Irinotecan PBPK Model for Predicting UGT1A1/CYP3A Drug-Drug Interactions
by Bowen Chen·Updated 11d ago
500.7 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
A supplementary document describes the development and validation of a whole-body physiologically based pharmacokinetic model for the drug irinotecan and its metabolites. The model was calibrated using monotherapy data from 175–300 mg/m² doses and validated across a 33–750 mg/m² dose range, including interactions with ketoconazole, sorafenib, and lopinavir/ritonavir. Bowen Chen authored this document, which was last updated on 2026-05-26.
Use Cases
Predicting systemic pharmacokinetics of irinotecan and its metabolites based on the described PBPK model structure.
Assessing UGT1A1/CYP3A-mediated drug-drug interaction risks using the validated inhibitor scenarios.
Simulating dose-exposure relationships for standard irinotecan regimens as mentioned in the model framework.
Calibrating pharmacokinetic models using the described monotherapy data from 175–300 mg/m² doses.
Strengths
Model validation involved 54/56 (96.4%) comparisons meeting a 2-fold acceptance criterion for Cmax and AUC.
The model was calibrated and validated across a wide dose range from 33 to 750 mg/m².
Documentation includes specific validation against three inhibitor scenarios: ketoconazole, sorafenib, and lopinavir/ritonavir.
Limitations
The dataset is a 500.7 KB DOCX file, which is a small supplementary document rather than a primary data repository.
Row count and column-level documentation are absent; data structure and semantics must be inferred from the text.
The model overpredicted APC exposure in the ketoconazole scenario, as noted in the results.
Provenance
Source
figshare
Collection Method
Model development and simulation using the Simcyp® platform, as described in the document.
Freshness
Last updated 2026-05-26 06:01:51; freshness should be verified.
Primary data file is a DOCX document; users may need to extract numerical data or model parameters from the text.