Parent-metabolite PBPK model of methotrexate to inform pediatric extrapolation, transporter-mediated drug–drug interactions, and renal impairment

Abstract Methotrexate (MTX) is widely used in treating chronic inflammatory diseases and in chemotherapy for both adult and pediatric patients. Its pharmacokinetics are complex, as MTX is a substrate of multiple transporters. Particularly during high-dose chemotherapeutic use, it is associated with severe toxicities including reversible kidney impairment and hematological toxicity. Physiologically based pharmacokinetic (PBPK) modeling offers a mechanistic approach to predict drug pharmacokinetics and guide dosing, especially in pediatric applications where clinical data is limited. A whole-body parent-metabolite PBPK model of MTX and 7-hydroxymethotrexate was developed in PK-Sim ® (version 12.1) for intravenous and oral administration in adults and children. Model development used 42 MTX and 16 metabolite plasma concentration-time profiles and showed strong predictive performance, with 53/58 area under the plasma concentration-time curve and 38/39 maximum plasma concentration values within a 2-fold range of observed data. Pediatric extrapolation incorporating transporter ontogeny yielded adequate predictions. Drug-drug interaction simulations for five perpetrator drugs met established acceptance criteria, and renal impairment simulations revealed markedly increased exposure in the high-dose setting. The model will be made publicly available to support dose optimization across clinical scenarios.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-11-07
DOI
https://doi.org/10.1038/s41598-026-77381-0
Primary Topic
Pharmaceutical studies and practices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Parent-metabolite PBPK model of methotrexate to inform pediatric extrapolation, transporter-mediated drug–drug interactions, and renal impairment

Dominik Selzer, Christiane Dings, Marc Remke, Vita Dolžan et al.
Scientific Reports
Pharmaceutical studies and practices
article

Parent-metabolite PBPK model of methotrexate to inform pediatric extrapolation, transporter-mediated drug–drug interactions, and renal impairment

Dominik Selzer, Christiane Dings, Marc Remke, Vita Dolžan, Daniela Yildiz, Fatima Zahra Marok, Thorsten Lehr, Charlotte Maria Ursula Dette, Veronika Alberg, Barbara Faganel Kotnik, Jörg Bittenbring, Matthias Schwab
article en

Abstract

Abstract Methotrexate (MTX) is widely used in treating chronic inflammatory diseases and in chemotherapy for both adult and pediatric patients. Its pharmacokinetics are complex, as MTX is a substrate of multiple transporters. Particularly during high-dose chemotherapeutic use, it is associated with severe toxicities including reversible kidney impairment and hematological toxicity. Physiologically based pharmacokinetic (PBPK) modeling offers a mechanistic approach to predict drug pharmacokinetics and guide dosing, especially in pediatric applications where clinical data is limited. A whole-body parent-metabolite PBPK model of MTX and 7-hydroxymethotrexate was developed in PK-Sim ® (version 12.1) for intravenous and oral administration in adults and children. Model development used 42 MTX and 16 metabolite plasma concentration-time profiles and showed strong predictive performance, with 53/58 area under the plasma concentration-time curve and 38/39 maximum plasma concentration values within a 2-fold range of observed data. Pediatric extrapolation incorporating transporter ontogeny yielded adequate predictions. Drug-drug interaction simulations for five perpetrator drugs met established acceptance criteria, and renal impairment simulations revealed markedly increased exposure in the high-dose setting. The model will be made publicly available to support dose optimization across clinical scenarios.

Scientific Reports
University of Ljubljana (SI), Ljubljana University Medical Centre (SI), Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology (DE), University of Tübingen (DE), Saarland University (DE)
European Commission, Robert Bosch Stiftung, Deutsche Forschungsgemeinschaft, Universität des Saarlandes, HORIZON EUROPE Framework Programme, European Health and Digital Executive Agency
Good health and well-being
Openalex Percentile: Top 11%
Pharmaceutical studies and practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon