Thong1, D A Flockhart1, Z Desta1.   

Abstract

Efavirenz increases CYP2C19- and CYP3A-mediated omeprazole metabolism. We hypothesized that CYP2C19 and CYP2B6 genetic polymorphisms influence the extent of induction of omeprazole metabolism by efavirenz. Healthy subjects (n=57) were administered a single 20 mg oral dose of omeprazole on two occasions: with a single 600 mg efavirenz dose; and after a 17-day treatment with efavirenz (600 mg per day). DNA was genotyped for CYP2C19*2, *3 and *17 alleles and CYP2B6*6, *4 and *9 alleles using Taqman assays. Omeprazole, its enantiomers and metabolites were measured by liquid chromatography/tandem mass spectrometry. Our results showed that efavirenz increased omeprazole clearances in all CYP2C19 genotypes in non-stereoselective manner, but the magnitude of induction was genotype dependent. Metabolic ratios of 5-hydroxylation of omeprazole were reduced in extensive and intermediate metabolizers of CYP2C19 (P<0.05). No significant associations were observed between CYP2B6 genotypes and induction by efavirenz on omeprazole metabolism. Our data indicate how interplays between drug interactions and CYP2C19 genetic variations may influence systemic exposure of CYP2C19 substrates.

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Year:  2013        PMID: 23629159      PMCID: PMC3740059          DOI: 10.1038/tpj.2013.17

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


INTRODUCTION

Efavirenz-based regimens are often the preferred first line therapy in naive HIV-infected patients. Complex clinically relevant drug-drug interactions associated with efavirenz are of major concern. Efavirenz is primarily metabolized by CYP2B6 into 8-hydroxyefavirenz and to a lesser extent via pathways involving CYP2A6, CYP3A4/5 and UGT2B7.[1-5] Upon repeated administration, efavirenz enhances its own metabolism primarily through induction of CYP2B6 and the elimination of many coadministered drugs by up-regulating drug metabolizing enzymes co-regulated with CYP2B6, including CYP3As and CYP2C19.[6-8] In some cases, short-term and long-term exposures to the drug can produce mixed inhibitory/inductive properties like the one observed with CYP2C19.[8] After a single dose of efavirenz, extensive metabolizers for CYP2C19 had a reduced metabolic ratio of 5-hydroxyomeprazole compared to those previously reported following administration of omeprazole alone suggesting small competitive inhibition of CYP2C19 activity.[8] Consistent with these findings, efavirenz was reported to be a moderate inhibitor of CYP2C19 in vitro, with an IC50 value of 16μM[9]. The proton pump inhibitor omeprazole is widely used in the treatment of various gastric acid-related disorders. Omeprazole is chiral and mainly metabolized by CYP2C19 to 5-hydroxyomeprazole (94% and 27% for the R- and S-omeprazole, respectively) and to omeprazole sulfone by CYP3A4 (2% and 27% for the R- and S-omeprazole, respectively).[10, 11] Thus, omeprazole metabolism has been suggested as a dual probe of CYP2C19 and CYP3A activities. CYP2C19 activity is highly variable among individuals, mainly due to genetic and nongenetic factors including drug interactions. The CYP2C19 gene is highly polymorphic; currently, 28 alleles have been identified (http://www.cypalleles.ki.se/cyp2c19.htm), exhibiting interethnic differences in frequencies. The most frequent alleles contributing to the majority of poor metabolizer (PM) phenotype are CYP2C19*2 and CYP2C19*3.[ The variant allele CYP2C19*17, which is quite common in Caucasians than other ethnic population, is associated with increased CYP2C19-dependent metabolism of drugs such as omeprazole, voriconazole, escitalopram and clopidogrel; some authors assigned carriers of the CYP2C19*17 allele as ultra-rapid metabolizer (UM).[13-17] Recently, we reported that repeated administration of efavirenz to healthy volunteers enhances CYP2C19- and CYP3A-catalyzed omeprazole metabolism, but the extent of this induction varies widely among subjects.[8] Literature evidence suggest that genetic variants in CYPs influence the extent of inhibition drug interactions[18] as well as drug-drug interactions caused through induction of CYPs, including those involving CYP2C19[19-22], although the later has been generally less studied. We reasoned that variants in the CYP2C19 gene may contribute to the variable induction by efavirenz of CYP2C19 and CYP3A.[8] Assuming positive relationship between plasma efavirenz exposure and enzymatic induction, it is also conceivable that CYP2B6 genetic variations known to affect efavirenz plasma exposure[23-27] influence the extent of induction of these enzymes. The main objective of this study was to determine the impact of single dose vs. multiple doses of efavirenz on the pharmacokinetics of omeprazole and its metabolites in relation to CYP2C19 and CYP2B6 genotypes. Since omeprazole is administered as a racemic mixture to probe CYP2C19 (and CYP3A) activity and its metabolism is stereoselective,[10, 11] we also investigated whether the extent of induction of omeprazole metabolism by efavirenz occurs in a stereoselective manner among the CYP2C19 genotype groups.

