Abstract
Background and purpose:
Lopinavir is extensively metabolized by cytochrome P450 3A (CYP3A) and is considered to be a substrate for the drug transporters ABCB1 (P-glycoprotein) and ABCC2 (MRP2). Here, we have assessed the individual and combined effects of CYP3A, ABCB1 and ABCC2 on the pharmacokinetics of lopinavir and the relative importance of intestinal and hepatic metabolism. We also evaluated whether ritonavir increases lopinavir oral bioavailability by inhibition of CYP3A, ABCB1 and/or ABCC2.
Experimental approach:
Lopinavir transport was measured in Madin-Darby canine kidney cells expressing ABCB1 or ABCC2. Oral lopinavir kinetics (+/− ritonavir) was studied in mice with genetic deletions of Cyp3a, Abcb1a/b and/or Abcc2, or in transgenic mice expressing human CYP3A4 exclusively in the liver and/or intestine.
Key results:
Lopinavir was transported by ABCB1 but not by ABCC2 in vitro. Lopinavir area under the plasma concentration – time curve (AUC)oral was increased in Abcb1a/b−/− mice (approximately ninefold vs. wild-type) but not in Abcc2−/− mice. Increased lopinavir AUCoral (>2000-fold) was observed in cytochrome P450 3A knockout (Cyp3a−/−) mice compared with wild-type mice. No difference in AUCoral between Cyp3a−/− and Cyp3a/Abcb1a/b/Abcc2−/− mice was observed. CYP3A4 activity in intestine or liver, separately, reduced lopinavir AUCoral (>100-fold), compared with Cyp3a−/− mice. Ritonavir markedly increased lopinavir AUCoral in all CYP3A-containing mouse strains.
Conclusions and implications:
CYP3A was the major determinant of lopinavir pharmacokinetics, far more than Abcb1a/b. Both intestinal and hepatic CYP3A activity contributed importantly to low oral bioavailability of lopinavir. Ritonavir increased lopinavir bioavailability primarily by inhibiting CYP3A. Effects of Abcb1a/b were only detectable in the presence of CYP3A, suggesting saturation of Abcb1a/b in the absence of CYP3A activity.
Keywords: lopinavir, CYP3A, P-glycoprotein (ABCB1, MDR1), MRP2 (ABCC2), intestinal metabolism
Introduction
Lopinavir is currently one of the most widely used human immunodeficiency virus (HIV) protease inhibitors (PIs). The drug itself is rapidly metabolized and has very low oral bioavailability. The metabolism of lopinavir is primarily mediated by cytochrome P450 3A (CYP3A) enzymes (nomenclature follows Alexander et al., 2009) and yields metabolites that are less potent as PIs (Kumar et al., 1999). CYP3A enzymes are not only involved in the metabolism of lopinavir but also in metabolism of about 50% of the currently marketed drugs (Guengerich, 1999). While the liver has long been considered to be the most important organ where CYP3A-mediated metabolism takes place, evidence is accumulating that intestinal CYP3A metabolism can also have a profound impact on the oral bioavailability of drugs (van Herwaarden et al., 2007; Thummel, 2007).
Inhibition or induction of CYP3A can have profound clinical consequences, especially with drugs that have narrow therapeutic windows, such as PIs (Dresser et al., 2000). Importantly, there is a high inter- but also intra-individual variation in CYP3A activity levels (Lamba et al., 2002; Lin et al., 2002). These factors, together with the wide substrate specificity of the enzyme, make CYP3A an important determinant of drug–drug interactions (Thummel and Wilkinson, 1998).
In addition to CYP3A, active drug transporters such as P-glycoprotein (ABCB1; MDR1, multidrug resistance protein 1) and the multidrug resistance protein 2 (MRP2; ABCC2) can have a strong effect on the oral bioavailability and elimination of administered drugs (Schinkel and Jonker, 2003). Recently, lopinavir was reported to be a substrate for ABCB1 and ABCC2 in vitro (Woodahl et al., 2005; Agarwal et al., 2007). Although this could have clinical implications, the impact of these drug transporters on the pharmacokinetics of lopinavir in vivo has not been elucidated.
It is noteworthy that many ABCB1 and/or ABCC2 substrates are also substrates for CYP3A, like lopinavir, and it has been hypothesized that the combined activity of drug transporters and CYP3A results in efficient first-pass metabolism of orally administered drugs (Watkins, 1997; Ito et al., 1999a; Benet and Cummins, 2001; Kivisto et al., 2004; Garmire and Hunt, 2008). Especially in the intestine, the apically located drug transporters such as ABCB1 or ABCC2 may reduce the probability of CYP3A4 saturation. However, little in vivo evidence for this possibility is currently available. Yet, we have recently demonstrated that the combined activity of CYP3A and Abcb1a/b is an important determinant of the low bioavailability of the anti-cancer drug docetaxel and that the absence of both systems leads to disproportionate increases in systemic docetaxel exposure with a concomitant higher toxicity risk (van Waterschoot et al., 2009).
In humans, lopinavir is co-formulated with ritonavir, which improves the oral bioavailability of lopinavir dramatically. Although ritonavir is a PI as well, the ritonavir concentrations achieved in the combination therapy are not considered therapeutic. While ritonavir primarily inhibits CYP3A-mediated metabolism of lopinavir, it is noteworthy that ritonavir can also inhibit ABCB1 and ABCC2 (Drewe et al., 1999; Gutmann et al., 1999). Inhibition of ABCB1 and/or ABCC2 by ritonavir might therefore be in part responsible for the increased oral bioavailability of lopinavir.
In addition to the Cyp3a/Abcb1a/b combination knockout mouse model (van Waterschoot et al., 2009), we recently generated Cyp3a/Abcb1a/b/Abcc2 combination knockout mice. In this study we have utilized these novel mouse models to investigate the individual and combined effects of CYP3A and the drug transporters Abcb1a/b and Abcc2 on lopinavir pharmacokinetics in vivo. Moreover, by using a set of ‘humanized’ CYP3A4-transgenic mouse strains, we assessed the relative importance of intestinal and hepatic CYP3A4-mediated metabolism of lopinavir. Finally, we aimed to obtain more insight into how ritonavir increases the oral bioavailability of lopinavir.
Methods
Cell lines and tissue culture
The polarized canine kidney cell line Madin-Darby canine kidney (MDCK)-II was used in transport assays. Human ABCB1- and ABCC2-transduced MDCK-II subclones were described previously (Evers et al., 1997; 1998;). The MDCK-II cells and transduced subclones were cultured in Dulbecco's modified Eagle's medium supplied with Glutamax (Invitrogen, Carlsbad, CA, USA) and supplemented with 50 units·mL−1 penicillin, 50 µg·mL−1 streptomycin and 10% (v/v) fetal calf serum (Invitrogen) at 37°C in the presence of 5% CO2. The cells were trypsinized every 3 to 4 days for subculturing.
