Relating transdermal delivery plasma pharmacokinetics with in vitro permeation test (IVPT) findings using diffusion and compartment-in-series models.

Compartment-in-series skin models Diffusion models Plasma concentration Transdermal in vitro skin permeation tests (IVPT) in vitro – in vivo relationship (IVIVR), pharmacokinetics in vivo topical absorption

Journal

Journal of controlled release : official journal of the Controlled Release Society
ISSN: 1873-4995
Titre abrégé: J Control Release
Pays: Netherlands
ID NLM: 8607908

Informations de publication

Date de publication:
10 06 2021
Historique:
received: 23 10 2020
revised: 08 04 2021
accepted: 11 04 2021
pubmed: 16 4 2021
medline: 8 7 2021
entrez: 15 4 2021
Statut: ppublish

Résumé

Increasing emphasis is being placed on using in vitro permeation test (IVPT) results for topical products as a surrogate for their in vivo behaviour. This study sought to relate in vivo plasma concentration - time pharmacokinetic (PK) profiles after topical application of drug products to IVPT findings with mechanistic diffusion and compartment models that are now widely used to describe permeation of solutes across the main skin transport barrier, the stratum corneum. Novel in vivo forms of the diffusion and compartment-in-series models were developed by combining their IVPT model forms with appropriate in vivo disposition functions. Available in vivo and IVPT data were then used with the models in data analyses, including the estimation of prediction intervals for in vivo plasma concentrations derived from IVPT data. The resulting predicted in vivo plasma concentration - time profiles for the full models corresponded closely with the observed results for both nitroglycerin and rivastigmine at all times. In contrast, reduced forms of these in vivo models led to discrepancies between model predictions and observed results at early times. A two-stage deconvolution procedure was also used to estimate the in vivo cumulative amount absorbed and shown to be linearly related to that from IVPT, with an acceptable prediction error. External predictability was also shown using a separate set of in vitro and in vivo data for different nitroglycerin patches. This work suggests that mechanistic and physiologically based pharmacokinetic models can be used to predict in vivo behaviour from IVPT data for topical products.

Identifiants

pubmed: 33857564
pii: S0168-3659(21)00176-0
doi: 10.1016/j.jconrel.2021.04.010
pii:
doi:

Substances chimiques

Pharmaceutical Preparations 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

37-51

Subventions

Organisme : FDA HHS
ID : U01 FD005232
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

Xin Liu (X)

Therapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia.

Yuri G Anissimov (YG)

School of Environment and Science, Griffith University, Parklands Drive, Southport, QLD 4222, Australia.

Jeffrey E Grice (JE)

Therapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia. Electronic address: jeff.grice@uq.edu.au.

Hanumanth Srikanth Cheruvu (HS)

Therapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia.

Priyanka Ghosh (P)

Division of Therapeutic Performance, Office of Research and Standards, Office of Generic Drugs, U.S. Food and Drug Administration, Silver Spring, MD, USA.

Sam G Raney (SG)

Division of Therapeutic Performance, Office of Research and Standards, Office of Generic Drugs, U.S. Food and Drug Administration, Silver Spring, MD, USA.

Howard I Maibach (HI)

Department of Dermatology, University of California, San Francisco, California, USA.

Michael S Roberts (MS)

Therapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD 4102, Australia; Therapeutics Research Centre, University of South Australia Division of Clinical and Health Sciences, Basil Hetzel Institute for Translational Medical Research, The Queen Elizabeth Hospital, Woodville, SA 5011, Australia.

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Classifications MeSH