METHODS

Study design

Sixty healthy subjects were enrolled in this sequential open label design where subjects received oral racemic omeprazole (20 mg) on two occasions: with a single 600 mg efavirenz dose; and after a 17-day treatment with efavirenz (600 mg/day). Blood samples were obtained from which plasma and genomic DNA were prepared for pharmacokinetic and genotyping analyses respectively. The study protocol was approved by the Indiana University Institutional Review Board. All subjects gave written informed consent. Subjects were judged healthy based on medical history, physical examinations and routine laboratory tests during the screening. Details of the protocol are provided in Supplemental file Methods.[8]

CYP2C19 and CYP2B6 genotyping

Genomic DNA was extracted from whole blood with the QIAGEN DNA MiniKit (QIAGEN, Valencia, CA). Genotyping for CYP2C19 (rs4244285), CYP2C19 (rs4986893), CYP2C19 (rs12248560), CYP2B6*9 (516G>T, rs3745274) and CYP2B6*4 (785A>G, rs2279343) was performed by TaqMan Assay-Reagents Allelic Discrimination Kits (Applied Biosystems, Foster City, CA) according to the supplier’s instructions. The two CYP2B6 SNPs (785A>G and 516G>T) together form the CYP2B6*6 allele.

Analytical methods

Plasma concentrations of R- and S-omeprazole, R- and S-5-hydroxyomeprazole, and omeprazole sulfone were measured using a chiral high performance liquid chromatography tandem mass-spectrometric method as described previously.[8]

Pharmacokinetic and data analyses

Pharmacokinetic parameters were calculated using a non-compartmental analysis method (Kinetica 5.0 software, Thermo Fisher Scientific Inc., MA). Omeprazole metabolic index (omeprazole hydroxylation index and omeprazole sulfoxidation index) was defined as log of plasma concentration ratio of omeprazole to its respective metabolite, determined in a plasma sample collected 3 hours after drug administration. Metabolic ratios of omeprazole to its sulfone and MR to its 5-hydroxyomeprazole were determined using AUC0-∞. Pharmacokinetic data are reported as mean ±SD. Data were analyzed by the paired-t test, Wilcoxon-matched paired test, and by one-way ANOVA with Dunn’s comparison and Kruskall-Wallis test as appropriate using GraphPad Prism (Graph Pad software, La Jolla, CA, USA). P-values <0.05 were regarded as statistically significant. The sample size was calculated with a power of 95% and a two-sided level of significance at 0.05 to detect a difference of 30% in omeprazole CL (single vs. multiple doses of efavirenz) for the same subjects (paired analysis) within each CYP2C19 genotype.

RESULTS

Genotyping and demographic characteristics

Of the total 60 subjects who completed the entire study, data from 57 subjects were included in the final analysis. Samples from 3 subjects were excluded from the analysis due to missing samples in one phase. The genotype frequencies of CYP2C19 and CYP2B6 were all in Hardy-Weinberg equilibrium (Supplemental Table S1). The CYP2C19 genotypes were grouped based on genotype-predicted phenotypes to ultra-rapid (UM: CYP2C19*17/*17; n=4), extensive (EM: CYP2C19*1/*1, n=18; and CYP2C19*1/*17, n=15), intermediate (IM: CYP2C19*1/*2 or *2/*17, n=18, CYP2C19*1/*3, n=1) or poor metabolizer (PM: CYP2C19*2/*2, n=1). Similarly, CYP2B6 genotypes were categorized as slow (SM, CYP2B6*6/*6, n=5), intermediate (IM; CYP2B6*1/*6 or *4/*9, n=14; and CYP2B6*4/*6, n=1) normal metabolizer (CYP2B6*1/*1, n=34; and CYP2B6*1/*4, n=3). There was no statistically significant differences (p>0.05) in any of the demographic characteristics of the volunteers either among the CYP2C19 genotype groups (Table 1) or among the CYP2B6 genotype groups (Supplemental Table S2).
TABLE 1

Demographic characteristics according to CYP2C19 genotypes

CYP2C19 genotypesP-value
UMEMIMPM
(CYP2C19*17*17) (CYP2C19*1*1CYP2C19*1*17)(CYP2C19*1*2CYP2C19*1*3)(CYP2C19*2*2)
Number of subjects 433191
Gender (male/female)2/222/1111/81/0
Age (years)34.0 ±12.327.1 ±9.630.2 ±9.8180.15
Weight (Kg)74.5 ±7.774.4 ±15.574.7 ±11.469.60.96
BMI 24.5 ±4.423.9 ±4.124.8 ±3.9220.61
Ethnicity;
 Caucasians327131
 Black-Americans1550
 Asians0110

CYP2C19 and CYP3A phenotype frequency distributions of omeprazole administered with a single dose and multiple doses of efavirenz

The metabolic indexes for the hydroxylation and sulfoxidation of omeprazole after a single dose and multiple doses of efavirenz exhibit a large inter-individual variability (Figure 1). The log metabolic index for the hydroxylation of racemic- and R-omeprazole exhibited bimodal distribution (Figures 1A-1B); no such bimodal distribution of the log metabolic index for the hydroxylation of S-omeprazole was observed (Figure 1C), probably due to preferential elimination of S-omeprazole through CYP2C19-mediated O-demethylation as opposed to R-omeprazole, which is mainly cleared through CYP2C19-mediated 5-hydroxylation.[10, 11] The log metabolic index for the sulfoxidation of omeprazole reflecting the distribution of CYP3A activity is illustrated in Figure 1D.
Figure 1

CYP2C19 phenotype frequency distribution of the log metabolic indexes of hydroxylation (A-C) and sulfoxidation (D) of omeprazole after a single 600 mg oral dose of efavirenz or during induction by multiple doses (600 mg/day for 17 days) of efavirenz. Racemic (A), R-omeprazole (B) and S-omeprazole (C) hydroxylation metabolic indexes are presented. The histograms were plotted using the log of omeprazole concentration divided by the metabolite concentration (5-hydroxyomeprazole or omeprazole sulfone) taken 3 hours after the administration of omeprazole. The probit plots were obtained by curve fitting of the log of omeprazole hydroxylation and sulfoxidation metabolic index from 57 subjects.