Transport assay
Transport assays were performed as reported previously with minor modifications (Huisman et al., 2002). Briefly, cells were seeded on microporous polycarbonate membrane filters (Transwell 3414; Costar, Corning, NY, USA) at a density of 1.0 × 106 cells per well in 2 mL of complete medium and were subsequently grown for 3 days. Two hours before the start of the experiment, complete medium in the apical and basolateral compartments was replaced with Optimem medium (Life Technologies, Breda, the Netherlands), without serum, and with or without ritonavir (50 µM). In addition, 5 µM of elacridar was present in experiments with ABCC2 cells, to inhibit the endogenous P-glycoprotein activity. At t = 0 h the experiment was started by replacing the medium with fresh Optimem medium with 5 µM lopinavir in the appropriate compartment. Depending on the cell line and experiment, this was done in the presence of 50 µM ritonavir and/or 5 µM elacridar. Cells were incubated at 37°C in 5% CO2, and 100 µL aliquots of medium were taken at t = 2 and 4 h. Samples were stored at −20°C until analysis by LC-MS as described below. Membrane tightness was assessed using [3H]-inulin (Amersham, Little Chalfont, UK). Leakage was not allowed to be >1% of the total added radioactivity per hour.
Animals
Mice were housed and handled according to institutional guidelines complying with Dutch legislation. All mice used in this study had a >99% FVB genetic background and were between 8 and 14 weeks of age. All experiments were done using male mice. Animals were kept in a temperature-controlled environment with a 12 h light/12 h dark cycle and received a standard diet (AM-II, Hope Farms, Woerden, the Netherlands) and acidified water ad libitum.
Abcb1a/b−/− (Schinkel et al., 1997), Abcc2−/− (Vlaming et al., 2006) and cytochrome P450 3A knockout (Cyp3a−/−) mice (van Herwaarden et al., 2007) were crossed to obtain Cyp3a/Abcb1a/b/Abcc2−/− triple knockout mice. Genotypes of mice were evaluated by PCR as described in the original publications. In addition, homozygous Cyp3a−/−Tg-3A4Hep[Cyp3a−/− mice expressing CYP3A4 exclusively in the liver (previously Cyp3a−/−A)] and Cyp3a−/−Tg-3A4Int[Cyp3a−/− mice expressing CYP3A4 exclusively in the intestine (previously Cyp3a−/−V)] mice were crossed to obtain homozygous Cyp3a−/−Tg-3A4Hep/Int (Cyp3a−/− mice expressing CYP3A4 in both liver and intestine) mice, and genotypes were verified as described (van Herwaarden et al., 2007). Intrinsic docetaxel clearance values of hepatic and intestinal microsomes derived from the CYP3A4-transgenic tissues were similar to those of wild-type mouse and human microsomes, suggesting physiologically relevant activity levels of the transgenic CYP3A4 (van Herwaarden et al., 2007).
Lopinavir plasma pharmacokinetics
Lopinavir with or without ritonavir was formulated in ethanol/propylene glycol [19:81 (v/v)] and administered by oral gavage into the stomach of male mice. To minimize variation in absorption, mice were fasted for 2 h before lopinavir was administered. Multiple blood samples (∼40 µL) were collected from the tail vein at several time points up to 24 h using heparinized capillary tubes (Oxford Labware, St. Louis, MO, USA). Blood samples were centrifuged at 2100× g for 10 min at 4°C, and the plasma fraction was collected, made up to 50 µL with human plasma, and stored at −20°C until analysis.
Drug analysis
Lopinavir and ritonavir concentrations in plasma samples were determined using a previously described sensitive assay using liquid chromatography coupled to tandem mass spectrometry (ter Heine et al., 2007). Possible interference or matrix issues for analysing mouse plasma with this assay were not observed.
Statistical procedures
Pharmacokinetic calculations and statistical analysis were performed as described (van Waterschoot et al., 2009). The two-sided unpaired Student's t-test was used for statistical analysis. Data obtained with single and combination knockout mice were compared with data obtained with wild-type mice. Differences were considered statistically significant when P < 0.05. Data are presented as mean ± SD.
Materials
Lopinavir and ritonavir were purchased from Sequoia Research Products Ltd. (Pangbourne, UK). Elacridar (GF120918) was a kind gift of GlaxoSmithKline (Research Triangle Park, Durham, NC, USA). All other chemicals were of analytical grade and obtained from commercial sources.
Results
In vitro transport of lopinavir by ABCB1 and ABCC2
To determine whether lopinavir is transported by ABCB1 and ABCC2, we analysed transepithelial transport using monolayers of MDCK-II cells transfected with human ABCB1 or ABCC2. In MDCK-II parental cells, the translocation of lopinavir (5 µM) in the apical direction was higher than in the basolateral direction (Figure 1A). In the ABCB1-transfected MDCK-II cells, this apically directed translocation was significantly increased whereas basolaterally directed translocation was sharply decreased, resulting in an increase in apical over basolateral transport ratio (r) from 2 to 32 (Figure 1C). In the presence of ritonavir (50 µM), the lopinavir transport was completely inhibited in the parental cells, but only modestly in the ABCB1-transfected cells (Figure 1B and D). The apically directed transport in the parental cell line can most likely be attributed to low-level endogenous canine MDR1 activity (Ito et al., 1999b; Guo et al., 2002). Accordingly, the MDR1 inhibitor elacridar was added to parent and ABCC2-transfected cells to allow a fair assessment of ABCC2 transport activity (Figure 1E–H) (Huisman et al., 2002). The vectorial translocation of lopinavir, however, was not different in ABCC2-transfected cells compared with that in parental cells (Figure 1G and H). Taken together, these in vitro results demonstrated that lopinavir was efficiently transported by ABCB1 but not by ABCC2, and that ritonavir was a modest inhibitor of ABCB1-mediated lopinavir transport.
Figure 1.

Transepithelial transport of lopinavir (5 µM) in MDCK-II cells either non-transfected (A, B, E and F), transfected with human ABCB1 (C and D) or human ABCC2 (G and H) cDNA in the absence (A, C, E and G) or presence (B, D, F and H) of ritonavir (50 µM). Parent and ABCC2 cells were incubated in the presence of 5 µM elacridar (C, D, G and H). At t = 0 h, lopinavir was applied in one compartment (apical or basolateral) and the percentage of lopinavir transported to the opposite compartment at t = 2 and 4 h was measured by LC-MS/MS (n = 3). Data represent means ± SD. r represents the relative transport ratio (i.e. the apically directed translocation divided by the basolaterally directed translocation) at t = 4 h. MDCK, Madin-Darby canine kidney; MDR1, multidrug resistance protein 1; MRP2, multidrug resistance protein 2.
