Robust physiologically based pharmacokinetic model of rifampicin for predicting drug-drug interactions via P-glycoprotein induction and inhibition in the intestine, liver, and kidney.
ATP Binding Cassette Transporter, Subfamily B
ATP Binding Cassette Transporter, Subfamily B, Member 1
Cytochrome P-450 CYP3A
/ metabolism
Digoxin
/ pharmacology
Drug Interactions
Humans
Intestines
Kidney
/ metabolism
Liver
/ metabolism
Membrane Transport Proteins
Models, Biological
Quinidine
/ pharmacology
Rifampin
/ pharmacokinetics
Journal
CPT: pharmacometrics & systems pharmacology
ISSN: 2163-8306
Titre abrégé: CPT Pharmacometrics Syst Pharmacol
Pays: United States
ID NLM: 101580011
Informations de publication
Date de publication:
07 2022
07 2022
Historique:
revised:
05
04
2022
received:
10
12
2021
accepted:
13
04
2022
pubmed:
16
5
2022
medline:
20
7
2022
entrez:
15
5
2022
Statut:
ppublish
Résumé
P-glycoprotein (P-gp) is an efflux transporter that plays an important role in the pharmacokinetics of its substrate, and P-gp activities can be altered by induction and inhibition effects of rifampicin. This study aimed to establish a physiologically based pharmacokinetic (PBPK) model of rifampicin to predict the P-gp-mediated drug-drug interactions (DDIs) and assess the DDI impact in the intestine, liver, and kidney. The induction and inhibition parameters of rifampicin for P-gp were estimated using two of seven DDI cases of rifampicin and digoxin and incorporated into our previously constructed PBPK model of rifampicin. The constructed rifampicin model was verified using the remaining five DDI cases with digoxin and five DDI cases with other P-gp substrates (talinolol and quinidine). Based on the established PBPK model, following repeated dosing of 600 mg rifampicin, the deduced net effect was an approximately threefold induction in P-gp activities in the intestine, liver, and kidney. Furthermore, in all 12 cases the predicted area under the plasma concentration-time curve ratios of the P-gp substrates were within the predefined acceptance criteria with various dosing regimens. Intestinal effects of P-gp-mediated DDIs had their greatest impact on the pharmacokinetics of digoxin and talinolol, with a minimal impact on the liver and kidney. For quinidine, predicted intestinal P-gp/cytochrome P450 3A-mediated DDIs were slightly underestimated because of the complexity of nonlinearity and transporter-enzyme interplay. These findings demonstrate that our rifampicin model can be applicable to quantitatively predict the net impact of P-gp induction and/or inhibition on diverse P-gp substrates and investigate the magnitude of DDIs in each tissue.
Identifiants
pubmed: 35570332
doi: 10.1002/psp4.12807
pmc: PMC9286720
doi:
Substances chimiques
ATP Binding Cassette Transporter, Subfamily B
0
ATP Binding Cassette Transporter, Subfamily B, Member 1
0
Membrane Transport Proteins
0
Digoxin
73K4184T59
Cytochrome P-450 CYP3A
EC 1.14.14.1
Quinidine
ITX08688JL
Rifampin
VJT6J7R4TR
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
919-933Informations de copyright
© 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
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