Representative Sinusoids for Hepatic Four-Scale Pharmacokinetics Simulations
The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the he...
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Published in | PloS one Vol. 10; no. 7; p. e0133653 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
29.07.2015
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0133653 |
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Abstract | The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the healthy state. Pathological states of the liver may involve liver cells affected in a zonated manner or heterogeneously across the whole organ. This spatial heterogeneity, however, cannot be described by most computational models which usually consider the liver as a homogeneous, well-stirred organ. The goal of this article is to present a methodology to extend whole-body pharmacokinetics models by a detailed liver model, combining different modeling approaches from the literature. This approach results in an integrated four-scale model, from single cells via sinusoids and the organ to the whole organism, capable of mechanistically representing metabolization inhomogeneity in livers at different spatial scales. Moreover, the model shows circulatory mixing effects due to a delayed recirculation through the surrounding organism. To show that this approach is generally applicable for different physiological processes, we show three applications as proofs of concept, covering a range of species, compounds, and diseased states: clearance of midazolam in steatotic human livers, clearance of caffeine in mouse livers regenerating from necrosis, and a parameter study on the impact of different cell entities on insulin uptake in mouse livers. The examples illustrate how variations only discernible at the local scale influence substance distribution in the plasma at the whole-body level. In particular, our results show that simultaneously considering variations at all relevant spatial scales may be necessary to understand their impact on observations at the organism scale. |
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AbstractList | The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the healthy state. Pathological states of the liver may involve liver cells affected in a zonated manner or heterogeneously across the whole organ. This spatial heterogeneity, however, cannot be described by most computational models which usually consider the liver as a homogeneous, well-stirred organ. The goal of this article is to present a methodology to extend whole-body pharmacokinetics models by a detailed liver model, combining different modeling approaches from the literature. This approach results in an integrated four-scale model, from single cells via sinusoids and the organ to the whole organism, capable of mechanistically representing metabolization inhomogeneity in livers at different spatial scales. Moreover, the model shows circulatory mixing effects due to a delayed recirculation through the surrounding organism. To show that this approach is generally applicable for different physiological processes, we show three applications as proofs of concept, covering a range of species, compounds, and diseased states: clearance of midazolam in steatotic human livers, clearance of caffeine in mouse livers regenerating from necrosis, and a parameter study on the impact of different cell entities on insulin uptake in mouse livers. The examples illustrate how variations only discernible at the local scale influence substance distribution in the plasma at the whole-body level. In particular, our results show that simultaneously considering variations at all relevant spatial scales may be necessary to understand their impact on observations at the organism scale. The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the healthy state. Pathological states of the liver may involve liver cells affected in a zonated manner or heterogeneously across the whole organ. This spatial heterogeneity, however, cannot be described by most computational models which usually consider the liver as a homogeneous, well-stirred organ. The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the healthy state. Pathological states of the liver may involve liver cells affected in a zonated manner or heterogeneously across the whole organ. This spatial heterogeneity, however, cannot be described by most computational models which usually consider the liver as a homogeneous, well-stirred organ. The goal of this article is to present a methodology to extend whole-body pharmacokinetics models by a detailed liver model, combining different modeling approaches from the literature. This approach results in an integrated four-scale model, from single cells via sinusoids and the organ to the whole organism, capable of mechanistically representing metabolization inhomogeneity in livers at different spatial scales. Moreover, the model shows circulatory mixing effects due to a delayed recirculation through the surrounding organism. To show that this approach is generally applicable for different physiological processes, we show three applications as proofs of concept, covering a range of species, compounds, and diseased states: clearance of midazolam in steatotic human livers, clearance of caffeine in mouse livers regenerating from necrosis, and a parameter study on the impact of different cell entities on insulin uptake in mouse livers. The examples illustrate how variations only discernible at the local scale influence substance distribution in the plasma at the whole-body level. In particular, our results show that simultaneously considering variations at all relevant spatial scales may be necessary to understand their impact on observations at the organism scale.The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the healthy state. Pathological states of the liver may involve liver cells affected in a zonated manner or heterogeneously across the whole organ. This spatial heterogeneity, however, cannot be described by most computational models which usually consider the liver as a homogeneous, well-stirred organ. The goal of this article is to present a methodology to extend whole-body pharmacokinetics models by a detailed liver model, combining different modeling approaches from the literature. This approach results in an integrated four-scale model, from single cells via sinusoids and the organ to the whole organism, capable of mechanistically representing metabolization inhomogeneity in livers at different spatial scales. Moreover, the model shows circulatory mixing effects due to a delayed recirculation through the surrounding organism. To show that this approach is generally applicable for different physiological processes, we show three applications as proofs of concept, covering