Individual and combined impact of CYP3A, ABCB1 and ABCC2 on lopinavir pharmacokinetics
We further evaluated the in vivo role of ABCB1 and ABCC2 in lopinavir oral pharmacokinetics by utilizing Abcb1a/b and Abcc2 knockout mice. Lopinavir was administered orally at 25 mg·kg−1 to wild-type and knockout mice and at various time points blood samples were taken. In line with our in vitro results, we found a marked increase (8.6-fold) in systemic exposure (area under the plasma concentration – time curve, AUC) in Abcb1a/b−/− mice when compared with wild-type mice (Table 1). In contrast, no significant increase in systemic exposure could be determined for Abcc2−/− mice (Table 1). Because Abcb1a/b and Abcc2 can sometimes take over each other's function (Lagas et al., 2006), we also administered lopinavir to Abcb1a/b/Abcc2 combination knockout mice. The AUC in Abcb1a/b/Abcc2−/− mice (Table 1), however, was not significantly different from that in Abcb1a/b−/− mice, further supporting the observation that Abcc2 is not an important determinant of lopinavir plasma pharmacokinetics.
Table 1.
Plasma pharmacokinetic parameters after oral administration of 25 mg·kg−1 lopinavir with or without 25 mg·kg−1 ritonavir
|
AUC(0–24h) (µg-h·mL−1) |
Fold vs. wild-type |
Cmax (µg·mL−1) |
Tmax (h) |
AUC(0–24h) (µg-h·mL−1) |
Fold vs. without ritonavir |
Cmax (µg·mL−1) |
Tmax (h) | |
|---|---|---|---|---|---|---|---|---|
| +Vehicle | +Ritonavir | |||||||
| Wild-type | 0.054 ± 0.034 | 1 | 0.11 ± 0.095 | 0.17 ± 0.0 | 57.4 ± 26.2†† | 1063 | 5.42 ± 1.44††† | 5.78 ± 3.85† |
| Abcb1a/b−/− | 0.465 ± 0.316* | 8.6 | 0.34 ± 0.16* | 0.17 ± 0.0 | – | – | – | – |
| Abcc2−/− | 0.248 ± 0.249 | 4.6 | 0.31 ± 0.30 | 0.21 ± 0.08 | – | – | – | – |
| Abcb1a/b/Abcc2−/− | 0.573 ± 0.281* | 10.6 | 0.41 ± 0.17* | 0.25 ± 0.10 | 120 ± 32††† | 209 | 8.59 ± 2.21††† | 6.22 ± 1.54 ††† |
| Cyp3a−/− | 118 ± 52** | 2185 | 8.14 ± 3.31** | 4.33 ± 2.96* | 148 ± 28 | 1.3 | 8.78 ± 2.67 | 8.0 ± 0.0 |
| Cyp3a/Abcb1a/b−/− | 120 ± 16*** | 2222 | 7.52 ± 1.38*** | 6.67 ± 1.54*** | – | – | – | – |
| Cyp3a/Abcb1a/b/Abcc2−/− | 145 ± 31*** | 2685 | 9.81 ± 2.56*** | 8.0 ± 0.0*** | 232 ± 32† | 1.6 | 11.4 ± 1.88 | 11.1 ± 11.6 |
Area under the plasma concentration versus time curve (AUC), maximal concentration obtained after oral administration (Cmax) and the corresponding time of maximum concentration (Tmax) are indicated. Values represent the means ± SD (n = 3–4).
P < 0.05
P < 0.01
P < 0.001, compared with wild-type mice
P < 0.05
P < 0.01
P < 0.001, compared with the same strain without ritonavir.
In addition to the drug transporters, we also studied the dependence of lopinavir pharmacokinetics on CYP3A using Cyp3a−/− mice (van Herwaarden et al., 2007). We note that lopinavir metabolism appears highly comparable between mouse and human in terms of rate and metabolic profile (Kumar et al., 1999). Interestingly, a more than 2000-fold increase in systemic exposure was observed in Cyp3a−/− mice when compared with wild-type mice (Figure 2A; Table 1). These data illustrate that CYP3A is by far the most important determinant of lopinavir pharmacokinetics, greatly surpassing any effect of drug transporters.
Figure 2.

Plasma concentration–time curves of lopinavir in male wild-type, Abcb1a/b/Abcc2−/−, Cyp3a−/− and Cyp3a/Abcb1a/b/Abcc2−/− mice after oral administration of lopinavir (25 mg·kg−1) in the absence (A) and presence (B) of ritonavir (25 mg·kg−1). The corresponding plasma concentration–time curves of ritonavir are given in (C). Data are shown as the mean concentration, and error bars represent the SD (n = 3–4 per time point). Cyp3a−/−, cytochrome P450 3A knockout mice.
We have recently demonstrated that the simultaneous absence of both CYP3A and P-glycoprotein leads to a disproportionate increase in systemic exposure for the anti-cancer drug docetaxel (van Waterschoot et al., 2009). By utilizing Cyp3a/Abcb1a/b−/− and Cyp3a/Abcb1a/b/Abcc2−/− combination knockout mice, we evaluated whether an analogous effect could also be observed for oral lopinavir pharmacokinetics. It appeared, however, that plasma levels in both combination knockout strains were in the same range as observed in Cyp3a−/− mice with no significant differences in AUC between Cyp3a−/−, Cyp3a/Abcb1a/b−/− and Cyp3a/Abcb1a/b/Abcc2−/− (Figure 2: Table 1). Thus, whereas we observed a marked (8.6-fold) effect of Abcb1a/b absence in a CYP3A-proficient situation, this was no longer seen in the CYP3A-deficient background (Table 1).
Effects of ritonavir co-administration on the oral bioavailability of lopinavir
Ritonavir is considered to be an inhibitor of not only CYP3A but also Abcb1a/b and Abcc2 (Drewe et al., 1999; Gutmann et al., 1999; Huisman et al., 2001). Although ritonavir is known to increase the oral bioavailability of lopinavir, it is not clear whether this can be solely attributed to CYP3A inhibition or that inhibition of ABCB1 and ABCC2 contributes to the overall result. To evaluate this, we co-administered ritonavir (25 mg·kg−1) with lopinavir (25 mg·kg−1) to wild-type, Abcb1a/b/Abcc2−/−, Cyp3a−/− and Cyp3a/Abcb1a/b/Abcc2−/− mice and subsequently determined lopinavir plasma levels. Interestingly, the AUC in wild-type mice was more than 1000-fold increased when ritonavir was co-administered (Figure 2; Table 1), illustrating a major effect of ritonavir on the oral bioavailability of lopinavir. In contrast, no significant difference in systemic exposure was seen between Cyp3a−/− mice that received lopinavir in combination with ritonavir and Cyp3a−/− mice that only received lopinavir. In addition, in Abcb1a/b/Abcc2−/− mice plasma levels were highly increased (209-fold) when ritonavir was co-administered and the AUC reached a similar level as in Cyp3a−/− mice (Table 1). Collectively, these data indicate that ritonavir increases the oral bioavailability of lopinavir primarily by inhibition of CYP3A.