Effect of efavirenz on associations of CYP2C19 genotypes with the metabolism of racemic-, R- and S-omeprazole

CYP2C19 genotypes are key determinants of omeprazole metabolism when omeprazole is given alone. We assessed whether this CYP2C19 genotype-phenotype relationship is affected in the presence of efavirenz. When omeprazole was administered with a single dose of efavirenz, the elimination parameters of racemic-, R- and S-omeprazole were dependent on CYP2C19 genotypes (Tables 2A-3A, Figure 2). The clearance of racemic omeprazole was on average 4.4-fold and 2.2-fold lower in IM compared to UM and EM of CYP2C19, respectively (p<0.001). Similarly the clearances of R-omeprazole were significantly higher in UM and EM (by 5.7- and 2.2-fold, respectively) than IM of CYP2C19 (p<0.001). The clearances of the S-enantiomer in IM group were lower by 3.5- and 2.1-times than that of UM and EM respectively (p=0.003).
TABLE 2

Pharmacokinetic parameters of racemate omeprazole, 5-hydroxyomeprazole and omeprazole sulfone after a single oral 20-mg dose of omeprazole when co-administered with A) a single 600mg oral dose of efavirenz and B) following multiple doses of efavirenz. Percent changes in oral clearance of omeprazole following multiple doses compared to single dose of efavirenz are presented (percent changes in clearance are significantly affected by efavirenz in EM and IM of CYP2C19). The metabolic ratio was determined using the ratio of AUC0-∞ omeprazole/ AUC0-∞ omeprazole metabolite.

A)
PK parameters after asingle dose of EFVCYP2C19 genotypes
UMEMIMPM
Omeprazole racemate
 AUC0-∞ (nmol*h/l)625 ±345*1284 ±820[]2590±1963*[]10367
 CL/F (L/h)131 ±100*64 ±42[]30 ±16*[]5.6
5-hydroxyomeprazole
 AUC0-∞ (nmol*h/l)649 ±227847 ±326826 ±210412
 Metabolic ratio0.91 ±0.28*1.44 ±0.60[]3.32±2.71*[]25
Omeprazole sulfone
 AUC0-∞ (nmol*h/l)548 ±321*888 ±783[]2195 ±1128*[]8005
 Metabolic ratio1.22 ±0.701.68 ±0.681.25 ±0.581.30

p-value; comparison between genotype groups using Anova with Dunn’s multiple comparison analysis, p<0.05

;UM vs. IM,

; UM vs. EM and

; EM vs. IM).

TABLE 3

Pharmacokinetic parameters of R- and S-omeprazole and R- and S-5-hydroxyomeprazole are presented after a single oral 20-mg dose of omeprazole when coadministered with A) a single 600mg oral dose of efavirenz and B) following multiple doses of efavirenz. Percent changes in oral clearance of omeprazole following multiple doses compared to single dose of efavirenz are presented (percent changes in clearance are significantly affected by efavirenz in EM and IM of CYP2C19). The metabolic ratio was determined using the ratio of AUC0-∞ omeprazole/ AUC0-∞ omeprazole metabolite.

A)
PK parameters after asingle dose of EFVCYP2C19 genotypes
UMEMIMPM
R-Omeprazole
 AUC0-∞ (nmol*h/l)189 ±103*465 ±292[]1059 ±956*[]5895
 CL/F (L/h)219 ±177*85 ±54[]39 ±21*[]4.9

S-Omeprazole
 AUC0-∞ (nmol*h/l)451 ±239*831 ±548[]1536 ±1050*[]4562
 CL/F (L/h)87 ±61*52 ±37[]25 ±13*[]6.4

R-5-hydroxyomeprazole
 AUC0-∞ (nmol*h/l)588 ±198759 ±322743 ±191352
 Metabolic ratio0.33 ±0.13*0.66 ±0.44[]1.55 ±1.50*[]16.7

S-5-hydroxyomeprazole
 AUC0-∞ (nmol*h/l)66 ±2979 ±35108 ±5082
 Metabolic ratio6.6 ±2.9*10.1 ±4.116.7 ±12.1*55

p-value; comparison between genotype groups using Anova with Dunn’s multiple comparison analysis, p<0.05

;UM vs. IM,

; UM vs. EM and

; EM vs. IM)

Figure 2

Association of CYP2C19 genotypes with omeprazole clearances when coadministered with a single dose or after multiple doses of efavirenz. Box plots of the clearance of A) racemate, B) R-omeprazole and C) S-omeprazole after single and multiple doses of efavirenz according to the CYP2C19 genotype status; ultra-rapid (UM; CYP2C19*17*17), extensive (EM; CYP2C19*1*1, CYP2C19*1*17), intermediate (CYP2C19*1*2 or *3) metabolizers. One-way ANOVA with Dunn’s comparison statistical analysis was performed to compare clearances between genotype groups and paired t-test was used to compare single dose vs. multiple doses for each individual genotype (*p<0.05 and **p<0.001).

