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Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers

Quantitative prediction of herb–drug interaction risk remains challenging. A quantitative framework to assess a potential interaction was used to evaluate a mechanism not previously tested in humans. The semipurified milk thistle product, silibinin, was selected as an exemplar herbal product inhibit...

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Autores principales: Gufford, BT, Barr, JT, González‐Pérez, V, Layton, ME, White, JR, Oberlies, NH, Paine, MF
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759704/
https://www.ncbi.nlm.nih.gov/pubmed/26904384
http://dx.doi.org/10.1002/psp4.12047
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author Gufford, BT
Barr, JT
González‐Pérez, V
Layton, ME
White, JR
Oberlies, NH
Paine, MF
author_facet Gufford, BT
Barr, JT
González‐Pérez, V
Layton, ME
White, JR
Oberlies, NH
Paine, MF
author_sort Gufford, BT
collection PubMed
description Quantitative prediction of herb–drug interaction risk remains challenging. A quantitative framework to assess a potential interaction was used to evaluate a mechanism not previously tested in humans. The semipurified milk thistle product, silibinin, was selected as an exemplar herbal product inhibitor of raloxifene intestinal glucuronidation. Physiologically based pharmacokinetic (PBPK) model simulations of the silibinin–raloxifene interaction predicted up to 30% increases in raloxifene area under the curve (AUC(0‐inf)) and maximal concentration (C(max)). Model‐informed clinical evaluation of the silibinin–raloxifene interaction indicated minimal clinical interaction liability, with observed geometric mean raloxifene AUC(0‐inf) and C(max) ratios lying within the predefined no effect range (0.75–1.33). Further refinement of PBPK modeling and simulation approaches will enhance confidence in predictions and facilitate generalizability to additional herb–drug combinations. This quantitative framework can be used to develop guidances to evaluate potential herb–drug interactions prospectively, providing evidenced‐based information about the risk or safety of these interactions.
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spelling pubmed-47597042016-02-22 Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers Gufford, BT Barr, JT González‐Pérez, V Layton, ME White, JR Oberlies, NH Paine, MF CPT Pharmacometrics Syst Pharmacol Original Articles Quantitative prediction of herb–drug interaction risk remains challenging. A quantitative framework to assess a potential interaction was used to evaluate a mechanism not previously tested in humans. The semipurified milk thistle product, silibinin, was selected as an exemplar herbal product inhibitor of raloxifene intestinal glucuronidation. Physiologically based pharmacokinetic (PBPK) model simulations of the silibinin–raloxifene interaction predicted up to 30% increases in raloxifene area under the curve (AUC(0‐inf)) and maximal concentration (C(max)). Model‐informed clinical evaluation of the silibinin–raloxifene interaction indicated minimal clinical interaction liability, with observed geometric mean raloxifene AUC(0‐inf) and C(max) ratios lying within the predefined no effect range (0.75–1.33). Further refinement of PBPK modeling and simulation approaches will enhance confidence in predictions and facilitate generalizability to additional herb–drug combinations. This quantitative framework can be used to develop guidances to evaluate potential herb–drug interactions prospectively, providing evidenced‐based information about the risk or safety of these interactions. John Wiley and Sons Inc. 2015-11-28 2015-12 /pmc/articles/PMC4759704/ /pubmed/26904384 http://dx.doi.org/10.1002/psp4.12047 Text en © 2015 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Gufford, BT
Barr, JT
González‐Pérez, V
Layton, ME
White, JR
Oberlies, NH
Paine, MF
Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
title Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
title_full Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
title_fullStr Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
title_full_unstemmed Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
title_short Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
title_sort quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759704/
https://www.ncbi.nlm.nih.gov/pubmed/26904384
http://dx.doi.org/10.1002/psp4.12047
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