Relative importance of intestinal and hepatic lopinavir metabolism
Evidence is accumulating that intestinal CYP3A metabolism can often strongly affect the pharmacokinetics of orally administered drugs (Kolars et al., 1991; Wu et al., 1995; Paine et al., 1996; Lown et al., 1997; van Herwaarden et al., 2007). As our data above indicate that CYP3A is a major determinant of oral lopinavir pharmacokinetics, we further investigated how relevant intestinal versus hepatic metabolism was for the disposition of lopinavir. For this purpose, we used transgenic mice that have either hepatic or intestinal specific CYP3A4 expression in a murine Cyp3a knockout background, denoted as Cyp3a−/−Tg-3A4Hep and Cyp3a−/−Tg-3A4Int mice respectively (van Herwaarden et al., 2007). In addition, an analogous mouse strain with transgenic CYP3A4 expression in both intestine and liver (Cyp3a−/−Tg-3A4Hep/Int) was studied. The transgenic CYP3A4 activity in liver or intestine of these mouse strains is comparable with the endogenous CYP3A activity in the respective organs of wild-type mice (van Herwaarden et al., 2007), indicating physiologically relevant levels of CYP3A4. Consistent with our observations in wild-type mice, we found that the systemic lopinavir exposure in Cyp3a−/−Tg-3A4Hep/Int mice was dramatically reduced (>4400-fold) when compared with Cyp3a−/− mice (Table 2) and was in the same order as we observed for wild-type mice (Table 1). Note, however, that in this experiment we used a fourfold higher lopinavir dose (i.e. 100 mg·kg−1) to allow quantification of the lopinavir plasma levels in all strains up to at least 4 h after administration. Interestingly, exclusive expression of CYP3A4 in either the intestine (Cyp3a−/−Tg-3A4Int) or in the liver (Cyp3a−/−Tg-3A4Hep) could each by itself already reduce the systemic exposure of lopinavir substantially (135- and 103-fold, respectively) when compared with Cyp3a−/− mice (Figure 3; Table 2).
Table 2.
Plasma pharmacokinetic parameters after oral administration of 100 mg·kg−1 lopinavir with or without 25 mg·kg−1 ritonavir
|
AUC(0–24h) (µg-h·mL−1) |
Fold decrease vs. Cyp3a−/− |
Cmax (µg·mL−1) |
Tmax (h) |
AUC(0–24h) (µ-h·mL)−1 |
Fold vs. without ritonavir |
Cmax (µg·mL−1) |
Tmax (h) | |
|---|---|---|---|---|---|---|---|---|
| +Vehicle | +Ritonavir | |||||||
| Cyp3a−/− | 372 ± 20 | 1 | 23.3 ± 2.09 | 5.0 ± 2.0 | 317 ± 58 | 0.9 | 17.4 ± 4.3† | 5.4 ± 3.2 |
| Cyp3a−/−Tg-3A4Hep | 3.60 ± 0.82*** | 103 | 0.27 ± 0.00*** | 0.44 ± 0.13** | 97.6 ± 30.9†† | 27 | 8.3 ± 3.6†† | 5.3 ± 2.3†† |
| Cyp3a−/−Tg-3A4Int | 2.75 ± 1.93*** | 135 | 0.54 ± 0.44*** | 1.44 ± 1.74*** | 52.0 ± 11.8††† | 19 | 6.74 ± 1.78††† | 1.31 ± 0.38 |
| Cyp3a−/−Tg-3A4Hep/Int | 0.084 ± 0.068*** | 4429 | 0.10 ± 0.08*** | 0.25 ± 0.00** | 1.78 ± 0.39††† | 21 | 0.58 ± 0.18†† | 0.42 ± 0.29 |
Area under the plasma concentration versus time curve (AUC), maximal concentration obtained after oral administration (Cmax) and the corresponding time of maximum concentration (Tmax) are indicated. Values represent the means ± SD (n = 3–4).
P < 0.05
P < 0.01
P < 0.001, compared with Cyp3a−/−Tg-3A4Hep/Int mice
P < 0.05
P < 0.01
P < 0.001, compared with the same strain without ritonavir.
Cyp3a−/−, cytochrome P450 3A knockout mice; Cyp3a−/−Tg-3A4Hep, Cyp3a knockout mice with liver-specific transgenic expression of human CYP3A4; Cyp3a−/−Tg-3A4Int, Cyp3a knockout mice with intestine-specific transgenic expression of human CYP3A4.
Figure 3.

Plasma concentration–time curves of lopinavir in male Cyp3a−/−Tg-3A4Hep/Int, Cyp3a−/−Tg-3A4Hep, Cyp3a−/−Tg-3A4Int and Cyp3a−/− mice after oral administration of lopinavir (100 mg·kg−1) in the absence (A) and presence (B) of ritonavir (25 mg·kg−1). The corresponding plasma concentration–time curves of ritonavir are given in (C). Data are shown as the mean concentration, and error bars represent the SD (n = 3–4 per time point). Cyp3a−/−, cytochrome P450 3A knockout mice; Cyp3a−/−Tg-3A4Hep, Cyp3a knockout mice with liver-specific transgenic expression of human CYP3A4; Cyp3a−/−Tg-3A4Int, Cyp3a knockout mice with intestine-specific transgenic expression of human CYP3A4.
