2019
DOI: 10.1002/psp4.12458
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Physiologically‐Based Pharmacokinetic Modeling Approach to Predict Rifampin‐Mediated Intestinal P‐Glycoprotein Induction

Abstract: Physiologically‐based pharmacokinetic (PBPK) modeling is a powerful tool to quantitatively describe drug disposition profiles in vivo, thereby providing an alternative to predict drug–drug interactions (DDIs) that have not been tested clinically. This study aimed to predict effects of rifampin‐mediated intestinal P‐glycoprotein (Pgp) induction on pharmacokinetics of Pgp substrates via PBPK modeling. First, we selected four Pgp substrates (digoxin, talinolol, quinidine, and dabigatran etexilate) to derive in vi… Show more

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Cited by 45 publications
(63 citation statements)
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References 47 publications
(127 reference statements)
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“…In these studies, the duodenal content of P-gp from gut biopsies was highly inversely correlated to digoxin and talinolol systemic exposure, demonstrating the predominant impact on intestinal P-gp [63,64]. These results suggest that three to fourfold increases in intestinal P-gp abundances by P-gp inducers result in maximal effect in reduction of exposure of the P-gp substrate when administered orally [94], given that rifampin appears to be the strongest P-gp inducer studied to date.…”
Section: Rifampinmentioning
confidence: 68%
See 1 more Smart Citation
“…In these studies, the duodenal content of P-gp from gut biopsies was highly inversely correlated to digoxin and talinolol systemic exposure, demonstrating the predominant impact on intestinal P-gp [63,64]. These results suggest that three to fourfold increases in intestinal P-gp abundances by P-gp inducers result in maximal effect in reduction of exposure of the P-gp substrate when administered orally [94], given that rifampin appears to be the strongest P-gp inducer studied to date.…”
Section: Rifampinmentioning
confidence: 68%
“…These models have been increasingly used to assess CYP450 enzymemediated DDIs to derive dosing recommendations in lieu of dedicated clinical studies [6,128]. In recent years, examples on the use of PBPK for substrates of OATP, renal transporters, and P-gp have been described [94,128]. For example, talinolol PK were described using a PBPK model that incorporated the saturable kinetics of P-gp in the intestine and adequately described the increased oral bioavailability with higher talinolol doses [129].…”
Section: Interpretation and Practical Implications Of Key Findingsmentioning
confidence: 99%
“…5 Subsequent PBPK modeling of the effects of multiple high-dose rifampin on digoxin, talinolol, and dabigatran etexilate ( Table 1) estimated maximal induction of intestinal P-gp within this approximately threefold to fourfold range. 5,6,16 Therefore, it was reasonably assumed that clinical induction of intestinal P-gp by multiple high-dose rifampin represents maximal induction response (strongest clinical PXR activator). Physiologically-based pharmacokinetic modeling could be used to interrogate whether an approximately threefold to fourfold induction of intestinal P-gp impacts the absorption and exposure of likely comedications that are P-gp substrates or an investigational drug with P-gp-limited absorption.…”
Section: Evaluation Of P-gp Induction: Ddi Prediction Approachesmentioning
confidence: 99%
“…Increased duodenal ABCB1 mRNA after multiple doses of rifampicin 600 mg dose were reported to be 1.55-fold to 3.67-fold 18,19 . Further, Yamazaki et al investigated rifampicin's P-gp induction effects with several P-gp substrates using PBPK modeling and simulation and demonstrated a 3-fold to 4-fold increase in intestinal P-gp activity reasonably predicted the DDI between rifampicin and P-gp substrates 20 . Taken together, the fold increase in intestinal P-gp after rifampicin 600 mg multiple dose was defined to be 3.5-fold.…”
Section: Accepted Articlementioning
confidence: 99%