Multiple doses of efavirenz significantly decreased the AUC0→∞ and increased the clearances of racemic omeprazole (Table 2B) and its enantiomers (Table 3B) in all CYP2C19 genotype groups (p<0.05). The clearances of racemic-, R- and S-omeprazole in IM were lower by 3.4-, 4.6- and 2.7-fold respectively when compared to UM and by 1.8-, 1.8- and 1.9-fold respectively when compared to EM (p<0.05) (Figure 2). CYP2C19 genotype-phenotype associations were also confirmed using metabolic ratios. Pharmacokinetic parameters of racemic-, R-5- and S-5-hydroxyomeprazole and omeprazole sulfone are presented in Tables 2 and 3. Metabolic ratios of omeprazole 5-hydroxylation (AUC0→∞ omeprazole/5-hydroxyomeprazole) were significantly affected by CYP2C19 genotypes in both treatment groups (single and multiple doses of efavirenz) (Table 2B). Stereoselective analysis demonstrated that the R- and S-5-hydroxy metabolic ratios of omeprazole were similarly influenced by the CYP2C19 metabolic status (Table 3). For example, the mean metabolic ratio of R-5-hydroxyomeprazole after a single dose of efavirenz was 4.6- and 2.3-times greater in IM compared to UM and EM groups, respectively (p<0.01). After multiple dosing of efavirenz, the mean metabolic ratio of R-5-hydroxyomeprazole was 2.2- and 1.7-times higher in IM than that in UM and EM subjects, respectively (p<0.002). Induction by efavirenz tended to reduce the magnitude of difference between IM and other CYP2C19 genotype groups. As shown in Table 2, CYP2C19 genotypes were significantly associated with the AUC0→∞ of omeprazole sulfone in both treatment groups (single and multiple doses of efavirenz). The above data were further confirmed using metabolic index (an approach often used in literature). Analysis performed with the mean log metabolic indexes confirmed the influence of CYP2C19 genotypes on phenotype of omeprazole after a single dose and during induction by efavirenz (Table 4).
TABLE 4

Mean log of metabolic indexes of 5-hydroxylation (racemic-, R- and S-omeprazole) and sulfoxidation of omeprazole according to the CYP2C19 genotypes. The log metabolic index for hydroxylation was determined as the log10 (omeprazole 3 hours /5-hydroxyomeprazole 3 hours) and the log metabolic index for sulfoxidation of omeprazole as the log10 (omeprazole 3 hours/omeprazole sulfone 3 hours).

CYP2C19 genotypesLog of Metabolic Index
Single dose ofEFVMultiples doses ofEFV*p-value[]
5-Hydroxylation
 UM−0.10±0.29−0.11±0.090.9
 EM0.20±0.230.002±0.260.0003
 IM0.45±0.310.18±0.180.002
 PM1.521.05

Sulfoxidation
 UM−0.03±0.49−0.31±0.230.4
 EM0.39±0.31−0.18±0.270.0001
 IM0.28±0.39−0.15±0.400.003
 PM0.590.01

R-5-Hydroxylation OMP
 UM−0.55±0.31−0.54±0.181.0
 EM−0.22±0.27−0.38±0.290.004
 IM0.08±0.35−0.11±0.210.01
 PM1.350.89

S-5-Hydroxylation OMP
 UM0.79±0.270.72±0.070.6
 EM1.03±0.220.84±0.280.002
 IM1.19±0.301.05±0.280.002
 PM1.761.32

p-value; comparison between single dose vs. multiple doses of efavirenz using paired t-test

Log of metabolic indexes for (racemic-, R- and S-) 5-hydroxylation and sulfoxidation of omeprazole are significantly lower in IM compared to EM and UM of CYP2C19 (p<0.05; ANOVA with Dunn’s multiple comparison) after a single dose and multiples doses of efavirenz.

Influence of CYP2C19 genotypes on the extent of induction of racemic-, R- and S-omeprazole metabolism by efavirenz