Ritonavir increases lopinavir bioavailability by inhibiting intestinal and hepatic CYP3A
To assess whether ritonavir primarily inhibits intestinal or hepatic CYP3A4 we co-administered ritonavir (25 mg·kg−1) with lopinavir (100 mg·kg−1) to the CYP3A4-transgenic mouse strains. Ritonavir co-administration increased the lopinavir AUC roughly 20–30-fold in all strains that have transgenic CYP3A4 expression but not in Cyp3a−/− mice (Figure 3A and B; Table 2). When compared with the Cyp3a−/− mice, lopinavir plasma levels remained rather low in mice that have both intestinal and hepatic CYP3A4 expression (Cyp3a−/−Tg-3A4Hep/Int) (Figure 3A and B). Furthermore, the increase in lopinavir exposure in this strain was also much less pronounced than we observed when ritonavir was co-administered to wild-type mice (Figure 2; Table 1), which also had (mouse) CYP3A expression in both intestine and liver. A possible reason for this might be that ritonavir was rapidly degraded in the CYP3A4-expressing mouse strains, especially the Cyp3a−/−Tg-3A4Hep/Int line. Indeed, ritonavir levels were highly affected by CYP3A4 and were much more reduced in Cyp3a−/−Tg-3A4Hep/Int mice than in wild-type mice (Figures 2C and 3C). For example, whereas we could detect ritonavir levels up to 24 h after administration in wild-type mice, in Cyp3a−/−Tg-3A4Hep/Int mice levels were already below the limit of quantification at 4 h. Most likely, this discrepancy between Cyp3a−/−Tg-3A4Hep/Int and wild-type can be attributed to differences in the kinetic properties (Km, Vmax) of ritonavir metabolism by human CYP3A4 and the mouse CYP3A enzymes. Regardless of this difference, our data indicated that ritonavir could inhibit both intestinal and hepatic CYP3A4 and that CYP3A4 in both locations contributed equally to the lopinavir exposure.
Discussion and conclusions
Our results demonstrated that CYP3A was a major determinant of oral lopinavir pharmacokinetics, greatly surpassing the effects of Abcb1. In addition, Abcc2 had no noticeable effect on lopinavir exposure. Interestingly, no further increase in lopinavir systemic exposure could be observed when Abcb1a/b/Abcc2 was absent in addition to CYP3A. More detailed examination of the role of CYP3A indicated that both hepatic and intestinal CYP3A activity had a major impact on the oral bioavailability of lopinavir. Furthermore, our study demonstrated that ritonavir affected lopinavir pharmacokinetics by inhibition of both intestinal and hepatic CYP3A.
The systemic exposure of lopinavir in Cyp3a−/− mice was more than 2000-fold increased when compared with wild-type, unambiguously demonstrating the importance of CYP3A in lopinavir pharmacokinetics. Furthermore, our results show that both intestinal as well as hepatic CYP3A4 could reduce lopinavir exposure considerably. These results differ from our previous study in which we investigated the relative importance of intestinal versus hepatic CYP3A4 metabolism for docetaxel (van Herwaarden et al., 2007). Whereas for oral lopinavir we found a roughly comparable effect of intestinal and hepatic CYP3A4, this balance was much more in favour of intestinal CYP3A4 metabolism in case of orally administered docetaxel (van Herwaarden et al., 2007). So, perhaps not surprisingly, the relative importance of intestinal and hepatic CYP3A-mediated metabolism is substrate-dependent. Nonetheless, although our results show that both intestinal and hepatic CYP3A4 can limit the lopinavir exposure to a similar extent, one has to consider that after oral administration, lopinavir will first be subjected to intestinal metabolism and so only a minor fraction of the initial dose will reach the liver. As such, in terms of absolute amount of drug metabolized, intestinal CYP3A4 is still likely to account for the majority of the metabolism of lopinavir.
The majority of PIs are substrates for ABCB1 and it has been shown that ABCB1 can limit the oral bioavailability of PIs (see Kim et al., 1998). In addition to ABCB1, the drug transporter ABCC2 can also have an important effect on the oral bioavailability of drugs (see Lagas et al., 2006). Recently, Agarwal et al. (2007) reported that lopinavir, at low concentrations, was a substrate for ABCC2 in vitro. We, however, could not detect substantial active transport of lopinavir by ABCC2 at 5 µM. In addition, we also did not find a significant difference in systemic lopinavir exposure between Abcc2−/− and wild-type mice. Furthermore, no difference between Abcb1a/b−/− and Abcb1a/b/Abcc2−/− mice was observed. We note that many other PIs have been identified as ABCC2 substrates (Huisman et al., 2002). In the case of lopinavir, which is to our knowledge the first PI evaluated in Abcc2−/− mice, we thus found no obvious role for this drug transporter. Whether ABCC2 could affect the pharmacokinetics of other PIs remains to be determined.
Given the prominent role of CYP3A in the pharmacokinetics of lopinavir, the known inter- and intra-individual variation in CYP3A activity can have profound effects on the therapeutic effectiveness and toxicity of lopinavir. There is indeed large variation in lopinavir plasma levels between patients (Guiard-Schmid et al., 2003). Ritonavir might reduce the inter-individual variation in lopinavir exposure to some extent but, as also observed in this study (Figure 3C), ritonavir levels itself can also be highly affected by CYP3A. Indeed, it has been reported that there is not only considerable inter-individual variation in lopinavir but also in ritonavir plasma levels in patients (Guiard-Schmid et al., 2003). Accordingly, lopinavir plasma levels have been found to positively correlate with ritonavir levels in patients (Guiard-Schmid et al., 2003; Crommentuyn et al., 2005).
Several drug–drug interactions affecting lopinavir have been documented (Crommentuyn et al., 2004; van der Lee et al., 2007; Corona et al., 2008; Falcon and Kakuda, 2008; Fulco et al., 2008; Kiser et al., 2008), which can probably all be attributed to interactions at the CYP3A level. For example, when lopinavir is given in combination with efavirenz or nevirapine, two known inducers of CYP3A4, the lopinavir exposure is significantly reduced (Bertz et al., 2002; Bergshoeff et al., 2005). Not only other drugs but also food constituents can affect CYP3A activity through either inhibition or induction of the enzyme (Mandlekar et al., 2006). For example, grapefruit juice can potently inhibit intestinal CYP3A (Lown et al., 1997; Paine and Oberlies, 2007). This interaction might be of particular relevance as we demonstrated that intestinal CYP3A4 significantly contributes to lopinavir metabolism. In addition, also some herbal products, which are widely used among HIV patients, are known to interfere with CYP3A activity (van den Bout-van den Beukel et al., 2006). An interesting case study of an HIV patient taking lopinavir in combination with herbal products (evening primrose, colayur and rheum frangula) was recently reported (van den Bout-van den Beukel et al., 2008). This patient attained toxic lopinavir levels and suffered from severe diarrhea. It was concluded that inhibition of CYP3A4 by the herbals was the most plausible explanation for the observed toxic lopinavir levels (van den Bout-van den Beukel et al., 2008). Indeed, efamol, an ingredient of evening primrose, has been found to inhibit CYP3A4 (Zou et al., 2002), although little is known about the inhibition potential of the other herbs. These examples, together with our present data, underscore the importance of CYP3A in lopinavir treatment. Variable CYP3A activity as well as possible lopinavir–drug, food or herbal interactions could result in ineffective treatment or toxicity. Clearly, these interactions are not always easy to predict.
