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Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions

INTRODUCTION: It has been recognized that significant transporter interactions result in volume of distribution changes in addition to potential changes in clearance. For drugs that are not clinically significant transporter substrates, it is expected that drug–drug interactions would not result in...

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Autores principales: Sodhi, Jasleen K., Huang, Caroline H., Benet, Leslie Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385331/
https://www.ncbi.nlm.nih.gov/pubmed/32725383
http://dx.doi.org/10.1007/s40262-020-00926-7
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author Sodhi, Jasleen K.
Huang, Caroline H.
Benet, Leslie Z.
author_facet Sodhi, Jasleen K.
Huang, Caroline H.
Benet, Leslie Z.
author_sort Sodhi, Jasleen K.
collection PubMed
description INTRODUCTION: It has been recognized that significant transporter interactions result in volume of distribution changes in addition to potential changes in clearance. For drugs that are not clinically significant transporter substrates, it is expected that drug–drug interactions would not result in any changes in volume of distribution. METHODS: An evaluation of this hypothesis proceeded via an extensive analysis of published intravenous metabolic drug–drug interactions, based on clinically recommended index substrates and inhibitors of major cytochrome P450 (CYP) isoforms. RESULTS: Seventy-two metabolic drug interaction studies were identified where volume of distribution at steady-state (V(ss)) values were available for the CYP index substrates caffeine (CYP1A2), metoprolol (CYP2D6), midazolam (CYP3A4), theophylline (CYP1A2), and tolbutamide (CYP2C9). Changes in exposure (area under the curve) up to 5.1-fold were observed; however, ratios of V(ss) changes have a range of 0.70–1.26, with one outlier displaying a V(ss) ratio of 0.57. DISCUSSION: These results support the widely held founding tenant of pharmacokinetics that clearance and V(ss) are independent parameters. Knowledge that V(ss) is unchanged in metabolic drug–drug interactions can be helpful in discriminating changes in clearance from changes in bioavailability (F) when only oral dosing data are available, as we have recently demonstrated. As V(ss) remains unchanged for intravenous metabolic drug–drug interactions, following oral dosing changes in V(ss)/F will reflect changes in F alone. This estimation of F change can subsequently be utilized to assess changes in clearance alone from calculations of apparent clearance. Utilization of this simple methodology for orally dosed drugs will have a significant impact on how drug–drug interactions are interpreted from drug development and regulatory perspectives.
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spelling pubmed-73853312020-07-28 Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions Sodhi, Jasleen K. Huang, Caroline H. Benet, Leslie Z. Clin Pharmacokinet Original Research Article INTRODUCTION: It has been recognized that significant transporter interactions result in volume of distribution changes in addition to potential changes in clearance. For drugs that are not clinically significant transporter substrates, it is expected that drug–drug interactions would not result in any changes in volume of distribution. METHODS: An evaluation of this hypothesis proceeded via an extensive analysis of published intravenous metabolic drug–drug interactions, based on clinically recommended index substrates and inhibitors of major cytochrome P450 (CYP) isoforms. RESULTS: Seventy-two metabolic drug interaction studies were identified where volume of distribution at steady-state (V(ss)) values were available for the CYP index substrates caffeine (CYP1A2), metoprolol (CYP2D6), midazolam (CYP3A4), theophylline (CYP1A2), and tolbutamide (CYP2C9). Changes in exposure (area under the curve) up to 5.1-fold were observed; however, ratios of V(ss) changes have a range of 0.70–1.26, with one outlier displaying a V(ss) ratio of 0.57. DISCUSSION: These results support the widely held founding tenant of pharmacokinetics that clearance and V(ss) are independent parameters. Knowledge that V(ss) is unchanged in metabolic drug–drug interactions can be helpful in discriminating changes in clearance from changes in bioavailability (F) when only oral dosing data are available, as we have recently demonstrated. As V(ss) remains unchanged for intravenous metabolic drug–drug interactions, following oral dosing changes in V(ss)/F will reflect changes in F alone. This estimation of F change can subsequently be utilized to assess changes in clearance alone from calculations of apparent clearance. Utilization of this simple methodology for orally dosed drugs will have a significant impact on how drug–drug interactions are interpreted from drug development and regulatory perspectives. Springer International Publishing 2020-07-28 2021 /pmc/articles/PMC7385331/ /pubmed/32725383 http://dx.doi.org/10.1007/s40262-020-00926-7 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Research Article
Sodhi, Jasleen K.
Huang, Caroline H.
Benet, Leslie Z.
Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions
title Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions
title_full Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions
title_fullStr Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions
title_full_unstemmed Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions
title_short Volume of Distribution is Unaffected by Metabolic Drug–Drug Interactions
title_sort volume of distribution is unaffected by metabolic drug–drug interactions
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385331/
https://www.ncbi.nlm.nih.gov/pubmed/32725383
http://dx.doi.org/10.1007/s40262-020-00926-7
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