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Titel: Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions
VerfasserIn: Britz, Hannah
Hanke, Nina
Taub, Mitchell E.
Wang, Ting
Prasad, Bhagwat
Fernandez, Éric
Stopfer, Peter
Nock, Valerie
Lehr, Thorsten
Sprache: Englisch
Titel: Pharmaceutical Research
Bandnummer: 37
Heft: 12
Verlag/Plattform: Springer Nature
Erscheinungsjahr: 2020
Freie Schlagwörter: drug-drug interaction (DDI)
furosemide
organic anion transporter (OAT)
physiologically based pharmacokinetic modeling (PBPK)
probenecid
DDC-Sachgruppe: 500 Naturwissenschaften
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Purpose To provide whole-body physiologically based pharmacokinetic (PBPK) models of the potent clinical organic anion transporter (OAT) inhibitor probenecid and the clinical OAT victim drug furosemide for their application in transporter-based drug-drug interaction (DDI) modeling. Methods PBPK models of probenecid and furosemide were developed in PK-Sim®. Drug-dependent parameters and plasma concentration-time profiles following intravenous and oral probenecid and furosemide administration were gathered from literature and used for model development. For model evaluation, plasma concentration-time profiles, areas under the plasma concentration–time curve (AUC) and peak plasma concentrations (Cmax) were predicted and compared to observed data. In addition, the models were applied to predict the outcome of clinical DDI studies. Results The developed models accurately describe the reported plasma concentrations of 27 clinical probenecid studies and of 42 studies using furosemide. Furthermore, application of these models to predict the probenecid-furosemide and probenecid-rifampicin DDIs demonstrates their good performance, with 6/7 of the predicted DDI AUC ratios and 4/5 of the predicted DDI Cmax ratios within 1.25-fold of the observed values, and all predicted DDI AUC and Cmax ratios within 2.0-fold. Conclusions Whole-body PBPK models of probenecid and furosemide were built and evaluated, providing useful tools to support the investigation of transporter mediated DDIs.
DOI der Erstveröffentlichung: 10.1007/s11095-020-02964-z
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-337558
hdl:20.500.11880/31091
http://dx.doi.org/10.22028/D291-33755
ISSN: 1573-904X
0724-8741
Datum des Eintrags: 8-Apr-2021
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Information
In Beziehung stehendes Objekt: https://static-content.springer.com/esm/art%3A10.1007%2Fs11095-020-02964-z/MediaObjects/11095_2020_2964_MOESM1_ESM.pdf
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Pharmazie
Professur: NT - Prof. Dr. Thorsten Lehr
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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