It has been suggested that the combined activity of CYP3A and drug transporters is important in limiting the systemic exposure of many orally administered drugs (Watkins, 1997; Ito et al., 1999a; Benet and Cummins, 2001; Kivisto et al., 2004; Garmire and Hunt, 2008). Recently, we demonstrated that when Cyp3a/Abcb1a/b−/− mice were challenged with docetaxel, a more than 70-fold increase in systemic exposure after oral administration was observed when compared with wild-type. Importantly, this effect was more than additive when compared with the single Cyp3a−/− (12-fold) and Abcb1a/b−/− (threefold) mice, illustrating a disproportionate increase in oral bioavailability when both systems are absent or inhibited. Interestingly, in the present study we also found a significant increase in lopinavir exposure in both Cyp3a−/− and Abcb1a/b/(Abcc2)−/− mice when compared with wild-type mice, but we did not observe a further increase in lopinavir exposure in Cyp3a/Abcb1a/b/(Abcc2)−/− mice compared with Cyp3a−/− mice. This indicates that the function of Abcb1a/b/(Abcc2)−/− is only noticeable at lower tissue and plasma levels but not at relatively higher levels reached when CYP3A is absent. The most likely explanation for this is that CYP3A activity, which drastically lowers lopinavir tissue and plasma concentrations, prevents saturation of Abcb1a/b and Abcc2 in intestine and liver. Apparently, both Abcb1 and Abcc2 have a relatively low maximal clearance rate for lopinavir and so these transporters become relatively easily saturated. Note that this is consistent with the in vitro study of Agarwal et al. (2007), who could readily detect lopinavir transport by ABCB1 and ABCC2 at concentrations of 0.5 µM, but scarcely any at higher concentrations (5–25 µM). An important theoretical argument of the proposed interplay between CYP3A and drug transporters is that the function of the drug transporter would prevent saturation of CYP3A (e.g. Benet and Cummins, 2001; Kivisto et al., 2004). Yet, in the case of lopinavir it seems that in vivo it is not so much the drug transporters that prevent saturation of CYP3A but rather that CYP3A prevents saturation of the drug transporters. This is an interesting finding of which, to our knowledge, no examples have been previously described. It also clearly illustrates how entangled and unpredictable the interplay between CYP3A and drug transporters can be. It is therefore important to be aware that the interplay between CYP3A and drug transporters cannot be simply generalized and will be highly substrate- and dose-dependent.
Acknowledgments
We thank Canan Karakaya for excellent technical assistance. This work was supported by the Technical Sciences Foundation of the Netherlands Organization for Scientific Research (NWO/STW).
Glossary
Abbreviations
- AUC
area under the plasma concentration – time curve
- Cmax
maximum drug concentration in plasma
- CYP3A
cytochrome P450 3A
- Cyp3a−/−
cytochrome P450 3A knockout mice
- Cyp3a−/−Tg-3A4Hep
Cyp3a knockout mice with liver-specific transgenic expression of human CYP3A4
- Cyp3a−/−Tg-3A4Int
Cyp3a knockout mice with intestine-specific transgenic expression of human CYP3A4
- HIV
human immunodeficiency virus
- MDCK
Madin-Darby canine kidney
- MDR1
multidrug resistance protein 1
- MRP2
multidrug resistance protein 2
- PI
HIV protease inhibitor
- Tmax
time to maximum drug concentration in plasma
Conflicts of interest
The authors declare no conflicts of interest.
References
- Agarwal S, Pal D, Mitra AK. Both P-gp and MRP2 mediate transport of Lopinavir, a protease inhibitor. Int J Pharm. 2007;339:139–147. doi: 10.1016/j.ijpharm.2007.02.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alexander SPH, Mathie A, Peters JA. Guide to Receptors and Channels (GRAC), 4th edn. Br J Pharmacol. 2009;158(Suppl 1):S1–S254. doi: 10.1111/j.1476-5381.2009.00499.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benet LZ, Cummins CL. The drug efflux-metabolism alliance: biochemical aspects. Adv Drug Deliv Rev. 2001;50:S3–S11. doi: 10.1016/s0169-409x(01)00178-8. [DOI] [PubMed] [Google Scholar]
- Bergshoeff AS, Fraaij PL, Ndagijimana J, Verweel G, Hartwig NG, Niehues T, et al. Increased dose of lopinavir/ritonavir compensates for efavirenz-induced drug-drug interaction in HIV-1-infected children. J Acquir Immune Defic Syndr. 2005;39:63–68. doi: 10.1097/01.qai.0000155203.89350.85. [DOI] [PubMed] [Google Scholar]
- Bertz R, Foit C, Burt D, Grebner K, Marsh T, Bernstein B, et al. Assessment of the effect of nevirapine on the pharmacokinetics of lopinavir/ritonavir (Kaletra) after multiple dosing in HIV-infected adults. Int Conf AIDS. 2002;14 abstract no. 4565. [Google Scholar]
- van den Bout-van den Beukel CJ, Koopmans PP, van der Ven AJ, De Smet PA, Burger DM. Possible drug-metabolism interactions of medicinal herbs with antiretroviral agents. Drug Metab Rev. 2006;38:477–514. doi: 10.1080/03602530600754065. [DOI] [PubMed] [Google Scholar]
- van den Bout-van den Beukel CJ, Bosch ME, Burger DM, Koopmans PP, van der Ven AJ. Toxic lopinavir concentrations in an HIV-1 infected patient taking herbal medications. AIDS. 2008;22:1243–1244. doi: 10.1097/QAD.0b013e32830261f4. [DOI] [PubMed] [Google Scholar]
- Corona G, Vaccher E, Sandron S, Sartor I, Tirelli U, Innocenti F, et al. Lopinavir-ritonavir dramatically affects the pharmacokinetics of irinotecan in HIV patients with Kaposi's sarcoma. Clin Pharmacol Ther. 2008;83:601–606. doi: 10.1038/sj.clpt.6100330. [DOI] [PubMed] [Google Scholar]