Efavirenz appears to induce omeprazole clearance in relation to CYP2C19 genotype. Compared to the single dose of efavirenz arm, treatment with multiple doses of efavirenz increased the elimination of racemic-, R- and S-omeprazole in EM and IM groups (p<0.05) (Figure 2A, 2B and 2C, respectively). The percent change in oral clearance (from single to multiple doses of efavirenz) of racemic omeprazole was statistically significantly in EM (93%) and IM (116%) groups (p<0.05); the same tendency was noted with the R- and S- enantiomers of omeprazole (Table 3B). Although an enhanced clearance of omeprazole was observed in UM subjects following multiple dosing of efavirenz (percent change of 84%; Table 2B), this difference did not reach a statistical significance level. Higher clearance was also observed in the sole PM of CYP2C19 with percent changes ranging from 62% to 79% (Figure 2, Table 2). This observation suggests that efavirenz enhances clearance in the PM subject through induction of other non-CYP2C19 elimination pathways of omeprazole.The change in clearance of R-omeprazole (single vs. multiple doses of efavirenz) within each genotype group was not different from the change observed for S-omeprazole, indicating that the overall induction of omeprazole metabolism by efavirenz was not enantioselective. The extent of induction in each genotype group was evaluated by comparing the metabolic ratios (Table 3) after multiple doses of efavirenz with those after a single dose. Multiple doses of efavirenz significantly reduced the metabolic ratios of 5-hydroxyolation in EM (−23±48%, p=0.002) and in IM (−31±23%, p=0.0004) of CYP2C19. This ratio was also reduced in UM, but it did not reach a statistically significant level. In the PM subject, the metabolic ratio of 5-hydroxylation was decreased by −52% following multiple doses of efavirenz compared to a single dose. Again, these data indicate that efavirenz induces an alternative pathway(s) of omeprazole elimination or the rate of sequential metabolism. Of note, the genotype groups associated with lower CYP2C19 activity tended to be associated with higher induction of CYP2C19 activity. In Table 4, the mean log metabolic ratios for the 5-hydroxylation and the sulfoxidation in relation to CYP2C19 genotypes are shown. Efavirenz significantly induced racemic-, R-5- and S-5-hydroxylation and sulfoxidation metabolic indexes within EM and IM of CYP2C19 (p≤0.01). Again, a trend was observed in UM but it did not reach statistical significance (Supplemental Figure S1).

Influence of CYP2B6 polymorphisms on the magnitude of drug interaction between efavirenz and omeprazole

In vitro and in vivo studies show that efavirenz induces CYPs such as CYP2B6, CYP3A4 and CYP2C19 activities in a concentration- and time-dependent manner.[6, 28-30] We tested whether the inductive effects of efavirenz on omeprazole metabolism could be modulated by the CYP2B6 genotype. No relationship between the metabolic indexes of omeprazole and CYP2B6 genetic polymorphisms for both metabolic pathways of omeprazole (Figure 3).
Figure 3

Effects of CYP2B6 genetic polymorphisms on the log hydroxylation and sulfoxidation metabolic indexes of omperazole are presented after a single and multiple doses of efavirenz. The result showed that no significant difference was observed between all CYP2B6 genotype groups. One-way ANOVA with Dunn’s comparison statistical analysis was performed to compare log metabolic index between CYP2B6 genotype groups and paired t-test was used to compare single dose vs. multiple doses for each individual genotype. Percent changes (mean ±SD) of the log metabolic index for the A) 5-hydroxylation and B) sulfoxidation of omeprazole are presented, and no difference was observed between the CYP2B6 genotypes.

DISCUSSION

In the present study, we have used multiple markers (oral clearance, metabolic ratio and metabolic index) to test the hypothesis that CYP2C19 and CYP2B6 genetic polymorphisms may explain inter-individual variability in induction of omeprazole elimination by efavirenz. We demonstrated: a) CYP2C19 genotype-phenotype relationship when omeprazole is co-administered with a single dose and multiple doses of efavirenz; b) that omeprazole metabolism via CYP2C19 and CYP3A is induced by efavirenz in all genotype groups in nonstereoselective manner; and c) the degree of this induction appears to be CYP2C19 genotype-dependent. This is the first study reporting the impact of the CYP2C19*17 allele on induction. These comprehensive analyses indicate how interplays between drug interactions and genetic polymorphisms may influence exposure of drugs metabolized by CYP2C19 and CYP3A. The major role of CYP2C19 genetic variants in omeprazole metabolism when the drug is administered alone has been well-documented. We found that this genotype-phenotype association is essentially maintained in the presence of efavirenz (single and multiple doses) as supported by the: 1) significant associations of CYP2C19 genetic variants and omeprazole elimination; 2) frequency distribution histogram and probit plots of the hydroxylation indexes of omeprazole showing bimodality with an antimode of ~0.6-0.8, consistent with previous reports[31,32]; 3) significantly higher metabolic ratios of omeprazole hydroxylation in IM compared to EM and UM of CYP2C19, consistent with previous data showing a gene-dose effect of CYP2C19 genotypes on metabolic ratios of omeprazole 5-hydroxylation[15]; and 4) analysis of the log of omeprazole hydroxylation index. Omeprazole is mainly cleared by CYP2C19-mediated 5-hydroxylation. However, we found no influence of CYP2C19 genotype on the AUC0→∞ of 5-hydroxyomeprazole, consistent with a previous study showing no statistical difference in AUC0→∞ for this metabolite between the CYP2C19*17*17 and CYP2C19*1*1 groups.[15] A trend towards lower AUC0→∞ of 5-hydroxyomeprazole in UM of CYP2C19 compared to EM or IM groups after a single dose and multiple doses of efavirenz (present study) and this finding concur with a similar trend observed by Baldwin et al.[15] The lack of association between CYP2C19 genotypes and 5-hydroxyomeprazole exposure may be in part explained by the sequential metabolism of 5-hydroxyomeprazole and the mixed inhibitor/inducer properties of efavirenz on CYP2C19 activity.[8] Our data show that the AUC0→∞ of omeprazole sulfone in EM was 1.7-fold higher than in UM of CYP2C19, consistent with a previous study reporting that omeprazole sulfone’s AUC0→∞ was 2.1-fold lower in CYP2C19*17*17 than in CYP2C19*1*1 group.[15] The present findings and data from previous studies[15, 33, 34] indicate that the sulfoxidation pathway serves as the main clearance mechanism of omeprazole when CYP2C19-mediated pathway is diminished or absent. Few studies have evaluated omeprazole as a CYP3A4 probe drug. In this study, the log of sulfoxidation index of omeprazole suggests a bimodal distribution with an antimode around 0.8. This observation is consistent with data by Gonzalez et al., who reported multimodal distribution of this index in West Mexican healthy subjects (mean value of 0.2 for EM and 0.8 for PM).[31] In another study, a mean log omeprazole sulfone metabolic index in Caucasians of 0.48 (0.32-0.70) was reported in CYP2C19 PM.[35] Based on genotype analysis, the mean log metabolic index for sulfoxidation was 0.39 for EM and 0.59 for PM in the present study. While the log of omeprazole sulfoxidation index can be used as a rough estimate of CYP3A activity, the large inter-subject variability observed and the influence of CYP2C19 variants on this index makes it less reliable and less accurate as a quantitative measure of CYP3A activity.

