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Abstract

It has been shown that prolonged systemic presence of a drug can cause a build-up of that drug in the skin. This drug ‘reservoir’, if properly understood, could provide useful information about recent drug-taking history of the patient. We create a pair of coupled mathematical models which combine to explore the potential for a drug reservoir to establish based on the kinetic properties of the drug. The first compartmental model is used to characterise time-dependent drug concentrations in plasma and tissue following a customisable drug regimen. Outputs from this model provide boundary conditions for the second, spatio-temporal model of drug build-up in the skin. We focus on drugs that are highly bound as this will restrict their potential to move freely into the skin but which are lipophilic so that, in the unbound form, they would demonstrate an affinity to the outer layers of the skin. Buprenorphine, a drug used to treat opiate addiction, is one example of a drug satisfying these properties. In the discussion we highlight how our study might be used to inform future experimental design and data collection to provide relevant parameter estimates for reservoir formation and its potential to contribute to enhanced drug monitoring techniques.

Original languageEnglish
Pages (from-to)36-45
Number of pages10
JournalMathematical Biosciences
Volume281
Early online date31 Aug 2016
DOIs
Publication statusPublished - 1 Nov 2016

Fingerprint

Skin
Drugs
drugs
Modeling
Pharmaceutical Preparations
Design of experiments
Boundary conditions
Tissue
Mathematical models
Plasmas
Kinetics
Monitoring
Opiate Alkaloids
Opioid-Related Disorders
Buprenorphine
Drug Monitoring
buprenorphine
Compartmental Model
Spatio-temporal Model
Coupled Model

Keywords

  • Binding
  • Drug reservoir
  • Lipophilic
  • Mathematical modelling
  • Non-invasive drug monitoring
  • Skin

Cite this

A mechanistic approach to modelling the formation of a drug reservoir in the skin. / Jones, J. G.; White, K. A. J.; Delgado-Charro, M. B.

In: Mathematical Biosciences, Vol. 281, 01.11.2016, p. 36-45.

Research output: Contribution to journalArticle

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