Data-driven modelling of drug tissue trapping using anomalous kinetics
This work revisits the pharmacokinetic models derived from classical differential equations and proposes an extension to fractional differential equations to account for tissue trapping, which modifies the predicted drug concentration profiles. Unlike monotonic decay profiles, an oscillatory behavio...
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Published in | Chaos, solitons and fractals Vol. 102; pp. 441 - 446 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.09.2017
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ISSN | 0960-0779 1873-2887 |
DOI | 10.1016/j.chaos.2017.03.031 |
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Abstract | This work revisits the pharmacokinetic models derived from classical differential equations and proposes an extension to fractional differential equations to account for tissue trapping, which modifies the predicted drug concentration profiles. Unlike monotonic decay profiles, an oscillatory behaviour is often observed. The phenomenon may be the result of the recirculation of trapped drug molecules due to the heterogeneity of the tissue combined with the local action of the liver or other organs in depositing part of the drug for later release. The proposed model alleviates this limitation in data fitting profiles, without violating mass balance principles and physiological states. The paper also points to new concepts and techniques in modelling drug pharmacokinetic dynamics to account for short- and long-time recirculation effects. As such, it provides a better characterisation of unexplained secondary effects in patients undergoing treatment. It also establishes a link to unbounded drug accumulation models. |
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AbstractList | This work revisits the pharmacokinetic models derived from classical differential equations and proposes an extension to fractional differential equations to account for tissue trapping, which modifies the predicted drug concentration profiles. Unlike monotonic decay profiles, an oscillatory behaviour is often observed. The phenomenon may be the result of the recirculation of trapped drug molecules due to the heterogeneity of the tissue combined with the local action of the liver or other organs in depositing part of the drug for later release. The proposed model alleviates this limitation in data fitting profiles, without violating mass balance principles and physiological states. The paper also points to new concepts and techniques in modelling drug pharmacokinetic dynamics to account for short- and long-time recirculation effects. As such, it provides a better characterisation of unexplained secondary effects in patients undergoing treatment. It also establishes a link to unbounded drug accumulation models. |
Author | Magin, Richard L. Copot, Dana De Keyser, Robin Ionescu, Clara |
Author_xml | – sequence: 1 givenname: Dana surname: Copot fullname: Copot, Dana email: dana.copot@ugent.be, robain.dekeyser@ugent.be, claramihaela.ionescu@ugent.be organization: Ghent University, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Research group on Dynamical Systems and Control, Technologiepark 914, 9052 Ghent, Belgium – sequence: 2 givenname: Richard L. surname: Magin fullname: Magin, Richard L. email: rmagin@uic.edu organization: University of Illinois at Chicago, Department of Bioengineering, (MC 063) 851 S Morgan St, 218 SEO Chicago, IL 60607, USA – sequence: 3 givenname: Robin surname: De Keyser fullname: De Keyser, Robin organization: Ghent University, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Research group on Dynamical Systems and Control, Technologiepark 914, 9052 Ghent, Belgium – sequence: 4 givenname: Clara surname: Ionescu fullname: Ionescu, Clara organization: Ghent University, Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Research group on Dynamical Systems and Control, Technologiepark 914, 9052 Ghent, Belgium |
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SubjectTerms | Compartmental modelling Diffusion Drug pharmacokinetics Fractional order derivative Heterogeneous Lag time Modelling Recirculation |
Title | Data-driven modelling of drug tissue trapping using anomalous kinetics |
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