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Forecasting Fetal Buprenorphine Exposure through Maternal–Fetal Physiologically Based Pharmacokinetic Modeling

Authors :
Matthijs W. van Hoogdalem
Ryota Tanaka
Khaled Abduljalil
Trevor N. Johnson
Scott L. Wexelblatt
Henry T. Akinbi
Alexander A. Vinks
Tomoyuki Mizuno
Source :
Pharmaceutics, Vol 16, Iss 3, p 375 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Buprenorphine readily crosses the placenta, and with greater prenatal exposure, neonatal opioid withdrawal syndrome (NOWS) likely grows more severe. Current dosing strategies can be further improved by tailoring doses to expected NOWS severity. To allow the conceptualization of fetal buprenorphine exposure, a maternal–fetal physiologically based pharmacokinetic (PBPK) model for sublingual buprenorphine was developed using Simcyp (v21.0). Buprenorphine transplacental passage was predicted from its physicochemical properties. The maternal–fetal PBPK model integrated reduced transmucosal absorption driven by lower salivary pH and induced metabolism observed during pregnancy. Maternal pharmacokinetics was adequately predicted in the second trimester, third trimester, and postpartum period, with the simulated area under the curve from 0 to 12 h, apparent clearance, and peak concentration falling within the 1.25-fold prediction error range. Following post hoc adjustment of the likely degree of individual maternal sublingual absorption, umbilical cord blood concentrations at delivery (n = 21) were adequately predicted, with a geometric mean ratio between predicted and observed fetal concentrations of 1.15 and with 95.2% falling within the 2-fold prediction error range. The maternal–fetal PBPK model developed in this study can be used to forecast fetal buprenorphine exposure and would be valuable to investigate its correlation to NOWS severity.

Details

Language :
English
ISSN :
19994923
Volume :
16
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Pharmaceutics
Publication Type :
Academic Journal
Accession number :
edsdoj.f4fb827a797440a68bc781f557d22126
Document Type :
article
Full Text :
https://doi.org/10.3390/pharmaceutics16030375