- Crommentuyn KM, Mulder JW, Sparidans RW, Huitema AD, Schellens JH, Beijnen JH. Drug-drug interaction between itraconazole and the antiretroviral drug lopinavir/ritonavir in an HIV-1-infected patient with disseminated histoplasmosis. Clin Infect Dis. 2004;38:73–75. doi: 10.1086/382675. [DOI] [PubMed] [Google Scholar]
- Crommentuyn KM, Kappelhoff BS, Mulder JW, Mairuhu AT, van Gorp EC, Meenhorst PL, et al. Population pharmacokinetics of lopinavir in combination with ritonavir in HIV-1-infected patients. Br J Clin Pharmacol. 2005;60:378–389. doi: 10.1111/j.1365-2125.2005.02455.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dresser GK, Spence JD, Bailey DG. Pharmacokinetic-pharmacodynamic consequences and clinical relevance of cytochrome P450 3A4 inhibition. Clin Pharmacokinet. 2000;38:41–57. doi: 10.2165/00003088-200038010-00003. [DOI] [PubMed] [Google Scholar]
- Drewe J, Gutmann H, Fricker G, Torok M, Beglinger C, Huwyler J. HIV protease inhibitor ritonavir: a more potent inhibitor of P-glycoprotein than the cyclosporine analog SDZ PSC 833. Biochem Pharmacol. 1999;57:1147–1152. doi: 10.1016/s0006-2952(99)00026-x. [DOI] [PubMed] [Google Scholar]
- Evers R, Cnubben NH, Wijnholds J, van Deemter L, van Bladeren PJ, Borst P. Transport of glutathione prostaglandin A conjugates by the multidrug resistance protein 1. FEBS Lett. 1997;419:112–116. doi: 10.1016/s0014-5793(97)01442-7. [DOI] [PubMed] [Google Scholar]
- Evers R, Kool M, van Deemter L, Janssen H, Calafat J, Oomen LC, et al. Drug export activity of the human canalicular multispecific organic anion transporter in polarized kidney MDCK cells expressing cMOAT (MRP2) cDNA. J Clin Invest. 1998;101:1310–1319. doi: 10.1172/JCI119886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Falcon RW, Kakuda TN. Drug interactions between HIV protease inhibitors and acid-reducing agents. Clin Pharmacokinet. 2008;47:75–89. doi: 10.2165/00003088-200847020-00001. [DOI] [PubMed] [Google Scholar]
- Fulco PP, Zingone MM, Higginson RT. Possible antiretroviral therapy-warfarin drug interaction. Pharmacotherapy. 2008;28:945–949. doi: 10.1592/phco.28.7.945. [DOI] [PubMed] [Google Scholar]
- Garmire LX, Hunt CA. In silico methods for unraveling the mechanistic complexities of intestinal absorption: metabolism-efflux transport interactions. Drug Metab Dispos. 2008;36:1414–1424. doi: 10.1124/dmd.107.020164. [DOI] [PubMed] [Google Scholar]
- Guengerich FP. Cytochrome P-450 3A4: regulation and role in drug metabolism. Annu Rev Pharmacol Toxicol. 1999;39:1–17. doi: 10.1146/annurev.pharmtox.39.1.1. [DOI] [PubMed] [Google Scholar]
- Guiard-Schmid JB, Poirier JM, Meynard JL, Bonnard P, Gbadoe AH, Amiel C, et al. High variability of plasma drug concentrations in dual protease inhibitor regimens. Antimicrob Agents Chemother. 2003;47:986–990. doi: 10.1128/AAC.47.3.986-990.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guo A, Marinaro W, Hu P, Sinko PJ. Delineating the contribution of secretory transporters in the efflux of etoposide using Madin-Darby canine kidney (MDCK) cells overexpressing P-glycoprotein (Pgp), multidrug resistance-associated protein (MRP1), and canalicular multispecific organic anion transporter (cMOAT) Drug Metab Dispos. 2002;30:457–463. doi: 10.1124/dmd.30.4.457. [DOI] [PubMed] [Google Scholar]
- Gutmann H, Fricker G, Drewe J, Toeroek M, Miller DS. Interactions of HIV protease inhibitors with ATP-dependent drug export proteins. Mol Pharmacol. 1999;56:383–389. doi: 10.1124/mol.56.2.383. [DOI] [PubMed] [Google Scholar]
- ter Heine R, Alderden-Los CG, Rosing H, Hillebrand MJ, van Gorp EC, Huitema AD, et al. Fast and simultaneous determination of darunavir and eleven other antiretroviral drugs for therapeutic drug monitoring: method development and validation for the determination of all currently approved HIV protease inhibitors and non-nucleoside reverse transcriptase inhibitors in human plasma by liquid chromatography coupled with electrospray ionization tandem mass spectrometry. Rapid Commun Mass Spectrom. 2007;21:2505–2514. doi: 10.1002/rcm.3119. [DOI] [PubMed] [Google Scholar]
- van Herwaarden AE, Wagenaar E, van der Kruijssen CM, van Waterschoot RA, Smit JW, Song JY, et al. Knockout of cytochrome P450 3A yields new mouse models for understanding xenobiotic metabolism. J Clin Invest. 2007;117:3583–3592. doi: 10.1172/JCI33435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huisman MT, Smit JW, Wiltshire HR, Hoetelmans RM, Beijnen JH, Schinkel AH. P-glycoprotein limits oral availability, brain, and fetal penetration of saquinavir even with high doses of ritonavir. Mol Pharmacol. 2001;59:806–813. doi: 10.1124/mol.59.4.806. [DOI] [PubMed] [Google Scholar]
- Huisman MT, Smit JW, Crommentuyn KM, Zelcer N, Wiltshire HR, Beijnen JH, et al. Multidrug resistance protein 2 (MRP2) transports HIV protease inhibitors, and transport can be enhanced by other drugs. AIDS. 2002;16:2295–2301. doi: 10.1097/00002030-200211220-00009. [DOI] [PubMed] [Google Scholar]
- Ito K, Kusuhara H, Sugiyama Y. Effects of intestinal CYP3A4 and P-glycoprotein on oral drug absorption – theoretical approach. Pharm Res. 1999a;16:225–231. doi: 10.1023/a:1018872207437. [DOI] [PubMed] [Google Scholar]
- Ito S, Woodland C, Sarkadi B, Hockmann G, Walker SE, Koren G. Modeling of P-glycoprotein-involved epithelial drug transport in MDCK cells. Am J Physiol. 1999b;277:F84–F96. doi: 10.1152/ajprenal.1999.277.1.F84. [DOI] [PubMed] [Google Scholar]
