Physiologically Based Pharmacokinetic Modeling to Predict Maternal Pharmacokinetic Changes of Topiramate During Pregnancy and Recommend Dose Adjustments

Topiramate is increasingly used in the treatment of epilepsy during pregnancy. However, its plasma concentration evidently decreases during pregnancy, which may reduce its efficacy. This study aimed to develop a physiologically based pharmacokinetic (PBPK) model of topiramate to simulate maternal and fetal pharmacokinetic changes across different trimesters and to propose dose adjustments. We established a topiramate pregnancy PBPK model in PK-Sim and Mobi. The model was validated using clinically observed data and subsequently used to optimize the dosage during pregnancy. Simulation results showed that the mean steady-state trough plasma concentration of topiramate decreased by 9.4%, 32%, and 46% in the first, second, and third trimesters, respectively. Based on these findings, the dosage should remain unchanged during the first trimester of pregnancy. However, increasing the baseline dose of topiramate by at least 1.5- and 1.9-fold during the second and third trimesters, respectively, may help maintain effective plasma concentrations. This study provides reference information for topiramate dosage adjustment during pregnancy and helps improve its safety and efficacy in pregnant women and fetuses.

Authors

Institutions

Publication Details

Journal
The Journal of Clinical Pharmacology
Published
2025-09-09
DOI
https://doi.org/10.1002/jcph.70105
Citations
1
Primary Topic
Pharmacological Effects and Toxicity Studies
Type
article
Field-Weighted Citation Impact
3.49

Funders

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

Physiologically Based Pharmacokinetic Modeling to Predict Maternal Pharmacokinetic Changes of Topiramate During Pregnancy and Recommend Dose Adjustments

Wanhong Wu, Ke Meng, Cuihong Lin, Yuying Chen
1 citations
The Journal of Clinical Pharmacology
Pharmacological Effects and Toxicity Studies
3.49
article

Physiologically Based Pharmacokinetic Modeling to Predict Maternal Pharmacokinetic Changes of Topiramate During Pregnancy and Recommend Dose Adjustments

Wanhong Wu, Ke Meng, Cuihong Lin, Yuying Chen
article en
1 citations

Abstract

Topiramate is increasingly used in the treatment of epilepsy during pregnancy. However, its plasma concentration evidently decreases during pregnancy, which may reduce its efficacy. This study aimed to develop a physiologically based pharmacokinetic (PBPK) model of topiramate to simulate maternal and fetal pharmacokinetic changes across different trimesters and to propose dose adjustments. We established a topiramate pregnancy PBPK model in PK-Sim and Mobi. The model was validated using clinically observed data and subsequently used to optimize the dosage during pregnancy. Simulation results showed that the mean steady-state trough plasma concentration of topiramate decreased by 9.4%, 32%, and 46% in the first, second, and third trimesters, respectively. Based on these findings, the dosage should remain unchanged during the first trimester of pregnancy. However, increasing the baseline dose of topiramate by at least 1.5- and 1.9-fold during the second and third trimesters, respectively, may help maintain effective plasma concentrations. This study provides reference information for topiramate dosage adjustment during pregnancy and helps improve its safety and efficacy in pregnant women and fetuses.

The Journal of Clinical PharmacologyVol. 65(12)
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN)
Natural Science Foundation of Fujian Province
Openalex Percentile: Top 7%
Pharmacological Effects and Toxicity Studies
3.49
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.

Physiologically Based Pharmacokinetic Modeling to Predict Maternal Pharmacokinetic Changes of Topiramate During Pregnancy and Recommend Dose Adjustments — Wanhong Wu, Ke Meng, et al. · The Journal of Clinical Pharmacology (2025) | TGRS Research Map | TGRS