Influence of CYP2C19 and CYP2B6 genetic variations on induction of omeprazole metabolism by efavirenz

Comparison of omeprazole pharmacokinetics after a single vs. multiple doses of efavirenz suggests that efavirenz induced omeprazole metabolism in a CYP2C19 genotype-dependant but not in a stereoselective manner. Specifically, we provide convincing evidence that efavirenz significantly induces the metabolism of omeprazole in EM and IM of CYP2C19. While our findings are broadly consistent with data from other studies,[36,37] some exceptions exist with respect to the degree of induction among CYP2C19 genotypes. First, in contrast to our data showing a relatively higher induction of omeprazole metabolism in IM than EM (or UM) of CYP2C19 by efavirenz, other investigators have found relatively smaller induction in IM compared to EM subjects.[38-40] Rengelshausen et al. investigated the long term effects of St-John’s Wort on the pharmacokinetics of voriconazole.[40] They reported that the oral clearance of voriconazole was significantly enhanced in subjects with CYP2C19*1/*1 (p=0.01) and CYP2C19*1/*2 (p=0.03), but the effect on those that carry the variant was smaller.[40] Similar findings have been reported with other substrates (e.g., S-mephenytoin) and inducers (e.g., rifampin).[38, 39] The reasons for the discrepancy regarding the extent of induction in CYP2C19 IM remain unknown but the relatively higher number of IM individuals enrolled in our study (n=19) allowed us to conduct robust comparison between EM and IM groups. Second, we noted a non-significant induction of omeprazole metabolism in UM of CYP2C19 by efavirenz and the magnitude of this induction tended to be lower compared to EM and IM. The lack of statistically significant change may be simply due to the small number of UM (n=4) subjects studied. The CYP2C19*17 allele is caused by mutation (−808C>T) in the 5′-flanking region of the gene[41] and the possibility that the impact of induction by efavirenz could be blunted in UM subjects due to the already high basal activity of CYP2C19 or altered binding could not be ruled out. Third, reduction in AUC0-∞ of omeprazole and increase in metabolic ratio of 5-hydroxylation (changed from 0.04 to 0.08) observed in one PM subject (current study) are consistent with previous studies showing an increased omeprazole clearance in CYP2C19 PM after treatment with St-John’s Wort or artemisinin.[36, 37] Considering that CYP2C19*2*2 is associated with a complete absence of CYP2C19 activity, the induction observed in our PM subject and the magnitude thereof may be explained by induction of other non-CYP2C19-mediated metabolic pathways of omeprazole (e.g., CYP3A-mediated sulfoxidation). Consistent with this suggestion, artemisinin enhanced the elimination of omeprazole in one subject with a poor CYP2C19 metabolizer phenotype.[37] However, when S-mephenytoin is used as a substrate, no or marginal induction of CYP2C19 by rifampin and by St-John’s Wort has been reported in CYP2C19 PM.[19, 39] The degree of induction appears to vary with the substrate used, the fraction metabolized by CYP2C19, the intrinsic capacity of the inducer, the sensitivity of alternative pathway to induction and the indices used to evaluate enzyme activity which may be sensitive to sequential metabolism. We have shown that efavirenz effectively induced omeprazole sulfoxidation in EM and IM subjects, concurring with a previous report showing marked induction of this pathway of omeprazole by St-John’s Wort in EM and PM.[36] However, notable differences were seen regarding the extent of induction of omeprazole elimination between the current study and that previously reported.[36] They reported a substantial increase in the percent change of omeprazole sulfone AUC0→∞ after long term exposure to St-John’s Wort in EM (159±101%) and PM of CYP2C19 (136.6±84.6%), in contrast to a much smaller change by efavirenz in the same genotype groups was observed in our study. This may be explained by a greater inductive effect of St-John’s Wort on CYP3A genes in the intestine and the liver compared to efavirenz which predominantly induces CYP3A in the liver.[29, 42-44] This is the first study testing the influence of CYP2B6 polymorphisms on CYP2C19 induction by efavirenz. The CYP2B6*6 allele is associated with significantly higher efavirenz exposure.[23-27] We found no significant difference in any of the markers of CYP2C19 activity between carriers and non-carriers of the CYP2B6*6 allele. Our finding suggest that the inductive effects of efavirenz on omeprazole 5-hydroxylation may be observed at plasma concentrations lower than those observed after the regular dose (600 mg/day) of efavirenz. We also found no significant association between the CYP2B6 variants and the extent of CYP3A induction by efavirenz. A recent study reported higher induction of CYP3A activity (using an endogenous marker) by efavirenz in CYP2B6 slow metabolizers.[45] Difference in the marker used for CYP3A activity makes comparison with our study difficult. The presence of sequential metabolism in omeprazole elimination might have precluded statistical significance. In the present study, the impact of variants in the CYP3A4 and CYP3A5 genes on the degree of induction of omeprazole metabolism by efavirenz was not tested because the genetic component of CYP3A4 is small and the contribution of CYP3A5 to omeprazole sulfoxidation is marginal[46]. In summary, this study indicates that omeprazole elimination remains CYP2C19-genotype dependent after a single and multiple doses of efavirenz. We provide evidence that EM and IM of CYP2C19 were more prone to the inductive effects by efavirenz; this is the first report showing a significant induction by efavirenz on omeprazole elimination in IM subjects. The ability of efavirenz to induce CYP2C19 and CYP3A using omeprazole as the marker-drug appears to be independent of CYP2B6 genetic polymorphisms. In conclusion, genetic factors should be taken in to consideration when induction drug interactions are evaluated.
  45 in total