- Kim RB, Fromm MF, Wandel C, Leake B, Wood AJ, Roden DM, et al. The drug transporter P-glycoprotein limits oral absorption and brain entry of HIV-1 protease inhibitors. J Clin Invest. 1998;101:289–294. doi: 10.1172/JCI1269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kiser JJ, Gerber JG, Predhomme JA, Wolfe P, Flynn DM, Hoody DW. Drug/drug interaction between lopinavir/ritonavir and rosuvastatin in healthy volunteers. J Acquir Immune Defic Syndr. 2008;47:570–578. doi: 10.1097/QAI.0b013e318160a542. [DOI] [PubMed] [Google Scholar]
- Kivisto KT, Niemi M, Fromm MF. Functional interaction of intestinal CYP3A4 and P-glycoprotein. Fundam Clin Pharmacol. 2004;18:621–626. doi: 10.1111/j.1472-8206.2004.00291.x. [DOI] [PubMed] [Google Scholar]
- Kolars JC, Awni WM, Merion RM, Watkins PB. First-pass metabolism of cyclosporin by the gut. Lancet. 1991;338:1488–1490. doi: 10.1016/0140-6736(91)92302-i. [DOI] [PubMed] [Google Scholar]
- Kumar GN, Jayanti V, Lee RD, Whittern DN, Uchic J, Thomas S, et al. In vitro metabolism of the HIV-1 protease inhibitor ABT-378: species comparison and metabolite identification. Drug Metab Dispos. 1999;27:86–91. [PubMed] [Google Scholar]
- Lagas JS, Vlaming ML, van Tellingen O, Wagenaar E, Jansen RS, Rosing H, et al. Multidrug resistance protein 2 is an important determinant of paclitaxel pharmacokinetics. Clin Cancer Res. 2006;12:6125–6132. doi: 10.1158/1078-0432.CCR-06-1352. [DOI] [PubMed] [Google Scholar]
- Lamba JK, Lin YS, Schuetz EG, Thummel KE. Genetic contribution to variable human CYP3A-mediated metabolism. Adv Drug Deliv Rev. 2002;54:1271–1294. doi: 10.1016/s0169-409x(02)00066-2. [DOI] [PubMed] [Google Scholar]
- van der Lee M, Sankatsing R, Schippers E, Vogel M, Fatkenheuer G, van der Ven A, et al. Pharmacokinetics and pharmacodynamics of combined use of lopinavir/ritonavir and rosuvastatin in HIV-infected patients. Antivir Ther. 2007;12:1127–1132. [PubMed] [Google Scholar]
- Lin YS, Dowling AL, Quigley SD, Farin FM, Zhang J, Lamba J, et al. Co-regulation of CYP3A4 and CYP3A5 and contribution to hepatic and intestinal midazolam metabolism. Mol Pharmacol. 2002;62:162–171. doi: 10.1124/mol.62.1.162. [DOI] [PubMed] [Google Scholar]
- Lown KS, Bailey DG, Fontana RJ, Janardan SK, Adair CH, Fortlage LA, et al. Grapefruit juice increases felodipine oral availability in humans by decreasing intestinal CYP3A protein expression. J Clin Invest. 1997;99:2545–2553. doi: 10.1172/JCI119439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mandlekar S, Hong JL, Kong AN. Modulation of metabolic enzymes by dietary phytochemicals: a review of mechanisms underlying beneficial versus unfavorable effects. Curr Drug Metab. 2006;7:661–675. doi: 10.2174/138920006778017795. [DOI] [PubMed] [Google Scholar]
- Paine MF, Oberlies NH. Clinical relevance of the small intestine as an organ of drug elimination: drug-fruit juice interactions. Expert Opin Drug Metab Toxicol. 2007;3:67–80. doi: 10.1517/17425255.3.1.67. [DOI] [PubMed] [Google Scholar]
- Paine MF, Shen DD, Kunze KL, Perkins JD, Marsh CL, McVicar JP, et al. First-pass metabolism of midazolam by the human intestine. Clin Pharmacol Ther. 1996;60:14–24. doi: 10.1016/S0009-9236(96)90162-9. [DOI] [PubMed] [Google Scholar]
- Schinkel AH, Jonker JW. Mammalian drug efflux transporters of the ATP binding cassette (ABC) family: an overview. Adv Drug Deliv Rev. 2003;55:3–29. doi: 10.1016/s0169-409x(02)00169-2. [DOI] [PubMed] [Google Scholar]
- Schinkel AH, Mayer U, Wagenaar E, Mol CA, van Deemter L, Smit JJ, et al. Normal viability and altered pharmacokinetics in mice lacking mdr1-type (drug-transporting) P-glycoproteins. Proc Natl Acad Sci USA. 1997;94:4028–4033. doi: 10.1073/pnas.94.8.4028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thummel KE. Gut instincts: CYP3A4 and intestinal drug metabolism. J Clin Invest. 2007;117:3173–3176. doi: 10.1172/JCI34007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thummel KE, Wilkinson GR. In vitro and in vivo drug interactions involving human CYP3A. Annu Rev Pharmacol Toxicol. 1998;38:389–430. doi: 10.1146/annurev.pharmtox.38.1.389. [DOI] [PubMed] [Google Scholar]
- Vlaming ML, Mohrmann K, Wagenaar E, de Waart DR, Oude Elferink RP, Lagas JS, et al. Carcinogen and anticancer drug transport by Mrp2 in vivo: studies using Mrp2 (Abcc2) knockout mice. J Pharmacol Exp Ther. 2006;318:319–327. doi: 10.1124/jpet.106.101774. [DOI] [PubMed] [Google Scholar]
- van Waterschoot RA, Lagas JS, Wagenaar E, van der Kruijssen CM, van Herwaarden AE, Song J-Y, et al. Absence of both CYP3A and P-gp dramatically increases docetaxel oral bioavailability and risk of intestinal toxicity. Cancer Res. 2009;69:8996–9002. doi: 10.1158/0008-5472.CAN-09-2915. [DOI] [PubMed] [Google Scholar]
- Watkins PB. The barrier function of CYP3A4 and P-glycoprotein in the small bowel. Adv Drug Deliv Rev. 1997;27:161–170. doi: 10.1016/s0169-409x(97)00041-0. [DOI] [PubMed] [Google Scholar]
- Woodahl EL, Yang Z, Bui T, Shen DD, Ho RJ. MDR1 G1199A polymorphism alters permeability of HIV protease inhibitors across P-glycoprotein-expressing epithelial cells. AIDS. 2005;19:1617–1625. doi: 10.1097/01.aids.0000183626.74299.77. [DOI] [PubMed] [Google Scholar]
- Wu CY, Benet LZ, Hebert MF, Gupta SK, Rowland M, Gomez DY, et al. Differentiation of absorption and first-pass gut and hepatic metabolism in humans: studies with cyclosporine. Clin Pharmacol Ther. 1995;58:492–497. doi: 10.1016/0009-9236(95)90168-X. [DOI] [PubMed] [Google Scholar]
- Zou L, Harkey MR, Henderson GL. Effects of herbal components on cDNA-expressed cytochrome P450 enzyme catalytic activity. Life Sci. 2002;71:1579–1589. doi: 10.1016/s0024-3205(02)01913-6. [DOI] [PubMed] [Google Scholar]
