Mechanism‐Based Predictions of Local Tissue and Systemic Exposure for Drug Products Delivered Through the Female Reproductive Tract

Effective drug delivery through the female reproductive tract (FRT) presents unique challenges due to the lack of robust predictive models for drug exposure via this route. Addressing this gap, we developed and evaluated a comprehensive whole-body physiologically based pharmacokinetic (PBPK) model that incorporates anatomical and physiological information of the FRT. This model was calibrated using both published and experimental data for the drug levonorgestrel (LNG), administered via oral, vaginal, and intrauterine routes. The PBPK model simulates drug absorption, distribution, and elimination, providing predictions of local tissue concentrations and systemic exposure. The majority of observations can be contained within or overlaid with the simulated profiles. Noteworthy is the model's capability to predict the pharmacokinetics of LNG with reasonable precision across different administration routes, thereby demonstrating its potential utility in supporting drug development and regulatory decisions. The application of this model allows for exploration of drug formulations and dosing regimens, reducing the reliance on extensive clinical trials. Furthermore, the model may potentially be used to facilitate generic drug development, and thus promote generic competition, for drug products that are important in women's health. By bridging critical knowledge gaps, this model facilitates in silico evaluation of drugs administered through the FRT, potentially fostering advancements in therapeutic strategies and patient care.

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Publication Details

Journal
The Journal of Clinical Pharmacology
Published
2026-02-01
DOI
https://doi.org/10.1002/jcph.70159
Primary Topic
Pregnancy and Medication Impact
Type
article
Field-Weighted Citation Impact
0.00

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article

Mechanism‐Based Predictions of Local Tissue and Systemic Exposure for Drug Products Delivered Through the Female Reproductive Tract

Beatrice Chen, Sharon L. Achilles, zhongfang zhang, Xinnong Li et al.
The Journal of Clinical Pharmacology
Pregnancy and Medication Impact
article

Mechanism‐Based Predictions of Local Tissue and Systemic Exposure for Drug Products Delivered Through the Female Reproductive Tract

Beatrice Chen, Sharon L. Achilles, zhongfang zhang, Xinnong Li, Thomas Straubinger, Mark Donnelly, Robert J. Bies, Liang Zhao, Eleftheria Tsakalozou, Guru Valicherla
article en

Abstract

Effective drug delivery through the female reproductive tract (FRT) presents unique challenges due to the lack of robust predictive models for drug exposure via this route. Addressing this gap, we developed and evaluated a comprehensive whole-body physiologically based pharmacokinetic (PBPK) model that incorporates anatomical and physiological information of the FRT. This model was calibrated using both published and experimental data for the drug levonorgestrel (LNG), administered via oral, vaginal, and intrauterine routes. The PBPK model simulates drug absorption, distribution, and elimination, providing predictions of local tissue concentrations and systemic exposure. The majority of observations can be contained within or overlaid with the simulated profiles. Noteworthy is the model's capability to predict the pharmacokinetics of LNG with reasonable precision across different administration routes, thereby demonstrating its potential utility in supporting drug development and regulatory decisions. The application of this model allows for exploration of drug formulations and dosing regimens, reducing the reliance on extensive clinical trials. Furthermore, the model may potentially be used to facilitate generic drug development, and thus promote generic competition, for drug products that are important in women's health. By bridging critical knowledge gaps, this model facilitates in silico evaluation of drugs administered through the FRT, potentially fostering advancements in therapeutic strategies and patient care.

The Journal of Clinical PharmacologyVol. 66(2)
Center for Drug Evaluation and Research (US), University of Pittsburgh (US), University of California, San Francisco (US), Magee-Womens Research Institute (US), University at Buffalo, State University of New York (US)
Hamilton Health Sciences Foundation
Gender equality
Openalex Percentile: Top 55%
Pregnancy and Medication Impact
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