1.  The cytochrome P450 2B6 (CYP2B6) is the main catalyst of efavirenz primary and secondary metabolism: implication for HIV/AIDS therapy and utility of efavirenz as a substrate marker of CYP2B6 catalytic activity.

Authors:  Bryan A Ward; J Christopher Gorski; David R Jones; Stephen D Hall; David A Flockhart; Zeruesenay Desta
Journal:  J Pharmacol Exp Ther       Date:  2003-04-03       Impact factor: 4.030

2.  Hepatic but not intestinal CYP3A4 displays dose-dependent induction by efavirenz in humans.

Authors:  Stéphane Mouly; Kenneth S Lown; David Kornhauser; Jeffrey L Joseph; William D Fiske; Irma H Benedek; Paul B Watkins
Journal:  Clin Pharmacol Ther       Date:  2002-07       Impact factor: 6.875

3.  Stereoselective metabolism of omeprazole by human cytochrome P450 enzymes.

Authors:  A Abelö; T B Andersson; M Antonsson; A K Naudot; I Skånberg; L Weidolf
Journal:  Drug Metab Dispos       Date:  2000-08       Impact factor: 3.922

4.  Identification and characterization of efavirenz metabolites by liquid chromatography/mass spectrometry and high field NMR: species differences in the metabolism of efavirenz.

Authors:  A E Mutlib; H Chen; G A Nemeth; J A Markwalder; S P Seitz; L S Gan; D D Christ
Journal:  Drug Metab Dispos       Date:  1999-11       Impact factor: 3.922

5.  Inhibition of human cytochrome P450 isoforms by nonnucleoside reverse transcriptase inhibitors.

Authors:  L L von Moltke; D J Greenblatt; B W Granda; G M Giancarlo; S X Duan; J P Daily; J S Harmatz; R I Shader
Journal:  J Clin Pharmacol       Date:  2001-01       Impact factor: 3.126

6.  St John's Wort induces intestinal P-glycoprotein/MDR1 and intestinal and hepatic CYP3A4.

Authors:  D Dürr; B Stieger; G A Kullak-Ublick; K M Rentsch; H C Steinert; P J Meier; K Fattinger
Journal:  Clin Pharmacol Ther       Date:  2000-12       Impact factor: 6.875

7.  CYP2C19- and CYP3A4-dependent omeprazole metabolism in West Mexicans.

Authors:  Héctor M Gonzalez; Elba M Romero; A Aaron Peregrina; Teresa de J Chávez; Estanislao Escobar-Islas; Felipe Lozano; Carlos Hoyo-Vadillo
Journal:  J Clin Pharmacol       Date:  2003-11       Impact factor: 3.126

Review 8.  Clinical significance of the cytochrome P450 2C19 genetic polymorphism.

Authors:  Zeruesenay Desta; Xiaojiong Zhao; Jae-Gook Shin; David A Flockhart
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

9.  St John's wort induces both cytochrome P450 3A4-catalyzed sulfoxidation and 2C19-dependent hydroxylation of omeprazole.

Authors:  Lian-Sheng Wang; Gan Zhou; Bing Zhu; Jun Wu; Jian-Gang Wang; A M Abd El-Aty; Tong Li; Jie Liu; Tian-Lun Yang; Dan Wang; Xiang-Yang Zhong; Hong-Hao Zhou
Journal:  Clin Pharmacol Ther       Date:  2004-03       Impact factor: 6.875

10.  Pharmacogenetic and pharmacokinetic aspects of CYP3A induction by efavirenz in HIV patients.

Authors:  A Habtewold; W Amogne; E Makonnen; G Yimer; H Nylén; K-D Riedel; G Aderaye; L Bertilsson; J Burhenne; U Diczfalusy; E Aklillu
Journal:  Pharmacogenomics J       Date:  2012-10-23       Impact factor: 3.550

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  9 in total

1.  Population Pharmacokinetic Modeling To Estimate the Contributions of Genetic and Nongenetic Factors to Efavirenz Disposition.

