QSAR-based physiologically based pharmacokinetic (PBPK) modeling for 34 fentanyl analogs: model validation, human pharmacokinetic prediction and abuse risk insights

This study demonstrates that the QSAR-PBPK framework enables rapid prediction of human pharmacokinetics (PK) for understudied fentanyl analogs without relying on scarce experimental data. For structurally similar, clinically characterized analogs (e.g., sufentanil, alfentanil), predictions of key PK parameters (e.g., T<sub>1/2</sub>, V<sub>ss</sub>) fall within 1.3-1.7-fold of clinical data, supporting the framework's utility for generating testable hypotheses about the PK of understudied analogs. It not only fills the data gap for fentanyl analog hazard assessment but also provides a scalable modeling strategy for PK evaluation of other NPS or illicit drugs.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2025-10-17
DOI
https://doi.org/10.3389/fphar.2025.1692293
Citations
2
Primary Topic
Treatment of Major Depression
Type
article
Field-Weighted Citation Impact
2.79

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article

QSAR-based physiologically based pharmacokinetic (PBPK) modeling for 34 fentanyl analogs: model validation, human pharmacokinetic prediction and abuse risk insights

Y. P. Xu, Peng Xu, Kaixi Li, Yuanyuan Chen et al.
2 citations
Frontiers in Pharmacology
Treatment of Major Depression
2.79
article

QSAR-based physiologically based pharmacokinetic (PBPK) modeling for 34 fentanyl analogs: model validation, human pharmacokinetic prediction and abuse risk insights

Y. P. Xu, Peng Xu, Kaixi Li, Yuanyuan Chen, Simeng Zhang, Lixin Kuai, Jingzhi Ran, Fang Yan, Xianbin Zeng, Dan Wang
article en
2 citations

Abstract

This study demonstrates that the QSAR-PBPK framework enables rapid prediction of human pharmacokinetics (PK) for understudied fentanyl analogs without relying on scarce experimental data. For structurally similar, clinically characterized analogs (e.g., sufentanil, alfentanil), predictions of key PK parameters (e.g., T<sub>1/2</sub>, V<sub>ss</sub>) fall within 1.3-1.7-fold of clinical data, supporting the framework's utility for generating testable hypotheses about the PK of understudied analogs. It not only fills the data gap for fentanyl analog hazard assessment but also provides a scalable modeling strategy for PK evaluation of other NPS or illicit drugs.

Frontiers in PharmacologyVol. 16
Ministry of Public Security of the People's Republic of China (CN), China Pharmaceutical University (CN), National Health and Family Planning Commission (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Treatment of Major Depression
2.79
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QSAR-based physiologically based pharmacokinetic (PBPK) modeling for 34 fentanyl analogs: model validation, human pharmacokinetic prediction and abuse risk insights — Y. P. Xu, Peng Xu, et al. · Frontiers in Pharmacology (2025) | TGRS Research Map | TGRS