a range of species, compounds, and diseased states: clearance of midazolam in steatotic human livers, clearance of caffeine in mouse livers regenerating from necrosis, and a parameter study on the impact of different cell entities on insulin uptake in mouse livers. The examples illustrate how variations only discernible at the local scale influence substance distribution in the plasma at the whole-body level. In particular, our results show that simultaneously considering variations at all relevant spatial scales may be necessary to understand their impact on observations at the organism scale. The mammalian liver plays a key role for metabolism and detoxification of xenobiotics in the body. The corresponding biochemical processes are typically subject to spatial variations at different length scales. Zonal enzyme expression along sinusoids leads to zonated metabolization already in the healthy state. Pathological states of the liver may involve liver cells affected in a zonated manner or heterogeneously across the whole organ. This spatial heterogeneity, however, cannot be described by most computational models which usually consider the liver as a homogeneous, well-stirred organ. The goal of this article is to present a methodology to extend whole-body pharmacokinetics models by a detailed liver model, combining different modeling approaches from the literature. This approach results in an integrated four-scale model, from single cells via sinusoids and the organ to the whole organism, capable of mechanistically representing metabolization inhomogeneity in livers at different spatial scales. Moreover, the model shows circulatory mixing effects due to a delayed recirculation through the surrounding organism. To show that this approach is generally applicable for different physiological processes, we show three applications as proofs of concept, covering a range of species, compounds, and diseased states: clearance of midazolam in steatotic human livers, clearance of caffeine in mouse livers regenerating from necrosis, and a parameter study on the impact of different cell entities on insulin uptake in mouse livers. The examples illustrate how variations only discernible at the local scale influence substance distribution in the plasma at the whole-body level. In particular, our results show that simultaneously considering variations at all relevant spatial scales may be necessary to understand their impact on observations at the organism scale. |
Audience | Academic |
Author | Bartolomé Rodríguez, María Matilde Preusser, Tobias Schenk, Arne Kuepfer, Lars Schwen, Lars Ole Kreutz, Clemens Timmer, Jens |
AuthorAffiliation | 5 BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany University College London, UNITED KINGDOM 1 Fraunhofer MEVIS, Bremen, Germany 3 Aachen Institute for Advanced Study in Computational Engineering Sciences, RWTH Aachen University, Aachen, Germany 6 Clinic for Internal Medicine II/Molecular Biology, University of Freiburg Medical Center, Freiburg, Germany 4 Freiburg Center for Data Analysis and Modeling (FDM), Institute of Physics, University of Freiburg, Freiburg, Germany 2 Computational Systems Biology, Bayer Technology Services, Leverkusen, Germany 7 Institute of Applied Microbiology, RWTH Aachen University, Aachen, Germany 8 Jacobs University, Bremen, Germany |
AuthorAffiliation_xml | – name: 5 BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany – name: 7 Institute of Applied Microbiology, RWTH Aachen University, Aachen, Germany – name: 8 Jacobs University, Bremen, Germany – name: 3 Aachen Institute for Advanced Study in Computational Engineering Sciences, RWTH Aachen University, Aachen, Germany – name: 4 Freiburg Center for Data Analysis and Modeling (FDM), Institute of Physics, University of Freiburg, Freiburg, Germany – name: University College London, UNITED KINGDOM – name: 6 Clinic for Internal Medicine II/Molecular Biology, University of Freiburg Medical Center, Freiburg, Germany – name: 1 Fraunhofer MEVIS, Bremen, Germany – name: 2 Computational Systems Biology, Bayer Technology Services, Leverkusen, Germany |
Author_xml | – sequence: 1 givenname: Lars Ole surname: Schwen fullname: Schwen, Lars Ole – sequence: 2 givenname: Arne surname: Schenk fullname: Schenk, Arne – sequence: 3 givenname: Clemens surname: Kreutz fullname: Kreutz, Clemens – sequence: 4 givenname: Jens surname: Timmer fullname: Timmer, Jens – sequence: 5 givenname: María Matilde surname: Bartolomé Rodríguez fullname: Bartolomé Rodríguez, María Matilde – sequence: 6 givenname: Lars surname: Kuepfer fullname: Kuepfer, Lars – sequence: 7 givenname: Tobias surname: Preusser fullname: Preusser, Tobias |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26222615$$D View this record in MEDLINE/PubMed |
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Copyright | COPYRIGHT 2015 Public Library of Science 2015 Schwen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2015 Schwen et al 2015 Schwen et al |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Wrote the paper: LOS AS CK JT MMBR LK TP. Designed the multi-scale model: LOS AS LK TP. Implemented the simulation framework: LOS. Parametrized the midazolam model based on literature data: AS LK. Adapted the caffeine model: AS LK. Performed insulin in vitro experiments: CK MMBR. Designed and parametrized the insulin model: CK JT. Performed the numerical simulations: LOS. Competing Interests: The authors of this manuscript have read the journal’s policy and have the following competing interests: AS and LK are employed by Bayer Technology Services, the company developing PK-Sim. The other authors have declared that no competing interests exist. This does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials. |
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PublicationDate | 2015-07-29 |
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SubjectTerms | Adult Analysis Animal models Animals Biology Blood Circulation Caffeine Caffeine - pharmacokinetics Computer applications Computer simulation Data analysis Detoxification Detoxification therapy (Alternative medicine) Diabetes Drug metabolism Fatty Liver - metabolism Gene expression Health aspects Hepatocytes Heterogeneity Humans Inhomogeneity Insulin Insulin - pharmacokinetics Liver Liver - blood supply Liver - cytology Liver - metabolism Liver - physiology Male Mathematical models Metabolism Mice Midazolam Models, Biological Ordinary differential equations Pharmacokinetics Pharmacology Regeneration Rodents Spatial distribution Spatial heterogeneity Spatial variations Thoracic surgery Variation Veins & arteries Xenobiotics |
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Title | Representative Sinusoids for Hepatic Four-Scale Pharmacokinetics Simulations |
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