Authors:  Jason D Robarge; Ingrid F Metzger; Jessica Lu; Nancy Thong; Todd C Skaar; Zeruesenay Desta; Robert R Bies
Journal:  Antimicrob Agents Chemother       Date:  2016-12-27       Impact factor: 5.191

2.  Pharmacokinetics of para-aminosalicylic acid in HIV-uninfected and HIV-coinfected tuberculosis patients receiving antiretroviral therapy, managed for multidrug-resistant and extensively drug-resistant tuberculosis.

Authors:  Lizanne de Kock; Sherwin K B Sy; Bernd Rosenkranz; Andreas H Diacon; Kim Prescott; Kenneth R Hernandez; Mingming Yu; Hartmut Derendorf; Peter R Donald
Journal:  Antimicrob Agents Chemother       Date:  2014-08-11       Impact factor: 5.191

3.  Effects of Enzyme Induction and Polymorphism on the Pharmacokinetics of Isoniazid and Rifampin in Tuberculosis/HIV Patients.

Authors:  Jesper Sundell; Emile Bienvenu; Sofia Birgersson; Angela Äbelö; Michael Ashton
Journal:  Antimicrob Agents Chemother       Date:  2022-09-07       Impact factor: 5.938

4.  Substantial effect of efavirenz monotherapy on bilirubin levels in healthy volunteers.

Authors:  Ingrid F Metzger; Troy C Quigg; Noam Epstein; Abdulateef O Aregbe; Nancy Thong; John T Callaghan; David A Flockhart; Anne T Nguyen; Colleen K Stevens; Samir K Gupta; Zeruesenay Desta
Journal:  Curr Ther Res Clin Exp       Date:  2014-09-27

Review 5.  Pharmacological Effects and Toxicogenetic Impacts of Omeprazole: Genomic Instability and Cancer.

Authors:  Márcia Fernanda Correia Jardim Paz; Marcus Vinícius Oliveira Barros de Alencar; Rodrigo Maciel Paulino de Lima; André Luiz Pinho Sobral; Glauto Tuquarre Melo do Nascimento; Cristiane Amaral Dos Reis; Maria do Perpetuo Socorro de Sousa Coêlho; Maria Luísa Lima Barreto do Nascimento; Antonio Luiz Gomes Júnior; Kátia da Conceição Machado; Ag-Anne Pereira Melo de Menezes; Rosália Maria Torres de Lima; José Williams Gomes de Oliveira Filho; Ana Carolina Soares Dias; Antonielly Campinho Dos Reis; Ana Maria Oliveira Ferreira da Mata; Sônia Alves Machado; Carlos Dimas de Carvalho Sousa; Felipe Cavalcanti Carneiro da Silva; Muhammad Torequl Islam; João Marcelo de Castro E Sousa; Ana Amélia de Carvalho Melo Cavalcante
Journal:  Oxid Med Cell Longev       Date:  2020-03-28       Impact factor: 6.543

6.  CYP2B6 Genotype-Dependent Inhibition of CYP1A2 and Induction of CYP2A6 by the Antiretroviral Drug Efavirenz in Healthy Volunteers.

Authors:  Ingrid F Metzger; Nimita Dave; Yvonne Kreutz; Jessica B L Lu; Raymond E Galinsky; Zeruesenay Desta
Journal:  Clin Transl Sci       Date:  2019-08-12       Impact factor: 4.689

7.  Evaluation of the relationship between polymorphisms in CYP2C19 and the single-dose pharmacokinetics of omeprazole in healthy Chinese volunteers: A multicenter study.

Authors:  Shuang Zhou; Ran Xie; Xiaodan Zhang; Xu He; Jie Huang; Yin Jungang; Man Liao; Ying Ding; Dandan Yang; Ying Liu; Qian Zhang; Guoping Yang; Fang Liu; Shengjiang Guan; Qing He; Honggang Lou; Fengyun Gong; Xianmin Meng; Qian Xiang; Xia Zhao; Yimin Cui
Journal:  Clin Transl Sci       Date:  2022-03-25       Impact factor: 4.438

8.  Variants in the CYP2B6 3'UTR Alter In Vitro and In Vivo CYP2B6 Activity: Potential Role of MicroRNAs.

Authors:  Kimberly S Burgess; Joseph Ipe; Marelize Swart; Ingrid F Metzger; Jessica Lu; Brandon T Gufford; Nancy Thong; Zeruesenay Desta; Roger Gaedigk; Robin E Pearce; Andrea Gaedigk; Yunlong Liu; Todd C Skaar
Journal:  Clin Pharmacol Ther       Date:  2017-10-25       Impact factor: 6.875

9.  Circulating miRNAs as Biomarkers for CYP2B6 Enzyme Activity.

Authors:  Joseph Ipe; Rudong Li; Ingrid F Metzger; Jessica Bo Li Lu; Brandon T Gufford; Zeruesenay Desta; Yunlong Liu; Todd C Skaar
Journal:  Clin Pharmacol Ther       Date:  2020-10-05       Impact factor: 6.875

  9 in total

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