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A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction
Besides logistical and ethical concerns, evaluation of safety and efficacy of medications in pregnant women is complicated by marked changes in pharmacokinetics (PK) of drugs. For example, CYP3A activity is induced during the third trimester (T(3)). We explored whether a previously published physiol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3606941/ https://www.ncbi.nlm.nih.gov/pubmed/23835883 http://dx.doi.org/10.1038/psp.2012.2 |
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author | Ke, A B Nallani, S C Zhao, P Rostami-Hodjegan, A Unadkat, J D |
author_facet | Ke, A B Nallani, S C Zhao, P Rostami-Hodjegan, A Unadkat, J D |
author_sort | Ke, A B |
collection | PubMed |
description | Besides logistical and ethical concerns, evaluation of safety and efficacy of medications in pregnant women is complicated by marked changes in pharmacokinetics (PK) of drugs. For example, CYP3A activity is induced during the third trimester (T(3)). We explored whether a previously published physiologically based pharmacokinetic (PBPK) model could quantitatively predict PK profiles of CYP3A-metabolized drugs during T(3), and discern the site of CYP3A induction (i.e., liver, intestine, or both). The model accounted for gestational age-dependent changes in maternal physiological function and hepatic CYP3A activity. For model verification, mean plasma area under the curve (AUC), peak plasma concentration (C(max)), and trough plasma concentration (C(min)) of midazolam (MDZ), nifedipine (NIF), and indinavir (IDV) were predicted and compared with published studies. The PBPK model successfully predicted MDZ, NIF, and IDV disposition during T(3). A sensitivity analysis suggested that CYP3A induction in T(3) is most likely hepatic and not intestinal. Our PBPK model is a useful tool to evaluate different dosing regimens during T(3) for drugs cleared primarily via CYP3A metabolism. |
format | Online Article Text |
id | pubmed-3606941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-36069412013-04-09 A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction Ke, A B Nallani, S C Zhao, P Rostami-Hodjegan, A Unadkat, J D CPT Pharmacometrics Syst Pharmacol Original Article Besides logistical and ethical concerns, evaluation of safety and efficacy of medications in pregnant women is complicated by marked changes in pharmacokinetics (PK) of drugs. For example, CYP3A activity is induced during the third trimester (T(3)). We explored whether a previously published physiologically based pharmacokinetic (PBPK) model could quantitatively predict PK profiles of CYP3A-metabolized drugs during T(3), and discern the site of CYP3A induction (i.e., liver, intestine, or both). The model accounted for gestational age-dependent changes in maternal physiological function and hepatic CYP3A activity. For model verification, mean plasma area under the curve (AUC), peak plasma concentration (C(max)), and trough plasma concentration (C(min)) of midazolam (MDZ), nifedipine (NIF), and indinavir (IDV) were predicted and compared with published studies. The PBPK model successfully predicted MDZ, NIF, and IDV disposition during T(3). A sensitivity analysis suggested that CYP3A induction in T(3) is most likely hepatic and not intestinal. Our PBPK model is a useful tool to evaluate different dosing regimens during T(3) for drugs cleared primarily via CYP3A metabolism. Nature Publishing Group 2012-09 2012-09-26 /pmc/articles/PMC3606941/ /pubmed/23835883 http://dx.doi.org/10.1038/psp.2012.2 Text en Copyright © 2012 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ CPT: Pharmacometrics and Systems Pharmacology is an open-access journal published by Nature Publishing Group. This work is licensed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Ke, A B Nallani, S C Zhao, P Rostami-Hodjegan, A Unadkat, J D A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction |
title | A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction |
title_full | A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction |
title_fullStr | A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction |
title_full_unstemmed | A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction |
title_short | A PBPK Model to Predict Disposition of CYP3A-Metabolized Drugs in Pregnant Women: Verification and Discerning the Site of CYP3A Induction |
title_sort | pbpk model to predict disposition of cyp3a-metabolized drugs in pregnant women: verification and discerning the site of cyp3a induction |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3606941/ https://www.ncbi.nlm.nih.gov/pubmed/23835883 http://dx.doi.org/10.1038/psp.2012.2 |
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